- AbbreviationPatternProvider - Class in org.openimaj.text.nlp.patterns
-
common abbreviation pattern
- AbbreviationPatternProvider(EntityPatternProvider) - Constructor for class org.openimaj.text.nlp.patterns.AbbreviationPatternProvider
-
- abort(String, Set<Long>) - Method in class backtype.storm.spout.KestrelThriftClient
-
- abort(String, Set<Long>, AsyncMethodCallback<Kestrel.AsyncClient.abort_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- abort(String, Set<Long>, AsyncMethodCallback<Kestrel.AsyncClient.abort_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- abort(String, Set<Long>) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- abort(String, Set<Long>) - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- abort_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.abort_args
-
- abort_args(String, Set<Long>) - Constructor for class net.lag.kestrel.thrift.Kestrel.abort_args
-
- abort_args(Kestrel.abort_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.abort_args
-
Performs a deep copy on other.
- abort_call(String, Set<Long>, AsyncMethodCallback<Kestrel.AsyncClient.abort_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.abort_call
-
- abort_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.abort_result
-
- abort_result(int) - Constructor for class net.lag.kestrel.thrift.Kestrel.abort_result
-
- abort_result(Kestrel.abort_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.abort_result
-
Performs a deep copy on other.
- about - Variable in class orgrdfs.sioc.ns.ItemImpl
-
Specifies that this Item is about a particular resource, e.g.
- ABOVE - Static variable in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
ABOVE
- abs() - Method in class org.openimaj.image.FImage
-
Set all pixels to their absolute values, so that all pixel values in the
image will be greater than zero.
- abs() - Method in class org.openimaj.image.Image
-
Set all pixels to their absolute values, so that all pixel values in the
image will be greater than zero.
- abs() - Method in class org.openimaj.image.MultiBandImage
-
Set all pixels to their absolute values, so that all pixel values in the
image will be greater than zero.
- abs() - Method in class org.openimaj.image.SVGImage
-
- abs(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Create a new matrix with the absolute values of the input matrix.
- abs(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Return a copy of the input matrix with all elements set to their absolute
value.
- absoluteCardinality - Variable in class org.openimaj.rdf.owl2java.PropertyDef
-
The absolute number of occurrences of this property that must occur
- AbsoluteValueEigenChooser - Class in org.openimaj.ml.clustering.spectral
-
Attempts to automatically choose the number of eigen vectors based on the
comparative value of the eigen value with the first eigen value seen.
- AbsoluteValueEigenChooser(double, double) - Constructor for class org.openimaj.ml.clustering.spectral.AbsoluteValueEigenChooser
-
- absSum(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Compute the absolute sum of values in the matrix
- absSumSparse(SparseColumnMatrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- absSumSparse(SparseRowMatrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- AbstractAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation
-
Abstract base class for objects capable of annotating things.
- AbstractAnnotator() - Constructor for class org.openimaj.ml.annotation.AbstractAnnotator
-
- AbstractClusterQuantiserOptions - Class in org.openimaj.tools.clusterquantiser
-
Options for clustering/quantising tool
- AbstractClusterQuantiserOptions(String[]) - Constructor for class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
Construct with arguments
- AbstractContextAwareInitStrategy<INDEPENDANT,DEPENDANT> - Class in org.openimaj.ml.linear.learner.init
-
Holds on to the learner and the context variables
- AbstractContextAwareInitStrategy() - Constructor for class org.openimaj.ml.linear.learner.init.AbstractContextAwareInitStrategy
-
- AbstractDataSource<DATATYPE> - Class in org.openimaj.data
-
Abstract base class for
DataSource
implementations.
- AbstractDataSource() - Constructor for class org.openimaj.data.AbstractDataSource
-
- AbstractDenseSIFT<IMAGE extends Image<?,IMAGE>> - Class in org.openimaj.image.feature.dense.gradient.dsift
-
Base class for implementations of a dense SIFT feature extractors.
- AbstractDenseSIFT() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
- AbstractDoGSIFTModeOp(LocalFeatureMode) - Constructor for class org.openimaj.tools.localfeature.options.LocalFeatureMode.AbstractDoGSIFTModeOp
-
- AbstractDominantOrientationExtractor - Class in org.openimaj.image.feature.local.detector.dog.extractor
-
Abstract superclass for objects capable of finding the dominant
orientation of a point in scale-space.
- AbstractDominantOrientationExtractor() - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.AbstractDominantOrientationExtractor
-
- AbstractFileBackedList<T extends Readable> - Class in org.openimaj.util.list
-
A (currently) read-only list that iterates over a file.
- AbstractFileBackedList(int, boolean, int, int, File, Class<T>) - Constructor for class org.openimaj.util.list.AbstractFileBackedList
-
- AbstractFileBackedList(int, boolean, int, int, File, Class<T>, String) - Constructor for class org.openimaj.util.list.AbstractFileBackedList
-
- AbstractFMMInpainter<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.processing.restoration.inpainting
-
Abstract base class for inpainting algorithms based on the Fast Marching
Method (FMM) for selecting the order of pixels to paint.
- AbstractFMMInpainter() - Constructor for class org.openimaj.image.processing.restoration.inpainting.AbstractFMMInpainter
-
- AbstractGetter<T> - Class in org.kohsuke.args4j.spi
-
An abstract Getter is of the type of the underlying bean and is not multivalued
- AbstractGetter(String, Object, Field) - Constructor for class org.kohsuke.args4j.spi.AbstractGetter
-
- AbstractImageMaskInpainter<IMAGE extends Image<?,IMAGE>> - Class in org.openimaj.image.processing.restoration.inpainting
-
Abstract base for
Inpainter
implementations that consume a mask image
(rather than connected components or pixel sets).
- AbstractImageMaskInpainter() - Constructor for class org.openimaj.image.processing.restoration.inpainting.AbstractImageMaskInpainter
-
- AbstractIPDSIFTEngine<T extends InterestPointData> - Class in org.openimaj.image.feature.local.engine.ipd
-
Extract SIFT features as defined by David Lowe but located using interest
point detectors.
- AbstractIPDSIFTEngine(MultiscaleInterestPointDetector<T>) - Constructor for class org.openimaj.image.feature.local.engine.ipd.AbstractIPDSIFTEngine
-
Initiate the engine with a given detector.
- AbstractIRCStreamDataset<T> - Class in org.openimaj.stream.provider.irc
-
Abstract base class for producing a stream of items from an IRC channel.
- AbstractIRCStreamDataset(BlockingDroppingQueue<T>, String, String) - Constructor for class org.openimaj.stream.provider.irc.AbstractIRCStreamDataset
-
- AbstractLocalThreshold - Class in org.openimaj.image.processing.threshold
-
Abstract base class for local thresholding operations.
- AbstractLocalThreshold(int) - Constructor for class org.openimaj.image.processing.threshold.AbstractLocalThreshold
-
Construct the AbstractLocalThreshold with the given patch size (the patch
will be square).
- AbstractLocalThreshold(int, int) - Constructor for class org.openimaj.image.processing.threshold.AbstractLocalThreshold
-
Construct the AbstractLocalThreshold with the given patch size.
- AbstractLtpDtFeature - Class in org.openimaj.image.processing.face.feature.ltp
-
Base class for LTP based features using a
truncated Euclidean distance transform
to estimate the distances within each slice.
- AbstractLtpDtFeature(int, int, LTPWeighting, List<List<Pixel>>) - Constructor for class org.openimaj.image.processing.face.feature.ltp.AbstractLtpDtFeature
-
Construct with given parameters.
- AbstractMaskedObject<M extends Image<?,M>> - Class in org.openimaj.image.mask
-
- AbstractMaskedObject() - Constructor for class org.openimaj.image.mask.AbstractMaskedObject
-
Default constructor with a null
mask.
- AbstractMaskedObject(M) - Constructor for class org.openimaj.image.mask.AbstractMaskedObject
-
Construct with the given mask.
- AbstractMultiListDataSource<DATATYPE,ELEMENTTYPE> - Class in org.openimaj.data
-
An abstract
DataSource
backed by multiple lists of data.
- AbstractMultiListDataSource(List<? extends List<ELEMENTTYPE>>) - Constructor for class org.openimaj.data.AbstractMultiListDataSource
-
Construct with the given lists of data
- AbstractMultiListDataSource(List<ELEMENTTYPE>...) - Constructor for class org.openimaj.data.AbstractMultiListDataSource
-
Construct with the given lists of data
- AbstractMultiListDataSource(Map<?, ? extends List<ELEMENTTYPE>>) - Constructor for class org.openimaj.data.AbstractMultiListDataSource
-
Construct with the given map of data.
- AbstractMultiScaleObjectDetector<IMAGE extends Image<?,IMAGE>,DETECTED_OBJECT> - Class in org.openimaj.image.objectdetection
-
- AbstractMultiScaleObjectDetector() - Constructor for class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
Construct with the initial minimum and maximum size set to zero.
- AbstractMultiScaleObjectDetector(int, int) - Constructor for class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
Construct with the given initial minimum and maximum detection sizes.
- AbstractMultivariateDistribution - Class in org.openimaj.math.statistics.distribution
-
A continuous multivariate distribution.
- AbstractMultivariateDistribution() - Constructor for class org.openimaj.math.statistics.distribution.AbstractMultivariateDistribution
-
- AbstractMultivariateGaussian - Class in org.openimaj.math.statistics.distribution
-
- AbstractMultivariateGaussian() - Constructor for class org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian
-
- AbstractNEAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
-
- AbstractNEAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.AbstractNEAnnotator
-
- AbstractOctaveExtremaFinder<OCTAVE extends GaussianOctave<FImage>> - Class in org.openimaj.image.feature.local.detector.pyramid
-
Class for finding extrema within
Octave
s using the approach in
Section 4 of Lowe's IJCV paper (minus the bit on using Brown's interpolation
approach to improve localisation).
- AbstractOctaveExtremaFinder() - Constructor for class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
Construct an AbstractOctaveExtremaFinder with the default Eigenvalue
ratio threshold.
- AbstractOctaveExtremaFinder(float) - Constructor for class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
Construct an AbstractOctaveExtremaFinder with the given Eigenvalue ratio
threshold.
- AbstractOctaveInterestPointFinder<OCTAVE extends Octave<?,?,IMAGE>,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.feature.local.detector.pyramid
-
Abstract base class for objects capable of detecting interest points
within an octave.
- AbstractOctaveInterestPointFinder() - Constructor for class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveInterestPointFinder
-
- AbstractOctaveLocalFeatureCollector<OCTAVE extends Octave<?,?,IMAGE>,EXTRACTOR extends FeatureVectorExtractor<?,ScaleSpaceImageExtractorProperties<IMAGE>>,FEATURE extends LocalFeature<?,?>,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.feature.local.detector.dog.collector
-
Abstract base class for objects that collate
LocalFeature
s as they
are extracted from
Octave
s.
- AbstractOctaveLocalFeatureCollector(EXTRACTOR) - Constructor for class org.openimaj.image.feature.local.detector.dog.collector.AbstractOctaveLocalFeatureCollector
-
Construct the AbstractOctaveLocalFeatureCollector with the given feature
extractor.
- AbstractPhraseAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
-
- AbstractPhraseAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.AbstractPhraseAnnotator
-
- AbstractPixelStatisticsModel - Class in org.openimaj.image.pixel.statistics
-
Abstract base class for models based on pixel statistics of an image.
- AbstractPixelStatisticsModel(int) - Constructor for class org.openimaj.image.pixel.statistics.AbstractPixelStatisticsModel
-
Construct the model with the given number of dimensions
- AbstractPoint2d - Class in org.openimaj.math.geometry.point
-
Abstract base for
Point2d
implementations that retains the underlying
precision.
- AbstractPoint2d() - Constructor for class org.openimaj.math.geometry.point.AbstractPoint2d
-
- AbstractPOSAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
-
- AbstractPOSAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.AbstractPOSAnnotator
-
- AbstractRawTextAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
-
- AbstractRawTextAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.AbstractRawTextAnnotator
-
- AbstractRenderer<T> - Class in org.openimaj.image.processor.connectedcomponent.render
-
An abstract class that defines top-level methods for objects that can
render connected components into images.
- AbstractRenderer(Image<T, ?>, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.AbstractRenderer
-
Default constructor that takes the image to write to and the
colour to draw in.
- AbstractRenderer(int, int, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.AbstractRenderer
-
Constructor that creates a new image into which to render the
connected components and a colour to draw in.
- AbstractResidualCalculator<I,D,M extends Model<I,D>> - Class in org.openimaj.math.model.fit.residuals
-
- AbstractResidualCalculator() - Constructor for class org.openimaj.math.model.fit.residuals.AbstractResidualCalculator
-
- AbstractSentenceAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
-
- AbstractSentenceAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.AbstractSentenceAnnotator
-
- AbstractStream<T> - Class in org.openimaj.util.stream
-
Abstract base implementation of a read-only (i.e.
- AbstractStream() - Constructor for class org.openimaj.util.stream.AbstractStream
-
- AbstractStreamBackedList<T extends Readable> - Class in org.openimaj.util.list
-
A list of records that can be consumed from a stream.
- AbstractStreamBackedList(InputStream, int, boolean, int, int, Class<T>) - Constructor for class org.openimaj.util.list.AbstractStreamBackedList
-
Instantiate the list and all instance variables.
- AbstractStreamBackedList(InputStream, int, boolean, int, int, Class<T>, String) - Constructor for class org.openimaj.util.list.AbstractStreamBackedList
-
Instantiate the list and all instance variables.
- AbstractStructureTensorIPD - Class in org.openimaj.image.feature.local.interest
-
Abstract base class for an interest point detector which uses derivatives or
the (multiscale) structure tensor.
- AbstractStructureTensorIPD(float) - Constructor for class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
Set the scale factor between the integration scale and the detection
scale.
- AbstractStructureTensorIPD(float, float) - Constructor for class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
Abstract structure tensor detected at a given scale, the first
derivatives found and a structure tensor combined from these first
derivatives with a gaussian window of sigma = integrationScale
- AbstractStructureTensorIPD(float, float, boolean) - Constructor for class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
Abstract structure tensor detected at a given scale, the first
derivatives found and a structure tensor combined from these first
derivatives with a gaussian window of sigma = integrationScale.
- AbstractStructureTensorIPD(float, float, int) - Constructor for class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
Abstract structure tensor detected at a given scale, the first
derivatives found and a structure tensor combined from these first
derivatives with a gaussian window of sigma = integrationScale.
- AbstractStructureTensorIPD(float, float, int, boolean) - Constructor for class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
Abstract structure tensor detected at a given scale, the first
derivatives found and a structure tensor combined from these first
derivatives with a gaussian window of sigma = integrationScale.
- AbstractStructureTensorIPD.Maxima - Class in org.openimaj.image.feature.local.interest
-
- AbstractTextPipeAnnotator<INPUT_ANNOTATION extends TextPipeAnnotation> - Class in org.openimaj.text.nlp.textpipe.annotators
-
- AbstractTextPipeAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.AbstractTextPipeAnnotator
-
- AbstractTokenAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
-
- AbstractTokenAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.AbstractTokenAnnotator
-
- AbstractTwitterPreprocessingToolOptions - Class in org.openimaj.tools.twitter.options
-
An abstract kind of twitter processing tool.
- AbstractTwitterPreprocessingToolOptions(String[], boolean) - Constructor for class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- AbstractTwitterPreprocessingToolOptions(String[]) - Constructor for class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- AbstractTwitterSearchDataset<T> - Class in org.openimaj.stream.provider.twitter
-
Calls the
SearchResource.search(Query)
function periodically and offers all
discovered
Status
instances with the underlying
BlockingDroppingBufferedStream
.
- AbstractTwitterSearchDataset(TwitterAPIToken, BlockingDroppingQueue<T>, Query) - Constructor for class org.openimaj.stream.provider.twitter.AbstractTwitterSearchDataset
-
- AbstractTwitterStatusesFilterDataset<T> - Class in org.openimaj.stream.provider.twitter
-
Base class for Live twitter streams based on the live Twitter streaming API.
- AbstractTwitterStatusesFilterDataset(FilterQuery, TwitterAPIToken, BlockingDroppingQueue<T>) - Constructor for class org.openimaj.stream.provider.twitter.AbstractTwitterStatusesFilterDataset
-
Construct with the given Twitter API credentials and buffer
- AbstractTwitterStreamDataset<T> - Class in org.openimaj.stream.provider.twitter
-
Base class for Live twitter streams based on the live Twitter streaming API.
- AbstractTwitterStreamDataset(TwitterAPIToken, BlockingDroppingQueue<T>) - Constructor for class org.openimaj.stream.provider.twitter.AbstractTwitterStreamDataset
-
Construct with the given Twitter API credentials and buffer
- AbstractValueAnimator<T> - Class in org.openimaj.content.animation.animator
-
Base class for objects capable of "animating" a value;
that is providing a new value everytime
AbstractValueAnimator.nextValue()
is
called, subject to some constraints.
- AbstractValueAnimator(T, int, int) - Constructor for class org.openimaj.content.animation.animator.AbstractValueAnimator
-
Construct with initial value
- AbstractWebpageImageCollection - Class in org.openimaj.tools.imagecollection.collection.webpage
-
- AbstractWebpageImageCollection() - Constructor for class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection
-
- AbstractWebpageImageCollection.Generic - Class in org.openimaj.tools.imagecollection.collection.webpage
-
- Accel - Class in org.openimaj.workinprogress.accel
-
- Accel() - Constructor for class org.openimaj.workinprogress.accel.Accel
-
- accelerometer_x() - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- accelerometer_x(short) - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- accelerometer_y() - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- accelerometer_y(short) - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- accelerometer_z() - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- accelerometer_z(short) - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- accept(Location) - Method in interface org.openimaj.feature.local.LocationFilter
-
Test whether a
Location
should be accepted
or rejected.
- accept(Path) - Method in class org.openimaj.hadoop.tools.sequencefile.RegexPathFilter
-
- accept(Image<T, ?>, Pixel, T, float) - Static method in class org.openimaj.image.analysis.algorithm.FloodFill
-
- accepted - Variable in class org.openimaj.tools.imagecollection.collection.ImageCollectionEntry
-
- acceptEntry(T) - Method in interface org.openimaj.tools.imagecollection.collection.ImageCollectionEntrySelection
-
- acceptEntry(T) - Method in class org.openimaj.tools.imagecollection.collection.ImageCollectionEntrySelection.All
-
- acceptEntry(MBFImage) - Method in class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection
-
- acceptEntry(MBFImage) - Method in class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection.FramesPerSecond
-
- acceptEntry(MBFImage) - Method in class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection.Proxy
-
- AcceptingListView<T> - Class in org.openimaj.util.list
-
A read-only view on a list with a set of indices from the
underlying list that must be accepted; all other
indices are discarded.
- AcceptingListView(List<T>, int...) - Constructor for class org.openimaj.util.list.AcceptingListView
-
Construct with the underlying list and a set of
indices for the view.
- accessSecret - Variable in class org.openimaj.util.api.auth.common.TwitterAPIToken
-
The access secret
- accessToken - Variable in class org.openimaj.util.api.auth.common.TwitterAPIToken
-
The access token
- account_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
Refers to the foaf:Agent or foaf:Person who owns this sioc:UserAccount.
- accountKey - Variable in class org.openimaj.util.api.auth.common.BingAPIToken
-
The account key
- accum(MBFImage, int, int) - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
-
- accum(MBFImage) - Method in class org.openimaj.image.pixel.statistics.HistogramModel
-
- accum(MBFImage, int, int) - Method in class org.openimaj.image.pixel.statistics.MaskingBlockHistogramModel
-
- accum(MBFImage) - Method in class org.openimaj.image.pixel.statistics.MaskingHistogramModel
-
- accumulate(String, NanoTimer) - Static method in class org.openimaj.experiment.agent.TimeTracker
-
Accumulate the given duration into the statistics with the given identifier
- accumulate(String, Timer) - Static method in class org.openimaj.experiment.agent.TimeTracker
-
Accumulate the given duration into the statistics with the given identifier
- accumulate(String, long) - Static method in class org.openimaj.experiment.agent.TimeTracker
-
Accumulate the given duration into the statistics with the given identifier
- accumulate(IntValuePixel) - Method in class org.openimaj.image.analysis.watershed.Component
-
Add a pixel to the component
- accumulate(INPUT) - Method in interface org.openimaj.image.combiner.AccumulatingImageCombiner
-
Perform processing that combines the two images into
a single image.
- accumulate(T) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Prepare an image to be transformed using the current matrix.
- accumulateWith(AccumulatingImageCombiner<I, ?>) - Method in class org.openimaj.image.Image
-
- AccumulatingImageCombiner<INPUT extends Image<?,INPUT>,OUTPUT extends Image<?,OUTPUT>> - Interface in org.openimaj.image.combiner
-
Interface for classes capable of combining multiple images into
one.
- AccuracyCheckDoubleDCT - Class in edu.emory.mathcs.jtransforms.dct
-
Accuracy check of double precision DCT's
- AccuracyCheckDoubleDHT - Class in edu.emory.mathcs.jtransforms.dht
-
Accuracy check of double precision DHT's
- AccuracyCheckDoubleDST - Class in edu.emory.mathcs.jtransforms.dst
-
Accuracy check of double precision DST's
- AccuracyCheckDoubleFFT - Class in edu.emory.mathcs.jtransforms.fft
-
Accuracy check of double precision FFT's
- AccuracyCheckFloatDCT - Class in edu.emory.mathcs.jtransforms.dct
-
Accuracy check of single precision DCT's
- AccuracyCheckFloatDHT - Class in edu.emory.mathcs.jtransforms.dht
-
Accuracy check of single precision DHT's
- AccuracyCheckFloatDST - Class in edu.emory.mathcs.jtransforms.dst
-
Accuracy check of single precision DST's
- AccuracyCheckFloatFFT - Class in edu.emory.mathcs.jtransforms.fft
-
Accuracy check of single precision FFT's
- AchantaSaliency - Class in org.openimaj.image.saliency
-
Implementation of the saliency map algorithm described in:
R.
- AchantaSaliency(float) - Constructor for class org.openimaj.image.saliency.AchantaSaliency
-
Construct with the given amount of smoothing.
- AchantaSaliency() - Constructor for class org.openimaj.image.saliency.AchantaSaliency
-
Construct with a smoothing of 1 pixel standard deviation.
- ack(Object) - Method in class backtype.storm.spout.KestrelThriftSpout
-
- ack(Object) - Method in class backtype.storm.spout.UnreliableKestrelThriftSpout
-
- ack(Object) - Method in class org.openimaj.picslurper.LocalTweetSpout
-
- AckStats - Class in backtype.storm.spout
-
- AckStats(float) - Constructor for class backtype.storm.spout.AckStats
-
- action - Variable in class org.openimaj.time.Sequencer.SequencerEvent
-
The sequenced action
- activate() - Method in class org.openimaj.picslurper.LocalTweetSpout
-
- ACTIVE_CONTROLLERS - Static variable in class org.openimaj.hardware.kinect.KinectController
-
- ActiveShapeModel<I extends Image<?,I>> - Class in org.openimaj.image.model.asm
-
Implementation of a basic Active Shape Model.
- ActiveShapeModel(PointDistributionModel, LandmarkModel<I>[]) - Constructor for class org.openimaj.image.model.asm.ActiveShapeModel
-
- ActiveShapeModel.IterationResult - Class in org.openimaj.image.model.asm
-
Class to hold the response of a single iteration of model fitting.
- actual - Variable in class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
- AdaBoost - Class in org.openimaj.ml.classification.boosting
-
- AdaBoost() - Constructor for class org.openimaj.ml.classification.boosting.AdaBoost
-
- AdaptiveLocalThresholdBernsen - Class in org.openimaj.image.processing.threshold
-
Bernsen's adaptive local thresholding.
- AdaptiveLocalThresholdBernsen(float, int) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdBernsen
-
Construct the thresholding operator with the given patch size (assumed
square)
- AdaptiveLocalThresholdBernsen(float, int, int) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdBernsen
-
Construct the thresholding operator with the given patch size
- AdaptiveLocalThresholdContrast - Class in org.openimaj.image.processing.threshold
-
Adaptive local thresholding using the local contrast.
- AdaptiveLocalThresholdContrast(int) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdContrast
-
Construct the thresholding operator with the given patch size (assumed
square)
- AdaptiveLocalThresholdContrast(int, int) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdContrast
-
Construct the thresholding operator with the given patch size
- AdaptiveLocalThresholdGaussian - Class in org.openimaj.image.processing.threshold
-
Adaptive local thresholding using the Gaussian weighted sum of the patch and
an offset.
- AdaptiveLocalThresholdGaussian(float, float) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdGaussian
-
Construct the thresholding operator with the given Gaussian standard
deviation, sigma, and offset
- AdaptiveLocalThresholdMean - Class in org.openimaj.image.processing.threshold
-
Adaptive local thresholding using the mean of the patch and an offset.
- AdaptiveLocalThresholdMean(int) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMean
-
Construct the thresholding operator with the given patch size (assumed
square)
- AdaptiveLocalThresholdMean(int, int) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMean
-
Construct the thresholding operator with the given patch size
- AdaptiveLocalThresholdMean(int, float) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMean
-
Construct the thresholding operator with the given patch size (assumed
square) and offset
- AdaptiveLocalThresholdMean(int, int, float) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMean
-
Construct the thresholding operator with the given patch size and offset
- AdaptiveLocalThresholdMedian - Class in org.openimaj.image.processing.threshold
-
Adaptive local thresholding using the median of the patch and an offset.
- AdaptiveLocalThresholdMedian(int) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMedian
-
Construct the thresholding operator with the given patch size (assumed
square)
- AdaptiveLocalThresholdMedian(int, int) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMedian
-
Construct the thresholding operator with the given patch size
- AdaptiveLocalThresholdMedian(int, float) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMedian
-
Construct the thresholding operator with the given patch size (assumed
square) and offset
- AdaptiveLocalThresholdMedian(int, int, float) - Constructor for class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMedian
-
Construct the thresholding operator with the given patch size and offset
- AdaptiveMoGBackgroundEstimator<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.workinprogress
-
- AdaptiveMoGBackgroundEstimator(Video<IMAGE>) - Constructor for class org.openimaj.workinprogress.AdaptiveMoGBackgroundEstimator
-
- add(int, int, double) - Method in class ch.akuhn.matrix.DenseMatrix
-
- add(int, int, double) - Method in class ch.akuhn.matrix.Matrix
-
Add to the value at the given row/column
- add(int, int, double) - Method in class ch.akuhn.matrix.SparseMatrix
-
- add(int, double) - Method in class ch.akuhn.matrix.SparseVector
-
- add(int, double) - Method in class ch.akuhn.matrix.Vector
-
Add the given value to the value at the given index
- add(double) - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Add the scalar to all the samples
- add(Collection<KEY>, OBJECT) - Method in interface org.openimaj.data.dataset.cache.GroupedListCache
-
Add an object with many keys to the cache
- add(KEY, OBJECT) - Method in interface org.openimaj.data.dataset.cache.GroupedListCache
-
Add an object with a key to the cache
- add(KEY, Collection<OBJECT>) - Method in interface org.openimaj.data.dataset.cache.GroupedListCache
-
Add an collection of objects with the same key to the cache
- add(Collection<KEY>, OBJECT) - Method in class org.openimaj.data.dataset.cache.InMemoryGroupedListCache
-
- add(KEY, OBJECT) - Method in class org.openimaj.data.dataset.cache.InMemoryGroupedListCache
-
- add(KEY, Collection<OBJECT>) - Method in class org.openimaj.data.dataset.cache.InMemoryGroupedListCache
-
- add(T) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- add(int, T) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- add(KEY, DATASET) - Method in class org.openimaj.data.dataset.MapBackedDataset
-
Convenience method for populating a dataset by chaining method calls:
- add(DATASET) - Method in class org.openimaj.data.dataset.MapBackedDataset.IdentifiableBuilder
-
- add(CMResult<CLASS>) - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAggregator
-
- add(List<TargetEstimatePair<CLASS, CLASS>>, Set<CLASS>, Set<CLASS>) - Method in enum org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAnalyser.Strategy
-
- add(RESULT) - Method in interface org.openimaj.experiment.evaluation.ResultAggregator
-
Add a new result to this aggregation
- add(TokenPairCount) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- add(FImage) - Method in class org.openimaj.image.FImage
-
Adds the pixel values of the given
FImage
to the pixels of this
image.
- add(Float) - Method in class org.openimaj.image.FImage
-
Returns a new
FImage
that contains the pixels of this image
increased by the given value.
- add(Image<?, ?>) - Method in class org.openimaj.image.FImage
-
Adds the given image to this image and return new image.
- add(Image<?, ?>) - Method in class org.openimaj.image.Image
-
Adds the given image to this image and return new image.
- add(Q) - Method in class org.openimaj.image.Image
-
Add a value to each pixel and return new image.
- add(T) - Method in class org.openimaj.image.MultiBandImage
-
Add the given scalar to each pixel of each band and return result as a
new image.
- add(CLQueue, CLImage2D, CLImage2D, CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Add two images, storing the result in another image
- add(CLQueue, CLImage2D, float[], CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Add a constant to an image, storing the result in another image
- add(CLImage2D, CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Add two images, returning a new image with the result
- add(CLImage2D, float[]) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Add a constant to an image, returning a new image with the result
- add(I, I) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Add two images, returning a new image with the result
- add(I, float[]) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Add a constant to an image, returning a new image with the result
- add(String, File) - Method in class org.openimaj.image.processing.face.recognition.benchmarking.dataset.TextFileDataset
-
Add an instance to the dataset.
- add(DATA) - Method in interface org.openimaj.knn.IncrementalNearestNeighbours
-
Add a single data item
- add(OBJECT) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- add(T) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- add(byte[]) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- add(double[]) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- add(float[]) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- add(int[]) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- add(long[]) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- add(short[]) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- add(int, int, double) - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
- add(long, DATA) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
Add an element to this time series
- add(String) - Method in class org.openimaj.picslurper.StatusConsumer
-
Add a URL to process without allowing already seen URLs to be added
- add(DiscreteCountBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- add(Integer) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- add(WeightedBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- add(Double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- add(String) - Method in class org.openimaj.tools.twitter.modes.filter.JavaRegexEngine
-
- add(String) - Method in interface org.openimaj.tools.twitter.modes.filter.RegexEngine
-
- add(double[], double) - Static method in class org.openimaj.util.array.ArrayUtils
-
Add a constant to all elements and return the input
- add(float[], float) - Static method in class org.openimaj.util.array.ArrayUtils
-
Add a constant to all elements and return the input
- add(int[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Add a constant to all elements and return the input
- add(long[], long) - Static method in class org.openimaj.util.array.ArrayUtils
-
Add a constant to all elements and return the input
- add(byte[], byte) - Static method in class org.openimaj.util.array.ArrayUtils
-
Add a constant to all elements and return the input
- add(short[], short) - Static method in class org.openimaj.util.array.ArrayUtils
-
Add a constant to all elements and return the input
- add(SparseByteArray) - Method in class org.openimaj.util.array.SparseByteArray
-
Add the values in the given vector to a copy of
this array and return the result
- add(SparseDoubleArray) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Add the values in the given vector to a copy of
this array and return the result
- add(SparseFloatArray) - Method in class org.openimaj.util.array.SparseFloatArray
-
Add the values in the given vector to a copy of
this array and return the result
- add(SparseIntArray) - Method in class org.openimaj.util.array.SparseIntArray
-
Add the values in the given vector to a copy of
this array and return the result
- add(SparseLongArray) - Method in class org.openimaj.util.array.SparseLongArray
-
Add the values in the given vector to a copy of
this array and return the result
- add(SparseShortArray) - Method in class org.openimaj.util.array.SparseShortArray
-
Add the values in the given vector to a copy of
this array and return the result
- add(E) - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Inserts the specified element at the tail of this queue if it is possible
to do so immediately without exceeding the queue's capacity, returning
true upon success and throwing an IllegalStateException
if this queue is full.
- add(E) - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Inserts the specified element into this queue if it is possible to do so
immediately without violating capacity restrictions, returning
true upon success and throwing an IllegalStateException
if no space is currently available.
- add(Predicate<T>) - Method in class org.openimaj.util.function.predicates.And
-
Add a new predicate to this "and"
- add(Predicate<T>) - Method in class org.openimaj.util.function.predicates.Or
-
Add a new predicate to this "or"
- add(int, T) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- add(OBJECT) - Method in interface org.openimaj.util.math.ObjectArithmetic
-
Add to a copy of this.
- add(SCALAR) - Method in interface org.openimaj.util.math.ScalarArithmetic
-
Add to a copy of this.
- add(T) - Method in class org.openimaj.util.set.BoundedTreeSet
-
- add(T) - Method in class org.openimaj.util.set.DisjointSetForest
-
- add(T, T) - Method in class org.openimaj.util.set.DisjointSetForest
-
Add an element to the given set.
- add_left(double, double) - Method in class org.openimaj.math.geometry.shape.util.polygon.PolygonNode
-
- add_local_min(double, double) - Method in class org.openimaj.math.geometry.shape.util.polygon.TopPolygonNode
-
- add_right(double, double) - Method in class org.openimaj.math.geometry.shape.util.polygon.PolygonNode
-
- add_to_ids(long) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- add_to_ids(long) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- add_to_items(ByteBuffer) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- add_to_success(Item) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- addAlias(String) - Method in class org.openimaj.text.nlp.namedentity.YagoNamedEntity
-
- addAll(Collection<? extends T>) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- addAll(int, Collection<? extends T>) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- addAll(List<DATA>) - Method in interface org.openimaj.knn.IncrementalNearestNeighbours
-
Insert all the given data
- addAll(Collection<OBJECT>) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Insert data into the tables
- addAll(OBJECT[]) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Insert data into the tables
- addAll(List<OBJECT>) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- addAll(List<T>) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- addAll(List<byte[]>) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- addAll(List<double[]>) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- addAll(List<float[]>) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- addAll(List<int[]>) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- addAll(List<long[]>) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- addAll(List<short[]>) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- addAll(Collection<? extends T>) - Method in class org.openimaj.util.set.BoundedTreeSet
-
- addAll(Collection<? extends T>) - Method in class org.openimaj.util.set.DisjointSetForest
-
Add all the elements in the collection to this disjoint set forest.
- addAll(Collection<? extends T>, boolean) - Method in class org.openimaj.util.set.DisjointSetForest
-
Add all the elements in the collection to this disjoint set forest.
- addAllAnnotations(Collection<T>) - Method in class org.openimaj.text.nlp.textpipe.annotations.TextPipeAnnotation
-
- addAllTokensMatched(Collection<TokenAnnotation>) - Method in class org.openimaj.text.nlp.textpipe.annotations.NamedEntityAnnotation
-
- addAnalysis(String, T) - Method in class org.openimaj.twitter.GeneralJSON
-
Add analysis to the analysis object.
- addAnalysis(Model, Resource, GeneralJSON) - Method in interface org.openimaj.twitter.RDFAnalysisProvider
-
When given this analysis, fill the model with triples representing its
existence.
- addAnimatedVisualisationListener(AnimatedVisualisationListener) - Method in interface org.openimaj.vis.AnimatedVisualisationProvider
-
Add a visualisation listener to be informed of animation events.
- addAnimatedVisualisationListener(AnimatedVisualisationListener) - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Add a visualisation listener to be informed of animation events.
- addAnimatedVisualisationListener(AnimatedVisualisationListener) - Method in class org.openimaj.vis.Visualisation3D
-
- addAnimatedVisualisationListener(AnimatedVisualisationListener) - Method in class org.openimaj.vis.world.WorldMap
-
Add a visualisation listener to be informed of animation events.
- addAnnotation(T) - Method in class org.openimaj.text.nlp.textpipe.annotations.TextPipeAnnotation
-
- addAudioEventListener(AudioEventListener) - Method in class org.openimaj.audio.AudioPlayer
-
Add the given audio event listener to this player.
- addAudioGrabberListener(AudioGrabberListener) - Method in class org.openimaj.audio.AudioGrabber
-
Add an audio grabber listener to this audio grabber.
- addBand(S) - Method in class org.openimaj.image.MultiBandImage
-
Adds a new band image to the multiband image.
- addChild(TreeNode<T>) - Method in interface org.openimaj.util.tree.TreeNode
-
Add a child node.
- addChild(TreeNode<T>) - Method in class org.openimaj.util.tree.TreeNodeImpl
-
- addColumn() - Method in class ch.akuhn.matrix.SparseMatrix
-
Add a new column to the end, increasing the number of columns by 1
- addComponentStackMergeListener(ComponentStackMergeListener) - Method in class org.openimaj.image.analysis.watershed.WatershedProcessor
-
Add a component stack merge listener
- addComponentStackMergeListener(ComponentStackMergeListener) - Method in class org.openimaj.image.analysis.watershed.WatershedProcessorAlgorithm
-
Add a component stack merge listener
- addConnection(int, int) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Add a connection between points with the given indices.
- addConnection(PointList, Point2d, Point2d) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Add a connection between two points in the given
PointList
.
- addConnection(PointList, Line2d) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Add a connection between the two end points of the given line in the
given
PointList
.
- addContext(String) - Method in class org.openimaj.text.nlp.namedentity.YagoNamedEntity
-
- addDemo(Demos.DemoObject) - Method in class org.openimaj.demos.Demos.DemoRunnerPanel
-
Add a demo to the list
- addDocument(Document) - Method in class org.openimaj.pgm.util.Corpus
-
- addDocument(Document) - Method in class org.openimaj.text.nlp.namedentity.QuickIndexer
-
- addDocumentFromFields(String[], String[], FieldType[]) - Method in class org.openimaj.text.nlp.namedentity.QuickIndexer
-
construct a document from names, values and types
- addEvent(Sequencer.SequencerEvent) - Method in class org.openimaj.time.Sequencer
-
Add an event to the sequencer.
- addFeature(float, float, float) - Method in class org.openimaj.image.feature.local.detector.dog.collector.ConcreteOctaveLocalFeatureCollector
-
- addFeature(float, float, float) - Method in class org.openimaj.image.feature.local.detector.dog.collector.OctaveKeypointCollector
-
- addFeature(float, float, float, boolean) - Method in class org.openimaj.image.feature.local.detector.dog.collector.OctaveMinMaxKeypointCollector
-
- addFontToAvoid(String) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Avoid the font with the given name.
- addFrame(I) - Method in class org.openimaj.video.VideoCache
-
Add a frame to the video stream.
- addFrame(T) - Method in class org.openimaj.video.VideoWriter
-
Add a frame to the video stream.
- addFrame(MBFImage) - Method in class org.openimaj.video.xuggle.XuggleVideoWriter
-
Add a frame to the video stream.
- addFrequencyListener(FrequencyAudioSource.Listener) - Method in class org.openimaj.audio.FrequencyAudioSource
-
Add a listener
- addFrequencyListener(FrequencyAudioSource.Listener, Pair<Integer>) - Method in class org.openimaj.audio.FrequencyAudioSource
-
Add a listener
- addGaussianNoise(List<Keypoint>, double, double) - Static method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
Add Gaussian noise the feature vectors of some features.
- addHighlightCountry(String) - Method in class org.openimaj.vis.world.WorldMap
-
Add a country to highlight
- addHighlightCountry(String, Float[]) - Method in class org.openimaj.vis.world.WorldMap
-
Add a country to highlight
- addImageComponentListener(DisplayUtilities.ImageComponent.ImageComponentListener) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Add the given listener to this image component.
- addInnerPolygon(Polygon, boolean) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Add an inner polygon to this polygon.
- addInnerPolygon(Polygon) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Add an inner polygon to this polygon.
- addInplace(FImage) - Method in class org.openimaj.image.FImage
-
Adds the given image pixel values to the pixel values of this image.
- addInplace(Float) - Method in class org.openimaj.image.FImage
-
Add a scalar to each pixel in this image (side-affects this image).
- addInplace(Image<?, ?>) - Method in class org.openimaj.image.FImage
-
Add the given image to this image (side-affects this image).
- addInplace(Image<?, ?>) - Method in class org.openimaj.image.Image
-
Add the given image to this image (side-affects this image).
- addInplace(Q) - Method in class org.openimaj.image.Image
-
Add a scalar to each pixel in this image (side-affects this image).
- addInplace(Image<?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Add the given image to this image (side-affects this image).
- addInplace(MultiBandImage<?, ?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Adds to each pixel the value of the corresponding pixel in the
corresponding band in the given image.
- addInplace(SingleBandImage<?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Adds to each pixel (in all bandS) the value of corresponding pixel in the
given image.
- addInplace(T) - Method in class org.openimaj.image.MultiBandImage
-
Add the given value to each pixel in every band.
- addInplace(T[]) - Method in class org.openimaj.image.MultiBandImage
-
Add a scalar to each pixel in this image (side-affects this image).
- addInplace(Image<?, ?>) - Method in class org.openimaj.image.SVGImage
-
- addInplace(Float[]) - Method in class org.openimaj.image.SVGImage
-
- addInplace(DiscreteCountBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- addInplace(Integer) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- addInplace(WeightedBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- addInplace(Double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- addInplace(SparseByteArray) - Method in class org.openimaj.util.array.SparseByteArray
-
Add the values in the given vector to
this vector and return this
- addInplace(SparseDoubleArray) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Add the values in the given vector to
this vector and return this
- addInplace(SparseFloatArray) - Method in class org.openimaj.util.array.SparseFloatArray
-
Add the values in the given vector to
this vector and return this
- addInplace(SparseIntArray) - Method in class org.openimaj.util.array.SparseIntArray
-
Add the values in the given vector to
this vector and return this
- addInplace(SparseLongArray) - Method in class org.openimaj.util.array.SparseLongArray
-
Add the values in the given vector to
this vector and return this
- addInplace(SparseShortArray) - Method in class org.openimaj.util.array.SparseShortArray
-
Add the values in the given vector to
this vector and return this
- addInplace(OBJECT) - Method in interface org.openimaj.util.math.ObjectArithmetic
-
Add to this.
- addInplace(SCALAR) - Method in interface org.openimaj.util.math.ScalarArithmetic
-
Add to this.
- addInplace(KeyedParameters<KEY>) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- addInplace(KEY, double) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- addInplace(double) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- addInplace(PTYPE) - Method in interface org.openimaj.workinprogress.optimisation.params.Parameters
-
- addInplace(double) - Method in interface org.openimaj.workinprogress.optimisation.params.Parameters
-
- addInplace(VectorParameters) - Method in class org.openimaj.workinprogress.optimisation.params.VectorParameters
-
- addInplace(double) - Method in class org.openimaj.workinprogress.optimisation.params.VectorParameters
-
- addIteration(String, Iterable<T>) - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearLearnerParametersLineSearch
-
- addIterationListener(Operation<SphericalKMeans.IterationResult>) - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
Add a listener that will be called before every iteration.
- addListener(ImageCollectionProcessorJob.ProcessorJobListener) - Method in class org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob
-
- addListener(AudioSpectrogram.SpectrogramCompleteListener) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Add the given listener
- addMarker(long, String) - Method in class org.openimaj.vis.timeline.Timeline
-
Add a new marker with a label.
- addMarker(long) - Method in class org.openimaj.vis.timeline.Timeline
-
Add a new marker
- addMissing(Map<String, SummaryStatistics>) - Static method in class org.openimaj.experiment.agent.TimeTracker
-
Add any times from the given map that are not present in the
internal map to the internal map.
- addMixEventListener(AudioMixer.MixEventListener) - Method in class org.openimaj.audio.AudioMixer
-
Add a mix event listener to this AudioMixer.
- addNode(double, double) - Method in class org.openimaj.math.geometry.shape.util.polygon.EdgeTable
-
- addObject(int, double, O) - Method in class org.openimaj.vis.general.DiversityAxis
-
Add an object to the axis at the given position in the given band.
- addOverlay(VisualisationImpl<?>) - Method in class org.openimaj.vis.VisualisationImpl
-
Add an overlay to this visualisation
- addPixel(int, int) - Method in class org.openimaj.image.pixel.PixelSet
-
Add a pixel into this connected component.
- addPixel(Pixel) - Method in class org.openimaj.image.pixel.PixelSet
-
Add a pixel into this connected component.
- addPoint(double, double, double) - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
Adds a default coloured dot with the given size (in red).
- addPoint(double, double, double, double) - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- addPoint(double, double, O) - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
Add an object to the plot
- addRectangle(Rectangle3D) - Method in class org.openimaj.vis.general.Rectangle3DPlotter
-
Note that your rectangle may be altered at this point.
- addReference(Reference) - Static method in class org.openimaj.citation.ReferenceListener
-
- addReference(Class<?>) - Static method in class org.openimaj.citation.ReferenceListener
-
- addReference(Class<?>, String, String) - Static method in class org.openimaj.citation.ReferenceListener
-
- addReferences(Collection<Reference>) - Static method in class org.openimaj.citation.ReferenceListener
-
- addressed_to - Variable in class orgrdfs.sioc.ns.ItemImpl
-
Refers to who (e.g.
- addRow() - Method in class ch.akuhn.matrix.SparseMatrix
-
Add a new row to the end, increasing the number of rows by 1
- addRow(double[]) - Method in class ch.akuhn.matrix.SparseMatrix
-
- addSample(IntValuePixel) - Method in interface org.openimaj.image.analysis.watershed.feature.ComponentFeature
-
Add a pixel to this feature
- addSample(IntValuePixel) - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
- addSample(IntValuePixel) - Method in class org.openimaj.image.analysis.watershed.feature.PixelsFeature
-
- addSample(float, float, float, float) - Method in interface org.openimaj.image.feature.local.descriptor.gradient.GradientFeatureProvider
-
Add a sample to the feature.
- addSample(float, float, float, float) - Method in class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
- addSample(float, float, float, float) - Method in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- addSerialDataListener(SerialDataListener) - Method in class org.openimaj.hardware.serial.SerialDevice
-
- addSerialDataListener(SerialDataListener) - Method in class org.openimaj.hardware.serial.SerialReader
-
Add a serial data listener that will be informed of individual tokens
that are parsed from the parser.
- addShotDetectedListener(ShotDetectedListener<I>) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Add the given shot detected listener to the list of listeners in this
object
- addStream(AudioStream, float) - Method in class org.openimaj.audio.AudioMixer
-
- addSynthesizerListener(SynthesizerListener) - Method in class org.openimaj.audio.generation.Synthesizer
-
Add a synth listener to this synth.
- addTimelineObject(Timeline.TimelineTrack, TimelineObject) - Method in class org.openimaj.vis.timeline.Timeline
-
Add an object to a track.
- addTimeSeries(String, INTERNALSERIES) - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- addTimeSeries(String, INTERNALSERIES) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- addTitle - Variable in class org.openimaj.web.readability.Readability
-
- addToRow(int, Vector) - Method in class ch.akuhn.matrix.SparseMatrix
-
Add the given values to the given row
- addTrack() - Method in class org.openimaj.vis.timeline.Timeline
-
Add a new track to the timeline.
- addTrack(String) - Method in class org.openimaj.vis.timeline.Timeline
-
Add a track with the given label.
- addTrack(Timeline.TimelineTrack) - Method in class org.openimaj.vis.timeline.Timeline
-
Add a new track to the timeline.
- addTrackMarker(long) - Method in class org.openimaj.vis.timeline.Timeline.TimelineTrack
-
Add a track marker to this time.
- addTriple(Statement) - Method in class org.openimaj.rdf.serialize.RDFSerializer
-
Adds a single triple to some RDF serializer.
- addTriple(Statement) - Method in class org.openimaj.rdf.serialize.SysOutRDFSerializer
-
- addU(int) - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
Expand the U parameters matrix by added a set of rows.
- addU(int) - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
Expand the U parameters matrix by added a set of rows.
- addUnvalidatedRelation(URI, Object) - Method in class org.openimaj.rdf.owl2java.Something
-
Add an unvalidated relation to this subgraph.
- addUnvalidatedTuple(URI, Value) - Method in class org.openimaj.rdf.owl2java.Something
-
Add an unvalidated tuple to this subgraph.
- addVertex(float, float) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Add a vertex to the polygon
- addVertex(Point2d) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Add a vertex to the polygon
- addVideoDisplayStateListener(VideoDisplayStateListener) - Method in class org.openimaj.video.VideoDisplay
-
Add a listener for the state of this player.
- addVideoListener(VideoDisplayListener<T>) - Method in class org.openimaj.video.VideoDisplay
-
Add a listener that will get fired as every frame is displayed.
- addVideoPositionListener(VideoPositionListener) - Method in class org.openimaj.video.VideoDisplay
-
Add a video position listener to this display
- addVideoShotDetector(VideoShotDetector<MBFImage>, double) - Method in class org.openimaj.video.processing.shotdetector.CombiShotDetector
-
Add a shot detector that will be used in the evidence gathering.
- addW(int) - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
Expand the W parameters matrix by added a set of rows.
- addW(int) - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
Expand the W parameters matrix by added a set of rows.
- addWaitingFor(Object) - Method in class org.openimaj.picslurper.LocalTweetSpout
-
- adjRandInd - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexAnalysis
-
- adjRandInd - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- adjRandInd - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- AdjustedRandomIndexAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
The adjsuted random index as described by: http://faculty.washington.edu/kayee/pca/supp.pdf
- AdjustedRandomIndexAnalysis() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexAnalysis
-
- AdjustedRandomIndexClusterAnalyser - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
- AdjustedRandomIndexClusterAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexClusterAnalyser
-
- administrator_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
A Site that the UserAccount is an administrator of.
- Aestheticode - Class in org.openimaj.image.feature.astheticode
-
A detected Aestheticode
- Aestheticode(int[]) - Constructor for class org.openimaj.image.feature.astheticode.Aestheticode
-
Construct with a code
- Aestheticode(Aestheticode) - Constructor for class org.openimaj.image.feature.astheticode.Aestheticode
-
- Aestheticode(Contour) - Constructor for class org.openimaj.image.feature.astheticode.Aestheticode
-
Construct with a border
- AestheticodeDetector - Class in org.openimaj.image.feature.astheticode
-
Aestheticode detection algorithm.
- AestheticodeDetector() - Constructor for class org.openimaj.image.feature.astheticode.AestheticodeDetector
-
Constructs with the min and max children to the default (both are 5) and
max childless children to 0
- AestheticodeDetector(int, int, int) - Constructor for class org.openimaj.image.feature.astheticode.AestheticodeDetector
-
Construct with the given parameters
- AetTree - Class in org.openimaj.math.geometry.shape.util.polygon
-
- AetTree() - Constructor for class org.openimaj.math.geometry.shape.util.polygon.AetTree
-
- affine - Variable in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
affine parameters of the interest point
- AffineAdaption - Class in org.openimaj.image.feature.local.interest
-
Using an underlying feature detector, adapt the ellipse detected to result in
a more stable region according to work by
http://www.robots.ox.ac.uk/~vgg/research/affine/
- AffineAdaption() - Constructor for class org.openimaj.image.feature.local.interest.AffineAdaption
-
instatiate with a
HarrisIPD
detector with scales 2.0f and 2.0f *
1.4f.
- AffineAdaption(AbstractStructureTensorIPD, IPDSelectionMode) - Constructor for class org.openimaj.image.feature.local.interest.AffineAdaption
-
specify the internal detector and the selection mode
- AffineAdaption(AbstractStructureTensorIPD, AbstractStructureTensorIPD, IPDSelectionMode) - Constructor for class org.openimaj.image.feature.local.interest.AffineAdaption
-
set both the internal and intitial feature detectors (possibly different
settings of the same detector) and a selection mode
- AffineAligner - Class in org.openimaj.image.processing.face.alignment
-
The
AffineAligner
attempts to find an affine transform that will warp
the face to the canonical frame by aligning facial keypoints.
- AffineAligner() - Constructor for class org.openimaj.image.processing.face.alignment.AffineAligner
-
Default Constructor with the default mask (80x80) and default border
percentage (0.225).
- AffineAligner(FImage) - Constructor for class org.openimaj.image.processing.face.alignment.AffineAligner
-
Construct with a mask (in the canonical frame) to apply after aligning
and default border percentage (0.225).
- AffineAligner(FImage, float) - Constructor for class org.openimaj.image.processing.face.alignment.AffineAligner
-
Construct with a mask (in the canonical frame) to apply after aligning
and default border percentage (0.225).
- AffineAligner(int, int, float) - Constructor for class org.openimaj.image.processing.face.alignment.AffineAligner
-
Construct with no mask and the given size and border.
- AffineInterestPointFeatureCollector - Class in org.openimaj.image.feature.local.detector.ipd.collector
-
Use the interest point's local shape to extract features from an affine
corrected patch at the interest point.
- AffineInterestPointFeatureCollector(InterestPointGradientFeatureExtractor) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.AffineInterestPointFeatureCollector
-
- AffineInterestPointKeypoint - Class in org.openimaj.image.feature.local.detector.ipd.collector
-
A keypoint with an elliptical shape from an affine transform.
- AffineInterestPointKeypoint(OrientedFeatureVector, EllipticInterestPointData) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.AffineInterestPointKeypoint
-
Construct with the given feature and location/transform
- AffineInvariantMoments - Class in org.openimaj.image.connectedcomponent.proc
-
Affine-invariant moment descriptor for the
shape of a connected component.
- AffineInvariantMoments() - Constructor for class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
- affineMatrix(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Construct an affine transform using a least-squares fit of the provided
point pairs.
- affineMatrixND(double[][], double[][]) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Find the affine transform between pairs of matching points in
n-dimensional space.
- affineMatrixND(List<? extends IndependentPair<? extends Coordinate, ? extends Coordinate>>) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Find the affine transform between pairs of matching points in
n-dimensional space.
- affineParams - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint
-
The affine simulation parameters of the keypoint
- AffineParams - Class in org.openimaj.image.processing.transform
-
Parameters defining an affine simulation, in terms of a tilt and rotation.
- AffineParams(float, float) - Constructor for class org.openimaj.image.processing.transform.AffineParams
-
Construct with the given rotation and tilt.
- AffineParams() - Constructor for class org.openimaj.image.processing.transform.AffineParams
-
Construct with zero tilt and rotation
- AffineSimulation<I extends Image<P,I> & SinglebandImageProcessor.Processable<Float,FImage,I>,P> - Class in org.openimaj.image.processing.transform
-
Utility methods to simulate affine transformations defined by a rotation and
tilt, or series of rotations and tilts.
- AffineSimulationExtractor<Q extends List<T>,T extends ScaleSpacePoint,I extends Image<P,I> & SinglebandImageProcessor.Processable<Float,FImage,I>,P> - Class in org.openimaj.image.feature.local.affine
-
Base class for local feature detectors/extractors that use affine simulations
in order to increase detections and improve performance with respect to
affine change.
- AffineSimulationExtractor() - Constructor for class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
- AffineSimulationKeypoint - Class in org.openimaj.image.feature.local.affine
-
An extension of a
Keypoint
that holds the
AffineParams
and
simulation index of the affine simulation from which it was detected.
- AffineSimulationKeypoint(int) - Constructor for class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint
-
Construct with the given feature vector length.
- AffineSimulationKeypoint(Keypoint, AffineParams, int) - Constructor for class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint
-
Construct from the given parameters
- AffineSimulationKeypoint.AffineSimulationKeypointLocation - Class in org.openimaj.image.feature.local.affine
-
A
KeypointLocation
extended to hold a rotation, tilt and index
corresponding to an affine simulation.
- AffineSimulationKeypointListArrayIterator - Class in org.openimaj.tools.clusterquantiser
-
An iterator over ASIFT keypoints
- AffineSimulationKeypointListArrayIterator(LocalFeatureList<? extends Keypoint>) - Constructor for class org.openimaj.tools.clusterquantiser.AffineSimulationKeypointListArrayIterator
-
Construct with list of features
- AffineSimulationKeypointLocation() - Constructor for class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation
-
Construct with zero tilt and rotation.
- AffineSimulationKeypointLocation(float, float, float, float, float, float, int) - Constructor for class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation
-
Construct with the given parameters
- AffineTransformModel - Class in org.openimaj.math.geometry.transforms
-
Concrete implementation of a model of an Affine transform.
- AffineTransformModel() - Constructor for class org.openimaj.math.geometry.transforms.AffineTransformModel
-
- AffineTransformModel(Predicate<AffineTransformModel>) - Constructor for class org.openimaj.math.geometry.transforms.AffineTransformModel
-
- AffineTransformModel3d - Class in org.openimaj.math.geometry.transforms
-
Concrete implementation of a model of an Affine transform.
- AffineTransformModel3d() - Constructor for class org.openimaj.math.geometry.transforms.AffineTransformModel3d
-
- afterPlay(AudioPlayer, SampleChunk) - Method in interface org.openimaj.audio.AudioEventListener
-
Called after the audio player given has played a sample chunk
- afterUpdate(VideoDisplay<MBFImage>) - Method in class org.openimaj.content.slideshow.VideoSlide
-
- afterUpdate(VideoDisplay<I>) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Called when the video display is updated and the next frame
is displayed
- afterUpdate(VideoDisplay<T>) - Method in class org.openimaj.video.VideoDisplayAdapter
-
Called when the video display is updated and the next frame
is displayed
- afterUpdate(VideoDisplay<T>) - Method in interface org.openimaj.video.VideoDisplayListener
-
Called when the video display is updated and the next frame
is displayed
- afterUpdate(VideoDisplay<T>) - Method in class org.openimaj.video.VideoPlayer.VideoPlayerComponent.ButtonsPanel
-
- Agent - Interface in comxmlns.foaf._0
-
http://xmlns.com/foaf/0.1/Agent
- AgentLoader - Class in org.openimaj.aop.agent
-
Dynamic agent loader.
- AgentLoader() - Constructor for class org.openimaj.aop.agent.AgentLoader
-
- agentmain(String, Instrumentation) - Static method in class org.openimaj.citation.CitationAgent
-
JVM hook to dynamically load javaagent at runtime.
- agentmain(String, Instrumentation) - Static method in class org.openimaj.experiment.agent.ExperimentAgent
-
JVM hook to dynamically load javaagent at runtime.
- aggregate(List<? extends LocalFeature<?, ? extends ArrayFeatureVector<T>>>) - Method in class org.openimaj.image.feature.local.aggregate.BagOfVisualWords
-
- aggregate(List<? extends LocalFeature<? extends SpatialLocation, ? extends ArrayFeatureVector<T>>>, Rectangle) - Method in class org.openimaj.image.feature.local.aggregate.BlockSpatialAggregator
-
- aggregate(List<? extends LocalFeature<?, ? extends ArrayFeatureVector<T>>>) - Method in class org.openimaj.image.feature.local.aggregate.FisherVector
-
- aggregate(List<? extends LocalFeature<? extends SpatialLocation, ? extends ArrayFeatureVector<T>>>, Rectangle) - Method in class org.openimaj.image.feature.local.aggregate.PyramidSpatialAggregator
-
- aggregate(List<? extends LocalFeature<?, ? extends ArrayFeatureVector<DATATYPE>>>) - Method in class org.openimaj.image.feature.local.aggregate.SoftBagOfVisualWords
-
- aggregate(List<? extends LocalFeature<? extends LOCATION, ? extends FEATURE>>, BOUNDS) - Method in interface org.openimaj.image.feature.local.aggregate.SpatialVectorAggregator
-
Aggregate the given features into a vector.
- aggregate(List<? extends LocalFeature<?, ? extends FEATURE>>) - Method in interface org.openimaj.image.feature.local.aggregate.VectorAggregator
-
Aggregate the given features into a vector.
- aggregate(List<? extends LocalFeature<?, ? extends ArrayFeatureVector<T>>>) - Method in class org.openimaj.image.feature.local.aggregate.VLAD
-
- aggregate(DoubleSynchronisedTimeSeriesCollection) - Method in class org.openimaj.ml.timeseries.aggregator.MeanSquaredDifferenceAggregator
-
- aggregate(DoubleSynchronisedTimeSeriesCollection) - Method in class org.openimaj.ml.timeseries.aggregator.SquaredSummedDifferenceAggregator
-
- aggregate(STSCOLLECTION) - Method in interface org.openimaj.ml.timeseries.aggregator.SynchronisedTimeSeriesCollectionAggregator
-
- aggregate(TSCOLLECTION) - Method in interface org.openimaj.ml.timeseries.aggregator.TimeSeriesCollectionAggregator
-
- aggregate(DoubleSynchronisedTimeSeriesCollection) - Method in class org.openimaj.ml.timeseries.aggregator.WindowedLinearRegressionAggregator
-
- AggregatedCMResult<CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix
-
Aggregated confusion matrix results
- AggregatedCMResult() - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
Default constructor
- AggregatedCMResult(List<CMResult<CLASS>>) - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
Construct with a list of results
- AggregatedCMResult.AggregateStatistics - Class in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix
-
Aggregated accuracy and error rate.
- AggregateStatistics() - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult.AggregateStatistics
-
- aggregateVectors(List<? extends ArrayFeatureVector<T>>) - Method in class org.openimaj.image.feature.local.aggregate.BagOfVisualWords
-
- aggregateVectors(List<? extends ArrayFeatureVector<T>>) - Method in class org.openimaj.image.feature.local.aggregate.FisherVector
-
- aggregateVectors(List<? extends ArrayFeatureVector<DATATYPE>>) - Method in class org.openimaj.image.feature.local.aggregate.SoftBagOfVisualWords
-
- aggregateVectors(List<? extends FEATURE>) - Method in interface org.openimaj.image.feature.local.aggregate.VectorAggregator
-
Aggregate the given features into a vector.
- aggregateVectors(List<? extends ArrayFeatureVector<T>>) - Method in class org.openimaj.image.feature.local.aggregate.VLAD
-
- aggregateVectorsRaw(List<T>) - Method in class org.openimaj.image.feature.local.aggregate.BagOfVisualWords
-
Aggregate the given features into a vector.
- aggregateVectorsRaw(List<DATATYPE>) - Method in class org.openimaj.image.feature.local.aggregate.SoftBagOfVisualWords
-
Aggregate the given features into a vector.
- Aggregation<PAYLOAD,META> - Class in org.openimaj.util.stream.window
-
- Aggregation(PAYLOAD, META) - Constructor for class org.openimaj.util.stream.window.Aggregation
-
- AKMeans - Class in org.openimaj.hadoop.tools.fastkmeans
-
Approximate KMeans mapreduce implementation
- AKMeans() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.AKMeans
-
- AKMeans.Combine - Class in org.openimaj.hadoop.tools.fastkmeans
-
for efficiency, combine centroids early, emitting sums and k for
centroids combined
- AKMeans.Map - Class in org.openimaj.hadoop.tools.fastkmeans
-
the map for approximate kmeans.
- AKMeans.Reduce - Class in org.openimaj.hadoop.tools.fastkmeans
-
The AKmeans reducer.
- AlgebraicResidual2d<M extends Model<Point2d,Point2d> & MatrixTransformProvider> - Class in org.openimaj.math.geometry.transforms.residuals
-
Compute the algebraic residuals of points mapped by a 2d homogeneous
transform (i.e.
- AlgebraicResidual2d() - Constructor for class org.openimaj.math.geometry.transforms.residuals.AlgebraicResidual2d
-
- algorithm - Variable in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- algorithmEnded(IterativeAlgorithm) - Method in class org.openimaj.ml.neuralnet.HandWritingNeuralNetSANDIA
-
- algorithmStarted(IterativeAlgorithm) - Method in class org.openimaj.ml.neuralnet.HandWritingNeuralNetSANDIA
-
- aliasList - Variable in class org.openimaj.text.nlp.namedentity.YagoNamedEntity
-
- align(KEDetectedFace) - Method in class org.openimaj.image.processing.face.alignment.AffineAligner
-
- align(CLMDetectedFace) - Method in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- align(T) - Method in interface org.openimaj.image.processing.face.alignment.FaceAligner
-
For the provided face detection, return an aligned version of the face.
- align(T) - Method in class org.openimaj.image.processing.face.alignment.IdentityAligner
-
- align(KEDetectedFace) - Method in class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
- align(KEDetectedFace) - Method in class org.openimaj.image.processing.face.alignment.RotateScaleAligner
-
- align(DetectedFace) - Method in class org.openimaj.image.processing.face.alignment.ScalingAligner
-
- align(List<PointList>) - Method in class org.openimaj.math.geometry.shape.algorithm.GeneralisedProcrustesAnalysis
-
Align the input shapes to the "mean" shape.
- align(PointList) - Method in class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
Align the given shape to the reference.
- Aligners - Class in org.openimaj.tools.faces.recognition.options
-
Face aligners configuration for the tools.
- Aligners() - Constructor for class org.openimaj.tools.faces.recognition.options.Aligners
-
- Aligners.AlignerDetectorProvider<FACE extends DetectedFace> - Interface in org.openimaj.tools.faces.recognition.options
-
Interface for configuration objects that can provide a compatible aligner
and detector pair.
- Aligners.AnyAligner - Enum in org.openimaj.tools.faces.recognition.options
-
All types of aligner
- alignPoints(List<PointList>, float, int) - Static method in class org.openimaj.math.geometry.shape.algorithm.GeneralisedProcrustesAnalysis
-
Align the input shapes to the "mean" shape using Generalised Procrustes Analysis.
- alignPointsAndAverage(List<PointList>, PointList, double, Point2d) - Static method in class org.openimaj.math.geometry.shape.algorithm.GeneralisedProcrustesAnalysis
-
- All() - Constructor for class org.openimaj.image.feature.local.interest.IPDSelectionMode.All
-
- ALL - Static variable in enum org.openimaj.image.objectdetection.haar.training.HaarFeatureType
-
Set of all the features
- all(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
- All() - Constructor for class org.openimaj.tools.imagecollection.collection.ImageCollectionEntrySelection.All
-
- All(ImageCollectionConfig) - Constructor for class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection.All
-
- AllEigenvalues - Class in ch.akuhn.matrix.eigenvalues
-
Finds all eigenvalues of a matrix.
- AllEigenvalues(Matrix) - Constructor for class ch.akuhn.matrix.eigenvalues.AllEigenvalues
-
Construct with the given matrix
- allHaveAnnotation(List<? extends TextPipeAnnotation>, Class<? extends TextPipeAnnotation>) - Static method in class org.openimaj.text.nlp.textpipe.annotations.AnnotationUtils
-
- allInterestPoints - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
The list of all detected interest points
- ALLOW_CONSOLE_LOGIN - Static variable in class org.openimaj.picslurper.PicSlurper
-
System property name for whether twitter console login should be allowed
- ALLOW_CONSOLE_LOGIN - Static variable in class org.openimaj.picslurper.StormPicSlurper
-
System property name for whether twitter console login should be allowed
- allowMultiple - Variable in class org.openimaj.feature.local.matcher.quantised.BasicQuantisedKeypointMatcher
-
- allowNext() - Method in class org.openimaj.hadoop.sequencefile.ExtractionState
-
- allRectangles() - Method in class org.openimaj.image.pixel.sampling.QuadtreeSampler
-
Get all the sampling regions
- allRectangles() - Method in class org.openimaj.image.pixel.sampling.RectangleSampler
-
Get a list of all the rectangles that can be produced by this sampler
- allseries() - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- allseries() - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- allSuperclasses - Variable in class org.openimaj.rdf.owl2java.ClassDef
-
List of the all the ancestral superclasses to each of the direct
superclasses
- allURLs(Document, String, String) - Static method in class org.openimaj.tools.imagecollection.collection.webpage.WebpageUtils
-
- alpha - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
- alpha - Variable in class org.openimaj.image.feature.global.ROIProportion
-
- alpha - Variable in class org.openimaj.pgm.vb.lda.mle.LDAModel
-
the dirichelet perameter for every dimension of the topic multinomial prior
- alphabet - Static variable in class org.openimaj.web.flickr.FlickrBaseEncoder
-
- AlphabeticNamingStrategy() - Constructor for class org.openimaj.storm.util.graph.StormGraphCreator.NamingStrategy.AlphabeticNamingStrategy
-
- alphabetString - Static variable in class org.openimaj.web.flickr.FlickrBaseEncoder
-
- alphaCompositePixel(float[], float[]) - Static method in class org.openimaj.image.ImageUtilities
-
Alpha composites the pixel p1 with the pixel p2, returning the value in
pixel p1
- alphaCompositePixel(float[], float, float, float, float, float, float, float, float) - Static method in class org.openimaj.image.ImageUtilities
-
- alphaCompositePixel(Float[], Float[]) - Static method in class org.openimaj.image.ImageUtilities
-
Alpha composites the pixel p1 with the pixel p2, returning the value in
pixel p1
- ALTDoGSIFTEngine - Class in org.openimaj.image.feature.local.engine
-
- ALTDoGSIFTEngine() - Constructor for class org.openimaj.image.feature.local.engine.ALTDoGSIFTEngine
-
- AMToolsSampleDataset - Class in org.openimaj.image.model.asm.datasets
-
Tim Cootes's sample appearance modelling data
- AMToolsSampleDataset() - Constructor for class org.openimaj.image.model.asm.datasets.AMToolsSampleDataset
-
- analyse(Map<OBJECT, ClassificationResult<CLASS>>, Map<OBJECT, Set<CLASS>>) - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAnalyser
-
- analyse(Map<OBJECT, ClassificationResult<CLASS>>, Map<OBJECT, Set<CLASS>>) - Method in class org.openimaj.experiment.evaluation.classification.analysers.roc.ROCAnalyser
-
- analyse(Map<OBJECT, ClassificationResult<CLASS>>, Map<OBJECT, Set<CLASS>>) - Method in interface org.openimaj.experiment.evaluation.classification.ClassificationAnalyser
-
Analyse the performance of the predicted results against the actual
ground-truth results.
- analyse(Map<OBJECT, ClassificationResult<CLASS>>) - Method in class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexClusterAnalyser
-
- analyse(int[][], int[][]) - Method in interface org.openimaj.experiment.evaluation.cluster.analyser.ClusterAnalyser
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalyser
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionClusterAnalyser
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEClusterAnalyser
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.NMIClusterAnalyser
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.PurityClusterAnalyser
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalyser
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEClusterAnalyser
-
- analyse(int[][], int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEClusterAnalyser
-
- analyse(int[][]) - Method in class org.openimaj.experiment.evaluation.cluster.ClusterEvaluator
-
- analyse(Map<Double, int[][]>) - Method in class org.openimaj.experiment.evaluation.cluster.RangedDBSCANClusterEvaluator
-
- analyse(T) - Method in interface org.openimaj.experiment.evaluation.Evaluator
-
- analyse(Map<QUERY, List<DOCUMENT>>, Map<QUERY, Set<DOCUMENT>>) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalAnalyser
-
- analyse(Map<QUERY, List<DOCUMENT>>, Map<QUERY, Set<DOCUMENT>>) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.PrecisionAtN
-
- analyse(Map<QUERY, List<DOCUMENT>>, Map<QUERY, Set<DOCUMENT>>) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.TRECEvalAnalyser
-
- analyse(Map<QUERY, List<DOCUMENT>>, Map<QUERY, Set<DOCUMENT>>) - Method in interface org.openimaj.experiment.evaluation.retrieval.RetrievalAnalyser
-
Analyse ranked results from a
RetrievalEngine
against a
ground-truth set of relevant results and produce an
AnalysisResult
which can be read by a human.
- analyse(Map<QUERY, List<DOCUMENT>>) - Method in class org.openimaj.experiment.evaluation.retrieval.RetrievalEvaluator
-
- analyseFrame(T) - Method in class org.openimaj.video.analyser.VideoAnalyser
-
Analyse the given frame and make no changes to the frame.
- analyseFrame(FImage) - Method in class org.openimaj.video.processing.motion.MotionEstimator
-
Analyse the given frame and make no changes to the frame.
- analyseFrame(FImage) - Method in class org.openimaj.video.processing.pixels.FMeanVarianceField
-
- analyseFrame(MBFImage) - Method in class org.openimaj.video.processing.pixels.MBFMeanVarianceField
-
- analyseImage(I) - Method in interface org.openimaj.image.analyser.ImageAnalyser
-
Analyse an image.
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.EuclideanDistanceTransform
-
- analyseImage(I) - Method in class org.openimaj.image.analysis.algorithm.FloodFill
-
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
Perform template matching.
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Computes the bin-map for this image.
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.GradientOrientationHistogramExtractor
-
- analyseImage(FImage, FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.GradientOrientationHistogramExtractor
-
Analyse the given image, but construct the internal data such that the
gradient magnitudes are multiplied by the given edge map before being
accumulated.
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.HistogramAnalyser
-
Computes the Histogram for this image.
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
Computes the bin-map for this image.
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.HorizontalProjection
-
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.HoughCircles
-
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Analyse an image.
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.ImageInterpolation
-
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.SummedAreaTable
-
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
Perform template matching.
- analyseImage(FImage) - Method in class org.openimaj.image.analysis.algorithm.VerticalProjection
-
- analyseImage(IMAGE) - Method in class org.openimaj.image.analysis.pyramid.Pyramid
-
- analyseImage(IMAGE) - Method in class org.openimaj.image.analysis.pyramid.SimplePyramid
-
- analyseImage(FImage) - Method in class org.openimaj.image.camera.calibration.ChessboardCornerFinder
-
- analyseImage(FImage) - Method in class org.openimaj.image.camera.calibration.FastChessboardDetector
-
- analyseImage(FImage) - Method in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- analyseImage(FImage) - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
-
- analyseImage(FImage) - Method in class org.openimaj.image.contour.SuzukiContourProcessor
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- analyseImage(IMAGE, Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
Compute the dense sift descriptors inside the bounds rectangle of the
given image.
- analyseImage(IMAGE) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
Compute the dense sift descriptors of the given image.
- analyseImage(MBFImage, Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- analyseImage(FImage, Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- analyseImage(IMAGE, Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.gradient.HOG
-
- analyseImage(FImage, FImage) - Method in class org.openimaj.image.feature.dense.gradient.HOG
-
Analyse the given image, but construct the internal data such that the
gradient magnitudes are multiplied by the given edge map before being
accumulated.
- analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.gradient.PHOG
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.AvgBrightness
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.ColourContrast
-
- analyseImage(IMAGE) - Method in class org.openimaj.image.feature.global.Gist
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.global.HorizontalIntensityDistribution
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.HueStats
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.global.LRIntensityBalance
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.LuoSimplicity
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.Naturalness
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.RGBRMSContrast
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.global.RMSContrast
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.ROIProportion
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.RuleOfThirds
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.Saturation
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.SaturationVariation
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.global.Sharpness
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.global.SharpnessVariation
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.global.SharpPixelProportion
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.global.WeberContrast
-
- analyseImage(FImage) - Method in class org.openimaj.image.feature.global.YehBokehEstimator
-
- analyseImage(FImage) - Method in class org.openimaj.image.processing.algorithm.MinMaxAnalyser
-
- analyseImage(FImage) - Method in class org.openimaj.image.processing.convolution.CLSobel
-
- analyseImage(FImage) - Method in class org.openimaj.image.processing.convolution.filterbank.FilterBank
-
- analyseImage(FImage) - Method in class org.openimaj.image.processing.convolution.filterbank.LawsTexture
-
- analyseImage(FImage) - Method in class org.openimaj.image.processing.convolution.filterbank.MR8FilterBank
-
- analyseImage(FImage) - Method in class org.openimaj.image.processing.convolution.FImageGradients
-
- analyseImage(FImage) - Method in class org.openimaj.image.processing.convolution.FSobel
-
- analyseImage(FImage) - Method in class org.openimaj.image.processing.edges.EdgeFinder
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.saliency.AchantaSaliency
-
- analyseImage(FImage) - Method in class org.openimaj.image.saliency.DepthOfFieldEstimator
-
- analyseImage(FImage) - Method in class org.openimaj.image.saliency.LuoTangSubjectRegion
-
- analyseImage(MBFImage) - Method in class org.openimaj.image.saliency.YehSaliency
-
- analyseImage(FImage) - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector
-
- analyseImage(FImage, FImage) - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector
-
- analysePixel(Q) - Method in interface org.openimaj.image.analyser.PixelAnalyser
-
Analyse the given pixel.
- analysePixel(Float[]) - Method in class org.openimaj.image.feature.global.Colorfulness
-
- analyser - Variable in class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
- analyser - Variable in class org.openimaj.experiment.evaluation.retrieval.RetrievalEvaluator
-
- analyseWith(PixelAnalyser<Float>) - Method in class org.openimaj.image.FImage
-
- analyseWith(ImageAnalyser<I>) - Method in class org.openimaj.image.Image
-
- analyseWith(PixelAnalyser<Q>) - Method in class org.openimaj.image.Image
-
- analyseWithMasked(FImage, PixelAnalyser<Q>) - Method in class org.openimaj.image.Image
-
Analyse this image with the given
PixelAnalyser
, only analysing
those pixels where the mask is non-zero.
- analysis - Variable in class org.openimaj.twitter.GeneralJSON
-
analysos held in the object
- AnalysisOutputMode - Class in org.openimaj.tools.twitter.modes.output
-
An ouput mode which alters the tweets being outputted
- AnalysisOutputMode() - Constructor for class org.openimaj.tools.twitter.modes.output.AnalysisOutputMode
-
Non selective, output everything
- AnalysisResult - Interface in org.openimaj.experiment.evaluation
-
The result of the analysis of raw data.
- analysisResults(DecisionAnalysis) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionClusterAnalyser
-
- analysisResults(DecisionAnalysis) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreClusterAnalyser
-
- analysisResults(DecisionAnalysis) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexClusterAnalyser
-
- analysisToJSON() - Method in class org.openimaj.twitter.GeneralJSON
-
Get all the Analysis in JSON format.
- Anchor - Class in org.openimaj.web.readability
-
Class to represent a simple HTML anchor tag.
- Anchor(String, String) - Constructor for class org.openimaj.web.readability.Anchor
-
Default constructor with text and a href.
- anchorContextQuery(String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- and(Matrix...) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
- And<T> - Class in org.openimaj.util.function.predicates
-
"And" together 2 or more predicates
- And() - Constructor for class org.openimaj.util.function.predicates.And
-
Construct an empty "and"
- And(Predicate<T>, Predicate<T>) - Constructor for class org.openimaj.util.function.predicates.And
-
Construct with the given predicates
- And(Predicate<T>, Predicate<T>, Predicate<T>) - Constructor for class org.openimaj.util.function.predicates.And
-
Construct with the given predicates
- And(List<Predicate<T>>) - Constructor for class org.openimaj.util.function.predicates.And
-
Construct with the given predicates
- angle - Variable in class org.openimaj.image.processing.edges.EdgeFinder
-
The direction of each edge as worked out by the angle between the triangle formed by the dx and dy of a pixel
- ANGLE - Static variable in class org.openimaj.image.typography.FontStyle
-
Attribute for rotating the text.
- angle - Variable in class org.openimaj.image.typography.FontStyle
-
Angle in radians for drawing the associated text
- animateCountryColour(String, ValueAnimator<Float[]>) - Method in class org.openimaj.vis.world.WorldMap
-
Animate the colour of a country
- AnimatedVideo<I extends Image<?,I>> - Class in org.openimaj.video
-
A basic abstract implementation of a video that displays an image and
provides double-buffering
- AnimatedVideo(I) - Constructor for class org.openimaj.video.AnimatedVideo
-
Default video constructor with a rate of 30 fps using the given image as
a basis.
- AnimatedVideo(I, double) - Constructor for class org.openimaj.video.AnimatedVideo
-
Default video constructor with the given rate using the given image as a
basis.
- AnimatedVisualisationListener - Interface in org.openimaj.vis
-
- AnimatedVisualisationProvider - Interface in org.openimaj.vis
-
An interface for visualisation objects that are able to provide animated
visualisations.
- AnimatorThread(boolean) - Constructor for class org.openimaj.video.VideoPlayer.VideoPlayerComponent.AnimatorThread
-
Create a new animator thread.
- AnisotropicDiffusion - Class in org.openimaj.image.processing.algorithm
-
Implementation of Perona & Malik's image filtering by anisotropic
diffusion.
- AnisotropicDiffusion(int, float, AnisotropicDiffusion.ConductionCoefficientFunction, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.processing.algorithm.AnisotropicDiffusion
-
Construct using the given parameters.
- AnisotropicDiffusion(int, float, AnisotropicDiffusion.ConductionCoefficientFunction) - Constructor for class org.openimaj.image.processing.algorithm.AnisotropicDiffusion
-
Construct using the given parameters.
- AnisotropicDiffusion.ConductionCoefficientFunction - Interface in org.openimaj.image.processing.algorithm
-
Interface describing a function that computes the conduction coefficient as a
function of space and gradient magnitude.
- AnisotropicDiffusion.HighConstrastEdgeFunction - Class in org.openimaj.image.processing.algorithm
-
The first conduction function proposed by Perona & Malik, that privileges
high contrast edges over low constrast ones.
- AnisotropicDiffusion.WideRegionFunction - Class in org.openimaj.image.processing.algorithm
-
The second conduction function proposed by Perona & Malik, that
privileges wider regions over smaller ones.
- annotate(DoubleFV) - Method in class org.openimaj.audio.AudioAnnotator
-
Generate annotations for the given object.
- annotate(FACE, Collection<PERSON>) - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- annotate(FACE) - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- annotate(FACE, Collection<PERSON>) - Method in class org.openimaj.image.processing.face.recognition.FaceRecogniser
-
Attempt to recognize the given face, restricting the potential people to
coming from the given set.
- annotate(FACE) - Method in class org.openimaj.image.processing.face.recognition.FaceRecogniser
-
Attempt to recognize the given face.
- annotate(OBJECT) - Method in interface org.openimaj.ml.annotation.Annotator
-
Generate annotations for the given object.
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.basic.IndependentPriorRandomAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.basic.UniformRandomAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.FeatureCachingIncrementalBatchAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.InstanceCachingIncrementalBatchAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.linear.DenseLinearTransformAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.linear.LiblinearAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.linear.LinearSVMAnnotator
-
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.model.ModelAnnotator
-
- annotate(OBJECT, Collection<ANNOTATION>) - Method in interface org.openimaj.ml.annotation.RestrictedAnnotator
-
Generate annotations for the given object, restricting
the potential annotations to coming from the given set.
- annotate(OBJECT) - Method in class org.openimaj.ml.annotation.svm.SVMAnnotator
-
Generate annotations for the given object.
- annotate(List<String>) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityCandidateAnnotator
-
- annotate(List<String>) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityCompleteAnnotator
-
- annotate(List<String>) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityContextAnnotator
-
- annotate(String) - Method in class org.openimaj.text.nlp.sentiment.model.wordlist.MPQAToken
-
- annotate(List<String>) - Method in class org.openimaj.text.nlp.sentiment.model.wordlist.MPQATokenList
-
- annotate(INPUT_ANNOTATION) - Method in class org.openimaj.text.nlp.textpipe.annotators.AbstractTextPipeAnnotator
-
- annotate(RawTextAnnotation) - Method in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPPOSAnnotator
-
- annotate(String) - Method in class org.openimaj.text.nlp.textpipe.pipes.YagoEntityPipe
-
- annotateBest(FACE, Collection<PERSON>) - Method in class org.openimaj.image.processing.face.recognition.FaceRecogniser
-
Attempt to recognize the given face, restricting the potential people to
coming from the given set.
- annotateBest(FACE) - Method in class org.openimaj.image.processing.face.recognition.FaceRecogniser
-
Attempt to recognize the given face.
- Annotated<OBJECT,ANNOTATION> - Interface in org.openimaj.ml.annotation
-
An object with annotations.
- AnnotatedListHelper<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation.utils
-
Helper class for dealing with lists of annotated objects,
and specifically getting objects by class and determining
the set of annotations.
- AnnotatedListHelper(List<? extends Annotated<OBJECT, ANNOTATION>>) - Constructor for class org.openimaj.ml.annotation.utils.AnnotatedListHelper
-
- AnnotatedObject<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation
-
- AnnotatedObject(OBJECT, Collection<ANNOTATION>) - Constructor for class org.openimaj.ml.annotation.AnnotatedObject
-
Construct with the given object and its annotations.
- AnnotatedObject(OBJECT, ANNOTATION) - Constructor for class org.openimaj.ml.annotation.AnnotatedObject
-
Construct with the given object and its annotation.
- annotation - Variable in class org.openimaj.demos.Demos.DemoObject
-
- annotation - Variable in class org.openimaj.ml.annotation.ScoredAnnotation
-
The annotation
- AnnotationEvaluator<OBJECT extends Identifiable,ANNOTATION> - Class in org.openimaj.ml.annotation.evaluation
-
A class to help evaluate the performance of an
Annotator
using
standardised classification and/or retrieval evaluation methodologies.
- AnnotationEvaluator(Annotator<OBJECT, ANNOTATION>, Dataset<? extends Annotated<OBJECT, ANNOTATION>>) - Constructor for class org.openimaj.ml.annotation.evaluation.AnnotationEvaluator
-
Construct a new
AnnotationEvaluator
with the given annotator and
test data (with ground-truth annotations).
- annotationProbability - Variable in class org.openimaj.ml.annotation.basic.IndependentPriorRandomAnnotator
-
- annotations - Variable in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Record
-
A set of responses for this image
- annotations - Variable in class org.openimaj.ml.annotation.AnnotatedObject
-
The annotations
- annotations - Variable in class org.openimaj.ml.annotation.basic.IndependentPriorRandomAnnotator
-
- annotations - Variable in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- annotations - Variable in class org.openimaj.ml.annotation.basic.UniformRandomAnnotator
-
- annotationsSet - Variable in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- AnnotationUtils - Class in org.openimaj.text.nlp.textpipe.annotations
-
Currently a collection of static functions required by various parts of the TextPipe.
- AnnotationUtils() - Constructor for class org.openimaj.text.nlp.textpipe.annotations.AnnotationUtils
-
- annotator - Variable in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- Annotator<OBJECT,ANNOTATION> - Interface in org.openimaj.ml.annotation
-
Base class for objects capable of annotating things.
- AnnotatorFaceRecogniser<FACE extends DetectedFace,PERSON> - Class in org.openimaj.image.processing.face.recognition
-
- AnnotatorFaceRecogniser() - Constructor for class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- AnnotatorFaceRecogniser(IncrementalAnnotator<FACE, PERSON>) - Constructor for class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
Construct with the given underlying annotator.
- anon - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
Was the edit anonymous?
- ANTI_ALIASED - Static variable in class org.openimaj.image.renderer.RenderHints
-
Anti-aliased drawing
- any(Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- anyNaNorInf(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Are any values NaN or Inf?
- apikey - Variable in class org.openimaj.util.api.auth.common.FlickrAPIToken
-
The API key
- apiKey - Variable in class org.openimaj.util.api.auth.common.OpenCalaisAPIToken
-
The OpenCalais API key
- apikey - Variable in class org.openimaj.util.auth.web.TumblrAPIToken
-
The api key
- App - Class in org.openimaj.docs.tutorial.adv.advanced.parallel
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.adv.advanced.parallel.App
-
- App - Class in org.openimaj.docs.tutorial.adv.faces.eigen
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.adv.faces.eigen.App
-
- App - Class in org.openimaj.docs.tutorial.adv.faces.pipeeigen
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.adv.faces.pipeeigen.App
-
- App - Class in org.openimaj.docs.tutorial.fund.gettingstarted.maven
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.gettingstarted.maven.App
-
- App - Class in org.openimaj.docs.tutorial.fund.images.clustseg
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.images.clustseg.App
-
- App - Class in org.openimaj.docs.tutorial.fund.images.datasets
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.images.datasets.App
-
- App - Class in org.openimaj.docs.tutorial.fund.images.firstimage
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.images.firstimage.App
-
- App - Class in org.openimaj.docs.tutorial.fund.images.imagehist
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.images.imagehist.App
-
- App - Class in org.openimaj.docs.tutorial.fund.images.siftmatch
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.images.siftmatch.App
-
- App - Class in org.openimaj.docs.tutorial.fund.ml.class101
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.ml.class101.App
-
- App - Class in org.openimaj.docs.tutorial.fund.stream.twitterimages
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.stream.twitterimages.App
-
- App - Class in org.openimaj.docs.tutorial.fund.video.faces
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.video.faces.App
-
- App - Class in org.openimaj.docs.tutorial.fund.video.procvid
-
OpenIMAJ Hello world!
- App() - Constructor for class org.openimaj.docs.tutorial.fund.video.procvid.App
-
- append(SampleChunk) - Method in class org.openimaj.audio.SampleChunk
-
Appends the given samples to the end of this sample chunk.
- appendColumn(T, Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- appendData(K, V) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Append data to a sequence file.
- appendFile(K, FileSystem, Path) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Append data read from a file to the sequence file.
- appendFiles(FileSystem, Path, boolean, PathFilter, SequenceFileUtility.KeyProvider<K>) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Append files to a sequenceFile.
- appendRow(T, Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- application - Variable in class org.openimaj.twitter.USMFStatus
-
Application used to create this posting
- apply(FImage) - Method in class org.openimaj.experiment.gmm.retrieval.DoGSiftFeatureExtractor
-
- apply(FImage) - Method in class org.openimaj.experiment.gmm.retrieval.DSiftFeatureExtractor
-
- apply(LocalFeatureList<? extends LocalFeature<?, ? extends FeatureVector>>) - Method in class org.openimaj.experiment.gmm.retrieval.GMMFromFeatures
-
- apply(Pointer<libfreenectLibrary.freenect_device>, Pointer<?>, int) - Method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_depth_cb
-
- apply(Pointer<libfreenectLibrary.freenect_context>, ValuedEnum<libfreenectLibrary.freenect_loglevel>, Pointer<Byte>) - Method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_log_cb
-
- apply(Pointer<libfreenectLibrary.freenect_device>, Pointer<?>, int) - Method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_video_cb
-
- apply(Pointer<libfreenectLibrary.freenect_device>, Pointer<?>, int) - Method in class org.openimaj.hardware.kinect.KinectVideoStreamCallback
-
- apply(float, float[]) - Method in enum org.openimaj.image.colour.ColourMap
-
Apply a colourmap to a single pixel
- apply(float) - Method in enum org.openimaj.image.colour.ColourMap
-
Apply a colourmap to a single pixel
- apply(FImage) - Method in enum org.openimaj.image.colour.ColourMap
-
Apply a colourmap to an image
- apply(Contour) - Method in class org.openimaj.image.feature.astheticode.AestheticodeDetector
-
- apply(List<IN>) - Method in interface org.openimaj.image.objectdetection.filtering.DetectionFilter
-
Perform the filtering operation on the input and return the output.
- apply(List<T>) - Method in class org.openimaj.image.objectdetection.filtering.IdentityFilter
-
- apply(List<T>) - Method in class org.openimaj.image.objectdetection.filtering.MaxSizeFilter
-
- apply(List<Rectangle>) - Method in class org.openimaj.image.objectdetection.filtering.OpenCVGrouping
-
- apply(float, int, int) - Method in interface org.openimaj.image.processing.algorithm.AnisotropicDiffusion.ConductionCoefficientFunction
-
Compute the conduction coefficient given gradient and position.
- apply(float, int, int) - Method in class org.openimaj.image.processing.algorithm.AnisotropicDiffusion.HighConstrastEdgeFunction
-
- apply(float, int, int) - Method in class org.openimaj.image.processing.algorithm.AnisotropicDiffusion.WideRegionFunction
-
- apply(Polyline) - Method in class org.openimaj.math.geometry.path.resample.LinearResampler
-
- apply(double[], double[]) - Method in class org.openimaj.math.geometry.shape.PointDistributionModel.BoxConstraint
-
- apply(double[], double[]) - Method in interface org.openimaj.math.geometry.shape.PointDistributionModel.Constraint
-
Apply constraints to a scaling vector so that it will generated a
plausible model and return the new constrained vector.
- apply(double[], double[]) - Method in class org.openimaj.math.geometry.shape.PointDistributionModel.EllipsoidConstraint
-
- apply(double[], double[]) - Method in class org.openimaj.math.geometry.shape.PointDistributionModel.NullConstraint
-
- apply(double[]) - Method in class org.openimaj.math.matrix.GramSchmidtProcess
-
- apply(List<T>) - Method in class org.openimaj.ml.clustering.spectral.DoubleFVSimilarityFunction
-
- apply(IndependentPair<double[], double[][]>) - Method in class org.openimaj.ml.clustering.spectral.SpectralClusteringConf.DefaultClustererFunction
-
- apply(IndependentPair<double[], double[]>) - Method in class org.openimaj.ml.linear.kernel.LinearVectorKernel
-
- apply(URL) - Method in class org.openimaj.stream.functions.ImageFromURL
-
- apply(URL) - Method in class org.openimaj.stream.functions.SiteSpecificURLExtractor
-
- apply(Status) - Method in class org.openimaj.stream.functions.twitter.TwitterURLExtractor
-
- apply(Context) - Method in class org.openimaj.util.function.context.ContextFunctionAdaptor
-
- apply(T) - Method in class org.openimaj.util.function.context.ContextGenerator
-
- apply(Context) - Method in class org.openimaj.util.function.context.ContextListFilter
-
- apply(Context) - Method in class org.openimaj.util.function.context.ContextListFunction
-
- apply(List<Context>) - Method in class org.openimaj.util.function.context.ContextListTransform
-
- apply(List<Context>) - Method in class org.openimaj.util.function.context.ContextListTransformFunction
-
- apply(Context) - Method in class org.openimaj.util.function.context.ContextTransform
-
- apply(IN) - Method in interface org.openimaj.util.function.Function
-
Apply the function to the input argument and return the result.
- apply(List<IN>) - Method in class org.openimaj.util.function.ListFilter
-
- apply(List<IN>) - Method in class org.openimaj.util.function.ListFunction
-
- apply(IN) - Method in interface org.openimaj.util.function.MultiFunction
-
Apply the function to the input argument and return the result(s).
- apply(IndependentPair<AIN, BIN>) - Method in class org.openimaj.util.stream.combine.CombinedStreamFunction
-
- apply(MetaPayload<IndependentPair<AIN, BIN>, IndependentPair<AM, BM>>) - Method in class org.openimaj.util.stream.window.CombinedMetaPayloadFunction
-
- apply(Stream<IN>) - Method in class org.openimaj.util.stream.window.ContextRealTimeWindowFunction
-
- apply(Stream<IN>) - Method in class org.openimaj.util.stream.window.RealTimeWindowFunction
-
- apply(Stream<T>) - Method in class org.openimaj.util.stream.window.SequentialStreamAggregator
-
- apply(List<Map<String, Double>>) - Method in class org.openimaj.util.stream.window.WindowAverage
-
- apply(Window<IN, META>) - Method in class org.openimaj.util.stream.window.WindowFilter
-
- apply(Window<IN, META>) - Method in class org.openimaj.util.stream.window.WindowFunction
-
- applyADSREnvelope(SampleBuffer) - Method in class org.openimaj.audio.generation.Synthesizer
-
Applies the ADSR gain envelope to the samples generated by the
generator.
- applyCentering() - Method in class ch.akuhn.matrix.Vector
-
mean-center the vector
- applyDistortion(Point2d) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Apply the radial and tangential distortion of this camera to the given
projected point (presumably computed by projecting a world point through
the homography defined by the extrinsic parameters of a camera).
- applyMultiplication(double) - Method in class ch.akuhn.matrix.DenseMatrix
-
Inline multiplication by a constant
- applyMultiplication(double) - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
Multiply all elements by a constant.
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.ArbitaryRotateSimulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.ArbitaryStretchSimulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.ComboSimulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.CompressSimulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.CropSimulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.GreyscaleSimulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.Rotate90Simulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.Simulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.UniformScaleSimulation
-
- applySimulation(MBFImage) - Method in class org.openimaj.image.neardups.sim.WatermarkSimulation
-
- ApproximateBBFMedianSplit() - Constructor for class org.openimaj.util.tree.ByteKDTree.ApproximateBBFMedianSplit
-
Construct with the default maximum number of items per bucket
- ApproximateBBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.ByteKDTree.ApproximateBBFMedianSplit
-
Construct with the given maximum number of items per bucket
- ApproximateBBFMedianSplit() - Constructor for class org.openimaj.util.tree.DoubleKDTree.ApproximateBBFMedianSplit
-
Construct with the default maximum number of items per bucket
- ApproximateBBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.DoubleKDTree.ApproximateBBFMedianSplit
-
Construct with the given maximum number of items per bucket
- ApproximateBBFMedianSplit() - Constructor for class org.openimaj.util.tree.FloatKDTree.ApproximateBBFMedianSplit
-
Construct with the default maximum number of items per bucket
- ApproximateBBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.FloatKDTree.ApproximateBBFMedianSplit
-
Construct with the given maximum number of items per bucket
- ApproximateBBFMedianSplit() - Constructor for class org.openimaj.util.tree.IntKDTree.ApproximateBBFMedianSplit
-
Construct with the default maximum number of items per bucket
- ApproximateBBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.IntKDTree.ApproximateBBFMedianSplit
-
Construct with the given maximum number of items per bucket
- ApproximateBBFMedianSplit() - Constructor for class org.openimaj.util.tree.LongKDTree.ApproximateBBFMedianSplit
-
Construct with the default maximum number of items per bucket
- ApproximateBBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.LongKDTree.ApproximateBBFMedianSplit
-
Construct with the given maximum number of items per bucket
- ApproximateBBFMedianSplit() - Constructor for class org.openimaj.util.tree.ShortKDTree.ApproximateBBFMedianSplit
-
Construct with the default maximum number of items per bucket
- ApproximateBBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.ShortKDTree.ApproximateBBFMedianSplit
-
Construct with the given maximum number of items per bucket
- ApproximateDenseSIFT - Class in org.openimaj.image.feature.dense.gradient.dsift
-
Implementation of an approximate dense SIFT feature extractor.
- ApproximateDenseSIFT() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT
-
Construct with the default configuration: standard SIFT geometry (4x4x8),
5px x 5px spatial bins, 5px step size, gaussian window size of 2 and
value threshold of 0.2.
- ApproximateDenseSIFT(int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT
-
Construct with the given step size (for both x and y) and binSize.
- ApproximateDenseSIFT(int, int, int, int, int, int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT
-
Construct with the given configuration.
- ApproximateDenseSIFT(int, int, int, int, int, int, int, float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT
-
Construct with the given configuration.
- ApproximateDenseSIFT(int, int, int, int, int, int, int, float, float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT
-
Construct with the given configuration.
- approximateRotationMatrix(Matrix) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Given an approximate rotation matrix Q (that doesn't necessarily conform
properly to a rotation matrix), return the best estimate of a rotation
matrix R such that the Frobenius norm is minimised: min||r-Q||^2_F.
- ArbitaryRotateSimulation - Class in org.openimaj.image.neardups.sim
-
- ArbitaryRotateSimulation(int) - Constructor for class org.openimaj.image.neardups.sim.ArbitaryRotateSimulation
-
- ArbitaryStretchSimulation - Class in org.openimaj.image.neardups.sim
-
- ArbitaryStretchSimulation(int) - Constructor for class org.openimaj.image.neardups.sim.ArbitaryStretchSimulation
-
- area - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
The area of the component
- areAllCollinear(List<Point2d>) - Static method in class org.openimaj.math.geometry.shape.util.GrahamScan
-
Returns true iff all Point2ds in Point2ds
are collinear.
- AreaOfIntersection(Ellipse, Ellipse) - Static method in class org.openimaj.math.geometry.shape.EllipseAreaOfIntersection
-
Compute area of intersection.
- ARGBPlane - Enum in org.openimaj.image
-
Enumerator for enumerating the planes of an RGB image.
- args(String[]) - Method in class org.openimaj.hadoop.mapreduce.SingleStagedJob
-
- args(String[]) - Method in class org.openimaj.hadoop.mapreduce.StageRunner
-
- args - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- args(String[]) - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingTool
-
- ARGS_KEY - Static variable in class org.openimaj.hadoop.tools.downloader.HadoopDownloader
-
- ARGS_KEY - Static variable in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingTool
-
where arguments are held
- ARGS_KEY - Static variable in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
The key in which command line arguments are held for each mapper to read
the options instance
- ARGS_KEY - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod
-
arg key
- ARGS_KEY - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.Values
-
The index location config option
- ArgsUtil - Class in org.kohsuke.args4j.util
-
- array - Variable in class org.openimaj.hadoop.tools.fastkmeans.IndexedByteArray
-
- ArrayBackedDataSource<T> - Class in org.openimaj.data
-
- ArrayBackedDataSource(T[]) - Constructor for class org.openimaj.data.ArrayBackedDataSource
-
Construct with data
- ArrayBackedDataSource(T[], Random) - Constructor for class org.openimaj.data.ArrayBackedDataSource
-
Construct with data and a random generator for random sampling
- ArrayBackedVideo<T extends Image<?,T>> - Class in org.openimaj.video
-
A video from an array of frames
- ArrayBackedVideo() - Constructor for class org.openimaj.video.ArrayBackedVideo
-
Default constructor for creating array backed videos with no frames for
subclasses.
- ArrayBackedVideo(T[]) - Constructor for class org.openimaj.video.ArrayBackedVideo
-
Construct a video from the provided frames.
- ArrayBackedVideo(T[], double) - Constructor for class org.openimaj.video.ArrayBackedVideo
-
Construct a video from the provided frames.
- ArrayBackedVideo(T[], double, boolean) - Constructor for class org.openimaj.video.ArrayBackedVideo
-
Construct a video from the provided frames.
- ArrayBlockingDroppingQueue<E> - Class in org.openimaj.util.concurrent
-
- ArrayBlockingDroppingQueue(int) - Constructor for class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Creates an ArrayBlockingDroppingQueue with the given (fixed)
capacity and default access policy.
- ArrayBlockingDroppingQueue(int, boolean) - Constructor for class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Creates an ArrayBlockingDroppingQueue with the given (fixed)
capacity and the specified access policy.
- ArrayBlockingDroppingQueue(int, boolean, Collection<? extends E>) - Constructor for class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Creates an ArrayBlockingDroppingQueue with the given (fixed)
capacity, the specified access policy and initially containing the
elements of the given collection, added in traversal order of the
collection's iterator.
- ArrayFeatureVector<ARRAYTYPE> - Class in org.openimaj.feature
-
Abstract base class for all types of
FeatureVector
that are backed by
a native array.
- ArrayFeatureVector() - Constructor for class org.openimaj.feature.ArrayFeatureVector
-
- ArrayIndexComparator - Class in org.openimaj.ml.linear.experiments.sinabill
-
- ArrayIndexComparator(double[]) - Constructor for class org.openimaj.ml.linear.experiments.sinabill.ArrayIndexComparator
-
- ArrayIterator<T> - Class in org.openimaj.util.array
-
A wrapper to make arrays iterable
- ArrayIterator(T[]) - Constructor for class org.openimaj.util.array.ArrayIterator
-
Construct an iterator over the provided array
- arrayLength() - Method in class org.openimaj.lsh.sketch.ByteLSHSketcher
-
Get the length of the output byte array of packed bits.
- arrayLength() - Method in class org.openimaj.lsh.sketch.IntLSHSketcher
-
Get the length of the output int array of packed bits.
- arrayLength() - Method in class org.openimaj.lsh.sketch.LongLSHSketcher
-
Get the length of the output long array of packed bits.
- arrayLength() - Method in class org.openimaj.lsh.sketch.ShortLSHSketcher
-
Get the length of the output short array of packed bits.
- ArrayUtils - Class in org.openimaj.util.array
-
Collection of utilities for primitive arrays.
- article_contentType - Variable in class org.openimaj.web.readability.Readability
-
- article_date - Variable in class org.openimaj.web.readability.Readability
-
- article_date_string - Variable in class org.openimaj.web.readability.Readability
-
- articleContent - Variable in class org.openimaj.web.readability.Readability
-
- articleTitle - Variable in class org.openimaj.web.readability.Readability
-
- asArray() - Method in class ch.akuhn.matrix.Matrix
-
Get the matrix data as a 2D dense array
- asArray() - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
- asArrayList() - Method in class org.openimaj.video.capture.DeviceList
-
- ASCENDING_COMPARATOR - Static variable in class org.openimaj.math.graph.SimpleWeightedEdge
-
- asciiHeader() - Method in class org.openimaj.feature.ByteFV
-
- asciiHeader() - Method in class org.openimaj.feature.DoubleFV
-
- asciiHeader() - Method in class org.openimaj.feature.EnumFV
-
- asciiHeader() - Method in class org.openimaj.feature.FloatFV
-
- asciiHeader() - Method in class org.openimaj.feature.IntFV
-
- asciiHeader() - Method in class org.openimaj.feature.local.FloatLocalFeatureAdaptor
-
- asciiHeader() - Method in class org.openimaj.feature.local.list.FileLocalFeatureList
-
- asciiHeader() - Method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
- asciiHeader() - Method in class org.openimaj.feature.local.list.StreamLocalFeatureList
-
- asciiHeader() - Method in class org.openimaj.feature.local.LocalFeatureImpl
-
- asciiHeader() - Method in class org.openimaj.feature.local.quantised.QuantisedLocalFeature
-
- asciiHeader() - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- asciiHeader() - Method in class org.openimaj.feature.local.SpatialLocation
-
- asciiHeader() - Method in class org.openimaj.feature.LongFV
-
- asciiHeader() - Method in class org.openimaj.feature.MultidimensionalByteFV
-
- asciiHeader() - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
- asciiHeader() - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
- asciiHeader() - Method in class org.openimaj.feature.MultidimensionalIntFV
-
- asciiHeader() - Method in class org.openimaj.feature.MultidimensionalLongFV
-
- asciiHeader() - Method in class org.openimaj.feature.MultidimensionalShortFV
-
- asciiHeader() - Method in class org.openimaj.feature.ShortFV
-
- asciiHeader() - Method in class org.openimaj.feature.SparseByteFV
-
- asciiHeader() - Method in class org.openimaj.feature.SparseDoubleFV
-
- asciiHeader() - Method in class org.openimaj.feature.SparseFloatFV
-
- asciiHeader() - Method in class org.openimaj.feature.SparseIntFV
-
- asciiHeader() - Method in class org.openimaj.feature.SparseLongFV
-
- asciiHeader() - Method in class org.openimaj.feature.SparseShortFV
-
- asciiHeader() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- asciiHeader() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.WritableEnumCounter
-
- asciiHeader() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.JacardIndex
-
- asciiHeader() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
- asciiHeader() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeries
-
- asciiHeader() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeriesCollection
-
- asciiHeader() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- asciiHeader() - Method in class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
- asciiHeader() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- asciiHeader() - Method in class org.openimaj.image.feature.local.keypoints.KeypointLocation
-
- asciiHeader() - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
- asciiHeader() - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
- asciiHeader() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
- asciiHeader() - Method in class org.openimaj.image.pixel.Pixel
-
- asciiHeader() - Method in class org.openimaj.image.pixel.PixelSet
-
- asciiHeader() - Method in class org.openimaj.image.processing.transform.AffineParams
-
- asciiHeader() - Method in interface org.openimaj.io.ReadableASCII
-
Header for ascii input.
- asciiHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableByte
-
- asciiHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableDouble
-
- asciiHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableFloat
-
- asciiHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableInt
-
- asciiHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableLong
-
- asciiHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableShort
-
- asciiHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableString
-
- asciiHeader() - Method in interface org.openimaj.io.WriteableASCII
-
Header for ascii output.
- asciiHeader() - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- asciiHeader() - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- asciiHeader() - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- asciiHeader() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- asciiHeader() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- asciiHeader() - Method in class org.openimaj.math.matrix.ReadWriteableMatrix
-
- asciiHeader() - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.ByteCentroidsResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.DoubleCentroidsResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.FloatCentroidsResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.IndexClusters
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.IntCentroidsResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.kdtree.KDTreeClusters
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.LongCentroidsResult
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- asciiHeader() - Method in class org.openimaj.ml.clustering.ShortCentroidsResult
-
- asciiHeader() - Method in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
- asciiHeader() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- asciiHeader() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeriesCollection
-
- asciiHeader() - Method in class org.openimaj.picslurper.output.WriteableFailedURL
-
- asciiHeader() - Method in class org.openimaj.picslurper.output.WriteableImageOutput
-
- asciiHeader() - Method in class org.openimaj.picslurper.StatusConsumption
-
- asciiHeader() - Method in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF
-
- asciiHeader() - Method in class org.openimaj.tools.imagecollection.collection.config.ImageCollectionConfig
-
- asciiHeader() - Method in class org.openimaj.tools.imagecollection.collection.ImageCollectionConfig
-
- asciiHeader() - Method in class org.openimaj.tools.imagecollection.collection.ImageCollectionState
-
- asciiHeader() - Method in class org.openimaj.twitter.collection.ConvertUSMFList
-
- asciiHeader() - Method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- asciiHeader() - Method in class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
- asciiHeader() - Method in class org.openimaj.twitter.collection.StreamJSONStatusList.ReadableWritableJSON
-
- asciiHeader() - Method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- asciiHeader() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- asciiHeader() - Method in class org.openimaj.twitter.GeneralJSON
-
- asciiHeader() - Method in class org.openimaj.util.array.SparseByteArray
-
- asciiHeader() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- asciiHeader() - Method in class org.openimaj.util.array.SparseFloatArray
-
- asciiHeader() - Method in class org.openimaj.util.array.SparseIntArray
-
- asciiHeader() - Method in class org.openimaj.util.array.SparseLongArray
-
- asciiHeader() - Method in class org.openimaj.util.array.SparseShortArray
-
- asciiHeader() - Method in class org.openimaj.video.tracking.klt.Feature
-
- AsciiInterestPoint - Class in org.openimaj.tools.clusterquantiser
-
Utility functions for reading lowe-style keypoint files and the (similar) files produced by the MSER and oxford tools
- AsciiInterestPoint() - Constructor for class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
- asColumnMajorArray() - Method in class ch.akuhn.matrix.Matrix
-
Get in col-major format
- asDataArray(Q[]) - Method in class org.openimaj.feature.local.list.FileLocalFeatureList
-
- asDataArray(Q[]) - Method in interface org.openimaj.feature.local.list.LocalFeatureList
-
Get the feature-vector data of the list as a two-dimensional array of
data.
- asDataArray(Q[]) - Method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
- asDataArray(Q[]) - Method in class org.openimaj.feature.local.list.StreamLocalFeatureList
-
- asDenseDoubleDouble() - Method in class ch.akuhn.matrix.SparseMatrix
-
Convert to a dense 2d double array
- asDoubleArray() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns the normalised (0..1) sample buffer data as a double array.
- asDoubleArray() - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Returns the normalised (0..1) sample buffer data as a double array.
- asDoubleArray() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Returns the normalised (0..1) sample buffer data as a double array.
- asDoubleArray() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Returns the normalised (0..1) sample buffer data as a double array.
- asDoubleChannelArray() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns the samples in their channels as normalise (0..1) sample buffer
data.
- asDoubleChannelArray() - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Returns the samples in their channels as normalise (0..1) sample buffer
data.
- asDoubleChannelArray() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Returns the samples in their channels as normalise (0..1) sample buffer
data.
- asDoubleChannelArray() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Returns the samples in their channels as normalise (0..1) sample buffer
data.
- asDoubleFV() - Method in class org.openimaj.feature.ByteFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.DoubleFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.EnumFV
-
- asDoubleFV() - Method in interface org.openimaj.feature.FeatureVector
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.FloatFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.IntFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.LongFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.MultidimensionalByteFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.MultidimensionalIntFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.MultidimensionalLongFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.MultidimensionalShortFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.ShortFV
-
Convert the FV to a DoubleFV representation
- asDoubleFV() - Method in class org.openimaj.feature.SparseByteFV
-
- asDoubleFV() - Method in class org.openimaj.feature.SparseDoubleFV
-
- asDoubleFV() - Method in class org.openimaj.feature.SparseFloatFV
-
- asDoubleFV() - Method in class org.openimaj.feature.SparseIntFV
-
- asDoubleFV() - Method in class org.openimaj.feature.SparseLongFV
-
- asDoubleFV() - Method in class org.openimaj.feature.SparseShortFV
-
- asDoubleFV() - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector.EdgeDirectionCoherenceHistogram
-
Get the histogram (coherent followed by incoherent) as a double
vector.
- asDoubleVector() - Method in class org.openimaj.feature.ByteFV
-
Convert the FV to a 1-dimensional double array representation
- asDoubleVector() - Method in class org.openimaj.feature.DoubleFV
-
Convert the FV to a 1-dimensional double array representation
- asDoubleVector() - Method in class org.openimaj.feature.EnumFV
-
- asDoubleVector() - Method in interface org.openimaj.feature.FeatureVector
-
Convert the FV to a 1-dimensional double array representation
- asDoubleVector() - Method in class org.openimaj.feature.FloatFV
-
Convert the FV to a 1-dimensional double array representation
- asDoubleVector() - Method in class org.openimaj.feature.IntFV
-
Convert the FV to a 1-dimensional double array representation
- asDoubleVector() - Method in class org.openimaj.feature.LongFV
-
Convert the FV to a 1-dimensional double array representation
- asDoubleVector() - Method in class org.openimaj.feature.ShortFV
-
Convert the FV to a 1-dimensional double array representation
- asDoubleVector() - Method in class org.openimaj.feature.SparseByteFV
-
- asDoubleVector() - Method in class org.openimaj.feature.SparseDoubleFV
-
- asDoubleVector() - Method in class org.openimaj.feature.SparseFloatFV
-
- asDoubleVector() - Method in class org.openimaj.feature.SparseIntFV
-
- asDoubleVector() - Method in class org.openimaj.feature.SparseLongFV
-
- asDoubleVector() - Method in class org.openimaj.feature.SparseShortFV
-
- asFloatArray() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns the normalised (0..1) sample buffer data as a float array.
- asFloatArray() - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Returns the normalised (0..1) sample buffer data as a float array.
- asFloatArray() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Returns the normalised (0..1) sample buffer data as a float array.
- asFloatArray() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Returns the normalised (0..1) sample buffer data as a float array.
- asFloatChannelArray() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns the samples in their channels as normalise (0..1) sample buffer
data.
- asFloatChannelArray() - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Returns the samples in their channels as normalise (0..1) sample buffer
data.
- asFloatChannelArray() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Returns the samples in their channels as normalise (0..1) sample buffer
data.
- asFloatChannelArray() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Returns the samples in their channels as normalise (0..1) sample buffer
data.
- asGraph(StormTopology) - Static method in class org.openimaj.storm.util.graph.StormGraphCreator
-
- asGraph(StormTopology, StormGraphCreator.NamingStrategy) - Static method in class org.openimaj.storm.util.graph.StormGraphCreator
-
- ASIFT<I extends Image<P,I> & SinglebandImageProcessor.Processable<Float,FImage,I>,P> - Class in org.openimaj.image.feature.local.affine
-
Abstract base implementation of Affine-simulated SIFT (ASIFT).
- ASIFT(boolean) - Constructor for class org.openimaj.image.feature.local.affine.ASIFT
-
- ASIFT(DoGSIFTEngineOptions<I>) - Constructor for class org.openimaj.image.feature.local.affine.ASIFT
-
- asift - Variable in class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
- asift - Variable in class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
- ASIFTEngine - Class in org.openimaj.image.feature.local.engine.asift
-
- ASIFTEngine() - Constructor for class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
Construct using 5 tilt levels and no initial double-sizing.
- ASIFTEngine(boolean) - Constructor for class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
Construct using 5 tilt levels with optional initial double-sizing.
- ASIFTEngine(boolean, int) - Constructor for class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
Construct using given number of tilt levels with optional initial
double-sizing.
- ASIFTEngine(DoGSIFTEngineOptions<FImage>) - Constructor for class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
Construct using 5 tilt levels and the given parameters for the internal
DoGSIFTEngine
.
- ASIFTEngine(DoGSIFTEngineOptions<FImage>, int) - Constructor for class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
Construct using the given numbe of tilt levels and parameters for the
internal
DoGSIFTEngine
.
- asJama(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- asList(Dataset<INSTANCE>) - Static method in class org.openimaj.experiment.dataset.util.DatasetAdaptors
-
Create a
List
view of the given dataset.
- asList() - Method in class org.openimaj.util.set.DisjointSetForest
-
- asMap() - Method in class org.openimaj.text.nlp.language.LanguageDetector.WeightedLocale
-
- asMap() - Method in class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
- asMap() - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- asMap() - Method in interface org.openimaj.text.nlp.sentiment.type.Sentiment
-
- asMap() - Method in class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
- asMap() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- asMat(MLArray) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Convert a matlab MLArray
to a Matrix
- asMatlab(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- asMatrix(int, double, double) - Method in class org.openimaj.audio.filters.MelFilterBank
-
Returns the filters weights as a Matrix, where the rows are the
filters and the columns are the frequencies.
- asMatrixPair(IndependentPair<Map<String, Map<String, Double>>, Map<String, Double>>, int, int, int) - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
Given a sparse pair of user/words and value construct a pair of matricies
using the current mappings of words and users to matrix rows.
- asMatrixPair(IndependentPair<Map<String, Map<String, Double>>, Map<String, Double>>) - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- asMatrixPair(Map<String, Map<String, Double>>, Map<String, Double>) - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- asMultidimensionalDoubleFV() - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector.EdgeDirectionCoherenceHistogram
-
Get the histogram as a multidimensional vector, where the coherent
and incoherent histograms occupy different dimensions.
- asPImage(MBFImage) - Method in class org.openimaj.processing.OpenIMAJ
-
- asPoint() - Method in class org.openimaj.vis.ternary.TernaryPlot.TernaryData
-
- asPolygon() - Method in class org.openimaj.math.geometry.shape.Circle
-
- asPolygon() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- asPolygon() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Convert the shape to a polygon representation
- asPolygon() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- asPolygon() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- asPolygon() - Method in interface org.openimaj.math.geometry.shape.Shape
-
Convert the shape to a polygon representation
- asPolygon() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- asPolyline() - Method in class org.openimaj.math.geometry.line.Line2d
-
- asPolyline() - Method in interface org.openimaj.math.geometry.path.Path2d
-
Convert the path to a polyline representation
- asPolyline() - Method in class org.openimaj.math.geometry.path.Polyline
-
- asReference() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
- assertInvariant() - Method in class ch.akuhn.matrix.DenseMatrix
-
- assertInvariant() - Method in class ch.akuhn.matrix.SymmetricMatrix
-
- assertInvariant() - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
- assign(DATATYPE[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ConstrainedFloatAssigner
-
- assign(DATATYPE) - Method in class org.openimaj.ml.clustering.assignment.hard.ConstrainedFloatAssigner
-
- assign(byte[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactByteAssigner
-
- assign(byte[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactByteAssigner
-
- assign(double[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactDoubleAssigner
-
- assign(double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactDoubleAssigner
-
- assign(T[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFeatureVectorAssigner
-
- assign(T) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFeatureVectorAssigner
-
- assign(float[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFloatAssigner
-
- assign(float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFloatAssigner
-
- assign(int[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactIntAssigner
-
- assign(int[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactIntAssigner
-
- assign(long[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactLongAssigner
-
- assign(long[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactLongAssigner
-
- assign(short[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactShortAssigner
-
- assign(short[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactShortAssigner
-
- assign(byte[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner
-
- assign(byte[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner
-
- assign(double[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner
-
- assign(double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner
-
- assign(float[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner
-
- assign(float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner
-
- assign(int[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner
-
- assign(int[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner
-
- assign(long[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner
-
- assign(long[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner
-
- assign(short[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner
-
- assign(short[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner
-
- assign(byte[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeByteEuclideanAssigner
-
- assign(byte[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeByteEuclideanAssigner
-
- assign(double[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeDoubleEuclideanAssigner
-
- assign(double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeDoubleEuclideanAssigner
-
- assign(float[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeFloatEuclideanAssigner
-
- assign(float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeFloatEuclideanAssigner
-
- assign(int[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeIntEuclideanAssigner
-
- assign(int[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeIntEuclideanAssigner
-
- assign(long[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeLongEuclideanAssigner
-
- assign(long[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeLongEuclideanAssigner
-
- assign(short[][]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeShortEuclideanAssigner
-
- assign(short[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeShortEuclideanAssigner
-
- assign(DATATYPE[]) - Method in interface org.openimaj.ml.clustering.assignment.HardAssigner
-
Assign data to a cluster.
- assign(DATATYPE) - Method in interface org.openimaj.ml.clustering.assignment.HardAssigner
-
Assign a single point to a cluster.
- assign(byte[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
- assign(byte[]) - Method in class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
- assign(double[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
- assign(double[]) - Method in class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
- assign(float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
- assign(float[]) - Method in class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
- assign(byte[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalBytePathAssigner
-
- assign(byte[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalBytePathAssigner
-
- assign(double[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalDoublePathAssigner
-
- assign(double[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalDoublePathAssigner
-
- assign(float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalFloatPathAssigner
-
- assign(float[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalFloatPathAssigner
-
- assign(int[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalIntPathAssigner
-
- assign(int[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalIntPathAssigner
-
- assign(long[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalLongPathAssigner
-
- assign(long[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalLongPathAssigner
-
- assign(short[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalShortPathAssigner
-
- assign(short[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalShortPathAssigner
-
- assign(int[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
- assign(int[]) - Method in class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
- assign(long[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
- assign(long[]) - Method in class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
- assign(short[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
- assign(short[]) - Method in class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
- assign(DATATYPE[]) - Method in interface org.openimaj.ml.clustering.assignment.SoftAssigner
-
Assign data to clusters.
- assign(DATATYPE) - Method in interface org.openimaj.ml.clustering.assignment.SoftAssigner
-
Assign a single point to some clusters.
- assign(int[][]) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- assign(int[]) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- assign(int[][]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- assign(int[]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- assignBufferedImage(BufferedImage, I) - Static method in class org.openimaj.image.ImageUtilities
-
- assignDistance(DATATYPE[], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ConstrainedFloatAssigner
-
- assignDistance(DATATYPE) - Method in class org.openimaj.ml.clustering.assignment.hard.ConstrainedFloatAssigner
-
- assignDistance(byte[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactByteAssigner
-
- assignDistance(byte[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactByteAssigner
-
- assignDistance(double[][], int[], double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactDoubleAssigner
-
- assignDistance(double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactDoubleAssigner
-
- assignDistance(T[], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFeatureVectorAssigner
-
- assignDistance(T) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFeatureVectorAssigner
-
- assignDistance(float[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFloatAssigner
-
- assignDistance(float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFloatAssigner
-
- assignDistance(int[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactIntAssigner
-
- assignDistance(int[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactIntAssigner
-
- assignDistance(long[][], int[], double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactLongAssigner
-
- assignDistance(long[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactLongAssigner
-
- assignDistance(short[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactShortAssigner
-
- assignDistance(short[]) - Method in class org.openimaj.ml.clustering.assignment.hard.ExactShortAssigner
-
- assignDistance(byte[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner
-
- assignDistance(byte[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner
-
- assignDistance(double[][], int[], double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner
-
- assignDistance(double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner
-
- assignDistance(float[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner
-
- assignDistance(float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner
-
- assignDistance(int[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner
-
- assignDistance(int[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner
-
- assignDistance(long[][], int[], double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner
-
- assignDistance(long[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner
-
- assignDistance(short[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner
-
- assignDistance(short[]) - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner
-
- assignDistance(byte[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeByteEuclideanAssigner
-
- assignDistance(byte[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeByteEuclideanAssigner
-
- assignDistance(double[][], int[], double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeDoubleEuclideanAssigner
-
- assignDistance(double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeDoubleEuclideanAssigner
-
- assignDistance(float[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeFloatEuclideanAssigner
-
- assignDistance(float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeFloatEuclideanAssigner
-
- assignDistance(int[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeIntEuclideanAssigner
-
- assignDistance(int[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeIntEuclideanAssigner
-
- assignDistance(long[][], int[], double[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeLongEuclideanAssigner
-
- assignDistance(long[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeLongEuclideanAssigner
-
- assignDistance(short[][], int[], float[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeShortEuclideanAssigner
-
- assignDistance(short[]) - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeShortEuclideanAssigner
-
- assignDistance(DATATYPE[], int[], DISTANCES) - Method in interface org.openimaj.ml.clustering.assignment.HardAssigner
-
Assign data to clusters.
- assignDistance(DATATYPE) - Method in interface org.openimaj.ml.clustering.assignment.HardAssigner
-
Assign a single point to a cluster.
- assignDistance(int[][], int[], float[]) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- assignDistance(int[]) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- assignDistance(int[][], int[], float[]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- assignDistance(int[]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- Assigner<DATATYPE> - Interface in org.openimaj.ml.clustering.assignment
-
Super interface for all assigners.
- assigners - Variable in class org.openimaj.knn.pq.ByteProductQuantiser
-
- assigners - Variable in class org.openimaj.knn.pq.DoubleProductQuantiser
-
- assigners - Variable in class org.openimaj.knn.pq.FloatProductQuantiser
-
- assigners - Variable in class org.openimaj.knn.pq.IntProductQuantiser
-
- assigners - Variable in class org.openimaj.knn.pq.LongProductQuantiser
-
- assigners - Variable in class org.openimaj.knn.pq.ShortProductQuantiser
-
- assigners - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalBytePathAssigner
-
- assigners - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalDoublePathAssigner
-
- assigners - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalFloatPathAssigner
-
- assigners - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalIntPathAssigner
-
- assigners - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalLongPathAssigner
-
- assigners - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalShortPathAssigner
-
- assignLetters(int[][]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
Push each data point provided to a set of letters, i.e.
- assignments - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
The assignments of the training data to clusters
- assignOri(int, int, float, float) - Method in class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
- assignWeighted(byte[][], int[][], float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
- assignWeighted(byte[]) - Method in class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
- assignWeighted(double[][], int[][], double[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
- assignWeighted(double[]) - Method in class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
- assignWeighted(float[][], int[][], float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
- assignWeighted(float[]) - Method in class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
- assignWeighted(byte[][], int[][], float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalBytePathAssigner
-
- assignWeighted(byte[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalBytePathAssigner
-
- assignWeighted(double[][], int[][], double[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalDoublePathAssigner
-
- assignWeighted(double[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalDoublePathAssigner
-
- assignWeighted(float[][], int[][], float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalFloatPathAssigner
-
- assignWeighted(float[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalFloatPathAssigner
-
- assignWeighted(int[][], int[][], float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalIntPathAssigner
-
- assignWeighted(int[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalIntPathAssigner
-
- assignWeighted(long[][], int[][], double[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalLongPathAssigner
-
- assignWeighted(long[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalLongPathAssigner
-
- assignWeighted(short[][], int[][], float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalShortPathAssigner
-
- assignWeighted(short[]) - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalShortPathAssigner
-
- assignWeighted(int[][], int[][], float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
- assignWeighted(int[]) - Method in class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
- assignWeighted(long[][], int[][], double[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
- assignWeighted(long[]) - Method in class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
- assignWeighted(short[][], int[][], float[][]) - Method in class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
- assignWeighted(short[]) - Method in class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
- assignWeighted(DATATYPE[], int[][], DISTANCES[]) - Method in interface org.openimaj.ml.clustering.assignment.SoftAssigner
-
Assign data to clusters.
- assignWeighted(DATATYPE) - Method in interface org.openimaj.ml.clustering.assignment.SoftAssigner
-
Assign a single point to some clusters.
- assignWord(int[]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
Push a single data point to a set of letters, return the letters as word.
- asSparseColumn(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- asSparseRow(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Convert a Matrix
to a SparseRowMatrix
- AsyncClient(TProtocolFactory, TAsyncClientManager, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- ATandTDataset - Class in org.openimaj.image.processing.face.recognition.benchmarking.dataset
-
A Dataset for Our Database of Faces/The ORL Face Database/The AT&T Face
database.
- ATandTDataset() - Constructor for class org.openimaj.image.processing.face.recognition.benchmarking.dataset.ATandTDataset
-
Construct the dataset.
- ATandTDataset(File) - Constructor for class org.openimaj.image.processing.face.recognition.benchmarking.dataset.ATandTDataset
-
Construct with the given path to the dataset
- attachment - Variable in class orgrdfs.sioc.ns.ItemImpl
-
The URI of a file attached to an Item.
- Audio - Class in org.openimaj.audio
-
An abstract class representing some form of audio data.
- Audio() - Constructor for class org.openimaj.audio.Audio
-
- AudioAnnotator - Class in org.openimaj.audio
-
A classifier/annotator for audio frames.
- AudioAnnotator() - Constructor for class org.openimaj.audio.AudioAnnotator
-
- AudioAnnotator.AudioAnnotatorType - Enum in org.openimaj.audio
-
An enumeration that allows different trainers to be used and specified on
the command-line.
- AudioConverter - Class in org.openimaj.audio.conversion
-
A class that will work out which processors to instantiate to provide
with a complete conversion from one audio format to another.
- AudioConverter(AudioStream, AudioFormat) - Constructor for class org.openimaj.audio.conversion.AudioConverter
-
Chainable constructor that takes the stream to chain and the
output format to convert the stream to.
- AudioConverter(AudioFormat, AudioFormat) - Constructor for class org.openimaj.audio.conversion.AudioConverter
-
Constructor that takes the input and output formats.
- AudioDatasetHelper - Class in org.openimaj.audio.analysis.benchmarking
-
A class for helping to deal with datasets of audio information.
- AudioDatasetHelper() - Constructor for class org.openimaj.audio.analysis.benchmarking.AudioDatasetHelper
-
- AudioDevice - Class in org.openimaj.audio
-
Represents an audio device and its capabilities.
- AudioDevice(String, String) - Constructor for class org.openimaj.audio.AudioDevice
-
Create a new audio device.
- audioEnded() - Method in class org.openimaj.audio.AudioEventAdapter
-
Called when the audio stream reaches the end.
- audioEnded() - Method in interface org.openimaj.audio.AudioEventListener
-
Called when the audio stream reaches the end.
- AudioEventAdapter - Class in org.openimaj.audio
-
An adapter for audio events that has no implementation.
- AudioEventAdapter() - Constructor for class org.openimaj.audio.AudioEventAdapter
-
- AudioEventListener - Interface in org.openimaj.audio
-
An interface for events that may occur during audio streaming.
- AudioFormat - Class in org.openimaj.audio
-
This class encapsulates the information that determines the format
of audio data.
- AudioFormat(int, double, int) - Constructor for class org.openimaj.audio.AudioFormat
-
Construct a new audio format object with the
given number of bits and sample rate.
- AudioFramePlot - Class in org.openimaj.vis.audio
-
Allows the drawing of frames of audio onto an interactive line chart (JFreeChart XY plot).
- AudioFramePlot() - Constructor for class org.openimaj.vis.audio.AudioFramePlot
-
- AudioGrabber - Class in org.openimaj.audio
-
An abstract class for objects that are able to act as audio grabbers.
- AudioGrabber() - Constructor for class org.openimaj.audio.AudioGrabber
-
- AudioGrabberListener - Interface in org.openimaj.audio
-
An interface for objects that wish to be informed that samples are available
from an
AudioGrabber
.
- audioHeight - Variable in class org.openimaj.vis.video.VideoBarVisualisation
-
The height to plot the audio
- AudioLooper - Class in org.openimaj.audio
-
A class used to force a specific number of loops of an audio stream.
- AudioLooper(AudioStream, int) - Constructor for class org.openimaj.audio.AudioLooper
-
Create a new looper that will loop the given stream the given number
of times.
- AudioLooper(AudioStream, int, boolean) - Constructor for class org.openimaj.audio.AudioLooper
-
Create a new looper that will loop the given stream the given number
of times.
- AudioMixer - Class in org.openimaj.audio
-
A basic audio mixer that takes a number of
AudioStream
s and mixes
then with some gain compensation into a single audio stream.
- AudioMixer(AudioFormat) - Constructor for class org.openimaj.audio.AudioMixer
-
Default constructor that takes the format for the samples.
- AudioMixer.MixEventListener - Interface in org.openimaj.audio
-
A listener for objects that wish to be informed of a mix event.
- AudioOverviewGenerator(int, int) - Constructor for class org.openimaj.vis.audio.AudioOverviewVisualisation.AudioOverviewGenerator
-
Constructor
- AudioOverviewVisualisation - Class in org.openimaj.vis.audio
-
Utilises an audio processor to plot the audio waveform to an image.
- AudioOverviewVisualisation(AudioStream) - Constructor for class org.openimaj.vis.audio.AudioOverviewVisualisation
-
Default constructor
- AudioOverviewVisualisation.AudioOverviewGenerator - Class in org.openimaj.vis.audio
-
Generates an audio overview.
- AudioPlay - Class in org.openimaj.workinprogress.audio
-
- AudioPlay() - Constructor for class org.openimaj.workinprogress.audio.AudioPlay
-
- AudioPlayer - Class in org.openimaj.audio
-
Wraps the Java Sound APIs into the OpenIMAJ audio core for playing sounds.
- AudioPlayer(AudioStream) - Constructor for class org.openimaj.audio.AudioPlayer
-
Default constructor that takes an audio stream to play.
- AudioPlayer(AudioStream, String) - Constructor for class org.openimaj.audio.AudioPlayer
-
Play the given stream to a specific device.
- AudioPlayer.Mode - Enum in org.openimaj.audio
-
Enumerator for the current state of the audio player.
- AudioProcessor - Class in org.openimaj.audio.processor
-
An interface for objects that are able to process audio sample data.
- AudioProcessor() - Constructor for class org.openimaj.audio.processor.AudioProcessor
-
A default constructor for processing sample chunks or files in an ad-hoc
manner.
- AudioProcessor(AudioStream) - Constructor for class org.openimaj.audio.processor.AudioProcessor
-
Construct a new processor based on the given stream.
- AudioSpectrogram - Class in org.openimaj.vis.audio
-
A spectrogram visualisation that scrolls the audio visualisation as the audio
is processed.
- AudioSpectrogram() - Constructor for class org.openimaj.vis.audio.AudioSpectrogram
-
Create a spectrogram that can be added to as and when it's necessary.
- AudioSpectrogram(int, int) - Constructor for class org.openimaj.vis.audio.AudioSpectrogram
-
Construct a visualisation of the given size
- AudioSpectrogram.SpectrogramCompleteListener - Interface in org.openimaj.vis.audio
-
A listener for when the spectrogram has completed processing.
- AudioStream - Class in org.openimaj.audio
-
Represents an audio stream that can be read chunk-by-chunk.
- AudioStream() - Constructor for class org.openimaj.audio.AudioStream
-
- AudioTest - Class in org.openimaj.workinprogress.audio
-
- AudioTest() - Constructor for class org.openimaj.workinprogress.audio.AudioTest
-
- AudioTimecode - Class in org.openimaj.audio.timecode
-
A basic audio timecode that represents the number of milliseconds from
the start of the audio file.
- AudioTimecode(long) - Constructor for class org.openimaj.audio.timecode.AudioTimecode
-
Default constructor that takes the number of milliseconds
into the audio file.
- AudioUtils - Class in org.openimaj.audio.util
-
Various static methods for dealing with audio information and data.
- AudioUtils() - Constructor for class org.openimaj.audio.util.AudioUtils
-
- AudioVideoSlide - Class in org.openimaj.content.slideshow
-
Slide with audio and video
- AudioVideoSlide(URL, VideoDisplay.EndAction) - Constructor for class org.openimaj.content.slideshow.AudioVideoSlide
-
- AudioWaveform - Class in org.openimaj.vis.audio
-
A visualisation for signals.
- AudioWaveform(int, int) - Constructor for class org.openimaj.vis.audio.AudioWaveform
-
Create an audio waveform display of the given width and height
- AudioWaveform(VisualisationImpl<?>) - Constructor for class org.openimaj.vis.audio.AudioWaveform
-
Create an audio waveform that overlays the given visualisation.
- AudioWaveformDemo - Class in org.openimaj.docs.tutorial.fund.audio
-
An example that demonstrates getting audio from a file (or URL) and
displaying the waveform.
- AudioWaveformDemo() - Constructor for class org.openimaj.docs.tutorial.fund.audio.AudioWaveformDemo
-
- augmentDocument(Document) - Static method in class org.openimaj.web.readability.Readability
-
Iterates through all the ELEMENT nodes in a document and gives them ids
if they don't already have them.
- AustrianWordExperiments - Class in org.openimaj.ml.linear.experiments.sinabill
-
- AustrianWordExperiments() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.AustrianWordExperiments
-
- author() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The name(s) of the author(s)
- autoPredicate - Variable in class org.openimaj.rdf.serialize.RDFSerializer
-
Whether to try to create predicates for unannotated fields
- avatar - Variable in class org.openimaj.twitter.USMFStatus.User
-
Direct href to avatar image
- avatar - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
An image or depiction used to represent this UserAccount.
- AverageBoxFilter - Class in org.openimaj.image.processing.convolution
-
A rectangular averaging convolution operator (often known as a Box filter).
- AverageBoxFilter(int, int) - Constructor for class org.openimaj.image.processing.convolution.AverageBoxFilter
-
Construct the averaging operator with a kernel of the given dimensions.
- AverageBoxFilter(int) - Constructor for class org.openimaj.image.processing.convolution.AverageBoxFilter
-
Construct the averaging operator with a square kernel of the given
dimension.
- averageBrightness - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
-
- AverageBrightnessExtractor - Class in org.openimaj.tools.globalfeature.type
-
Average brightness
- AverageBrightnessExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.AverageBrightnessExtractor
-
- averagePrecision() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
Returns the average precision of the query.
- AvgBrightness - Class in org.openimaj.image.feature.global
-
Extract the average brightness of an image.
- AvgBrightness() - Constructor for class org.openimaj.image.feature.global.AvgBrightness
-
Construct with the NTSC_LUMINANCE mode and no mask set
- AvgBrightness(AvgBrightness.Mode) - Constructor for class org.openimaj.image.feature.global.AvgBrightness
-
Construct with the given mode and no mask set
- AvgBrightness(AvgBrightness.Mode, FImage) - Constructor for class org.openimaj.image.feature.global.AvgBrightness
-
Construct with the given mode and a mask.
- AvgBrightness.Mode - Enum in org.openimaj.image.feature.global
-
Modes for computing brightness.
- ax - Variable in class org.openimaj.hardware.compass.CompassData
-
ax
- ax() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- ax(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- axes - Variable in class org.openimaj.image.feature.local.interest.EllipticKeyPoint
-
- AxesRenderer2D<Q,I extends Image<Q,I>> - Class in org.openimaj.vis.general
-
TODO: javadoc
- AxesRenderer2D() - Constructor for class org.openimaj.vis.general.AxesRenderer2D
-
Default constructor
- axesRenderer2D - Variable in class org.openimaj.vis.general.XYPlotVisualisation
-
The renderer for the axes
- AxesRenderer3D - Class in org.openimaj.vis.general
-
A class for generating X, Y and Z axes in a 3D visualisation and providing
data unit transformations.
- AxesRenderer3D() - Constructor for class org.openimaj.vis.general.AxesRenderer3D
-
- AxisConfig<Q> - Class in org.openimaj.vis.general
-
Configuration for an axis.
- AxisConfig() - Constructor for class org.openimaj.vis.general.AxisConfig
-
- AxisConfig.AxisRenderingConfig<Q> - Class in org.openimaj.vis.general
-
- axisLength - Variable in class org.openimaj.vis.general.AxisRenderer2D
-
Desired size of the axis in pixels
- AxisRenderer<T> - Class in org.openimaj.image.processor.connectedcomponent.render
-
A component renderer that will draw into the given image the principle
axes of the connected component.
- AxisRenderer(Image<T, ?>, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.AxisRenderer
-
Default constructor that takes an image to draw into and a colour
in which to draw the axes.
- AxisRenderer(int, int, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.AxisRenderer
-
Constructor that creates an image of the given size and a colour
in which to draw the axes.
- AxisRenderer<Q> - Class in org.openimaj.vis.general
-
A general axis renderer that can be used for rendering an axis into a visualisation.
- AxisRenderer() - Constructor for class org.openimaj.vis.general.AxisRenderer
-
- AxisRenderer2D<Q> - Class in org.openimaj.vis.general
-
- AxisRenderer2D() - Constructor for class org.openimaj.vis.general.AxisRenderer2D
-
Default constructor
- AxisRenderer2D(AxisConfig<Q>) - Constructor for class org.openimaj.vis.general.AxisRenderer2D
-
Constructor to set the config
- AxisRenderer3D - Class in org.openimaj.vis.general
-
A class for drawing rulers in a 3D world.
- AxisRenderer3D() - Constructor for class org.openimaj.vis.general.AxisRenderer3D
-
Default constructor sets some default axis values
- AxisRenderingConfig() - Constructor for class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- ay - Variable in class org.openimaj.hardware.compass.CompassData
-
ay
- ay() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- ay(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- az - Variable in class org.openimaj.hardware.compass.CompassData
-
az
- b - Variable in class org.openimaj.lsh.functions.BytePStableFactory.PStableFunction
-
- b - Variable in class org.openimaj.lsh.functions.DoublePStableFactory.PStableFunction
-
- b - Variable in class org.openimaj.lsh.functions.FloatPStableFactory.PStableFunction
-
- b - Variable in class org.openimaj.lsh.functions.IntPStableFactory.PStableFunction
-
- b - Variable in class org.openimaj.lsh.functions.LongPStableFactory.PStableFunction
-
- b - Variable in class org.openimaj.lsh.functions.ShortPStableFactory.PStableFunction
-
- b - Variable in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
- back_comp1() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- back_comp1(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- back_comp2() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- back_comp2(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- BackgroundEstimator - Class in org.openimaj.workinprogress
-
- BackgroundEstimator() - Constructor for class org.openimaj.workinprogress.BackgroundEstimator
-
- BackgroundSubtractor - Class in org.openimaj.workinprogress
-
- BackgroundSubtractor() - Constructor for class org.openimaj.workinprogress.BackgroundSubtractor
-
- backtype.storm.scheme - package backtype.storm.scheme
-
- backtype.storm.spout - package backtype.storm.spout
-
- BagOfVisualWords<T> - Class in org.openimaj.image.feature.local.aggregate
-
Implementation of an object capable of extracting basic (hard-assignment) Bag
of Visual Words (BoVW) representations of an image given a list of local
features and an
HardAssigner
with an associated codebook.
- BagOfVisualWords(HardAssigner<T, ?, ?>) - Constructor for class org.openimaj.image.feature.local.aggregate.BagOfVisualWords
-
Construct with the given assigner.
- BagOfWordsFeatureExtractor - Class in org.openimaj.feature
-
An extractor which gives
SparseFloatFV
instances for a list of words.
- BagOfWordsFeatureExtractor(List<String>) - Constructor for class org.openimaj.feature.BagOfWordsFeatureExtractor
-
A set of words which are used for their index and therefore feature
vector entry of a given word.
- BAND - Static variable in class org.openimaj.image.processing.restoration.inpainting.AbstractFMMInpainter
-
Flag for pixels on the boundary
- bands - Variable in class org.openimaj.image.MultiBandImage
-
The images for each band in a list
- bandSizeKnown(int) - Method in class org.openimaj.vis.general.DiversityAxis
-
Called once the band size has been calculated
- bandSizeKnown(int) - Method in class org.openimaj.vis.timeline.Timeline
-
Called once the band size has been calculated
- Bar(double, double, double, Float[]) - Constructor for class org.openimaj.vis.general.BarVisualisation.Bar
-
Default constructor
- barColour - Variable in class org.openimaj.vis.video.VideoBarVisualisation
-
The background colour of the bar
- BarVisualisation - Class in org.openimaj.vis.general
-
The
BarVisualisation
can be used to draw to an image a bar graph of
any data set to an RGBA MBFImage.
- BarVisualisation(int, int) - Constructor for class org.openimaj.vis.general.BarVisualisation
-
Create a bar visualisation of the given size
- BarVisualisation(int, int, double[]) - Constructor for class org.openimaj.vis.general.BarVisualisation
-
Creates the given visualisation with the given data
- BarVisualisation.Bar - Class in org.openimaj.vis.general
-
Represents a single bar to draw.
- BarVisualisation3D - Class in org.openimaj.vis.general
-
Plots oneOverDataLength bars in oneOverDataLength 3-dimensional space, which means there are 2 dimensions for
representing the coordinate of oneOverDataLength bar.
- BarVisualisation3D(int, int) - Constructor for class org.openimaj.vis.general.BarVisualisation3D
-
- BarVisualisationBasic - Class in org.openimaj.vis.general
-
The basic bar visualisation that can be used to draw a bar graph of
any data set to an RGBA MBFImage.
- BarVisualisationBasic(int, int) - Constructor for class org.openimaj.vis.general.BarVisualisationBasic
-
Create a bar visualisation of the given size
- BarVisualisationBasic(MBFImage) - Constructor for class org.openimaj.vis.general.BarVisualisationBasic
-
Create a bar visualisation that will draw to the given image.
- BarVisualisationBasic(VisualisationImpl<?>) - Constructor for class org.openimaj.vis.general.BarVisualisationBasic
-
Overlay a bar visualisation on the given vis
- BarVisualisationBasic(int, int, double[]) - Constructor for class org.openimaj.vis.general.BarVisualisationBasic
-
Creates the given visualisation with the given data
- Base(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Constructor for class org.openimaj.math.geometry.transforms.FundamentalRefinement.Base
-
- base_count - Static variable in class org.openimaj.web.flickr.FlickrBaseEncoder
-
- BaseExtractorOptions - Class in org.openimaj.tools.localfeature.options
-
Options for the Extractor tool
- BaseExtractorOptions() - Constructor for class org.openimaj.tools.localfeature.options.BaseExtractorOptions
-
- baseLocation - Variable in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
- BaseTwitterRichBolt - Class in org.openimaj.storm.tools.twitter.bolts
-
- BaseTwitterRichBolt() - Constructor for class org.openimaj.storm.tools.twitter.bolts.BaseTwitterRichBolt
-
- Basic() - Constructor for class org.openimaj.image.feature.local.engine.ipd.FinderMode.Basic
-
- BASIC - Static variable in enum org.openimaj.image.objectdetection.haar.training.HaarFeatureType
-
- BasicASIFT - Class in org.openimaj.image.feature.local.affine
-
Standard implementation of Affine-simulated SIFT (ASIFT) for
FImage
s.
- BasicASIFT(boolean) - Constructor for class org.openimaj.image.feature.local.affine.BasicASIFT
-
Construct the ASIFT extractor using the default parameters for the
DoGSIFTEngine
, with the exception of the option to double the
size of the initial image which can be overridden.
- BasicASIFT(DoGSIFTEngineOptions<FImage>) - Constructor for class org.openimaj.image.feature.local.affine.BasicASIFT
-
- BasicBackgroundSubtract<I extends Image<?,I>> - Class in org.openimaj.image.processing.background
-
Basic background subtraction
- BasicBackgroundSubtract() - Constructor for class org.openimaj.image.processing.background.BasicBackgroundSubtract
-
Default constructor
- BasicBackgroundSubtract(I) - Constructor for class org.openimaj.image.processing.background.BasicBackgroundSubtract
-
Default constructor
- BasicClassificationResult<CLASS> - Class in org.openimaj.experiment.evaluation.classification
-
A basic implementation of a
ClassificationResult
that internally
maintains a map of classes to confidences.
- BasicClassificationResult() - Constructor for class org.openimaj.experiment.evaluation.classification.BasicClassificationResult
-
Construct with a default threshold of 0.
- BasicClassificationResult(double) - Constructor for class org.openimaj.experiment.evaluation.classification.BasicClassificationResult
-
Construct with the given threshold.
- BasicDerivativeKernels - Class in org.openimaj.image.processing.convolution
-
A set of standard derivative kernels.
- BasicDerivativeKernels() - Constructor for class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
- BasicDescriptiveStatisticsModel - Class in org.openimaj.image.pixel.statistics
-
A model of the all the values of the pixels in an image or set of images,
using basic descriptive statistics (mean, mode, median, range, variance).
- BasicDescriptiveStatisticsModel(int) - Constructor for class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
-
Construct a BasicDescriptiveStatisticsModel with the given
number of dimensions.
- BasicDuplicateImageDatabase<T> - Class in org.openimaj.demos
-
An in-memory image duplicate database.
- BasicDuplicateImageDatabase() - Constructor for class org.openimaj.demos.BasicDuplicateImageDatabase
-
- BasicGridSIFTEngine - Class in org.openimaj.image.feature.local.engine
-
Really basic SIFT extraction on a regular grid of interest points.
- BasicGridSIFTEngine(boolean) - Constructor for class org.openimaj.image.feature.local.engine.BasicGridSIFTEngine
-
Default constructor.
- BasicGridSIFTEngine(boolean, DoGSIFTEngineOptions<FImage>) - Constructor for class org.openimaj.image.feature.local.engine.BasicGridSIFTEngine
-
Construct with the given parameters.
- BasicIRCStreamDataset - Class in org.openimaj.stream.provider.irc
-
Basic streaming dataset from IRC messages.
- BasicIRCStreamDataset(String, String) - Constructor for class org.openimaj.stream.provider.irc.BasicIRCStreamDataset
-
Connect to the given host and channel.
- BasicIRCStreamDataset(BlockingDroppingQueue<Context>, String, String) - Constructor for class org.openimaj.stream.provider.irc.BasicIRCStreamDataset
-
Construct with the given buffer, connecting to the given host and
channel.
- BasicLocalBinaryPattern - Class in org.openimaj.image.feature.dense.binarypattern
-
Implementation of the original 3x3 form of a local binary pattern.
- BasicLocalBinaryPattern() - Constructor for class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
-
- BasicMatcher<T extends LocalFeature<?,?>> - Class in org.openimaj.feature.local.matcher
-
Basic local feature matcher.
- BasicMatcher(int) - Constructor for class org.openimaj.feature.local.matcher.BasicMatcher
-
Initialise the matcher setting the threshold which the difference between the
scores of the top two best matches must differ in order to count the first as
a good match.
- BasicMBFImageObjectTracker - Class in org.openimaj.video.processing.tracking
-
A tracker that will track one rectangular region using the KLTTracker from
MBFImages.
- BasicMBFImageObjectTracker() - Constructor for class org.openimaj.video.processing.tracking.BasicMBFImageObjectTracker
-
- BasicMedianSplit() - Constructor for class org.openimaj.util.tree.ByteKDTree.BasicMedianSplit
-
Construct with the default maximum number of items per bucket
- BasicMedianSplit(int) - Constructor for class org.openimaj.util.tree.ByteKDTree.BasicMedianSplit
-
Construct with the given maximum number of items per bucket
- BasicMedianSplit() - Constructor for class org.openimaj.util.tree.DoubleKDTree.BasicMedianSplit
-
Construct with the default maximum number of items per bucket
- BasicMedianSplit(int) - Constructor for class org.openimaj.util.tree.DoubleKDTree.BasicMedianSplit
-
Construct with the given maximum number of items per bucket
- BasicMedianSplit() - Constructor for class org.openimaj.util.tree.FloatKDTree.BasicMedianSplit
-
Construct with the default maximum number of items per bucket
- BasicMedianSplit(int) - Constructor for class org.openimaj.util.tree.FloatKDTree.BasicMedianSplit
-
Construct with the given maximum number of items per bucket
- BasicMedianSplit() - Constructor for class org.openimaj.util.tree.IntKDTree.BasicMedianSplit
-
Construct with the default maximum number of items per bucket
- BasicMedianSplit(int) - Constructor for class org.openimaj.util.tree.IntKDTree.BasicMedianSplit
-
Construct with the given maximum number of items per bucket
- BasicMedianSplit() - Constructor for class org.openimaj.util.tree.LongKDTree.BasicMedianSplit
-
Construct with the default maximum number of items per bucket
- BasicMedianSplit(int) - Constructor for class org.openimaj.util.tree.LongKDTree.BasicMedianSplit
-
Construct with the given maximum number of items per bucket
- BasicMedianSplit() - Constructor for class org.openimaj.util.tree.ShortKDTree.BasicMedianSplit
-
Construct with the default maximum number of items per bucket
- BasicMedianSplit(int) - Constructor for class org.openimaj.util.tree.ShortKDTree.BasicMedianSplit
-
Construct with the given maximum number of items per bucket
- BasicMusicTimekeeper - Class in org.openimaj.audio.util
-
- BasicMusicTimekeeper() - Constructor for class org.openimaj.audio.util.BasicMusicTimekeeper
-
- BasicObjectTracker - Class in org.openimaj.video.processing.tracking
-
A tracker that will track one rectangular region using the KLTTracker.
- BasicObjectTracker() - Constructor for class org.openimaj.video.processing.tracking.BasicObjectTracker
-
Default constructor that will use 50 features and an accuracy of 0.5.
- BasicObjectTracker(int) - Constructor for class org.openimaj.video.processing.tracking.BasicObjectTracker
-
Default constructor that takes the number of features to be used.
- BasicObjectTracker(double) - Constructor for class org.openimaj.video.processing.tracking.BasicObjectTracker
-
Constructor that takes the accuracy to use for tracking.
- BasicObjectTracker(int, double) - Constructor for class org.openimaj.video.processing.tracking.BasicObjectTracker
-
Constructor that takes the number of features to use and the accuracy
for tracking.
- BasicOctaveExtremaFinder - Class in org.openimaj.image.feature.local.detector.pyramid
-
- BasicOctaveExtremaFinder() - Constructor for class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
- BasicOctaveExtremaFinder(float) - Constructor for class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
- BasicOctaveExtremaFinder(float, float) - Constructor for class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
Construct with the given magnitude and Eigenvalue thresholds
- BasicOctaveGridFinder<OCTAVE extends Octave<?,?,IMAGE>,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.feature.local.detector.pyramid
-
- BasicOctaveGridFinder() - Constructor for class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveGridFinder
-
- BasicQuantisedKeypointMatcher<T extends QuantisedLocalFeature<?>> - Class in org.openimaj.feature.local.matcher.quantised
-
Simple matcher for quantised features.
- BasicQuantisedKeypointMatcher(boolean) - Constructor for class org.openimaj.feature.local.matcher.quantised.BasicQuantisedKeypointMatcher
-
Match quantised keypoints
- BasicShapeDescriptor - Class in org.openimaj.image.connectedcomponent.proc
-
Basic descriptors of the shape of a connected component.
- BasicShapeDescriptor() - Constructor for class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
- BasicShapeDescriptor.BasicShapeDescriptorType - Enum in org.openimaj.image.connectedcomponent.proc
-
An enum of all the different basic shape descriptors.
- BasicTrainingData - Class in org.openimaj.image.objectdetection.haar.training
-
- BasicTrainingData(List<SummedSqTiltAreaTable>, List<SummedSqTiltAreaTable>, List<HaarFeature>) - Constructor for class org.openimaj.image.objectdetection.haar.training.BasicTrainingData
-
- BasicTwoWayMatcher<T extends LocalFeature<?,?>> - Class in org.openimaj.feature.local.matcher
-
Matcher that uses minimum Euclidean distance to find matches.
- BasicTwoWayMatcher() - Constructor for class org.openimaj.feature.local.matcher.BasicTwoWayMatcher
-
- BasicVideoTimeKeeper(boolean) - Constructor for class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Default constructor
- basis - Variable in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
- BATCH_SIZE - Static variable in class backtype.storm.spout.KestrelThriftSpout
-
- BatchAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation
-
An
Annotator
that is trained in "batch" mode; all training examples
are presented at once.
- BatchAnnotator() - Constructor for class org.openimaj.ml.annotation.BatchAnnotator
-
- BatchExtractor - Class in org.openimaj.tools.localfeature
-
Tool for extracting local features
- BatchExtractor() - Constructor for class org.openimaj.tools.localfeature.BatchExtractor
-
- BatchExtractorOptions - Class in org.openimaj.tools.localfeature.options
-
- BatchExtractorOptions() - Constructor for class org.openimaj.tools.localfeature.options.BatchExtractorOptions
-
- batchSize - Variable in class org.openimaj.workinprogress.optimisation.SGD
-
- BatchTrainer<T> - Interface in org.openimaj.ml.training
-
Interface describing objects capable of performing
training in "batch" mode; all training examples are
presented at once.
- BBFMedianSplit() - Constructor for class org.openimaj.util.tree.ByteKDTree.BBFMedianSplit
-
Construct with the default maximum number of items per bucket
- BBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.ByteKDTree.BBFMedianSplit
-
Construct with the given maximum number of items per bucket
- BBFMedianSplit() - Constructor for class org.openimaj.util.tree.DoubleKDTree.BBFMedianSplit
-
Construct with the default maximum number of items per bucket
- BBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.DoubleKDTree.BBFMedianSplit
-
Construct with the given maximum number of items per bucket
- BBFMedianSplit() - Constructor for class org.openimaj.util.tree.FloatKDTree.BBFMedianSplit
-
Construct with the default maximum number of items per bucket
- BBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.FloatKDTree.BBFMedianSplit
-
Construct with the given maximum number of items per bucket
- BBFMedianSplit() - Constructor for class org.openimaj.util.tree.IntKDTree.BBFMedianSplit
-
Construct with the default maximum number of items per bucket
- BBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.IntKDTree.BBFMedianSplit
-
Construct with the given maximum number of items per bucket
- BBFMedianSplit() - Constructor for class org.openimaj.util.tree.LongKDTree.BBFMedianSplit
-
Construct with the default maximum number of items per bucket
- BBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.LongKDTree.BBFMedianSplit
-
Construct with the given maximum number of items per bucket
- BBFMedianSplit() - Constructor for class org.openimaj.util.tree.ShortKDTree.BBFMedianSplit
-
Construct with the default maximum number of items per bucket
- BBFMedianSplit(int) - Constructor for class org.openimaj.util.tree.ShortKDTree.BBFMedianSplit
-
Construct with the given maximum number of items per bucket
- bct - Variable in class org.openimaj.workinprogress.LOCKY
-
- bean - Variable in class org.kohsuke.args4j.spi.AbstractGetter
-
- BEAT_RTIME - Static variable in class org.openimaj.audio.analysis.BeatDetector
-
Release time of envelope detector in seconds
- beatDetected() - Method in class org.openimaj.audio.analysis.BeatDetector
-
Returns whether a beat was detected within this sample chunk.
- BeatDetector - Class in org.openimaj.audio.analysis
-
A beat detector that uses a 2nd order LP filter, followed by an envelope
detector (thanks Bram), feeding a Schmitt trigger.
- BeatDetector(AudioFormat) - Constructor for class org.openimaj.audio.analysis.BeatDetector
-
Default constructor
- BeatDetector(AudioStream) - Constructor for class org.openimaj.audio.analysis.BeatDetector
-
Chainable constructor
- BeatDetector(AudioStream, AudioFormat) - Constructor for class org.openimaj.audio.analysis.BeatDetector
-
Chainable constructor.
- beatsPerMeasure - Variable in class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Most western music is in four-time
- BED - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Bottom edge
- beforeAxesRender(MBFImage, AxesRenderer2D<Float[], MBFImage>) - Method in class org.openimaj.vis.general.DiversityAxis
-
A method that can be overridden to plot something prior to the axes being
drawn.
- beforeAxesRender(MBFImage, AxesRenderer2D<Float[], MBFImage>) - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
A method that can be overridden to plot something prior to the axes being
drawn.
- beforeAxesRender(MBFImage, AxesRenderer2D<Float[], MBFImage>) - Method in class org.openimaj.vis.world.WorldMap
-
A method that can be overridden to plot something prior to the axes being
drawn.
- beforeBatchTrain(GroupedDataset<PERSON, ListDataset<FACE>, FACE>) - Method in class org.openimaj.image.processing.face.recognition.EigenFaceRecogniser
-
- beforeBatchTrain(GroupedDataset<PERSON, ListDataset<FACE>, FACE>) - Method in class org.openimaj.image.processing.face.recognition.FisherFaceRecogniser
-
- beforePlay(SampleChunk) - Method in interface org.openimaj.audio.AudioEventListener
-
Called before a sample chunk has been played.
- beforeProcess(OCTAVE) - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
Called at the start of
AbstractOctaveExtremaFinder#process(OCTAVE)
- beforeProcess(GaussianOctave<FImage>) - Method in class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
- beforeUpdate(MBFImage) - Method in class org.openimaj.content.slideshow.VideoSlide
-
- beforeUpdate(I) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Called when the video is about to update
- beforeUpdate(T) - Method in class org.openimaj.video.VideoDisplayAdapter
-
Called when the video is about to update
- beforeUpdate(T) - Method in interface org.openimaj.video.VideoDisplayListener
-
Called when the video is about to update
- beforeUpdate(T) - Method in class org.openimaj.video.VideoPlayer.VideoPlayerComponent.ButtonsPanel
-
- begin - Variable in class org.openimaj.math.geometry.line.Line2d
-
Start point of line
- begin() - Method in class org.openimaj.math.geometry.line.Line2d
-
- begin() - Method in interface org.openimaj.math.geometry.path.Path2d
-
Get the beginning of the path
- begin() - Method in class org.openimaj.math.geometry.path.Polyline
-
- BellFilter - Class in org.openimaj.image.processing.resize.filters
-
Bell (quadratic) filter for the resample function.
- BellFilter() - Constructor for class org.openimaj.image.processing.resize.filters.BellFilter
-
- BELOW - Static variable in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
BELOW
- benchmarkComplexForward_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkComplexForward_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- benchmarkComplexForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkComplexForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- benchmarkComplexForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkComplexForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- benchmarkComplexForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkComplexForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- benchmarkComplexForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkComplexForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- BenchmarkDoubleDCT - Class in edu.emory.mathcs.jtransforms.dct
-
Benchmark of double precision DCT's
- BenchmarkDoubleDHT - Class in edu.emory.mathcs.jtransforms.dht
-
Benchmark of double precision DHT's
- BenchmarkDoubleDST - Class in edu.emory.mathcs.jtransforms.dst
-
Benchmark of double precision DST's
- BenchmarkDoubleFFT - Class in edu.emory.mathcs.jtransforms.fft
-
Benchmark of double precision FFT's
- BenchmarkFloatDCT - Class in edu.emory.mathcs.jtransforms.dct
-
Benchmark of single precision DCT's
- BenchmarkFloatDHT - Class in edu.emory.mathcs.jtransforms.dht
-
Benchmark of single precision DHT's
- BenchmarkFloatDST - Class in edu.emory.mathcs.jtransforms.dst
-
Benchmark of single precision DST's
- BenchmarkFloatFFT - Class in edu.emory.mathcs.jtransforms.fft
-
Benchmark of single precision FFT's
- benchmarkForward_1D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkDoubleDCT
-
- benchmarkForward_1D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkFloatDCT
-
- benchmarkForward_1D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkDoubleDHT
-
- benchmarkForward_1D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkFloatDHT
-
- benchmarkForward_1D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkDoubleDST
-
- benchmarkForward_1D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkFloatDST
-
- benchmarkForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkDoubleDCT
-
- benchmarkForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkFloatDCT
-
- benchmarkForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkDoubleDHT
-
- benchmarkForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkFloatDHT
-
- benchmarkForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkDoubleDST
-
- benchmarkForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkFloatDST
-
- benchmarkForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkDoubleDCT
-
- benchmarkForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkFloatDCT
-
- benchmarkForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkDoubleDHT
-
- benchmarkForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkFloatDHT
-
- benchmarkForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkDoubleDST
-
- benchmarkForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkFloatDST
-
- benchmarkForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkDoubleDCT
-
- benchmarkForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkFloatDCT
-
- benchmarkForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkDoubleDHT
-
- benchmarkForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkFloatDHT
-
- benchmarkForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkDoubleDST
-
- benchmarkForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkFloatDST
-
- benchmarkForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkDoubleDCT
-
- benchmarkForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkFloatDCT
-
- benchmarkForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkDoubleDHT
-
- benchmarkForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkFloatDHT
-
- benchmarkForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkDoubleDST
-
- benchmarkForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkFloatDST
-
- benchmarkRealForward_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkRealForward_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- benchmarkRealForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkRealForward_2D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- benchmarkRealForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkRealForward_2D_input_2D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- benchmarkRealForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkRealForward_3D_input_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- benchmarkRealForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- benchmarkRealForward_3D_input_3D() - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- bestCols(Eigenvalues) - Method in class org.openimaj.ml.clustering.spectral.PreparedSpectralClustering
-
- BestFitStoppingCondition() - Constructor for class org.openimaj.math.model.fit.RANSAC.BestFitStoppingCondition
-
- bestModel - Variable in class org.openimaj.math.model.fit.LMedS
-
- bestModelInliers - Variable in class org.openimaj.math.model.fit.RANSAC
-
- bestModelOutliers - Variable in class org.openimaj.math.model.fit.RANSAC
-
- bestSubGraph - Variable in class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph
-
- BG_COLOUR - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- bgThreshold - Variable in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- BH - Static variable in class org.openimaj.math.geometry.shape.util.polygon.HState
-
Bottom horizontal edge
- BIAS - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
whether a bias component is added to w and u.
- bias - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- bias - Variable in class org.openimaj.ml.linear.learner.loss.LossFunction
-
- bias - Variable in class org.openimaj.ml.linear.learner.matlib.loss.LossFunction
-
- bias - Variable in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- BIASINITSTRAT - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
The initialisation strategy for BIAS.
- biasMode - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- biasMode - Variable in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- BibtexToReference - Class in org.openimaj.citation.annotation.input
-
Helper tool to convert bibtex to
Reference
annotations.
- BibtexToReference() - Constructor for class org.openimaj.citation.annotation.input.BibtexToReference
-
- BICONVEX_MAXITER - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
The maximum number of iterations in the biconvex iterative stage.
- BICONVEX_TOL - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
The threshold of the ratio between the (sum(new_w - old_w) + sum(new_u -
old_u)) / (sum(old_u) + sum(old_w)) i.e.
- BiconvexDataGenerator - Class in org.openimaj.ml.linear.data
-
Data generated from a biconvex system of the form:
Y_n,t = U_:,t^T .
- BiconvexDataGenerator() - Constructor for class org.openimaj.ml.linear.data.BiconvexDataGenerator
-
Generates a biconvex data generator.
- BiconvexDataGenerator(int, int, int, double, double, boolean, boolean, int, double) - Constructor for class org.openimaj.ml.linear.data.BiconvexDataGenerator
-
- BiconvexIncrementalDataGenerator - Class in org.openimaj.ml.linear.data
-
- BiconvexIncrementalDataGenerator(int, int, int, double, double, boolean, boolean, int, double) - Constructor for class org.openimaj.ml.linear.data.BiconvexIncrementalDataGenerator
-
- bicubicInterp(double, double, double[][]) - Static method in class org.openimaj.math.util.Interpolation
-
Bicubic interpolation of the value at x,y where 0<=x<=1 and 0<=y<=1 given
the values at integer coordinates from (-1,-1) to (3,3).
- bicubicInterp(float, float, float[][]) - Static method in class org.openimaj.math.util.Interpolation
-
Bicubic interpolation of the value at x,y where 0<=x<=1 and 0<=y<=1 given
the values at integer coordinates from (-1,-1) to (3,3).
- BicubicInterpolation - Class in org.openimaj.image.processing.resize
-
Bi-cubic interpolation to resize images.
- BicubicInterpolation(int, int, float) - Constructor for class org.openimaj.image.processing.resize.BicubicInterpolation
-
Construct a new bicubic interpolator.
- bigStep - Variable in class org.openimaj.image.objectdetection.haar.Detector
-
- bigStep() - Method in class org.openimaj.image.objectdetection.haar.Detector
-
Get the step size the detector will make if there is definitely no
detection.
- bigStep(int) - Method in class org.openimaj.image.objectdetection.haar.Detector
-
Set the step size the detector will make if there is definitely no
detection.
- bilerp(double, double, double, double, double, double) - Static method in class org.openimaj.math.util.Interpolation
-
Bilinear interpolation of the value at x,y where 0<=x<=1 and 0<=y<=1
given the values at (0,0), (0,1), (1,0) and (1,1).
- bilerp(float, float, float, float, float, float) - Static method in class org.openimaj.math.util.Interpolation
-
Bilinear interpolation of the value at x,y where 0<=x<=1 and 0<=y<=1
given the values at (0,0), (0,1), (1,0) and (1,1).
- bilerpf(float, float, float, float, float, float) - Static method in class org.openimaj.math.util.Interpolation
-
Bilinear interpolation of the value at x,y where 0<=x<=1 and 0<=y<=1
given the values at (0,0), (0,1), (1,0) and (1,1).
- BilinearEvaluator - Class in org.openimaj.ml.linear.evaluation
-
- BilinearEvaluator() - Constructor for class org.openimaj.ml.linear.evaluation.BilinearEvaluator
-
- BilinearExperiment - Class in org.openimaj.ml.linear.experiments.sinabill
-
- BilinearExperiment() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- BilinearInterpolation - Class in org.openimaj.image.processing.resize
-
Simple bi-linear interpolation to resize images.
- BilinearInterpolation(int, int, float) - Constructor for class org.openimaj.image.processing.resize.BilinearInterpolation
-
Construct a new bilinear interpolator.
- BilinearLearnerParameters - Class in org.openimaj.ml.linear.learner
-
- BilinearLearnerParameters() - Constructor for class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
sets up the defaults
- BilinearLearnerParametersLineSearch - Class in org.openimaj.ml.linear.experiments.sinabill
-
- BilinearLearnerParametersLineSearch(BilinearLearnerParameters) - Constructor for class org.openimaj.ml.linear.experiments.sinabill.BilinearLearnerParametersLineSearch
-
Set the base paramters.
- BilinearSparseFISTALearner - Class in org.openimaj.ml.linear.learner
-
- BilinearSparseFISTALearner(BilinearLearnerParameters) - Constructor for class org.openimaj.ml.linear.learner.BilinearSparseFISTALearner
-
- BilinearSparseFISTALearner() - Constructor for class org.openimaj.ml.linear.learner.BilinearSparseFISTALearner
-
- BilinearSparseOnlineLearner - Class in org.openimaj.ml.linear.learner
-
An implementation of a stochastic gradient decent with proximal perameter adjustment
(for regularised parameters).
- BilinearSparseOnlineLearner() - Constructor for class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
The default parameters.
- BilinearSparseOnlineLearner(BilinearLearnerParameters) - Constructor for class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- BilinearUnmixedSparseOnlineLearner - Class in org.openimaj.ml.linear.learner
-
An implementation of a stochastic gradient decent with proximal parameter
adjustment (for regularised parameters).
- BilinearUnmixedSparseOnlineLearner() - Constructor for class org.openimaj.ml.linear.learner.BilinearUnmixedSparseOnlineLearner
-
- BillAustrianDampeningExperiments - Class in org.openimaj.ml.linear.experiments.sinabill
-
- BillAustrianDampeningExperiments() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.BillAustrianDampeningExperiments
-
- BillAustrianExperiments - Class in org.openimaj.ml.linear.experiments.sinabill
-
- BillAustrianExperiments() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.BillAustrianExperiments
-
- BillAustrianExperimentsNormalised - Class in org.openimaj.ml.linear.experiments.sinabill
-
- BillAustrianExperimentsNormalised() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.BillAustrianExperimentsNormalised
-
- BillMatlabFileDataGenerator - Class in org.openimaj.ml.linear.data
-
Read data from bill's matlab file format
- BillMatlabFileDataGenerator(File, int, boolean) - Constructor for class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator
-
- BillMatlabFileDataGenerator(File, String, File, int, boolean) - Constructor for class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator
-
- BillMatlabFileDataGenerator(File, String, File, int, boolean, List<BillMatlabFileDataGenerator.Fold>) - Constructor for class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator
-
- BillMatlabFileDataGenerator.Fold - Class in org.openimaj.ml.linear.data
-
- BillMatlabFileDataGenerator.Mode - Enum in org.openimaj.ml.linear.data
-
The modes
- BillMPQASentiment - Class in org.openimaj.text.nlp.sentiment
-
- BillMPQASentiment() - Constructor for class org.openimaj.text.nlp.sentiment.BillMPQASentiment
-
- BillWordInvestigation - Class in org.openimaj.ml.linear.experiments.sinabill
-
- BillWordInvestigation() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.BillWordInvestigation
-
- Binarize - Class in org.openimaj.tools.similaritymatrix.modes
-
- Binarize() - Constructor for class org.openimaj.tools.similaritymatrix.modes.Binarize
-
- binary - Variable in class org.openimaj.hadoop.tools.globalfeature.HadoopGlobalFeaturesOptions
-
- BINARY_HEADER - Static variable in interface org.openimaj.feature.local.list.LocalFeatureList
-
The header used when writing LocalFeatureLists to streams and files
- BINARY_HEADER - Static variable in class org.openimaj.feature.local.list.LocalFeatureListIndex
-
The header used when writing LocalFeatureListIndex to streams and files
- binaryHeader() - Method in class org.openimaj.feature.ByteFV
-
- binaryHeader() - Method in class org.openimaj.feature.DoubleFV
-
- binaryHeader() - Method in class org.openimaj.feature.EnumFV
-
- binaryHeader() - Method in class org.openimaj.feature.FloatFV
-
- binaryHeader() - Method in class org.openimaj.feature.IntFV
-
- binaryHeader() - Method in class org.openimaj.feature.local.FloatLocalFeatureAdaptor
-
- binaryHeader() - Method in class org.openimaj.feature.local.list.FileLocalFeatureList
-
- binaryHeader() - Method in class org.openimaj.feature.local.list.LocalFeatureListIndex
-
- binaryHeader() - Method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
- binaryHeader() - Method in class org.openimaj.feature.local.list.StreamLocalFeatureList
-
- binaryHeader() - Method in class org.openimaj.feature.local.LocalFeatureImpl
-
- binaryHeader() - Method in class org.openimaj.feature.local.quantised.QuantisedLocalFeature
-
- binaryHeader() - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- binaryHeader() - Method in class org.openimaj.feature.local.SpatialLocation
-
- binaryHeader() - Method in class org.openimaj.feature.LongFV
-
- binaryHeader() - Method in class org.openimaj.feature.MultidimensionalByteFV
-
- binaryHeader() - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
- binaryHeader() - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
- binaryHeader() - Method in class org.openimaj.feature.MultidimensionalIntFV
-
- binaryHeader() - Method in class org.openimaj.feature.MultidimensionalLongFV
-
- binaryHeader() - Method in class org.openimaj.feature.MultidimensionalShortFV
-
- binaryHeader() - Method in class org.openimaj.feature.ShortFV
-
- binaryHeader() - Method in class org.openimaj.feature.SparseByteFV
-
- binaryHeader() - Method in class org.openimaj.feature.SparseDoubleFV
-
- binaryHeader() - Method in class org.openimaj.feature.SparseFloatFV
-
- binaryHeader() - Method in class org.openimaj.feature.SparseIntFV
-
- binaryHeader() - Method in class org.openimaj.feature.SparseLongFV
-
- binaryHeader() - Method in class org.openimaj.feature.SparseShortFV
-
- binaryHeader() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder
-
- binaryHeader() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency
-
- binaryHeader() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- binaryHeader() - Method in class org.openimaj.hadoop.tools.twitter.utils.TimeperiodTweetCountWordCount
-
- binaryHeader() - Method in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
- binaryHeader() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
- binaryHeader() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- binaryHeader() - Method in class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
- binaryHeader() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- binaryHeader() - Method in class org.openimaj.image.feature.local.keypoints.KeypointLocation
-
- binaryHeader() - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
- binaryHeader() - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
- binaryHeader() - Method in class org.openimaj.image.model.EigenImages
-
- binaryHeader() - Method in class org.openimaj.image.model.FisherImages
-
- binaryHeader() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
- binaryHeader() - Method in class org.openimaj.image.pixel.Pixel
-
- binaryHeader() - Method in class org.openimaj.image.pixel.PixelSet
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.alignment.AffineAligner
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.alignment.IdentityAligner
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.alignment.RotateScaleAligner
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.alignment.ScalingAligner
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.CCDetectedFace
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.CLMFaceDetector
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.IdentityFaceDetector
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.keypoints.KEDetectedFace
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.CLMPoseFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.CLMPoseFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.CLMShapeFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.CLMShapeFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.comparison.FaceFVComparator
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.comparison.LtpDtFeatureComparator
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.comparison.ReversedLtpDtFeatureComparator
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.DoGSIFTFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.DoGSIFTFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.EigenFaceFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.EigenFaceFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.FaceImageFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.FaceImageFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature.DetectedFacePart
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.FisherFaceFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.FisherFaceFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.LocalLBPHistogram
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.LocalLBPHistogram.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.ltp.AbstractLtpDtFeature
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.ltp.GaussianWeighting
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.ltp.LtpDtFeature.Extractor
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.feature.ltp.TruncatedWeighting
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- binaryHeader() - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- binaryHeader() - Method in class org.openimaj.image.processing.transform.AffineParams
-
- binaryHeader() - Method in interface org.openimaj.io.ReadableBinary
-
Header for binary input.
- binaryHeader() - Method in class org.openimaj.io.wrappers.Readable2DArrayBinary
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadableArrayBinary
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadableListBinary
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadableMapBinary
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWritableIndependentPair
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableByte
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableDouble
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableFloat
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableInt
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableListBinary
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableLong
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableShort
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.ReadWriteableString
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.Writeable2DArrayBinary
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.WriteableArrayBinary
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.WriteableListBinary
-
- binaryHeader() - Method in class org.openimaj.io.wrappers.WriteableMapBinary
-
- binaryHeader() - Method in interface org.openimaj.io.WriteableBinary
-
Header for binary output.
- binaryHeader() - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- binaryHeader() - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- binaryHeader() - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- binaryHeader() - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- binaryHeader() - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- binaryHeader() - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- binaryHeader() - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- binaryHeader() - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- binaryHeader() - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- binaryHeader() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- binaryHeader() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- binaryHeader() - Method in class org.openimaj.math.matrix.ReadWriteableMatrix
-
- binaryHeader() - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.ByteCentroidsResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.DoubleCentroidsResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.FloatCentroidsResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.IndexClusters
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.IntCentroidsResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.kdtree.KDTreeClusters
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.LongCentroidsResult
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- binaryHeader() - Method in class org.openimaj.ml.clustering.ShortCentroidsResult
-
- binaryHeader() - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- binaryHeader() - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- binaryHeader() - Method in class org.openimaj.picslurper.output.WriteableFailedURL
-
- binaryHeader() - Method in class org.openimaj.picslurper.output.WriteableImageOutput
-
- binaryHeader() - Method in class org.openimaj.picslurper.StatusConsumption
-
- binaryHeader() - Method in class org.openimaj.text.nlp.language.LanguageModel
-
- binaryHeader() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
- binaryHeader() - Method in class org.openimaj.twitter.collection.ConvertUSMFList
-
- binaryHeader() - Method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- binaryHeader() - Method in class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
- binaryHeader() - Method in class org.openimaj.twitter.collection.StreamJSONStatusList.ReadableWritableJSON
-
- binaryHeader() - Method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- binaryHeader() - Method in class org.openimaj.twitter.GeneralJSON
-
- binaryHeader() - Method in class org.openimaj.util.array.SparseByteArray
-
- binaryHeader() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- binaryHeader() - Method in class org.openimaj.util.array.SparseFloatArray
-
- binaryHeader() - Method in class org.openimaj.util.array.SparseIntArray
-
- binaryHeader() - Method in class org.openimaj.util.array.SparseLongArray
-
- binaryHeader() - Method in class org.openimaj.util.array.SparseShortArray
-
- binaryHeader() - Method in class org.openimaj.video.tracking.klt.Feature
-
- binaryPreference() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
The binary preference measure, as presented in Buckley, Voorhees
"Retrieval Evaluation with Incomplete Information", SIGIR 2004.
- BinaryReader<IMAGE> - Interface in org.openimaj.image.annotation.evaluation.datasets.cifar
-
Interface for reader objects that convert a raw CIFAR style binary record
into an image (or some other format)
- BingAPIToken - Class in org.openimaj.util.api.auth.common
-
An authentication token for the Bing Search API.
- BingAPIToken() - Constructor for class org.openimaj.util.api.auth.common.BingAPIToken
-
Construct an empty token.
- BingAPIToken(String) - Constructor for class org.openimaj.util.api.auth.common.BingAPIToken
-
Construct a token with the given account key.
- BingImageDataset<IMAGE extends Image<?,IMAGE>> - Class in org.openimaj.image.dataset
-
Image datasets dynamically created from the Bing search API.
- BingImageDataset(InputStreamObjectReader<IMAGE>, List<BingImageDataset.ImageDataSourceResponse>, BingImageDataset.ImageDataSourceQuery) - Constructor for class org.openimaj.image.dataset.BingImageDataset
-
- BingImageDataset.ImageDataSourceQuery - Class in org.openimaj.image.dataset
-
- BingImageDataset.ImageDataSourceQuery.Aspect - Enum in org.openimaj.image.dataset
-
- BingImageDataset.ImageDataSourceQuery.Color - Enum in org.openimaj.image.dataset
-
- BingImageDataset.ImageDataSourceQuery.Freshness - Enum in org.openimaj.image.dataset
-
- BingImageDataset.ImageDataSourceQuery.ImageContent - Enum in org.openimaj.image.dataset
-
Filter images by content
- BingImageDataset.ImageDataSourceQuery.ImageType - Enum in org.openimaj.image.dataset
-
Filter images by image type.
- BingImageDataset.ImageDataSourceQuery.License - Enum in org.openimaj.image.dataset
-
- BingImageDataset.ImageDataSourceQuery.SafeSearch - Enum in org.openimaj.image.dataset
-
- BingImageDataset.ImageDataSourceQuery.Size - Enum in org.openimaj.image.dataset
-
- BingImageDataset.ImageDataSourceResponse - Class in org.openimaj.image.dataset
-
- binHeight - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Height of a single bin of the sampling window (in pixels).
- binMap - Variable in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- BinnedWindowedExtractor - Class in org.openimaj.image.analysis.algorithm.histogram
-
This class implements a
WindowedHistogramExtractor
with the primary
purpose of of producing efficient access to histograms of arbitrary windows
of the image.
- BinnedWindowedExtractor(int) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Construct with the given number of bins.
- BinnedWindowedExtractor(int, float, float) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Construct with the given number of bins, and range.
- binsPerBand - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
- binWidth - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Width of a single bin of the sampling window (in pixels).
- bipolar() - Method in interface org.openimaj.text.nlp.sentiment.type.BipolarSentimentProvider
-
- bipolar(double) - Method in interface org.openimaj.text.nlp.sentiment.type.BipolarSentimentProvider
-
- bipolar() - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- bipolar(double) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- bipolar() - Method in class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
- bipolar(double) - Method in class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
- bipolar(TFF.Clue) - Static method in class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
- bipolar() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- bipolar(double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- BipolarSentiment - Class in org.openimaj.text.nlp.sentiment.type
-
Encapsulate a simple sentiment that something is positive, negative or
neutral.
- BipolarSentiment() - Constructor for class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
- BipolarSentiment(BipolarSentiment.State) - Constructor for class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
Instantiate the sentiment
- BipolarSentiment.State - Enum in org.openimaj.text.nlp.sentiment.type
-
The states of a bipolar sentiment
- BipolarSentimentProvider - Interface in org.openimaj.text.nlp.sentiment.type
-
A sentiment which can be collapsed into a
BipolarSentiment
which is either positive or negative
- BitDepthConverter - Class in org.openimaj.audio.conversion
-
An audio processor that converts the bit-depth of an audio stream.
- BitDepthConverter(BitDepthConverter.BitDepthConversionAlgorithm, AudioFormat) - Constructor for class org.openimaj.audio.conversion.BitDepthConverter
-
Default constructor that takes the input conversion
- BitDepthConverter(AudioStream, BitDepthConverter.BitDepthConversionAlgorithm, AudioFormat) - Constructor for class org.openimaj.audio.conversion.BitDepthConverter
-
Chainable constructor.
- BitDepthConverter.BitDepthConversionAlgorithm - Enum in org.openimaj.audio.conversion
-
An enumerator of the different bit-depth conversion algorithms
available.
- bitLength() - Method in class org.openimaj.lsh.sketch.BitSetLSHSketcher
-
Get the length of the sketch in bits.
- bitLength() - Method in class org.openimaj.lsh.sketch.ByteLSHSketcher
-
Get the length of the sketch in bits.
- bitLength() - Method in class org.openimaj.lsh.sketch.IntLSHSketcher
-
Get the length of the sketch in bits.
- bitLength() - Method in class org.openimaj.lsh.sketch.LongLSHSketcher
-
Get the length of the sketch in bits.
- bitLength() - Method in class org.openimaj.lsh.sketch.ShortLSHSketcher
-
Get the length of the sketch in bits.
- BitSetLSHSketcher<OBJECT> - Class in org.openimaj.lsh.sketch
-
- BitSetLSHSketcher(List<HashFunction<OBJECT>>) - Constructor for class org.openimaj.lsh.sketch.BitSetLSHSketcher
-
Construct with the given functions.
- BitSetLSHSketcher(HashFunction<OBJECT>, HashFunction<OBJECT>...) - Constructor for class org.openimaj.lsh.sketch.BitSetLSHSketcher
-
Construct with the given functions.
- BitSetLSHSketcher(HashFunctionFactory<OBJECT>, int) - Constructor for class org.openimaj.lsh.sketch.BitSetLSHSketcher
-
Construct with the factory which is used to produce the required number
of functions.
- BLACK - Static variable in class org.openimaj.image.colour.RGBColour
-
Black colour as RGB
- BLACKLIST_TIME_MS - Static variable in class backtype.storm.spout.KestrelThriftSpout
-
- BlackmanFilter - Class in org.openimaj.image.processing.resize.filters
-
Blackman window function interpolation filter for the resample function
- BlackmanFilter() - Constructor for class org.openimaj.image.processing.resize.filters.BlackmanFilter
-
- bLearnRate - Variable in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
- BlobExtractorRenderer<T> - Class in org.openimaj.image.processor.connectedcomponent.render
-
Renders the pixels from one image into the given image based on
the connected components.
- BlobExtractorRenderer(Image<T, ?>, Image<T, ?>) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.BlobExtractorRenderer
-
Default constructor that takes the image to draw into and the image to
copy from.
- BlobExtractorRenderer(int, int, Image<T, ?>) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.BlobExtractorRenderer
-
Default constructor that takes the image to draw into and the image to
copy from.
- BlobRenderer<T> - Class in org.openimaj.image.processor.connectedcomponent.render
-
Draws the connected components as coloured blobs into the given image.
- BlobRenderer(Image<T, ?>, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.BlobRenderer
-
Default constructor that takes the image to draw into and
the colour in which to draw the blobs.
- BlobRenderer(int, int, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.BlobRenderer
-
Default constructor creates the image to draw into and takes
the colour in which to draw the blobs.
- BLOCK_3x3 - Static variable in class org.openimaj.image.processing.algorithm.FilterSupport
-
Offsets for using a 3x3 blocked shaped mask to select pixels for
computing median.
- BlockHistogramModel - Class in org.openimaj.image.pixel.statistics
-
An array of multidimensional histograms calculated from image pixels
(assumes image is in 0-1 range)
- BlockHistogramModel(int, int, int...) - Constructor for class org.openimaj.image.pixel.statistics.BlockHistogramModel
-
Construct with the given parameters
- BlockingDroppingBufferedStream<T> - Class in org.openimaj.util.stream
-
- BlockingDroppingBufferedStream(BlockingDroppingQueue<T>) - Constructor for class org.openimaj.util.stream.BlockingDroppingBufferedStream
-
Construct with the given backing queue
- BlockingDroppingQueue<E> - Interface in org.openimaj.util.concurrent
-
A
Queue
that additionally supports operations that wait for the queue
to become non-empty when retrieving an element, and drop the oldest element
from the queue when storing a new element if space is not available for the
new element.
- blockSize - Variable in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
The size of processing blocks for each thread
- blocksize_x - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram
-
- blocksize_y - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram
-
- BlockSpatialAggregator<T,AGGREGATE extends FeatureVector & Concatenatable<AGGREGATE,AGGREGATE>> - Class in org.openimaj.image.feature.local.aggregate
-
- BlockSpatialAggregator(VectorAggregator<ArrayFeatureVector<T>, AGGREGATE>, int, int) - Constructor for class org.openimaj.image.feature.local.aggregate.BlockSpatialAggregator
-
Construct with the given aggregator and number of blocks in the X and Y
dimensions.
- blocksX - Variable in class org.openimaj.image.feature.local.aggregate.BlockSpatialAggregator
-
- blocksY - Variable in class org.openimaj.image.feature.local.aggregate.BlockSpatialAggregator
-
- Bloom - Class in org.openimaj.ml.sketch.bloom
-
The bloom sketch as described by
http://lkozma.net/blog/sketching-data-structures/
- Bloom(int, int) - Constructor for class org.openimaj.ml.sketch.bloom.Bloom
-
- BLUE - Static variable in class org.openimaj.image.colour.RGBColour
-
Blue colour as RGB
- booktitle() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The title of the book, if only part of it is being cited
- BorderFact - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
- borderPixels - Variable in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Number of pixels of border for processors to ignore.
- BorderRenderer<T> - Class in org.openimaj.image.processor.connectedcomponent.render
-
Draws the border of the connected component into the given image.
- BorderRenderer(Image<T, ?>, T, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.BorderRenderer
-
Default constructor that takes the image to draw into, the colour
to draw the boundary and the connect mode to use to extract the
boundary.
- BorderRenderer(int, int, T, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.BorderRenderer
-
Constructor that creates the image to draw into, and takes the colour
to draw the boundary and the connect mode to use to extract the
boundary.
- borderSkip - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- bot - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Edge lower (x, y) coordinate
- bottomRightMostPixel() - Method in class org.openimaj.image.pixel.PixelSet
-
Gets the bottom-right most pixel in the connected component.
- BoundaryDistanceDescriptor - Class in org.openimaj.image.connectedcomponent.proc
-
Distance-from-centroid descriptor for convex shapes.
- BoundaryDistanceDescriptor() - Constructor for class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
-
Construct the BoundaryDistanceDescriptor with both scale and
orientation normalisation enabled
- BoundaryDistanceDescriptor(boolean, boolean) - Constructor for class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
-
Construct the BoundaryDistanceDescriptor with optional scale and
orientation invariance.
- boundaryExtension - Variable in class org.openimaj.image.feature.global.Gist
-
The amount of padding to add before convolving with the Gabor functions
- BoundedPriorityQueue<T> - Class in org.openimaj.util.queue
-
- BoundedPriorityQueue(int, Comparator<? super T>) - Constructor for class org.openimaj.util.queue.BoundedPriorityQueue
-
Creates a BoundedPriorityQueue
with the specified initial
capacity that orders its elements according to the inverse of the
specified comparator.
- BoundedPriorityQueue(int) - Constructor for class org.openimaj.util.queue.BoundedPriorityQueue
-
Creates a
BoundedPriorityQueue
with the specified initial
capacity that orders its elements according to their inverse
natural ordering.
- BoundedTreeSet<T> - Class in org.openimaj.util.set
-
Extension of a
TreeSet
that has a bounded upper size.
- BoundedTreeSet(int) - Constructor for class org.openimaj.util.set.BoundedTreeSet
-
Constructs a new, empty tree set, sorted according to the
natural ordering of its elements.
- BoundedTreeSet(int, Comparator<? super T>) - Constructor for class org.openimaj.util.set.BoundedTreeSet
-
Constructs a new, empty tree set, sorted according to the specified
comparator.
- BoundingBoxRenderer<T> - Class in org.openimaj.image.processor.connectedcomponent.render
-
Renders the bounding box into the image.
- BoundingBoxRenderer(Image<T, ?>, T, boolean) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.BoundingBoxRenderer
-
Default constructor that takes the image to draw into and the colour
in which to draw the bounding box.
- BoundingBoxRenderer(int, int, T, boolean) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.BoundingBoxRenderer
-
Constructor that creates an image to draw into and takes the colour
in which to draw the bounding box.
- bounds - Variable in class org.openimaj.image.processing.face.detection.DetectedFace
-
The upright bounds of the face in the image in which it was detected
- bounds - Variable in class org.openimaj.image.processing.face.feature.DoGSIFTFeature
-
- BOX - Static variable in class org.openimaj.image.processing.morphology.StructuringElement
-
Standard 3x3 box structuring element
- BoxConstraint(double) - Constructor for class org.openimaj.math.geometry.shape.PointDistributionModel.BoxConstraint
-
Construct with the given multiplier of the standard deviation.
- BoxFilter - Class in org.openimaj.image.processing.resize.filters
-
Box filter for the resampling function
- BoxFilter() - Constructor for class org.openimaj.image.processing.resize.filters.BoxFilter
-
- boxMode - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
- bpm - Variable in class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Number of beats per minute
- bresenham(Pixel, Pixel) - Static method in class org.openimaj.image.pixel.util.LineIterators
-
Pixel iterator based on Bresenham's algorithm for a line between two
discrete endpoints.
- bresenham(int, int, int, int) - Static method in class org.openimaj.image.pixel.util.LineIterators
-
Pixel iterator based on Bresenham's algorithm for a line between two
discrete endpoints.
- bresenham(int, int, float, float) - Static method in class org.openimaj.image.pixel.util.LineIterators
-
Pixel iterator based on Bresenham's algorithm for a line starting at a
given point, with an angle given by the provided x and y deltas.
- BrightnessClusteringTransform - Class in org.openimaj.workinprogress
-
Implementation of the Brightness Clustering Transform.
- BrightnessClusteringTransform() - Constructor for class org.openimaj.workinprogress.BrightnessClusteringTransform
-
- BrowserDelegate - Interface in org.openimaj.web
-
- bside - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Bundle left / right indicators
- BSplineFilter - Class in org.openimaj.image.processing.resize.filters
-
B-Spline (cubic) filter for the resample function.
- BSplineFilter() - Constructor for class org.openimaj.image.processing.resize.filters.BSplineFilter
-
- bstate - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Edge bundle state
- BucketingSampler2d - Class in org.openimaj.math.geometry.transforms.estimation.sampling
-
Implementation of the bucketing sampling strategy proposed by Zhang et al to
try and ensure a good spatial distribution of point-pairs for estimation of
geometric transforms and the fundamental matrix.
- BucketingSampler2d() - Constructor for class org.openimaj.math.geometry.transforms.estimation.sampling.BucketingSampler2d
-
Construct the sampler with the default number of buckets in the x and y
dimensions (8).
- BucketingSampler2d(int, int) - Constructor for class org.openimaj.math.geometry.transforms.estimation.sampling.BucketingSampler2d
-
Construct the sampler with the given number of buckets in each dimension.
- buffer_for_data() - Method in class net.lag.kestrel.thrift.Item
-
- buffer_for_head_item() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- BufferedReaderStream - Class in org.openimaj.util.stream
-
- BufferedReaderStream(BufferedReader) - Constructor for class org.openimaj.util.stream.BufferedReaderStream
-
Construct with the given collection.
- bufferKestrelGet(int) - Method in class backtype.storm.spout.KestrelThriftSpout
-
- build() - Method in class org.openimaj.data.dataset.MapBackedDataset.IdentifiableBuilder
-
- build() - Method in class org.openimaj.text.nlp.namedentity.SeedBuilder
-
- build(List<String>) - Method in class org.openimaj.text.nlp.sentiment.lexicon.TotalLexBuilder
-
Builds a Scored Sentiment mapping of adjectives from the corpus.
- build_sbt() - Method in class org.openimaj.math.geometry.shape.util.polygon.ScanBeamTreeEntries
-
- buildAll(String) - Method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Builds the alias text file and the lucene index in the default root
directory.
- buildAll(String, String) - Method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Builds the alias text file and the lucene index in the specified root
directory.
- buildCandidateAliasFile(String) - Method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Builds the alias text file in the default location.
- buildCandidateAliasFile(String, String) - Method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Builds the alias text file in the specified location.
- buildContextLuceneIndex(String) - Method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Builds the lucene index in the default path.
- buildContextLuceneIndex(String, String) - Method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Builds the lucene index at the specified path.
- buildDefaultDistanceCheck() - Static method in class org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator
-
Build a DistanceCheck for the spatial layout of matching normalised
facial features.
- builder() - Static method in class org.openimaj.data.dataset.MapBackedDataset
-
Returns a new builder.
- buildFromCorpus(List<String>) - Method in class org.openimaj.text.nlp.sentiment.lexicon.HMLexiconBuilder
-
- buildIndexerData() - Method in class org.openimaj.image.indexing.vlad.VLADIndexerDataBuilder
-
Build the
VLADIndexerData
using the information provided at
construction time.
- buildNormalisedDataMatrix(Matrix) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Zero-centre the data matrix and return a copy
- buildObservedVector() - Method in class org.openimaj.image.camera.calibration.CameraCalibration
-
Stack the observed image locations of the calibration pattern points into
a vector
- buildObservedVector() - Method in class org.openimaj.image.camera.calibration.CameraCalibrationZhang
-
Stack the observed image locations of the calibration pattern points into
a vector
- buildRectifiedUndistortionMap(int, int, CameraIntrinsics, Matrix) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Build the rectified distortion map, which for every un-distorted point in
the given size image contains the x and y ordinates of the corresponding
rectifed distorted point.
- buildRectifiedUndistortionProcessor(int, int, CameraIntrinsics, Matrix) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Build a
RemapProcessor
capable of correcting the radial and
tangential distortion of this camera.
- buildTopology() - Method in interface org.openimaj.storm.topology.orchestrator.StormTopologyOrchestrator
-
- buildUndistortionMap(int, int) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Build the distortion map, which for every un-distorted point in the given
size image contains the x and y ordinates of the corresponding distorted
point.
- buildUndistortionMap(int, int, CameraIntrinsics) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Build the distortion map, which for every un-distorted point in the given
size image contains the x and y ordinates of the corresponding distorted
point.
- buildUndistortionProcessor() - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Build a
RemapProcessor
capable of correcting the radial and
tangential distortion of this camera.
- buildUndistortionProcessor(int, int) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Build a
RemapProcessor
capable of correcting the radial and
tangential distortion of this camera.
- buildUndistortionProcessor(int, int, CameraIntrinsics) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Build a
RemapProcessor
capable of correcting the radial and
tangential distortion of this camera.
- buildURI() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- buildVLAD() - Method in class org.openimaj.image.indexing.vlad.VLADIndexerDataBuilder
-
Build a
VLAD
using the information provided at construction time.
- BulkIndexer - Interface in org.openimaj.image.indexing
-
- bundle - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Bundle edge flags
- BUNDLE_HEAD - Static variable in class org.openimaj.math.geometry.shape.util.polygon.BundleState
-
- BUNDLE_TAIL - Static variable in class org.openimaj.math.geometry.shape.util.polygon.BundleState
-
- BundleState - Class in org.openimaj.math.geometry.shape.util.polygon
-
Edge bundle state
- ButtonsPanel() - Constructor for class org.openimaj.video.VideoPlayer.VideoPlayerComponent.ButtonsPanel
-
Construct a new buttons panel
- buttonValue - Variable in class org.openimaj.video.VideoPlayer.VideoPlayerComponent.AnimatorThread
-
- bx() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- bx(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- by() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- by(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- byCountry(String) - Method in class org.openimaj.text.geo.WorldPolygons
-
- byCountry(String) - Method in class org.openimaj.vis.world.WorldPolygons
-
- byCountryCode(String) - Method in class org.openimaj.text.geo.WorldPolygons
-
- byCountryCode(String) - Method in class org.openimaj.vis.world.WorldPolygons
-
- byName(String, ImageCollectionConfig) - Static method in class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection
-
- BYTE_TO_FLOAT_LUT - Static variable in class org.openimaj.image.ImageUtilities
-
Lookup table for byte->float conversion
- ByteADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product
Quantised vectors.
- ByteADCNearestNeighbours(ByteProductQuantiser, byte[][]) - Constructor for class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- ByteADCNearestNeighbours(ByteProductQuantiser, byte[][], int) - Constructor for class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
Construct the ADC with the given quantiser and pre-quantised data .
- ByteArrayBackedDataSource - Class in org.openimaj.data
-
- ByteArrayBackedDataSource(byte[][]) - Constructor for class org.openimaj.data.ByteArrayBackedDataSource
-
Construct with data
- ByteArrayBackedDataSource(byte[][], Random) - Constructor for class org.openimaj.data.ByteArrayBackedDataSource
-
Construct with data and a random generator for random sampling
- ByteArrayConverter - Class in org.openimaj.util.array
-
Utility methods for converting arrays of
(unsigned) bytes to integers and back.
- ByteArrayConverter() - Constructor for class org.openimaj.util.array.ByteArrayConverter
-
- ByteArrayValueAnimator - Class in org.openimaj.content.animation.animator
-
- ByteArrayValueAnimator(ValueAnimator<Byte>...) - Constructor for class org.openimaj.content.animation.animator.ByteArrayValueAnimator
-
- ByteArrayView - Class in org.openimaj.util.array
-
A wrapper around a java byte array that allows
views onto the array to be created without the
overhead of maintaining copies of the data.
- ByteArrayView(byte[], int, int) - Constructor for class org.openimaj.util.array.ByteArrayView
-
Create a view on the given array from l (inclusive) to
r (exclusive).
- ByteArrayView(byte[]) - Constructor for class org.openimaj.util.array.ByteArrayView
-
Create a view on the entirety of the given array.
- ByteArrayView(int) - Constructor for class org.openimaj.util.array.ByteArrayView
-
Create a view on an array of length n.
- ByteBytePair - Class in org.openimaj.util.pair
-
A pair of byte and byte types
- ByteBytePair(byte, byte) - Constructor for class org.openimaj.util.pair.ByteBytePair
-
Construct pair with given values
- ByteBytePair() - Constructor for class org.openimaj.util.pair.ByteBytePair
-
Construct empty pair
- ByteCauchyFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that use a Cauchy
distribution to approximate L1 distance.
- ByteCauchyFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.ByteCauchyFactory
-
Construct the factory with the given parameters.
- ByteCentroidsResult - Class in org.openimaj.ml.clustering
-
- ByteCentroidsResult() - Constructor for class org.openimaj.ml.clustering.ByteCentroidsResult
-
- ByteDoublePair - Class in org.openimaj.util.pair
-
A pair of byte and double types
- ByteDoublePair(byte, double) - Constructor for class org.openimaj.util.pair.ByteDoublePair
-
Construct pair with given values
- ByteDoublePair() - Constructor for class org.openimaj.util.pair.ByteDoublePair
-
Construct empty pair
- ByteDSIFTKeypoint - Class in org.openimaj.image.feature.dense.gradient.dsift
-
Dense SIFT keypoint with a location and byte feature vector.
- ByteDSIFTKeypoint() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
-
Construct with the default feature vector length for SIFT (128).
- ByteDSIFTKeypoint(int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
-
Construct with the given feature vector length.
- ByteDSIFTKeypoint(float, float, byte[], float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
-
Construct with the given parameters.
- ByteDSIFTKeypoint(float, float, float[], float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
-
Construct with the given parameters.
- ByteEntropyFilter - Class in org.openimaj.feature.local.filter
-
- ByteEntropyFilter() - Constructor for class org.openimaj.feature.local.filter.ByteEntropyFilter
-
Construct with the default threshold of 4.4 as suggested in the original
paper.
- ByteEntropyFilter(double) - Constructor for class org.openimaj.feature.local.filter.ByteEntropyFilter
-
Construct with a custom threshold.
- ByteFloatPair - Class in org.openimaj.util.pair
-
A pair of byte and float types
- ByteFloatPair(byte, float) - Constructor for class org.openimaj.util.pair.ByteFloatPair
-
Construct pair with given values
- ByteFloatPair() - Constructor for class org.openimaj.util.pair.ByteFloatPair
-
Construct empty pair
- ByteFV - Class in org.openimaj.feature
-
Basic byte single-dimensional feature vector implementation
- ByteFV() - Constructor for class org.openimaj.feature.ByteFV
-
Construct an empty feature vector
- ByteFV(int) - Constructor for class org.openimaj.feature.ByteFV
-
Construct empty FV with given number of bins
- ByteFV(byte[]) - Constructor for class org.openimaj.feature.ByteFV
-
Construct from flattened values array and dimensions
- ByteFVComparator - Interface in org.openimaj.feature
-
Comparison/distance methods for ByteFV objects.
- ByteFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for ByteFV objects.
- ByteGaussianFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions using Gaussian
distributions to approximate the Euclidean distance.
- ByteGaussianFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.ByteGaussianFactory
-
Construct with the given parameters.
- ByteHammingFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that approximate the
Hamming distance.
- ByteHammingFactory(int, MersenneTwister, int) - Constructor for class org.openimaj.lsh.functions.ByteHammingFactory
-
Construct a new factory using the given parameters.
- ByteHashFunction - Class in org.openimaj.lsh.functions
-
- ByteHashFunctionFactory - Class in org.openimaj.lsh.functions
-
- ByteHashFunctionFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.ByteHashFunctionFactory
-
- ByteHyperplaneCosineFactory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate cosine
distance using hyperplanes.
- ByteHyperplaneCosineFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.ByteHyperplaneCosineFactory
-
Construct with the given arguments.
- ByteHyperplaneL1Factory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate L1
(city-block) distance in closed spaces using random axis-aligned hyperplanes.
- ByteHyperplaneL1Factory(int, MersenneTwister, byte, byte) - Constructor for class org.openimaj.lsh.functions.ByteHyperplaneL1Factory
-
Construct with the given arguments.
- ByteIntPair - Class in org.openimaj.util.pair
-
A pair of byte and int types
- ByteIntPair(byte, int) - Constructor for class org.openimaj.util.pair.ByteIntPair
-
Construct pair with given values
- ByteIntPair() - Constructor for class org.openimaj.util.pair.ByteIntPair
-
Construct empty pair
- ByteKDTree - Class in org.openimaj.util.tree
-
Immutable KD-Tree implementation for byte[] data.
- ByteKDTree(byte[][]) - Constructor for class org.openimaj.util.tree.ByteKDTree
-
- ByteKDTree(byte[][], ByteKDTree.SplitChooser) - Constructor for class org.openimaj.util.tree.ByteKDTree
-
Construct with the given data and splitting strategy
- ByteKDTree.ApproximateBBFMedianSplit - Class in org.openimaj.util.tree
-
Approximate best-bin-first median splitting.
- ByteKDTree.BasicMedianSplit - Class in org.openimaj.util.tree
-
Basic median split.
- ByteKDTree.BBFMedianSplit - Class in org.openimaj.util.tree
-
Best-bin-first median splitting.
- ByteKDTree.KDTreeNode - Class in org.openimaj.util.tree
-
An internal node of the KDTree
- ByteKDTree.RandomisedBBFMeanSplit - Class in org.openimaj.util.tree
-
Randomised best-bin-first splitting strategy:
Nodes with less than a set number of items become leafs.
- ByteKDTree.SplitChooser - Interface in org.openimaj.util.tree
-
Interface for describing how a branch in the KD-Tree should be created
- ByteKDTreeEnsemble - Class in org.openimaj.knn.approximate
-
Ensemble of Best-Bin-First KDTrees for byte data.
- ByteKDTreeEnsemble(byte[][]) - Constructor for class org.openimaj.knn.approximate.ByteKDTreeEnsemble
-
Construct a ByteKDTreeEnsemble with the provided data,
using the default of 8 trees.
- ByteKDTreeEnsemble(byte[][], int) - Constructor for class org.openimaj.knn.approximate.ByteKDTreeEnsemble
-
Construct a ByteKDTreeEnsemble with the provided data and
number of trees.
- ByteKDTreeEnsemble(byte[][], int, int) - Constructor for class org.openimaj.knn.approximate.ByteKDTreeEnsemble
-
Construct a ByteKDTreeEnsemble with the provided data and
number of trees.
- ByteKDTreeEnsemble.ByteKDTreeNode - Class in org.openimaj.knn.approximate
-
An internal node of the KDTree
- ByteKDTreeNode() - Constructor for class org.openimaj.knn.approximate.ByteKDTreeEnsemble.ByteKDTreeNode
-
Construct a new node
- ByteKDTreeNode(byte[][], IntArrayView, Uniform) - Constructor for class org.openimaj.knn.approximate.ByteKDTreeEnsemble.ByteKDTreeNode
-
Construct a new node with the given data
- ByteKMeans - Class in org.openimaj.ml.clustering.kmeans
-
Fast, parallel implementation of the K-Means algorithm with support for
bigger-than-memory data.
- ByteKMeans(KMeansConfiguration<ByteNearestNeighbours, byte[]>) - Constructor for class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Construct the clusterer with the the given configuration.
- ByteKMeans() - Constructor for class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
A completely default
ByteKMeans
used primarily as a convenience function for reading.
- ByteKMeans.Result - Class in org.openimaj.ml.clustering.kmeans
-
Result object for ByteKMeans, extending ByteCentroidsResult and ByteNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
- ByteKMeansInit - Class in org.openimaj.ml.clustering.kmeans
-
Initialisation for K-Means clustering.
- ByteKMeansInit() - Constructor for class org.openimaj.ml.clustering.kmeans.ByteKMeansInit
-
- ByteKMeansInit.RANDOM - Class in org.openimaj.ml.clustering.kmeans
-
Simple kmeans initialized on randomly selected samples.
- ByteKMeansInitialisers - Enum in org.openimaj.tools.clusterquantiser.fastkmeans
-
Initialisation options for k-means.
- ByteKMeansInitialisers.Options - Class in org.openimaj.tools.clusterquantiser.fastkmeans
-
Base options for FastByteKMeansInitialisers types
- ByteKNNAssigner - Class in org.openimaj.ml.clustering.assignment.soft
-
A
SoftAssigner
that picks a fixed number of nearest neighbours.
- ByteKNNAssigner(CentroidsProvider<byte[]>, boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
Construct the assigner using the given cluster data.
- ByteKNNAssigner(byte[][], boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
Construct the assigner using the given cluster data.
- ByteKNNAssigner(CentroidsProvider<byte[]>, ByteFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- ByteKNNAssigner(byte[][], ByteFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- ByteLongPair - Class in org.openimaj.util.pair
-
A pair of byte and long types
- ByteLongPair(byte, long) - Constructor for class org.openimaj.util.pair.ByteLongPair
-
Construct pair with given values
- ByteLongPair() - Constructor for class org.openimaj.util.pair.ByteLongPair
-
Construct empty pair
- ByteLSHSketcher<OBJECT> - Class in org.openimaj.lsh.sketch
-
A
Sketcher
that produces bit-string sketches encoded as byte arrays.
- ByteLSHSketcher(List<HashFunction<OBJECT>>) - Constructor for class org.openimaj.lsh.sketch.ByteLSHSketcher
-
Construct with the given functions.
- ByteLSHSketcher(HashFunction<OBJECT>, HashFunction<OBJECT>...) - Constructor for class org.openimaj.lsh.sketch.ByteLSHSketcher
-
Construct with the given functions.
- ByteLSHSketcher(HashFunctionFactory<OBJECT>, int) - Constructor for class org.openimaj.lsh.sketch.ByteLSHSketcher
-
Construct with the factory which is used to produce the required number
of functions.
- ByteNearestNeighbours - Class in org.openimaj.knn
-
Abstract base class for k-nearest-neighbour calculations with byte[] data.
- ByteNearestNeighbours() - Constructor for class org.openimaj.knn.ByteNearestNeighbours
-
- ByteNearestNeighboursExact - Class in org.openimaj.knn
-
Exact (brute-force) k-nearest-neighbour implementation.
- ByteNearestNeighboursExact(byte[][]) - Constructor for class org.openimaj.knn.ByteNearestNeighboursExact
-
Construct the ByteNearestNeighboursExact over the provided
dataset and using Euclidean distance.
- ByteNearestNeighboursExact(byte[][], ByteFVComparator) - Constructor for class org.openimaj.knn.ByteNearestNeighboursExact
-
Construct the ByteNearestNeighboursExact over the provided
dataset with the given distance function.
- ByteNearestNeighboursExact.Factory - Class in org.openimaj.knn
-
- ByteNearestNeighboursKDTree - Class in org.openimaj.knn.approximate
-
Fast Nearest-Neighbours for byte data using an ensemble of Best-Bin-First KDTrees.
- ByteNearestNeighboursKDTree(byte[][], int, int) - Constructor for class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
Construct the ByteNearestNeighboursKDTree with the given options.
- ByteNearestNeighboursKDTree.Factory - Class in org.openimaj.knn.approximate
-
- ByteNearestNeighboursProvider - Interface in org.openimaj.knn
-
Interface for classes able to expose a k-nearest-neighbour object.
- ByteObjectPair<Q> - Class in org.openimaj.util.pair
-
A pair of byte and a generic type
- ByteObjectPair(byte, Q) - Constructor for class org.openimaj.util.pair.ByteObjectPair
-
Construct pair with given values
- ByteObjectPair() - Constructor for class org.openimaj.util.pair.ByteObjectPair
-
Construct empty pair
- ByteProductQuantiser - Class in org.openimaj.knn.pq
-
Implementation of a Product Quantiser for vectors/arrays of bytes.
- ByteProductQuantiser(ByteNearestNeighboursExact[]) - Constructor for class org.openimaj.knn.pq.ByteProductQuantiser
-
- ByteProductQuantiserUtilities - Class in org.openimaj.knn.pq
-
- BytePStableFactory - Class in org.openimaj.lsh.functions
-
Base class for hashing schemes based on P-Stable distributions.
- BytePStableFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.BytePStableFactory
-
Construct with the given parameters.
- BytePStableFactory.PStableFunction - Class in org.openimaj.lsh.functions
-
- bytes() - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- bytes(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- ByteSDCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Symmetric Distance Computation (SDC) on Product
Quantised vectors.
- ByteSDCNearestNeighbours(ByteProductQuantiser, byte[][][], byte[][]) - Constructor for class org.openimaj.knn.pq.ByteSDCNearestNeighbours
-
Construct the SDC with the given quantiser, centroids (corresponding to
the quantiser's internal assigners), and data.
- ByteShortPair - Class in org.openimaj.util.pair
-
A pair of byte and short types
- ByteShortPair(byte, short) - Constructor for class org.openimaj.util.pair.ByteShortPair
-
Construct pair with given values
- ByteShortPair() - Constructor for class org.openimaj.util.pair.ByteShortPair
-
Construct empty pair
- byteToInt(byte[]) - Static method in class org.openimaj.util.array.ByteArrayConverter
-
Convert the given byte array to an array of ints.
- byteToInt(byte[][]) - Static method in class org.openimaj.util.array.ByteArrayConverter
-
Convert the given 2d byte array to a 2d array of ints.
- c(FImage) - Method in enum org.openimaj.tools.globalfeature.ShapeFeatures
-
- C - Variable in class org.openimaj.workinprogress.featlearn.cifarexps.CIFARExperimentFramework
-
- Cachable - Interface in org.openimaj.io
-
A cachable object can identify itself.
- CachableASCII - Interface in org.openimaj.io
-
A
Cachable
that is capable of being read/written as ASCII.
- CachableBinary - Interface in org.openimaj.io
-
A
Cachable
that is capable of being read/written as Binary.
- Cache - Class in org.openimaj.io
-
In its simplest form this function constructs an object using the construct found for the objects
specified.
- Cache() - Constructor for class org.openimaj.io.Cache
-
- cached_veclen - Variable in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
- CachedDoubleSpectralClustering - Class in org.openimaj.ml.clustering.spectral
-
- CachedDoubleSpectralClustering(File, SpectralClusteringConf<double[]>) - Constructor for class org.openimaj.ml.clustering.spectral.CachedDoubleSpectralClustering
-
- cachedRects - Variable in class org.openimaj.image.objectdetection.haar.HaarFeature
-
- CachedTrainingData - Class in org.openimaj.image.objectdetection.haar.training
-
- CachedTrainingData(List<SummedSqTiltAreaTable>, List<SummedSqTiltAreaTable>, List<HaarFeature>) - Constructor for class org.openimaj.image.objectdetection.haar.training.CachedTrainingData
-
- cacheValues() - Method in class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
- cacheVideo(Video<I>) - Static method in class org.openimaj.video.VideoCache
-
Cache the whole of the given video.
- cacheVideo(Video<I>, VideoTimecode, VideoTimecode) - Static method in class org.openimaj.video.VideoCache
-
Cache the given time range from the given video.
- CachingFeatureExtractor<FEATURE,OBJECT extends Identifiable> - Class in org.openimaj.feature
-
A simple wrapper for a feature extractor that caches the extracted feature to
a
HashMap
.
- CachingFeatureExtractor(FeatureExtractor<FEATURE, OBJECT>) - Constructor for class org.openimaj.feature.CachingFeatureExtractor
-
- CachingFeatureExtractor(FeatureExtractor<FEATURE, OBJECT>, boolean) - Constructor for class org.openimaj.feature.CachingFeatureExtractor
-
Construct the cache
HashMap
The given extractor will be used to
generate the features.
- CachingMultivariateGaussian - Class in org.openimaj.math.statistics.distribution
-
A single multidimensional Gaussian.
- CachingMultivariateGaussian() - Constructor for class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
- CachingMultivariateGaussian(Matrix, Matrix) - Constructor for class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
Construct the Gaussian with the provided center and covariance
- CachingMultivariateGaussian(int) - Constructor for class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
Construct the Gaussian with the zero mean and unit variance
- calcParams(Matrix, Matrix, Matrix) - Method in class com.jsaragih.PDM
-
Calculate the PDM parameters
- calcShape2D(Matrix, Matrix, Matrix) - Method in class com.jsaragih.PDM
-
Calculate Shape 2D
- calculate(Map<K, A>, Map<K, A>) - Static method in class org.openimaj.experiment.evaluation.agreement.CohensKappaInterraterAgreement
-
The input should be a
Map
for each rater where the keys represent
all the subjects that were rated by the raters and the values represent
the annotations given by the raters.
- calculate(List<Map<K, A>>) - Static method in class org.openimaj.experiment.evaluation.agreement.FleissInterraterAgreement
-
Calculate Fleiss interrater agreement
- calculate(Map<K, A>, Map<K, A>) - Static method in class org.openimaj.experiment.evaluation.agreement.PercentageInterraterAgreement
-
The input should be a
Map
for each rater where the keys represent
all the subjects that were rated by the raters and the values represent
the annotations given by the raters.
- calculateArea(int, int, int, int) - Method in class org.openimaj.image.analysis.algorithm.SummedAreaTable
-
Calculate the sum of pixels in the image used for constructing this SAT
within the rectangle defined by (x1,y1) [top-left coordinate] and (x2,y2)
[bottom- right coordinate]
- calculateArea(Rectangle) - Method in class org.openimaj.image.analysis.algorithm.SummedAreaTable
-
Calculate the sum of pixels in the image used for constructing this SAT
within the given rectangle
- calculateArea() - Method in class org.openimaj.image.pixel.PixelSet
-
Calculate the area of this connected component in pixels.
- calculateArea() - Method in class org.openimaj.math.geometry.shape.Circle
-
- calculateArea() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- calculateArea() - Method in class org.openimaj.math.geometry.shape.Polygon
-
- calculateArea() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- calculateArea() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- calculateArea() - Method in interface org.openimaj.math.geometry.shape.Shape
-
Calculate the area of the shape
- calculateArea() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- calculateArea() - Method in class org.openimaj.text.geo.WorldPlace
-
- calculateArea() - Method in class org.openimaj.vis.world.WorldPlace
-
Calculates the area of the country
- calculateAreaRatio(ConnectedComponent) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculate the ratio of the area of the given connected component to the
area of the connected component.
- calculateAreaRatio(Polygon) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculate the ratio of the area of the given polygon to the area of this
connected component.
- calculateAverageHeightWidth(double[]) - Method in class org.openimaj.image.pixel.PixelSet
-
Calculate the height and width of a box surrounding the component by
averaging the distances of pixels above and below the centroid.
- calculateAverageHeightWidth() - Method in class org.openimaj.image.pixel.PixelSet
-
Calculate the height and width of a box surrounding the component by
averaging the distances of pixels above and below the centroid.
- calculateBasicMajorityVote(List<A>) - Static method in class org.openimaj.experiment.evaluation.agreement.MajorityVoting
-
Returns the basic majority vote or null if there is no majority within
the given list of annotations.
- calculateBasicMajorityVote(Map<String, List<A>>) - Static method in class org.openimaj.experiment.evaluation.agreement.MajorityVoting
-
Calculated the majority vote for a set of subjects, where each subject
has a set of answers.
- calculateBinaryMask(Image<?, ?>) - Method in class org.openimaj.image.pixel.PixelSet
-
Returns an image where the connected component is masked in the image.
- calculateBoundaryDistanceFromCentre() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculates the distance from the centroid of every pixel on the
8-connected boundary of this component.
- calculateCentroid() - Method in class org.openimaj.image.pixel.PixelSet
-
Calculate the centroid of the connected component.
- calculateCentroid() - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
Calculate the centroid of the shape
- calculateCentroid() - Method in class org.openimaj.math.geometry.line.Line2d
-
- calculateCentroid() - Method in class org.openimaj.math.geometry.point.PointList
-
- calculateCentroid() - Method in class org.openimaj.math.geometry.shape.Circle
-
- calculateCentroid() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- calculateCentroid() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Calculate the centroid of the polygon.
- calculateCentroid() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- calculateCentroid() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- calculateCentroid() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- calculateCentroidPixel() - Method in class org.openimaj.image.pixel.PixelSet
-
Calculates the centroid pixel of the connected component.
- calculateConvexHull() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculates the convex hull polygon for this connected component using
Andrew's montone algorithm.
- calculateConvexHull() - Method in class org.openimaj.math.geometry.point.PointList
-
Calculate the convex hull of the points using the Graham Scan algorithm.
- calculateConvexHull_AndrewsMontone() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculate the convex hull using Andrew's monotone chain 2D convex hull
algorithm.
- calculateConvexHull_Melkman(List<Pixel>) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculate convex hull using Melkman's algorithm.
- calculateConvexHullMelkman() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Calculate convex hull using Melkman's algorithm.
- calculateDeltaE(double[], double[]) - Static method in class org.openimaj.image.analysis.colour.CIEDE2000
-
Calculate the colour difference value between two colours in lab space.
- calculateDeltaE(float[], float[]) - Static method in class org.openimaj.image.analysis.colour.CIEDE2000
-
Calculate the colour difference value between two colours in lab space.
- calculateDeltaE(Float[], Float[]) - Static method in class org.openimaj.image.analysis.colour.CIEDE2000
-
Calculate the colour difference value between two colours in lab space.
- calculateDeltaE(double, double, double, double, double, double) - Static method in class org.openimaj.image.analysis.colour.CIEDE2000
-
Calculate the colour difference value between two colours in lab space.
- calculateDensestSubgraph() - Method in class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph
-
- calculateDensity(Graph<?, ?>) - Static method in class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph
-
Calculate the density of the graph as the
number of edges divided by the number of vertices
- calculateDirection() - Method in class org.openimaj.image.pixel.PixelSet
-
Calculates the principle direction of the connected component.
- calculateDirection() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Calculates the principle direction of the connected component.
- calculateError() - Method in class org.openimaj.image.camera.calibration.CameraCalibrationZhang
-
Compute the average per-pixel error (in pixels)
- calculateError(List<? extends IndependentPair<double[], Integer>>) - Method in class org.openimaj.ml.linear.learner.perceptron.SimplePerceptron
-
- calculateFirstMoment() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Treating the polygon as a continuous piecewise function, calculate
exactly the first moment.
- calculateHistograms(int[][], int) - Method in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram
-
Compute the histograms for the given pattern image, encoded with the
given number of bits.
- calculateHomography(Polygon) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Calculates the point pairing for a given distorted polygon into
orthogonal space.
- calculateHorizontalAngle() - Method in class org.openimaj.math.geometry.line.Line2d
-
Returns the angle (radians) this line makes with a horizontal line
- calculateHorizontalProjection() - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Calculates a projection across the accumulator space.
- calculateHorizontalProjection(FImage) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Calculates a projection across the given accumulator space.
- calculateHue(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Calculate Hue in 0..1 range from a 3-band RGB MBFImage
- calculateIntensity(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Calculate intensity by averaging R, G, B planes.
- calculateIntensity(MBFImage, float, float, float) - Static method in class org.openimaj.image.colour.Transforms
-
Calculate Intensity image from an RGB or RGBA MBFImage with given
weightings for R, G and B
- calculateIntensityNTSC(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Calculate intensity by a weighted average of the R, G, B planes.
- calculateIntensityNTSC_LUT(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Calculate intensity by a weighted average of the R, G, B planes.
- calculateLBP(FImage) - Static method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
-
Calculate the LBP for every pixel in the image.
- calculateLBP(FImage, int, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
-
Calculate the basic LBP for a single point.
- calculateLBP(FImage, Pixel) - Static method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
-
Calculate the basic LBP for a single point.
- calculateLBP(FImage, float, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
-
Calculate the LBP for every pixel in the image.
- calculateLBP(FImage, float, int, int, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
-
Calculate the extended LBP for a single point.
- calculateLBP(FImage, float, int, Pixel) - Static method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
-
Calculate the extended LBP for a single point.
- calculateLength() - Method in class org.openimaj.math.geometry.line.Line2d
-
- calculateLength() - Method in interface org.openimaj.math.geometry.path.Path2d
-
Calculate the length of the path
- calculateLength() - Method in class org.openimaj.math.geometry.path.Polyline
-
- calculateLTP(FImage, float, int, float) - Static method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
Calculate the LBP for every pixel in the image.
- calculateLTP(FImage, float, int, float, int, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
Calculate the LTP for a single point.
- calculateLTP(FImage, float, int, float, Pixel) - Static method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
Calculate the LTP for a single point.
- calculateMFCC(SampleBuffer) - Method in class org.openimaj.audio.features.MFCC
-
Calculate the MFCCs for the given sample buffer.
- calculateMoment(int, int, double, double) - Method in class org.openimaj.image.pixel.PixelSet
-
Calculate the pq moment, μpq around the given centroid.
- calculateMoment(int, int) - Method in class org.openimaj.image.pixel.PixelSet
-
Calculate the pq central moment, μpq for this region.
- calculateMomentNormalised(int, int) - Method in class org.openimaj.image.pixel.PixelSet
-
Calculate the normalized, unscaled, central moments ηpq.
- calculateNormal(Point2d, PointList) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Calculate the normal vector at a given vertex.
- calculateNormal(int, PointList) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Calculate the normal vector at a given vertex id.
- calculateNormalLine(Point2d, PointList, float) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Calculate a normal line for a given vertex.
- calculateNormalLine(int, PointList, float) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Calculate a normal line for a given vertex.
- calculateOrientatedBoundingBox() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculates the polygon that defines the minimum bounding box that best
fits the connected component, at whatever angle that may be.
- calculateOrientatedBoundingBoxAspectRatio() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Compute the aspect ratio of the oriented bounding box.
- calculateOrientedBoundingBox() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
Calculate the oriented bounding box.
- calculateOverlapPercentage(Ellipse, Ellipse, double) - Method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
The overlap of a pair of ellipses (doesn't give the same results as the
oxford implementation below, TODO: FIXME :)
- calculateOverlapPercentageOxford(Matrix, Matrix, Ellipse, Ellipse, double) - Method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
This is how the original matlab found the difference between two
ellipses.
- calculateOverlappingEllipses() - Method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Find pairs of interest points whose ellipses overlap sufficiently and
calculate how much they overlap.
- calculateOverlappingEllipses(List<Ellipse>, List<Ellipse>, Matrix, double) - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
- calculatePercentageConvexHullFit() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculate the ratio of the area of this component's convex hull to the
actual area of this connected component.
- calculatePerimeter() - Method in class org.openimaj.math.geometry.shape.Circle
-
- calculatePerimeter() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- calculatePerimeter() - Method in class org.openimaj.math.geometry.shape.Polygon
-
- calculatePerimeter() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- calculatePerimeter() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- calculatePerimeter() - Method in interface org.openimaj.math.geometry.shape.Shape
-
Calculate the perimeter of the shape
- calculatePerimeter() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- calculatePosition(D) - Method in interface org.openimaj.vis.DataUnitsTransformer
-
For a given coordinate in the units of the data, will calculate
the render coordinates
- calculatePosition(double[]) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
For a given coordinate in the units of the data, will calculate
the render coordinates
- calculatePosition(double, double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Helper function to calulate the render position of a data unit
- calculatePosition(double[]) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- calculatePosition(Double) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
For a given coordinate in the units of the data, will calculate
the render coordinates
- calculatePosition(Double) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- calculatePrevailingAngle() - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the most frequent angle that occurs within the accumulator
space by calculating a horizontal projection over the accumulator
space and returning the angle with the most votes.
- calculatePrevailingAngle(FImage, int, double) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the most frequent angle that occurs within the given accumulator
space by calculating a horizontal projection over the accumulator
space and returning the angle with the most votes.
- calculatePrevailingAngle(float, float) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the most frequent angle that occurs within the given accumulator
space with a given range of angles (specified in degrees)
by calculating a horizontal projection over the given accumulator
space and returning the angle with the most votes.
- calculateProcess(AudioFormat, AudioFormat) - Static method in class org.openimaj.audio.conversion.AudioConverter
-
Calculates the chain of processors that will convert from one format to the
other and will return the first in the chain.
- calculateRegularBoundingBox() - Method in class org.openimaj.image.pixel.PixelSet
-
Calculate the regular bounding box of the region by calculating the
maximum and minimum x and y coordinates of the pixels contained within
the region.
- calculateRegularBoundingBox() - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
Compute the regular (oriented to the axes) bounding box of the shape.
- calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.line.Line2d
-
- calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.point.PointList
-
Compute the regular (oriented to the axes) bounding box of the
PointList
.
- calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.shape.Circle
-
- calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Compute the regular (oriented to the axes) bounding box of the polygon.
- calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- calculateRegularBoundingBoxAspectRatio() - Method in class org.openimaj.image.pixel.PixelSet
-
Compute the aspect ratio of the regular bounding box.
- calculateROI() - Method in class org.openimaj.image.saliency.LuoTangSubjectRegion
-
- calculateSaturation(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Calculate Saturation image from a 3-band RGB MBFImage
- calculateSecondMoment() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Treating the polygon as a continuous piecewise function, calculate
exactly the second moment.
- calculateSecondMomentCentralised() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Treating the polygon as a continuous piecewise function, calculate
exactly the centralised second moment.
- calculateSignedArea() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Calculate the area of the polygon.
- calculateSqSumArea(int, int, int, int) - Method in class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
Calculate the sum of squared pixels in the image used for constructing
this SAT within the rectangle defined by (x1,y1) [top-left coordinate]
and (x2,y2) [bottom- right coordinate]
- calculateSqSumArea(Rectangle) - Method in class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
Calculate the sum of squared pixels in the image used for constructing
this SAT within the given rectangle
- calculateStability(IndexClusters, IndexClusters, TIntSet) - Method in class org.openimaj.ml.clustering.incremental.IncrementalSparseClusterer
-
- calculateStreamLength(ListDataset<List<SampleBuffer>>) - Static method in class org.openimaj.audio.analysis.benchmarking.AudioDatasetHelper
-
Calculate the length of the stream of samples that will come from the dataset.
- calculateSumArea(int, int, int, int) - Method in class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
Calculate the sum of pixels in the image used for constructing this SAT
within the rectangle defined by (x1,y1) [top-left coordinate] and (x2,y2)
[bottom- right coordinate]
- calculateSumArea(Rectangle) - Method in class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
Calculate the sum of pixels in the image used for constructing this SAT
within the given rectangle
- calculateThreshold(FImage, int) - Static method in class org.openimaj.image.processing.threshold.OtsuThreshold
-
Estimate the threshold for the given image.
- calculateThreshold(float[], int) - Static method in class org.openimaj.image.processing.threshold.OtsuThreshold
-
Estimate the threshold for the given data.
- calculateThreshold(int[][], int) - Static method in class org.openimaj.ml.clustering.rac.IntRAC
-
- calculateThresholdAndVariance(float[], int) - Static method in class org.openimaj.image.processing.threshold.OtsuThreshold
-
Estimate the threshold and inter-class variance for the given data.
- calculateTiltedSumArea(int, int, int, int) - Method in class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
Calculate the sum of pixels in the image used for constructing this SAT
within the 45 degree tilted rectangle.
- calculateTiltedSumArea(Rectangle) - Method in class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
Calculate the sum pixels in the image used for constructing this SAT
within the given 45-degree tilted rectangle.
- calculateUniformPatterns(int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern
-
- calculateUnitsAt(U) - Method in interface org.openimaj.vis.DataUnitsTransformer
-
Calculates the data unit coordinate at the given render coordinates
- calculateUnitsAt(int[]) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Calculates the data unit coordinate at the given render coordinates
- calculateUnitsAt(double[]) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- calculateUnitsAt(double[]) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
Calculates the data unit coordinate at the given render coordinates
- calculateUnitsAt(Double) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- calculateValue(double) - Method in class org.openimaj.content.animation.animator.LinearTimeBasedByteValueAnimator
-
Calculates the value of the byte based on the start, end and current
percentage.
- calculateValue(double) - Method in class org.openimaj.content.animation.animator.LinearTimeBasedDoubleValueAnimator
-
Calculates the value of the double based on the start, end and current
percentage.
- calculateValue(double) - Method in class org.openimaj.content.animation.animator.LinearTimeBasedFloatValueAnimator
-
Calculates the value of the float based on the start, end and current
percentage.
- calculateValue(double) - Method in class org.openimaj.content.animation.animator.LinearTimeBasedIntegerValueAnimator
-
Calculates the value of the int based on the start, end and current
percentage.
- calculateValue(double) - Method in class org.openimaj.content.animation.animator.LinearTimeBasedLongValueAnimator
-
Calculates the value of the long based on the start, end and current
percentage.
- calculateValue(double) - Method in class org.openimaj.content.animation.animator.LinearTimeBasedShortValueAnimator
-
Calculates the value of the short based on the start, end and current
percentage.
- calculateValue(double) - Method in class org.openimaj.content.animation.animator.TimeBasedValueAnimator
-
Given a percentage value (0 < pc <=1), the method should return a value
for the animation.
- calculateVerticalAngle() - Method in class org.openimaj.math.geometry.line.Line2d
-
Returns the angle (radians) this line makes with a vertical line
- calibrationMatrix - Variable in class org.openimaj.image.camera.CameraIntrinsics
-
The camera calibration matrix
- call(Object) - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- callback(Vector) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues
-
- Caltech101 - Class in org.openimaj.image.annotation.evaluation.datasets
-
The CalTech101 image dataset.
- Caltech101.Record<IMAGE extends Image<?,IMAGE>> - Class in org.openimaj.image.annotation.evaluation.datasets
-
A record in the Caltech 101 dataset.
- Camera - Class in org.openimaj.image.camera
-
A model of the extrinsic parameters of a pinhole (projective) camera
(translation in 3d space, and 3d rotation matrix), coupled with the camera's
intrinsic parameters.
- Camera() - Constructor for class org.openimaj.image.camera.Camera
-
- camera_serial() - Method in class org.openimaj.hardware.kinect.freenect.freenect_device_attributes
-
< Serial number of this device's camera subdevice
C type : const char*
- camera_serial(Pointer<Byte>) - Method in class org.openimaj.hardware.kinect.freenect.freenect_device_attributes
-
< Serial number of this device's camera subdevice
C type : const char*
- CameraCalibration - Class in org.openimaj.image.camera.calibration
-
- CameraCalibration(List<List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>>, int, int) - Constructor for class org.openimaj.image.camera.calibration.CameraCalibration
-
- CameraCalibrationZhang - Class in org.openimaj.image.camera.calibration
-
Implementation of Zhengyou Zhang's camera calibration routine using a planar
calibration pattern.
- CameraCalibrationZhang(List<List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>>, int, int) - Constructor for class org.openimaj.image.camera.calibration.CameraCalibrationZhang
-
Calibrate a camera using Zhang's method based on the given model-image
point pairs across a number of images.
- CameraIntrinsics - Class in org.openimaj.image.camera
-
The intrinsic parameters of a camera (focal length in x and y; skew;
principal point in x and y; 3-term radial distorion; 2-term tangential
distortion).
- CameraIntrinsics(Matrix, int, int) - Constructor for class org.openimaj.image.camera.CameraIntrinsics
-
Construct with the given matrix.
- cameraPosition - Variable in class org.openimaj.vis.Visualisation3D
-
Object that provide the camera position over time
- CameraPositionProvider - Interface in org.openimaj.vis.general
-
- cameras - Variable in class org.openimaj.image.camera.calibration.CameraCalibrationZhang
-
- CameraSelector - Class in org.openimaj.content.slideshow
-
Utility class for getting a preferred camera.
- CameraSelector() - Constructor for class org.openimaj.content.slideshow.CameraSelector
-
- cameraToWorld(int, int, int) - Method in class org.openimaj.hardware.kinect.KinectController
-
Compute the world coordinates from the pixel location and registered
depth.
- cameraToWorld(int, int, int, double) - Method in class org.openimaj.hardware.kinect.KinectController
-
Compute the world coordinates from the pixel location and registered
depth.
- cameraToWorld(int, int, int, double, float[]) - Method in class org.openimaj.hardware.kinect.KinectController
-
Compute the world coordinates from the pixel location and registered
depth.
- cameraToWorld(FImage, int, int, int, int, int, int) - Method in class org.openimaj.hardware.kinect.KinectController
-
Compute the world coordinates from the pixel locations in the given
registered depth image.
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.FacebookConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.ImgurConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.InstagramConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.OwlyImageConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.TmblrPhotoConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.TwipleConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.TwitPicConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.TwitterPhotoConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.images.YfrogConsumer
-
- canConsume(URL) - Method in class org.openimaj.web.scraping.SimpleHTMLScrapingConsumer
-
- canConsume(URL) - Method in interface org.openimaj.web.scraping.SiteSpecificConsumer
-
Determine whether the given URL can be handled by this consumer.
- candidateFinder - Variable in class org.openimaj.text.nlp.namedentity.YagoEntityExactMatcherFactory.YagoEntityExactMatcher
-
made public so that you have access to the candidateFinder to setNGrams.
- canny - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
The canny edge detector to use for the SWT.
- CannyEdgeDetector - Class in org.openimaj.image.processing.edges
-
Canny edge detector.
- CannyEdgeDetector() - Constructor for class org.openimaj.image.processing.edges.CannyEdgeDetector
-
Default constructor.
- CannyEdgeDetector(float) - Constructor for class org.openimaj.image.processing.edges.CannyEdgeDetector
-
Construct with the give sigma.
- CannyEdgeDetector(float, float, float) - Constructor for class org.openimaj.image.processing.edges.CannyEdgeDetector
-
Construct with all parameters set manually.
- CannyEdgeDetector2 - Class in org.openimaj.image.processing.edges
-
Deprecated.
- CannyEdgeDetector2() - Constructor for class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Default constructor
- canRead(InputStream, String) - Method in class org.openimaj.audio.reader.OneSecondClipReader
-
Returns true if the stream can be read, or false otherwise.
- canRead(FileObject, String) - Method in class org.openimaj.data.dataset.VFSListDataset.FileObjectISReader
-
- canRead(InputStream, String) - Method in interface org.openimaj.io.InputStreamObjectReader
-
Returns true if the stream can be read, or false otherwise.
- canRead(InputStreamObjectReader<?>, BufferedInputStream, String) - Static method in class org.openimaj.io.IOUtils
-
- canRead(ObjectReader<?, SRC>, SRC, String) - Static method in class org.openimaj.io.IOUtils
-
Test whether the data in the given source can be read by the given
ObjectReader
.
- canRead(SOURCE, String) - Method in interface org.openimaj.io.ObjectReader
-
Returns true if the stream can be read, or false otherwise.
- capture() - Method in class org.openimaj.processing.OpenIMAJ
-
- capture(boolean) - Method in class org.openimaj.processing.OpenIMAJ
-
- capturePImage() - Method in class org.openimaj.processing.OpenIMAJ
-
Given an initialised video capture, capture a PImage
- capturePImage(boolean) - Method in class org.openimaj.processing.OpenIMAJ
-
Given an initialised video capture, capture a PImage
- carrier - Variable in class org.openimaj.audio.generation.Synthesizer.FMOptions
-
The carrier signal
- cascade - Variable in class org.openimaj.image.objectdetection.haar.Detector
-
- CascadeLearner - Class in org.openimaj.ml.classification.cascade
-
- CascadeLearner() - Constructor for class org.openimaj.ml.classification.cascade.CascadeLearner
-
- category - Variable in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Record
-
The category in which the image was found
- category - Variable in class org.openimaj.twitter.USMFStatus
-
Category of content
- CatmullRomFilter - Class in org.openimaj.image.processing.resize.filters
-
Catmull-Rom (Catrom) interpolation filter for the resample function
- CatmullRomFilter() - Constructor for class org.openimaj.image.processing.resize.filters.CatmullRomFilter
-
- CBIRMain - Class in org.openimaj.tools.cbir
-
Main tool entry point
- CBIRMain() - Constructor for class org.openimaj.tools.cbir.CBIRMain
-
- cc - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
-
- CCDetectedFace - Class in org.openimaj.image.processing.face.detection
-
- CCDetectedFace() - Constructor for class org.openimaj.image.processing.face.detection.CCDetectedFace
-
Default constructor.
- CCDetectedFace(Rectangle, FImage, ConnectedComponent, float) - Constructor for class org.openimaj.image.processing.face.detection.CCDetectedFace
-
Construct with a bounds rectangle (the bounding box of the face in the
detection image),an image patch that describes the contents of the bounds
rectangle from the original image, and a
ConnectedComponent
describing the shape of the detected face.
- ccl - Variable in class org.openimaj.workinprogress.LOCKY
-
- centeredRotationMatrix(double, int, int) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Construct a rotation about the centre of the rectangle defined by width
and height (i.e.
- centre - Variable in class org.openimaj.image.feature.local.interest.EllipticKeyPoint
-
- centre - Variable in class org.openimaj.math.geometry.shape.Circle
-
- centreFrequency - Variable in class org.openimaj.audio.filters.TriangularFilter
-
The centre (peak) frequency of the filter
- centroid - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
-
- CentroidRenderer<T> - Class in org.openimaj.image.processor.connectedcomponent.render
-
Renders a connected component's centroid into the given image.
- CentroidRenderer(Image<T, ?>, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.CentroidRenderer
-
Default constructor that takes the image to draw into
and the colour to draw the centroid.
- CentroidRenderer(int, int, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.CentroidRenderer
-
Constructor that creates the image to draw into
and takes the colour to draw the centroid.
- centroids - Variable in class org.openimaj.ml.clustering.ByteCentroidsResult
-
The centroids of the clusters
- centroids - Variable in class org.openimaj.ml.clustering.DoubleCentroidsResult
-
The centroids of the clusters
- centroids - Variable in class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
The centroids of the clusters
- centroids - Variable in class org.openimaj.ml.clustering.FloatCentroidsResult
-
The centroids of the clusters
- centroids - Variable in class org.openimaj.ml.clustering.IntCentroidsResult
-
The centroids of the clusters
- centroids - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
The centroids of the clusters
- centroids - Variable in class org.openimaj.ml.clustering.LongCentroidsResult
-
The centroids of the clusters
- centroids - Variable in class org.openimaj.ml.clustering.ShortCentroidsResult
-
The centroids of the clusters
- CENTROIDS_EXACT - Static variable in class org.openimaj.hadoop.tools.fastkmeans.AKMeans
-
Config option where for exact mode or not
- CENTROIDS_K - Static variable in class org.openimaj.hadoop.tools.fastkmeans.AKMeans
-
Config option where for number of centroids K
- CENTROIDS_PATH - Static variable in class org.openimaj.hadoop.tools.fastkmeans.AKMeans
-
Config option where for centroids path
- CentroidsProvider<DATATYPE> - Interface in org.openimaj.ml.clustering
-
Interface for clusterers capable of providing the centroids
of the clusters.
- CFMatrixMultiplyBenchmark - Class in org.openimaj.ml.benchmark
-
- CFMatrixMultiplyBenchmark() - Constructor for class org.openimaj.ml.benchmark.CFMatrixMultiplyBenchmark
-
- CFMatrixUtils - Class in org.openimaj.math.matrix
-
Utility methods for dealing with the cognitive foundry Matrix
.
- CFMatrixUtils() - Constructor for class org.openimaj.math.matrix.CFMatrixUtils
-
- ch.akuhn.matrix - package ch.akuhn.matrix
-
- ch.akuhn.matrix.eigenvalues - package ch.akuhn.matrix.eigenvalues
-
- change - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
The change ID
- changedCentroidCount - Variable in class org.openimaj.ml.clustering.kmeans.ByteKMeans.Result
-
- changedCentroidCount - Variable in class org.openimaj.ml.clustering.kmeans.DoubleKMeans.Result
-
- changedCentroidCount - Variable in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans.Result
-
- changedCentroidCount - Variable in class org.openimaj.ml.clustering.kmeans.FloatKMeans.Result
-
- changedCentroidCount - Variable in class org.openimaj.ml.clustering.kmeans.IntKMeans.Result
-
- changedCentroidCount - Variable in class org.openimaj.ml.clustering.kmeans.LongKMeans.Result
-
- changedCentroidCount - Variable in class org.openimaj.ml.clustering.kmeans.ShortKMeans.Result
-
- ChangeDetectingEigenChooser - Class in org.openimaj.ml.clustering.spectral
-
Attempts to automatically choose the number of eigen vectors based on the
relative gap between eigen values.
- ChangeDetectingEigenChooser(double, double) - Constructor for class org.openimaj.ml.clustering.spectral.ChangeDetectingEigenChooser
-
- changeTCPyramid(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
KLTChangeTCPyramid
- changeVideo(Video<T>) - Method in class org.openimaj.video.VideoDisplay
-
Change the video that is being displayed by this video display.
- CHANNEL_KEY - Variable in class org.openimaj.stream.provider.irc.BasicIRCStreamDataset
-
The IRC channel name key
- chapter() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The chapter number
- Characteristic() - Constructor for class org.openimaj.image.feature.local.engine.ipd.FinderMode.Characteristic
-
- Characteristic(int, double, double) - Constructor for class org.openimaj.image.feature.local.engine.ipd.FinderMode.Characteristic
-
- Characteristic(int) - Constructor for class org.openimaj.image.feature.local.engine.ipd.FinderMode.Characteristic
-
- CharacteristicOctaveInterestPointFinder<T extends InterestPointData> - Class in org.openimaj.image.feature.local.detector.ipd.finder
-
A characteristic octave interest point finder throws
InterestPointData
away if two instances are similar.
- CharacteristicOctaveInterestPointFinder(MultiscaleInterestPointDetector<T>, IPDSelectionMode) - Constructor for class org.openimaj.image.feature.local.detector.ipd.finder.CharacteristicOctaveInterestPointFinder
-
construct this finder with the detector and selection mode
- charAt(int) - Method in class org.openimaj.utils.threads.InterruptibleCharSequence
-
- CharikarDensestSubgraph<V,E> - Class in org.openimaj.math.graph.algorithm
-
Implementation of Charikar's greedy Densest-subgraph algorithm for
unweighted, undirected graphs.
- CharikarDensestSubgraph(UndirectedGraph<V, E>) - Constructor for class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph
-
Compute the densest subgraph of a graph.
- charPattern() - Method in class org.openimaj.text.nlp.patterns.PunctuationPatternProvider
-
- charset - Variable in class org.openimaj.util.list.AbstractFileBackedList
-
- check(int, FImage, Matrix) - Method in class com.jsaragih.MFCheck
-
Check the whether its actually a face
- check(double) - Method in interface org.openimaj.math.util.distance.DistanceCheck
-
Test the distance
- check(double) - Method in class org.openimaj.math.util.distance.ModelDistanceCheck
-
- check(double) - Method in class org.openimaj.math.util.distance.ThresholdDistanceCheck
-
- checkAccuracyComplexFFT_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckDoubleFFT
-
- checkAccuracyComplexFFT_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckFloatFFT
-
- checkAccuracyComplexFFT_2D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckDoubleFFT
-
- checkAccuracyComplexFFT_2D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckFloatFFT
-
- checkAccuracyComplexFFT_3D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckDoubleFFT
-
- checkAccuracyComplexFFT_3D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckFloatFFT
-
- checkAccuracyDCT_1D() - Static method in class edu.emory.mathcs.jtransforms.dct.AccuracyCheckDoubleDCT
-
- checkAccuracyDCT_1D() - Static method in class edu.emory.mathcs.jtransforms.dct.AccuracyCheckFloatDCT
-
- checkAccuracyDCT_2D() - Static method in class edu.emory.mathcs.jtransforms.dct.AccuracyCheckDoubleDCT
-
- checkAccuracyDCT_2D() - Static method in class edu.emory.mathcs.jtransforms.dct.AccuracyCheckFloatDCT
-
- checkAccuracyDCT_3D() - Static method in class edu.emory.mathcs.jtransforms.dct.AccuracyCheckDoubleDCT
-
- checkAccuracyDCT_3D() - Static method in class edu.emory.mathcs.jtransforms.dct.AccuracyCheckFloatDCT
-
- checkAccuracyDHT_1D() - Static method in class edu.emory.mathcs.jtransforms.dht.AccuracyCheckDoubleDHT
-
- checkAccuracyDHT_1D() - Static method in class edu.emory.mathcs.jtransforms.dht.AccuracyCheckFloatDHT
-
- checkAccuracyDHT_2D() - Static method in class edu.emory.mathcs.jtransforms.dht.AccuracyCheckDoubleDHT
-
- checkAccuracyDHT_2D() - Static method in class edu.emory.mathcs.jtransforms.dht.AccuracyCheckFloatDHT
-
- checkAccuracyDHT_3D() - Static method in class edu.emory.mathcs.jtransforms.dht.AccuracyCheckDoubleDHT
-
- checkAccuracyDHT_3D() - Static method in class edu.emory.mathcs.jtransforms.dht.AccuracyCheckFloatDHT
-
- checkAccuracyDST_1D() - Static method in class edu.emory.mathcs.jtransforms.dst.AccuracyCheckDoubleDST
-
- checkAccuracyDST_1D() - Static method in class edu.emory.mathcs.jtransforms.dst.AccuracyCheckFloatDST
-
- checkAccuracyDST_2D() - Static method in class edu.emory.mathcs.jtransforms.dst.AccuracyCheckDoubleDST
-
- checkAccuracyDST_2D() - Static method in class edu.emory.mathcs.jtransforms.dst.AccuracyCheckFloatDST
-
- checkAccuracyDST_3D() - Static method in class edu.emory.mathcs.jtransforms.dst.AccuracyCheckDoubleDST
-
- checkAccuracyDST_3D() - Static method in class edu.emory.mathcs.jtransforms.dst.AccuracyCheckFloatDST
-
- checkAccuracyRealFFT_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckDoubleFFT
-
- checkAccuracyRealFFT_1D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckFloatFFT
-
- checkAccuracyRealFFT_2D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckDoubleFFT
-
- checkAccuracyRealFFT_2D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckFloatFFT
-
- checkAccuracyRealFFT_3D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckDoubleFFT
-
- checkAccuracyRealFFT_3D() - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckFloatFFT
-
- checkForMatch(T, List<T>) - Method in class org.openimaj.feature.local.matcher.BasicMatcher
-
This searches through the keypoints in klist for the two closest matches to
key.
- checkSameSize(Image<?, ?>...) - Static method in class org.openimaj.image.ImageUtilities
-
Checks whether the width and height of all the given images match.
- checkSampleEquality - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- checkSampleEquality(String, HadoopFastKMeansOptions) - Static method in class org.openimaj.hadoop.tools.fastkmeans.SampleEqualityChecker
-
- checkSampleEqualityThreshold - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- checkSingularity() - Method in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- checkSize(int, int, Image<?, ?>...) - Static method in class org.openimaj.image.ImageUtilities
-
Checks whether the width and height of all the given images match the
given width and height.
- checkSize(int, int, Iterable<? extends Image<?, ?>>) - Static method in class org.openimaj.image.ImageUtilities
-
Checks whether the width and height of all the given images match the
given width and height.
- checksum - Variable in class org.openimaj.hardware.gps.NMEAMessage
-
- ChessboardCornerFinder - Class in org.openimaj.image.camera.calibration
-
This is a port/reworking of the OpenCV chessboard corner finder algorithm to
OpenIMAJ.
- ChessboardCornerFinder(int, int, ChessboardCornerFinder.Options...) - Constructor for class org.openimaj.image.camera.calibration.ChessboardCornerFinder
-
Construct with the given pattern size and options set.
- ChessboardCornerFinder.Options - Enum in org.openimaj.image.camera.calibration
-
Options for controlling how the corner finder works
- chessboardDetected() - Method in class org.openimaj.image.camera.calibration.FastChessboardDetector
-
- chfit - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
The ratio of the area of the component to the area of its convex hull
- children - Variable in class org.openimaj.image.contour.Contour
-
sub contours
- children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult.Node
-
Node children (if any)
- children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult.Node
-
Node children (if any)
- children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult.Node
-
Node children (if any)
- children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult.Node
-
Node children (if any)
- children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult.Node
-
Node children (if any)
- children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult.Node
-
Node children (if any)
- children - Variable in class org.openimaj.util.tree.TreeNodeImpl
-
The list of child nodes.
- choldowndate(double[]) - Method in class org.openimaj.math.matrix.UpdateableCholeskyDecomposition
-
- choldowndate(double[], boolean) - Method in class org.openimaj.math.matrix.UpdateableCholeskyDecomposition
-
- choldowndate(double[][], double[]) - Static method in class org.openimaj.math.matrix.UpdateableCholeskyDecomposition
-
Updates L such that the matrix A where:
A = LL*
becomes
A = A - xx*
- cholupdate(double[]) - Method in class org.openimaj.math.matrix.UpdateableCholeskyDecomposition
-
- cholupdate(double[], boolean) - Method in class org.openimaj.math.matrix.UpdateableCholeskyDecomposition
-
- cholupdate(double[][], double[]) - Static method in class org.openimaj.math.matrix.UpdateableCholeskyDecomposition
-
Updates L such that the matrix A where:
A = LL*
becomes
A = A + xx*
- chooseOptimalParameterisation(Matrix, double[]) - Static method in enum org.openimaj.math.geometry.transforms.FundamentalRefinement.Parameterisation
-
Choose the optimal parameterisation of F that preserves the rank-2
constraint by re-writing one of the rows as a weighted combination of
the other two.
- chooseSplit(byte[][], IntArrayView, int, byte[], byte[]) - Method in class org.openimaj.util.tree.ByteKDTree.ApproximateBBFMedianSplit
-
- chooseSplit(byte[][], IntArrayView, int, byte[], byte[]) - Method in class org.openimaj.util.tree.ByteKDTree.BasicMedianSplit
-
- chooseSplit(byte[][], IntArrayView, int, byte[], byte[]) - Method in class org.openimaj.util.tree.ByteKDTree.BBFMedianSplit
-
- chooseSplit(byte[][], IntArrayView, int, byte[], byte[]) - Method in class org.openimaj.util.tree.ByteKDTree.RandomisedBBFMeanSplit
-
- chooseSplit(byte[][], IntArrayView, int, byte[], byte[]) - Method in interface org.openimaj.util.tree.ByteKDTree.SplitChooser
-
Choose the dimension and discriminant on which to split the data.
- chooseSplit(double[][], IntArrayView, int, double[], double[]) - Method in class org.openimaj.util.tree.DoubleKDTree.ApproximateBBFMedianSplit
-
- chooseSplit(double[][], IntArrayView, int, double[], double[]) - Method in class org.openimaj.util.tree.DoubleKDTree.BasicMedianSplit
-
- chooseSplit(double[][], IntArrayView, int, double[], double[]) - Method in class org.openimaj.util.tree.DoubleKDTree.BBFMedianSplit
-
- chooseSplit(double[][], IntArrayView, int, double[], double[]) - Method in class org.openimaj.util.tree.DoubleKDTree.RandomisedBBFMeanSplit
-
- chooseSplit(double[][], IntArrayView, int, double[], double[]) - Method in interface org.openimaj.util.tree.DoubleKDTree.SplitChooser
-
Choose the dimension and discriminant on which to split the data.
- chooseSplit(float[][], IntArrayView, int, float[], float[]) - Method in class org.openimaj.util.tree.FloatKDTree.ApproximateBBFMedianSplit
-
- chooseSplit(float[][], IntArrayView, int, float[], float[]) - Method in class org.openimaj.util.tree.FloatKDTree.BasicMedianSplit
-
- chooseSplit(float[][], IntArrayView, int, float[], float[]) - Method in class org.openimaj.util.tree.FloatKDTree.BBFMedianSplit
-
- chooseSplit(float[][], IntArrayView, int, float[], float[]) - Method in class org.openimaj.util.tree.FloatKDTree.RandomisedBBFMeanSplit
-
- chooseSplit(float[][], IntArrayView, int, float[], float[]) - Method in interface org.openimaj.util.tree.FloatKDTree.SplitChooser
-
Choose the dimension and discriminant on which to split the data.
- chooseSplit(int[][], IntArrayView, int, int[], int[]) - Method in class org.openimaj.util.tree.IntKDTree.ApproximateBBFMedianSplit
-
- chooseSplit(int[][], IntArrayView, int, int[], int[]) - Method in class org.openimaj.util.tree.IntKDTree.BasicMedianSplit
-
- chooseSplit(int[][], IntArrayView, int, int[], int[]) - Method in class org.openimaj.util.tree.IntKDTree.BBFMedianSplit
-
- chooseSplit(int[][], IntArrayView, int, int[], int[]) - Method in class org.openimaj.util.tree.IntKDTree.RandomisedBBFMeanSplit
-
- chooseSplit(int[][], IntArrayView, int, int[], int[]) - Method in interface org.openimaj.util.tree.IntKDTree.SplitChooser
-
Choose the dimension and discriminant on which to split the data.
- chooseSplit(long[][], IntArrayView, int, long[], long[]) - Method in class org.openimaj.util.tree.LongKDTree.ApproximateBBFMedianSplit
-
- chooseSplit(long[][], IntArrayView, int, long[], long[]) - Method in class org.openimaj.util.tree.LongKDTree.BasicMedianSplit
-
- chooseSplit(long[][], IntArrayView, int, long[], long[]) - Method in class org.openimaj.util.tree.LongKDTree.BBFMedianSplit
-
- chooseSplit(long[][], IntArrayView, int, long[], long[]) - Method in class org.openimaj.util.tree.LongKDTree.RandomisedBBFMeanSplit
-
- chooseSplit(long[][], IntArrayView, int, long[], long[]) - Method in interface org.openimaj.util.tree.LongKDTree.SplitChooser
-
Choose the dimension and discriminant on which to split the data.
- chooseSplit(short[][], IntArrayView, int, short[], short[]) - Method in class org.openimaj.util.tree.ShortKDTree.ApproximateBBFMedianSplit
-
- chooseSplit(short[][], IntArrayView, int, short[], short[]) - Method in class org.openimaj.util.tree.ShortKDTree.BasicMedianSplit
-
- chooseSplit(short[][], IntArrayView, int, short[], short[]) - Method in class org.openimaj.util.tree.ShortKDTree.BBFMedianSplit
-
- chooseSplit(short[][], IntArrayView, int, short[], short[]) - Method in class org.openimaj.util.tree.ShortKDTree.RandomisedBBFMeanSplit
-
- chooseSplit(short[][], IntArrayView, int, short[], short[]) - Method in interface org.openimaj.util.tree.ShortKDTree.SplitChooser
-
Choose the dimension and discriminant on which to split the data.
- ChronologicalScrollingBarVisualisation3D - Class in org.openimaj.vis.general
-
A chronological bar chart, where each time you add a data point, the visualisation is
moved along and another set of data is added to the 3D visualisation.
- ChronologicalScrollingBarVisualisation3D(int, int, int, int) - Constructor for class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Default constructor
- ChunkGetter() - Constructor for class org.openimaj.video.xuggle.XuggleAudio.ChunkGetter
-
- CIEDE2000 - Class in org.openimaj.image.analysis.colour
-
Implementation of the CIE 2000 colour difference equation,
and a
ImageCombiner
to calculate a colour disparity map between
two images.
- CIEDE2000() - Constructor for class org.openimaj.image.analysis.colour.CIEDE2000
-
- CIELab_TO_CIEXYZ(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIELab to CIEXYZ.
- CIELab_TO_RGB(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIE Lab to RGB.
- CIELabNormalised_TO_RGB(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert normalised CIE Lab to RGB.
- CIELUV_TO_CIEXYZ(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIELUV to CIEXYZ.
- CIELUV_TO_RGB(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIE LUV to RGB.
- CIEXYZ_TO_CIELab(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIEXYZ to CIELab.
- CIEXYZ_TO_CIELab(MBFImage, boolean) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIEXYZ to CIELab.
- CIEXYZ_TO_CIELUV(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIEXYZ to CIELUV (CIE 1976) See
http://www.brucelindbloom.com/index.html?Eqn_XYZ_to_Lab.html
- CIEXYZ_TO_CIELUV(MBFImage, boolean) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIEXYZ to CIELUV (CIE 1976) See
http://www.brucelindbloom.com/index.html?Eqn_XYZ_to_Lab.html
- CIEXYZ_TO_RGB(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
CIE_XYZ color space transform to RGB.
- CIEXYZ_TO_RGB(MBFImage, boolean) - Static method in class org.openimaj.image.colour.Transforms
-
CIE_XYZ color space transform to RGB.
- CIFAR100Dataset - Class in org.openimaj.image.annotation.evaluation.datasets
-
CIFAR-100 Dataset.
- CIFAR10Dataset - Class in org.openimaj.image.annotation.evaluation.datasets
-
CIFAR-10 Dataset.
- CIFARDataset - Class in org.openimaj.image.annotation.evaluation.datasets
-
Base class for CIFAR-10 and CIFAR-100, which both contain 32x32 pixel images.
- CIFARDataset() - Constructor for class org.openimaj.image.annotation.evaluation.datasets.CIFARDataset
-
- CIFARExperimentFramework - Class in org.openimaj.workinprogress.featlearn.cifarexps
-
- CIFARExperimentFramework() - Constructor for class org.openimaj.workinprogress.featlearn.cifarexps.CIFARExperimentFramework
-
- Circle - Class in org.openimaj.math.geometry.shape
-
A circle shape
- Circle(float, float, float) - Constructor for class org.openimaj.math.geometry.shape.Circle
-
Construct a circle with the given position and radius
- Circle(Point2d, float) - Constructor for class org.openimaj.math.geometry.shape.Circle
-
Construct a circle with the given position and radius
- Circle(Circle) - Constructor for class org.openimaj.math.geometry.shape.Circle
-
Construct a circle with the given circle
- CircularInterestPointFeatureCollector - Class in org.openimaj.image.feature.local.detector.ipd.collector
-
Ignore the local shape of interest points, instead extracting a patch dependent on scale.
- CircularInterestPointFeatureCollector(InterestPointGradientFeatureExtractor) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointFeatureCollector
-
- CircularInterestPointKeypoint - Class in org.openimaj.image.feature.local.detector.ipd.collector
-
A keypoint with circular support
- CircularInterestPointKeypoint(int) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointKeypoint
-
Construct with a feature vector of the given length
- CircularInterestPointKeypoint(OrientedFeatureVector, InterestPointData) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointKeypoint
-
Construct with the given feature and circle
- circularSmooth(float[]) - Method in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor
-
Smooth the values in a circular buffer with a (1/3)[1,1,1] kernel.
- CitationAgent - Class in org.openimaj.citation
-
Java instrumentation agent for extracting references.
- CitationAgent() - Constructor for class org.openimaj.citation.CitationAgent
-
- CityLandscapeTree - Class in org.openimaj.classifier.citylandscape
-
Originally written by Ajay Mehta for his third year project.
- CityLandscapeTree(String, String) - Constructor for class org.openimaj.classifier.citylandscape.CityLandscapeTree
-
Default constructor that takes the two categories
to classifier between.
- CityLandscapeTree(String, String, InputStream, int) - Constructor for class org.openimaj.classifier.citylandscape.CityLandscapeTree
-
Constructor that takes the two categories to classify between,
an input stream that points to a training set file and the size
of that training set.
- CityLandscapeUtilities - Class in org.openimaj.classifier.citylandscape
-
Tool for building city/landscape classifiers
- CityLandscapeUtilities() - Constructor for class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
-
- clamp - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
Number of standard deviations from the mean face to allow in the
model
- clamp - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Number of standard deviations from the mean face to allow in the model
- ClassDef - Class in org.openimaj.rdf.owl2java
-
Represents the definition of an ontology class.
- ClassDef() - Constructor for class org.openimaj.rdf.owl2java.ClassDef
-
- classFile() - Method in enum org.openimaj.image.processing.face.detection.HaarCascadeDetector.BuiltInCascade
-
- ClassFinder - Class in org.openimaj.util.reflection
-
Utility methods for finding classes.
- ClassFinder() - Constructor for class org.openimaj.util.reflection.ClassFinder
-
- ClassificationAnalyser<RESULT extends AnalysisResult,CLASS,OBJECT> - Interface in org.openimaj.experiment.evaluation.classification
-
- ClassificationEvaluator<RESULT extends AnalysisResult,CLASS,OBJECT> - Class in org.openimaj.experiment.evaluation.classification
-
Implementation of an
Evaluator
for the evaluation of classification
experiments.
- ClassificationEvaluator(Classifier<CLASS, OBJECT>, Collection<OBJECT>, Map<OBJECT, Set<CLASS>>, ClassificationAnalyser<RESULT, CLASS, OBJECT>) - Constructor for class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
- ClassificationEvaluator(Classifier<CLASS, OBJECT>, Map<OBJECT, Set<CLASS>>, ClassificationAnalyser<RESULT, CLASS, OBJECT>) - Constructor for class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
- ClassificationEvaluator(Classifier<CLASS, OBJECT>, GroupedDataset<CLASS, ? extends ListDataset<OBJECT>, OBJECT>, ClassificationAnalyser<RESULT, CLASS, OBJECT>) - Constructor for class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
- ClassificationEvaluator(Map<OBJECT, ClassificationResult<CLASS>>, Map<OBJECT, Set<CLASS>>, ClassificationAnalyser<RESULT, CLASS, OBJECT>) - Constructor for class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
- ClassificationResult<CLASS> - Interface in org.openimaj.experiment.evaluation.classification
-
- ClassificationResultUtils - Class in org.openimaj.experiment.evaluation.classification
-
- classifier - Variable in class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
- Classifier<CLASS,OBJECT> - Interface in org.openimaj.experiment.evaluation.classification
-
Interface describing a classifier.
- Classifier - Interface in org.openimaj.image.objectdetection.haar
-
Interface for an individual Haar-like classifier.
- classifier - Variable in class org.openimaj.image.objectdetection.hog.HOGDetector
-
- classify(OBJECT) - Method in interface org.openimaj.experiment.evaluation.classification.Classifier
-
Classify an object.
- classify(SummedSqTiltAreaTable, float, int, int) - Method in interface org.openimaj.image.objectdetection.haar.Classifier
-
Get the classification score for the window at (x, y) with the size
defined by scale.
- classify(SummedSqTiltAreaTable, float, int, int) - Method in class org.openimaj.image.objectdetection.haar.HaarFeatureClassifier
-
- classify(SummedSqTiltAreaTable, int, int) - Method in class org.openimaj.image.objectdetection.haar.StageTreeClassifier
-
Apply the classifier to the given image at the given position.
- classify(SummedSqTiltAreaTable, float, int, int) - Method in class org.openimaj.image.objectdetection.haar.ValueClassifier
-
- classify(Rectangle) - Method in class org.openimaj.image.objectdetection.hog.HOGClassifier
-
- classify(OBJECT) - Method in class org.openimaj.ml.annotation.AbstractAnnotator
-
- classify(float[], List<ObjectFloatPair<StumpClassifier>>) - Static method in class org.openimaj.ml.classification.boosting.AdaBoost
-
- classify(float[], List<ObjectFloatPair<StumpClassifier>>, float) - Static method in class org.openimaj.ml.classification.boosting.AdaBoost
-
- classify(float[]) - Method in class org.openimaj.ml.classification.StumpClassifier
-
- classify(float) - Method in class org.openimaj.ml.classification.StumpClassifier
-
- classify(double[], double[]) - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Determine if two features are from the same class or different classes.
- classify(String) - Method in class org.openimaj.text.nlp.language.LanguageDetector
-
Classify the language using a naive-bayes model
- classify(FImage) - Method in class org.openimaj.tools.ocr.KNNCharacterClassifier
-
Classify the given image with the nearest neighbour classifier.
- classifyImage(FImage, int) - Method in class org.openimaj.classifier.citylandscape.CityLandscapeTree
-
Classifies the given image.
- classifyImage(ArrayList<Double>, int, int) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
-
Takes query vector to compare with integer k images from the training set
- classifyImage(T) - Method in interface org.openimaj.image.model.ImageClassificationModel
-
Classify the given image and return the corresponding probability map
- classifyImage(T) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
-
- classifyImage(T) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
-
- classifyPatch(MBFImage) - Method in class org.openimaj.image.model.patch.HistogramPatchModel
-
- classifyPatch(T) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
-
Classify a patch, returning the probability of the central pixel
belonging to the class.
- classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
-
- classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.OrthotopePixelModel
-
- classifyPixel(Q) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
-
- classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
-
- ClassLoaderTransform - Class in org.openimaj.aop.classloader
-
ClassLoaderTransform
provides an alternative to using a java agent to
perform byte-code manipulation by providing a classloader that will
automatically transform classes as they are loaded.
- ClassLoaderTransform() - Constructor for class org.openimaj.aop.classloader.ClassLoaderTransform
-
- classMap - Variable in class org.openimaj.ml.annotation.svm.SVMAnnotator
-
Stores the mapping between the positive and negative class and the annotation
- ClassTransformer - Interface in org.openimaj.aop
-
An interface for objects capable of performing modifications
to a class before it's loaded.
- CLConvolve2D<I extends Image<?,I>> - Class in org.openimaj.image.processing.convolution
-
Simple 2D convolution.
- CLConvolve2D(CLContext, float[][]) - Constructor for class org.openimaj.image.processing.convolution.CLConvolve2D
-
Construct the convolution operator with the given kernel and OpenCL
context
- clean(Element, String) - Method in class org.openimaj.web.readability.Readability
-
Clean a node of all elements of type "tag".
- cleanConditionally(Element, String) - Method in class org.openimaj.web.readability.Readability
-
Clean an element of all tags of type "tag" if they look fishy.
- cleanHeaders(Element) - Method in class org.openimaj.web.readability.Readability
-
Clean out spurious headers from an Element.
- cleanStyles() - Method in class org.openimaj.web.readability.Readability
-
- cleanStyles(Element) - Method in class org.openimaj.web.readability.Readability
-
Remove the style attribute on every e and under.
- cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.downloader.DownloadMapper
-
- cleanup(Mapper<Text, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect.Map
-
- cleanup(Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect.Map
-
- cleanup(Mapper<LongWritable, Text, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.Map
-
- cleanup(Reducer<LongWritable, BytesWritable, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.TimeIndexReducer
-
- cleanup(Mapper<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexMapper
-
- cleanup() - Method in class org.openimaj.picslurper.DownloadBolt
-
- cleanup() - Method in class org.openimaj.picslurper.PrintBolt
-
- cleanup() - Method in class org.openimaj.storm.bolt.PrintingBolt
-
- clear() - Method in class net.lag.kestrel.thrift.Item
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- clear() - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- clear() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- clear() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- clear(Class<T>, Object...) - Static method in class org.openimaj.io.Cache
-
Clear the cache entry for a given clazz and a set of constructors
- clear(Cachable) - Static method in class org.openimaj.io.Cache
-
Clear the cache entry for a given cachable object
- clear() - Method in class org.openimaj.math.util.RunningStat
-
Reset the running stats
- clear() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Atomically removes all of the elements from this queue.
- clear() - Method in class org.openimaj.util.set.DisjointSetForest
-
- clearBeforeDraw - Variable in class org.openimaj.vis.VisualisationImpl
-
Whether to clear the image before redrawing
- clearData() - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
Clear the data list.
- clearData() - Method in class org.openimaj.vis.world.WorldMap
-
- clearHistograms() - Method in class org.openimaj.image.saliency.DepthOfFieldEstimator
-
- clearIterator() - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Remove the temporary objects created during iteration.
- Client(TProtocol) - Constructor for class net.lag.kestrel.thrift.Kestrel.Client
-
- Client(TProtocol, TProtocol) - Constructor for class net.lag.kestrel.thrift.Kestrel.Client
-
- CLImageAnalyser<I extends Image<?,I>> - Class in org.openimaj.image.processing
-
- CLImageAnalyser(CLProgram) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct with the given OpenCL program
- CLImageAnalyser(String...) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct with the given OpenCL program source, given in
the form of
String
s.
- CLImageAnalyser(URL) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct with the program sourcecode at the given URL.
- CLImageAnalyser(InputStream) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct by reading the program source from a stream
- CLImageAnalyser(CLContext, CLProgram) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct with the given OpenCL program
- CLImageAnalyser(CLContext, String...) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct with the given OpenCL program source, given in
the form of
String
s.
- CLImageAnalyser(CLKernel) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct with the given OpenCL kernel
- CLImageAnalyser(CLContext, URL) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct with the program sourcecode at the given URL.
- CLImageAnalyser(CLContext, InputStream) - Constructor for class org.openimaj.image.processing.CLImageAnalyser
-
Construct by reading the program source from a stream
- CLImageArithmetic - Class in org.openimaj.image.processing
-
Simple image arithmetic functions implemented using OpenCL.
- CLImageArithmetic() - Constructor for class org.openimaj.image.processing.CLImageArithmetic
-
Default constructor.
- CLImageArithmetic(CLContext) - Constructor for class org.openimaj.image.processing.CLImageArithmetic
-
Construct with the given context.
- CLImageConversion - Class in org.openimaj.image
-
Utility methods for converting between OpenIMAJ
Image
types
and
CLImage2D
s for GPGPU acceleration.
- CLImageProcessor<I extends Image<?,I>> - Class in org.openimaj.image.processing
-
- CLImageProcessor(CLProgram) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct with the given OpenCL program
- CLImageProcessor(String...) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct with the given OpenCL program source, given in
the form of
String
s.
- CLImageProcessor(URL) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct with the program sourcecode at the given URL.
- CLImageProcessor(InputStream) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct by reading the program source from a stream
- CLImageProcessor(CLContext, CLProgram) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct with the given OpenCL program
- CLImageProcessor(CLContext, String...) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct with the given OpenCL program source, given in
the form of
String
s.
- CLImageProcessor(CLKernel) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct with the given OpenCL kernel
- CLImageProcessor(CLContext, URL) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct with the program sourcecode at the given URL.
- CLImageProcessor(CLContext, InputStream) - Constructor for class org.openimaj.image.processing.CLImageProcessor
-
Construct by reading the program source from a stream
- clip(Float, Float) - Method in class org.openimaj.image.FImage
-
Sets any pixels that are below min
to zero or above
max
to the highest normal value that the image allows
(usually 1 for floating-point images).
- clip(Q, Q) - Method in class org.openimaj.image.Image
-
Sets any pixels that are below min
to zero or above
max
to the highest normal value that the image allows
(usually 1 for floating-point images).
- clip(T, T) - Method in class org.openimaj.image.MultiBandImage
-
Sets any pixels that are below min to zero or above max to the highest
normal value that the image allows (usually 1 for floating-point images).
- clip(T[], T[]) - Method in class org.openimaj.image.MultiBandImage
-
Sets any pixels that are below min
to zero or above
max
to the highest normal value that the image allows
(usually 1 for floating-point images).
- clip(Float[], Float[]) - Method in class org.openimaj.image.SVGImage
-
- CLIP - Static variable in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
CLIP
- clipMax(Float) - Method in class org.openimaj.image.FImage
-
Set all values greater than the given value to the highest normal value
that the image allows (usually 1 for floating-point images).
- clipMax(Q) - Method in class org.openimaj.image.Image
-
Set all values greater than the given value to the highest normal value
that the image allows (usually 1 for floating-point images).
- clipMax(T) - Method in class org.openimaj.image.MultiBandImage
-
For all bands, sets any values above the given threshold to zero.
- clipMax(T[]) - Method in class org.openimaj.image.MultiBandImage
-
Set all values greater than the given value to the highest normal value
that the image allows (usually 1 for floating-point images).
- clipMax(Float[]) - Method in class org.openimaj.image.SVGImage
-
- clipMaxInplace(double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- clipMin(Float) - Method in class org.openimaj.image.FImage
-
Set all values less than the given value to zero.
- clipMin(Q) - Method in class org.openimaj.image.Image
-
Set all values less than the given value to zero.
- clipMin(T) - Method in class org.openimaj.image.MultiBandImage
-
Sets all pixels in all bands that have a value below the given threshold
to zero.
- clipMin(T[]) - Method in class org.openimaj.image.MultiBandImage
-
Set all values less than the given value to zero.
- clipMin(Float[]) - Method in class org.openimaj.image.SVGImage
-
- CLM - Class in com.jsaragih
-
Constrained Local Model
- CLM(PDM, Matrix, Matrix[], Matrix[], MPatch[][]) - Constructor for class com.jsaragih.CLM
-
Construct CLM
- clm - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
The constrained local model
- clm - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
The constrained local model
- clm - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackerVars
-
The constrained local model
- CLMAligner - Class in org.openimaj.image.processing.face.alignment
-
- CLMAligner() - Constructor for class org.openimaj.image.processing.face.alignment.CLMAligner
-
- CLMAligner(int) - Constructor for class org.openimaj.image.processing.face.alignment.CLMAligner
-
- CLMAligner(int, CLMFaceDetector.Configuration) - Constructor for class org.openimaj.image.processing.face.alignment.CLMAligner
-
- CLMDetectedFace - Class in org.openimaj.image.processing.face.detection
-
A constrained local model detected face.
- CLMDetectedFace() - Constructor for class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
- CLMDetectedFace(MultiTracker.TrackedFace, FImage) - Constructor for class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
- CLMDetectedFace(Rectangle, Matrix, Matrix, Matrix, Matrix, FImage) - Constructor for class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Construct with the given bounds, shape and pose parameters and detection
image.
- CLMDetectedFaceRenderer - Class in org.openimaj.image.processing.face.util
-
- CLMDetectedFaceRenderer() - Constructor for class org.openimaj.image.processing.face.util.CLMDetectedFaceRenderer
-
Loads the triangles and connections used to render
- CLMFaceDetector - Class in org.openimaj.image.processing.face.detection
-
Face detector based on a constrained local model.
- CLMFaceDetector() - Constructor for class org.openimaj.image.processing.face.detection.CLMFaceDetector
-
Default constructor
- CLMFaceDetector.Configuration - Class in org.openimaj.image.processing.face.detection
-
Configuration for the face detector
- CLMFaceTracker - Class in org.openimaj.image.processing.face.tracking.clm
-
CLM-based face tracker
- CLMFaceTracker() - Constructor for class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Instantiates a tracker for tracking faces based on some default values
and models.
- CLMPoseFeature - Class in org.openimaj.image.processing.face.feature
-
A feature-vector that describes the pose of a face in 3D space in terms of
its pitch, yaw and roll.
- CLMPoseFeature() - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseFeature
-
- CLMPoseFeature(DoubleFV) - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseFeature
-
- CLMPoseFeature.Extractor - Class in org.openimaj.image.processing.face.feature
-
- CLMPoseShapeFeature - Class in org.openimaj.image.processing.face.feature
-
A feature-vector that describes the pose and shape of a face.
- CLMPoseShapeFeature() - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature
-
- CLMPoseShapeFeature(DoubleFV) - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature
-
- CLMPoseShapeFeature.Extractor - Class in org.openimaj.image.processing.face.feature
-
- CLMShapeFeature - Class in org.openimaj.image.processing.face.feature
-
A feature-vector that describes the shape of a face through a list of
eigen-weights on a point distribution model.
- CLMShapeFeature() - Constructor for class org.openimaj.image.processing.face.feature.CLMShapeFeature
-
- CLMShapeFeature(DoubleFV) - Constructor for class org.openimaj.image.processing.face.feature.CLMShapeFeature
-
- CLMShapeFeature.Extractor - Class in org.openimaj.image.processing.face.feature
-
- clone() - Method in class org.openimaj.audio.AudioFormat
- clone() - Method in class org.openimaj.audio.SampleChunk
- clone() - Method in class org.openimaj.audio.timecode.AudioTimecode
-
Clone this timecode.
- clone() - Method in class org.openimaj.feature.ByteFV
-
- clone() - Method in class org.openimaj.feature.DoubleFV
-
- clone() - Method in class org.openimaj.feature.FloatFV
-
- clone() - Method in class org.openimaj.feature.IntFV
-
- clone() - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- clone() - Method in class org.openimaj.feature.local.SpatialLocation
-
- clone() - Method in class org.openimaj.feature.LongFV
-
- clone() - Method in class org.openimaj.feature.MultidimensionalByteFV
-
- clone() - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
- clone() - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
- clone() - Method in class org.openimaj.feature.MultidimensionalIntFV
-
- clone() - Method in class org.openimaj.feature.MultidimensionalLongFV
-
- clone() - Method in class org.openimaj.feature.MultidimensionalShortFV
-
- clone() - Method in class org.openimaj.feature.ShortFV
-
- clone() - Method in class org.openimaj.image.analysis.watershed.Component
-
- clone() - Method in interface org.openimaj.image.analysis.watershed.feature.ComponentFeature
-
Create a clone of this feature
- clone() - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
- clone() - Method in class org.openimaj.image.analysis.watershed.feature.PixelsFeature
-
- clone() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
- clone() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ApproximateDenseSIFT
-
- clone() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- clone() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- clone() - Method in class org.openimaj.image.feature.local.interest.EllipticInterestPointData
-
- clone() - Method in class org.openimaj.image.feature.local.interest.HarrisIPD
-
- clone() - Method in class org.openimaj.image.feature.local.interest.HessianIPD
-
- clone() - Method in class org.openimaj.image.feature.local.interest.InterestPointData
-
- clone() - Method in class org.openimaj.image.feature.local.interest.LaplaceIPD
-
- clone() - Method in class org.openimaj.image.feature.local.interest.QuadratureIPD
-
- clone() - Method in class org.openimaj.image.feature.local.interest.RidgeIPD
-
- clone() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- clone() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- clone() - Method in class org.openimaj.image.FImage
-
Deep copy of an image (internal image buffers copied).
- clone() - Method in class org.openimaj.image.Image
-
Deep copy of an image (internal image buffers copied).
- clone() - Method in interface org.openimaj.image.model.ImageClassificationModel
-
- clone() - Method in class org.openimaj.image.model.patch.HistogramPatchModel
-
- clone() - Method in class org.openimaj.image.model.patch.PatchClassificationModel
-
- clone() - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
-
- clone() - Method in class org.openimaj.image.model.pixel.OrthotopePixelModel
-
- clone() - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
-
- clone() - Method in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
-
- clone() - Method in class org.openimaj.image.MultiBandImage
-
Deep copy of an image (internal image buffers copied).
- clone() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Performs a deep copy on the connected component; that is, all pixels are
also cloned.
- clone() - Method in class org.openimaj.image.pixel.Pixel
- clone() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
-
- clone() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
-
- clone() - Method in class org.openimaj.image.renderer.SVGRenderer
-
- clone() - Method in class org.openimaj.image.SingleBandImage
-
Deep copy of an image (internal image buffers copied).
- clone() - Method in class org.openimaj.image.SVGImage
-
- clone() - Method in class org.openimaj.math.geometry.line.Line2d
-
- clone() - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- clone() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- clone() - Method in class org.openimaj.math.geometry.point.PointList
-
- clone() - Method in class org.openimaj.math.geometry.shape.Circle
-
- clone() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- clone() - Method in class org.openimaj.math.geometry.shape.Polygon
- clone() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- clone() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- clone() - Method in interface org.openimaj.math.geometry.shape.Shape
-
- clone() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- clone() - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel
-
- clone() - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel3d
-
- clone() - Method in class org.openimaj.math.geometry.transforms.FundamentalModel
-
Clone the model
- clone() - Method in class org.openimaj.math.geometry.transforms.HomographyModel
-
- clone() - Method in class org.openimaj.math.geometry.transforms.NullModel
-
- clone() - Method in class org.openimaj.math.geometry.transforms.RigidTransformModel3d
-
- clone() - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
- clone() - Method in interface org.openimaj.math.model.EstimatableModel
-
Clone the model
- clone() - Method in class org.openimaj.math.model.GaussianVectorNaiveBayesModel
-
- clone() - Method in class org.openimaj.math.model.LeastSquaresLinearModel
-
- clone() - Method in class org.openimaj.math.model.UnivariateGaussianNaiveBayesModel
-
- clone() - Method in class org.openimaj.math.statistics.distribution.Histogram
-
- clone() - Method in class org.openimaj.math.statistics.distribution.MultidimensionalHistogram
-
- clone() - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
- clone() - Method in class org.openimaj.ml.gmm.GaussianMixtureModelEM
-
- clone() - Method in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
- clone() - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- clone() - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- clone() - Method in class org.openimaj.ml.linear.learner.perceptron.SimplePerceptron
-
- clone() - Method in class org.openimaj.ml.regression.LinearRegression
-
- clone() - Method in class org.openimaj.picslurper.output.WriteableImageOutput
-
- clone() - Method in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
- clone() - Method in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF
-
- clone() - Method in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Clue
-
- clone() - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- clone() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- clone() - Method in interface org.openimaj.time.Timecode
-
Clone this timecode.
- clone() - Method in class org.openimaj.twitter.USMFStatus
-
- clone(Class<T>) - Method in class org.openimaj.twitter.USMFStatus
-
Clones the tweet to the given class.
- clone() - Method in class org.openimaj.util.array.ByteArrayView
-
- clone() - Method in class org.openimaj.util.array.DoubleArrayView
-
- clone() - Method in class org.openimaj.util.array.FloatArrayView
-
- clone() - Method in class org.openimaj.util.array.IntArrayView
-
- clone() - Method in class org.openimaj.util.array.LongArrayView
-
- clone() - Method in class org.openimaj.util.array.ShortArrayView
-
- clone() - Method in class org.openimaj.util.data.Context
-
- clone() - Method in class org.openimaj.video.processing.shotdetector.VideoKeyframe
- clone() - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode
-
Clone this timecode.
- clone() - Method in class org.openimaj.video.timecode.HrsMinSecFrameTimecode
-
Clone this timecode.
- clone() - Method in class org.openimaj.video.timecode.VideoTimecode
-
Clone this timecode.
- clone() - Method in class org.openimaj.video.tracking.klt.Feature
-
- clone() - Method in class org.openimaj.video.tracking.klt.FeatureList
-
- clone() - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- close() - Method in class backtype.storm.spout.KestrelThriftClient
-
- close() - Method in class backtype.storm.spout.KestrelThriftSpout
-
- close() - Method in class backtype.storm.spout.UnreliableKestrelThriftSpout
-
- close() - Method in class org.openimaj.content.slideshow.AudioVideoSlide
-
- close() - Method in class org.openimaj.content.slideshow.PictureSlide
-
- close() - Method in interface org.openimaj.content.slideshow.Slide
-
Close the current slide.
- close() - Method in class org.openimaj.content.slideshow.VideoSlide
-
- close() - Method in class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileRecordReader
-
- close() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Close the underlying writer.
- close() - Method in class org.openimaj.hardware.kinect.KinectController
-
Close the device.
- close() - Method in class org.openimaj.hardware.serial.SerialDevice
-
Close the connection to the serial port.
- close() - Method in class org.openimaj.hardware.serial.SerialReader
-
- close() - Method in class org.openimaj.hardware.turntable.Turntable
-
Close the connection to the turntable.
- Close - Class in org.openimaj.image.processing.morphology
-
Morphological closing of connected components and (assumed binary) FImages.
- Close(StructuringElement) - Constructor for class org.openimaj.image.processing.morphology.Close
-
Construct the close operator with the given structuring element
- Close() - Constructor for class org.openimaj.image.processing.morphology.Close
-
Construct the close operator with a BOX structuring element
- close() - Method in class org.openimaj.kestrel.KestrelServerSpec
-
- close() - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
- close() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Close the polygon if it's not already closed
- close() - Method in class org.openimaj.picslurper.LocalTweetSpout
-
- close() - Method in class org.openimaj.tools.clusterquantiser.FeatureFile
-
close any connection to the underlying file
- close() - Method in class org.openimaj.tools.clusterquantiser.MemoryFeatureFile
-
- close() - Method in class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
- close() - Method in class org.openimaj.util.stream.BlockingDroppingBufferedStream
-
Close the stream (make hasNext return false)
- close() - Method in class org.openimaj.video.capture.VideoCapture
-
- close() - Method in class org.openimaj.video.Video
-
Close the video object
- close() - Method in class org.openimaj.video.VideoDisplay
-
Close the video display.
- close() - Method in class org.openimaj.video.xuggle.XuggleAudio
-
Close the audio stream.
- close() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Close the video object
- close() - Method in class org.openimaj.video.xuggle.XuggleVideoWriter
-
Close the video stream
- close() - Method in class org.openimaj.vis.general.JOGLWindow
-
Closes the window and cleans up.
- closestPoint(Point2d) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Find the closest point on the polygon to the given point
- CLSobel - Class in org.openimaj.image.processing.convolution
-
OpenCL implementation of a 3x3 Sobel operator.
- CLSobel() - Constructor for class org.openimaj.image.processing.convolution.CLSobel
-
Default Constructor
- CLSobel(CLContext) - Constructor for class org.openimaj.image.processing.convolution.CLSobel
-
Construct with context.
- Clue() - Constructor for class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Clue
-
- cluster(DATA) - Method in interface org.openimaj.ml.clustering.DataClusterer
-
- cluster(SparseMatrix) - Method in class org.openimaj.ml.clustering.dbscan.DistanceDBSCAN
-
- cluster(double[][]) - Method in class org.openimaj.ml.clustering.dbscan.DoubleNNDBSCAN
-
- cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.dbscan.DoubleNNDBSCAN
-
- cluster(SparseMatrix) - Method in class org.openimaj.ml.clustering.dbscan.SimilarityDBSCAN
-
- cluster(SparseMatrix) - Method in class org.openimaj.ml.clustering.incremental.IncrementalSparseClusterer
-
- cluster(double[][]) - Method in class org.openimaj.ml.clustering.kdtree.DoubleKDTreeClusterer
-
- cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.kdtree.DoubleKDTreeClusterer
-
- cluster(byte[][]) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
- cluster(DataSource<byte[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Initiate clustering with the given data and number of clusters.
- cluster(byte[][], ByteKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Main clustering algorithm.
- cluster(DataSource<byte[]>, ByteKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Main clustering algorithm.
- cluster(DataSource<byte[]>) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
- cluster(double[][]) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- cluster(DataSource<double[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Initiate clustering with the given data and number of clusters.
- cluster(double[][], DoubleKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Main clustering algorithm.
- cluster(DataSource<double[]>, DoubleKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Main clustering algorithm.
- cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- cluster(List<T>) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Perform clustering on the given data.
- cluster(T[]) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
- cluster(DataSource<T>, int) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Initiate clustering with the given data and number of clusters.
- cluster(T[], FeatureVectorKMeans.Result<T>) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Main clustering algorithm.
- cluster(DataSource<T>, FeatureVectorKMeans.Result<T>) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Main clustering algorithm.
- cluster(DataSource<T>) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
- cluster(float[][]) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
- cluster(DataSource<float[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Initiate clustering with the given data and number of clusters.
- cluster(float[][], FloatKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Main clustering algorithm.
- cluster(DataSource<float[]>, FloatKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Main clustering algorithm.
- cluster(DataSource<float[]>) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
- cluster(byte[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeans
-
- cluster(DataSource<byte[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeans
-
- cluster(double[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeans
-
- cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeans
-
- cluster(float[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeans
-
- cluster(DataSource<float[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeans
-
- cluster(int[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeans
-
- cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeans
-
- cluster(long[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeans
-
- cluster(DataSource<long[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeans
-
- cluster(short[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeans
-
- cluster(DataSource<short[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeans
-
- cluster(int[][]) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
- cluster(DataSource<int[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Initiate clustering with the given data and number of clusters.
- cluster(int[][], IntKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Main clustering algorithm.
- cluster(DataSource<int[]>, IntKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Main clustering algorithm.
- cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
- cluster(long[][]) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
- cluster(DataSource<long[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Initiate clustering with the given data and number of clusters.
- cluster(long[][], LongKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Main clustering algorithm.
- cluster(DataSource<long[]>, LongKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Main clustering algorithm.
- cluster(DataSource<long[]>) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
- cluster(short[][]) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
- cluster(DataSource<short[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Initiate clustering with the given data and number of clusters.
- cluster(short[][], ShortKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Main clustering algorithm.
- cluster(DataSource<short[]>, ShortKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Main clustering algorithm.
- cluster(DataSource<short[]>) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
- cluster(double[][]) - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
- cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
- cluster(int[][]) - Method in class org.openimaj.ml.clustering.rac.ClusterLimitedIntRAC
-
- cluster(int[][]) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- cluster(byte[][]) - Method in class org.openimaj.ml.clustering.random.RandomByteClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<byte[]>) - Method in class org.openimaj.ml.clustering.random.RandomByteClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(SparseMatrix) - Method in class org.openimaj.ml.clustering.random.RandomClusterer
-
- cluster(double[][]) - Method in class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(float[][]) - Method in class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<float[]>) - Method in class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(int[][]) - Method in class org.openimaj.ml.clustering.random.RandomIntClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.random.RandomIntClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(long[][]) - Method in class org.openimaj.ml.clustering.random.RandomLongClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<long[]>) - Method in class org.openimaj.ml.clustering.random.RandomLongClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(byte[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetByteClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<byte[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetByteClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(double[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetDoubleClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetDoubleClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(float[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetFloatClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<float[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetFloatClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(int[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetIntClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetIntClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(long[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetLongClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<long[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetLongClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(short[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetShortClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<short[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetShortClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(short[][]) - Method in class org.openimaj.ml.clustering.random.RandomShortClusterer
-
Selects K elements from the provided data as the centroids of the clusters.
- cluster(DataSource<short[]>) - Method in class org.openimaj.ml.clustering.random.RandomShortClusterer
-
Selects K elements from the provided
DataSource
as the centroids of the clusters.
- cluster(int[][]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- cluster(DATATYPE[]) - Method in interface org.openimaj.ml.clustering.SpatialClusterer
-
Perform clustering on the given data.
- cluster(DataSource<DATATYPE>) - Method in interface org.openimaj.ml.clustering.SpatialClusterer
-
Perform clustering with data from a data source.
- cluster(List<SparseMatrix>) - Method in class org.openimaj.ml.clustering.spectral.DoubleMultiviewSpectralClustering
-
- cluster(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- cluster(Eigenvalues) - Method in class org.openimaj.ml.clustering.spectral.PreparedSpectralClustering
-
- Cluster - Class in org.openimaj.workinprogress
-
- Cluster() - Constructor for class org.openimaj.workinprogress.Cluster
-
- CLUSTER_HEADER - Static variable in interface org.openimaj.ml.clustering.Clusters
-
The default cluster header
- ClusterAnalyser<T extends AnalysisResult> - Interface in org.openimaj.experiment.evaluation.cluster.analyser
-
- ClusterAnalyserUtils - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
- ClusterAnalyserUtils() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.ClusterAnalyserUtils
-
- clusterClass - Variable in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- clusterDistance(SparseMatrix) - Method in class org.openimaj.ml.clustering.dbscan.DistanceDBSCAN
-
- clusterDistance(SparseMatrix) - Method in interface org.openimaj.ml.clustering.DistanceClusterer
-
- Clusterer<DATA> - Interface in org.openimaj.experiment.evaluation.cluster.processor
-
Something which wraps the functionality of producing clusters
- ClusterEvalDataset - Class in org.openimaj.experiment.dataset.cluster
-
Reads datasets of items and cluster labels from the clustereval tool:
http://chris.de-vries.id.au/2013/06/clustereval-10-release.html
The general format of clustereval is:
item cluster_label*
- ClusterEvalDataset(String) - Constructor for class org.openimaj.experiment.dataset.cluster.ClusterEvalDataset
-
Read from this file location
- ClusterEvalDataset(File) - Constructor for class org.openimaj.experiment.dataset.cluster.ClusterEvalDataset
-
Load this file as a dataset
- ClusterEvalDataset(InputStream) - Constructor for class org.openimaj.experiment.dataset.cluster.ClusterEvalDataset
-
Read the clusters from this stream
- ClusterEvaluator<D,T extends AnalysisResult> - Class in org.openimaj.experiment.evaluation.cluster
-
- ClusterEvaluator(Clusterer<D>, D, int[][], ClusterAnalyser<T>) - Constructor for class org.openimaj.experiment.evaluation.cluster.ClusterEvaluator
-
- ClusterEvaluator(Clusterer<D>, D, Map<A, ? extends List<B>>, ClusterAnalyser<T>) - Constructor for class org.openimaj.experiment.evaluation.cluster.ClusterEvaluator
-
- ClusterEvaluator(Clusterer<D>, D, Function<B, Integer>, Map<A, ? extends List<B>>, ClusterAnalyser<T>) - Constructor for class org.openimaj.experiment.evaluation.cluster.ClusterEvaluator
-
- ClusterEvaluator(Clusterer<D>, Map<A, ? extends List<B>>, Function<List<B>, D>, ClusterAnalyser<T>) - Constructor for class org.openimaj.experiment.evaluation.cluster.ClusterEvaluator
-
- ClusterLimitedIntRAC - Class in org.openimaj.ml.clustering.rac
-
Similar to
IntRAC
but explicitly specify the limit the number of
clusters.
- ClusterLimitedIntRAC() - Constructor for class org.openimaj.ml.clustering.rac.ClusterLimitedIntRAC
-
Sets the expected number of clusters to 100 and radius to 128.
- ClusterLimitedIntRAC(double) - Constructor for class org.openimaj.ml.clustering.rac.ClusterLimitedIntRAC
-
Set the number of clusters to 100.
- ClusterLimitedIntRAC(int[][], int, int) - Constructor for class org.openimaj.ml.clustering.rac.ClusterLimitedIntRAC
-
Attempt to learn the threshold and uses this as an expected number of
clusters.
- ClusterQuantiser - Class in org.openimaj.tools.clusterquantiser
-
A tool for clustering and quantising local features.
- ClusterQuantiser() - Constructor for class org.openimaj.tools.clusterquantiser.ClusterQuantiser
-
- ClusterQuantiserOptions - Class in org.openimaj.tools.clusterquantiser
-
- ClusterQuantiserOptions(String[]) - Constructor for class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
Construct with arguments
- ClusterQuantiserOptions() - Constructor for class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
Construct with defaults
- Clusters - Interface in org.openimaj.ml.clustering
-
Interface to represent the result of a clustering operation
- clusters - Variable in class org.openimaj.ml.clustering.IndexClusters
-
- clusters() - Method in class org.openimaj.ml.clustering.IndexClusters
-
Get the number of clusters.
- clusterSimilarity(SparseMatrix) - Method in class org.openimaj.ml.clustering.dbscan.SimilarityDBSCAN
-
- clusterSimilarity(SparseMatrix) - Method in interface org.openimaj.ml.clustering.SimilarityClusterer
-
- clusterSimilarity(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- ClusterStatsAnalyser - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Analysers extracts stats of the correct and estimated clusterings
- ClusterStatsAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalyser
-
- ClusterStatsAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Counts some overall statistics of cluster evaluation such as min, max and average cluster length
- ClusterStatsAnalysis() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalysis
-
- ClusterTest - Class in org.openimaj.demos
-
- ClusterTest() - Constructor for class org.openimaj.demos.ClusterTest
-
- ClusterTestDataLoader - Class in org.openimaj.ml.clustering.kdtree
-
Load clusters from http://people.cs.nctu.edu.tw/~rsliang/dbscan/testdatagen.html
- ClusterTestDataLoader() - Constructor for class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader
-
- ClusterTestDataLoader(int, boolean) - Constructor for class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader
-
- ClusterTestDataLoader.TestStats - Class in org.openimaj.ml.clustering.kdtree
-
Test details
- ClusterType - Enum in org.openimaj.tools.clusterquantiser
-
Different clustering algorithms
- ClusterType.ClusterTypeOp - Class in org.openimaj.tools.clusterquantiser
-
- clusterTypeOp - Variable in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- ClusterTypeOp() - Constructor for class org.openimaj.tools.clusterquantiser.ClusterType.ClusterTypeOp
-
- clz - Variable in class org.openimaj.ml.clustering.assignment.hard.ExactFeatureVectorAssigner
-
- clz - Variable in class org.openimaj.util.list.AbstractFileBackedList
-
- clz - Variable in class org.openimaj.util.list.AbstractStreamBackedList
-
The class from which to generate an instance of items held in the list
- cm - Variable in class org.openimaj.tools.localfeature.options.LocalFeatureMode.AbstractDoGSIFTModeOp
-
- CMAggregator<CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix
-
- CMAggregator() - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAggregator
-
- CMAnalyser<OBJECT,CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix
-
- CMAnalyser(CMAnalyser.Strategy) - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAnalyser
-
Construct with the given strategy for building the confusion matrix
- CMAnalyser.Strategy - Enum in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix
-
Strategies for building confusion matrices
- CmdLineOptionsProvider - Interface in org.kohsuke.args4j
-
Interface for objects that have associated objects that can
provide args4j options and arguments.
- cmOp - Variable in class org.openimaj.tools.localfeature.options.LocalFeatureMode.AbstractDoGSIFTModeOp
-
- CMResult<CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix
-
Results of a confusion matrix analysis using the
CMAnalyser
.
- CMResult(ConfusionMatrix<CLASS>) - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMResult
-
Construct with a ConfusionMatrix
.
- code - Variable in class org.openimaj.image.feature.astheticode.Aestheticode
-
The actual code
- code4(Pixel, Pixel) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
For the two pixels, determines the 4-connected chain code that will move
from the first pixel to the next.
- code8(Pixel, Pixel) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
For the two pixels, determines the 8-connected chain code that will move
from the first pixel to the next.
- codebook - Variable in class org.openimaj.ml.clustering.rac.IntRAC
-
- CohensKappaInterraterAgreement - Class in org.openimaj.experiment.evaluation.agreement
-
Calculates the interrater agreement for a given dataset between two (and only
two) raters.
- CohensKappaInterraterAgreement() - Constructor for class org.openimaj.experiment.evaluation.agreement.CohensKappaInterraterAgreement
-
- coherentHistogram - Variable in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector.EdgeDirectionCoherenceHistogram
-
The coherent part of the histogram
- collectionByNames(String...) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- collectionByNames(Collection<String>) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- CollectionComparisonTool - Class in org.openimaj.tools.globalfeature
-
This is a stand-alone tool that provides a means for comparing a
collection of images against each other.
- CollectionComparisonTool() - Constructor for class org.openimaj.tools.globalfeature.CollectionComparisonTool
-
- CollectionSampler<T> - Interface in org.openimaj.util
-
Interface defining an object capable of sampling a collection.
- CollectionStream<T> - Class in org.openimaj.util.stream
-
- CollectionStream(Collection<T>) - Constructor for class org.openimaj.util.stream.CollectionStream
-
Construct with the given collection.
- Collector<OCTAVE extends Octave<?,?,IMAGE>,FEATURE extends LocalFeature<?,?>,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Interface in org.openimaj.image.feature.local.detector.dog.collector
-
A
Collector
gathers all the local features from the interest points
detected in a single
Octave
.
- collector - Variable in class org.openimaj.picslurper.LocalTweetSpout
-
- collector - Variable in class org.openimaj.storm.spout.SimpleSpout
-
- ColloquialismPatternProvider - Class in org.openimaj.text.nlp.patterns
-
Common colloquial statments (e.g.
- ColloquialismPatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.ColloquialismPatternProvider
-
- colMean(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- colmodel - Variable in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
- Colorfulness - Class in org.openimaj.image.feature.global
-
Implementation of Hasler and Susstruck's Colorfulness metric
http://infoscience.epfl.ch/record/33994/files/HaslerS03.pdf?version=1
- Colorfulness() - Constructor for class org.openimaj.image.feature.global.Colorfulness
-
- Colorfulness.ColorfulnessAttr - Enum in org.openimaj.image.feature.global
-
Classes of colourfulness
- colour - Variable in class org.openimaj.image.processor.connectedcomponent.render.AbstractRenderer
-
The colour the connected component will be written in
- COLOUR - Static variable in class org.openimaj.image.typography.FontStyle
-
Attribute for stroke colour.
- colour - Variable in class org.openimaj.image.typography.FontStyle
-
Stroke colour for drawing the associated text
- colour - Variable in class org.openimaj.vis.general.BarVisualisation.Bar
-
The colour of the bar
- colour - Variable in class org.openimaj.vis.general.DotPlotVisualisation.ColouredDot
-
The colour of the dot
- colour - Variable in class org.openimaj.vis.timeline.Timeline.TimelineMarker
-
The colour of the marker
- COLOUR_MAP - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- ColourASIFT - Class in org.openimaj.image.feature.local.affine
-
Colour Affine-simulated SIFT (CASIFT).
- ColourASIFT(DoGSIFTEngineOptions<MBFImage>) - Constructor for class org.openimaj.image.feature.local.affine.ColourASIFT
-
- ColourASIFT(boolean) - Constructor for class org.openimaj.image.feature.local.affine.ColourASIFT
-
Construct the ASIFT extractor using the default parameters for the
DoGSIFTEngine
, with the exception of the option to double the
size of the initial image which can be overridden.
- ColourASIFTEngine - Class in org.openimaj.image.feature.local.engine.asift
-
- ColourASIFTEngine() - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
Construct using 5 tilt levels and no initial double-sizing.
- ColourASIFTEngine(boolean) - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
Construct using 5 tilt levels with optional initial double-sizing.
- ColourASIFTEngine(boolean, int) - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
Construct using given number of tilt levels with optional initial
double-sizing.
- ColourASIFTEngine(DoGSIFTEngineOptions<MBFImage>) - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
Construct using 5 tilt levels and the given parameters for the internal
DoGSIFTEngine
.
- ColourASIFTEngine(DoGSIFTEngineOptions<MBFImage>, int) - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
Construct using the given numbe of tilt levels and parameters for the
internal
DoGSIFTEngine
.
- colourAverage(int) - Method in class org.openimaj.image.pixel.statistics.HistogramModel
-
For a given index, get the average colour which would map to it
- ColourContrast - Class in org.openimaj.image.feature.global
-
Implementation of a color contrast feature.
- ColourContrast() - Constructor for class org.openimaj.image.feature.global.ColourContrast
-
- ColourContrast(float, float, int) - Constructor for class org.openimaj.image.feature.global.ColourContrast
-
- ColourContrastExtractor - Class in org.openimaj.tools.globalfeature.type
-
Colour contrast
- ColourContrastExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.ColourContrastExtractor
-
- ColourDenseSIFT - Class in org.openimaj.image.feature.dense.gradient.dsift
-
Implementation of colour dense-sift.
- ColourDenseSIFT(DenseSIFT, ColourSpace) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- ColourDescriptor - Class in org.openimaj.image.connectedcomponent.proc
-
Descriptors based on the first-order statistics
of the colour of pixel values in an image.
- ColourDescriptor() - Constructor for class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
Construct with no image.
- ColourDescriptor(MBFImage) - Constructor for class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
Construct with the given image.
- ColourDescriptor.ColourDescriptorType - Enum in org.openimaj.image.connectedcomponent.proc
-
The different types of statistic available.
- ColouredDot(double, Float[]) - Constructor for class org.openimaj.vis.general.DotPlotVisualisation.ColouredDot
-
- ColourFacesExtractor - Class in org.openimaj.tools.globalfeature.type
-
Sandeep faces
- ColourFacesExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.ColourFacesExtractor
-
- ColourfulnessExtractor - Class in org.openimaj.tools.globalfeature.type
-
Colorfulness
- ColourfulnessExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.ColourfulnessExtractor
-
- ColourGradientFeatureExtractor - Class in org.openimaj.image.feature.local.detector.dog.extractor
-
Class capable of extracting local descriptors from a circular region in an
image defined by its scale and centre.
- ColourGradientFeatureExtractor(AbstractDominantOrientationExtractor, GradientFeatureProviderFactory) - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor
-
Construct with the given orientation extractor and gradient feature
provider.
- ColourGradientFeatureExtractor(AbstractDominantOrientationExtractor, GradientFeatureProviderFactory, float) - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor
-
Construct with the given orientation extractor, gradient feature provider
and magnification factor determining the size of the sampling region
relative to the scale of the interest point.
- ColourMap - Enum in org.openimaj.image.colour
-
Colour maps
- ColourMap.Mode - Enum in org.openimaj.image.colour
-
Colour map modes.
- ColourMap.Type - Enum in org.openimaj.image.colour
-
Types of colour map.
- colourRange(int) - Method in class org.openimaj.image.pixel.statistics.HistogramModel
-
For a given index, map to the range of colours which could map to it
- coloursFromMap(ColourMap, int) - Static method in class org.openimaj.image.colour.RGBColour
-
Generate a range of colours from a
ColourMap
.
- ColourSpace - Enum in org.openimaj.image.colour
-
Different colour space types with conversion methods.
- colourSpace - Variable in class org.openimaj.image.MultiBandImage
-
The colour-space of this image
- colourSpace - Variable in class org.openimaj.image.segmentation.KMColourSegmenter
-
- ColourSpaceAnimator - Class in org.openimaj.vis.animators
-
An animator that moves through a colour space from one colour to another.
- ColourSpaceAnimator(Float[], Float[], long) - Constructor for class org.openimaj.vis.animators.ColourSpaceAnimator
-
Construct the animator using the start and end colours and a duration (milliseconds)
- colourTemperatureCorrection(MBFImage, double, double) - Static method in class org.openimaj.image.colour.Transforms
-
Correct colour temperature using the method documented at Tanner Helland.
- colSparcity(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Compute the proportion of completely zero columns to columns with
non-zero values
- colSum(double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each column of a 2d array
- colSum(float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each column of a 2d array
- colSum(int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each column of a 2d array
- colSum(long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each column of a 2d array
- colSum(byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each column of a 2d array
- colSum(short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each column of a 2d array
- column(int) - Method in class ch.akuhn.matrix.Matrix
-
Get the given column as a vector
- columnCount() - Method in class ch.akuhn.matrix.DenseMatrix
-
- columnCount() - Method in class ch.akuhn.matrix.Matrix
-
Get the number of columns
- columnCount() - Method in class ch.akuhn.matrix.SparseMatrix
-
- columnCount() - Method in class ch.akuhn.matrix.SymmetricMatrix
-
- columnCount() - Method in class org.openimaj.math.matrix.DiagonalMatrix
-
- columnCount() - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
- columns() - Method in class ch.akuhn.matrix.Matrix
-
- com.jsaragih - package com.jsaragih
-
- com.thebuzzmedia.exiftool - package com.thebuzzmedia.exiftool
-
- Combine() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Combine
-
- combine(TimeFrequencyHolder.TimeFrequency) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency
-
- combine(long, long) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency
-
- combine(TweetCountWordMap) - Method in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
Add values from "that" to those in this if they exist, otherwise create the element
and start a new count
- combine(MBFImage, MBFImage) - Method in class org.openimaj.image.analysis.colour.CIEDE2000
-
- combine() - Method in interface org.openimaj.image.combiner.AccumulatingImageCombiner
-
Combine the accumulated images and produce the output.
- combine(I1, I2) - Method in interface org.openimaj.image.combiner.ImageCombiner
-
Perform processing that combines the two images into
a single image.
- combine(FImage, FImage) - Method in class org.openimaj.image.processing.edges.NonMaximumSuppression
-
Perform non-maximum suppression.
- combine(FImage, FImage) - Method in class org.openimaj.image.processing.edges.NonMaximumSuppressionTangent
-
Perform non-maximum suppression.
- combine() - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- combine(Histogram...) - Method in class org.openimaj.math.statistics.distribution.Histogram
-
Create a new histogram by concatenating this one with the given ones.
- combine(PatternProvider) - Method in class org.openimaj.text.nlp.patterns.ColloquialismPatternProvider
-
- combine(PatternProvider) - Method in class org.openimaj.text.nlp.patterns.EmoticonPatternProvider
-
- combine(PatternProvider) - Method in class org.openimaj.text.nlp.patterns.PatternProvider
-
- combine(Context, String, String) - Method in class org.openimaj.util.data.Context
-
Combine this
Context
with another context by modifying any shared
keys of both contexts to be prefixed with the given prefixes and then
copying all the data from the given
Context
into this one.
- combine(Stream<Context>, Stream<Context>) - Static method in class org.openimaj.util.stream.combine.ContextStreamCombiner
-
Utility method to combine two streams.
- combine(Stream<A>, Stream<B>) - Static method in class org.openimaj.util.stream.combine.StreamCombiner
-
- combine(Stream<? extends MetaPayload<AP, AM>>, Stream<? extends MetaPayload<BP, BM>>) - Static method in class org.openimaj.util.stream.window.MetaPayloadStreamCombiner
-
- combine(List<T>) - Method in class org.openimaj.util.stream.window.SequentialStreamAggregator
-
Called when a window of identical items needs to be combined
- CombinedMetaPayloadFunction<AIN,AOUT,BIN,BOUT,AM,BM> - Class in org.openimaj.util.stream.window
-
Given a combined stream (i.e.
- CombinedMetaPayloadFunction(Function<MetaPayload<AIN, AM>, MetaPayload<AOUT, AM>>, Function<MetaPayload<BIN, BM>, MetaPayload<BOUT, BM>>) - Constructor for class org.openimaj.util.stream.window.CombinedMetaPayloadFunction
-
- CombinedPatternProvider - Class in org.openimaj.text.nlp.patterns
-
- CombinedPatternProvider(PatternProvider, PatternProvider) - Constructor for class org.openimaj.text.nlp.patterns.CombinedPatternProvider
-
- CombinedStreamFunction<AIN,AOUT,BIN,BOUT> - Class in org.openimaj.util.stream.combine
-
Given a combined stream (i.e.
- CombinedStreamFunction(Function<AIN, AOUT>, Function<BIN, BOUT>) - Constructor for class org.openimaj.util.stream.combine.CombinedStreamFunction
-
Construct with the given functions to apply to the first and second
elements of the pairs in the input stream respectively.
- combiner() - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
- combiner() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
- CombineSequenceFileInputFormat<K,V> - Class in org.openimaj.hadoop.sequencefile.combine
-
- CombineSequenceFileInputFormat() - Constructor for class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileInputFormat
-
- CombineSequenceFileRecordReader<K,V> - Class in org.openimaj.hadoop.sequencefile.combine
-
Proxy RecordReader that CombineFileRecordReader can instantiate, which itself
translates a CombineFileSplit into a FileSplit.
- CombineSequenceFileRecordReader(CombineFileSplit, TaskAttemptContext, Integer) - Constructor for class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileRecordReader
-
- combineWith(ImageCombiner<I, OTHER, OUT>, OTHER) - Method in class org.openimaj.image.Image
-
- CombiShotDetector - Class in org.openimaj.video.processing.shotdetector
-
A shot detector that uses evidence from a number of shot detectors
to determine if a shot has been detected.
- CombiShotDetector() - Constructor for class org.openimaj.video.processing.shotdetector.CombiShotDetector
-
- CombiShotDetector(Video<MBFImage>) - Constructor for class org.openimaj.video.processing.shotdetector.CombiShotDetector
-
Default constructor that takes the video to be processed
- ComboSimulation - Class in org.openimaj.image.neardups.sim
-
- ComboSimulation(int, Simulation...) - Constructor for class org.openimaj.image.neardups.sim.ComboSimulation
-
- comment - Variable in class org.openimaj.rdf.owl2java.ClassDef
-
The description of the class from the RDF comment
- comment - Variable in class org.openimaj.rdf.owl2java.PropertyDef
-
The comment on this property
- comment - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
The edit comment
- COMMENT_KEY - Static variable in class org.openimaj.hadoop.sequencefile.MetadataConfiguration
-
Standard key for a comment metadata item
- comments - Variable in class org.openimaj.twitter.USMFStatus
-
Number of users who "commented" this
- CommonHTMLConsumers - Class in org.openimaj.web.scraping.images
-
HTML based consumers for common sites
- Community - Interface in orgrdfs.sioc.ns
-
Community is a high-level concept that defines an online community and what
it consists of.
- compact() - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- compact() - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- compact() - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- compact() - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- compact() - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- compact() - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- compact() - Method in class org.openimaj.util.array.SparseByteArray
-
Compact the space being used by the array if possible.
- compact() - Method in class org.openimaj.util.array.SparseDoubleArray
-
Compact the space being used by the array if possible.
- compact() - Method in class org.openimaj.util.array.SparseFloatArray
-
Compact the space being used by the array if possible.
- compact() - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- compact() - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- compact() - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- compact() - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- compact() - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- compact() - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- compact() - Method in class org.openimaj.util.array.SparseIntArray
-
Compact the space being used by the array if possible.
- compact() - Method in class org.openimaj.util.array.SparseLongArray
-
Compact the space being used by the array if possible.
- compact() - Method in class org.openimaj.util.array.SparseShortArray
-
Compact the space being used by the array if possible.
- compactness - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
The compactness of the component.
- ComparableComparator<T extends Comparable<T>> - Class in org.openimaj.util.comparator
-
- ComparableComparator() - Constructor for class org.openimaj.util.comparator.ComparableComparator
-
- comparator() - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
- comparator - Variable in class org.openimaj.math.model.fit.residuals.DistanceComparatorResidual
-
- comparator - Variable in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- compare(ByteFV, ByteFVComparison) - Method in class org.openimaj.feature.ByteFV
-
Compare this FV to another with the given method.
- compare(byte[], byte[]) - Method in interface org.openimaj.feature.ByteFVComparator
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(ByteFV, ByteFV) - Method in enum org.openimaj.feature.ByteFVComparison
-
- compare(byte[], byte[]) - Method in enum org.openimaj.feature.ByteFVComparison
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(DoubleFV, DoubleFVComparison) - Method in class org.openimaj.feature.DoubleFV
-
Compare this FV to another with the given method.
- compare(double[], double[]) - Method in interface org.openimaj.feature.DoubleFVComparator
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(DoubleFV, DoubleFV) - Method in enum org.openimaj.feature.DoubleFVComparison
-
- compare(double[], double[]) - Method in enum org.openimaj.feature.DoubleFVComparison
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(FloatFV, FloatFVComparison) - Method in class org.openimaj.feature.FloatFV
-
Compare this FV to another with the given method.
- compare(float[], float[]) - Method in interface org.openimaj.feature.FloatFVComparator
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(FloatFV, FloatFV) - Method in enum org.openimaj.feature.FloatFVComparison
-
- compare(float[], float[]) - Method in enum org.openimaj.feature.FloatFVComparison
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(IntFV, IntFVComparison) - Method in class org.openimaj.feature.IntFV
-
Compare this FV to another with the given method.
- compare(int[], int[]) - Method in interface org.openimaj.feature.IntFVComparator
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(IntFV, IntFV) - Method in enum org.openimaj.feature.IntFVComparison
-
- compare(int[], int[]) - Method in enum org.openimaj.feature.IntFVComparison
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(LongFV, LongFVComparison) - Method in class org.openimaj.feature.LongFV
-
Compare this FV to another with the given method.
- compare(long[], long[]) - Method in interface org.openimaj.feature.LongFVComparator
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(LongFV, LongFV) - Method in enum org.openimaj.feature.LongFVComparison
-
- compare(long[], long[]) - Method in enum org.openimaj.feature.LongFVComparison
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(MultidimensionalByteFV, ByteFVComparison) - Method in class org.openimaj.feature.MultidimensionalByteFV
-
Compare this FV to another with the given method.
- compare(MultidimensionalDoubleFV, DoubleFVComparison) - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
Compare this FV to another with the given method.
- compare(MultidimensionalFloatFV, FloatFVComparison) - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
Compare this FV to another with the given method.
- compare(MultidimensionalIntFV, IntFVComparison) - Method in class org.openimaj.feature.MultidimensionalIntFV
-
Compare this FV to another with the given method.
- compare(MultidimensionalLongFV, LongFVComparison) - Method in class org.openimaj.feature.MultidimensionalLongFV
-
Compare this FV to another with the given method.
- compare(MultidimensionalShortFV, ShortFVComparison) - Method in class org.openimaj.feature.MultidimensionalShortFV
-
Compare this FV to another with the given method.
- compare(ShortFV, ShortFVComparison) - Method in class org.openimaj.feature.ShortFV
-
Compare this FV to another with the given method.
- compare(short[], short[]) - Method in interface org.openimaj.feature.ShortFVComparator
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(ShortFV, ShortFV) - Method in enum org.openimaj.feature.ShortFVComparison
-
- compare(short[], short[]) - Method in enum org.openimaj.feature.ShortFVComparison
-
Compare two feature vectors in the form of native arrays,
returning a score or distance.
- compare(SparseByteFV, SparseByteFV) - Method in enum org.openimaj.feature.SparseByteFVComparison
-
- compare(SparseByteArray, SparseByteArray) - Method in enum org.openimaj.feature.SparseByteFVComparison
-
Compare two feature vectors in the form of sparse arrays,
returning a score or distance.
- compare(SparseDoubleFV, SparseDoubleFV) - Method in enum org.openimaj.feature.SparseDoubleFVComparison
-
- compare(SparseDoubleArray, SparseDoubleArray) - Method in enum org.openimaj.feature.SparseDoubleFVComparison
-
Compare two feature vectors in the form of sparse arrays,
returning a score or distance.
- compare(SparseFloatFV, SparseFloatFV) - Method in enum org.openimaj.feature.SparseFloatFVComparison
-
- compare(SparseFloatArray, SparseFloatArray) - Method in enum org.openimaj.feature.SparseFloatFVComparison
-
Compare two feature vectors in the form of sparse arrays,
returning a score or distance.
- compare(SparseIntFV, SparseIntFV) - Method in enum org.openimaj.feature.SparseIntFVComparison
-
- compare(SparseIntArray, SparseIntArray) - Method in enum org.openimaj.feature.SparseIntFVComparison
-
Compare two feature vectors in the form of sparse arrays,
returning a score or distance.
- compare(SparseLongFV, SparseLongFV) - Method in enum org.openimaj.feature.SparseLongFVComparison
-
- compare(SparseLongArray, SparseLongArray) - Method in enum org.openimaj.feature.SparseLongFVComparison
-
Compare two feature vectors in the form of sparse arrays,
returning a score or distance.
- compare(SparseShortFV, SparseShortFV) - Method in enum org.openimaj.feature.SparseShortFVComparison
-
- compare(SparseShortArray, SparseShortArray) - Method in enum org.openimaj.feature.SparseShortFVComparison
-
Compare two feature vectors in the form of sparse arrays,
returning a score or distance.
- compare(WritableComparable, WritableComparable) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.LSHGroupingComparator
-
- compare(BytesWritable, BytesWritable) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairKeyComparator
-
- compare(byte[], int, int, byte[], int, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairKeyComparator
-
- compare(BytesWritable, BytesWritable) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairValueGroupingComparator
-
- compare(byte[], int, int, byte[], int, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairValueGroupingComparator
-
- compare(BytesWritable, BytesWritable) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortKeyComparator
-
- compare(byte[], int, int, byte[], int, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortKeyComparator
-
- compare(BytesWritable, BytesWritable) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortValueGroupingComparator
-
- compare(byte[], int, int, byte[], int, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortValueGroupingComparator
-
- compare - Variable in class org.openimaj.image.model.patch.HistogramPatchModel
-
- compare(FValuePixel, FValuePixel) - Method in class org.openimaj.image.pixel.FValuePixel.ReverseValueComparator
-
- compare(FValuePixel, FValuePixel) - Method in class org.openimaj.image.pixel.FValuePixel.ValueComparator
-
- compare(DoGSIFTFeature, DoGSIFTFeature) - Method in class org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator
-
- compare(T, T) - Method in class org.openimaj.image.processing.face.feature.comparison.FaceFVComparator
-
- compare(LtpDtFeature, LtpDtFeature) - Method in class org.openimaj.image.processing.face.feature.comparison.LtpDtFeatureComparator
-
- compare(LtpDtFeature, LtpDtFeature) - Method in class org.openimaj.image.processing.face.feature.comparison.ReversedLtpDtFeatureComparator
-
- compare(MultivariateGaussian, MultivariateGaussian) - Method in class org.openimaj.math.statistics.distribution.metrics.GaussianKLDivergence
-
- compare(MultivariateDistribution, MultivariateDistribution) - Method in class org.openimaj.math.statistics.distribution.metrics.SampledMultivariateDistanceComparator
-
- compare(Integer, Integer) - Method in class org.openimaj.ml.linear.experiments.sinabill.ArrayIndexComparator
-
- compare(T, T) - Method in class org.openimaj.util.comparator.ComparableComparator
-
- compare(T, T) - Method in interface org.openimaj.util.comparator.DistanceComparator
-
Compare two objects, returning a score
or distance.
- compare(T, T) - Method in class org.openimaj.util.comparator.InverseComparableComparator
-
- compareTo(Item) - Method in class net.lag.kestrel.thrift.Item
-
- compareTo(Kestrel.abort_args) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- compareTo(Kestrel.abort_result) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- compareTo(Kestrel.confirm_args) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- compareTo(Kestrel.confirm_result) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- compareTo(Kestrel.delete_queue_args) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- compareTo(Kestrel.delete_queue_result) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- compareTo(Kestrel.flush_all_queues_args) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- compareTo(Kestrel.flush_all_queues_result) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- compareTo(Kestrel.flush_queue_args) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- compareTo(Kestrel.flush_queue_result) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- compareTo(Kestrel.get_args) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- compareTo(Kestrel.get_result) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- compareTo(Kestrel.get_version_args) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- compareTo(Kestrel.get_version_result) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- compareTo(Kestrel.peek_args) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- compareTo(Kestrel.peek_result) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- compareTo(Kestrel.put_args) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- compareTo(Kestrel.put_result) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- compareTo(QueueInfo) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- compareTo(HadoopSiftLSHExtractor.MapperOut) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.MapperOut
-
- compareTo(WordDFIDF) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordDFIDFValue
-
- compareTo(WordDFIDF) - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
- compareTo(HoughCircles.WeightedCircle) - Method in class org.openimaj.image.analysis.algorithm.HoughCircles.WeightedCircle
-
- compareTo(IPDRepeatability.ScoredPair<B, T>) - Method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability.ScoredPair
-
- compareTo(ReadWriteableByte) - Method in class org.openimaj.io.wrappers.ReadWriteableByte
-
- compareTo(ReadWriteableDouble) - Method in class org.openimaj.io.wrappers.ReadWriteableDouble
-
- compareTo(ReadWriteableFloat) - Method in class org.openimaj.io.wrappers.ReadWriteableFloat
-
- compareTo(ReadWriteableInt) - Method in class org.openimaj.io.wrappers.ReadWriteableInt
-
- compareTo(ReadWriteableLong) - Method in class org.openimaj.io.wrappers.ReadWriteableLong
-
- compareTo(ReadWriteableShort) - Method in class org.openimaj.io.wrappers.ReadWriteableShort
-
- compareTo(ScoredAnnotation<ANNOTATION>) - Method in class org.openimaj.ml.annotation.ScoredAnnotation
-
- compareTo(Status) - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- compareTo(Sequencer.SequencerEvent) - Method in class org.openimaj.time.Sequencer.SequencerEvent
- compareTo(VideoTimecode) - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode
- comparisonEvaluation(SetRetrievalEvaluator, SetRetrievalEvaluator, String, String) - Static method in class org.lemurproject.ireval.IREval
-
Compare two sets of retrieval results.
- compass - Variable in class org.openimaj.hardware.compass.CompassData
-
Compass angle in degrees
- Compass0() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators.Compass0
-
Default constructor
- Compass135() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators.Compass135
-
Default constructor
- Compass45() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators.Compass45
-
Default constructor
- Compass90() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators.Compass90
-
Default constructor
- CompassData - Class in org.openimaj.hardware.compass
-
A structure for storing compass data.
- CompassData() - Constructor for class org.openimaj.hardware.compass.CompassData
-
- CompassOperators - Class in org.openimaj.image.processing.convolution
-
Compass operators that are used by the Liu and Samarabandu
text extraction.
- CompassOperators() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators
-
- CompassOperators.Compass0 - Class in org.openimaj.image.processing.convolution
-
The Compass0 operator
- CompassOperators.Compass135 - Class in org.openimaj.image.processing.convolution
-
The Compass135 operator
- CompassOperators.Compass45 - Class in org.openimaj.image.processing.convolution
-
The Compass45 operator
- CompassOperators.Compass90 - Class in org.openimaj.image.processing.convolution
-
The Compass90 operator
- CompassSerialReader - Class in org.openimaj.hardware.compass
-
This class is used to read data from the Ocean Server serial compass.
- CompassSerialReader(String) - Constructor for class org.openimaj.hardware.compass.CompassSerialReader
-
Constructor that takes the serial port name on which the compass is
putting its data.
- complete() - Method in class org.openimaj.content.animation.animator.AbstractValueAnimator
-
- complete() - Method in class org.openimaj.content.animation.animator.LinearByteValueAnimator
-
- complete() - Method in class org.openimaj.content.animation.animator.LinearDoubleValueAnimator
-
- complete() - Method in class org.openimaj.content.animation.animator.LinearFloatValueAnimator
-
- complete() - Method in class org.openimaj.content.animation.animator.LinearIntegerValueAnimator
-
- complete() - Method in class org.openimaj.content.animation.animator.LinearLongValueAnimator
-
- complete() - Method in class org.openimaj.content.animation.animator.LinearShortValueAnimator
-
- completeCentroids(String, String, HadoopFastKMeansOptions) - Static method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans
-
Given the location of a binary dump of centroids on the HDFS, load the
binary dump and construct a proper
ByteKMeans
instance
- Complex - Class in org.openimaj.math.util
-
Data structure for a complex number with real and imaginary parts.
- Complex() - Constructor for class org.openimaj.math.util.Complex
-
Create a complex number with real and imaginary parts set to 0.
- Complex(double, double) - Constructor for class org.openimaj.math.util.Complex
-
Create a complex number with the specified real and
imaginary values.
- complexForward(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D forward DFT of complex data leaving the result in
a
.
- complexForward(double[], int) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D forward DFT of complex data leaving the result in
a
.
- complexForward(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D forward DFT of complex data leaving the result in
a
.
- complexForward(double[][]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D forward DFT of complex data leaving the result in
a
.
- complexForward(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D forward DFT of complex data leaving the result in
a
.
- complexForward(double[][][]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D forward DFT of complex data leaving the result in
a
.
- complexForward(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D forward DFT of complex data leaving the result in
a
.
- complexForward(float[], int) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D forward DFT of complex data leaving the result in
a
.
- complexForward(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D forward DFT of complex data leaving the result in
a
.
- complexForward(float[][]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D forward DFT of complex data leaving the result in
a
.
- complexForward(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D forward DFT of complex data leaving the result in
a
.
- complexForward(float[][][]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D forward DFT of complex data leaving the result in
a
.
- complexInverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D inverse DFT of complex data leaving the result in
a
.
- complexInverse(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D inverse DFT of complex data leaving the result in
a
.
- complexInverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D inverse DFT of complex data leaving the result in
a
.
- complexInverse(double[][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D inverse DFT of complex data leaving the result in
a
.
- complexInverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D inverse DFT of complex data leaving the result in
a
.
- complexInverse(double[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D inverse DFT of complex data leaving the result in
a
.
- complexInverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D inverse DFT of complex data leaving the result in
a
.
- complexInverse(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D inverse DFT of complex data leaving the result in
a
.
- complexInverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D inverse DFT of complex data leaving the result in
a
.
- complexInverse(float[][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D inverse DFT of complex data leaving the result in
a
.
- complexInverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D inverse DFT of complex data leaving the result in
a
.
- complexInverse(float[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D inverse DFT of complex data leaving the result in
a
.
- ComplicatedNumberPatternProvider - Class in org.openimaj.text.nlp.patterns
-
Regex for numbers with a decimal point or command separated.
- ComplicatedNumberPatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.ComplicatedNumberPatternProvider
-
- Component - Class in org.openimaj.image.analysis.watershed
-
Represents a region or set of pixels (the name is based on the Microsoft
paper)
- Component(IntValuePixel, Class<? extends ComponentFeature>...) - Constructor for class org.openimaj.image.analysis.watershed.Component
-
Default constructor.
- ComponentFeature - Interface in org.openimaj.image.analysis.watershed.feature
-
Interface for objects that represent the features of a region (Component)
Note: ALL classes implementing this interface MUST have a default constructor
with NO arguments.
- componentHidden(ComponentEvent) - Method in class org.openimaj.vis.VisualisationImpl
-
- componentMap - Variable in class org.openimaj.image.saliency.YehSaliency
-
- componentMoved(ComponentEvent) - Method in class org.openimaj.vis.VisualisationImpl
-
- componentPromoted(Component) - Method in interface org.openimaj.image.analysis.watershed.event.ComponentStackMergeListener
-
Called when the given component c1 is upwardly promoted to
a higher intensity value.
- componentPromoted(Component) - Method in class org.openimaj.image.analysis.watershed.MergeTreeBuilder
-
Called when the given component c1 is upwardly promoted to
a higher intensity value.
- componentResized(ComponentEvent) - Method in class org.openimaj.vis.VisualisationImpl
-
- components - Variable in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- componentShown(ComponentEvent) - Method in class org.openimaj.vis.VisualisationImpl
-
- componentsMerged(Component, Component) - Method in interface org.openimaj.image.analysis.watershed.event.ComponentStackMergeListener
-
Called when component c2 is merged into component c1.
- componentsMerged(Component, Component) - Method in class org.openimaj.image.analysis.watershed.MergeTreeBuilder
-
Called when component c2 is merged into component c1.
- ComponentStackMergeListener - Interface in org.openimaj.image.analysis.watershed.event
-
- ComponentUtils - Class in org.openimaj.image.feature.local.detector.mser.gui
-
- ComponentUtils() - Constructor for class org.openimaj.image.feature.local.detector.mser.gui.ComponentUtils
-
- compressionType - Variable in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- CompressSimulation - Class in org.openimaj.image.neardups.sim
-
- CompressSimulation(int) - Constructor for class org.openimaj.image.neardups.sim.CompressSimulation
-
- CompressSimulation(int, float, float) - Constructor for class org.openimaj.image.neardups.sim.CompressSimulation
-
- computeBounds(List<LetterCandidate>) - Static method in class org.openimaj.image.text.extraction.swt.LetterCandidate
-
Compute the regular bounding rectangle of the given list of letter
candidates
- computeBrightness(MBFImage, FImage) - Method in enum org.openimaj.image.feature.global.AvgBrightness.Mode
-
Compute the average brightness of the given image (applying the mask
if it's not null
).
- computeCost(FImage, Point2d, PointList) - Method in class org.openimaj.image.model.landmark.FNormalLandmarkModel
-
- computeCost(FImage, Point2d, PointList) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel
-
- computeCost(I, Point2d, PointList) - Method in interface org.openimaj.image.model.landmark.LandmarkModel
-
Evaluate the cost function using the given image and point.
- computeCost(FImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- computeCost(MBFImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- computeCost(I, Line2d) - Method in interface org.openimaj.image.pixel.statistics.PixelProfileModel
-
Compute the cost of a vector of samples extracted
along a line in the given image to the internal model.
- computeCovariance(float[][]) - Static method in class org.openimaj.math.statistics.MeanAndCovariance
-
Get the covariance of the data
- computeCovariance(double[][]) - Static method in class org.openimaj.math.statistics.MeanAndCovariance
-
Get the covariance of the data
- computeCovariance(Matrix) - Static method in class org.openimaj.math.statistics.MeanAndCovariance
-
Get the covariance of the data
- computeDistance(byte[], byte[]) - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
Compute the distance between two vectors using the underlying distance
comparison used by this class.
- computeDistance(double[], double[]) - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
Compute the distance between two vectors using the underlying distance
comparison used by this class.
- computeDistance(float[], float[]) - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
Compute the distance between two vectors using the underlying distance
comparison used by this class.
- computeDistance(int[], int[]) - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
Compute the distance between two vectors using the underlying distance
comparison used by this class.
- computeDistance(long[], long[]) - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
Compute the distance between two vectors using the underlying distance
comparison used by this class.
- computeDistance(short[], short[]) - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
Compute the distance between two vectors using the underlying distance
comparison used by this class.
- computeDistances(byte[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- computeDistances(byte[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.ByteSDCNearestNeighbours
-
- computeDistances(double[], BoundedPriorityQueue<IntDoublePair>, IntDoublePair) - Method in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- computeDistances(double[], BoundedPriorityQueue<IntDoublePair>, IntDoublePair) - Method in class org.openimaj.knn.pq.DoubleSDCNearestNeighbours
-
- computeDistances(float[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- computeDistances(float[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.FloatSDCNearestNeighbours
-
- computeDistances(byte[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- computeDistances(double[], BoundedPriorityQueue<IntDoublePair>, IntDoublePair) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- computeDistances(float[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- computeDistances(int[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- computeDistances(long[], BoundedPriorityQueue<IntDoublePair>, IntDoublePair) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- computeDistances(short[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- computeDistances(int[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- computeDistances(int[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.IntSDCNearestNeighbours
-
- computeDistances(long[], BoundedPriorityQueue<IntDoublePair>, IntDoublePair) - Method in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- computeDistances(long[], BoundedPriorityQueue<IntDoublePair>, IntDoublePair) - Method in class org.openimaj.knn.pq.LongSDCNearestNeighbours
-
- computeDistances(short[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- computeDistances(short[], BoundedPriorityQueue<IntFloatPair>, IntFloatPair) - Method in class org.openimaj.knn.pq.ShortSDCNearestNeighbours
-
- computeDTScore(List<? extends Pair<? extends Point2d>>) - Static method in class org.openimaj.demos.DTConsistency
-
- computeError(Matrix, List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Method in enum org.openimaj.math.geometry.transforms.HomographyRefinement
-
Compute the error value being optimised between the two point sets.
- computeGradients(FImage, float, FImage, FImage) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
_KLTComputeGradients
- computeHashCode(OBJECT) - Method in class org.openimaj.lsh.composition.PolyHashComposition
-
- computeHashCode(OBJECT) - Method in class org.openimaj.lsh.composition.RandomProjectionHashComposition
-
- computeHashCode(ByteFV) - Method in class org.openimaj.lsh.functions.ByteHashFunction
-
Compute the hash code for the feature vector.
- computeHashCode(SparseByteArray) - Method in class org.openimaj.lsh.functions.ByteHashFunction
-
Compute the hash code for the sparse array.
- computeHashCode(SparseByteFV) - Method in class org.openimaj.lsh.functions.ByteHashFunction
-
Compute the hash code for the sparse feature vector.
- computeHashCode(byte[]) - Method in class org.openimaj.lsh.functions.BytePStableFactory.PStableFunction
-
- computeHashCode(SparseByteArray) - Method in class org.openimaj.lsh.functions.BytePStableFactory.PStableFunction
-
- computeHashCode(DoubleFV) - Method in class org.openimaj.lsh.functions.DoubleHashFunction
-
Compute the hash code for the feature vector.
- computeHashCode(SparseDoubleArray) - Method in class org.openimaj.lsh.functions.DoubleHashFunction
-
Compute the hash code for the sparse array.
- computeHashCode(SparseDoubleFV) - Method in class org.openimaj.lsh.functions.DoubleHashFunction
-
Compute the hash code for the sparse feature vector.
- computeHashCode(double[]) - Method in class org.openimaj.lsh.functions.DoublePStableFactory.PStableFunction
-
- computeHashCode(SparseDoubleArray) - Method in class org.openimaj.lsh.functions.DoublePStableFactory.PStableFunction
-
- computeHashCode(FloatFV) - Method in class org.openimaj.lsh.functions.FloatHashFunction
-
Compute the hash code for the feature vector.
- computeHashCode(SparseFloatArray) - Method in class org.openimaj.lsh.functions.FloatHashFunction
-
Compute the hash code for the sparse array.
- computeHashCode(SparseFloatFV) - Method in class org.openimaj.lsh.functions.FloatHashFunction
-
Compute the hash code for the sparse feature vector.
- computeHashCode(float[]) - Method in class org.openimaj.lsh.functions.FloatPStableFactory.PStableFunction
-
- computeHashCode(SparseFloatArray) - Method in class org.openimaj.lsh.functions.FloatPStableFactory.PStableFunction
-
- computeHashCode(IntFV) - Method in class org.openimaj.lsh.functions.IntHashFunction
-
Compute the hash code for the feature vector.
- computeHashCode(SparseIntArray) - Method in class org.openimaj.lsh.functions.IntHashFunction
-
Compute the hash code for the sparse array.
- computeHashCode(SparseIntFV) - Method in class org.openimaj.lsh.functions.IntHashFunction
-
Compute the hash code for the sparse feature vector.
- computeHashCode(int[]) - Method in class org.openimaj.lsh.functions.IntPStableFactory.PStableFunction
-
- computeHashCode(SparseIntArray) - Method in class org.openimaj.lsh.functions.IntPStableFactory.PStableFunction
-
- computeHashCode(LongFV) - Method in class org.openimaj.lsh.functions.LongHashFunction
-
Compute the hash code for the feature vector.
- computeHashCode(SparseLongArray) - Method in class org.openimaj.lsh.functions.LongHashFunction
-
Compute the hash code for the sparse array.
- computeHashCode(SparseLongFV) - Method in class org.openimaj.lsh.functions.LongHashFunction
-
Compute the hash code for the sparse feature vector.
- computeHashCode(long[]) - Method in class org.openimaj.lsh.functions.LongPStableFactory.PStableFunction
-
- computeHashCode(SparseLongArray) - Method in class org.openimaj.lsh.functions.LongPStableFactory.PStableFunction
-
- computeHashCode(ShortFV) - Method in class org.openimaj.lsh.functions.ShortHashFunction
-
Compute the hash code for the feature vector.
- computeHashCode(SparseShortArray) - Method in class org.openimaj.lsh.functions.ShortHashFunction
-
Compute the hash code for the sparse array.
- computeHashCode(SparseShortFV) - Method in class org.openimaj.lsh.functions.ShortHashFunction
-
Compute the hash code for the sparse feature vector.
- computeHashCode(short[]) - Method in class org.openimaj.lsh.functions.ShortPStableFactory.PStableFunction
-
- computeHashCode(SparseShortArray) - Method in class org.openimaj.lsh.functions.ShortPStableFactory.PStableFunction
-
- computeHashCode(OBJECT) - Method in class org.openimaj.util.hash.composition.SimpleComposition
-
- computeHashCode(OBJECT) - Method in interface org.openimaj.util.hash.HashFunction
-
Compute the hash code for the object
- computeHashCode(O) - Method in class org.openimaj.util.hash.modifier.ModuloModifier
-
- computeHashCode(String) - Method in class org.openimaj.util.hash.StringMurmurHashFunction
-
- computeHistogram(Rectangle) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- computeHistogram(int, int, int, int) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- computeHistogram(Rectangle, FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Compute the histogram for the given window.
- computeHistogram(int, int, int, int, FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Compute the histogram for the given window.
- computeHistogram(int, int, FImage, FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Compute the histogram for the given window.
- computeHistogram(Rectangle, Histogram) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- computeHistogram(int, int, int, int, Histogram) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- computeHistogram(int, int, int, int) - Method in class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
- computeHistogram(int, int, int, int, FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
- computeHistogram(int, int, FImage, FImage) - Method in class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
- computeHistogram(Rectangle) - Method in class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
- computeHistogram(int, int, int, int) - Method in class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
- computeHistogram(int, int, int, int, Histogram) - Method in class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
- computeHistogram(Rectangle, Histogram) - Method in class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
- computeHistogram(Rectangle) - Method in interface org.openimaj.image.analysis.algorithm.histogram.WindowedHistogramExtractor
-
Compute the histogram for the given window.
- computeHistogram(int, int, int, int) - Method in interface org.openimaj.image.analysis.algorithm.histogram.WindowedHistogramExtractor
-
Compute the histogram for the given window.
- computeHistogram(Rectangle, Histogram) - Method in interface org.openimaj.image.analysis.algorithm.histogram.WindowedHistogramExtractor
-
- computeHistogram(int, int, int, int, Histogram) - Method in interface org.openimaj.image.analysis.algorithm.histogram.WindowedHistogramExtractor
-
- computeHomography() - Method in class org.openimaj.image.camera.Camera
-
Compute the homography of this camera to the z=0 plane based on it's
parameters: H = KA, where A = [r1 r2 t] and r1 and r2 are the first and
second columns of the rotation matrix, and K is the calibration matrix.
- computeHyperplanePoint(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.SimplePerceptron
-
Compute NaN-coordinate of a point on the hyperplane given
non-NaN-coordinates.
- computeInitialFeasibleSolution() - Method in class org.openimaj.math.combinatorics.optimisation.HungarianAlgorithm
-
Compute an initial feasible solution by assigning zero labels to the
workers and by assigning to each job a label equal to the minimum cost
among its incident edges.
- computeIntensity(float[]) - Method in enum org.openimaj.image.colour.ColourSpace
-
Compute the intensity of the given pixel in this colourspace.
- computeIntrinsicScale() - Method in class org.openimaj.math.geometry.point.PointList
-
Calculate the intrinsic scale of the shape.
- computeLevels(int) - Method in class org.openimaj.image.analysis.pyramid.SimplePyramid
-
compute the number of levels such that the minimum size is at least 8.
- computeLikelihood(Document, LDAVariationlState) - Method in class org.openimaj.pgm.vb.lda.mle.LDALearner
-
Calculates a lower bound for the log liklihood of a document given
current parameters.
- ComputeLSHDistribution - Class in org.openimaj.hadoop.tools.image.indexing
-
- ComputeLSHDistribution() - Constructor for class org.openimaj.hadoop.tools.image.indexing.ComputeLSHDistribution
-
- computeMahalanobis(float[]) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
Compute the Mahalanobis distance of the given vector to the internal
model.
- computeMahalanobis(FImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
Compute the Mahalanobis distance of a vector of samples extracted along a
line in the given image to the internal model.
- computeMahalanobis(float[]) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
Compute the Mahalanobis distance of the given vector to the internal
model.
- computeMahalanobis(MBFImage, Line2d) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
Compute the Mahalanobis distance of a vector of samples extracted along a
line in the given image to the internal model.
- computeMahalanobisWindowed(FImage, Line2d, int) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
Extract numSamples samples from the line in the image and then compare
this model at each overlapping position starting from the first sample at
the beginning of the line.
- computeMahalanobisWindowed(float[]) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
Compare this model at each overlapping position of the given vector
starting from the first sample and return the distance for each overlap.
- computeMahalanobisWindowed(MBFImage, Line2d, int) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
Extract numSamples samples from the line in the image and then compare
this model at each overlapping position starting from the first sample at
the beginning of the line.
- computeMahalanobisWindowed(float[][]) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
Compare this model at each overlapping position of the given vector
starting from the first sample and return the distance for each overlap.
- computeMatchScore(FImage, FImage, int, int, Object) - Method in enum org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode
-
Compute the matching score between the image and template, with the top-left of the
template at (x, y) in the image.
- computeMatchScore(float[][], int, int, float[][], int, int, int, int) - Method in enum org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode
-
Compute the matching score between the image and template, with the top-left of the
template at (x, y) in the image.
- computeMean(Collection<PointList>) - Static method in class org.openimaj.math.geometry.point.PointList
-
- computeMean(float[][]) - Static method in class org.openimaj.math.statistics.MeanAndCovariance
-
Get the mean of the data
- computeMean(double[][]) - Static method in class org.openimaj.math.statistics.MeanAndCovariance
-
Get the mean of the data
- computeMean(Matrix) - Static method in class org.openimaj.math.statistics.MeanAndCovariance
-
Get the mean of the data
- computeMeanShift(double[]) - Method in class org.openimaj.ml.clustering.meanshift.ExactMeanShift
-
- computeMovementDistance(FImage, Line2d, int, Point2d) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- computeMovementDistance(MBFImage, Line2d, int, Point2d) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- computeMovementDistance(I, Line2d, int, Point2d) - Method in interface org.openimaj.image.pixel.statistics.PixelProfileModel
-
Compute the distance between the centre of the given
line and the given point, normalised as a function of
the length of the sampling line.
- computeNewBest(FImage, Line2d, int) - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- computeNewBest(MBFImage, Line2d, int) - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- computeNewBest(I, Line2d, int) - Method in interface org.openimaj.image.pixel.statistics.PixelProfileModel
-
Extract numSamples samples from the line in the image and
then compare this model at each overlapping position starting
from the first sample at the beginning of the line.
- computeNumberOfSamplingBlocks() - Method in class org.openimaj.image.feature.global.Gist
-
Compute the number of sampling blocks that are used for every filter.
- computeProcrustesDistance(PointList, PointList) - Static method in class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
Compute the Procrustes Distance between two
PointList
s.
- computeQuantisedFeatures(HardAssigner<T, ?, ?>, List<? extends LocalFeature<L, ? extends ArrayFeatureVector<T>>>) - Static method in class org.openimaj.image.feature.local.aggregate.BagOfVisualWords
-
Utility method to construct a list of quantised local features (local
features with visual word assignments) from a list of features and a
HardAssigner
.
- computeResidual(IndependentPair<Point2d, Point2d>) - Method in class org.openimaj.math.geometry.transforms.FundamentalModel.EpipolarResidual
-
- computeResidual(IndependentPair<Point2d, Point2d>) - Method in class org.openimaj.math.geometry.transforms.FundamentalModel.Fundamental8PtResidual
-
- computeResidual(IndependentPair<Point2d, Point2d>) - Method in class org.openimaj.math.geometry.transforms.FundamentalModel.SampsonGeometricResidual
-
- computeResidual(IndependentPair<Point2d, Point2d>) - Method in class org.openimaj.math.geometry.transforms.residuals.AlgebraicResidual2d
-
- computeResidual(IndependentPair<Point2d, Point2d>) - Method in class org.openimaj.math.geometry.transforms.residuals.SingleImageTransferResidual2d
-
- computeResidual(IndependentPair<Point2d, Point2d>) - Method in class org.openimaj.math.geometry.transforms.residuals.SymmetricTransferResidual2d
-
- computeResidual(IndependentPair<Point2d, Point2d>) - Method in class org.openimaj.math.geometry.transforms.residuals.TransformedSITR2d
-
- computeResidual(IndependentPair<I, D>) - Method in class org.openimaj.math.model.fit.residuals.DistanceComparatorResidual
-
- computeResidual(IndependentPair<I, D>) - Method in interface org.openimaj.math.model.fit.residuals.ResidualCalculator
-
Compute the residual for a single point
- computeResiduals(List<? extends IndependentPair<Point2d, Point2d>>, double[]) - Method in class org.openimaj.math.geometry.transforms.residuals.AlgebraicResidual2d
-
- computeResiduals(List<? extends IndependentPair<Point2d, Point2d>>, double[]) - Method in class org.openimaj.math.geometry.transforms.residuals.SingleImageTransferResidual2d
-
- computeResiduals(List<? extends IndependentPair<Point2d, Point2d>>, double[]) - Method in class org.openimaj.math.geometry.transforms.residuals.SymmetricTransferResidual2d
-
- computeResiduals(List<? extends IndependentPair<Point2d, Point2d>>, double[]) - Method in class org.openimaj.math.geometry.transforms.residuals.TransformedSITR2d
-
- computeResiduals(List<? extends IndependentPair<I, D>>, double[]) - Method in class org.openimaj.math.model.fit.residuals.AbstractResidualCalculator
-
- computeResiduals(List<? extends IndependentPair<I, D>>, double[]) - Method in interface org.openimaj.math.model.fit.residuals.ResidualCalculator
-
Compute the residual for a set of data points
- computeResponse(SummedSqTiltAreaTable, int, int) - Method in class org.openimaj.image.objectdetection.haar.HaarFeature
-
Compute the response of this feature at the given location.
- computeRotSqSumIntegralImages(FImage) - Method in class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
- computeSATs(FImage[]) - Method in class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
- computeScale(PointList, double, double) - Static method in class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
- computeScalingFactor() - Method in class org.openimaj.hardware.kinect.KinectController
-
Compute the scaling factor for computing world coordinates.
- computeScore(float[]) - Method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner.ScoringScheme
-
- computeScore(double[]) - Method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner.ScoringScheme
-
- computeScore(float[]) - Method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner.ScoringScheme
-
- computeScore(float[]) - Method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner.ScoringScheme
-
- computeScore(double[]) - Method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner.ScoringScheme
-
- computeScore(float[]) - Method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner.ScoringScheme
-
- computeSqSumIntegralImages(FImage) - Method in class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
- computeStatistics() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
Compute the current aggregate statistics of the
accumulated results.
- computeSuppressed(FImage, FImage) - Static method in class org.openimaj.image.processing.edges.NonMaximumSuppression
-
Perform non-maximum suppression.
- computeSuppressed(FImage, FImage) - Static method in class org.openimaj.image.processing.edges.NonMaximumSuppressionTangent
-
Perform non-maximum suppression.
- computeSuppressed(FImage, FImage, FImage) - Static method in class org.openimaj.image.processing.edges.NonMaximumSuppressionTangent
-
Perform non-maximum suppression.
- computeTable(FImage) - Method in class org.openimaj.image.analysis.algorithm.SummedAreaTable
-
- computeTable(FImage) - Method in class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
- computeThresholdAndVarianceFromHistogram(int[], int) - Static method in class org.openimaj.image.processing.threshold.OtsuThreshold
-
Estimate the threshold and inter-class variance for the given histogram.
- computeThresholdFromHistogram(int[], int) - Static method in class org.openimaj.image.processing.threshold.OtsuThreshold
-
Estimate the threshold for the given histogram.
- computeTriangulationInfo(List<? extends Pair<? extends Point2d>>) - Static method in class org.openimaj.demos.DTConsistency
-
- computeVoronoiEdges(List<? extends Point2d>) - Static method in class org.openimaj.math.geometry.triangulation.Voronoi
-
Compute the Voronoi diagram as a list of its edges
- computeVoronoiEdges(List<? extends Point2d>, double, double) - Static method in class org.openimaj.math.geometry.triangulation.Voronoi
-
Compute the Voronoi diagram as a list of its edges
- computeVoronoiGraph(List<? extends Point2d>) - Static method in class org.openimaj.math.geometry.triangulation.Voronoi
-
Compute the Voronoi diagram as a graph of its vertices
- computeVoronoiGraph(List<? extends Point2d>, double, double) - Static method in class org.openimaj.math.geometry.triangulation.Voronoi
-
Compute the Voronoi diagram as a graph of its vertices
- computeWeightedLogProb(double[][]) - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
- comxmlns.foaf._0 - package comxmlns.foaf._0
-
- Concatenatable<IN,OUT> - Interface in org.openimaj.util.concatenate
-
Interface for objects that can be concatenated together to form a new object.
- concatenate(ByteFV...) - Method in class org.openimaj.feature.ByteFV
-
- concatenate(List<ByteFV>) - Method in class org.openimaj.feature.ByteFV
-
- concatenate(DoubleFV...) - Method in class org.openimaj.feature.DoubleFV
-
- concatenate(List<DoubleFV>) - Method in class org.openimaj.feature.DoubleFV
-
- concatenate(FloatFV...) - Method in class org.openimaj.feature.FloatFV
-
- concatenate(List<FloatFV>) - Method in class org.openimaj.feature.FloatFV
-
- concatenate(IntFV...) - Method in class org.openimaj.feature.IntFV
-
- concatenate(List<IntFV>) - Method in class org.openimaj.feature.IntFV
-
- concatenate(LongFV...) - Method in class org.openimaj.feature.LongFV
-
- concatenate(List<LongFV>) - Method in class org.openimaj.feature.LongFV
-
- concatenate(ShortFV...) - Method in class org.openimaj.feature.ShortFV
-
- concatenate(List<ShortFV>) - Method in class org.openimaj.feature.ShortFV
-
- concatenate(SparseByteFV...) - Method in class org.openimaj.feature.SparseByteFV
-
- concatenate(List<SparseByteFV>) - Method in class org.openimaj.feature.SparseByteFV
-
- concatenate(SparseDoubleFV...) - Method in class org.openimaj.feature.SparseDoubleFV
-
- concatenate(List<SparseDoubleFV>) - Method in class org.openimaj.feature.SparseDoubleFV
-
- concatenate(SparseFloatFV...) - Method in class org.openimaj.feature.SparseFloatFV
-
- concatenate(List<SparseFloatFV>) - Method in class org.openimaj.feature.SparseFloatFV
-
- concatenate(SparseIntFV...) - Method in class org.openimaj.feature.SparseIntFV
-
- concatenate(List<SparseIntFV>) - Method in class org.openimaj.feature.SparseIntFV
-
- concatenate(SparseLongFV...) - Method in class org.openimaj.feature.SparseLongFV
-
- concatenate(List<SparseLongFV>) - Method in class org.openimaj.feature.SparseLongFV
-
- concatenate(SparseShortFV...) - Method in class org.openimaj.feature.SparseShortFV
-
- concatenate(List<SparseShortFV>) - Method in class org.openimaj.feature.SparseShortFV
-
- concatenate(T[]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(double[]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(float[]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(int[]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(long[]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(byte[]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(short[]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(double[][]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(float[][]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(int[][]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(long[][]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(byte[][]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(short[][]...) - Static method in class org.openimaj.util.array.ArrayUtils
-
Concatenate multiple arrays into a single new array.
- concatenate(SparseByteArray...) - Method in class org.openimaj.util.array.SparseByteArray
-
- concatenate(List<SparseByteArray>) - Method in class org.openimaj.util.array.SparseByteArray
-
- concatenate(SparseDoubleArray...) - Method in class org.openimaj.util.array.SparseDoubleArray
-
- concatenate(List<SparseDoubleArray>) - Method in class org.openimaj.util.array.SparseDoubleArray
-
- concatenate(SparseFloatArray...) - Method in class org.openimaj.util.array.SparseFloatArray
-
- concatenate(List<SparseFloatArray>) - Method in class org.openimaj.util.array.SparseFloatArray
-
- concatenate(SparseIntArray...) - Method in class org.openimaj.util.array.SparseIntArray
-
- concatenate(List<SparseIntArray>) - Method in class org.openimaj.util.array.SparseIntArray
-
- concatenate(SparseLongArray...) - Method in class org.openimaj.util.array.SparseLongArray
-
- concatenate(List<SparseLongArray>) - Method in class org.openimaj.util.array.SparseLongArray
-
- concatenate(SparseShortArray...) - Method in class org.openimaj.util.array.SparseShortArray
-
- concatenate(List<SparseShortArray>) - Method in class org.openimaj.util.array.SparseShortArray
-
- concatenate(IN...) - Method in interface org.openimaj.util.concatenate.Concatenatable
-
Concatenate all the inputs with this, returning a new object that is the
result of the concatenation.
- concatenate(List<IN>) - Method in interface org.openimaj.util.concatenate.Concatenatable
-
Concatenate all the inputs with this, returning a new object that is the
result of the concatenation.
- concatenateArrays(SparseByteArray...) - Static method in class org.openimaj.util.array.SparseByteArray
-
Concatenate multiple arrays into a single new array.
- concatenateArrays(SparseDoubleArray...) - Static method in class org.openimaj.util.array.SparseDoubleArray
-
Concatenate multiple arrays into a single new array.
- concatenateArrays(SparseFloatArray...) - Static method in class org.openimaj.util.array.SparseFloatArray
-
Concatenate multiple arrays into a single new array.
- concatenateArrays(SparseIntArray...) - Static method in class org.openimaj.util.array.SparseIntArray
-
Concatenate multiple arrays into a single new array.
- concatenateArrays(SparseLongArray...) - Static method in class org.openimaj.util.array.SparseLongArray
-
Concatenate multiple arrays into a single new array.
- concatenateArrays(SparseShortArray...) - Static method in class org.openimaj.util.array.SparseShortArray
-
Concatenate multiple arrays into a single new array.
- ConcatenatedIterable<T> - Class in org.openimaj.util.iterator
-
- ConcatenatedIterable(Iterable<T>...) - Constructor for class org.openimaj.util.iterator.ConcatenatedIterable
-
- ConcatenatedIterable(Collection<? extends Iterable<T>>) - Constructor for class org.openimaj.util.iterator.ConcatenatedIterable
-
- ConcatenatedIterable(Iterator<T>...) - Constructor for class org.openimaj.util.iterator.ConcatenatedIterable
-
- ConcatenatedList<T> - Class in org.openimaj.util.list
-
A read-only
List
view built on top of a list of underlying lists.
- ConcatenatedList(List<List<T>>) - Constructor for class org.openimaj.util.list.ConcatenatedList
-
Construct with the given list of lists.
- ConcatenatedList(List<T>, List<T>) - Constructor for class org.openimaj.util.list.ConcatenatedList
-
Construct with the given lists.
- ConcatenatedList(List<T>, List<T>, List<T>) - Constructor for class org.openimaj.util.list.ConcatenatedList
-
Construct with the given lists.
- ConcatenatedList(List<T>, List<T>, List<T>, List<T>) - Constructor for class org.openimaj.util.list.ConcatenatedList
-
Construct with the given lists.
- ConcreteOctaveLocalFeatureCollector<OCTAVE extends Octave<?,?,IMAGE>,FE extends FeatureVectorExtractor<?,ScaleSpaceImageExtractorProperties<IMAGE>>,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.feature.local.detector.dog.collector
-
- ConcreteOctaveLocalFeatureCollector(FE) - Constructor for class org.openimaj.image.feature.local.detector.dog.collector.ConcreteOctaveLocalFeatureCollector
-
Construct with the given feature extractor.
- ConcreteTimeSeries<DATA,TS extends ConcreteTimeSeries<DATA,TS>> - Class in org.openimaj.ml.timeseries.series
-
A generic though inefficient time series which can be used by any data type.
- ConcreteTimeSeries() - Constructor for class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
Initialise the backing treemap
- concurrency - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- ConcurrencyUtils - Class in edu.emory.mathcs.utils
-
Concurrency utilities.
- conf - Variable in class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- conf - Variable in class org.openimaj.storm.spout.SimpleSpout
-
- confidence - Variable in class org.openimaj.image.processing.face.detection.DetectedFace
-
The confidence of the detection; higher numbers mean higher confidence.
- confidence - Variable in class org.openimaj.ml.annotation.ScoredAnnotation
-
The confidence of the annotation
- confidence - Variable in class org.openimaj.text.nlp.language.LanguageDetector.WeightedLocale
-
Naive bayesian probability
- config - Variable in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- config - Variable in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- config - Variable in class org.openimaj.stream.provider.twitter.AbstractTwitterSearchDataset
-
- config - Variable in class org.openimaj.vis.general.AxisRenderer
-
The axis configuration
- ConfigurableRendererMono - Class in org.openimaj.image.processor.connectedcomponent.render
-
This renderer encapsulates various other renderers in an easy to
configure class, allowing multiple renderers to be called in one go.
- ConfigurableRendererMono(EnumSet<ConfigurableRenderOptions>) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererMono
-
Protected constructor that takes a set of options to draw.
- ConfigurableRendererMono(FImage, EnumSet<ConfigurableRenderOptions>) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererMono
-
Constructor that takes an image to draw into and a set of options to draw.
- ConfigurableRendererMono(int, int, EnumSet<ConfigurableRenderOptions>) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererMono
-
Constructor that creates an image to draw into and takes a set of options
to draw.
- ConfigurableRendererRGB - Class in org.openimaj.image.processor.connectedcomponent.render
-
This renderer encapsulates various other renderers in an easy to
configure class, allowing multiple renderers to be called in one go.
- ConfigurableRendererRGB(EnumSet<ConfigurableRenderOptions>) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererRGB
-
Protected constructor that takes a set of options to draw.
- ConfigurableRendererRGB(MBFImage, EnumSet<ConfigurableRenderOptions>) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererRGB
-
Constructor that takes an image to draw into and a set of options to draw.
- ConfigurableRendererRGB(int, int, EnumSet<ConfigurableRenderOptions>) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererRGB
-
Constructor that creates an image to draw into and takes a set of options
to draw.
- ConfigurableRenderOptions - Enum in org.openimaj.image.processor.connectedcomponent.render
-
- Configuration() - Constructor for class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
Construct with the default model parameters
- confirm(String, Set<Long>) - Method in class backtype.storm.spout.KestrelThriftClient
-
- confirm(String, Set<Long>, AsyncMethodCallback<Kestrel.AsyncClient.confirm_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- confirm(String, Set<Long>, AsyncMethodCallback<Kestrel.AsyncClient.confirm_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- confirm(String, Set<Long>) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- confirm(String, Set<Long>) - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- confirm_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- confirm_args(String, Set<Long>) - Constructor for class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- confirm_args(Kestrel.confirm_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.confirm_args
-
Performs a deep copy on other.
- confirm_call(String, Set<Long>, AsyncMethodCallback<Kestrel.AsyncClient.confirm_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.confirm_call
-
- confirm_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- confirm_result(int) - Constructor for class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- confirm_result(Kestrel.confirm_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.confirm_result
-
Performs a deep copy on other.
- ConnectedComponent - Class in org.openimaj.image.pixel
-
This class represents a connected region within an image and provides methods
for accessing and manipulating that region.
- ConnectedComponent() - Constructor for class org.openimaj.image.pixel.ConnectedComponent
-
Default constructor.
- ConnectedComponent(Shape) - Constructor for class org.openimaj.image.pixel.ConnectedComponent
-
Construct a new connected component from the given shape.
- ConnectedComponent(Polygon) - Constructor for class org.openimaj.image.pixel.ConnectedComponent
-
Construct a new connected component from the given polygon.
- ConnectedComponent(int, int, int, int) - Constructor for class org.openimaj.image.pixel.ConnectedComponent
-
- ConnectedComponent(int[][]) - Constructor for class org.openimaj.image.pixel.ConnectedComponent
-
Constructs a connected component from a mask image.
- ConnectedComponent(FImage, float) - Constructor for class org.openimaj.image.pixel.ConnectedComponent
-
Constructs a connected component from a mask image.
- ConnectedComponent(Set<Pixel>) - Constructor for class org.openimaj.image.pixel.ConnectedComponent
-
Construct a connected component from the given set of
Pixel
s.
- ConnectedComponent.ConnectMode - Enum in org.openimaj.image.pixel
-
For boundary representations of
ConnectedComponent
s, this enum
determines and specifies how the boundary is calculated; either using a
4-connected rule, or an 8-connected rule.
- ConnectedComponentLabeler - Class in org.openimaj.image.connectedcomponent
-
A connected component labeler.
- ConnectedComponentLabeler(ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- ConnectedComponentLabeler(ConnectedComponentLabeler.Algorithm, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- ConnectedComponentLabeler(ConnectedComponentLabeler.Algorithm, float, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- ConnectedComponentLabeler.Algorithm - Enum in org.openimaj.image.connectedcomponent
-
- ConnectedComponentProcessor - Interface in org.openimaj.image.processor.connectedcomponent
-
- ConnectedComponents - Class in org.openimaj.tools.similaritymatrix.modes
-
- ConnectedComponents() - Constructor for class org.openimaj.tools.similaritymatrix.modes.ConnectedComponents
-
- connectedDevices() - Static method in class org.openimaj.hardware.kinect.KinectController
-
Get the number of connected devices.
- ConnectedThresholdSegmenter - Class in org.openimaj.image.segmentation
-
Simple wrapper to make thresholding algorithms into
Segmenter
s by
applying the thresholding operation and then applying connected component
labeling.
- ConnectedThresholdSegmenter(Processor<FImage>, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.segmentation.ConnectedThresholdSegmenter
-
Construct with the given thresholding algorithm implementation and
connection mode.
- ConnectedThresholdSegmenter(Processor<FImage>, ConnectedComponentLabeler.Algorithm, ConnectedComponent.ConnectMode) - Constructor for class org.openimaj.image.segmentation.ConnectedThresholdSegmenter
-
Construct with the given thresholding algorithm implementation.
- connections - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
The face connections
- connections - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
The face connections
- connectNewBolt(TopologyBuilder) - Static method in class org.openimaj.storm.StormPlayground.JoinBolt
-
- ConsistentLocalFeatureMatcher2d<T extends LocalFeature<?,?> & Point2d> - Class in org.openimaj.feature.local.matcher.consistent
-
Object to attempt to find a consistent geometric mapping of two sets of local
features according to a given model.
- ConsistentLocalFeatureMatcher2d(LocalFeatureMatcher<T>) - Constructor for class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
Default constructor
- ConsistentLocalFeatureMatcher2d(LocalFeatureMatcher<T>, RobustModelFitting<Point2d, Point2d, ?>) - Constructor for class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
Default constructor
- consistentMatches - Variable in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- ConsoleMetaMapper - Class in org.openimaj.tools.imagecollection.metamapper
-
- ConsoleMetaMapper() - Constructor for class org.openimaj.tools.imagecollection.metamapper.ConsoleMetaMapper
-
- const_shift() - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- const_shift(double) - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- ConstrainedFloatAssigner<DATATYPE> - Class in org.openimaj.ml.clustering.assignment.hard
-
An assigner that wraps another hard assigner and only produces valid
assignments if the closest cluster is within (or outside) of a given
threshold distance.
- ConstrainedFloatAssigner(HardAssigner<DATATYPE, float[], IntFloatPair>, float) - Constructor for class org.openimaj.ml.clustering.assignment.hard.ConstrainedFloatAssigner
-
Construct the ConstrainedFloatAssigner with the given assigner and
threshold.
- ConstrainedFloatAssigner(HardAssigner<DATATYPE, float[], IntFloatPair>, float, boolean) - Constructor for class org.openimaj.ml.clustering.assignment.hard.ConstrainedFloatAssigner
-
Construct the ConstrainedFloatAssigner with the given assigner and
threshold.
- constraint - Variable in class org.openimaj.math.geometry.shape.PointDistributionModel
-
- construct(String, String, String, String, String) - Method in class org.openimaj.stream.provider.irc.AbstractIRCStreamDataset
-
Called by PircBot.onMessage(java.lang.String, java.lang.String, java.lang.String, java.lang.String, java.lang.String)
- construct(String, String, String, String, String) - Method in class org.openimaj.stream.provider.irc.BasicIRCStreamDataset
-
- construct(String, String, String, String, String) - Method in class org.openimaj.stream.provider.WikipediaEditsDataset
-
- constructCollector(InterestPointGradientFeatureExtractor) - Method in class org.openimaj.image.feature.local.engine.ipd.AbstractIPDSIFTEngine
-
- constructCollector(InterestPointGradientFeatureExtractor) - Method in class org.openimaj.image.feature.local.engine.ipd.EllipticIPDSIFTEngine
-
- constructCollector(InterestPointGradientFeatureExtractor) - Method in class org.openimaj.image.feature.local.engine.ipd.IPDSIFTEngine
-
- constructEngine(DoGSIFTEngineOptions<I>) - Method in class org.openimaj.image.feature.local.affine.ASIFT
-
An engine which can process images of type and output keypoints
- constructEngine(DoGSIFTEngineOptions<FImage>) - Method in class org.openimaj.image.feature.local.affine.BasicASIFT
-
- constructEngine(DoGSIFTEngineOptions<MBFImage>) - Method in class org.openimaj.image.feature.local.affine.ColourASIFT
-
- constructIndexPath(Path) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
- constructPQ(String, Model) - Static method in class org.openimaj.rdf.utils.PQUtils
-
Construct a ParameterizedSparqlString
- constructSlices(List<List<Pixel>>, int, int) - Method in class org.openimaj.image.processing.face.feature.ltp.AbstractLtpDtFeature
-
- constructTopology() - Method in class org.openimaj.storm.tool.StormToolOptions
-
- consume(Status) - Method in class org.openimaj.picslurper.StatusConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.HTMLScrapingSiteSpecificConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.images.FacebookConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.images.ImgurConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.images.InstagramConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.images.OwlyImageConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.images.TmblrPhotoConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.images.TwitPicConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.images.TwitterPhotoConsumer
-
- consume(URL) - Method in class org.openimaj.web.scraping.images.YfrogConsumer
-
- consume(URL) - Method in interface org.openimaj.web.scraping.SiteSpecificConsumer
-
Get the data urls at the given URL.
- consumed - Variable in class org.openimaj.util.list.AbstractStreamBackedList
-
Number of bytes read
- consumed() - Method in class org.openimaj.util.list.AbstractStreamBackedList
-
Get the number of records consumed so far
- consumeFrequency(float[], float[], int, int) - Method in interface org.openimaj.audio.FrequencyAudioSource.Listener
-
Called when new frequency data is available.
- consumerKey - Variable in class org.openimaj.util.api.auth.common.TwitterAPIToken
-
The consumer key
- consumerSecret - Variable in class org.openimaj.util.api.auth.common.TwitterAPIToken
-
The consumer secret
- container - Variable in class org.openimaj.content.slideshow.Slideshow
-
- Container - Interface in orgrdfs.sioc.ns
-
An area in which content Items are contained.
- container_of - Variable in class orgrdfs.sioc.ns.ContainerImpl
-
An Item that this Container contains.
- ContainerImpl - Class in orgrdfs.sioc.ns
-
An area in which content Items are contained.
- ContainerImpl() - Constructor for class orgrdfs.sioc.ns.ContainerImpl
-
- contains(Object) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- contains(Object) - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Returns true if this queue contains the specified element.
- contains(Object) - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Returns true if this queue contains the specified element.
- contains(Object) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- contains(Object) - Method in class org.openimaj.util.set.DisjointSetForest
-
- contains(KEY) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- containsAll(Collection<?>) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- containsAll(Collection<?>) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- containsAll(Collection<?>) - Method in class org.openimaj.util.set.DisjointSetForest
-
- containsCategoryDepiction - Variable in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Response
-
Whether the image contains a depicition of the category subject
- containsInfinity(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- containsNaN(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- containsNaN(Vector) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- containsNaN() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- containsValid(String) - Method in class org.openimaj.tools.imagecollection.collection.config.ImageCollectionConfig
-
- containsValid(String) - Method in class org.openimaj.tools.imagecollection.collection.ImageCollectionConfig
-
- ContectedComponentSimilarityClusterer - Class in org.openimaj.ml.clustering.dbscan
-
Cluster based on connected components.
- ContectedComponentSimilarityClusterer(double, int) - Constructor for class org.openimaj.ml.clustering.dbscan.ContectedComponentSimilarityClusterer
-
- content - Variable in class orgrdfs.sioc.ns.ItemImpl
-
The content of the Item in plain text format.
- content_encoded - Variable in class orgrdfs.sioc.ns.PostImpl
-
The encoded content of the Post, contained in CDATA areas.
- CONTENT_TYPE_KEY - Static variable in class org.openimaj.hadoop.sequencefile.MetadataConfiguration
-
Standard key for a storing an indicator of the mime-type of the value
fields
- CONTEXT - Static variable in class org.openimaj.hardware.kinect.KinectController
-
- context - Variable in class org.openimaj.image.processing.CLImageAnalyser
-
- context - Variable in class org.openimaj.image.processing.CLImageProcessor
-
- context - Variable in class org.openimaj.storm.spout.SimpleSpout
-
- Context - Class in org.openimaj.util.data
-
A Context is a
Map
which can give typed elements and can fail
gracefully when elements don't exist.
- Context() - Constructor for class org.openimaj.util.data.Context
-
Default constructor to make an empty
Context
.
- Context(Object...) - Constructor for class org.openimaj.util.data.Context
-
A conveniance function where nameval.length % 2 is assumed to == 0 and
nameval contains pairs of "key" : value instances
- Context(boolean) - Constructor for class org.openimaj.util.data.Context
-
- ContextAdaptor<ADAPTED,IN,OUT> - Class in org.openimaj.util.function.context
-
Base class that holds the elements required to adapt something (i.e.
- ContextAdaptor(ADAPTED, ContextExtractor<IN>, ContextInsertor<OUT>) - Constructor for class org.openimaj.util.function.context.ContextAdaptor
-
Construct with the given options.
- ContextAdaptor(ADAPTED, String, String) - Constructor for class org.openimaj.util.function.context.ContextAdaptor
-
Construct with the given object to adapt.
- ContextAwareInitStrategy<INDEPENDANT,DEPENDANT> - Interface in org.openimaj.ml.linear.learner.init
-
A
ContextAwareInitStrategy
is told the learner it is initialising against
and the current INDEPENDANT and DEPENDANT variables at init time.
- ContextExtractor<T> - Interface in org.openimaj.util.function.context
-
Given a context, extract an element of type T.
- ContextFunctionAdaptor<IN,OUT> - Class in org.openimaj.util.function.context
-
An adaptor that allows a
Function
to be applied to a single element
of a
Context
, and store its output in a (potentially) different slot
of the
Context
.
- ContextFunctionAdaptor(Function<IN, OUT>, ContextExtractor<IN>, ContextInsertor<OUT>) - Constructor for class org.openimaj.util.function.context.ContextFunctionAdaptor
-
- ContextFunctionAdaptor(Function<IN, OUT>, String, String) - Constructor for class org.openimaj.util.function.context.ContextFunctionAdaptor
-
Construct
ContextFunctionAdaptor
that reads data from a given
key, applies a function and sets the result in a different key.
- ContextFunctionAdaptor(String, Function<IN, OUT>) - Constructor for class org.openimaj.util.function.context.ContextFunctionAdaptor
-
Construct
ContextFunctionAdaptor
that reads data from a given
key, applies a function and sets the result with the same key.
- ContextGenerator<T> - Class in org.openimaj.util.function.context
-
Generate a context stream from a stream of other objects.
- ContextGenerator(ContextInsertor<T>) - Constructor for class org.openimaj.util.function.context.ContextGenerator
-
Construct with the given insertor.
- ContextGenerator(String) - Constructor for class org.openimaj.util.function.context.ContextGenerator
-
- ContextInsertor<T> - Interface in org.openimaj.util.function.context
-
Given a context, insert an object of type T
- ContextListFilter<IN> - Class in org.openimaj.util.function.context
-
Filter a list of items belonging to a single
Context
entry using a
predicate
- ContextListFilter(Predicate<IN>, ContextExtractor<List<IN>>, ContextInsertor<List<IN>>) - Constructor for class org.openimaj.util.function.context.ContextListFilter
-
Construct with the given options.
- ContextListFilter(Predicate<IN>, String, String) - Constructor for class org.openimaj.util.function.context.ContextListFilter
-
Construct with the given predicate.
- ContextListFilter(Predicate<IN>, String) - Constructor for class org.openimaj.util.function.context.ContextListFilter
-
Construct with the given predicate.
- ContextListFunction<IN,OUT> - Class in org.openimaj.util.function.context
-
Apply a
Function
to a list held within a single element of a
Context
, writing the resultant list back to the
Context
,
potentially with a different key.
- ContextListFunction(Function<IN, OUT>, ContextExtractor<List<IN>>, ContextInsertor<List<OUT>>) - Constructor for class org.openimaj.util.function.context.ContextListFunction
-
Construct with the given options.
- ContextListFunction(Function<IN, OUT>, String, String) - Constructor for class org.openimaj.util.function.context.ContextListFunction
-
Construct with the function.
- ContextListFunction(Function<IN, OUT>, String) - Constructor for class org.openimaj.util.function.context.ContextListFunction
-
Construct with the given function.
- ContextListTransform<T> - Class in org.openimaj.util.function.context
-
- ContextListTransform(ContextExtractor<T>) - Constructor for class org.openimaj.util.function.context.ContextListTransform
-
Construct with the given extractor.
- ContextListTransform(String) - Constructor for class org.openimaj.util.function.context.ContextListTransform
-
- ContextListTransformFunction<IN,OUT> - Class in org.openimaj.util.function.context
-
Transform a
List
of
Context
instances to a
List
of IN
and immediately hand this list to an internal function.
- ContextListTransformFunction(ContextExtractor<IN>, Function<List<IN>, OUT>) - Constructor for class org.openimaj.util.function.context.ContextListTransformFunction
-
- ContextListTransformFunction(String, Function<List<IN>, OUT>) - Constructor for class org.openimaj.util.function.context.ContextListTransformFunction
-
- ContextOperationAdaptor<T> - Class in org.openimaj.util.function.context
-
An adaptor that allows an
Operation
to be applied to a single element
of the
Context
.
- ContextOperationAdaptor(Operation<T>, ContextExtractor<T>) - Constructor for class org.openimaj.util.function.context.ContextOperationAdaptor
-
Construct with the given operation and extractor
- ContextOperationAdaptor(Operation<T>, String) - Constructor for class org.openimaj.util.function.context.ContextOperationAdaptor
-
Construct with the given operation.
- ContextPredicateAdaptor<T> - Class in org.openimaj.util.function.context
-
- ContextPredicateAdaptor(Predicate<T>, ContextExtractor<T>, ContextInsertor<T>) - Constructor for class org.openimaj.util.function.context.ContextPredicateAdaptor
-
Construct with the given options.
- ContextPredicateAdaptor(Predicate<T>, String, String) - Constructor for class org.openimaj.util.function.context.ContextPredicateAdaptor
-
Construct with the given predicate.
- ContextPredicateAdaptor(Predicate<T>, String) - Constructor for class org.openimaj.util.function.context.ContextPredicateAdaptor
-
Construct with the given predicate.
- ContextRealTimeWindowFunction<IN> - Class in org.openimaj.util.stream.window
-
Given a period of time to wait in milliseconds, this function consumes
a stream for that period of time and produces a new stream of lists representing windows of that time period
- ContextRealTimeWindowFunction(long) - Constructor for class org.openimaj.util.stream.window.ContextRealTimeWindowFunction
-
- ContextRoundRobinTwitterSearchAPIDataset - Class in org.openimaj.stream.provider.twitter
-
- ContextRoundRobinTwitterSearchAPIDataset(List<Query>, TwitterAPIToken, BlockingDroppingQueue<Context>) - Constructor for class org.openimaj.stream.provider.twitter.ContextRoundRobinTwitterSearchAPIDataset
-
- ContextStreamCombiner - Class in org.openimaj.util.stream.combine
-
A stream combiner takes two streams of
Context
objects and produces a
new stream of
Context
s which contain the stream values from both
input streams.
- ContextStreamCombiner(Stream<Context>, Stream<Context>) - Constructor for class org.openimaj.util.stream.combine.ContextStreamCombiner
-
Construct the combiner to consume the two given streams.
- ContextStreamCombiner(Stream<Context>, Stream<Context>, String, String) - Constructor for class org.openimaj.util.stream.combine.ContextStreamCombiner
-
Construct the combiner to consume the two given streams, using the given
prefixes to modify the keys from the respective streams.
- ContextTransform<T> - Class in org.openimaj.util.function.context
-
Transform a context into a stream of another type based on items extracted
from the context
- ContextTransform(ContextExtractor<T>) - Constructor for class org.openimaj.util.function.context.ContextTransform
-
Construct with the given extractor
- ContextTransform(String) - Constructor for class org.openimaj.util.function.context.ContextTransform
-
- Contour - Class in org.openimaj.image.contour
-
A contour or hierarchical set of contours within an image.
- Contour(ContourType) - Constructor for class org.openimaj.image.contour.Contour
-
Construct a contour with the given type and start at the origin
- Contour(ContourType, int, int) - Constructor for class org.openimaj.image.contour.Contour
-
Construct a contour with the given type and start pixel
- Contour(ContourType, Pixel) - Constructor for class org.openimaj.image.contour.Contour
-
Construct a contour with the given type and start pixel
- Contour(int, int) - Constructor for class org.openimaj.image.contour.Contour
-
Construct a contour with the given starting coordinate and a
null
type.
- contour(FImage, Pixel, Pixel) - Method in class org.openimaj.image.contour.ContourFollowingStrategy
-
Follow the contour, adding each pixel to a list.
- contour(FImage, Pixel, Pixel, Operation<Pixel>) - Method in class org.openimaj.image.contour.ContourFollowingStrategy
-
Given some starting pixel in an image on a contour and the direction of a
non starting image, return each pixel on a contour from the start pixel
in the image.
- contour(FImage, Pixel, Pixel, Operation<Pixel>) - Method in class org.openimaj.image.contour.MooreNeighborStrategy
-
- contour(FImage, Pixel, Pixel, Operation<Pixel>) - Method in class org.openimaj.image.contour.SuzukiNeighborStrategy
-
- ContourFollowingStrategy - Class in org.openimaj.image.contour
-
A contour Following strategy implements a Contour Tracing algorithm that
extracts a boundary from an image
- ContourFollowingStrategy() - Constructor for class org.openimaj.image.contour.ContourFollowingStrategy
-
- contourIterable() - Method in class org.openimaj.image.contour.Contour
-
Get an
Iterable
over all the contours belonging to this root
(including the root itself)
- contourIterator() - Method in class org.openimaj.image.contour.Contour
-
Get an iterator over the complete set of contours (including the root
itself)
- ContourRenderer - Class in org.openimaj.image.contour
-
- ContourRenderer(MBFImage) - Constructor for class org.openimaj.image.contour.ContourRenderer
-
Construct with the given target image.
- ContourType - Enum in org.openimaj.image.contour
-
The contour type
- convert(ELEMENTTYPE) - Method in class org.openimaj.data.AbstractMultiListDataSource
-
Convert an item's type
- convert(T) - Method in class org.openimaj.feature.local.data.LocalFeatureListDataSource
-
- convert(CLContext, MBFImage) - Static method in class org.openimaj.image.CLImageConversion
-
Convert an
MBFImage
to an RGBA
CLImage2D
.
- convert(CLContext, FImage) - Static method in class org.openimaj.image.CLImageConversion
-
Convert an
FImage
to
CLImage2D
.
- convert(CLContext, I) - Static method in class org.openimaj.image.CLImageConversion
-
Convert an
Image
to
CLImage2D
.
- convert(CLQueue, CLEvent, CLImage2D, MBFImage) - Static method in class org.openimaj.image.CLImageConversion
-
- convert(CLQueue, CLEvent, CLImage2D, FImage) - Static method in class org.openimaj.image.CLImageConversion
-
Convert a
CLImage2D
to an
FImage
.
- convert(CLQueue, CLEvent, CLImage2D, I) - Static method in class org.openimaj.image.CLImageConversion
-
Convert a
CLImage2D
to an
Image
.
- convert(MBFImage) - Method in enum org.openimaj.image.colour.ColourSpace
-
Convert the image to this colour space
- convert(MBFImage, ColourSpace) - Static method in enum org.openimaj.image.colour.ColourSpace
-
Convert the image to the given colour space
- convert(List<? extends Keypoint>) - Static method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- convert(List<MultiTracker.TrackedFace>, MBFImage) - Static method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
- convert(List<MultiTracker.TrackedFace>, FImage) - Static method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
- convert() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
- convert(DenseMatrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Convert a DenseMatrix
to a Matrix
.
- convert(DenseMatrix, int, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Convert a DenseMatrix
to a Matrix
.
- convert(FeatureVector, double) - Static method in class org.openimaj.ml.annotation.utils.LiblinearHelper
-
- convert(INPUTTS) - Method in class org.openimaj.ml.timeseries.converter.DoubleProviderTimeSeriesConverter
-
- convert(INPUTTS, TimeSeriesProcessor<double[], Double, DoubleTimeSeries>) - Method in class org.openimaj.ml.timeseries.converter.DoubleProviderTimeSeriesConverter
-
- convert(INPUTTS) - Method in interface org.openimaj.ml.timeseries.converter.TimeSeriesConverter
-
- convert(INPUTTS, TimeSeriesProcessor<OUTPUTALL, OUTPUTSINGLE, OUTPUTTS>) - Method in interface org.openimaj.ml.timeseries.converter.TimeSeriesConverter
-
convert and process a time series
- convert(TimeSeriesConverter<DATA, SINGLE_TYPE, RETURNTYPE, OUTDATA, OUTSING, OUTRET>) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- convert(TimeSeriesConverter<DATA, SINGLE_TYPE, RETURNTYPE, OUTDATA, OUTSING, OUTRET>, TimeSeriesProcessor<OUTDATA, OUTSING, OUTRET>) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- convert(Double[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Double[] to double[].
- convert(double[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Double[] to Double[].
- convert(Float[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Float[] to float[].
- convert(float[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Float[] to Float[].
- convert(Integer[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Integer[] to int[].
- convert(int[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Int[] to Integer[].
- convert(Long[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Long[] to long[].
- convert(long[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Long[] to Long[].
- convert(Byte[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Byte[] to byte[].
- convert(byte[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Byte[] to Byte[].
- convert(Short[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Short[] to short[].
- convert(short[]) - Method in class org.openimaj.util.array.ArrayUtils
-
Convert from Short[] to Short[].
- convertDense(FeatureVector, double) - Static method in class org.openimaj.ml.annotation.utils.LiblinearHelper
-
- convertFromFB(FloatBuffer, int, int, MBFImage) - Static method in class org.openimaj.image.CLImageConversion
-
- convertFromFB(FloatBuffer, int, int, FImage) - Static method in class org.openimaj.image.CLImageConversion
-
- convertFromRGB(MBFImage) - Method in enum org.openimaj.image.colour.ColourSpace
-
Convert the given RGB image to the current colour space
- convertFromRGB(Float[]) - Method in enum org.openimaj.image.colour.ColourSpace
-
Convert the given RGB image to the current colour space
- convertInternal(TimeSeriesConverter<ALLINPUT, SINGLEINPUT, INTERNALSERIES, OUTPUTALL, OUTPUTSINGLE, OUTPUTTS>, OUTPUTTSC) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- convertInternal(TimeSeriesConverter<ALLINPUT, SINGLEINPUT, INTERNALSERIES, OUTPUTALL, OUTPUTSINGLE, OUTPUTTS>, TimeSeriesProcessor<OUTPUTALL, OUTPUTSINGLE, OUTPUTTS>, OUTPUTTSC) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- convertRelevant(Map<Q, Set<D>>) - Static method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalAnalyser
-
- convertResults(Map<Q, List<D>>) - Static method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalAnalyser
-
- convertToDouble(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a double array to a double array.
- convertToDouble(double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a double array to a double array.
- convertToDouble(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a float array to a double array.
- convertToDouble(float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a float array to a double array.
- convertToDouble(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a int array to a double array.
- convertToDouble(int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a int array to a double array.
- convertToDouble(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a long array to a double array.
- convertToDouble(long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a long array to a double array.
- convertToDouble(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a byte array to a double array.
- convertToDouble(byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a byte array to a double array.
- convertToDouble(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a short array to a double array.
- convertToDouble(short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a short array to a double array.
- convertToFB(MBFImage, ByteOrder) - Static method in class org.openimaj.image.CLImageConversion
-
- convertToFB(FImage, ByteOrder) - Static method in class org.openimaj.image.CLImageConversion
-
Converts an FImage to a
FloatBuffer
containing packed
intensity pixels.
- convertToFloat(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a double array to a float array.
- convertToFloat(double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a double array to a float array.
- convertToFloat(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a float array to a float array.
- convertToFloat(float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a float array to a float array.
- convertToFloat(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a int array to a float array.
- convertToFloat(int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a int array to a float array.
- convertToFloat(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a long array to a float array.
- convertToFloat(long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a long array to a float array.
- convertToFloat(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a byte array to a float array.
- convertToFloat(byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a byte array to a float array.
- convertToFloat(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a short array to a float array.
- convertToFloat(short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert a short array to a float array.
- convertToOutputFormat(USMFStatus) - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
Provides the functionality to convert to the required output format as
specified by -ot
- convertToRGB(Float[]) - Method in enum org.openimaj.image.colour.ColourSpace
-
Convert the given RGB image to the current colour space
- convertToRGB(MBFImage) - Method in enum org.openimaj.image.colour.ColourSpace
-
Convert the image in this color space to RGB
- convertToType(BufferedImage, int) - Static method in class org.openimaj.video.xuggle.XuggleVideoWriter
-
- convertToURI(String) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Converts a string representing a file or uri to a uri object.
- ConvertUSMFList - Class in org.openimaj.twitter.collection
-
This wrapper allows the writing of a list such that each element is converted using a conversion function
- ConvertUSMFList(TwitterStatusList<? extends USMFStatus>, Class<? extends GeneralJSON>) - Constructor for class org.openimaj.twitter.collection.ConvertUSMFList
-
- CONVEX_CORNERS - Static variable in class org.openimaj.image.processing.morphology.HitAndMiss
-
Hit and miss operator for detecting convex corners
- ConvexityCheck2D<M extends Model<Point2d,Point2d> & MatrixTransformProvider> - Class in org.openimaj.math.geometry.transforms.check
-
Test that a 2d transform model preserves convexity
- ConvexityCheck2D() - Constructor for class org.openimaj.math.geometry.transforms.check.ConvexityCheck2D
-
- ConvexityDefect - Class in org.openimaj.math.geometry.shape.algorithm
-
Class representing a convexity defect of a polygon, with methods for finding
said defects.
- convolve(FImage, float[][], boolean) - Static method in class org.openimaj.image.processing.convolution.FourierConvolve
-
Convolve an image with a kernel using an FFT.
- convolveBuffer(float[], float[]) - Static method in class org.openimaj.image.processing.convolution.FImageConvolveSeparable
-
- convolveHorizontal(FImage, float[]) - Static method in class org.openimaj.image.processing.convolution.FImageConvolveSeparable
-
Convolve the image in the horizontal direction with the kernel.
- convolveHorizontal(double[], double[]) - Static method in class org.openimaj.ml.timeseries.processor.GaussianTimeSeriesProcessor
-
Convolve a double array
- convolvePrepared(FImage, FImage, boolean) - Static method in class org.openimaj.image.processing.convolution.FourierConvolve
-
Convolve an image with a pre-prepared frequency domain filter.
- convolveVertical(FImage, float[]) - Static method in class org.openimaj.image.processing.convolution.FImageConvolveSeparable
-
Convolve the image in the vertical direction with the kernel.
- Coordinate - Interface in org.openimaj.math.geometry.point
-
Generic interface to get the distance along a dimension of an object
representing a point in an n-dimensional space
- CoordinateBruteForce<T extends Coordinate> - Class in org.openimaj.knn
-
Implementation of a
CoordinateIndex
that performs
searching by brute-force comparison over the indexed coordinates.
- CoordinateBruteForce() - Constructor for class org.openimaj.knn.CoordinateBruteForce
-
Default constructor.
- CoordinateBruteForce(List<T>) - Constructor for class org.openimaj.knn.CoordinateBruteForce
-
Construct the index and populate it with the given data.
- CoordinateIndex<T extends Coordinate> - Interface in org.openimaj.knn
-
Interface representing an index of
Coordinate
s that can
have points added to it and can be searched in a variety of ways.
- CoordinateKDTree<T extends Coordinate> - Class in org.openimaj.knn
-
Implementation of a simple KDTree with range search.
- CoordinateKDTree() - Constructor for class org.openimaj.knn.CoordinateKDTree
-
Create an empty KDTree object
- CoordinateKDTree(Collection<T>) - Constructor for class org.openimaj.knn.CoordinateKDTree
-
Create a KDTree object and populate it with the given data.
- coordinateRadiusSearch(byte[], byte) - Method in class org.openimaj.util.tree.ByteKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(byte[], byte, TObjectFloatProcedure<byte[]>) - Method in class org.openimaj.util.tree.ByteKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(double[], double) - Method in class org.openimaj.util.tree.DoubleKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(double[], double, TObjectDoubleProcedure<double[]>) - Method in class org.openimaj.util.tree.DoubleKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(float[], float) - Method in class org.openimaj.util.tree.FloatKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(float[], float, TObjectFloatProcedure<float[]>) - Method in class org.openimaj.util.tree.FloatKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(int[], int) - Method in class org.openimaj.util.tree.IntKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(int[], int, TObjectFloatProcedure<int[]>) - Method in class org.openimaj.util.tree.IntKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(long[], long) - Method in class org.openimaj.util.tree.LongKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(long[], long, TObjectDoubleProcedure<long[]>) - Method in class org.openimaj.util.tree.LongKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(short[], short) - Method in class org.openimaj.util.tree.ShortKDTree
-
Find all the points within the given radius of the given point.
- coordinateRadiusSearch(short[], short, TObjectFloatProcedure<short[]>) - Method in class org.openimaj.util.tree.ShortKDTree
-
Find all the points within the given radius of the given point.
- coordinateRangeSearch(byte[], byte[]) - Method in class org.openimaj.util.tree.ByteKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- coordinateRangeSearch(double[], double[]) - Method in class org.openimaj.util.tree.DoubleKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- coordinateRangeSearch(float[], float[]) - Method in class org.openimaj.util.tree.FloatKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- coordinateRangeSearch(int[], int[]) - Method in class org.openimaj.util.tree.IntKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- coordinateRangeSearch(long[], long[]) - Method in class org.openimaj.util.tree.LongKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- coordinateRangeSearch(short[], short[]) - Method in class org.openimaj.util.tree.ShortKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- coordinates - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- copy(double[], int, int) - Static method in class ch.akuhn.matrix.Vector
-
Copy a range from an array into a vector.
- copy() - Method in class com.jsaragih.CLM
-
Makes a copy of this CLM.
- copy() - Method in class com.jsaragih.MPatch
-
Returns a copy of this MPatch
- copy() - Method in class com.jsaragih.Patch
-
Returns a copy of this patch
- copy() - Method in class com.jsaragih.PDM
-
Returns a copy of this PDM.
- copy() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- copy() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- copy() - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- copy() - Method in class org.openimaj.image.pixel.Pixel
-
- copy() - Method in class org.openimaj.math.geometry.point.DoublePoint2dImpl
-
- copy() - Method in interface org.openimaj.math.geometry.point.Point2d
-
Clone the point
- copy() - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- copy() - Method in interface org.openimaj.math.geometry.point.Point3d
-
Clone the point
- copy() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- copy(T) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Copy a matrix
- copy() - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
- copy() - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- copy() - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- copy() - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- copy() - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- copy() - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- copy() - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- copy() - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- copy() - Method in class org.openimaj.util.array.SparseByteArray
-
Deep copy the array.
- copy() - Method in class org.openimaj.util.array.SparseDoubleArray
-
Deep copy the array.
- copy() - Method in class org.openimaj.util.array.SparseFloatArray
-
Deep copy the array.
- copy() - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- copy() - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- copy() - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- copy() - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- copy() - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- copy() - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- copy() - Method in class org.openimaj.util.array.SparseIntArray
-
Deep copy the array.
- copy() - Method in class org.openimaj.util.array.SparseLongArray
-
Deep copy the array.
- copy() - Method in class org.openimaj.util.array.SparseShortArray
-
Deep copy the array.
- copy() - Method in class org.openimaj.video.tracking.klt.Feature
-
- copyFrom(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- copyFrom(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- copyFrom(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- copyFrom(Point2d) - Method in class org.openimaj.image.pixel.Pixel
-
Copy the values of the given point into this point.
- copyFrom(Point2d) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- copyFrom(Point2d) - Method in interface org.openimaj.math.geometry.point.Point2d
-
Copy the values of the given point into this point.
- copyFrom(Point2d) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- copyFrom(Point3d) - Method in interface org.openimaj.math.geometry.point.Point3d
-
Copy the values of the given point into this point.
- copyFrom(Point3d) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- copyFrom(Point2d) - Method in class org.openimaj.video.tracking.klt.Feature
-
- copyStreamToFile(InputStream, File) - Static method in class org.openimaj.io.FileUtils
-
Helper function for writing a text stream to a file.
- copyStreamToFileBinary(InputStream, File) - Static method in class org.openimaj.io.FileUtils
-
Helper function for writing a binary stream to a file.
- CORE - Static variable in enum org.openimaj.image.objectdetection.haar.training.HaarFeatureType
-
Set of the core features (all but tilted features)
- Corel5kDataset - Class in org.openimaj.image.annotation.evaluation.dataset
-
- Corel5kDataset() - Constructor for class org.openimaj.image.annotation.evaluation.dataset.Corel5kDataset
-
- Corel5kDataset.HistogramExtractor - Class in org.openimaj.image.annotation.evaluation.dataset
-
- CorelAnnotatedImage - Class in org.openimaj.image.annotation.evaluation.dataset
-
- CorelAnnotatedImage(String, File, File) - Constructor for class org.openimaj.image.annotation.evaluation.dataset.CorelAnnotatedImage
-
- cornerEst - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
The estimated number of corners of the component
- cornerness - Variable in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
The saliency of the interest point
- Corpus - Class in org.openimaj.pgm.util
-
A corpus holds a list of documents
- Corpus(int) - Constructor for class org.openimaj.pgm.util.Corpus
-
- CorpusReader - Interface in org.openimaj.pgm.util
-
- correct - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalysis
-
Stats regarding the correct or baseline clusters
- correct - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
The correct clustering
- correct(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.MeanCenteredKernelPerceptron
-
- correct(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.MeanCenteredProjectron
-
- correct(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.PlusOneDoubleArrayKernelPerceptron
-
- correctEdges(String) - Method in class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider
-
- correctEdges(String) - Method in class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider.Left
-
- correctEdges(String) - Method in class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider.Right
-
- correctNaN(double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- correlate(FImage, FImage, boolean) - Static method in class org.openimaj.image.processing.algorithm.FourierCorrelation
-
Correlate an image with a kernel using an FFT.
- CORRELATE_WORDTIME - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordTimeSeries
-
the directory this stage will output
- CorrelateWordSort - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.correlation
-
- CorrelateWordSort(double) - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordSort
-
- CorrelateWordTimeSeries - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.correlation
-
- CorrelateWordTimeSeries(String, IndependentPair<Long, Long>) - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordTimeSeries
-
- CorrelationOutputMode - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.correlation
-
- CorrelationOutputMode() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelationOutputMode
-
- correspondance(List<Pair<Keypoint>>, Matrix) - Static method in class org.openimaj.feature.local.matcher.KeypointCorrespondenceTestHelper
-
Provide simplistic check of correspondence between the keypoints extracted and a given transform.
- correspondance(List<Pair<Keypoint>>, Matrix, float) - Static method in class org.openimaj.feature.local.matcher.KeypointCorrespondenceTestHelper
-
Provide simplistic check of correspondence between the keypoints extracted and a given transform.
- cosine(DenseVector) - Method in class ch.akuhn.matrix.DenseVector
-
Cosine of angle between this and another vector
- count(double[][]) - Static method in class ch.akuhn.matrix.Util
-
Count
- Count(int) - Constructor for class org.openimaj.image.feature.local.interest.IPDSelectionMode.Count
-
- count - Variable in class org.openimaj.text.nlp.sentiment.lexicon.TotalLexBuilder.Counter
-
- count_contours() - Method in class org.openimaj.math.geometry.shape.util.polygon.TopPolygonNode
-
- countActive() - Method in class org.openimaj.image.processing.morphology.StructuringElement
-
Count the total (positive and negative) number of pixels in this
structuring element
- countActiveLeafNodes() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Count number of active leaf nodes.
- countActiveLeafNodes() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Count number of active leaf nodes.
- countActiveLeafNodes() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Count number of active leaf nodes.
- countActiveLeafNodes() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Count number of active leaf nodes.
- countActiveLeafNodes() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Count number of active leaf nodes.
- countActiveLeafNodes() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Count number of active leaf nodes.
- countBaselineBetter() - Method in class org.lemurproject.ireval.SetRetrievalComparator
-
- countBipolarSentiment() - Method in interface org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentimentProvider
-
- countBipolarSentiment() - Method in class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
- countEqual() - Method in class org.lemurproject.ireval.SetRetrievalComparator
-
- Counter() - Constructor for class org.openimaj.text.nlp.sentiment.lexicon.TotalLexBuilder.Counter
-
- CounterMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.HadoopCounterTest.CounterMapper
-
- CounterMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.HadoopLZOTest.CounterMapper
-
- CounterReducer() - Constructor for class org.openimaj.hadoop.tools.twitter.HadoopCounterTest.CounterReducer
-
- CounterReducer() - Constructor for class org.openimaj.hadoop.tools.twitter.HadoopLZOTest.CounterReducer
-
- countFrames() - Method in class org.openimaj.hardware.kinect.KinectStream
-
- countFrames() - Method in class org.openimaj.video.AnimatedVideo
-
- countFrames() - Method in class org.openimaj.video.ArrayBackedVideo
-
- countFrames() - Method in class org.openimaj.video.capture.VideoCapture
-
- countFrames() - Method in class org.openimaj.video.FileBackedVideo
-
- countFrames() - Method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- countFrames() - Method in class org.openimaj.video.processor.VideoProcessor
-
Return the number of frames in the whole video.
- countFrames() - Method in class org.openimaj.video.translator.VideoTranslator
-
- countFrames() - Method in class org.openimaj.video.Video
-
Return the number of frames in the whole video.
- countFrames() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Return the number of frames in the whole video.
- countFrames() - Method in class org.openimaj.web.video.VGetVideo
-
- countImages() - Method in interface org.openimaj.tools.imagecollection.collection.ImageCollection
-
- countImages() - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection
-
- countImages() - Method in class org.openimaj.tools.imagecollection.collection.video.YouTubeVideoImageCollection
-
- countImages() - Method in class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection
-
- CountingEmittingBolt - Class in org.openimaj.storm.bolt
-
A simple Storm IBasicBolt
whose purpose is to increment a count on
the reciept of a tuple followed by an emit of the same tuple.
- CountingEmittingBolt(Fields) - Constructor for class org.openimaj.storm.bolt.CountingEmittingBolt
-
- countLeafs() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Total number of leaves assuming leaves = K^depth
- countLeafs() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Total number of leaves assuming leaves = K^depth
- countLeafs() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Total number of leaves assuming leaves = K^depth
- countLeafs() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Total number of leaves assuming leaves = K^depth
- countLeafs() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Total number of leaves assuming leaves = K^depth
- countLeafs() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Total number of leaves assuming leaves = K^depth
- countLines(File) - Static method in class org.openimaj.io.FileUtils
-
Count the number of newlines in the given file
- CountMin - Class in org.openimaj.ml.sketch.countmin
-
CountMin as described in the reference below
- CountMin(int, int) - Constructor for class org.openimaj.ml.sketch.countmin.CountMin
-
- countMSERs(TreeNode<Component>) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
Returns a count of the number of components in the tree that are marked
as MSERs.
- countRemainingFeatures() - Method in class org.openimaj.video.tracking.klt.FeatureList
-
KLTCountRemainingFeatures
- country_code - Variable in class org.openimaj.twitter.USMFStatus
-
the ISO A2 country code
- countryCode(String) - Method in class org.openimaj.text.nlp.geocode.ReverseGeoCode
-
- CountryCodeMode - Class in org.openimaj.tools.twitter.modes.preprocessing
-
Use the twokeniser to tokenise tweets
- CountryCodeMode() - Constructor for class org.openimaj.tools.twitter.modes.preprocessing.CountryCodeMode
-
- CountSplitMode - Class in org.openimaj.tools.reddit
-
The count split mode fills each file with an equal number of items.
- CountSplitMode() - Constructor for class org.openimaj.tools.reddit.CountSplitMode
-
- countTreatmentBetter() - Method in class org.lemurproject.ireval.SetRetrievalComparator
-
- CountTweetsInTimeperiod - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
A mapper/reducer whose purpose is to do the following:
function(timePeriodLength) So a word in a tweet can happen in the time period
between t - 1 and t.
- CountTweetsInTimeperiod(String[], long) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
- CountTweetsInTimeperiod(String[], boolean, long) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
- CountTweetsInTimeperiod.InMemoryCombiningReducer - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
reduce input: ,...,]> reduce output:
,,,...>
- CountTweetsInTimeperiod.Map - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
map input: tweetstatus # json twitter status with JSONPath to words map
output: ,
-1: >
- CountTweetsInTimeperiod.TimeIndexReducer - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
- countUniqueWords() - Method in class org.openimaj.pgm.util.Document
-
- CountWordsAcrossTimeperiod - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
- CountWordsAcrossTimeperiod(String[]) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod
-
- CountWordsAcrossTimeperiod(String[], boolean) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod
-
- CountWordsAcrossTimeperiod.Map - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
function(timePeriodLength) map input: ,,,...> map output: [ word:
, word: , ...
- CountWordsAcrossTimeperiod.NonCombinedTimesReducer - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
reduce input: ,
,...
- CountWordsAcrossTimeperiod.Reduce - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
reduce input: ,
,...
- covar - Variable in class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
- covar - Variable in class org.openimaj.math.statistics.distribution.FullMultivariateGaussian
-
The covariance matrix
- covar - Variable in class org.openimaj.math.statistics.MeanAndCovariance
-
The covariance matrix (NxN)
- covariance(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the covariance matrix of the given samples (assumed each sample is a
row).
- CovarPrincipalComponentAnalysis - Class in org.openimaj.math.matrix.algorithm.pca
-
Naive Principle Component Analysis performed by directly calculating
the covariance matrix and then performing an Eigen decomposition.
- CovarPrincipalComponentAnalysis() - Constructor for class org.openimaj.math.matrix.algorithm.pca.CovarPrincipalComponentAnalysis
-
- CovarPrincipalComponentAnalysis(int) - Constructor for class org.openimaj.math.matrix.algorithm.pca.CovarPrincipalComponentAnalysis
-
- create(String, Field, Object) - Static method in class org.kohsuke.args4j.spi.Getters
-
- create(TreeMap<String, ArrayList<RetrievalEvaluator.Document>>, TreeMap<String, ArrayList<RetrievalEvaluator.Judgment>>) - Static method in class org.lemurproject.ireval.IREval
-
Creates a SetRetrievalEvaluator from data from loadRanking and loadJudgments.
- create(EXTRACTOR) - Static method in class org.openimaj.feature.FVProviderExtractor
-
- create(InputStreamObjectReader<IMAGE>, BingImageDataset.ImageDataSourceQuery, int) - Static method in class org.openimaj.image.dataset.BingImageDataset
-
Perform a search with the given query.
- create(InputStreamObjectReader<IMAGE>, BingAPIToken, BingImageDataset.ImageDataSourceQuery, int) - Static method in class org.openimaj.image.dataset.BingImageDataset
-
Perform a search with the given query.
- create(InputStreamObjectReader<IMAGE>, BingAPIToken, String, int) - Static method in class org.openimaj.image.dataset.BingImageDataset
-
Perform a search with the given query string.
- create(InputStreamObjectReader<IMAGE>, FlickrAPIToken, URL) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from the flickr gallery, photoset or collection
at the given url.
- create(InputStreamObjectReader<IMAGE>, FlickrAPIToken, String) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset by searching flickr with the given search terms.
- create(InputStreamObjectReader<IMAGE>, FlickrAPIToken, String, int) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset by searching flickr with the given search terms.
- create(InputStreamObjectReader<IMAGE>, FlickrAPIToken, URL, int) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from the flickr gallery, photoset or collection
at the given url.
- create(List<IndependentPair<PointList, IMAGE>>, PointListConnections) - Static method in class org.openimaj.image.model.asm.datasets.ShapeModelDatasets
-
Create a dataset with the given data.
- create(List<WeightedRectangle>, boolean) - Static method in class org.openimaj.image.objectdetection.haar.HaarFeature
-
Create a feature from the given data.
- create(boolean, int, int, int, int, float, int, int, int, int, float) - Static method in class org.openimaj.image.objectdetection.haar.HaarFeature
-
Construct a feature with the given parameters.
- create(boolean, int, int, int, int, float, int, int, int, int, float, int, int, int, int, float) - Static method in class org.openimaj.image.objectdetection.haar.HaarFeature
-
Construct a feature with the given parameters.
- create(int, int, int, int, int, int) - Method in enum org.openimaj.image.objectdetection.haar.training.HaarFeatureType
-
Create a feature.
- create(IncrementalAnnotator<FACE, PERSON>) - Static method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- create(GroupedDataset<PERSON, ? extends ListDataset<FACE>, FACE>) - Method in interface org.openimaj.image.processing.face.recognition.benchmarking.FaceRecogniserProvider
-
Create and train a new recogniser instance based on the given dataset
- create(int, FaceAligner<FACE>, int, DoubleFVComparator, float) - Static method in class org.openimaj.image.processing.face.recognition.EigenFaceRecogniser
-
Convenience method to create an
EigenFaceRecogniser
with a
standard KNN classifier, incorporating a threshold on the maximum
distance (or minimum similarity) to allow a match.
- create(int, FaceAligner<FACE>, int, DoubleFVComparator) - Static method in class org.openimaj.image.processing.face.recognition.EigenFaceRecogniser
-
- create(FaceDetector<FACE, FImage>, FaceRecogniser<FACE, PERSON>) - Static method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- create(int, FaceAligner<FACE>, int, DoubleFVComparator) - Static method in class org.openimaj.image.processing.face.recognition.FisherFaceRecogniser
-
- create(int, FaceAligner<FACE>, int, DoubleFVComparator, float) - Static method in class org.openimaj.image.processing.face.recognition.FisherFaceRecogniser
-
Convenience method to create an
FisherFaceRecogniser
with a
standard KNN classifier, incorporating a threshold on the maximum
distance (or minimum similarity) to allow a match.
- create(FaceDetector<D, I>, FacialFeatureExtractor<F, D>, FacialFeatureComparator<F>) - Static method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
- create(byte[][]) - Method in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree.Factory
-
- create(double[][]) - Method in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree.Factory
-
- create(float[][]) - Method in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree.Factory
-
- create(int[][]) - Method in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree.Factory
-
- create(long[][]) - Method in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree.Factory
-
- create(short[][]) - Method in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree.Factory
-
- create(byte[][]) - Method in class org.openimaj.knn.ByteNearestNeighboursExact.Factory
-
- create(double[][]) - Method in class org.openimaj.knn.DoubleNearestNeighboursExact.Factory
-
- create(float[][]) - Method in class org.openimaj.knn.FloatNearestNeighboursExact.Factory
-
- create(int[][]) - Method in class org.openimaj.knn.IntNearestNeighboursExact.Factory
-
- create(long[][]) - Method in class org.openimaj.knn.LongNearestNeighboursExact.Factory
-
- create(DATA[]) - Method in interface org.openimaj.knn.NearestNeighboursFactory
-
- create(T[]) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact.Factory
-
- create(short[][]) - Method in class org.openimaj.knn.ShortNearestNeighboursExact.Factory
-
- create() - Method in class org.openimaj.lsh.functions.ByteCauchyFactory
-
- create() - Method in class org.openimaj.lsh.functions.ByteGaussianFactory
-
- create() - Method in class org.openimaj.lsh.functions.ByteHammingFactory
-
- create() - Method in class org.openimaj.lsh.functions.ByteHyperplaneCosineFactory
-
- create() - Method in class org.openimaj.lsh.functions.ByteHyperplaneL1Factory
-
- create() - Method in class org.openimaj.lsh.functions.DoubleCauchyFactory
-
- create() - Method in class org.openimaj.lsh.functions.DoubleGaussianFactory
-
- create() - Method in class org.openimaj.lsh.functions.DoubleHammingFactory
-
- create() - Method in class org.openimaj.lsh.functions.DoubleHyperplaneCosineFactory
-
- create() - Method in class org.openimaj.lsh.functions.DoubleHyperplaneL1Factory
-
- create() - Method in class org.openimaj.lsh.functions.FloatCauchyFactory
-
- create() - Method in class org.openimaj.lsh.functions.FloatGaussianFactory
-
- create() - Method in class org.openimaj.lsh.functions.FloatHammingFactory
-
- create() - Method in class org.openimaj.lsh.functions.FloatHyperplaneCosineFactory
-
- create() - Method in class org.openimaj.lsh.functions.FloatHyperplaneL1Factory
-
- create() - Method in class org.openimaj.lsh.functions.IntCauchyFactory
-
- create() - Method in class org.openimaj.lsh.functions.IntGaussianFactory
-
- create() - Method in class org.openimaj.lsh.functions.IntHammingFactory
-
- create() - Method in class org.openimaj.lsh.functions.IntHyperplaneCosineFactory
-
- create() - Method in class org.openimaj.lsh.functions.IntHyperplaneL1Factory
-
- create() - Method in class org.openimaj.lsh.functions.LongCauchyFactory
-
- create() - Method in class org.openimaj.lsh.functions.LongGaussianFactory
-
- create() - Method in class org.openimaj.lsh.functions.LongHammingFactory
-
- create() - Method in class org.openimaj.lsh.functions.LongHyperplaneCosineFactory
-
- create() - Method in class org.openimaj.lsh.functions.LongHyperplaneL1Factory
-
- create() - Method in class org.openimaj.lsh.functions.ShortCauchyFactory
-
- create() - Method in class org.openimaj.lsh.functions.ShortGaussianFactory
-
- create() - Method in class org.openimaj.lsh.functions.ShortHammingFactory
-
- create() - Method in class org.openimaj.lsh.functions.ShortHyperplaneCosineFactory
-
- create() - Method in class org.openimaj.lsh.functions.ShortHyperplaneL1Factory
-
- create(OBJECT, Collection<ANNOTATION>) - Static method in class org.openimaj.ml.annotation.AnnotatedObject
-
- create(OBJECT, ANNOTATION) - Static method in class org.openimaj.ml.annotation.AnnotatedObject
-
- create(EXTRACTOR, DistanceComparator<FEATURE>, float) - Static method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
Create a new
KNNAnnotator
with the given extractor, comparator
and threshold.
- create(EXTRACTOR, DistanceComparator<FEATURE>) - Static method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
Create a new
KNNAnnotator
with the given extractor and
comparator.
- create(EXTRACTOR, DistanceComparator<FEATURE>, int) - Static method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
Create a new
KNNAnnotator
with the given extractor, comparator
and number of neighbours.
- create(EXTRACTOR, DistanceComparator<FEATURE>, int, float) - Static method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
Create a new
KNNAnnotator
with the given extractor, comparator,
number of neighbours and threshold.
- create(NaiveBayesAnnotator.Mode) - Static method in class org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator
-
- create(Status, String, Query) - Static method in class org.openimaj.stream.provider.twitter.QueryHoldingStatus
-
- create(byte[][]) - Method in class org.openimaj.tools.clusterquantiser.ClusterType.ClusterTypeOp
-
Create clusters from data
- create(List<SampleBatch>) - Method in class org.openimaj.tools.clusterquantiser.ClusterType.ClusterTypeOp
-
Create clusters from data
- create() - Static method in class org.openimaj.twitter.utils.Twitter4jUtil
-
- create(String, String, Function<IN, OUT>) - Static method in class org.openimaj.util.function.context.ContextFunctionAdaptor
-
Create a new
ContextFunctionAdaptor
that reads data from a given
key, applies a function and sets the result in a different key.
- create(Operation<IN>, String) - Static method in class org.openimaj.util.function.context.ContextOperationAdaptor
-
- create() - Method in interface org.openimaj.util.hash.HashFunctionFactory
-
- create() - Method in class org.openimaj.util.hash.StringMurmurHashFunctionFactory
-
- create(A, B) - Static method in class org.openimaj.util.stream.window.MetaPayload
-
Create a new
MetaPayload
created from the given payload and
metadata
- create(URL) - Static method in class org.openimaj.web.flickr.FlickrImage
-
Parses a Flickr URL and updates this object.
- createAgentJar(File, Class<?>) - Static method in class org.openimaj.aop.agent.AgentLoader
-
Create an agent jar file with the required manifest entries.
- createArray(int, int, int) - Static method in class org.openimaj.image.FImage
-
Convenience method to initialise an array of FImages
- createAudioPlayer(AudioStream) - Static method in class org.openimaj.audio.AudioPlayer
-
Create a new audio player in a separate thread for playing audio.
- createAudioPlayer(AudioStream, String) - Static method in class org.openimaj.audio.AudioPlayer
-
Create a new audio player in a separate thread for playing audio.
- createBlockSupport(int, int) - Static method in class org.openimaj.image.processing.algorithm.FilterSupport
-
Create a a rectangular support.
- createBufferedImage(Image<?, ?>) - Static method in class org.openimaj.image.ImageUtilities
-
- createBufferedImage(Image<?, ?>, BufferedImage) - Static method in class org.openimaj.image.ImageUtilities
-
- createBufferedImage(FImage) - Static method in class org.openimaj.image.ImageUtilities
-
Efficiently create a TYPE_BYTE_GRAY for display.
- createBufferedImage(FImage, BufferedImage) - Static method in class org.openimaj.image.ImageUtilities
-
Efficiently create a TYPE_BYTE_GRAY for display.
- createBufferedImageForDisplay(Image<?, ?>) - Static method in class org.openimaj.image.ImageUtilities
-
- createBufferedImageForDisplay(Image<?, ?>, BufferedImage) - Static method in class org.openimaj.image.ImageUtilities
-
- createBufferedImageForDisplay(MBFImage) - Static method in class org.openimaj.image.ImageUtilities
-
Efficiently create a TYPE_3BYTE_BGR for display if possible.
- createBufferedImageForDisplay(MBFImage, BufferedImage) - Static method in class org.openimaj.image.ImageUtilities
-
Efficiently create a TYPE_3BYTE_BGR for display if possible.
- createCrossValidationData(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>, int, int, int) - Static method in class org.openimaj.experiment.dataset.split.GroupedRandomSplitter
-
- created_at - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- created_at - Variable in class orgrdfs.sioc.ns.PostImpl
-
When this was created, in ISO 8601 format.
- createdAt() - Method in class org.openimaj.twitter.USMFStatus
-
- createdContextQuery(String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- createEmpty(int) - Method in class org.openimaj.io.wrappers.ReadableArrayBinary
-
- createEmptyLocation() - Method in class org.openimaj.image.feature.local.detector.ipd.collector.AffineInterestPointKeypoint
-
- createEmptyLocation() - Method in class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointKeypoint
-
- createEmptyLocation() - Method in class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
- createExact(int) - Static method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Convenience method to quickly create an exact
ByteKMeans
.
- createExact(int, int) - Static method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Convenience method to quickly create an exact
ByteKMeans
.
- createExact(int) - Static method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- createExact(int, int) - Static method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- createExact(int, DistanceComparator<? super T>) - Static method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Convenience method to quickly create an exact
ByteKMeans
.
- createExact(int, DistanceComparator<? super T>, int) - Static method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Convenience method to quickly create an exact
ByteKMeans
.
- createExact(int) - Static method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Convenience method to quickly create an exact
FloatKMeans
.
- createExact(int, int) - Static method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Convenience method to quickly create an exact
FloatKMeans
.
- createExact(int) - Static method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Convenience method to quickly create an exact
IntKMeans
.
- createExact(int, int) - Static method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Convenience method to quickly create an exact
IntKMeans
.
- createExact(int) - Static method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Convenience method to quickly create an exact
LongKMeans
.
- createExact(int, int) - Static method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Convenience method to quickly create an exact
LongKMeans
.
- createExact(int) - Static method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Convenience method to quickly create an exact
ShortKMeans
.
- createExact(int, int) - Static method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Convenience method to quickly create an exact
ShortKMeans
.
- createFeature(float) - Method in class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor
-
- createFeature(float) - Method in class org.openimaj.image.feature.local.detector.dog.extractor.GradientFeatureExtractor
-
- createFeature(InterestPointImageExtractorProperties<Float, FImage>, float) - Method in class org.openimaj.image.feature.local.detector.ipd.extractor.InterestPointGradientFeatureExtractor
-
- createFeatureVector() - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
- createFilterBank() - Method in class org.openimaj.audio.filters.MelFilterBank
-
Instantiate the filter bank, if it's not already instantiated.
- createFImage(BufferedImage) - Static method in class org.openimaj.image.ImageUtilities
-
Create an FImage from a buffered image.
- createFromAliasFile(String) - Static method in class org.openimaj.text.nlp.namedentity.YagoEntityCandidateFinderFactory
-
- createFromCollection(InputStreamObjectReader<IMAGE>, FlickrAPIToken, String, String) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr collection with the specified
parameters.
- createFromCollection(InputStreamObjectReader<IMAGE>, FlickrAPIToken, String, String, int) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr collection with the specified
parameters.
- createFromFImage(FImage) - Static method in class org.openimaj.vis.general.HeightMap3D
-
Create a height map from an FImage.
- createFromGallery(InputStreamObjectReader<IMAGE>, FlickrAPIToken, Gallery) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr gallery with the specified
parameters.
- createFromGallery(InputStreamObjectReader<IMAGE>, FlickrAPIToken, Gallery, int) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr gallery with the specified
parameters.
- createFromGallery(InputStreamObjectReader<IMAGE>, FlickrAPIToken, String) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr gallery with the specified
parameters.
- createFromGallery(InputStreamObjectReader<IMAGE>, FlickrAPIToken, String, int) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr gallery with the specified
parameters.
- createFromIndexFile(String) - Static method in class org.openimaj.text.nlp.namedentity.YagoEntityContextScorerFactory
-
Create from a lucene index file.
- createFromPhotoset(InputStreamObjectReader<IMAGE>, FlickrAPIToken, String) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr photoset.
- createFromPhotoset(InputStreamObjectReader<IMAGE>, FlickrAPIToken, String, int) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr photoset.
- createFromSearch(InputStreamObjectReader<IMAGE>, FlickrAPIToken, SearchParameters) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr search with the specified
parameters.
- createFromSearch(InputStreamObjectReader<IMAGE>, FlickrAPIToken, SearchParameters, int) - Static method in class org.openimaj.image.dataset.FlickrImageDataset
-
Create an image dataset from a flickr search with the specified
parameters.
- createGaborJets(int, int, int...) - Static method in class org.openimaj.image.processing.convolution.GaborFilters
-
Create a jet of (multiscale) Gabor filters in the frequency domain.
- createGaussianBlur(float) - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
- createGaussianPyramid(T, float, int) - Static method in class org.openimaj.image.analysis.pyramid.SimplePyramid
-
Convenience method to create a gaussian pyramid from an image.
- createGaussians(int, int) - Method in enum org.openimaj.ml.gmm.GaussianMixtureModelEM.CovarianceType
-
- createIncrementalIndex() - Method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
- createInterestPointMap() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- createInterestPointMap() - Method in class org.openimaj.image.feature.local.interest.HarrisIPD
-
- createInterestPointMap() - Method in class org.openimaj.image.feature.local.interest.HessianIPD
-
- createInterestPointMap() - Method in class org.openimaj.image.feature.local.interest.LaplaceIPD
-
- createInterestPointMap() - Method in class org.openimaj.image.feature.local.interest.QuadratureIPD
-
- createInterestPointMap() - Method in class org.openimaj.image.feature.local.interest.RidgeIPD
-
- createIterable(DATASET) - Method in interface org.openimaj.experiment.validation.cross.CrossValidator
-
Create the iterable from the dataset.
- createIterable(GroupedDataset<KEY, ListDataset<INSTANCE>, INSTANCE>) - Method in class org.openimaj.experiment.validation.cross.GroupedKFold
-
- createIterable(GroupedDataset<KEY, ListDataset<INSTANCE>, INSTANCE>) - Method in class org.openimaj.experiment.validation.cross.GroupedLeaveOneOut
-
- createIterable(ListDataset<INSTANCE>) - Method in class org.openimaj.experiment.validation.cross.KFold
-
- createIterable(ListDataset<INSTANCE>) - Method in class org.openimaj.experiment.validation.cross.LeaveOneOut
-
- createIterable(GroupedDataset<KEY, ListDataset<INSTANCE>, INSTANCE>) - Method in class org.openimaj.experiment.validation.cross.StratifiedGroupedKFold
-
- createJob(String, String, Map<String, String>, Configuration) - Static method in class org.openimaj.hadoop.mapreduce.TextBytesJobUtil
-
- createJob(Collection<String>, String, Map<String, String>, Configuration) - Static method in class org.openimaj.hadoop.mapreduce.TextBytesJobUtil
-
- createJob(Path, Path, Map<String, String>, Configuration) - Static method in class org.openimaj.hadoop.mapreduce.TextBytesJobUtil
-
- createJob(Collection<Path>, Path, Map<String, String>, Configuration) - Static method in class org.openimaj.hadoop.mapreduce.TextBytesJobUtil
-
- createJob(Path[], Path, Map<String, String>, Configuration) - Static method in class org.openimaj.hadoop.mapreduce.TextBytesJobUtil
-
- createKDTreeEnsemble(int) - Static method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Convenience method to quickly create an approximate
ByteKMeans
using an ensemble of KD-Trees to perform nearest-neighbour lookup.
- createKDTreeEnsemble(int) - Static method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Convenience method to quickly create an approximate
DoubleKMeans
using an ensemble of KD-Trees to perform nearest-neighbour lookup.
- createKDTreeEnsemble(int) - Static method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Convenience method to quickly create an approximate
FloatKMeans
using an ensemble of KD-Trees to perform nearest-neighbour lookup.
- createKDTreeEnsemble(int) - Static method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Convenience method to quickly create an approximate
IntKMeans
using an ensemble of KD-Trees to perform nearest-neighbour lookup.
- createKDTreeEnsemble(int) - Static method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Convenience method to quickly create an approximate
LongKMeans
using an ensemble of KD-Trees to perform nearest-neighbour lookup.
- createKDTreeEnsemble(int) - Static method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Convenience method to quickly create an approximate
ShortKMeans
using an ensemble of KD-Trees to perform nearest-neighbour lookup.
- createKernel1D(int) - Static method in class org.openimaj.image.processing.convolution.FTriangleFilter
-
Construct a triangular kernel of the given size.
- createKernelImage(int) - Static method in class org.openimaj.image.processing.convolution.Disk
-
Makes a disk averaging filter with the given radius.
- createKernelImage(int, float) - Static method in class org.openimaj.image.processing.convolution.Gaussian2D
-
Create a kernel image with given kernel size and standard deviation.
- createKernelImage(int, int, float) - Static method in class org.openimaj.image.processing.convolution.Gaussian2D
-
Create a kernel image with given kernel size and standard deviation.
- createKernelImage(int, float) - Static method in class org.openimaj.image.processing.convolution.LaplacianOfGaussian2D
-
Create a kernel image with given kernel size and variance.
- createKernelImage(int, int, float) - Static method in class org.openimaj.image.processing.convolution.LaplacianOfGaussian2D
-
Create a kernel image with given kernel size and variance.
- createLandmarkModel() - Method in class org.openimaj.image.model.landmark.FNormalLandmarkModel.Factory
-
- createLandmarkModel(float) - Method in class org.openimaj.image.model.landmark.FNormalLandmarkModel.Factory
-
- createLandmarkModel() - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel.Factory
-
- createLandmarkModel(float) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel.Factory
-
- createLandmarkModel() - Method in interface org.openimaj.image.model.landmark.LandmarkModelFactory
-
- createLandmarkModel(float) - Method in interface org.openimaj.image.model.landmark.LandmarkModelFactory
-
- createLazyFeatureDataset(ListDataset<OBJECT>, FeatureExtractor<FEATURE, OBJECT>) - Static method in class org.openimaj.feature.DatasetExtractors
-
Create a
ListDataset
of features from the given
ListDataset
of objects by extracting the features from the
objects with the given feature extractor.
- createLazyFeatureDataset(GroupedDataset<KEY, ? extends ListDataset<OBJECT>, OBJECT>, FeatureExtractor<FEATURE, OBJECT>) - Static method in class org.openimaj.feature.DatasetExtractors
-
- createList(GroupedDataset<ANNOTATION, ? extends ListDataset<OBJECT>, OBJECT>) - Static method in class org.openimaj.ml.annotation.AnnotatedObject
-
Convert a grouped dataset to a list of annotated objects.
- createList(OBJECT[], ANNOTATION[]) - Static method in class org.openimaj.ml.annotation.AnnotatedObject
-
Convert parallel arrays of objects and annotations to a list of
AnnotatedObject
.
- createList(OBJECT[], ANNOTATION[][]) - Static method in class org.openimaj.ml.annotation.AnnotatedObject
-
Convert parallel arrays of objects and annotations to a list of
AnnotatedObject
.
- createMBFImage(BufferedImage, boolean) - Static method in class org.openimaj.image.ImageUtilities
-
Create an MBFImage from a buffered image.
- createMBFImage() - Method in class org.openimaj.image.SVGImage
-
- createMesh(FacialKeypoint[]) - Method in class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
- createNamedWindow(String) - Static method in class org.openimaj.image.DisplayUtilities
-
Create a named window with a title that is also the name
- createNamedWindow(String, String) - Static method in class org.openimaj.image.DisplayUtilities
-
Create a named window with a title
- createNamedWindow(String, String, boolean) - Static method in class org.openimaj.image.DisplayUtilities
-
Create a named window that auto resizes
- createNote(String) - Static method in class org.openimaj.audio.util.WesternScaleNote
-
Given a note string, returns a new
WesternScaleNote
from
which other information can be garnered.
- createNote(String, int) - Static method in class org.openimaj.audio.util.WesternScaleNote
-
Given a note name and octave, returns a
WesternScaleNote
from
which other information can be garnered.
- createNote(float) - Static method in class org.openimaj.audio.util.WesternScaleNote
-
- createNote(int) - Static method in class org.openimaj.audio.util.WesternScaleNote
-
Given a note number, returns a
WesternScaleNote
from which other
information can be garnered.
- createOffscreenVideoDisplay(Video<T>) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from a video in a new
window.
- createPixelArray(int) - Method in class org.openimaj.image.MBFImage
-
- createPixelArray(int) - Method in class org.openimaj.image.MultiBandImage
-
Create an array of n pixels
- createRandomPoint() - Static method in class org.openimaj.math.geometry.point.Point2dImpl
-
Create a random point in ([0..1], [0..1]).
- createRandomPoint(Random) - Static method in class org.openimaj.math.geometry.point.Point2dImpl
-
Create a random point in ([0..1], [0..1]) with the given random number
generator.
- createRandomPoint() - Static method in class org.openimaj.math.geometry.point.Point3dImpl
-
Create a random point in ([0..1], [0..1], [0..1]).
- createRecognitionEngine() - Method in interface org.openimaj.tools.faces.recognition.options.RecognitionEngineProvider
-
- createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileInputFormat
-
- createRenderer() - Method in class org.openimaj.image.FImage
-
- createRenderer(RenderHints) - Method in class org.openimaj.image.FImage
-
- createRenderer() - Method in class org.openimaj.image.Image
-
- createRenderer(RenderHints) - Method in class org.openimaj.image.Image
-
- createRenderer() - Method in class org.openimaj.image.MBFImage
-
- createRenderer(RenderHints) - Method in class org.openimaj.image.MBFImage
-
- createRenderer() - Method in class org.openimaj.image.SVGImage
-
- createRenderer(RenderHints) - Method in class org.openimaj.image.SVGImage
-
- createRGB(FImage) - Static method in class org.openimaj.image.MBFImage
-
Convenience method to create an RGB
MBFImage
from an
FImage
by cloning the
FImage
for each of the R, G and B
bands.
- createSampleBuffer(AudioFormat, int) - Static method in class org.openimaj.audio.samples.SampleBufferFactory
-
- createSampleBuffer(SampleChunk, AudioFormat) - Static method in class org.openimaj.audio.samples.SampleBufferFactory
-
- createSketch(OBJECT) - Method in class org.openimaj.lsh.sketch.BitSetLSHSketcher
-
- createSketch(OBJECT) - Method in class org.openimaj.lsh.sketch.ByteLSHSketcher
-
- createSketch(OBJECT) - Method in class org.openimaj.lsh.sketch.IntLSHSketcher
-
- createSketch(OBJECT) - Method in class org.openimaj.lsh.sketch.LongLSHSketcher
-
- createSketch(OBJECT) - Method in class org.openimaj.lsh.sketch.ShortLSHSketcher
-
- createSketch(IN) - Method in interface org.openimaj.util.sketch.Sketcher
-
Create a sketch for the given object.
- createStyle(ImageRenderer<T, ?>) - Method in interface org.openimaj.image.typography.Font
-
Create an instance of a FontStyle with the default parameters for the given
image.
- createStyle(ImageRenderer<T, ?>) - Method in class org.openimaj.image.typography.general.GeneralFont
-
Create an instance of a FontStyle with the default parameters for the given
image.
- createStyle(ImageRenderer<T, ?>) - Method in enum org.openimaj.image.typography.hershey.HersheyFont
-
- createStyle(ImageRenderer<T, ?>) - Method in class org.openimaj.image.typography.mathml.MathMLFont
-
- createTemporaryArray(int) - Method in class org.openimaj.data.AbstractMultiListDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.data.ArrayBackedDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.data.ByteArrayBackedDataSource
-
- createTemporaryArray(int) - Method in interface org.openimaj.data.DataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.data.DoubleArrayBackedDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.data.FloatArrayBackedDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.data.IndexedViewDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.data.IntArrayBackedDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.data.LongArrayBackedDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.data.ShortArrayBackedDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchByteDataSource
-
- createTemporaryArray(int) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchIntDataSource
-
- createVideoDisplay(FImage[]) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from an array of images
- createVideoDisplay(Video<T>) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from a video in a new
window.
- createVideoDisplay(Video<T>, AudioStream) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from a video in a new
window.
- createVideoDisplay(Video<T>, JFrame) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from a video in a new
window.
- createVideoDisplay(Video<T>, AudioStream, JFrame) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from a video in a new
window.
- createVideoDisplay(Video<T>, DisplayUtilities.ImageComponent) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from a video in a new
window.
- createVideoDisplay(Video<T>, JComponent) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from a video in an existing
component.
- createVideoDisplay(Video<T>, AudioStream, JComponent) - Static method in class org.openimaj.video.VideoDisplay
-
Convenience function to create a VideoDisplay from a video in an existing
component.
- createVideoPlayer(Video<T>) - Static method in class org.openimaj.video.VideoPlayer
-
Creates a new video player in a new thread and starts it running
(initially in pause mode).
- createVideoPlayer(Video<T>, AudioStream) - Static method in class org.openimaj.video.VideoPlayer
-
Creates a new video player in a new thread and starts it running
(initially in pause mode).
- createWorkingImage(BufferedImage) - Static method in class org.openimaj.image.ImageUtilities
-
Returns a ARGB BufferedImage, even if the input BufferedImage is not ARGB
format.
- createWorkingSpace() - Method in interface org.openimaj.image.analysis.algorithm.ImageInterpolation.Interpolator
-
Create the working space required for interpolation
- createWrappedExtractor(FeatureExtractor<? extends FeatureVector, T>) - Method in class org.openimaj.ml.kernel.HomogeneousKernelMap
-
- creator_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
A resource that the UserAccount is a creator of.
- crop(MBFImage, boolean) - Method in class org.openimaj.image.pixel.PixelSet
-
Returns an image containing just the connected component cropped from the
original image.
- cropping_lines() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_pad_info
-
- cropping_lines(short) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_pad_info
-
- CropSimulation - Class in org.openimaj.image.neardups.sim
-
- CropSimulation(int) - Constructor for class org.openimaj.image.neardups.sim.CropSimulation
-
- CropSimulation(int, float, float) - Constructor for class org.openimaj.image.neardups.sim.CropSimulation
-
- CROSS - Static variable in class org.openimaj.image.processing.morphology.StructuringElement
-
Standard 3x3 cross structuring element
- CROSS_3x3 - Static variable in class org.openimaj.image.processing.algorithm.FilterSupport
-
Offsets for using a 3x3 cross shaped mask to select pixels for computing
median.
- crossValidation(List<? extends Annotated<OBJECT, ANNOTATION>>, int) - Method in class org.openimaj.ml.annotation.svm.SVMAnnotator
-
Performs cross-validation on the SVM.
- crossValidation(svm_problem, svm_parameter, int) - Static method in class org.openimaj.ml.annotation.svm.SVMAnnotator
-
Performs cross-validation on the SVM.
- CrossValidationBenchmark<PERSON,IMAGE extends Image<?,IMAGE>,FACE extends DetectedFace> - Class in org.openimaj.image.processing.face.recognition.benchmarking
-
An
RunnableExperiment
for performing cross-validation experiments on
face recognisers & classifiers.
- CrossValidationBenchmark(CrossValidator<GroupedDataset<PERSON, ListDataset<FACE>, FACE>>, GroupedDataset<PERSON, ? extends ListDataset<IMAGE>, IMAGE>, FaceDetector<FACE, IMAGE>, FaceRecogniserProvider<FACE, PERSON>) - Constructor for class org.openimaj.image.processing.face.recognition.benchmarking.CrossValidationBenchmark
-
- CrossValidationIterable<DATASET extends Dataset<?>> - Interface in org.openimaj.experiment.validation.cross
-
Interface for cross-validation schemes.
- CrossValidator<DATASET extends Dataset<?>> - Interface in org.openimaj.experiment.validation.cross
-
Interface for cross-validation schemes.
- crossValidator - Variable in class org.openimaj.image.processing.face.recognition.benchmarking.CrossValidationBenchmark
-
- cssSelect() - Method in class org.openimaj.web.scraping.HTMLScrapingSiteSpecificConsumer
-
- cssSelect() - Method in class org.openimaj.web.scraping.images.TwipleConsumer
-
- cssSelect() - Method in class org.openimaj.web.scraping.SimpleHTMLScrapingConsumer
-
- cubicInterp(double, double, double, double, double) - Static method in class org.openimaj.math.util.Interpolation
-
Cubic interpolation of y at x (in 0..1) given y at x=[-1, 0, 1, 2]
- cubicInterp(float, float, float, float, float) - Static method in class org.openimaj.math.util.Interpolation
-
Cubic interpolation of y at x (in 0..1) given y at x=[-1, 0, 1, 2]
- cubicInterp(double, double[]) - Static method in class org.openimaj.math.util.Interpolation
-
Cubic interpolation of y at x (in 0..1) given y at x=[-1, 0, 1, 2]
- cubicInterp(float, float[]) - Static method in class org.openimaj.math.util.Interpolation
-
Cubic interpolation of y at x (in 0..1) given y at x=[-1, 0, 1, 2]
- CumulativeJacardReducer - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.jacard
-
A cumulative jacard reducer designed to work as a single reducer.
- CumulativeJacardReducer() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeJacardReducer
-
- cumulativeSum(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the cumulative sum of values in an array
- cumulativeSum(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the cumulative sum of values in an array
- cumulativeSum(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the cumulative sum of values in an array
- cumulativeSum(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the cumulative sum of values in an array
- cumulativeSum(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the cumulative sum of values in an array
- cumulativeSum(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the cumulative sum of values in an array
- CumulativeTimeWord - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.jacard
-
Count word instances (not occurences) across times.
- CumulativeTimeWord(long, long) - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord
-
- CumulativeTimeWord.IntersectionUnionMap - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.jacard
-
For every word occurrence, emit for its time period, and for every time period from
timePeriod + delta until eldestTime.
- CumulativeTimeWord.IntersectionUnionReduce - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.jacard
-
Recieve every word-time either from the current time period or from past time periods.
- CumulativeTimeWord.JacardReduce - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.jacard
-
- currentAngleTicks - Variable in class org.openimaj.hardware.turntable.Turntable
-
- currentFrame - Variable in class org.openimaj.video.Video
-
The current frame being displayed
- currentMatrix - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- currentScaleIndex - Variable in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveInterestPointFinder
-
The index of the scale currently being processed within the octave.
- currentSlide - Variable in class org.openimaj.content.slideshow.Slideshow
-
- currentSlideComp - Variable in class org.openimaj.content.slideshow.Slideshow
-
- currentSlideIndex - Variable in class org.openimaj.content.slideshow.Slideshow
-
- currentState - Variable in class org.openimaj.video.tracking.klt.FeatureHistory
-
The feature history.
- CurrentUMean - Class in org.openimaj.ml.linear.learner.init
-
- CurrentUMean() - Constructor for class org.openimaj.ml.linear.learner.init.CurrentUMean
-
- CurrentValueMean - Class in org.openimaj.ml.linear.learner.init
-
Given a matrix considered its "current value" this init strategy takes the current value
and averages the columns (creating the mean row).
- CurrentValueMean() - Constructor for class org.openimaj.ml.linear.learner.init.CurrentValueMean
-
- CurrentWMean - Class in org.openimaj.ml.linear.learner.init
-
- CurrentWMean() - Constructor for class org.openimaj.ml.linear.learner.init.CurrentWMean
-
- customData() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
A list of custom key value data pairs.
- cx() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- cx(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- cx - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
The x coordinate of the component centroid
- cx - Variable in class org.openimaj.image.processing.morphology.Dilate
-
- cx - Variable in class org.openimaj.image.processing.morphology.Erode
-
- cx - Variable in class org.openimaj.image.processing.morphology.HitAndMiss
-
- cx - Variable in class org.openimaj.math.geometry.shape.RotatedRectangle
-
The x-ordinate of the centroid
- cy() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- cy(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- cy - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
The y coordinate of the component centroid
- cy - Variable in class org.openimaj.image.processing.morphology.Dilate
-
- cy - Variable in class org.openimaj.image.processing.morphology.Erode
-
- cy - Variable in class org.openimaj.image.processing.morphology.HitAndMiss
-
- cy - Variable in class org.openimaj.math.geometry.shape.RotatedRectangle
-
The y-ordinate of the centroid
- CYAN - Static variable in class org.openimaj.image.colour.RGBColour
-
Cyan colour as RGB
- DaemonThreadFactory() - Constructor for class org.openimaj.util.parallel.GlobalExecutorPool.DaemonThreadFactory
-
- damped - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
- DAMPENING - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
The value of w, u and beta are updated each time data is added s.t.
- DARK_GRAY - Static variable in class org.openimaj.image.colour.RGBColour
-
Dark gray colour as RGB
- data - Variable in class org.openimaj.data.AbstractMultiListDataSource
-
- data - Variable in class org.openimaj.data.ArrayBackedDataSource
-
- data - Variable in class org.openimaj.data.ByteArrayBackedDataSource
-
- data - Variable in class org.openimaj.data.dataset.ListBackedDataset
-
- data - Variable in class org.openimaj.data.DoubleArrayBackedDataSource
-
- data - Variable in class org.openimaj.data.FloatArrayBackedDataSource
-
- data - Variable in class org.openimaj.data.identity.IdentifiableObject
-
The data
- data - Variable in class org.openimaj.data.IntArrayBackedDataSource
-
- data - Variable in class org.openimaj.data.LongArrayBackedDataSource
-
- data - Variable in class org.openimaj.data.ShortArrayBackedDataSource
-
- data - Variable in class org.openimaj.image.analysis.algorithm.SummedAreaTable
-
The SAT data
- data - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- data - Variable in enum org.openimaj.image.typography.hershey.HersheyFont
-
- data - Variable in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- data - Variable in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- data - Variable in class org.openimaj.ml.clustering.dbscan.DoubleDBSCANClusters
-
The data
- data - Variable in class org.openimaj.tools.clusterquantiser.FeatureFileFeature
-
the feature vector
- data - Variable in class org.openimaj.util.tree.ByteKDTree
-
The underlying data array
- data - Variable in class org.openimaj.util.tree.DoubleKDTree
-
The underlying data array
- data - Variable in class org.openimaj.util.tree.FloatKDTree
-
The underlying data array
- data - Variable in class org.openimaj.util.tree.IntKDTree
-
The underlying data array
- data - Variable in class org.openimaj.util.tree.LongKDTree
-
The underlying data array
- data - Variable in class org.openimaj.util.tree.ShortKDTree
-
The underlying data array
- data - Variable in class org.openimaj.vis.Visualisation3D
-
The data!
- data - Variable in class org.openimaj.vis.VisualisationImpl
-
The data to be visualised
- data_bits_per_pixel() - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- data_bits_per_pixel(byte) - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- DATA_ROOT() - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- database - Variable in class org.openimaj.demos.BasicDuplicateImageDatabase
-
- DatabaseFeederStatus(String, XMLGregorianCalendar) - Constructor for class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- DatabaseStatusFeeder - Class in org.openimaj.picslurper
-
This class is a status feeder for picslurper that takes statuses from a database.
- DatabaseStatusFeeder(String, String, String, String) - Constructor for class org.openimaj.picslurper.DatabaseStatusFeeder
-
Create a database status feeder using the database, table,
username and password provided.
- DatabaseStatusFeeder(String, String, String, String, Map<String, String>) - Constructor for class org.openimaj.picslurper.DatabaseStatusFeeder
-
Create a database status feeder using the database, table,
username and password provided with the given column mapping
- DatabaseStatusFeeder.DatabaseFeederStatus - Class in org.openimaj.picslurper
-
- DataClusterer<DATA,CLUSTER extends IndexClusters> - Interface in org.openimaj.ml.clustering
-
Clusterers can extract clusters from data types and return
the data in a clustered form
- dataFromRoot(String) - Static method in class org.openimaj.ml.linear.experiments.sinabill.LambdaSearchAustrian
-
- DataGenerator<I,D> - Interface in org.openimaj.ml.linear.data
-
- dataReceived(String) - Method in interface org.openimaj.hardware.serial.SerialDataListener
-
Called when data is received on a serial port.
- dataReceived(String) - Method in class org.openimaj.hardware.serial.SerialDevice
-
Called when data is received on a serial port.
- Dataset<INSTANCE> - Interface in org.openimaj.data.dataset
-
The super-interface for all types of dataset.
- dataset - Variable in class org.openimaj.image.processing.face.recognition.benchmarking.CrossValidationBenchmark
-
- DatasetAdaptors - Class in org.openimaj.experiment.dataset.util
-
Helper methods to provide different types of view on a dataset.
- DatasetAdaptors() - Constructor for class org.openimaj.experiment.dataset.util.DatasetAdaptors
-
- DatasetDescription - Annotation Type in org.openimaj.experiment.annotations
-
An annotation for marking up a specific org.openimaj.data.Dataset subclass
with metadata about the dataset.
- DatasetExtractors - Class in org.openimaj.feature
-
Static methods to generate datasets of features from datasets of objects
using a feature extractor.
- DatasetFaceDetector - Class in org.openimaj.image.processing.face.detection
-
Convenience methods for dealing with face detections in datasets and lists of
images.
- DataSource<DATATYPE> - Interface in org.openimaj.data
-
A source which returns data of type DATATYPE.
- DataUnitsTransformer<Q,D,U> - Interface in org.openimaj.vis
-
An interface for classes that can transform data units into renderer units
based on the definition of the data axis in space.
- DataUtils - Class in org.openimaj.data
-
Utility functions for dealing with data
- date - Variable in class org.openimaj.twitter.USMFStatus
-
Date posted
- DateFilter - Class in org.openimaj.tools.twitter.modes.filter
-
The grep functionality.
- DateFilter() - Constructor for class org.openimaj.tools.twitter.modes.filter.DateFilter
-
- DateTwitterPreprocessingMapper - Class in org.openimaj.hadoop.tools.twitter
-
- DateTwitterPreprocessingMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.DateTwitterPreprocessingMapper
-
- DaySplitReducer - Class in org.openimaj.hadoop.tools.twitter
-
- DaySplitReducer() - Constructor for class org.openimaj.hadoop.tools.twitter.DaySplitReducer
-
- dbg(String) - Method in class org.openimaj.web.readability.Readability
-
- DBSCAN - Class in org.openimaj.ml.clustering.dbscan
-
Implementation of DBSCAN (http://en.wikipedia.org/wiki/DBSCAN) using
a
- DBSCAN() - Constructor for class org.openimaj.ml.clustering.dbscan.DBSCAN
-
- DBSCAN.State - Class in org.openimaj.ml.clustering.dbscan
-
- DBSCANClusters - Class in org.openimaj.ml.clustering.dbscan
-
- DBSCANClusters(int[], int[][]) - Constructor for class org.openimaj.ml.clustering.dbscan.DBSCANClusters
-
- DBSCANClusters(int[], int[][], int) - Constructor for class org.openimaj.ml.clustering.dbscan.DBSCANClusters
-
- dc - Variable in class org.openimaj.math.model.fit.RANSAC
-
- dcmos_emitter_dist() - Method in class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- dcmos_emitter_dist(float) - Method in class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- dcmos_rcmos_dist() - Method in class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- dcmos_rcmos_dist(float) - Method in class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- deactivate() - Method in class org.openimaj.picslurper.LocalTweetSpout
-
- DEBUG - Static variable in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Whether to debug the text extractor - displaying images as it goes
- debug(Logger, String, boolean) - Static method in class org.openimaj.logger.LoggerUtils
-
Debug message occationally
- debug - Variable in class org.openimaj.web.readability.Readability
-
- debugAllTriples(URI, RepositoryConnection) - Static method in class org.openimaj.rdf.owl2java.Generator
-
Useful little debug method that will print out all the triples for a
given URI from the given repository.
- debugFormat(Logger, String, Object...) - Static method in class org.openimaj.logger.LoggerUtils
-
- decision - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- decision - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- DecisionAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Counting the number of true positives, true negatives, flase postitives and false negatives
one can produce various cluster quality metrics including the fscore and randindex
- DecisionAnalysis() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
- DecisionClusterAnalyser<T extends AnalysisResult> - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Gather the true positives, true negatives, false positives, false negatives for a
DecisionAnalysis
instance
- DecisionClusterAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.DecisionClusterAnalyser
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class backtype.storm.spout.KestrelThriftSpout
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class backtype.storm.spout.TestTopology.FailEveryOther
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class backtype.storm.spout.UnreliableKestrelThriftSpout
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class org.openimaj.picslurper.DownloadBolt
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class org.openimaj.picslurper.LocalTweetSpout
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class org.openimaj.picslurper.PrintBolt
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class org.openimaj.storm.bolt.CountingEmittingBolt
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class org.openimaj.storm.bolt.PrintingBolt
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class org.openimaj.storm.StormPlayground.JoinBolt
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class org.openimaj.storm.StormPlayground.RandomFieldSpout
-
- declareOutputFields(OutputFieldsDeclarer) - Method in class org.openimaj.storm.tools.twitter.bolts.BaseTwitterRichBolt
-
- decode(String) - Static method in class org.openimaj.web.flickr.FlickrBaseEncoder
-
- decodeArgs(String[]) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
A horrible hack to deal with hadoop's horrible hack when setting arrays of strings as configs
- decompose() - Method in class ch.akuhn.matrix.eigenvalues.SingularValues
-
Perform the decomposition
- decompress(byte[]) - Method in class org.openimaj.knn.pq.ByteProductQuantiser
-
Decompress the quantised data by replacing each encoded index with the actual centroid subvector.
- decompress(byte[]) - Method in class org.openimaj.knn.pq.DoubleProductQuantiser
-
Decompress the quantised data by replacing each encoded index with the actual centroid subvector.
- decompress(byte[]) - Method in class org.openimaj.knn.pq.FloatProductQuantiser
-
Decompress the quantised data by replacing each encoded index with the actual centroid subvector.
- decompress(byte[]) - Method in class org.openimaj.knn.pq.IntProductQuantiser
-
Decompress the quantised data by replacing each encoded index with the actual centroid subvector.
- decompress(byte[]) - Method in class org.openimaj.knn.pq.LongProductQuantiser
-
Decompress the quantised data by replacing each encoded index with the actual centroid subvector.
- decompress(byte[]) - Method in class org.openimaj.knn.pq.ShortProductQuantiser
-
Decompress the quantised data by replacing each encoded index with the actual centroid subvector.
- deepCopy() - Method in class net.lag.kestrel.thrift.Item
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- deepCopy() - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- deepCopy() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- deepestPoint - Variable in class org.openimaj.math.geometry.shape.algorithm.ConvexityDefect
-
The deepest point on the shape polygon
- DEFAULT_ALIAS_NAME - Static variable in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Default file name for the alias text file.
- DEFAULT_BIG_STEP - Static variable in class org.openimaj.image.objectdetection.haar.Detector
-
Default step size to make when there is definitely no detection.
- DEFAULT_BLOCK_SIZE - Static variable in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
The default number of samples per parallel assignment instance.
- DEFAULT_BOUNDARY_EXTENSION - Static variable in class org.openimaj.image.feature.global.Gist
-
The default amount of padding to apply before convolving with the Gabor
filters
- DEFAULT_CAPACITY - Static variable in class org.openimaj.util.array.SparseByteArray
-
- DEFAULT_CAPACITY - Static variable in class org.openimaj.util.array.SparseDoubleArray
-
- DEFAULT_CAPACITY - Static variable in class org.openimaj.util.array.SparseFloatArray
-
- DEFAULT_CAPACITY - Static variable in class org.openimaj.util.array.SparseIntArray
-
- DEFAULT_CAPACITY - Static variable in class org.openimaj.util.array.SparseLongArray
-
- DEFAULT_CAPACITY - Static variable in class org.openimaj.util.array.SparseShortArray
-
- DEFAULT_COMPONENTS - Static variable in class org.openimaj.experiment.gmm.retrieval.GMMFromFeatures
-
default number of guassians to train agains
- DEFAULT_CONTEXT_NAME - Static variable in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Default directory name for the lucene index.
- DEFAULT_COVARIANCE - Static variable in class org.openimaj.experiment.gmm.retrieval.GMMFromFeatures
-
default covariance type
- DEFAULT_DEVICE_NUMBER_PROPERTY - Static variable in class org.openimaj.video.capture.VideoCapture
-
The property key for overriding the default device number.
- DEFAULT_EIGENVALUE_RATIO - Static variable in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
The default threshold for the edge response Eigenvalue ratio
- DEFAULT_EPS - Static variable in class org.openimaj.image.objectdetection.filtering.OpenCVGrouping
-
The default eps value for determining whether two rectangles overlap
enough to be considered as being of the same group.
- DEFAULT_FILTER - Static variable in class org.openimaj.image.processing.resize.FixedResizeProcessor
-
- DEFAULT_FILTER - Static variable in class org.openimaj.image.processing.resize.ResizeProcessor
-
- DEFAULT_GAUSS_TRUNCATE - Static variable in class org.openimaj.image.FImage
-
The default number of sigmas at which the Gaussian function is truncated
when building a kernel
- DEFAULT_GAUSS_TRUNCATE - Static variable in class org.openimaj.image.processing.convolution.FGaussianConvolve
-
The default number of sigmas at which the Gaussian function is truncated
when building a kernel
- DEFAULT_GAUSS_TRUNCATE - Static variable in class org.openimaj.ml.timeseries.processor.GaussianTimeSeriesProcessor
-
The default number of sigmas at which the Gaussian function is truncated
when building a kernel
- DEFAULT_INTERPOLATION_ITERATIONS - Static variable in class org.openimaj.image.feature.local.detector.pyramid.InterpolatingOctaveExtremaFinder
-
Default number of interpolation iterations
- DEFAULT_KESTREL_MEMCACHED_PORT - Static variable in class org.openimaj.kestrel.KestrelServerSpec
-
the default kestrel memcached port
- DEFAULT_KESTREL_TEXT_PORT - Static variable in class org.openimaj.kestrel.KestrelServerSpec
-
the default kestrel text protocol port
- DEFAULT_KESTREL_THRIFT_PORT - Static variable in class org.openimaj.kestrel.KestrelServerSpec
-
the default kestrel thrift port
- DEFAULT_MAGNITUDE_THRESHOLD - Static variable in class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
The default threshold for the magnitude of interest points
- DEFAULT_MINIMUM_SUPPORT - Static variable in class org.openimaj.image.objectdetection.filtering.OpenCVGrouping
-
The default value for the minimum number of rectangles required within a
group.
- DEFAULT_N_BUCKETS_PER_DIM - Static variable in class org.openimaj.math.geometry.transforms.estimation.sampling.BucketingSampler2d
-
Default number of buckets per dimension
- DEFAULT_NCHECKS - Static variable in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
The default number of checks performed during search when in exact mode.
- DEFAULT_NCHECKS - Static variable in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
The default number of checks performed during search when in exact mode.
- DEFAULT_NCHECKS - Static variable in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
The default number of checks performed during search when in exact mode.
- DEFAULT_NCHECKS - Static variable in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
The default number of checks performed during search when in exact mode.
- DEFAULT_NCHECKS - Static variable in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
The default number of checks performed during search when in exact mode.
- DEFAULT_NCHECKS - Static variable in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
The default number of checks performed during search when in exact mode.
- DEFAULT_NTREES - Static variable in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
The default number of kdtrees when not in exact mode.
- DEFAULT_NTREES - Static variable in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
The default number of kdtrees when not in exact mode.
- DEFAULT_NTREES - Static variable in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
The default number of kdtrees when not in exact mode.
- DEFAULT_NTREES - Static variable in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
The default number of kdtrees when not in exact mode.
- DEFAULT_NTREES - Static variable in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
The default number of kdtrees when not in exact mode.
- DEFAULT_NTREES - Static variable in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
The default number of kdtrees when not in exact mode.
- DEFAULT_NUM_BINS - Static variable in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor
-
Default number of orientation histogram bins;
Lowe's IJCV paper (p.13) suggests 36 bins.
- DEFAULT_NUMBER_ITERATIONS - Static variable in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
The default number of iterations.
- DEFAULT_NUMBER_OF_BLOCKS - Static variable in class org.openimaj.image.feature.global.Gist
-
The default number spatial blocks
- DEFAULT_ORIENTATIONS_PER_SCALE - Static variable in class org.openimaj.image.feature.global.Gist
-
The default number of filter orientations per scale (from HF to LF)
- DEFAULT_PEAK_THRESHOLD - Static variable in class org.openimaj.image.feature.local.detector.dog.extractor.DominantOrientationExtractor
-
Default value for the threshold at which other peaks are detected
relative to the biggest peak.
- DEFAULT_PREFILTER_FC - Static variable in class org.openimaj.image.feature.global.Gist
-
The default number of cycles per image for the pre-filter Gaussian
- DEFAULT_SAMPLING_SIZE - Static variable in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor
-
Default value for the size of the sampling window relative
to the sampling scale.
- DEFAULT_SCALE_FACTOR - Static variable in class org.openimaj.image.objectdetection.haar.Detector
-
Default scale factor multiplier.
- DEFAULT_SCALING - Static variable in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor
-
Default value for weighting the scaling Gaussian
relative to the keypoint scale.
- DEFAULT_SIZE - Static variable in class org.openimaj.image.feature.global.Gist
-
Default image size (both height and width) for fixed size Gist
- DEFAULT_SMALL_STEP - Static variable in class org.openimaj.image.objectdetection.haar.Detector
-
Default step size to make when there is a hint of detection.
- DEFAULT_SMOOTHING_ITERATIONS - Static variable in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor
-
Default value for the number of iterations of the smoothing
filter.
- DEFAULT_USERAGENT - Static variable in class org.openimaj.io.HttpUtils
-
The default user-agent string
- defaultBackgroundColour() - Method in class org.openimaj.image.Image
-
Get the default foreground colour.
- defaultBackgroundColour() - Method in class org.openimaj.image.renderer.FImageRenderer
-
- defaultBackgroundColour() - Method in class org.openimaj.image.renderer.ImageRenderer
-
Get the default foreground colour.
- defaultBackgroundColour() - Method in class org.openimaj.image.renderer.MBFImageRenderer
-
- defaultBackgroundColour() - Method in class org.openimaj.image.renderer.SVGRenderer
-
- DefaultBrowserDelegate - Class in org.openimaj.web
-
A
BrowserDelegate
that does nothing other
than log any javascript calls, etc.
- DefaultBrowserDelegate() - Constructor for class org.openimaj.web.DefaultBrowserDelegate
-
- DefaultClustererFunction(SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE>) - Constructor for class org.openimaj.ml.clustering.spectral.SpectralClusteringConf.DefaultClustererFunction
-
- defaultConfig(String) - Method in interface org.openimaj.tools.imagecollection.collection.ImageCollection
-
If possible, will return a default configuration using the raw input
- defaultConfig(String) - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection.FromFile
-
- defaultConfig(String) - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection.FromURL
-
- defaultConfig(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection.Generic
-
- defaultConfig(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection
-
- defaultConfig(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.FlickrPhotoCollection
-
- defaultForegroundColour() - Method in class org.openimaj.image.Image
-
Get the default foreground colour.
- defaultForegroundColour() - Method in class org.openimaj.image.renderer.FImageRenderer
-
- defaultForegroundColour() - Method in class org.openimaj.image.renderer.ImageRenderer
-
Get the default foreground colour.
- defaultForegroundColour() - Method in class org.openimaj.image.renderer.MBFImageRenderer
-
- defaultForegroundColour() - Method in class org.openimaj.image.renderer.SVGRenderer
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.ByteCentroidsResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.dbscan.DoubleDBSCANClusters
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.DoubleCentroidsResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.FloatCentroidsResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.IntCentroidsResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kdtree.KDTreeClusters
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans.Result
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans.Result
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans.Result
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans.Result
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans.Result
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans.Result
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans.Result
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.LongCentroidsResult
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- defaultHardAssigner() - Method in class org.openimaj.ml.clustering.ShortCentroidsResult
-
- defaultHardAssigner() - Method in interface org.openimaj.ml.clustering.SpatialClusters
-
Get the default hard assigner for this clusterer.
- DefaultNamingStrategy() - Constructor for class org.openimaj.storm.util.graph.StormGraphCreator.NamingStrategy.DefaultNamingStrategy
-
- DefaultRawTextAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
-
- DefaultRawTextAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.DefaultRawTextAnnotator
-
- DefaultTokenAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
-
- DefaultTokenAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.DefaultTokenAnnotator
-
- DefaultTokenFactory - Class in org.openimaj.util.api.auth
-
Default implementation of a
TokenFactory
that loads the token
parameters from the default Java user preference store or interactively
queries the user for the required token parameters if the token has not been
used before.
- DefaultValidationData<DATASET extends Dataset<?>> - Class in org.openimaj.experiment.validation
-
Data for performing validation.
- DefaultValidationData() - Constructor for class org.openimaj.experiment.validation.DefaultValidationData
-
- DefaultValidationData(DATASET, DATASET) - Constructor for class org.openimaj.experiment.validation.DefaultValidationData
-
Construct with the training and validation datasets.
- DelaunayTriangulator - Class in org.openimaj.math.geometry.triangulation
-
The Delaunay Triangulation algorithm.
- DelaunayTriangulator() - Constructor for class org.openimaj.math.geometry.triangulation.DelaunayTriangulator
-
- delete(String) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Calls Client.delete(String)
on the underlying Client
instance.
- delete(Class<T>) - Static method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Convenience method equivalent to
getInstance().deleteToken(tokenClass)
- delete(Class<T>, String) - Static method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Convenience method equivalent to
getInstance().deleteToken(tokenClass, name)
- delete_queue(String) - Method in class backtype.storm.spout.KestrelThriftClient
-
- delete_queue(String, AsyncMethodCallback<Kestrel.AsyncClient.delete_queue_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- delete_queue(String, AsyncMethodCallback<Kestrel.AsyncClient.delete_queue_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- delete_queue(String) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- delete_queue(String) - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- delete_queue_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- delete_queue_args(String) - Constructor for class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- delete_queue_args(Kestrel.delete_queue_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
Performs a deep copy on other.
- delete_queue_call(String, AsyncMethodCallback<Kestrel.AsyncClient.delete_queue_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.delete_queue_call
-
- delete_queue_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- delete_queue_result(Kestrel.delete_queue_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
Performs a deep copy on other.
- deleteBand(int) - Method in class org.openimaj.image.MultiBandImage
-
Delete the band at the given index.
- deleteQueues(KestrelServerSpec, String...) - Static method in class org.openimaj.storm.utils.KestrelUtils
-
- deleteRecursive(File) - Static method in class org.openimaj.io.FileUtils
-
Recursively delete a directory
- deleteToken(Class<T>) - Method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Delete the default token parameters for the given class from the store.
- deleteToken(Class<T>, String) - Method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Delete the named token parameters for the given class from the store.
- delim - Variable in class org.openimaj.tools.twitter.modes.output.AnalysisOutputMode
-
- delimit(String) - Method in class org.openimaj.tools.twitter.modes.output.AnalysisOutputMode
-
- delimit(String) - Method in class org.openimaj.tools.twitter.modes.output.TwitterOutputMode
-
how outputs should be seperated
- delta - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeans.IterationResult
-
The change in fitness from the previous iteration
- Demo - Annotation Type in org.openimaj.demos
-
An annotation for types that are implementing an OpenIMAJ demo.
- demoClass - Variable in class org.openimaj.demos.Demos.DemoObject
-
- DemoObject(Class<?>) - Constructor for class org.openimaj.demos.Demos.DemoObject
-
- DemoPackage - Annotation Type in org.openimaj.demos
-
An annotation for annotating packages that contain demos.
- DemoRunnerPanel() - Constructor for class org.openimaj.demos.Demos.DemoRunnerPanel
-
Default constructor that sets up the display
- Demos - Class in org.openimaj.demos
-
This class provides a means for listing and running demos that have been
automatically scanned from the classpath.
- Demos() - Constructor for class org.openimaj.demos.Demos
-
Default constructor
- Demos.DemoObject - Class in org.openimaj.demos
-
Used for each demo in the list.
- Demos.DemoRunnerPanel - Class in org.openimaj.demos
-
This is the display for the demo runner.
- Demos.IconListRenderer - Class in org.openimaj.demos
-
A list renderer that adds an icon to the label.
- denormalise(double[]) - Method in interface org.openimaj.math.statistics.normalisation.Denormaliser
-
Deormalise the vector.
- denormalise(double[][]) - Method in interface org.openimaj.math.statistics.normalisation.Denormaliser
-
Denormalise the data.
- denormalise(double[]) - Method in class org.openimaj.math.statistics.normalisation.ZScore
-
- denormalise(double[][]) - Method in class org.openimaj.math.statistics.normalisation.ZScore
-
- denormaliseFundamental(Pair<Matrix>) - Method in class org.openimaj.math.geometry.transforms.FundamentalModel
-
De-normalise a fundamental estimate.
- denormaliseHomography(Pair<Matrix>) - Method in class org.openimaj.math.geometry.transforms.HomographyModel
-
De-normalise a homography estimate.
- Denormaliser - Interface in org.openimaj.math.statistics.normalisation
-
Interface for objects that con both normalise and denormalise data.
- dense(int, int) - Static method in class ch.akuhn.matrix.Matrix
-
Create a zeroed dense matrix
- dense(int) - Static method in class ch.akuhn.matrix.Vector
-
Create an empty dense vector
- DenseLinearTransformAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation.linear
-
An annotator that determines a "transform" between feature vectors and
vectors of annotation counts.
- DenseLinearTransformAnnotator(int, FeatureExtractor<? extends FeatureVector, OBJECT>) - Constructor for class org.openimaj.ml.annotation.linear.DenseLinearTransformAnnotator
-
Construct with the given number of dimensions and feature extractor.
- DenseMatrix - Class in ch.akuhn.matrix
-
A Dense matrix.
- DenseMatrix(double[][]) - Constructor for class ch.akuhn.matrix.DenseMatrix
-
Construct with the given values
- DenseMatrix(int, int) - Constructor for class ch.akuhn.matrix.DenseMatrix
-
Construct with the given size
- DenseSIFT - Class in org.openimaj.image.feature.dense.gradient.dsift
-
Implementation of a dense SIFT feature extractor for
FImage
s.
- DenseSIFT() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Construct with the default configuration: standard SIFT geometry (4x4x8),
5px x 5px spatial bins, 5px step size, gaussian window size of 2 and
value threshold of 0.2.
- DenseSIFT(int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Construct with the given step size (for both x and y) and binSize.
- DenseSIFT(int, int, int, int, int, int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Construct with the given configuration.
- DenseSIFT(int, int, int, int, int, int, int, float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Construct with the given configuration.
- DenseSIFT(int, int, int, int, int, int, int, float, float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Construct with the given configuration.
- DensestSubgraph - Class in org.openimaj.tools.similaritymatrix.modes
-
- DensestSubgraph() - Constructor for class org.openimaj.tools.similaritymatrix.modes.DensestSubgraph
-
- DenseVector - Class in ch.akuhn.matrix
-
A dense vector
- DenseVector(double[]) - Constructor for class ch.akuhn.matrix.DenseVector
-
- DenseVector(int) - Constructor for class ch.akuhn.matrix.DenseVector
-
- density() - Method in class ch.akuhn.matrix.Matrix
-
Get the density
- density() - Method in class ch.akuhn.matrix.Vector
-
- density() - Method in class org.openimaj.util.array.SparseByteArray
-
- density() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- density() - Method in class org.openimaj.util.array.SparseFloatArray
-
- density() - Method in class org.openimaj.util.array.SparseIntArray
-
- density() - Method in class org.openimaj.util.array.SparseLongArray
-
- density() - Method in class org.openimaj.util.array.SparseShortArray
-
- DependentVariable - Annotation Type in org.openimaj.experiment.annotations
-
- depth - Variable in class org.openimaj.math.geometry.shape.algorithm.ConvexityDefect
-
The depth of the deepest point
- depth_to_rgb_shift() - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- depth_to_rgb_shift(Pointer<Integer>) - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- DepthOfFieldEstimator - Class in org.openimaj.image.saliency
-
Construct a map that shows the "focus" of each pixel.
- DepthOfFieldEstimator(int, int, int, int) - Constructor for class org.openimaj.image.saliency.DepthOfFieldEstimator
-
Construct with the given parameters.
- DepthOfFieldEstimator() - Constructor for class org.openimaj.image.saliency.DepthOfFieldEstimator
-
Construct with the default values (max kernel size = 50, step size = 1,
41 bins, window size of 3).
- depthStream - Variable in class org.openimaj.hardware.kinect.KinectController
-
The depth stream
- derivative(SparseAutoencoder.Model, double[]) - Method in class org.openimaj.workinprogress.featlearn.SparseAutoencoder
-
- derivative(MODEL, DATATYPE) - Method in interface org.openimaj.workinprogress.optimisation.DifferentiableObjectiveFunction
-
- DESCENDING_COMPARATOR - Static variable in class org.openimaj.math.graph.SimpleWeightedEdge
-
- describeTo(Description) - Method in class org.openimaj.hadoop.tools.twitter.NotEmptyCollection
-
- DESCRIPTION - Variable in enum org.openimaj.text.nlp.textpipe.annotations.PhraseAnnotation.Phrase
-
Penn Tree Bank short description
- DESCRIPTION - Variable in enum org.openimaj.text.nlp.textpipe.annotations.POSAnnotation.PartOfSpeech
-
Penn Tree Bank short description
- description() - Method in enum org.openimaj.tools.faces.PredefinedStrategy
-
- description - Variable in class org.openimaj.twitter.USMFStatus
-
Full post text / Decription
- description - Variable in class org.openimaj.twitter.USMFStatus.User
-
User profile description
- description - Variable in class orgrdfs.sioc.ns.PostImpl
-
The content of the Post.
- descriptor - Variable in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
-
The descriptor vector, measusring distance from centroid per degree
- descriptor - Variable in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
The descriptor
- DESCRIPTOR_LENGTH - Static variable in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
-
The number of samples
- descriptors - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Extracted descriptors
- deserialize(byte[]) - Method in class backtype.storm.scheme.StringScheme
-
- deserialize(byte[], Class<T>) - Static method in class org.openimaj.io.IOUtils
-
Convenience function for deserializing an object from a byte array.
- deserialize(byte[], long, Class<T>) - Static method in class org.openimaj.io.IOUtils
-
Convenience function for deserializing an object from a byte array.
- deserialize(byte[], T) - Static method in class org.openimaj.io.IOUtils
-
Convenience function for deserializing an object from a byte array.
- deserialize(byte[]) - Method in class org.openimaj.storm.scheme.StringScheme
-
- detect(FImage) - Method in class com.jsaragih.FDet
-
Detect faces in an image
- detect() - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
Detect MSERs in the merge tree provided in the constructor.
- detect(IMAGE) - Method in class org.openimaj.image.objectdetection.FilteringObjectDetector
-
- detect(FImage) - Method in class org.openimaj.image.objectdetection.haar.Detector
-
- detect(FImage) - Method in class org.openimaj.image.objectdetection.hog.HOGDetector
-
- detect(IMAGE) - Method in interface org.openimaj.image.objectdetection.ObjectDetector
-
Detect objects in the given image and return representations of them.
- detect(IMAGE) - Method in class org.openimaj.image.objectdetection.RotationSimulationObjectDetector
-
- detect(FImage, SWTTextDetector) - Method in enum org.openimaj.image.text.extraction.swt.SWTTextDetector.Direction
-
- detect(double[]) - Method in interface org.openimaj.ml.clustering.kdtree.SplitDetectionMode
-
- detect(double[]) - Method in class org.openimaj.ml.clustering.kdtree.SplitDetectionMode.MEAN
-
- detect(double[]) - Method in class org.openimaj.ml.clustering.kdtree.SplitDetectionMode.MEDIAN
-
- detect(double[]) - Method in class org.openimaj.ml.clustering.kdtree.SplitDetectionMode.OPTIMISED
-
- detect(double[]) - Method in class org.openimaj.ml.clustering.kdtree.SplitDetectionMode.VARIABLE_MEDIAN
-
- detectAtScale(SummedSqTiltAreaTable, int, int, int, int, float, int, int, List<Rectangle>) - Method in class org.openimaj.image.objectdetection.haar.Detector
-
Perform detection at a single scale.
- detectAtScale(SummedSqTiltAreaTable, int, int, int, int, float, int, int, List<Rectangle>) - Method in class org.openimaj.image.objectdetection.haar.MultiThreadedDetector
-
- detectAtScale(int, int, int, int, float, int, int, List<Rectangle>) - Method in class org.openimaj.image.objectdetection.hog.HOGDetector
-
Perform detection at a single scale.
- detected - Variable in class org.openimaj.image.objectdetection.TransformedDetection
-
The object that was detected
- DetectedFace - Class in org.openimaj.image.processing.face.detection
-
A DetectedFace models a face detected by a face detector, together with the
locations of certain facial features localised on the face.
- DetectedFace() - Constructor for class org.openimaj.image.processing.face.detection.DetectedFace
-
Default constructor with an empty rectangle as bounds
- DetectedFace(Rectangle, FImage, float) - Constructor for class org.openimaj.image.processing.face.detection.DetectedFace
-
Construct with a bounds rectangle (the bounding box of the face in the
detection image) and an image patch that describes the contents of the
bounds rectangle from the original image.
- DetectedFacePart() - Constructor for class org.openimaj.image.processing.face.feature.FacePatchFeature.DetectedFacePart
-
Default constructor
- DetectedFacePart(FacialKeypoint.FacialKeypointType, Point2d) - Constructor for class org.openimaj.image.processing.face.feature.FacePatchFeature.DetectedFacePart
-
Construct with the given parameters
- DetectedFaceRenderer<DETECTED_FACE extends DetectedFace> - Interface in org.openimaj.image.processing.face.util
-
Given a detected face, draw it to some MBFImage in a sensible way.
- detectFaces(FImage) - Method in class org.openimaj.image.processing.face.detection.CLMFaceDetector
-
- detectFaces(FImage, List<Rectangle>) - Method in class org.openimaj.image.processing.face.detection.CLMFaceDetector
-
Detect faces in the image using the given rectangles as the seeds from
which to start fitting the model.
- detectFaces(I) - Method in interface org.openimaj.image.processing.face.detection.FaceDetector
-
Detect faces in the image and return a list of faces found.
- detectFaces(FImage) - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- detectFaces(IMAGE) - Method in class org.openimaj.image.processing.face.detection.IdentityFaceDetector
-
- detectFaces(FImage) - Method in class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
- detectFaces(MBFImage) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- detectFaces(List<File>, int) - Method in class org.openimaj.tools.faces.FaceDetectorTool
-
Takes a set of image files and returns a map that maps the
image filename to the list of detected images.
- detectFaces(List<File>, int, boolean) - Method in class org.openimaj.tools.faces.FaceDetectorTool
-
Takes a set of image files and returns a map that maps the
image filename to the list of detected images.
- detectFaces(FImage, int, boolean) - Method in class org.openimaj.tools.faces.FaceDetectorTool
-
Takes a single image and detects faces, returning a map that maps
a number (the face number) to the rectangle of the detected face.
- detectFeatures(I) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
Detect and describe the local features in the given (transformed) image.
- detectFeatures(I, int) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
Detect features in the given image, computing the simulations based on
the given number of tilts.
- detectFeatures(I, AffineParams) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
Detect features from a single simulation.
- detectFeatures(I, float, float) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
Detect features from a single simulation.
- detectFeatures(I) - Method in class org.openimaj.image.feature.local.affine.ASIFT
-
- detectInactive(IndexClusters, IndexClusters, TIntSet, List<int[]>) - Method in class org.openimaj.ml.clustering.incremental.IncrementalLifetimeSparseClusterer
-
- detectInactive(IndexClusters, IndexClusters, TIntSet, List<int[]>) - Method in class org.openimaj.ml.clustering.incremental.IncrementalSparseClusterer
-
Given the old and new clusters, make a decision as to which rows are now inactive,
and therefore which clusters are now completed
- DetectionFilter<IN,OUT> - Interface in org.openimaj.image.objectdetection.filtering
-
Interface describing an algorithm capable of filtering detections from a
ObjectDetector
.
- detectionScale - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- detectMaxima(FImage, Rectangle) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- detector - Variable in class org.openimaj.image.feature.local.detector.ipd.finder.OctaveInterestPointFinder
-
- Detector - Class in org.openimaj.image.objectdetection.haar
-
Basic, single-threaded multi-scale Haar cascade/tree object detector.
- Detector(StageTreeClassifier, float, int, int) - Constructor for class org.openimaj.image.objectdetection.haar.Detector
-
Construct the
Detector
with the given parameters.
- Detector(StageTreeClassifier, float) - Constructor for class org.openimaj.image.objectdetection.haar.Detector
-
Construct the
Detector
with the given tree of stages and scale
factor.
- Detector(StageTreeClassifier) - Constructor for class org.openimaj.image.objectdetection.haar.Detector
-
Construct the
Detector
with the given tree of stages, and the
default parameters for step sizes and scale factor.
- detector - Variable in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- detector - Variable in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- detector() - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
- determineEta0(int, int, SparseFloatArray[], double[]) - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- determineEta0(int, int, List<SparseFloatArray>, TDoubleArrayList) - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- detIntScaleFactor - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- device - Variable in class org.openimaj.hardware.kinect.KinectController
-
- Device - Class in org.openimaj.video.capture
-
- Device() - Constructor for class org.openimaj.video.capture.Device
-
- Device(Pointer) - Constructor for class org.openimaj.video.capture.Device
-
- deviceIdentifier - Variable in class org.openimaj.hardware.gps.NMEAMessage
-
- DeviceList - Class in org.openimaj.video.capture
-
- DeviceList() - Constructor for class org.openimaj.video.capture.DeviceList
-
- DeviceList(Pointer) - Constructor for class org.openimaj.video.capture.DeviceList
-
- deviceName - Variable in class org.openimaj.audio.AudioDevice
-
The name of the device
- devices() - Method in class org.openimaj.video.capture.DeviceList
-
- devices(Pointer<Pointer<Device>>) - Method in class org.openimaj.video.capture.DeviceList
-
- dfidf() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
DF-IDF as defined by "Event Detection in Twitter by J.
- DFIDFTokenMode - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
Perform DFIDF and output such that each timeslot is a instance and each word
a feature
- DFIDFTokenMode() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.DFIDFTokenMode
-
- DFURLPatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.URLPatternProvider.DFURLPatternProvider
-
- diag(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Extract the diagonal elements as a vector
- diag(double[]) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Create a diagonal matrix
- diag(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Extract the diagonal component from the given matrix
- DiagonalMatrix - Class in org.openimaj.math.matrix
-
- DiagonalMatrix(int) - Constructor for class org.openimaj.math.matrix.DiagonalMatrix
-
New empty matrix with 0s down the diagonals
- DiagonalMatrix(int, double) - Constructor for class org.openimaj.math.matrix.DiagonalMatrix
-
New empty matrix with val down the diagonals
- DiagonalMatrix(double[][]) - Constructor for class org.openimaj.math.matrix.DiagonalMatrix
-
Diagonal version of the matrix handed
- DiagonalMatrix(Matrix) - Constructor for class org.openimaj.math.matrix.DiagonalMatrix
-
- DiagonalMultivariateGaussian - Class in org.openimaj.math.statistics.distribution
-
- DiagonalMultivariateGaussian(Matrix, double[]) - Constructor for class org.openimaj.math.statistics.distribution.DiagonalMultivariateGaussian
-
Construct the Gaussian with the provided center and covariance
- DiagonalMultivariateGaussian(int) - Constructor for class org.openimaj.math.statistics.distribution.DiagonalMultivariateGaussian
-
Construct the Gaussian with the zero mean and unit variance
- diagVector(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Extract the diagonal component from the given matrix
- diagX - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- diagX - Variable in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- difference(Polygon) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Calculates the difference between two polygons and returns a new polygon.
- DifferenceOfGaussian - Class in org.openimaj.image.processing.algorithm
-
Implementation of a difference of Gaussian filter.
- DifferenceOfGaussian() - Constructor for class org.openimaj.image.processing.algorithm.DifferenceOfGaussian
-
Construct a difference of Gaussian with the default sigmas
of 1 and 2.
- DifferenceOfGaussian(float, float) - Constructor for class org.openimaj.image.processing.algorithm.DifferenceOfGaussian
-
Construct a difference of Gaussian with the specified
sigmas.
- DifferentiableObjectiveFunction<MODEL,DATATYPE,PTYPE extends Parameters<PTYPE>> - Interface in org.openimaj.workinprogress.optimisation
-
- differentialCalculated(VideoTimecode, double, T) - Method in interface org.openimaj.video.processing.shotdetector.ShotDetectedListener
-
Called every time a differential between two frames has been
calculated.
- digamma - Variable in class org.openimaj.pgm.vb.lda.mle.LDAVariationlState
-
Holds the first derivative of the gamma
- dilate - Variable in class org.openimaj.image.processing.morphology.Close
-
- Dilate - Class in org.openimaj.image.processing.morphology
-
Morphological dilation of connected components and (assumed binary) FImages.
- Dilate(StructuringElement) - Constructor for class org.openimaj.image.processing.morphology.Dilate
-
Construct the dilate operator with the given structuring element
- Dilate() - Constructor for class org.openimaj.image.processing.morphology.Dilate
-
Construct the dilate operator with a BOX structuring element
- dilate(FImage, int) - Static method in class org.openimaj.image.processing.morphology.Dilate
-
- dilate - Variable in class org.openimaj.image.processing.morphology.Open
-
- dimension - Variable in class org.openimaj.ml.classification.StumpClassifier
-
The dimension of the feature on which this stump operates
- DioramaEffect - Class in org.openimaj.image.processing.effects
-
Class to produce a Diorama or "Minature Faking" effect.
- DioramaEffect(Line2d) - Constructor for class org.openimaj.image.processing.effects.DioramaEffect
-
Construct with the given tilt axis
- directedContour(FImage, Pixel, Pixel, Operation<IndependentPair<Pixel, Direction>>) - Method in class org.openimaj.image.contour.MooreNeighborStrategy
-
Directed contour following.
- directedContour(FImage, Pixel, Pixel, Operation<IndependentPair<Pixel, boolean[]>>) - Method in class org.openimaj.image.contour.SuzukiNeighborStrategy
-
Directed contour following.
- direction - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
The primary orientation of the component
- direction - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
The "direction" to perform the SWT
- DirectoryImageProcessor<T extends Image<?,T>> - Class in org.openimaj.tools.imagecollection.processor
-
- DirectoryImageProcessor(String, boolean, String) - Constructor for class org.openimaj.tools.imagecollection.processor.DirectoryImageProcessor
-
- directSuperclasses - Variable in class org.openimaj.rdf.owl2java.ClassDef
-
A list of the direct superclasses of this class
- DiscreteCountBipolarSentiment - Class in org.openimaj.text.nlp.sentiment.type
-
A Discrete count bipolar sentiment is one which is positive, negative or netural by some counts.
- DiscreteCountBipolarSentiment() - Constructor for class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
all weights set to 0
- DiscreteCountBipolarSentiment(int, int, int, int) - Constructor for class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- DiscreteCountBipolarSentiment(int, int, int) - Constructor for class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- DiscreteCountBipolarSentimentProvider - Interface in org.openimaj.text.nlp.sentiment.type
-
- discriminant - Variable in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
Splitting value
- discriminant - Variable in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
Splitting value
- discriminant - Variable in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
Splitting value
- discriminant - Variable in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
Splitting value
- discriminant - Variable in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
Splitting value
- discriminant - Variable in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
Splitting value
- discriminantDimension - Variable in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
Splitting dimension
- discriminantDimension - Variable in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
Splitting dimension
- discriminantDimension - Variable in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
Splitting dimension
- discriminantDimension - Variable in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
Splitting dimension
- discriminantDimension - Variable in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
Splitting dimension
- discriminantDimension - Variable in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
Splitting dimension
- DisjointSetForest<T> - Class in org.openimaj.util.set
-
Implementation of a Disjoint Set Forest data structure.
- DisjointSetForest() - Constructor for class org.openimaj.util.set.DisjointSetForest
-
Construct a new Disjoint Set Forest.
- DisjointSetForest(int) - Constructor for class org.openimaj.util.set.DisjointSetForest
-
Constructs a new Disjoint Set Forest, with the specified initial
capacity.
- Disk - Class in org.openimaj.image.processing.convolution
-
Disk - a circular averaging filter.
- Disk(int) - Constructor for class org.openimaj.image.processing.convolution.Disk
-
Default constructor.
- disk(int) - Static method in class org.openimaj.image.processing.morphology.StructuringElement
-
Build a disk shaped structuring element with the given radius.
- DiskCachingFeatureExtractor<FEATURE,OBJECT extends Identifiable> - Class in org.openimaj.feature
-
A simple wrapper for a feature extractor that caches the extracted feature to
disk.
- DiskCachingFeatureExtractor(File, FeatureExtractor<FEATURE, OBJECT>) - Constructor for class org.openimaj.feature.DiskCachingFeatureExtractor
-
Construct the cache in the given directory.
- DiskCachingFeatureExtractor(File, FeatureExtractor<FEATURE, OBJECT>, boolean) - Constructor for class org.openimaj.feature.DiskCachingFeatureExtractor
-
Construct the cache in the given directory.
- dislikes - Variable in class org.openimaj.twitter.USMFStatus
-
Number of users who "disliked" this
- display(Image<?, ?>) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the default name
- display(BufferedImage) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the default name
- display(Image<?, ?>, String) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the given title
- display(Image<?, ?>, JFrame) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image in the given frame
- display(BufferedImage, JFrame) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image in the given frame
- display(BufferedImage, JFrame, Image<?, ?>) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image in the given frame
- display(BufferedImage, String) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the given title
- display(BufferedImage, String, Image<?, ?>) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the given title
- display(ConnectedComponent) - Static method in class org.openimaj.image.DisplayUtilities
-
Render a connected component and display it
- display(ConnectedComponent, float) - Static method in class org.openimaj.image.DisplayUtilities
-
Render a connected component with a given grey level and display it
- display(Polygon) - Static method in class org.openimaj.image.DisplayUtilities
-
Render a polygon to an image and display it.
- display(Polygon, float) - Static method in class org.openimaj.image.DisplayUtilities
-
Render a polygon with a given grey level and display it
- display(String, Image<?, ?>...) - Static method in class org.openimaj.image.DisplayUtilities
-
Display multiple images in an array
- display(String, Collection<? extends Image<?, ?>>) - Static method in class org.openimaj.image.DisplayUtilities
-
Display multiple images in a collection
- display(String, int, Image<?, ?>...) - Static method in class org.openimaj.image.DisplayUtilities
-
Display multiple images in an array
- display(String, BufferedImage...) - Static method in class org.openimaj.image.DisplayUtilities
-
Display multiple images in an array of frames
- display(int[]) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Assumes the input is a one-dimensional representation of an image.
- display(float[]) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Assumes the input is a one-dimensional representation of an image.
- display(GLAutoDrawable) - Method in class org.openimaj.vis.Visualisation3D
- displayLinked(String, int, Image<?, ?>...) - Static method in class org.openimaj.image.DisplayUtilities
-
Display multiple images in an array
- displayMode(boolean) - Method in class org.openimaj.video.VideoDisplay
-
Set whether to draw onscreen or not
- displayMouseOverMatches(I, I, List<Pair<Keypoint>>, T) - Static method in class org.openimaj.feature.local.matcher.MatchingUtilities
-
Create an interactive display of matches between two images.
- displayName - Variable in class org.openimaj.audio.AudioDevice
-
The audio device name
- displayName(Image<?, ?>, String) - Static method in class org.openimaj.image.DisplayUtilities
-
- displayName(Image<?, ?>, String, boolean) - Static method in class org.openimaj.image.DisplayUtilities
-
- displayName(BufferedImage, String) - Static method in class org.openimaj.image.DisplayUtilities
-
Displays an image in the given named window
- displayNextSlide() - Method in class org.openimaj.content.slideshow.Slideshow
-
Display the next slide
- displayPrevSlide() - Method in class org.openimaj.content.slideshow.Slideshow
-
Display the previous slide
- displaySimple(Image<?, ?>) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the default name No additional functionality, such as
zooming, is enabled.
- displaySimple(BufferedImage) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the default name.
- displaySimple(Image<?, ?>, String) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the given title.
- displaySimple(BufferedImage, String) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the given title.
- displaySimple(BufferedImage, String, Image<?, ?>) - Static method in class org.openimaj.image.DisplayUtilities
-
Display an image with the given title.
- displaySlide(Slide) - Method in class org.openimaj.content.slideshow.Slideshow
-
- displaySlider(String, int, int, Operation<JSlider>) - Static method in class org.openimaj.vis.utils.VisualisationUtils
-
- DisplayUtilities - Class in org.openimaj.image
-
Static methods for displaying images using Swing.
- DisplayUtilities() - Constructor for class org.openimaj.image.DisplayUtilities
-
- DisplayUtilities.ImageComponent - Class in org.openimaj.image
-
An image viewer that displays and image and allows zooming and panning of
images.
- DisplayUtilities.ImageComponent.ImageComponentListener - Interface in org.openimaj.image
-
Listener for zoom and pan events
- DisplayUtilities.ScalingImageComponent - Class in org.openimaj.image
-
- dispose() - Method in class org.openimaj.processing.OpenIMAJ
-
- dispose(GLAutoDrawable) - Method in class org.openimaj.vis.Visualisation3D
- distance - Variable in class org.openimaj.knn.ByteNearestNeighboursExact
-
- distance(Coordinate, Coordinate) - Static method in class org.openimaj.knn.CoordinateKDTree
-
- distance - Variable in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- distance - Variable in class org.openimaj.knn.FloatNearestNeighboursExact
-
- distance - Variable in class org.openimaj.knn.IntNearestNeighboursExact
-
- distance - Variable in class org.openimaj.knn.LongNearestNeighboursExact
-
- distance - Variable in class org.openimaj.knn.ObjectNearestNeighbours
-
- distance - Variable in class org.openimaj.knn.ShortNearestNeighboursExact
-
- distance(Point2d, Point2d) - Static method in class org.openimaj.math.geometry.line.Line2d
-
Get the Euclidean distance between two points
- distance(float, float, float, float) - Static method in class org.openimaj.math.geometry.line.Line2d
-
Get the Euclidean distance between two points
- distance(byte[], byte[]) - Static method in class org.openimaj.util.tree.IncrementalByteKDTree
-
- distance(double[], double[]) - Static method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
- distance(float[], float[]) - Static method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
- distance(int[], int[]) - Static method in class org.openimaj.util.tree.IncrementalIntKDTree
-
- distance(long[], long[]) - Static method in class org.openimaj.util.tree.IncrementalLongKDTree
-
- distance(short[], short[]) - Static method in class org.openimaj.util.tree.IncrementalShortKDTree
-
- DistanceCheck - Interface in org.openimaj.math.util.distance
-
Interface for a class that can perform a check on the distance or error
between a pair of items to see if they match.
- DistanceClusterer<CLUSTERS extends IndexClusters> - Interface in org.openimaj.ml.clustering
-
- distanceComparator() - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
Get the distance comparator
- distanceComparator() - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
Get the distance comparator
- distanceComparator() - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
Get the distance comparator
- distanceComparator() - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
Get the distance comparator
- distanceComparator() - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
Get the distance comparator
- distanceComparator() - Method in class org.openimaj.knn.ObjectNearestNeighbours
-
Get the distance comparator
- distanceComparator() - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
Get the distance comparator
- DistanceComparator<T> - Interface in org.openimaj.util.comparator
-
Interface for classes that can compare two objects
and return a distance or similarity
- DistanceComparatorResidual<I,D,M extends Model<I,D>> - Class in org.openimaj.math.model.fit.residuals
-
- DistanceComparatorResidual(DistanceComparator<D>) - Constructor for class org.openimaj.math.model.fit.residuals.DistanceComparatorResidual
-
- DistanceDBSCAN - Class in org.openimaj.ml.clustering.dbscan
-
- DistanceDBSCAN(double, int) - Constructor for class org.openimaj.ml.clustering.dbscan.DistanceDBSCAN
-
- distanceFcn - Variable in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- distanceFunc(byte[], byte[][], float[]) - Static method in class org.openimaj.knn.ByteNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and each of a set of points.
- distanceFunc(byte[], byte[]) - Static method in class org.openimaj.knn.ByteNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and a point.
- distanceFunc(ByteFVComparator, byte[], byte[]) - Static method in class org.openimaj.knn.ByteNearestNeighbours
-
Static method to find a distance between
a query vector and a point.
- distanceFunc(ByteFVComparator, byte[], byte[][], float[]) - Static method in class org.openimaj.knn.ByteNearestNeighbours
-
Static method to find a distance between
a query vector and each of a set of points.
- distanceFunc(double[], double[][], double[]) - Static method in class org.openimaj.knn.DoubleNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and each of a set of points.
- distanceFunc(double[], double[]) - Static method in class org.openimaj.knn.DoubleNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and a point.
- distanceFunc(DoubleFVComparator, double[], double[]) - Static method in class org.openimaj.knn.DoubleNearestNeighbours
-
Static method to find a distance between
a query vector and a point.
- distanceFunc(DoubleFVComparator, double[], double[][], double[]) - Static method in class org.openimaj.knn.DoubleNearestNeighbours
-
Static method to find a distance between
a query vector and each of a set of points.
- distanceFunc(float[], float[][], float[]) - Static method in class org.openimaj.knn.FloatNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and each of a set of points.
- distanceFunc(float[], float[]) - Static method in class org.openimaj.knn.FloatNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and a point.
- distanceFunc(FloatFVComparator, float[], float[]) - Static method in class org.openimaj.knn.FloatNearestNeighbours
-
Static method to find a distance between
a query vector and a point.
- distanceFunc(FloatFVComparator, float[], float[][], float[]) - Static method in class org.openimaj.knn.FloatNearestNeighbours
-
Static method to find a distance between
a query vector and each of a set of points.
- distanceFunc(int[], int[][], float[]) - Static method in class org.openimaj.knn.IntNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and each of a set of points.
- distanceFunc(int[], int[]) - Static method in class org.openimaj.knn.IntNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and a point.
- distanceFunc(IntFVComparator, int[], int[]) - Static method in class org.openimaj.knn.IntNearestNeighbours
-
Static method to find a distance between
a query vector and a point.
- distanceFunc(IntFVComparator, int[], int[][], float[]) - Static method in class org.openimaj.knn.IntNearestNeighbours
-
Static method to find a distance between
a query vector and each of a set of points.
- distanceFunc(long[], long[][], double[]) - Static method in class org.openimaj.knn.LongNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and each of a set of points.
- distanceFunc(long[], long[]) - Static method in class org.openimaj.knn.LongNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and a point.
- distanceFunc(LongFVComparator, long[], long[]) - Static method in class org.openimaj.knn.LongNearestNeighbours
-
Static method to find a distance between
a query vector and a point.
- distanceFunc(LongFVComparator, long[], long[][], double[]) - Static method in class org.openimaj.knn.LongNearestNeighbours
-
Static method to find a distance between
a query vector and each of a set of points.
- distanceFunc(DistanceComparator<? super T>, T, T) - Static method in class org.openimaj.knn.ObjectNearestNeighbours
-
Static method to find a distance between a query vector and point.
- distanceFunc(short[], short[][], float[]) - Static method in class org.openimaj.knn.ShortNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and each of a set of points.
- distanceFunc(short[], short[]) - Static method in class org.openimaj.knn.ShortNearestNeighbours
-
Static method to find the sum-squared distance between
a query vector and a point.
- distanceFunc(ShortFVComparator, short[], short[]) - Static method in class org.openimaj.knn.ShortNearestNeighbours
-
Static method to find a distance between
a query vector and a point.
- distanceFunc(ShortFVComparator, short[], short[][], float[]) - Static method in class org.openimaj.knn.ShortNearestNeighbours
-
Static method to find a distance between
a query vector and each of a set of points.
- distanceFunction() - Method in class org.openimaj.lsh.functions.ByteHashFunctionFactory
-
- distanceFunction() - Method in class org.openimaj.lsh.functions.DoubleHashFunctionFactory
-
- distanceFunction() - Method in class org.openimaj.lsh.functions.FloatHashFunctionFactory
-
- distanceFunction() - Method in class org.openimaj.lsh.functions.IntHashFunctionFactory
-
- distanceFunction() - Method in class org.openimaj.lsh.functions.LongHashFunctionFactory
-
- distanceFunction() - Method in class org.openimaj.lsh.functions.RandomisedHashFunctionFactory
-
- distanceFunction() - Method in class org.openimaj.lsh.functions.ShortHashFunctionFactory
-
- distances - Static variable in class org.openimaj.ml.clustering.rac.IntRAC
-
- distanceToLine(Point2d) - Method in class org.openimaj.math.geometry.line.Line2d
-
Returns the shortest distance between the point and this line.
- DiversityAxis<O> - Class in org.openimaj.vis.general
-
A horizontal axis on which items can be plotted and grouped into bands.
- DiversityAxis(ItemPlotter<O, Float[], MBFImage>) - Constructor for class org.openimaj.vis.general.DiversityAxis
-
Default constructor
- DiversityAxis(int, int, ItemPlotter<O, Float[], MBFImage>) - Constructor for class org.openimaj.vis.general.DiversityAxis
-
Default constructor that takes the width and height of the visualisation
- divide(FImage) - Method in class org.openimaj.image.FImage
-
Divides the pixels values of this image with the values from the given
image.
- divide(Image<?, ?>) - Method in class org.openimaj.image.Image
-
Divide each pixel of the image by corresponding pixel in the given image.
- divide(Q) - Method in class org.openimaj.image.Image
-
Divide each pixel of the image by the given scalar value.
- divide(T) - Method in class org.openimaj.image.MultiBandImage
-
Divides all pixels of each band by the given value and returns result as
a new image.
- divide(CLQueue, CLImage2D, CLImage2D, CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Divide two images, storing the result in another image
- divide(CLQueue, CLImage2D, float[], CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Divide an image by a constant, storing the result in another image
- divide(CLImage2D, CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Divide two images, returning a new image with the result
- divide(CLImage2D, float[]) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Divide an image by a constant, returning a new image with the result
- divide(I, I) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Divide two images, returning a new image with the result
- divide(I, float[]) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Divide an image by a constant, returning a new image with the result
- divide(DiscreteCountBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- divide(Integer) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- divide(WeightedBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- divide(Double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- divide(double[], double) - Static method in class org.openimaj.util.array.ArrayUtils
-
Divide by a constant, all elements and return the input
- divide(float[], float) - Static method in class org.openimaj.util.array.ArrayUtils
-
Divide by a constant, all elements and return the input
- divide(int[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Divide by a constant, all elements and return the input
- divide(long[], long) - Static method in class org.openimaj.util.array.ArrayUtils
-
Divide by a constant, all elements and return the input
- divide(byte[], byte) - Static method in class org.openimaj.util.array.ArrayUtils
-
Divide by a constant, all elements and return the input
- divide(short[], short) - Static method in class org.openimaj.util.array.ArrayUtils
-
Divide by a constant, all elements and return the input
- divide(OBJECT) - Method in interface org.openimaj.util.math.ObjectArithmetic
-
Divide a copy of this.
- divide(SCALAR) - Method in interface org.openimaj.util.math.ScalarArithmetic
-
Divide a copy of this.
- divideInplace(FImage) - Method in class org.openimaj.image.FImage
-
Divides the pixel values of this image with the values from the given
image.
- divideInplace(Float) - Method in class org.openimaj.image.FImage
-
Divide each pixel of the image by the given scalar value.
- divideInplace(float) - Method in class org.openimaj.image.FImage
-
Divide all pixels by a given value
- divideInplace(Image<?, ?>) - Method in class org.openimaj.image.FImage
-
Divide each pixel in this image by the corresponding pixel value in the
given image.
- divideInplace(Image<?, ?>) - Method in class org.openimaj.image.Image
-
Divide each pixel in this image by the corresponding pixel value in the
given image.
- divideInplace(Q) - Method in class org.openimaj.image.Image
-
Divide each pixel of the image by the given scalar value.
- divideInplace(Image<?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Divide each pixel in this image by the corresponding pixel value in the
given image.
- divideInplace(MultiBandImage<?, ?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Divides the pixels in every band of this image by the corresponding pixel
in the corresponding band of the given image.
- divideInplace(SingleBandImage<?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Divides the pixels in every band of this image by the corresponding pixel
in the given image.
- divideInplace(T) - Method in class org.openimaj.image.MultiBandImage
-
Divide all pixels of every band by the given value.
- divideInplace(T[]) - Method in class org.openimaj.image.MultiBandImage
-
Divide each pixel of the image by the given scalar value.
- divideInplace(Image<?, ?>) - Method in class org.openimaj.image.SVGImage
-
- divideInplace(Float[]) - Method in class org.openimaj.image.SVGImage
-
- divideInplace(DiscreteCountBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- divideInplace(Integer) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- divideInplace(WeightedBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- divideInplace(Double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- divideInplace(OBJECT) - Method in interface org.openimaj.util.math.ObjectArithmetic
-
Divide this.
- divideInplace(SCALAR) - Method in interface org.openimaj.util.math.ScalarArithmetic
-
Divide this.
- divToPElementsRe - Static variable in class org.openimaj.web.readability.Readability.Regexps
-
- dloss(double, double) - Method in interface org.openimaj.workinprogress.sgdsvm.Loss
-
- Dmoz2CSV - Class in org.openimaj.tools.web
-
A script for reading the RDF dump from DMOZ and flattening it to
CSV format
- Dmoz2CSV() - Constructor for class org.openimaj.tools.web.Dmoz2CSV
-
- DmozExtractFeatures - Class in org.openimaj.tools.web
-
Extract features from the webpages listed in files created by
Dmoz2CSV
.
- DmozExtractFeatures() - Constructor for class org.openimaj.tools.web.DmozExtractFeatures
-
- do_create(ClusterQuantiserOptions) - Static method in class org.openimaj.tools.clusterquantiser.ClusterQuantiser
-
create new clusters
- do_getSampleBatches(ClusterQuantiserOptions) - Static method in class org.openimaj.tools.clusterquantiser.ClusterQuantiser
-
Get sample batches
- do_getSamples(ClusterQuantiserOptions) - Static method in class org.openimaj.tools.clusterquantiser.ClusterQuantiser
-
Get samples
- do_info(AbstractClusterQuantiserOptions) - Static method in class org.openimaj.tools.clusterquantiser.ClusterQuantiser
-
Print info about clusters
- do_quant(ClusterQuantiserOptions) - Static method in class org.openimaj.tools.clusterquantiser.ClusterQuantiser
-
Quantise features
- Document - Interface in comxmlns.foaf._0
-
http://xmlns.com/foaf/0.1/Document
- Document(String, int, double) - Constructor for class org.lemurproject.ireval.RetrievalEvaluator.Document
-
Constructs a new Document object.
- Document(String) - Constructor for class org.lemurproject.ireval.RetrievalEvaluator.Document
-
Constructs a new Document object.
- Document - Class in org.openimaj.pgm.util
-
A document is a bag of words
- Document(Corpus) - Constructor for class org.openimaj.pgm.util.Document
-
- Document(int) - Constructor for class org.openimaj.pgm.util.Document
-
- document - Variable in class org.openimaj.web.readability.Readability
-
- documentNumber - Variable in class org.lemurproject.ireval.RetrievalEvaluator.Document
-
The document identifier.
- documentNumber - Variable in class org.lemurproject.ireval.RetrievalEvaluator.Judgment
-
The document identifier.
- doExperiment() - Method in class org.openimaj.image.feature.local.interest.experiment.RepeatabilityExperiment
-
- doExperiment() - Method in class org.openimaj.twitter.experiments.langid.TrueLanguageExperiment
-
do the experiment
- DoGColourSIFTEngine - Class in org.openimaj.image.feature.local.engine
-
- DoGColourSIFTEngine() - Constructor for class org.openimaj.image.feature.local.engine.DoGColourSIFTEngine
-
- DoGColourSIFTEngine(DoGSIFTEngineOptions<MBFImage>) - Constructor for class org.openimaj.image.feature.local.engine.DoGColourSIFTEngine
-
Construct with the given options.
- DoGOctave<I extends Image<?,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.feature.local.detector.dog.pyramid
-
A DoGOctave is capable of processing an octave of Gaussian blurred
images to produce an octave of difference-of-Gaussian images.
- DoGOctave(GaussianPyramid<I>, float) - Constructor for class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctave
-
Construct a Difference of Gaussian octave with the provided parent Pyramid
and octaveSize.
- DoGOctaveExtremaFinder - Class in org.openimaj.image.feature.local.detector.dog.pyramid
-
- DoGOctaveExtremaFinder(OctaveInterestPointFinder<GaussianOctave<FImage>, FImage>) - Constructor for class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
Construct with the given finder.
- DoGOctaveExtremaFinder(OctaveInterestPointFinder<GaussianOctave<FImage>, FImage>, OctaveInterestPointListener<GaussianOctave<FImage>, FImage>) - Constructor for class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
Construct with the given finder and listener.
- DoGSIFTEngine - Class in org.openimaj.image.feature.local.engine
-
An implementation of Lowe's SIFT: specifically both the
difference-of-Gaussian detector coupled with a SIFT descriptor.
- DoGSIFTEngine() - Constructor for class org.openimaj.image.feature.local.engine.DoGSIFTEngine
-
Construct a DoGSIFTEngine with the default options.
- DoGSIFTEngine(DoGSIFTEngineOptions<FImage>) - Constructor for class org.openimaj.image.feature.local.engine.DoGSIFTEngine
-
Construct a DoGSIFTEngine with the given options.
- DoGSIFTEngineOptions<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.feature.local.engine
-
Options for controlling SIFT feature localisation and extraction.
- DoGSIFTEngineOptions() - Constructor for class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
- DoGSIFTFeature - Class in org.openimaj.image.processing.face.feature
-
- DoGSIFTFeature() - Constructor for class org.openimaj.image.processing.face.feature.DoGSIFTFeature
-
- DoGSIFTFeature.Extractor - Class in org.openimaj.image.processing.face.feature
-
- DoGSIFTFeatureComparator - Class in org.openimaj.image.processing.face.feature.comparison
-
- DoGSIFTFeatureComparator() - Constructor for class org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator
-
- DoGSiftFeatureExtractor - Class in org.openimaj.experiment.gmm.retrieval
-
- DoGSiftFeatureExtractor() - Constructor for class org.openimaj.experiment.gmm.retrieval.DoGSiftFeatureExtractor
-
- domain - Variable in class org.openimaj.rdf.owl2java.PropertyDef
-
The domain of the property
- DominantOrientationExtractor - Class in org.openimaj.image.feature.local.detector.dog.extractor
-
Extract the dominant orientations of a scale-space interest point by
looking for peaks in its orientation histogram.
- DominantOrientationExtractor() - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.DominantOrientationExtractor
-
Construct with default values.
- DominantOrientationExtractor(float, OrientationHistogramExtractor) - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.DominantOrientationExtractor
-
Construct with given parameters.
- dot(Vector) - Method in class ch.akuhn.matrix.SparseVector
-
- dot(Vector) - Method in class ch.akuhn.matrix.Vector
-
Returns the dot/scalar product.
- doTask() - Method in class org.openimaj.utils.threads.WatchedRunner
-
- DotPlotVisualisation - Class in org.openimaj.vis.general
-
Plots blobs proportional to the size of the value.
- DotPlotVisualisation() - Constructor for class org.openimaj.vis.general.DotPlotVisualisation
-
Default construcotr
- DotPlotVisualisation(int, int) - Constructor for class org.openimaj.vis.general.DotPlotVisualisation
-
Constructor that takes the width and height of the visualisation
- DotPlotVisualisation.ColouredDot - Class in org.openimaj.vis.general
-
A dot with a specific size and colour.
- DotPlotVisualisation3D - Class in org.openimaj.vis.general
-
- DotPlotVisualisation3D(int, int) - Constructor for class org.openimaj.vis.general.DotPlotVisualisation3D
-
- dotProduct(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Compute the dot product X.W
- dotProduct(SparseByteArray) - Method in class org.openimaj.util.array.SparseByteArray
-
Compute the dot product with another vector
- dotProduct(SparseDoubleArray) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Compute the dot product with another vector
- dotProduct(SparseFloatArray) - Method in class org.openimaj.util.array.SparseFloatArray
-
Compute the dot product with another vector
- dotProduct(SparseIntArray) - Method in class org.openimaj.util.array.SparseIntArray
-
Compute the dot product with another vector
- dotProduct(SparseLongArray) - Method in class org.openimaj.util.array.SparseLongArray
-
Compute the dot product with another vector
- dotProduct(SparseShortArray) - Method in class org.openimaj.util.array.SparseShortArray
-
Compute the dot product with another vector
- dotProductTranspose(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Compute Y = A .
- dotProductTranspose(Matrix, Matrix, T) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Y = A .
- dotProductTransposeTranspose(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Perform: A.T.dot(B.T) without performing the transpose.
- DoubleADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product
Quantised vectors.
- DoubleADCNearestNeighbours(DoubleProductQuantiser, double[][]) - Constructor for class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- DoubleADCNearestNeighbours(DoubleProductQuantiser, byte[][], int) - Constructor for class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
Construct the ADC with the given quantiser and pre-quantised data .
- DoubleArrayBackedDataSource - Class in org.openimaj.data
-
- DoubleArrayBackedDataSource(double[][]) - Constructor for class org.openimaj.data.DoubleArrayBackedDataSource
-
Construct with data
- DoubleArrayBackedDataSource(double[][], Random) - Constructor for class org.openimaj.data.DoubleArrayBackedDataSource
-
Construct with data and a random generator for random sampling
- DoubleArrayKernelPerceptron - Class in org.openimaj.ml.linear.learner.perceptron
-
- DoubleArrayKernelPerceptron(VectorKernel) - Constructor for class org.openimaj.ml.linear.learner.perceptron.DoubleArrayKernelPerceptron
-
- DoubleArrayStatsUtils - Class in org.openimaj.math.util
-
Some basic statistical operations on double arrays
- DoubleArrayStatsUtils() - Constructor for class org.openimaj.math.util.DoubleArrayStatsUtils
-
- DoubleArrayValueAnimator - Class in org.openimaj.content.animation.animator
-
- DoubleArrayValueAnimator(ValueAnimator<Double>...) - Constructor for class org.openimaj.content.animation.animator.DoubleArrayValueAnimator
-
- DoubleArrayView - Class in org.openimaj.util.array
-
A wrapper around a java double array that allows
views onto the array to be created without the
overhead of maintaining copies of the data.
- DoubleArrayView(double[], int, int) - Constructor for class org.openimaj.util.array.DoubleArrayView
-
Create a view on the given array from l (inclusive) to
r (exclusive).
- DoubleArrayView(double[]) - Constructor for class org.openimaj.util.array.DoubleArrayView
-
Create a view on the entirety of the given array.
- DoubleArrayView(int) - Constructor for class org.openimaj.util.array.DoubleArrayView
-
Create a view on an array of length n.
- DoubleBytePair - Class in org.openimaj.util.pair
-
A pair of double and byte types
- DoubleBytePair(double, byte) - Constructor for class org.openimaj.util.pair.DoubleBytePair
-
Construct pair with given values
- DoubleBytePair() - Constructor for class org.openimaj.util.pair.DoubleBytePair
-
Construct empty pair
- DoubleCauchyFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that use a Cauchy
distribution to approximate L1 distance.
- DoubleCauchyFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.DoubleCauchyFactory
-
Construct the factory with the given parameters.
- DoubleCentroidsResult - Class in org.openimaj.ml.clustering
-
- DoubleCentroidsResult() - Constructor for class org.openimaj.ml.clustering.DoubleCentroidsResult
-
- DoubleDBSCANClusters - Class in org.openimaj.ml.clustering.dbscan
-
- DoubleDBSCANClusters(int[], int[][]) - Constructor for class org.openimaj.ml.clustering.dbscan.DoubleDBSCANClusters
-
- DoubleDBSCANClusters(int[], int[][], int) - Constructor for class org.openimaj.ml.clustering.dbscan.DoubleDBSCANClusters
-
- DoubleDCT_1D - Class in edu.emory.mathcs.jtransforms.dct
-
Computes 1D Discrete Cosine Transform (DCT) of double precision data.
- DoubleDCT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dct.DoubleDCT_1D
-
Creates new instance of DoubleDCT_1D.
- DoubleDCT_2D - Class in edu.emory.mathcs.jtransforms.dct
-
Computes 2D Discrete Cosine Transform (DCT) of double precision data.
- DoubleDCT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dct.DoubleDCT_2D
-
Creates new instance of DoubleDCT_2D.
- DoubleDCT_3D - Class in edu.emory.mathcs.jtransforms.dct
-
Computes 3D Discrete Cosine Transform (DCT) of double precision data.
- DoubleDCT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dct.DoubleDCT_3D
-
Creates new instance of DoubleDCT_3D.
- DoubleDHT_1D - Class in edu.emory.mathcs.jtransforms.dht
-
Computes 1D Discrete Hartley Transform (DHT) of real, double precision data.
- DoubleDHT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dht.DoubleDHT_1D
-
Creates new instance of DoubleDHT_1D.
- DoubleDHT_2D - Class in edu.emory.mathcs.jtransforms.dht
-
Computes 2D Discrete Hartley Transform (DHT) of real, double precision data.
- DoubleDHT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dht.DoubleDHT_2D
-
Creates new instance of DoubleDHT_2D.
- DoubleDHT_3D - Class in edu.emory.mathcs.jtransforms.dht
-
Computes 3D Discrete Hartley Transform (DHT) of real, double precision data.
- DoubleDHT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dht.DoubleDHT_3D
-
Creates new instance of DoubleDHT_3D.
- DoubleDoublePair - Class in org.openimaj.util.pair
-
A pair of double and double types
- DoubleDoublePair(double, double) - Constructor for class org.openimaj.util.pair.DoubleDoublePair
-
Construct pair with given values
- DoubleDoublePair() - Constructor for class org.openimaj.util.pair.DoubleDoublePair
-
Construct empty pair
- DoubleDST_1D - Class in edu.emory.mathcs.jtransforms.dst
-
Computes 1D Discrete Sine Transform (DST) of double precision data.
- DoubleDST_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dst.DoubleDST_1D
-
Creates new instance of DoubleDST_1D.
- DoubleDST_2D - Class in edu.emory.mathcs.jtransforms.dst
-
Computes 2D Discrete Sine Transform (DST) of double precision data.
- DoubleDST_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dst.DoubleDST_2D
-
Creates new instance of DoubleDST_2D.
- DoubleDST_3D - Class in edu.emory.mathcs.jtransforms.dst
-
Computes 3D Discrete Sine Transform (DST) of double precision data.
- DoubleDST_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dst.DoubleDST_3D
-
Creates new instance of DoubleDST_3D.
- DoubleFFT_1D - Class in edu.emory.mathcs.jtransforms.fft
-
Computes 1D Discrete Fourier Transform (DFT) of complex and real, double
precision data.
- DoubleFFT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Creates new instance of DoubleFFT_1D.
- DoubleFFT_2D - Class in edu.emory.mathcs.jtransforms.fft
-
Computes 2D Discrete Fourier Transform (DFT) of complex and real, double
precision data.
- DoubleFFT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Creates new instance of DoubleFFT_2D.
- DoubleFFT_3D - Class in edu.emory.mathcs.jtransforms.fft
-
Computes 3D Discrete Fourier Transform (DFT) of complex and real, double
precision data.
- DoubleFFT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Creates new instance of DoubleFFT_3D.
- DoubleFloatPair - Class in org.openimaj.util.pair
-
A pair of double and float types
- DoubleFloatPair(double, float) - Constructor for class org.openimaj.util.pair.DoubleFloatPair
-
Construct pair with given values
- DoubleFloatPair() - Constructor for class org.openimaj.util.pair.DoubleFloatPair
-
Construct empty pair
- DoubleFV - Class in org.openimaj.feature
-
Basic double single-dimensional feature vector implementation
- DoubleFV() - Constructor for class org.openimaj.feature.DoubleFV
-
Construct an empty feature vector
- DoubleFV(int) - Constructor for class org.openimaj.feature.DoubleFV
-
Construct empty FV with given number of bins
- DoubleFV(double[]) - Constructor for class org.openimaj.feature.DoubleFV
-
Construct from flattened values array and dimensions
- DoubleFV2FImage - Class in org.openimaj.image.feature
-
- DoubleFV2FImage(int, int) - Constructor for class org.openimaj.image.feature.DoubleFV2FImage
-
Construct the converter with the given image size
- DoubleFVComparator - Interface in org.openimaj.feature
-
Comparison/distance methods for DoubleFV objects.
- DoubleFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for DoubleFV objects.
- DoubleFVSimilarityFunction<T> - Class in org.openimaj.ml.clustering.spectral
-
- DoubleFVSimilarityFunction(FeatureExtractor<DoubleFV, T>) - Constructor for class org.openimaj.ml.clustering.spectral.DoubleFVSimilarityFunction
-
- DoubleGaussianFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions using Gaussian
distributions to approximate the Euclidean distance.
- DoubleGaussianFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.DoubleGaussianFactory
-
Construct with the given parameters.
- DoubleHammingFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that approximate the
Hamming distance.
- DoubleHammingFactory(int, MersenneTwister, int) - Constructor for class org.openimaj.lsh.functions.DoubleHammingFactory
-
Construct a new factory using the given parameters.
- DoubleHashFunction - Class in org.openimaj.lsh.functions
-
- DoubleHashFunctionFactory - Class in org.openimaj.lsh.functions
-
- DoubleHashFunctionFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.DoubleHashFunctionFactory
-
- DoubleHyperplaneCosineFactory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate cosine
distance using hyperplanes.
- DoubleHyperplaneCosineFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.DoubleHyperplaneCosineFactory
-
Construct with the given arguments.
- DoubleHyperplaneL1Factory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate L1
(city-block) distance in closed spaces using random axis-aligned hyperplanes.
- DoubleHyperplaneL1Factory(int, MersenneTwister, double, double) - Constructor for class org.openimaj.lsh.functions.DoubleHyperplaneL1Factory
-
Construct with the given arguments.
- doubleInitialImage - Variable in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Should the starting image of the pyramid be stretched to twice its size?
- DoubleIntPair - Class in org.openimaj.util.pair
-
A pair of double and int types
- DoubleIntPair(double, int) - Constructor for class org.openimaj.util.pair.DoubleIntPair
-
Construct pair with given values
- DoubleIntPair() - Constructor for class org.openimaj.util.pair.DoubleIntPair
-
Construct empty pair
- DoubleKDTree - Class in org.openimaj.util.tree
-
Immutable KD-Tree implementation for double[] data.
- DoubleKDTree(double[][]) - Constructor for class org.openimaj.util.tree.DoubleKDTree
-
- DoubleKDTree(double[][], DoubleKDTree.SplitChooser) - Constructor for class org.openimaj.util.tree.DoubleKDTree
-
Construct with the given data and splitting strategy
- DoubleKDTree.ApproximateBBFMedianSplit - Class in org.openimaj.util.tree
-
Approximate best-bin-first median splitting.
- DoubleKDTree.BasicMedianSplit - Class in org.openimaj.util.tree
-
Basic median split.
- DoubleKDTree.BBFMedianSplit - Class in org.openimaj.util.tree
-
Best-bin-first median splitting.
- DoubleKDTree.KDTreeNode - Class in org.openimaj.util.tree
-
An internal node of the KDTree
- DoubleKDTree.RandomisedBBFMeanSplit - Class in org.openimaj.util.tree
-
Randomised best-bin-first splitting strategy:
Nodes with less than a set number of items become leafs.
- DoubleKDTree.SplitChooser - Interface in org.openimaj.util.tree
-
Interface for describing how a branch in the KD-Tree should be created
- DoubleKDTreeClusterer - Class in org.openimaj.ml.clustering.kdtree
-
- DoubleKDTreeClusterer() - Constructor for class org.openimaj.ml.clustering.kdtree.DoubleKDTreeClusterer
-
- DoubleKDTreeClusterer(double, int, int) - Constructor for class org.openimaj.ml.clustering.kdtree.DoubleKDTreeClusterer
-
- DoubleKDTreeClusterer(SplitDetectionMode, double, int, int) - Constructor for class org.openimaj.ml.clustering.kdtree.DoubleKDTreeClusterer
-
- DoubleKDTreeClusterer(double) - Constructor for class org.openimaj.ml.clustering.kdtree.DoubleKDTreeClusterer
-
- DoubleKDTreeEnsemble - Class in org.openimaj.knn.approximate
-
Ensemble of Best-Bin-First KDTrees for double data.
- DoubleKDTreeEnsemble(double[][]) - Constructor for class org.openimaj.knn.approximate.DoubleKDTreeEnsemble
-
Construct a DoubleKDTreeEnsemble with the provided data,
using the default of 8 trees.
- DoubleKDTreeEnsemble(double[][], int) - Constructor for class org.openimaj.knn.approximate.DoubleKDTreeEnsemble
-
Construct a DoubleKDTreeEnsemble with the provided data and
number of trees.
- DoubleKDTreeEnsemble(double[][], int, int) - Constructor for class org.openimaj.knn.approximate.DoubleKDTreeEnsemble
-
Construct a DoubleKDTreeEnsemble with the provided data and
number of trees.
- DoubleKDTreeEnsemble.DoubleKDTreeNode - Class in org.openimaj.knn.approximate
-
An internal node of the KDTree
- DoubleKDTreeNode() - Constructor for class org.openimaj.knn.approximate.DoubleKDTreeEnsemble.DoubleKDTreeNode
-
Construct a new node
- DoubleKDTreeNode(double[][], IntArrayView, Uniform) - Constructor for class org.openimaj.knn.approximate.DoubleKDTreeEnsemble.DoubleKDTreeNode
-
Construct a new node with the given data
- DoubleKMeans - Class in org.openimaj.ml.clustering.kmeans
-
Fast, parallel implementation of the K-Means algorithm with support for
bigger-than-memory data.
- DoubleKMeans(KMeansConfiguration<DoubleNearestNeighbours, double[]>) - Constructor for class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Construct the clusterer with the the given configuration.
- DoubleKMeans() - Constructor for class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
A completely default
DoubleKMeans
used primarily as a convenience function for reading.
- DoubleKMeans.Result - Class in org.openimaj.ml.clustering.kmeans
-
Result object for DoubleKMeans, extending DoubleCentroidsResult and DoubleNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
- DoubleKMeansInit - Class in org.openimaj.ml.clustering.kmeans
-
Initialisation for K-Means clustering.
- DoubleKMeansInit() - Constructor for class org.openimaj.ml.clustering.kmeans.DoubleKMeansInit
-
- DoubleKMeansInit.RANDOM - Class in org.openimaj.ml.clustering.kmeans
-
Simple kmeans initialized on randomly selected samples.
- DoubleKNNAssigner - Class in org.openimaj.ml.clustering.assignment.soft
-
A
SoftAssigner
that picks a fixed number of nearest neighbours.
- DoubleKNNAssigner(CentroidsProvider<double[]>, boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
Construct the assigner using the given cluster data.
- DoubleKNNAssigner(double[][], boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
Construct the assigner using the given cluster data.
- DoubleKNNAssigner(CentroidsProvider<double[]>, DoubleFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- DoubleKNNAssigner(double[][], DoubleFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- DoubleLongPair - Class in org.openimaj.util.pair
-
A pair of double and long types
- DoubleLongPair(double, long) - Constructor for class org.openimaj.util.pair.DoubleLongPair
-
Construct pair with given values
- DoubleLongPair() - Constructor for class org.openimaj.util.pair.DoubleLongPair
-
Construct empty pair
- DoubleMultiviewSpectralClustering - Class in org.openimaj.ml.clustering.spectral
-
- DoubleMultiviewSpectralClustering(MultiviewSpectralClusteringConf<double[]>) - Constructor for class org.openimaj.ml.clustering.spectral.DoubleMultiviewSpectralClustering
-
- DoubleNearestNeighbours - Class in org.openimaj.knn
-
Abstract base class for k-nearest-neighbour calculations with double[] data.
- DoubleNearestNeighbours() - Constructor for class org.openimaj.knn.DoubleNearestNeighbours
-
- DoubleNearestNeighboursExact - Class in org.openimaj.knn
-
Exact (brute-force) k-nearest-neighbour implementation.
- DoubleNearestNeighboursExact(double[][]) - Constructor for class org.openimaj.knn.DoubleNearestNeighboursExact
-
Construct the DoubleNearestNeighboursExact over the provided
dataset and using Euclidean distance.
- DoubleNearestNeighboursExact(double[][], DoubleFVComparator) - Constructor for class org.openimaj.knn.DoubleNearestNeighboursExact
-
Construct the DoubleNearestNeighboursExact over the provided
dataset with the given distance function.
- DoubleNearestNeighboursExact.Factory - Class in org.openimaj.knn
-
- DoubleNearestNeighboursKDTree - Class in org.openimaj.knn.approximate
-
Fast Nearest-Neighbours for double data using an ensemble of Best-Bin-First KDTrees.
- DoubleNearestNeighboursKDTree(double[][], int, int) - Constructor for class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
Construct the DoubleNearestNeighboursKDTree with the given options.
- DoubleNearestNeighboursKDTree.Factory - Class in org.openimaj.knn.approximate
-
- DoubleNearestNeighboursProvider - Interface in org.openimaj.knn
-
Interface for classes able to expose a k-nearest-neighbour object.
- DoubleNNDBSCAN - Class in org.openimaj.ml.clustering.dbscan
-
Implementation of DBSCAN (http://en.wikipedia.org/wiki/DBSCAN) using
a
- DoubleNNDBSCAN(double, int, NearestNeighboursFactory<? extends DoubleNearestNeighbours, double[]>) - Constructor for class org.openimaj.ml.clustering.dbscan.DoubleNNDBSCAN
-
Perform a DBScane with this configuration
- DoubleNNDBSCAN(double, int) - Constructor for class org.openimaj.ml.clustering.dbscan.DoubleNNDBSCAN
-
- DoubleObjectPair<Q> - Class in org.openimaj.util.pair
-
A pair of double and a generic type
- DoubleObjectPair(double, Q) - Constructor for class org.openimaj.util.pair.DoubleObjectPair
-
Construct pair with given values
- DoubleObjectPair() - Constructor for class org.openimaj.util.pair.DoubleObjectPair
-
Construct empty pair
- DoublePoint2dImpl - Class in org.openimaj.math.geometry.point
-
Double-precision 2d point
- DoublePoint2dImpl() - Constructor for class org.openimaj.math.geometry.point.DoublePoint2dImpl
-
Default constructor - point at origin
- DoublePoint2dImpl(double, double) - Constructor for class org.openimaj.math.geometry.point.DoublePoint2dImpl
-
Construct with given ordinates
- DoublePoint2dImpl(Point2d) - Constructor for class org.openimaj.math.geometry.point.DoublePoint2dImpl
-
Construct with given coordinate
- DoubleProductQuantiser - Class in org.openimaj.knn.pq
-
Implementation of a Product Quantiser for vectors/arrays of doubles.
- DoubleProductQuantiser(DoubleNearestNeighboursExact[]) - Constructor for class org.openimaj.knn.pq.DoubleProductQuantiser
-
- DoubleProductQuantiserUtilities - Class in org.openimaj.knn.pq
-
- DoubleProviderTimeSeriesConverter<INPUTALL,INPUTSINGLE,INPUTTS extends TimeSeries<INPUTALL,INPUTSINGLE,INPUTTS> & DoubleTimeSeriesProvider> - Class in org.openimaj.ml.timeseries.converter
-
- DoubleProviderTimeSeriesConverter() - Constructor for class org.openimaj.ml.timeseries.converter.DoubleProviderTimeSeriesConverter
-
- DoublePStableFactory - Class in org.openimaj.lsh.functions
-
Base class for hashing schemes based on P-Stable distributions.
- DoublePStableFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.DoublePStableFactory
-
Construct with the given parameters.
- DoublePStableFactory.PStableFunction - Class in org.openimaj.lsh.functions
-
- DoubleSDCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Symmetric Distance Computation (SDC) on Product
Quantised vectors.
- DoubleSDCNearestNeighbours(DoubleProductQuantiser, double[][][], double[][]) - Constructor for class org.openimaj.knn.pq.DoubleSDCNearestNeighbours
-
Construct the SDC with the given quantiser, centroids (corresponding to
the quantiser's internal assigners), and data.
- DoubleShortPair - Class in org.openimaj.util.pair
-
A pair of double and short types
- DoubleShortPair(double, short) - Constructor for class org.openimaj.util.pair.DoubleShortPair
-
Construct pair with given values
- DoubleShortPair() - Constructor for class org.openimaj.util.pair.DoubleShortPair
-
Construct empty pair
- doubleSize(I) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Double the size of the image.
- doubleSize(FImage) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Double the size of the image.
- doubleSize - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Upscale the image to double size before applying the SWT.
- DoubleSpectralClustering - Class in org.openimaj.ml.clustering.spectral
-
Built from a mixture of this tutorial:
- http://www.kyb.mpg.de/fileadmin/user_upload/files/publications/attachments/Luxburg07_tutorial_4488%5B0%5D.pdf
And this implementation:
- https://github.com/peterklipfel/AutoponicsVision/blob/master/SpectralClustering.java
- DoubleSpectralClustering(SpectralClusteringConf<double[]>) - Constructor for class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- DoubleSpectralClustering() - Constructor for class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- DoubleSynchronisedTimeSeriesCollection - Class in org.openimaj.ml.timeseries.series
-
- DoubleSynchronisedTimeSeriesCollection() - Constructor for class org.openimaj.ml.timeseries.series.DoubleSynchronisedTimeSeriesCollection
-
basic constructor
- DoubleSynchronisedTimeSeriesCollection(IndependentPair<String, DoubleTimeSeries>...) - Constructor for class org.openimaj.ml.timeseries.series.DoubleSynchronisedTimeSeriesCollection
-
create a synchronised series from a bunch of pairs
- doubleTimeSeries() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeries
-
- DoubleTimeSeries - Class in org.openimaj.ml.timeseries.series
-
- DoubleTimeSeries(int) - Constructor for class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
Convenience constructor, makes a time series with empty data of a given size
- DoubleTimeSeries() - Constructor for class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
Sets the times and data arrays backing this class 0 length
- DoubleTimeSeries(long[], double[]) - Constructor for class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- doubleTimeSeries() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- doubleTimeSeries() - Method in interface org.openimaj.ml.timeseries.series.DoubleTimeSeriesProvider
-
- DoubleTimeSeriesCollection - Class in org.openimaj.ml.timeseries.series
-
- DoubleTimeSeriesCollection() - Constructor for class org.openimaj.ml.timeseries.series.DoubleTimeSeriesCollection
-
- DoubleTimeSeriesProvider - Interface in org.openimaj.ml.timeseries.series
-
- DownloadBolt - Class in org.openimaj.picslurper
-
- DownloadBolt(boolean, File, File, List<OutputListener>) - Constructor for class org.openimaj.picslurper.DownloadBolt
-
- DownloadMapper - Class in org.openimaj.hadoop.tools.downloader
-
A Hadoop Mapper
for downloading files.
- DownloadMapper() - Constructor for class org.openimaj.hadoop.tools.downloader.DownloadMapper
-
- DownloadMapper.Counters - Enum in org.openimaj.hadoop.tools.downloader
-
- downloadURL(URL, File) - Static method in class org.openimaj.io.FileUtils
-
Download the contents of the given URL to the given file
- doWork(String) - Method in class org.openimaj.text.nlp.io.FileLooper
-
Do what you want to each line here.
- doWork(String) - Method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder.StreamLooper
-
Do what you want to each line here.
- drainTo(Collection<? super E>) - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- drainTo(Collection<? super E>, int) - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- drainTo(Collection<? super E>) - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Removes all available elements from this queue and adds them to the given
collection.
- drainTo(Collection<? super E>, int) - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Removes at most the given number of available elements from this queue
and adds them to the given collection.
- draw() - Method in class org.openimaj.vis.ternary.TernaryPlot
-
- draw(TernaryParams) - Method in class org.openimaj.vis.ternary.TernaryPlot
-
- draw(MBFImage, int, int, PointList) - Method in enum org.openimaj.vis.video.VideoObjectVisualisation.DrawType
-
Draw the point list into the given visualisation at the given offset.
- DRAW_SCALE - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- drawAxis(AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer
-
Draw the major axis
- drawAxis(AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
Draw the major axis
- drawAxis(AxisConfig<float[]>) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- drawAxisLabel(AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer
-
Draw the axis label
- drawAxisLabel(AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
Draw the axis label
- drawAxisLabel(AxisConfig<float[]>) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- drawBoxes(MBFImage, double[][]) - Method in class org.openimaj.video.processing.shotdetector.LocalHistogramVideoShotDetector
-
Draws the boxes to show movements.
- drawCenter(T) - Method in class org.openimaj.image.feature.local.interest.InterestPointVisualiser
-
- drawCenter(T) - Method in class org.openimaj.image.feature.local.keypoints.KeypointVisualizer
-
Draw the centre point of the keypoints on an image
- drawChart(AudioStream...) - Static method in class org.openimaj.vis.audio.AudioFramePlot
-
Draws the first 3 frames of the audio stream on to a chart.
- drawChart(int, AudioStream...) - Static method in class org.openimaj.vis.audio.AudioFramePlot
-
Draws the first n frames of the audio stream on to a chart.
- drawChart(int, boolean, AudioStream...) - Static method in class org.openimaj.vis.audio.AudioFramePlot
-
Draws the first n frames of the audio stream on to a chart.
- drawChart(int, boolean, List<IndependentPair<AudioStream, String>>) - Static method in class org.openimaj.vis.audio.AudioFramePlot
-
Draws the first n frames of the audio streams on to a chart mapping the names given
to each stream into the legend.
- drawChessboardCorners(MBFImage) - Method in class org.openimaj.image.camera.calibration.ChessboardCornerFinder
-
- drawChessboardCorners(MBFImage, int, int, List<? extends Point2d>, boolean) - Static method in class org.openimaj.image.camera.calibration.ChessboardCornerFinder
-
Draw the given chessboard corners from on the given image.
- drawConnectedPoints(List<? extends Point2d>, Q) - Method in class org.openimaj.image.Image
-
Draw onto this image lines drawn with the given colour between the points
given.
- drawConnectedPoints(List<? extends Point2d>, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw onto this image lines drawn with the given colour between the points
given.
- drawContours(MBFImage, Contour) - Static method in class org.openimaj.image.contour.ContourRenderer
-
Utility function to quickly draw the contour to the image.
- drawContours(Contour) - Method in class org.openimaj.image.contour.ContourRenderer
-
Draw the given contour.
- drawCubicBezier(Point2d, Point2d, Point2d, Point2d, int, Q) - Method in class org.openimaj.image.Image
-
Draw a cubic Bezier curve into the image with 100 point accuracy.
- drawCubicBezier(Point2d, Point2d, Point2d, Point2d, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a cubic Bezier curve into the image with 100 point accuracy.
- drawDescriptor(float[], int, int, int) - Static method in class org.openimaj.image.feature.local.aggregate.VLAD
-
Generate a visualisation of the feature.
- drawDetectedFace(MBFImage, int, CLMDetectedFace) - Method in class org.openimaj.image.processing.face.util.CLMDetectedFaceRenderer
-
- drawDetectedFace(MBFImage, MultiTracker.TrackedFace) - Method in class org.openimaj.image.processing.face.util.CLMDetectedFaceRenderer
-
- drawDetectedFace(MBFImage, int, DETECTED_FACE) - Method in interface org.openimaj.image.processing.face.util.DetectedFaceRenderer
-
- drawDetectedFace(MBFImage, int, KEDetectedFace) - Method in class org.openimaj.image.processing.face.util.KEDetectedFaceRenderer
-
- drawDetectedFace(MBFImage, int, DetectedFace) - Method in class org.openimaj.image.processing.face.util.SimpleDetectedFaceRenderer
-
- drawFaceModel(MBFImage, MultiTracker.TrackedFace, boolean, boolean, boolean, boolean, boolean, int[][], int[][], float, Float[], Float[], Float[], Float[]) - Static method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Draw onto the given image, the given face model.
- drawFeatures(FImage) - Method in class org.openimaj.video.tracking.klt.FeatureList
-
KLTWriteFeatureListToPPM
- drawFeatures(MBFImage) - Method in class org.openimaj.video.tracking.klt.FeatureList
-
KLTWriteFeatureListToPPM
- drawHorizLine(int, int, int, Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
- drawHorizLine(int, int, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a horizontal line with the specified colour.
- drawHorizLine(int, int, int, Float[]) - Method in class org.openimaj.image.renderer.MBFImageRenderer
-
- drawHorizLine(int, int, int, Float[]) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawImage(I, int, int) - Method in class org.openimaj.image.Image
-
Draw into this image the provided image at the given coordinates.
- drawImage(I, Point2d) - Method in class org.openimaj.image.Image
-
Draw into this image the provided image at the given coordinates.
- drawImage(I, int, int, Q...) - Method in class org.openimaj.image.Image
-
Draw into this image the provided image at the given coordinates ignoring
certain pixels.
- drawImage(I, int, int) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw into this image the provided image at the given coordinates.
- drawImage(I, int, int, Q...) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw into this image the provided image at the given coordinates ignoring
certain pixels.
- drawImage(MBFImage, int, int) - Method in class org.openimaj.image.renderer.MBFImageRenderer
-
Draw the provided image at the given coordinates.
- drawImage(S, int, int) - Method in class org.openimaj.image.renderer.MultiBandRenderer
-
Draws the given single band image onto each band at the given position.
- drawImage(S, int, int, int) - Method in class org.openimaj.image.renderer.MultiBandRenderer
-
Draws the given single band image onto the specific band at the given
position.
- drawImage(SVGImage, int, int) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawImage3(MBFImage, int, int) - Method in class org.openimaj.image.renderer.MBFImageRenderer
-
- drawingAlgorithm - Variable in class org.openimaj.image.renderer.RenderHints
-
- DrawingTest - Class in org.openimaj.image.objectdetection.haar.training
-
- DrawingTest() - Constructor for class org.openimaj.image.objectdetection.haar.training.DrawingTest
-
- drawLine(int, int, double, int, int, Q) - Method in class org.openimaj.image.Image
-
Draw a line from the coordinates specified by (x1,y1)
at an
angle of theta
with the given length, thickness and colour.
- drawLine(int, int, double, int, Q) - Method in class org.openimaj.image.Image
-
Draw a line from the coordinates specified by (x1,y1)
at an
angle of theta
with the given length and colour.
- drawLine(int, int, int, int, int, Q) - Method in class org.openimaj.image.Image
-
Draw a line from the coordinates specified by (x0,y0)
to the
coordinates specified by (x1,y1)
using the given color and
thickness.
- drawLine(int, int, int, int, Q) - Method in class org.openimaj.image.Image
-
Draw a line from the coordinates specified by (x0,y0)
to
(x1,y1)
using the given colour.
- drawLine(Point2d, Point2d, Q) - Method in class org.openimaj.image.Image
-
Draw a line from the coordinates specified using the given colour.
- drawLine(Point2d, Point2d, int, Q) - Method in class org.openimaj.image.Image
-
Draw a line from the coordinates specified using the given colour and
thickness.
- drawLine(Path2d, int, Q) - Method in class org.openimaj.image.Image
-
Draw a line from the specified Path2d object
- drawLine(int, int, double, int, int, Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
Draw a line from the coordinates specified by (x1,y1)
at an
angle of theta
with the given length, thickness and colour.
- drawLine(int, int, int, int, int, Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
Draw a line from the coordinates specified by (x0,y0)
to the
coordinates specified by (x1,y1)
using the given color and
thickness.
- drawLine(float, float, float, float, int, Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
- drawLine(int, int, double, int, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a line from the coordinates specified by (x1,y1)
at an
angle of theta
with the given length, thickness and colour.
- drawLine(int, int, double, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a line from the coordinates specified by (x1,y1)
at an
angle of theta
with the given length and colour.
- drawLine(int, int, int, int, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a line from the coordinates specified by (x0,y0)
to the
coordinates specified by (x1,y1)
using the given color and
thickness.
- drawLine(float, float, float, float, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a line from the coordinates specified by (x0,y0)
to the
coordinates specified by (x1,y1)
using the given color and
thickness.
- drawLine(int, int, int, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a line from the coordinates specified by (x0,y0)
to
(x1,y1)
using the given colour.
- drawLine(Point2d, Point2d, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a line from the coordinates specified by (x0,y0)
to
(x1,y1)
using the given colour.
- drawLine(Point2d, Point2d, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a line from the coordinates specified by (x0,y0)
to
(x1,y1)
using the given colour and thickness.
- drawLine(Path2d, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a line from the specified
Path2d
object
- drawLine(int, int, double, int, int, T[]) - Method in class org.openimaj.image.renderer.MultiBandRenderer
-
Draw a line from the coordinates specified by (x1,y1)
at an
angle of theta
with the given length, thickness and colour.
- drawLine(int, int, int, int, int, T[]) - Method in class org.openimaj.image.renderer.MultiBandRenderer
-
Draw a line from the coordinates specified by (x0,y0)
to the
coordinates specified by (x1,y1)
using the given color and
thickness.
- drawLine(float, float, float, float, int, T[]) - Method in class org.openimaj.image.renderer.MultiBandRenderer
-
Draw a line from the coordinates specified by (x0,y0)
to the
coordinates specified by (x1,y1)
using the given color and
thickness.
- drawLine(int, int, double, int, int, Float[]) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawLine(int, int, int, int, int, Float[]) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawLine(float, float, float, float, int, Float[]) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawLineBresenham(int, int, int, int, int, Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
- drawLines(Iterable<? extends Path2d>, int, Q) - Method in class org.openimaj.image.Image
-
- drawLines(Iterable<? extends Path2d>, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
- drawLineXiaolinWu(float, float, float, float, Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
- drawMajorTick(double, AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer
-
Draw a tick on the axis at the given location
- drawMajorTick(double, AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
Draw a tick on the axis at the given location
- drawMajorTick(double, AxisConfig<float[]>) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- drawMajorTickGridline(double, AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer
-
Draw a major grid line on the vis
- drawMajorTickGridline(double, AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
Draw a major grid line on the vis
- drawMajorTickGridline(double, AxisConfig<float[]>) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- drawMarker(Timeline.TimelineMarker, MBFImage, int, int) - Method in enum org.openimaj.vis.timeline.Timeline.TimelineMarkerType
-
Draws this marker into the given graphics context at the given
position and with the given length.
- drawMatches(I, I, List<? extends Pair<? extends Point2d>>, T) - Static method in class org.openimaj.feature.local.matcher.MatchingUtilities
-
Draw matches between two images in the given colour.
- drawMatches(I, I, List<? extends Pair<? extends Point2d>>, T, List<? extends Pair<? extends Point2d>>, T) - Static method in class org.openimaj.feature.local.matcher.MatchingUtilities
-
Draw two sets of matches between two images in the given colours.
- drawMatches(I, List<IndependentPair<Point2d, Point2d>>, T) - Static method in class org.openimaj.feature.local.matcher.MatchingUtilities
-
Draw matches between two images in the given colour.
- drawMinorTick(double, AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer
-
Draw a minor tick on the axis
- drawMinorTick(double, AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
Draw a minor tick on the axis
- drawMinorTick(double, AxisConfig<float[]>) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- drawMinorTickGridline(double, AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer
-
Draw a minor grid on the vis
- drawMinorTickGridline(double, AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
Draw a minor grid on the vis
- drawMinorTickGridline(double, AxisConfig<float[]>) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- drawModel(MBFImage, boolean, boolean, boolean, boolean, boolean) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Draw the model onto the image
- drawOIImage(Image<?, ?>) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawPatches(T, T) - Method in class org.openimaj.image.feature.local.interest.InterestPointVisualiser
-
Draw the interest points, a central dot for in the pointCol and a bordered area of interest by borderCol.
- drawPatches(T, T) - Method in class org.openimaj.image.feature.local.keypoints.KeypointVisualizer
-
Draw the sampling boxes on an image.
- drawPatchesInplace(Q, List<? extends Keypoint>, T, T) - Static method in class org.openimaj.image.feature.local.keypoints.KeypointVisualizer
-
Draw the SIFT features onto an image.
- drawPath(Path2d, int, Q) - Method in class org.openimaj.image.Image
-
Draw a line from the specified Path2d object
- drawPath(Path2d, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a path from the specified
Path2d
object
- drawPaths(Iterable<? extends Path2d>, int, Q) - Method in class org.openimaj.image.Image
-
- drawPaths(Iterable<? extends Path2d>, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
- drawPoint(Point2d, Q, int) - Method in class org.openimaj.image.Image
-
Draw a dot centered on the given location (rounded to nearest integer
location) at the given size and with the given color.
- drawPoint(Point2d, Float, int) - Method in class org.openimaj.image.renderer.FImageRenderer
-
Draw a dot centered on the given location (rounded to nearest integer
location) at the given size and with the given color.
- drawPoint(Point2d, Q, int) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a dot centered on the given location (rounded to nearest integer
location) at the given size and with the given color.
- drawPoint(Point2d, T[], int) - Method in class org.openimaj.image.renderer.MultiBandRenderer
-
Draw a dot centered on the given location (rounded to nearest integer
location) at the given size and with the given color.
- drawPoint(Point2d, Float[], int) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawPoints(Iterable<? extends Point2d>, Q, int) - Method in class org.openimaj.image.Image
-
- drawPoints(Iterable<? extends Point2d>, Q, int) - Method in class org.openimaj.image.renderer.ImageRenderer
-
- drawPolygon(Polygon, int, Q) - Method in class org.openimaj.image.Image
-
Draw the given polygon in the specified colour with the given thickness
lines.
- drawPolygon(Polygon, Q) - Method in class org.openimaj.image.Image
-
Draw the given polygon in the specified colour.
- drawPolygon(Polygon, int, Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
Draw the given polygon in the specified colour with the given thickness
lines.
- drawPolygon(Polygon, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw the given polygon in the specified colour with the given thickness
lines.
- drawPolygon(Polygon, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw the given polygon in the specified colour.
- drawPolygon(Polygon, int, T[]) - Method in class org.openimaj.image.renderer.MultiBandRenderer
-
Draw the given polygon in the specified colour with the given thickness
lines.
- drawPolygon(Polygon, int, Float[]) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawPolygonFilled(Polygon, Q) - Method in class org.openimaj.image.Image
-
Draw the given polygon, filled with the specified colour.
- drawPolygonFilled(Polygon, Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
- drawPolygonFilled(Polygon, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw the given polygon, filled with the specified colour.
- drawPolygonFilled(Polygon, Float[]) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawQuadBezier(Point2d, Point2d, Point2d, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw a Quadratic Bezier curve
- drawRects(WeightedRectangle[]) - Static method in class org.openimaj.image.objectdetection.haar.training.DrawingTest
-
- drawRects(WeightedRectangle[], FImage) - Static method in class org.openimaj.image.objectdetection.haar.training.DrawingTest
-
- drawSea(MBFImage) - Method in class org.openimaj.vis.world.WorldMap
-
Fill the image with the sea's colour.
- drawShape(Shape, int, Q) - Method in class org.openimaj.image.Image
-
Draw the given shape in the specified colour with the given thickness
lines.
- drawShape(Shape, Q) - Method in class org.openimaj.image.Image
-
Draw the given shape in the specified colour.
- drawShape(Shape, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw the given shape in the specified colour with the given thickness
lines.
- drawShape(Shape, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw the given shape in the specified colour.
- drawShapeFilled(Shape, Q) - Method in class org.openimaj.image.Image
-
Draw the given shape, filled with the specified colour.
- drawShapeFilled(Shape, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Draw the given shape, filled with the specified colour.
- drawShapeFilled(Shape, Float[]) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- drawText(AttributedString, int, int) - Method in class org.openimaj.image.Image
-
Render the text using its attributes.
- drawText(AttributedString, Point2d) - Method in class org.openimaj.image.Image
-
Render the text using its attributes.
- drawText(String, int, int, F, int) - Method in class org.openimaj.image.Image
-
Render the text in the given font with the default style.
- drawText(String, int, int, F, int, Q) - Method in class org.openimaj.image.Image
-
Render the text in the given font in the given colour with the default
style.
- drawText(String, int, int, FontStyle<Q>) - Method in class org.openimaj.image.Image
-
- drawText(String, Point2d, F, int) - Method in class org.openimaj.image.Image
-
Render the text in the given font with the default style.
- drawText(String, Point2d, F, int, Q) - Method in class org.openimaj.image.Image
-
Render the text in the given font in the given colour with the default
style.
- drawText(String, Point2d, FontStyle<Q>) - Method in class org.openimaj.image.Image
-
- drawText(String, int, int, F, int) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Render the text in the given font with the default style.
- drawText(String, int, int, F, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Render the text in the given font in the given colour with the default
style.
- drawText(String, Point2d, F, int) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Render the text in the given font with the default style.
- drawText(String, Point2d, F, int, Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Render the text in the given font in the given colour with the default
style.
- drawText(String, int, int, FontStyle<Q>) - Method in class org.openimaj.image.renderer.ImageRenderer
-
- drawText(String, Point2d, FontStyle<Q>) - Method in class org.openimaj.image.renderer.ImageRenderer
-
- drawText(AttributedString, int, int) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Render the text using its attributes.
- drawText(AttributedString, Point2d) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Render the text using its attributes.
- drawTriangles() - Method in class org.openimaj.vis.ternary.TernaryPlot
-
- drawWaveform(SampleBuffer) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Draw the given sample chunk into an image and returns that image.
- dropCount() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- dropCount() - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Returns the total number of items that have been dropped by this
BlockingDroppingQueue
to make space for new elements within its
lifetime.
- DSiftFeatureExtractor - Class in org.openimaj.experiment.gmm.retrieval
-
- DSiftFeatureExtractor() - Constructor for class org.openimaj.experiment.gmm.retrieval.DSiftFeatureExtractor
-
- DT1D(float[], float[], int[], int[], float[]) - Static method in class org.openimaj.image.analysis.algorithm.EuclideanDistanceTransform
-
- DTConsistency - Class in org.openimaj.demos
-
- DTConsistency() - Constructor for class org.openimaj.demos.DTConsistency
-
- DTConsistency.DTConsistencyInfo - Class in org.openimaj.demos
-
- DTConsistencyInfo() - Constructor for class org.openimaj.demos.DTConsistency.DTConsistencyInfo
-
- DualEntry() - Constructor for class org.openimaj.util.array.SparseByteArray.DualEntry
-
- DualEntry() - Constructor for class org.openimaj.util.array.SparseDoubleArray.DualEntry
-
- DualEntry() - Constructor for class org.openimaj.util.array.SparseFloatArray.DualEntry
-
- DualEntry() - Constructor for class org.openimaj.util.array.SparseIntArray.DualEntry
-
- DualEntry() - Constructor for class org.openimaj.util.array.SparseLongArray.DualEntry
-
- DualEntry() - Constructor for class org.openimaj.util.array.SparseShortArray.DualEntry
-
- DummyExtractor - Class in org.openimaj.ml.clustering.spectral
-
- DummyExtractor() - Constructor for class org.openimaj.ml.clustering.spectral.DummyExtractor
-
- DummyOscillator() - Constructor for class org.openimaj.audio.generation.Oscillator.DummyOscillator
-
- dumpValue(T, V) - Method in class org.openimaj.hadoop.sequencefile.KeyValueDump
-
- DupsEdgeFilter - Class in org.openimaj.hadoop.tools.image.indexing
-
- DupsEdgeFilter() - Constructor for class org.openimaj.hadoop.tools.image.indexing.DupsEdgeFilter
-
- duration() - Method in class org.openimaj.time.NanoTimer
-
Get the duration of the timer in nanoseconds.
- duration() - Method in class org.openimaj.time.Timer
-
Get the duration of the timer in milliseconds.
- duration - Variable in class org.openimaj.twitter.USMFStatus
-
Duration of content (if video)
- dx() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dx(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dx - Variable in class org.openimaj.image.processing.convolution.FSobel
-
The X gradients
- dx - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Change in x for a unit y increase
- dx - Variable in class org.openimaj.math.geometry.shape.util.polygon.StNode
-
Change in x for a unit y increase
- dx_beta_inc() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dx_beta_inc(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dx_beta_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dx_beta_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dx_center() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dx_center(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- DX_KERNEL - Static variable in class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
kernel approximating the first derivative of a low-sigma gaussian in the x-direction [-0.5, 0, 0.5].
- dx_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dx_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dxdx_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dxdx_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dxdxdx_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dxdxdx_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dxdxdy_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dxdxdy_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dxdy_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dxdy_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- DXX_KERNEL - Static variable in class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
kernel approximating the second derivative of a low sigma gaussian in the x-direction [1, -2, 1].
- DXXXX_KERNEL - Static variable in class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
kernel approximating the fourth derivative of a low sigma gaussian in the x-direction [1,-4,6,-4,1]^T
Useful for giving an estimate of the fourth derivative in y of any given point
- DXXYY_KERNEL - Static variable in class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
kernel approximating the second derivative of a low sigma gaussian in the x-direction and y-direction [[1,-2,1],[-2,4,-2],[1,-2,1]] .
- DXY_KERNEL - Static variable in class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
kernel approximating the first derivative of a low sigma gaussian in the x-direction and y-direction [[-0.25, 0, 0.25], [0, 0, 0], [0.25, 0, -0.25]] .
- dy() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dy(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dy - Variable in class org.openimaj.image.processing.convolution.FSobel
-
The Y gradients
- dy_beta_inc() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dy_beta_inc(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dy_beta_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dy_beta_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- DY_KERNEL - Static variable in class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
kernel approximating the first derivative of a low-sigma gaussian in the y-direction [-0.5, 0, 0.5]'.
- dy_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dy_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydx_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydx_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydxdx_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydxdx_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydxdy_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydxdy_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydy_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydy_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydydx_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydydx_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydydy_start() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- dydydy_start(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- DYY_KERNEL - Static variable in class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
kernel approximating the second derivative of a low sigma gaussian in the y-direction [1, -2, 1]'.
- DYYYY_KERNEL - Static variable in class org.openimaj.image.processing.convolution.BasicDerivativeKernels
-
kernel approximating the fourth derivative of a low sigma gaussian in the y-direction [1,-4,6,-4,1]^T
Useful for giving an estimate of the fourth derivative in y of any given point
- f - Variable in class org.kohsuke.args4j.spi.AbstractGetter
-
- F12Epipolar(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Constructor for class org.openimaj.math.geometry.transforms.FundamentalRefinement.F12Epipolar
-
- F12Sampson(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Constructor for class org.openimaj.math.geometry.transforms.FundamentalRefinement.F12Sampson
-
- F13Epipolar(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Constructor for class org.openimaj.math.geometry.transforms.FundamentalRefinement.F13Epipolar
-
- F13Sampson(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Constructor for class org.openimaj.math.geometry.transforms.FundamentalRefinement.F13Sampson
-
- F23Epipolar(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Constructor for class org.openimaj.math.geometry.transforms.FundamentalRefinement.F23Epipolar
-
- F23Sampson(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Constructor for class org.openimaj.math.geometry.transforms.FundamentalRefinement.F23Sampson
-
- FaceAligner<T extends DetectedFace> - Interface in org.openimaj.image.processing.face.alignment
-
A FaceAligner produces aligned face patches (i.e.
- FacebookConsumer - Class in org.openimaj.web.scraping.images
-
Consume facebook posts/pictures using the com.restfb.FacebookClient
client
- FacebookConsumer() - Constructor for class org.openimaj.web.scraping.images.FacebookConsumer
-
- faceDetector - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
The Face detector
- FaceDetector<T extends DetectedFace,I extends Image<?,I>> - Interface in org.openimaj.image.processing.face.detection
-
Interfaces for classes that are capable of detecting faces.
- faceDetector - Variable in class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
- faceDetector - Variable in class org.openimaj.image.processing.face.recognition.benchmarking.CrossValidationBenchmark
-
- faceDetector - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackerVars
-
The Face detector
- FaceDetectorFeatures - Enum in org.openimaj.image.processing.face.detection
-
Simple features that can be extracted from a list of detected faces and an
image.
- FaceDetectors - Class in org.openimaj.tools.faces.recognition.options
-
Face detector configuration for the tools
- FaceDetectors() - Constructor for class org.openimaj.tools.faces.recognition.options.FaceDetectors
-
- FaceDetectors.AnyBasicFImageDetector - Enum in org.openimaj.tools.faces.recognition.options
-
Any type of basic
FImage
detector.
- FaceDetectors.FaceDetectorProvider<FACE extends DetectedFace,IMAGE extends Image<?,IMAGE>> - Interface in org.openimaj.tools.faces.recognition.options
-
- FaceDetectorTool - Class in org.openimaj.tools.faces
-
A command-line tool that displays the bounding boxes of detected
faces in the input image(s).
- FaceDetectorTool() - Constructor for class org.openimaj.tools.faces.FaceDetectorTool
-
- FaceDetectorToolOptions - Class in org.openimaj.tools.faces
-
Options specific to the face detector tool.
- FaceDetectorToolOptions() - Constructor for class org.openimaj.tools.faces.FaceDetectorToolOptions
-
- FaceExtractorTool - Class in org.openimaj.tools.faces.extraction
-
A tool that provides a means of extracting faces from videos and images.
- FaceExtractorTool(FaceExtractorToolOptions) - Constructor for class org.openimaj.tools.faces.extraction.FaceExtractorTool
-
Default constructor
- FaceExtractorToolOptions - Class in org.openimaj.tools.faces.extraction
-
Command-line option class for the face extractor tool.
- FaceExtractorToolOptions() - Constructor for class org.openimaj.tools.faces.extraction.FaceExtractorToolOptions
-
- FaceFVComparator<T extends FacialFeature & FeatureVectorProvider<Q>,Q extends FeatureVector> - Class in org.openimaj.image.processing.face.feature.comparison
-
- FaceFVComparator(FVComparator<Q>) - Constructor for class org.openimaj.image.processing.face.feature.comparison.FaceFVComparator
-
- FaceImageFeature - Class in org.openimaj.image.processing.face.feature
-
A
FacialFeature
that is just the pixel values
of a (possibly aligned) face detection.
- FaceImageFeature(FloatFV) - Constructor for class org.openimaj.image.processing.face.feature.FaceImageFeature
-
Construct with the given feature
- FaceImageFeature.Extractor<T extends DetectedFace> - Class in org.openimaj.image.processing.face.feature
-
- faceParts - Variable in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
- facePatch - Variable in class org.openimaj.image.processing.face.detection.DetectedFace
-
The extracted sub-image representing the face.
- FacePatchFeature - Class in org.openimaj.image.processing.face.feature
-
A
FacialFeature
that is built by concatenating each of the normalised
facial part patches from a detected face.
- FacePatchFeature() - Constructor for class org.openimaj.image.processing.face.feature.FacePatchFeature
-
Default constructor.
- FacePatchFeature.DetectedFacePart - Class in org.openimaj.image.processing.face.feature
-
- FacePatchFeature.Extractor - Class in org.openimaj.image.processing.face.feature
-
- FaceRecogniser<FACE extends DetectedFace,PERSON> - Class in org.openimaj.image.processing.face.recognition
-
Base class for all Face Recognisers.
- FaceRecogniser() - Constructor for class org.openimaj.image.processing.face.recognition.FaceRecogniser
-
- FaceRecogniserProvider<FACE extends DetectedFace,PERSON> - Interface in org.openimaj.image.processing.face.recognition.benchmarking
-
- FaceRecogniserTrainingTool<T extends DetectedFace> - Class in org.openimaj.tools.faces.recognition
-
A tool for training face recognisers
- FaceRecogniserTrainingTool() - Constructor for class org.openimaj.tools.faces.recognition.FaceRecogniserTrainingTool
-
- FaceRecognitionCrossValidatorTool<FACE extends DetectedFace> - Class in org.openimaj.tools.faces.recognition
-
A command line tool for performing cross-validation experiments for face
recognition or classification.
- FaceRecognitionCrossValidatorTool() - Constructor for class org.openimaj.tools.faces.recognition.FaceRecognitionCrossValidatorTool
-
- FaceRecognitionEngine<FACE extends DetectedFace,PERSON> - Class in org.openimaj.image.processing.face.recognition
-
- FaceRecognitionEngine() - Constructor for class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- FaceRecognitionEngine(FaceDetector<FACE, FImage>, FaceRecogniser<FACE, PERSON>) - Constructor for class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- FaceRecognitionInfoTool - Class in org.openimaj.tools.faces.recognition
-
A tool for printing out information about face recognisers.
- FaceRecognitionInfoTool() - Constructor for class org.openimaj.tools.faces.recognition.FaceRecognitionInfoTool
-
- FaceRecognitionTool - Class in org.openimaj.tools.faces.recognition
-
A tool for using pre-trained face recognisers
- FaceRecognitionTool() - Constructor for class org.openimaj.tools.faces.recognition.FaceRecognitionTool
-
- faces() - Method in class org.openimaj.processing.OpenIMAJ
-
- FaceSimilarityEngine<D extends DetectedFace,F extends FacialFeature,I extends Image<?,I>> - Class in org.openimaj.image.processing.face.similarity
-
- FaceSimilarityEngine(FaceDetector<D, I>, FacialFeatureExtractor<F, D>, FacialFeatureComparator<F>) - Constructor for class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
- FaceSimilarityTool - Class in org.openimaj.tools.faces
-
Face similarity tool compares the faces in all given images and gives a score
for each comparison.
- FaceSimilarityTool() - Constructor for class org.openimaj.tools.faces.FaceSimilarityTool
-
- FaceSimilarityTool.ImageGetter<T> - Interface in org.openimaj.tools.faces
-
An interface to get images and names from a list of things.
- FaceSimilarityToolOptions - Class in org.openimaj.tools.faces
-
- FaceSimilarityToolOptions() - Constructor for class org.openimaj.tools.faces.FaceSimilarityToolOptions
-
- faceSize - Variable in class org.openimaj.tools.faces.extraction.FaceExtractorToolOptions
-
The minimum face size for the face detector
- FaceToolOptions - Class in org.openimaj.tools.faces
-
- FaceToolOptions() - Constructor for class org.openimaj.tools.faces.FaceToolOptions
-
- FaceTracker<I extends Image<?,I>> - Interface in org.openimaj.image.processing.face.tracking
-
An interface for classes that are able to track faces within images.
- FacialFeature - Interface in org.openimaj.image.processing.face.feature
-
A FacialFeature is a feature describing a face that has
been detected.
- FacialFeatureComparator<T extends FacialFeature> - Interface in org.openimaj.image.processing.face.feature.comparison
-
Interface for classes capable of comparing two
FacialFeature
s
and producing a score.
- FacialFeatureExtractor<T extends FacialFeature,Q extends DetectedFace> - Interface in org.openimaj.image.processing.face.feature
-
- FacialKeypoint - Class in org.openimaj.image.processing.face.detection.keypoints
-
- FacialKeypoint() - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint
-
Default constructor.
- FacialKeypoint(FacialKeypoint.FacialKeypointType) - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint
-
Construct a FacialKeypoint at the origin with the specified type.
- FacialKeypoint(FacialKeypoint.FacialKeypointType, Point2d) - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint
-
Construct a FacialKeypoint with the specified type and position.
- FacialKeypoint.FacialKeypointType - Enum in org.openimaj.image.processing.face.detection.keypoints
-
- FacialKeypointExtractor - Class in org.openimaj.image.processing.face.detection.keypoints
-
A class capable of finding likely facial keypoints using
a masked Haar cascade for each keypoint, and then picking
the best combination of points based on a model.
- FacialKeypointExtractor() - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FacialKeypointExtractor
-
Construct a new facial keypoint extractor.
- facialKeypointExtractor - Variable in class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
- factObjectsQuery(String, String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- factor(DenseMatrix) - Method in class no.uib.cipr.matrix.EconomySVD
-
Computes an SVD
- factorize(Matrix) - Static method in class no.uib.cipr.matrix.EconomySVD
-
Convenience method for computing a full SVD
- Factory(TAsyncClientManager, TProtocolFactory) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.Factory
-
- Factory() - Constructor for class net.lag.kestrel.thrift.Kestrel.Client.Factory
-
- Factory(PointListConnections, FLineSampler, int, int, float) - Constructor for class org.openimaj.image.model.landmark.FNormalLandmarkModel.Factory
-
Default constructor.
- Factory() - Constructor for class org.openimaj.image.model.landmark.FPatchLandmarkModel.Factory
-
- Factory() - Constructor for class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree.Factory
-
Construct the factory the default number of trees and checks.
- Factory(int, int) - Constructor for class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree.Factory
-
Construct the factory the given number of trees and checks.
- Factory() - Constructor for class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree.Factory
-
Construct the factory the default number of trees and checks.
- Factory(int, int) - Constructor for class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree.Factory
-
Construct the factory the given number of trees and checks.
- Factory() - Constructor for class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree.Factory
-
Construct the factory the default number of trees and checks.
- Factory(int, int) - Constructor for class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree.Factory
-
Construct the factory the given number of trees and checks.
- Factory() - Constructor for class org.openimaj.knn.approximate.IntNearestNeighboursKDTree.Factory
-
Construct the factory the default number of trees and checks.
- Factory(int, int) - Constructor for class org.openimaj.knn.approximate.IntNearestNeighboursKDTree.Factory
-
Construct the factory the given number of trees and checks.
- Factory() - Constructor for class org.openimaj.knn.approximate.LongNearestNeighboursKDTree.Factory
-
Construct the factory the default number of trees and checks.
- Factory(int, int) - Constructor for class org.openimaj.knn.approximate.LongNearestNeighboursKDTree.Factory
-
Construct the factory the given number of trees and checks.
- Factory() - Constructor for class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree.Factory
-
Construct the factory the default number of trees and checks.
- Factory(int, int) - Constructor for class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree.Factory
-
Construct the factory the given number of trees and checks.
- Factory() - Constructor for class org.openimaj.knn.ByteNearestNeighboursExact.Factory
-
Construct the factory using Euclidean distance for the
produced ByteNearestNeighbours instances.
- Factory(ByteFVComparator) - Constructor for class org.openimaj.knn.ByteNearestNeighboursExact.Factory
-
Construct the factory with the given distance function
for the produced ByteNearestNeighbours instances.
- Factory() - Constructor for class org.openimaj.knn.DoubleNearestNeighboursExact.Factory
-
Construct the factory using Euclidean distance for the
produced DoubleNearestNeighbours instances.
- Factory(DoubleFVComparator) - Constructor for class org.openimaj.knn.DoubleNearestNeighboursExact.Factory
-
Construct the factory with the given distance function
for the produced DoubleNearestNeighbours instances.
- Factory() - Constructor for class org.openimaj.knn.FloatNearestNeighboursExact.Factory
-
Construct the factory using Euclidean distance for the
produced FloatNearestNeighbours instances.
- Factory(FloatFVComparator) - Constructor for class org.openimaj.knn.FloatNearestNeighboursExact.Factory
-
Construct the factory with the given distance function
for the produced FloatNearestNeighbours instances.
- Factory() - Constructor for class org.openimaj.knn.IntNearestNeighboursExact.Factory
-
Construct the factory using Euclidean distance for the
produced IntNearestNeighbours instances.
- Factory(IntFVComparator) - Constructor for class org.openimaj.knn.IntNearestNeighboursExact.Factory
-
Construct the factory with the given distance function
for the produced IntNearestNeighbours instances.
- Factory() - Constructor for class org.openimaj.knn.LongNearestNeighboursExact.Factory
-
Construct the factory using Euclidean distance for the
produced LongNearestNeighbours instances.
- Factory(LongFVComparator) - Constructor for class org.openimaj.knn.LongNearestNeighboursExact.Factory
-
Construct the factory with the given distance function
for the produced LongNearestNeighbours instances.
- Factory(DistanceComparator<? super T>) - Constructor for class org.openimaj.knn.ObjectNearestNeighboursExact.Factory
-
Construct the factory with the given distance function for the
produced ObjectNearestNeighbours instances.
- Factory() - Constructor for class org.openimaj.knn.ShortNearestNeighboursExact.Factory
-
Construct the factory using Euclidean distance for the
produced ShortNearestNeighbours instances.
- Factory(ShortFVComparator) - Constructor for class org.openimaj.knn.ShortNearestNeighboursExact.Factory
-
Construct the factory with the given distance function
for the produced ShortNearestNeighbours instances.
- factory - Variable in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
- factSubjectsQuery(String, String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- FadeShotBoundary<T extends Image<?,T>> - Class in org.openimaj.video.processing.shotdetector
-
Represents a shot boundary that is a fade shot boundary between
two scenes.
- FadeShotBoundary(ShotBoundary<T>) - Constructor for class org.openimaj.video.processing.shotdetector.FadeShotBoundary
-
Create a new fade shot boundary giving the start
of the fade as a starting point.
- fail(Object) - Method in class backtype.storm.spout.KestrelThriftSpout
-
- fail(Object) - Method in class backtype.storm.spout.UnreliableKestrelThriftSpout
-
- fail(Object) - Method in class org.openimaj.picslurper.LocalTweetSpout
-
- failed - Variable in class org.openimaj.time.Sequencer.SequencerEvent
-
Whether the event failed to fire
- failedURL(URL, String) - Method in interface org.openimaj.picslurper.output.OutputListener
-
Called for every URL that is a failure
- failedURL(URL, String) - Method in class org.openimaj.picslurper.output.TrendDetectionOutputListener
-
- failedURL(URL, String) - Method in class org.openimaj.picslurper.output.ZMQOutputListener
-
- FailEveryOther() - Constructor for class backtype.storm.spout.TestTopology.FailEveryOther
-
- failureCheck - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
The failure checker
- failureCheck - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackerVars
-
The failure checker
- failureStage() - Method in class org.openimaj.image.objectdetection.haar.Stage
-
Get the next stage to evaluate should this one fail; if this stage fails
and this is
null
then the whole
StageTreeClassifier
fails.
- familiarityWithCategory - Variable in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Response
-
How familiar is the responder with the category
- FAST - Static variable in class org.openimaj.image.renderer.RenderHints
-
Fast drawing
- FastBasicKeypointMatcher<T extends Keypoint> - Class in org.openimaj.feature.local.matcher
-
Basic keypoint matcher.
- FastBasicKeypointMatcher() - Constructor for class org.openimaj.feature.local.matcher.FastBasicKeypointMatcher
-
Construct with a threshold of 8, corresponding to the 0.8 in Lowe's IJCV
paper
- FastBasicKeypointMatcher(int) - Constructor for class org.openimaj.feature.local.matcher.FastBasicKeypointMatcher
-
- FastChessboardDetector - Class in org.openimaj.image.camera.calibration
-
Analyser for performing a fast check to see if a chessboard is in the input
image.
- FastChessboardDetector(int, int) - Constructor for class org.openimaj.image.camera.calibration.FastChessboardDetector
-
* Construct with the given pattern size
- fastConvolve3(FImage, FImage, float[], float[], float[]) - Static method in class org.openimaj.image.processing.convolution.FImageConvolveSeparable
-
Fast convolution for separated 3x3 kernels.
- fastdot(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- FastEuclideanKeypointMatcher<T extends Keypoint> - Class in org.openimaj.feature.local.matcher
-
Uses a ByteKDTree to estimate approximate nearest neighbours more
efficiently.
- FastEuclideanKeypointMatcher(int) - Constructor for class org.openimaj.feature.local.matcher.FastEuclideanKeypointMatcher
-
- fastKNN(Collection<T>, Coordinate, int) - Method in class org.openimaj.knn.CoordinateKDTree
-
Faster implementation of K-nearest-neighbours.
- FastLimitedBasicKeypointMatcher<T extends Keypoint> - Class in org.openimaj.feature.local.matcher
-
Basic keypoint matcher.
- FastLimitedBasicKeypointMatcher(int, int) - Constructor for class org.openimaj.feature.local.matcher.FastLimitedBasicKeypointMatcher
-
- FastLimitedEuclideanKeypointMatcher<T extends Keypoint> - Class in org.openimaj.feature.local.matcher
-
Basic keypoint matcher.
- FastLimitedEuclideanKeypointMatcher(int) - Constructor for class org.openimaj.feature.local.matcher.FastLimitedEuclideanKeypointMatcher
-
Number of matches allowed
- fastminus(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- fastminusEquals(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- fastsetcol(Matrix, int, Vector) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- FastSolveNormal3x2() - Constructor for class org.openimaj.math.geometry.transforms.FundamentalRefinement.FastSolveNormal3x2
-
- fastsparsedot(SparseRowMatrix, SparseColumnMatrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- fastsparseminusEquals(SparseColumnMatrix, SparseColumnMatrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- fastsparseminusEquals(SparseRowMatrix, SparseRowMatrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- favorites - Variable in class org.openimaj.twitter.USMFStatus
-
Number of users who "favorited" this
- FBEigenIterator - Class in org.openimaj.ml.clustering.spectral
-
A forward or backward iterator of eigen vector/value pairs
- FBEigenIterator(Eigenvalues) - Constructor for class org.openimaj.ml.clustering.spectral.FBEigenIterator
-
- FBTest - Class in org.openimaj.demos
-
- FBTest() - Constructor for class org.openimaj.demos.FBTest
-
- FCheck - Class in com.jsaragih
-
Check whether a patch looks like a face by applying an SVM classifier
- FCheck() - Constructor for class com.jsaragih.FCheck
-
- fcheck - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
Whether to use the face check (using pixels as a face classifier)
- fcheck - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Whether to use the face check (using pixels as a face classifier)
- fcn - Variable in class org.openimaj.workinprogress.optimisation.SGD
-
- FConvolution - Class in org.openimaj.image.processing.convolution
-
Base class for implementation of classes that perform convolution operations
on
FImage
s as a @link{SinglebandImageProcessor}, with the kernel
itself formed from and @link{FImage}.
- FConvolution(FImage) - Constructor for class org.openimaj.image.processing.convolution.FConvolution
-
Construct the convolution operator with the given kernel
- FConvolution(float[][]) - Constructor for class org.openimaj.image.processing.convolution.FConvolution
-
Construct the convolution operator with the given kernel
- FDDBDataset - Class in org.openimaj.image.processing.face.detection.benchmarking
-
- FDDBDataset(File, File, boolean) - Constructor for class org.openimaj.image.processing.face.detection.benchmarking.FDDBDataset
-
- FDDBEvaluation - Class in org.openimaj.image.processing.face.detection.benchmarking
-
- FDDBEvaluation() - Constructor for class org.openimaj.image.processing.face.detection.benchmarking.FDDBEvaluation
-
- FDDBEvaluation.EvaluationDetector - Interface in org.openimaj.image.processing.face.detection.benchmarking
-
- FDDBRecord - Interface in org.openimaj.image.processing.face.detection.benchmarking
-
- FDet - Class in com.jsaragih
-
Face detector.
- FDiscGausConvolve - Class in org.openimaj.image.processing.convolution
-
From the matlab implementation of DISCGAUSSFFT which uses an FFT to apply a gaussian kernel.
- FDiscGausConvolve(float) - Constructor for class org.openimaj.image.processing.convolution.FDiscGausConvolve
-
Construct with given variance
- feats - Variable in class org.openimaj.ml.clustering.spectral.DoubleFVSimilarityFunction
-
- feature - Variable in class org.openimaj.feature.local.LocalFeatureImpl
-
- feature - Variable in class org.openimaj.hadoop.tools.globalfeature.HadoopGlobalFeaturesOptions
-
- feature - Variable in class org.openimaj.ml.clustering.rforest.RandomDecision
-
Feature index
- Feature - Class in org.openimaj.video.tracking.klt
-
A tracked feature
- Feature() - Constructor for class org.openimaj.video.tracking.klt.Feature
-
- FeatureCachingIncrementalBatchAnnotator<OBJECT,ANNOTATION,FEATURE> - Class in org.openimaj.ml.annotation
-
- FeatureCachingIncrementalBatchAnnotator(FeatureExtractor<FEATURE, OBJECT>, BatchAnnotator<FEATURE, ANNOTATION>) - Constructor for class org.openimaj.ml.annotation.FeatureCachingIncrementalBatchAnnotator
-
Construct with the given feature extractor and batch annotator, and use
an in-memory cache.
- FeatureCachingIncrementalBatchAnnotator(FeatureExtractor<FEATURE, OBJECT>, BatchAnnotator<FEATURE, ANNOTATION>, GroupedListCache<ANNOTATION, FEATURE>) - Constructor for class org.openimaj.ml.annotation.FeatureCachingIncrementalBatchAnnotator
-
Construct with the given feature extractor and batch annotator, and use
an in-memory cache.
- FeatureComparison - Enum in org.openimaj.tools.globalfeature
-
Feature similarity/distance measures
- FeatureCount - Class in org.openimaj.hadoop.tools.fastkmeans
-
Map Reduce job to count features
- FeatureCount() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.FeatureCount
-
- FeatureCount.Map - Class in org.openimaj.hadoop.tools.fastkmeans
-
Map class.
- FeatureCount.Reduce - Class in org.openimaj.hadoop.tools.fastkmeans
-
Reduce class.
- FeatureExtractionFunction<FEATURE,INPUT> - Class in org.openimaj.experiment.gmm.retrieval
-
- FeatureExtractionFunction(Function<INPUT, FEATURE>) - Constructor for class org.openimaj.experiment.gmm.retrieval.FeatureExtractionFunction
-
- featureExtractor - Variable in class org.openimaj.audio.features.JAudioFeatureExtractor
-
The jaudio feature extractor
- FeatureExtractor<FEATURE,OBJECT> - Interface in org.openimaj.feature
-
Interface for objects capable of extracting features from a
given object.
- featureExtractor - Variable in class org.openimaj.image.feature.local.detector.dog.collector.AbstractOctaveLocalFeatureCollector
-
- FeatureFile - Class in org.openimaj.tools.clusterquantiser
-
Interface defining accessors to a generic file containing
multiple local features.
- FeatureFile() - Constructor for class org.openimaj.tools.clusterquantiser.FeatureFile
-
- FeatureFileFeature - Class in org.openimaj.tools.clusterquantiser
-
A simple "local" feature with a location and a feature vector.
- FeatureFileFeature() - Constructor for class org.openimaj.tools.clusterquantiser.FeatureFileFeature
-
- FeatureHistory - Class in org.openimaj.video.tracking.klt
-
The history of a set of tracked features through time
- FeatureHistory(int) - Constructor for class org.openimaj.video.tracking.klt.FeatureHistory
-
Default constructor with given number of features
- FeatureList - Class in org.openimaj.video.tracking.klt
-
A list of features
- FeatureList(int) - Constructor for class org.openimaj.video.tracking.klt.FeatureList
-
KLTCreateFeatureList
- featureOp - Variable in class org.openimaj.hadoop.tools.globalfeature.HadoopGlobalFeaturesOptions
-
- features - Variable in class org.openimaj.image.analysis.watershed.Component
-
List of features representing this component
- features - Variable in class org.openimaj.image.feature.local.detector.dog.collector.AbstractOctaveLocalFeatureCollector
-
- features - Variable in class org.openimaj.image.feature.local.detector.ipd.collector.InterestPointFeatureCollector
-
- features - Variable in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- features - Variable in class org.openimaj.video.tracking.klt.FeatureList
-
The list of features
- features - Variable in class org.openimaj.video.tracking.klt.FeatureTable
-
The table of features
- FeatureSelect - Class in org.openimaj.hadoop.tools.fastkmeans
-
Map-Reduce (random) feature selection
- FeatureSelect() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect
-
- FeatureSelect.Map - Class in org.openimaj.hadoop.tools.fastkmeans
-
Mapper
- FeatureSelect.Reduce - Class in org.openimaj.hadoop.tools.fastkmeans
-
Reducer
- FeatureTable - Class in org.openimaj.video.tracking.klt
-
A table storing features per frame
- FeatureTable(int) - Constructor for class org.openimaj.video.tracking.klt.FeatureTable
-
KLTCreateFeatureTable
- FeatureVector - Interface in org.openimaj.feature
-
Interface for objects that represent feature vectors.
- featureVector - Variable in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
- FeatureVectorCentroidsResult<T extends FeatureVector> - Class in org.openimaj.ml.clustering
-
- FeatureVectorCentroidsResult() - Constructor for class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
- FeatureVectorExtractor<F extends FeatureVector,T extends ExtractorProperties> - Interface in org.openimaj.image.feature.local.extraction
-
The FeatureExtractor interface describes a class capable of extracting
FeatureVector(s) from something.
- FeatureVectorKMeans<T extends FeatureVector> - Class in org.openimaj.ml.clustering.kmeans
-
Fast, parallel implementation of the K-Means algorithm with support for
bigger-than-memory data.
- FeatureVectorKMeans(KMeansConfiguration<ObjectNearestNeighbours<T>, T>) - Constructor for class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Construct the clusterer with the the given configuration.
- FeatureVectorKMeans() - Constructor for class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
A completely default
ByteKMeans
used primarily as a convenience
function for reading.
- FeatureVectorKMeans.Result<T extends FeatureVector> - Class in org.openimaj.ml.clustering.kmeans
-
Result object for FeatureVectorKMeans, extending
FeatureVectorCentroidsResult and ObjectNearestNeighboursProvider, as well
as giving access to state information from the operation of the K-Means
algorithm (i.e.
- FeatureVectorKMeansInit<T> - Class in org.openimaj.ml.clustering.kmeans
-
Initialisation for K-Means clustering.
- FeatureVectorKMeansInit() - Constructor for class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeansInit
-
- FeatureVectorKMeansInit.RANDOM<T> - Class in org.openimaj.ml.clustering.kmeans
-
Simple kmeans initialized on randomly selected samples.
- FeatureVectorPCA - Class in org.openimaj.ml.pca
-
- FeatureVectorPCA() - Constructor for class org.openimaj.ml.pca.FeatureVectorPCA
-
- FeatureVectorPCA(PrincipalComponentAnalysis) - Constructor for class org.openimaj.ml.pca.FeatureVectorPCA
-
- FeatureVectorProvider<T extends FeatureVector> - Interface in org.openimaj.feature
-
A FeatureVectorProvider marks classes that have an associated
FeatureVector or are capable of producing a FeatureVector from
their internal state.
- featureWindowSize - Variable in class org.openimaj.image.feature.local.engine.ipd.InterestPointImageExtractorProperties
-
- FeedForwardCombFilter - Class in org.openimaj.audio.filters
-
A basic feed-forward comb filter.
- FeedForwardCombFilter(int, double) - Constructor for class org.openimaj.audio.filters.FeedForwardCombFilter
-
Constructor that takes the number of samples delay
to apply to the signal.
- FeedForwardCombFilter(double, double, double) - Constructor for class org.openimaj.audio.filters.FeedForwardCombFilter
-
Constructor that takes the frequency at which the comb filter
will operate and the gain to apply to the delayed signal.
- feedStatus(PicSlurper) - Method in class org.openimaj.picslurper.DatabaseStatusFeeder
-
Start feeding statuses to the provided picslurper.
- feedStatus(PicSlurper) - Method in class org.openimaj.picslurper.InputStreamFeeder
-
- feedStatus(PicSlurper) - Method in interface org.openimaj.picslurper.StatusFeeder
-
Start feeding statuses to the provided picslurper.
- feedStatus(PicSlurper) - Method in class org.openimaj.picslurper.Twitter4JStreamFeeder
-
- FelzenszwalbHuttenlocherSegmenter<I extends Image<?,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.segmentation
-
Implementation of the segmentation algorithm described in:
Efficient Graph-Based Image Segmentation
Pedro F.
- FelzenszwalbHuttenlocherSegmenter() - Constructor for class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
-
Default constructor
- FelzenszwalbHuttenlocherSegmenter(float, float, int) - Constructor for class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
-
Construct with the given parameters
- fetchUnmatchedWorker() - Method in class org.openimaj.math.combinatorics.optimisation.HungarianAlgorithm
-
- FewEigenvalues - Class in ch.akuhn.matrix.eigenvalues
-
Finds a few eigenvalues of a matrix.
- FewEigenvalues(int) - Constructor for class ch.akuhn.matrix.eigenvalues.FewEigenvalues
-
- FFastGaussianConvolve - Class in org.openimaj.image.processing.convolution
-
Fast approximate Gaussian smoothing using repeated fast box filtering.
- FFastGaussianConvolve(float, int) - Constructor for class org.openimaj.image.processing.convolution.FFastGaussianConvolve
-
- FFT - Class in org.openimaj.docs.tutorial.fund.audio
-
Example that demonstrates the processing of audio to extract the FFT
magnitudes and then visualise it.
- FFT() - Constructor for class org.openimaj.docs.tutorial.fund.audio.FFT
-
- FFTBandPassFilter - Class in org.openimaj.audio.filters
-
Naive band pass filter that uses the Fourier transform to filter
unwanted frequencies.
- FFTBandPassFilter(AudioStream, int, int) - Constructor for class org.openimaj.audio.filters.FFTBandPassFilter
-
Chainable constructor
- FFTBandPassFilter(int, int) - Constructor for class org.openimaj.audio.filters.FFTBandPassFilter
-
Default constructor
- FFTEQ - Class in org.openimaj.docs.tutorial.fund.audio
-
Example that demonstrates chaining of audio processors as well as visualising
the output of an FFT operation.
- FFTEQ() - Constructor for class org.openimaj.docs.tutorial.fund.audio.FFTEQ
-
- FGaussianConvolve - Class in org.openimaj.image.processing.convolution
-
Image processor for FImage capable of performing convolutions with Gaussians.
- FGaussianConvolve(float) - Constructor for class org.openimaj.image.processing.convolution.FGaussianConvolve
-
- FGaussianConvolve(float, float) - Constructor for class org.openimaj.image.processing.convolution.FGaussianConvolve
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Item
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- fieldForId(int) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- FieldGetter - Class in org.kohsuke.args4j.spi
-
A field getter calls .toString() on the underlying object
- FieldGetter(String, Object, Field) - Constructor for class org.kohsuke.args4j.spi.FieldGetter
-
- file - Variable in class org.openimaj.picslurper.output.WriteableImageOutput
-
- file - Variable in class org.openimaj.util.list.AbstractFileBackedList
-
- FileBackedVideo<T extends Image<?,T>> - Class in org.openimaj.video
-
A video backed by a image files on disk.
- FileBackedVideo(List<File>) - Constructor for class org.openimaj.video.FileBackedVideo
-
Construct the video from the provided files.
- FileBackedVideo(List<File>, double) - Constructor for class org.openimaj.video.FileBackedVideo
-
Construct the video from the provided files.
- FileBackedVideo(String, int, int) - Constructor for class org.openimaj.video.FileBackedVideo
-
Construct videos from numbered files using the given format string and
indices.
- FileEntityLocation() - Constructor for class org.openimaj.text.nlp.namedentity.YagoCompanyAnnotatorEvaluator.FileEntityLocation
-
- fileExists(String) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
Use hadoop filesystem to check if the given path exists
- FileLocalFeatureList<T extends LocalFeature<?,?>> - Class in org.openimaj.feature.local.list
-
- FileLocalFeatureList(int, int, boolean, int, int, File, Class<T>) - Constructor for class org.openimaj.feature.local.list.FileLocalFeatureList
-
- FileLooper - Class in org.openimaj.text.nlp.io
-
- FileLooper(File) - Constructor for class org.openimaj.text.nlp.io.FileLooper
-
- FileMetaMapper - Class in org.openimaj.tools.imagecollection.metamapper
-
- FileMetaMapper(File) - Constructor for class org.openimaj.tools.imagecollection.metamapper.FileMetaMapper
-
- FilenameKeyProvider() - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility.FilenameKeyProvider
-
- FileObjectISReader(InputStreamObjectReader<INSTANCE>) - Constructor for class org.openimaj.data.dataset.VFSListDataset.FileObjectISReader
-
- FileOutputStreamOptionHandler - Class in org.kohsuke.args4j
-
- FileOutputStreamOptionHandler(CmdLineParser, OptionDef, Setter<? super FileOutputStream>) - Constructor for class org.kohsuke.args4j.FileOutputStreamOptionHandler
-
Default constructor.
- fileSystem - Variable in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- FileToolsUtil - Class in org.openimaj.tools
-
Tools for dealing with #InOutTool instances that are local file
- FileToolsUtil() - Constructor for class org.openimaj.tools.FileToolsUtil
-
- FileTwitterStatusList<T extends USMFStatus> - Class in org.openimaj.twitter.collection
-
- FileTwitterStatusList(int, File, String, Class<T>) - Constructor for class org.openimaj.twitter.collection.FileTwitterStatusList
-
- FileTwitterStatusList(int, File, String, Class<T>, Class<? extends GeneralJSON>) - Constructor for class org.openimaj.twitter.collection.FileTwitterStatusList
-
- FileTwitterStatusList(int, File, Class<T>) - Constructor for class org.openimaj.twitter.collection.FileTwitterStatusList
-
- fileType - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- fileType - Variable in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- FileType - Enum in org.openimaj.tools.clusterquantiser
-
Different file formats containing local features.
- FILETYPE_KEY - Static variable in class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect
-
- FileUtils - Class in org.openimaj.io
-
Utility methods for dealing with files on the filesystem
- FileUtils() - Constructor for class org.openimaj.io.FileUtils
-
- fill(double) - Method in class ch.akuhn.matrix.DenseMatrix
-
Fill with a constant
- fill(Float) - Method in class org.openimaj.image.FImage
-
Fill this image with the given colour.
- fill(float) - Method in class org.openimaj.image.FImage
-
Fill an image with the given colour
- fill(Q) - Method in class org.openimaj.image.Image
-
Fill this image with the given colour.
- fill(Float[]) - Method in class org.openimaj.image.MBFImage
-
- fill(T[]) - Method in class org.openimaj.image.MultiBandImage
-
Fill this image with the given colour.
- fill - Variable in class org.openimaj.image.processor.connectedcomponent.render.BoundingBoxRenderer
-
- fill(Q) - Method in class org.openimaj.image.SingleBandImage
-
Fill this image with the given colour.
- fill(Float[]) - Method in class org.openimaj.image.SVGImage
-
- fill(int, double) - Static method in class org.openimaj.math.matrix.DiagonalMatrix
-
- fill(double) - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
Fill the elements with a constant value.
- fill(Matrix, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Fill a matrix with a constant value.
- fill(double[][], double) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(double[], double, int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value from the start index for the length given
- fill(double[], double) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(float[][], float) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(float[], float, int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value from the start index for the length given
- fill(float[], float) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(int[][], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(int[], int, int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value from the start index for the length given
- fill(int[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(long[][], long) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(long[], long, int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value from the start index for the length given
- fill(long[], long) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(byte[][], byte) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(byte[], byte, int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value from the start index for the length given
- fill(byte[], byte) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(short[][], short) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(short[], short, int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value from the start index for the length given
- fill(short[], short) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fill the array with the value
- fill(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Fills the array with ordinal values
- fillAnalysis(GeneralJSON) - Method in class org.openimaj.twitter.GeneralJSON
-
- fillFromString(String) - Method in class org.openimaj.twitter.USMFStatus
-
Used by readASCII(), and available for external use to fill this
USMFStatus with the information held in the line
- fillMatrix_1D(int, double[]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 1D matrix with random numbers.
- fillMatrix_1D(int, float[]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 1D matrix with random numbers.
- fillMatrix_2D(int, int, double[]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 2D matrix with random numbers.
- fillMatrix_2D(int, int, float[]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 2D matrix with random numbers.
- fillMatrix_2D(int, int, double[][]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 2D matrix with random numbers.
- fillMatrix_2D(int, int, float[][]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 2D matrix with random numbers.
- fillMatrix_3D(int, int, int, double[]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 3D matrix with random numbers.
- fillMatrix_3D(int, int, int, float[]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 3D matrix with random numbers.
- fillMatrix_3D(int, int, int, double[][][]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 3D matrix with random numbers.
- fillMatrix_3D(int, int, int, float[][][]) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Fills 3D matrix with random numbers.
- fillUSMF(USMFStatus) - Method in class org.openimaj.twitter.GeneralJSON
-
This is the method that will be called by USMFStatus to fill itself with
the matching values from the extending class.
- fillUSMF(USMFStatus) - Method in class org.openimaj.twitter.GeneralJSONRDF
-
- fillUSMF(USMFStatus) - Method in class org.openimaj.twitter.GeneralJSONTwitter
-
- fillUSMF(USMFStatus) - Method in class org.openimaj.twitter.USMFStatus
-
- filter(LocationFilter) - Method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Create a new list by applying a
LocationFilter
to all the
elements of this list.
- filter(String) - Method in class org.openimaj.hadoop.tools.twitter.JsonPathFilterSet
-
- filter(FImage, int) - Static method in class org.openimaj.image.processing.algorithm.MaxFilter
-
Apply the filter some number of times to an image with the default 3x3
block support
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.BellFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.BlackmanFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.BoxFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.BSplineFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.CatmullRomFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.HammingFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.HanningFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.HermiteFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.Lanczos3Filter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.MitchellFilter
-
- filter(double) - Method in class org.openimaj.image.processing.resize.filters.TriangleFilter
-
- filter(double) - Method in interface org.openimaj.image.processing.resize.ResizeFilterFunction
-
The filter function.
- filter(int) - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
Filter the cluster centroids be removing those with less than threshold
items
- filter(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.filter.TwitterPreprocessingFilter
-
Whether the status should be filtered (i.e.
- filter(Collection<Q>, Predicate<T>) - Static method in class org.openimaj.util.filter.FilterUtils
-
Filter a collection, returning the accepted items in an
ArrayList
.
- filter(Collection<? extends T>, Collection<T>, Predicate<T>) - Static method in class org.openimaj.util.filter.FilterUtils
-
Filter a collection, storing the accepted items in the given output
collection.
- filter(Predicate<T>) - Method in class org.openimaj.util.stream.AbstractStream
-
- filter(Predicate<T>) - Method in interface org.openimaj.util.stream.Stream
-
Transform the stream by creating a view that consists of only the items
that match the given
Predicate
.
- filterAmplitude - Variable in class org.openimaj.audio.filters.TriangularFilter
-
The height of the filter
- FilterBank - Class in org.openimaj.image.processing.convolution.filterbank
-
A FilterBank is a set of convolution filters which can be applied to an
image.
- FilterBank(FConvolution[]) - Constructor for class org.openimaj.image.processing.convolution.filterbank.FilterBank
-
- filterDuplicatePoints(List<Pair<Keypoint>>) - Static method in class org.openimaj.demos.DTConsistency
-
- filterEdgesTransformed(Q, float, I, float) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
- filteredIterator(Iterable<? extends T>, Predicate<T>) - Static method in class org.openimaj.util.filter.FilterUtils
-
Create an iterator that filters items from the given
Iterable
.
- filteredIterator(Iterator<? extends T>, Predicate<T>) - Static method in class org.openimaj.util.filter.FilterUtils
-
Create an iterator that filters items from the given
Iterator
.
- filteredIterator(T[], Predicate<T>) - Static method in class org.openimaj.util.filter.FilterUtils
-
Create an iterator that filters items from the given array.
- FilteringObjectDetector<IMAGE extends Image<?,IMAGE>,DETECTED_OBJECT,FILTERED_OBJECT> - Class in org.openimaj.image.objectdetection
-
- FilteringObjectDetector(ObjectDetector<IMAGE, DETECTED_OBJECT>, DetectionFilter<DETECTED_OBJECT, FILTERED_OBJECT>) - Constructor for class org.openimaj.image.objectdetection.FilteringObjectDetector
-
Construct with the given detector and filter.
- FilterSupport - Class in org.openimaj.image.processing.algorithm
-
Methods and statically defined templates for defining the support of local
image filters.
- FilterSupport() - Constructor for class org.openimaj.image.processing.algorithm.FilterSupport
-
- FilterUtils - Class in org.openimaj.util.filter
-
Utilities for filtering collections by applying a
Predicate
.
- FImage - Class in org.openimaj.image
-
Class representing a single-band floating-point image; that is an image where
each pixel is represented by a floating-point number.
- FImage(float[], int, int) - Constructor for class org.openimaj.image.FImage
-
Create an
FImage
from an array of floating point values with the
given width and height.
- FImage(double[], int, int) - Constructor for class org.openimaj.image.FImage
-
Create an
FImage
from an array of double values with the given
width and height.
- FImage(double[], int, int, int) - Constructor for class org.openimaj.image.FImage
-
Create an
FImage
from an array of double values with the given
width and height.
- FImage(float[][]) - Constructor for class org.openimaj.image.FImage
-
Create an
FImage
from an array of floating point values.
- FImage(int, int) - Constructor for class org.openimaj.image.FImage
-
Create an empty
FImage
of the given size.
- FImage(int[], int, int) - Constructor for class org.openimaj.image.FImage
-
Construct an
FImage
from an array of packed ARGB integers.
- FImage(int[], int, int, ARGBPlane) - Constructor for class org.openimaj.image.FImage
-
Construct an
FImage
from an array of packed ARGB integers using
the specified plane.
- FImage2DoubleFV - Class in org.openimaj.image.feature
-
- FImage2DoubleFV() - Constructor for class org.openimaj.image.feature.FImage2DoubleFV
-
- FImage2FloatFV - Class in org.openimaj.image.feature
-
- FImage2FloatFV() - Constructor for class org.openimaj.image.feature.FImage2FloatFV
-
- FIMAGE_EXTRACTOR - Static variable in class org.openimaj.stream.functions.ImageFromURL
-
- FIMAGE_READER - Static variable in class org.openimaj.image.annotation.evaluation.datasets.CIFARDataset
-
Reader for getting the data as
FImage
s
- FIMAGE_READER - Static variable in class org.openimaj.image.ImageUtilities
-
- FImageConvolveSeparable - Class in org.openimaj.image.processing.convolution
-
Image processor for separable convolution of an FImage.
- FImageConvolveSeparable(float[], float[]) - Constructor for class org.openimaj.image.processing.convolution.FImageConvolveSeparable
-
Specify the horizontal kernel and vertical kernel separately.
- FImageConvolveSeparable(float[]) - Constructor for class org.openimaj.image.processing.convolution.FImageConvolveSeparable
-
Specify a single kernel to be used as the horizontal and vertical.
- FImageFileBackedVideo - Class in org.openimaj.video
-
A video backed by a image files on disk.
- FImageFileBackedVideo(List<File>) - Constructor for class org.openimaj.video.FImageFileBackedVideo
-
Construct the video from the provided files.
- FImageFileBackedVideo(List<File>, double) - Constructor for class org.openimaj.video.FImageFileBackedVideo
-
Construct the video from the provided files.
- FImageFileBackedVideo(String, int, int) - Constructor for class org.openimaj.video.FImageFileBackedVideo
-
Construct videos from numbered files using the given format string and
indices.
- FImageGradients - Class in org.openimaj.image.processing.convolution
-
Image processor for calculating gradients and orientations using
finite-differences.
- FImageGradients() - Constructor for class org.openimaj.image.processing.convolution.FImageGradients
-
- FImageGradients(FImageGradients.Mode) - Constructor for class org.openimaj.image.processing.convolution.FImageGradients
-
- FImageGradients.Mode - Enum in org.openimaj.image.processing.convolution
-
Modes of operation for signed and unsigned orientations
- FImageOptionHandler - Class in org.kohsuke.args4j
-
An
OptionHandler
that can provide a
FImage
from
a file name.
- FImageOptionHandler(CmdLineParser, OptionDef, Setter<? super FImage>) - Constructor for class org.kohsuke.args4j.FImageOptionHandler
-
Default constructor.
- FImageReader - Class in org.openimaj.image.annotation.evaluation.datasets.cifar
-
BinaryReader
for CIFAR data that converts the encoded rgb pixel
values into an
FImage
(by unweighted averaging).
- FImageReader(int, int) - Constructor for class org.openimaj.image.annotation.evaluation.datasets.cifar.FImageReader
-
Construct with the given image height and width.
- FImageRenderer - Class in org.openimaj.image.renderer
-
- FImageRenderer(FImage) - Constructor for class org.openimaj.image.renderer.FImageRenderer
-
Construct with given target image.
- FImageRenderer(FImage, RenderHints) - Constructor for class org.openimaj.image.renderer.FImageRenderer
-
Construct with given target image and rendering hints.
- FImageToMBFImageVideoTranslator - Class in org.openimaj.video.translator
-
Converts an FImage video into an MBFImage video.
- FImageToMBFImageVideoTranslator(Video<FImage>) - Constructor for class org.openimaj.video.translator.FImageToMBFImageVideoTranslator
-
Create a translator using the input video.
- finalFitCondition(int) - Method in class org.openimaj.math.model.fit.RANSAC.BestFitStoppingCondition
-
- finalFitCondition(int) - Method in class org.openimaj.math.model.fit.RANSAC.NumberInliersStoppingCondition
-
- finalFitCondition(int) - Method in class org.openimaj.math.model.fit.RANSAC.ProbabilisticMinInliersStoppingCondition
-
- finalFitCondition(int) - Method in interface org.openimaj.math.model.fit.RANSAC.StoppingCondition
-
Should the model be considered to fit after the final iteration has
passed?
- finalise() - Method in class org.openimaj.text.nlp.namedentity.QuickIndexer
-
call IndexWriter.close()
- finalize() - Method in class org.openimaj.hardware.kinect.KinectController
-
- finalize() - Method in class org.openimaj.hardware.serial.SerialDevice
- finalize() - Method in class org.openimaj.image.processing.face.recognition.benchmarking.dataset.TextFileDataset
-
- finalize() - Method in class org.openimaj.video.capture.VideoCapture
-
- finalize() - Method in class org.openimaj.vis.Visualisation3D
-
Closes the window and cleans up
- finalOutput(HadoopTwitterTokenToolOptions) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.DFIDFTokenMode
-
- finalOutput(HadoopTwitterTokenToolOptions) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenMatchMode
-
- finalOutput(HadoopTwitterTokenToolOptions) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.PairwiseMutualInformationMode
-
- finalOutput(HadoopTwitterTokenToolOptions) - Method in interface org.openimaj.hadoop.tools.twitter.token.mode.TwitterTokenMode
-
Drive the provided output mode with the final product of the tool
- FINANCE_DATA - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordTimeSeries
-
- find(K, long) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Search for the record identified by queryKey.
- find(K) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Search for the record identified by queryKey.
- find(Pixel) - Method in class org.openimaj.image.pixel.PixelSet
-
Returns whether the given pixel is within this connected component.
- find(int, int) - Method in class org.openimaj.image.pixel.PixelSet
-
Returns whether the given coordinates are within this connected
component.
- find(T) - Method in class org.openimaj.util.set.DisjointSetForest
-
Search for the representative of the subset containing the element x.
- findAllElements(String) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get all DOM elements matching the given CSS selector
- findAndExport(K, String, long) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Find a record and write the value to a file.
- findAndExport(K, FileSystem, Path, long) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Find a record and write the value to a file.
- findArticleDate() - Method in class org.openimaj.web.readability.Readability
-
- findArticleEncoding() - Method in class org.openimaj.web.readability.Readability
-
- findArticleTitle() - Method in class org.openimaj.web.readability.Readability
-
Get the article title.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Item._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.put_args._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.put_result._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByName(String) - Static method in enum net.lag.kestrel.thrift.QueueInfo._Fields
-
Find the _Fields constant that matches name, or null if its not
found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Item._Fields
-
Find the _Fields constant that matches fieldId, or null if its not
found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.put_args._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.put_result._Fields
-
Find the _Fields constant that matches fieldId, or null if its
not found.
- findByThriftId(int) - Static method in enum net.lag.kestrel.thrift.QueueInfo._Fields
-
Find the _Fields constant that matches fieldId, or null if its not
found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Item._Fields
-
Find the _Fields constant that matches fieldId, throwing an exception
if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.put_args._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.Kestrel.put_result._Fields
-
Find the _Fields constant that matches fieldId, throwing an
exception if it is not found.
- findByThriftIdOrThrow(int) - Static method in enum net.lag.kestrel.thrift.QueueInfo._Fields
-
Find the _Fields constant that matches fieldId, throwing an exception
if it is not found.
- findChildNodeIndex(Node, Node) - Method in class org.openimaj.web.readability.Readability
-
- findChildNodesWithName(Node, String) - Method in class org.openimaj.web.readability.Readability
-
- findClasses(Package) - Static method in class org.openimaj.util.reflection.ClassFinder
-
Scans all classes accessible from the context class loader which belong
to the given package and sub-packages.
- findClasses(String) - Static method in class org.openimaj.util.reflection.ClassFinder
-
Scans all classes accessible from the context class loader which belong
to the given package and subpackages.
- findClassesInDir(File, String) - Static method in class org.openimaj.util.reflection.ClassFinder
-
Recursive method to find all classes in a given directory and subdirs.
- findClassesInJar(File, String) - Static method in class org.openimaj.util.reflection.ClassFinder
-
Finds all the classes in a given package or its subpackages within a jar
file.
- findComponents(FImage, float, ConnectedComponent.ConnectMode) - Method in enum org.openimaj.image.connectedcomponent.ConnectedComponentLabeler.Algorithm
-
Find the connected components in an image.
- findComponents(FImage) - Method in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- findComponents(FImage) - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
-
- findContours(FImage) - Static method in class org.openimaj.image.contour.SuzukiContourProcessor
-
Find contours in the given image and return the border
- findContours(FImage, SuzukiContourProcessor) - Static method in class org.openimaj.image.contour.SuzukiContourProcessor
-
Detect borders hierarchically in this binary image.
- findDefects(Polygon) - Static method in class org.openimaj.math.geometry.shape.algorithm.ConvexityDefect
-
Find the defects of the given polygon.
- findDefects(Polygon, Polygon) - Static method in class org.openimaj.math.geometry.shape.algorithm.ConvexityDefect
-
Find the defects of the given polygon, based on the given convex hull
- finder(MultiscaleInterestPointDetector<T>, IPDSelectionMode) - Method in class org.openimaj.image.feature.local.engine.ipd.FinderMode.Basic
-
- finder(MultiscaleInterestPointDetector<T>, IPDSelectionMode) - Method in class org.openimaj.image.feature.local.engine.ipd.FinderMode.Characteristic
-
- finder(MultiscaleInterestPointDetector<T>, IPDSelectionMode) - Method in interface org.openimaj.image.feature.local.engine.ipd.FinderMode
-
Given a detector and the selection pmode
- finder(MultiscaleInterestPointDetector<T>, IPDSelectionMode) - Method in class org.openimaj.image.feature.local.engine.ipd.FinderMode.Logging
-
- FinderMode<T extends InterestPointData> - Interface in org.openimaj.image.feature.local.engine.ipd
-
The type of finder to use
- FinderMode.Basic<T extends InterestPointData> - Class in org.openimaj.image.feature.local.engine.ipd
-
- FinderMode.Characteristic<T extends InterestPointData> - Class in org.openimaj.image.feature.local.engine.ipd
-
The characteristic finder throws away ellipses that are basically the
same, keeping the strongest one.
- FinderMode.Logging<T extends InterestPointData> - Class in org.openimaj.image.feature.local.engine.ipd
-
A logging logs as well as finding points.
- findFeatures(FImage) - Method in class org.openimaj.image.feature.local.engine.ALTDoGSIFTEngine
-
- findFeatures(FImage) - Method in class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
- findFeatures(MBFImage) - Method in class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
- findFeatures(FImage) - Method in class org.openimaj.image.feature.local.engine.BasicGridSIFTEngine
-
- findFeatures(MBFImage) - Method in class org.openimaj.image.feature.local.engine.DoGColourSIFTEngine
-
- findFeatures(MBFImage, FImage) - Method in class org.openimaj.image.feature.local.engine.DoGColourSIFTEngine
-
Find DoG interest points in the given luminance image, but extract the
SIFT features from the colour image.
- findFeatures(FImage) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngine
-
- findFeatures(IMAGE) - Method in interface org.openimaj.image.feature.local.engine.Engine
-
Find local features in the given image and return them.
- findFeatures(FImage) - Method in class org.openimaj.image.feature.local.engine.ipd.AbstractIPDSIFTEngine
-
Find the interest points using the provided detector and extract a SIFT
descriptor per point.
- findFeatures(FImage) - Method in class org.openimaj.image.feature.local.engine.MinMaxDoGSIFTEngine
-
- findFeaturesInternal(MBFImage) - Method in class org.openimaj.image.feature.local.engine.DoGColourSIFTEngine
-
- findFirstElement(String) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get the first DOM element corresponding to the given CSS selector
- findInterestPoints(FImage) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- findInterestPoints(FImage, Rectangle) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- findInterestPoints(FImage) - Method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
- findInterestPoints(FImage, Rectangle) - Method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
- findInterestPoints(FImage) - Method in interface org.openimaj.image.feature.local.interest.InterestPointDetector
-
Find the interest points in an image
- findInterestPoints(FImage, Rectangle) - Method in interface org.openimaj.image.feature.local.interest.InterestPointDetector
-
Find the interest points in an image
- findInterestPoints(FImage) - Method in class org.openimaj.workinprogress.LOCKY
-
- findInterestPoints(FImage, Rectangle) - Method in class org.openimaj.workinprogress.LOCKY
-
- findKeypoints(FImage) - Method in class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
Find the features as a list of
Keypoint
objects
- findKeypoints(FImage, AffineParams) - Method in class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
Find the features of a single simulation as a list of
Keypoint
objects
- findKeypoints(MBFImage) - Method in class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
Find the features as a list of
Keypoint
objects
- findKeypoints(MBFImage, AffineParams) - Method in class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
Find the features of a single simulation as a list of
Keypoint
objects
- findKeypointsMapped(FImage) - Method in class org.openimaj.image.feature.local.engine.asift.ASIFTEngine
-
Find the features and return the resultant features in a per-simulation
format.
- findKeypointsMapped(MBFImage) - Method in class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine
-
Find the features and return the resultant features in a per-simulation
format.
- findLetters(List<ConnectedComponent>, FImage, FImage, SWTTextDetector.Options) - Static method in class org.openimaj.image.text.extraction.swt.LetterCandidate
-
Filter the components to find likely letter candidates.
- findMatch(T, List<T>) - Method in class org.openimaj.feature.local.matcher.BasicTwoWayMatcher
-
This searches through the keypoints in klist for the closest match to key.
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.BasicMatcher
-
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.BasicTwoWayMatcher
-
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.consistent.LocalConsistentKeypointMatcher
-
- findMatches(List<T>) - Method in interface org.openimaj.feature.local.matcher.consistent.ModelFittingLocalFeatureMatcher
-
Attempt to find matches between the model features from the database, and
given query features and learn the parameters of the underlying model
that links the two sets of features.
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.FastBasicKeypointMatcher
-
Given a pair of images and their keypoints, pick the first keypoint from
one image and find its closest match in the second set of keypoints.
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.FastEuclideanKeypointMatcher
-
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.FastLimitedBasicKeypointMatcher
-
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.FastLimitedEuclideanKeypointMatcher
-
- findMatches(List<T>) - Method in interface org.openimaj.feature.local.matcher.LocalFeatureMatcher
-
Attempt to find matches between the model features from the database, and
given query features.
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.MultipleMatchesMatcher
-
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.quantised.BasicQuantisedKeypointMatcher
-
- findMatches(List<T>) - Method in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- findMaxClassCount(int[], Map<Integer, Integer>) - Static method in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterAnalyserUtils
-
- findMaximum(Rectangle) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- findModelNeighbours(T) - Method in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- findNearestNeighbour(byte[]) - Method in class org.openimaj.util.tree.IncrementalByteKDTree
-
Find the nearest neighbour.
- findNearestNeighbour(double[]) - Method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Find the nearest neighbour.
- findNearestNeighbour(float[]) - Method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
Find the nearest neighbour.
- findNearestNeighbour(int[]) - Method in class org.openimaj.util.tree.IncrementalIntKDTree
-
Find the nearest neighbour.
- findNearestNeighbour(long[]) - Method in class org.openimaj.util.tree.IncrementalLongKDTree
-
Find the nearest neighbour.
- findNearestNeighbour(short[]) - Method in class org.openimaj.util.tree.IncrementalShortKDTree
-
Find the nearest neighbour.
- findNearestNeighbours(byte[], int) - Method in class org.openimaj.util.tree.IncrementalByteKDTree
-
Find the K nearest neighbours.
- findNearestNeighbours(double[], int) - Method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Find the K nearest neighbours.
- findNearestNeighbours(float[], int) - Method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
Find the K nearest neighbours.
- findNearestNeighbours(int[], int) - Method in class org.openimaj.util.tree.IncrementalIntKDTree
-
Find the K nearest neighbours.
- findNearestNeighbours(long[], int) - Method in class org.openimaj.util.tree.IncrementalLongKDTree
-
Find the K nearest neighbours.
- findNearestNeighbours(short[], int) - Method in class org.openimaj.util.tree.IncrementalShortKDTree
-
Find the K nearest neighbours.
- findParts(FImage[]) - Method in class org.openimaj.image.processing.face.detection.keypoints.FacialKeypointExtractor
-
- findRecursive(File, FilenameFilter) - Static method in class org.openimaj.io.FileUtils
-
- findSubPixCorner(FImage, Point2d) - Method in class org.openimaj.image.feature.local.interest.SubPixelCorners
-
Find the sub-pixel estimated position of a corner
- findSubPixCorners(FImage, List<? extends Point2d>) - Method in class org.openimaj.image.feature.local.interest.SubPixelCorners
-
Find the sub-pixel estimated position of each corner
- finish(ExperimentContext) - Method in interface org.openimaj.experiment.RunnableExperiment
-
Finalise the experiment, possibly writing the results, cleaning up, etc.
- finish() - Method in class org.openimaj.image.contour.Contour
-
Complete this contour by computing it's bounding box
- finish() - Method in class org.openimaj.image.feature.local.detector.ipd.finder.CharacteristicOctaveInterestPointFinder
-
- finish() - Method in class org.openimaj.image.feature.local.detector.ipd.finder.LoggingOctaveInterestPointFinder
-
- finish() - Method in class org.openimaj.image.feature.local.detector.ipd.finder.OctaveInterestPointFinder
-
Once all the features have been detected, do something (default: nothing)
- finish(ExperimentContext) - Method in class org.openimaj.image.processing.face.recognition.benchmarking.CrossValidationBenchmark
-
- finish(StormToolOptions) - Method in class org.openimaj.rdf.storm.tool.topology.LocalTopologyMode
-
- finish(StormToolOptions) - Method in class org.openimaj.rdf.storm.tool.topology.StormTopologyMode
-
- finish(StormToolOptions) - Method in interface org.openimaj.rdf.storm.tool.topology.TopologyMode
-
After everything else in the tool is done, what should happen?
- finished(Job) - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
Called when the stage's job is completed.
- finished(Job) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
- finished() - Method in interface org.openimaj.picslurper.output.OutputListener
-
When the picslurper is done
- finished() - Method in class org.openimaj.picslurper.output.TrendDetectionOutputListener
-
- finished() - Method in class org.openimaj.picslurper.output.ZMQOutputListener
-
- fireAfterPlay(SampleChunk) - Method in class org.openimaj.audio.AudioPlayer
-
Fires an event that says the samples have been played.
- fireAnimationEvent() - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Fire an event to say a new vis update is available
- fireAnimationEvent() - Method in class org.openimaj.vis.world.WorldMap
-
Fire the animation event
- fireAudioAvailable() - Method in class org.openimaj.audio.AudioGrabber
-
Fire the event and audio is now available
- fireAudioAvailable() - Method in class org.openimaj.audio.JavaSoundAudioGrabber
-
Fire the event and audio is now available
- fireAudioEnded(AudioStream) - Method in class org.openimaj.audio.AudioPlayer
-
Fires the audio ended event to the listeners.
- fireBeforePlay(SampleChunk) - Method in class org.openimaj.audio.AudioPlayer
-
Fires an event that says the samples will be played.
- fireBeforeUpdate(T) - Method in class org.openimaj.video.VideoDisplay
-
Fire the event to the video listeners that a frame is about to be
displayed on the video.
- fired - Variable in class org.openimaj.time.Sequencer.SequencerEvent
-
Whether the event has already been fired.
- fireDataReceived(String[]) - Method in class org.openimaj.hardware.serial.SerialReader
-
Fire multiple events: one for each parsed string.
- fireDifferentialCalculated(VideoTimecode, double, I) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Fired each time a differential is calculated between frames.
- fireSerialDataEvent(String) - Method in class org.openimaj.hardware.serial.SerialDevice
-
Fires the serial data event when data is received on the port.
- fireShotDetected(ShotBoundary<I>, VideoKeyframe<I>) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Fire the event to the listeners that a new shot has been detected.
- fireStateChanged() - Method in class org.openimaj.video.VideoDisplay
-
Fire the state changed event
- fireSynthQuiet() - Method in class org.openimaj.audio.generation.Synthesizer
-
Fired when the synth finished the release phase.
- fireVideoEndEvent() - Method in class org.openimaj.video.VideoDisplay
-
Fire the event that says the video is at the end.
- fireVideoStartEvent() - Method in class org.openimaj.video.VideoDisplay
-
Fire the event that says the video is at the start.
- fireVideoUpdate() - Method in class org.openimaj.video.VideoDisplay
-
Fire the event to the video listeners that a frame has been put on the
display
- FIRFilter - Class in org.openimaj.audio.filters
-
FIR filter is a multiplication of the frequency domain of a signal with the frequency
domain of a filter.
- FIRFilter(AudioStream) - Constructor for class org.openimaj.audio.filters.FIRFilter
-
- first - Variable in class org.openimaj.util.pair.ByteBytePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ByteDoublePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ByteFloatPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ByteIntPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ByteLongPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ByteObjectPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ByteShortPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.DoubleBytePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.DoubleDoublePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.DoubleFloatPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.DoubleIntPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.DoubleLongPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.DoubleObjectPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.DoubleShortPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.FloatBytePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.FloatDoublePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.FloatFloatPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.FloatIntPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.FloatLongPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.FloatObjectPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.FloatShortPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.IntBytePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.IntDoublePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.IntFloatPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.IntIntPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.IntLongPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.IntObjectPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.IntShortPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.LongBytePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.LongDoublePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.LongFloatPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.LongIntPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.LongLongPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.LongObjectPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.LongShortPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ObjectBytePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ObjectDoublePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ObjectFloatPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ObjectIntPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ObjectLongPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ObjectShortPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ShortBytePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ShortDoublePair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ShortFloatPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ShortIntPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ShortLongPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ShortObjectPair
-
The first element of the pair
- first - Variable in class org.openimaj.util.pair.ShortShortPair
-
The first element of the pair
- first_bound - Variable in class org.openimaj.math.geometry.shape.util.polygon.LmtNode
-
Pointer to bound list
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteBytePair
-
Comparator for comparing the first element of a
ByteBytePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteDoublePair
-
Comparator for comparing the first element of a
ByteDoublePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteFloatPair
-
Comparator for comparing the first element of a
ByteFloatPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteIntPair
-
Comparator for comparing the first element of a
ByteIntPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteLongPair
-
Comparator for comparing the first element of a
ByteLongPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteShortPair
-
Comparator for comparing the first element of a
ByteShortPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleBytePair
-
Comparator for comparing the first element of a
DoubleBytePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleDoublePair
-
Comparator for comparing the first element of a
DoubleDoublePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleFloatPair
-
Comparator for comparing the first element of a
DoubleFloatPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleIntPair
-
Comparator for comparing the first element of a
DoubleIntPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleLongPair
-
Comparator for comparing the first element of a
DoubleLongPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleShortPair
-
Comparator for comparing the first element of a
DoubleShortPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatBytePair
-
Comparator for comparing the first element of a
FloatBytePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatDoublePair
-
Comparator for comparing the first element of a
FloatDoublePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatFloatPair
-
Comparator for comparing the first element of a
FloatFloatPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatIntPair
-
Comparator for comparing the first element of a
FloatIntPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatLongPair
-
Comparator for comparing the first element of a
FloatLongPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatShortPair
-
Comparator for comparing the first element of a
FloatShortPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntBytePair
-
Comparator for comparing the first element of a
IntBytePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntDoublePair
-
Comparator for comparing the first element of a
IntDoublePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntFloatPair
-
Comparator for comparing the first element of a
IntFloatPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntIntPair
-
Comparator for comparing the first element of a
IntIntPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntLongPair
-
Comparator for comparing the first element of a
IntLongPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntShortPair
-
Comparator for comparing the first element of a
IntShortPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongBytePair
-
Comparator for comparing the first element of a
LongBytePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongDoublePair
-
Comparator for comparing the first element of a
LongDoublePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongFloatPair
-
Comparator for comparing the first element of a
LongFloatPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongIntPair
-
Comparator for comparing the first element of a
LongIntPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongLongPair
-
Comparator for comparing the first element of a
LongLongPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongShortPair
-
Comparator for comparing the first element of a
LongShortPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortBytePair
-
Comparator for comparing the first element of a
ShortBytePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortDoublePair
-
Comparator for comparing the first element of a
ShortDoublePair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortFloatPair
-
Comparator for comparing the first element of a
ShortFloatPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortIntPair
-
Comparator for comparing the first element of a
ShortIntPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortLongPair
-
Comparator for comparing the first element of a
ShortLongPair
in ascending order.
- FIRST_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortShortPair
-
Comparator for comparing the first element of a
ShortShortPair
in ascending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteBytePair
-
Comparator for comparing the first element of a
ByteBytePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteDoublePair
-
Comparator for comparing the first element of a
ByteDoublePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteFloatPair
-
Comparator for comparing the first element of a
ByteFloatPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteIntPair
-
Comparator for comparing the first element of a
ByteIntPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteLongPair
-
Comparator for comparing the first element of a
ByteLongPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteShortPair
-
Comparator for comparing the first element of a
ByteShortPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleBytePair
-
Comparator for comparing the first element of a
DoubleBytePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleDoublePair
-
Comparator for comparing the first element of a
DoubleDoublePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleFloatPair
-
Comparator for comparing the first element of a
DoubleFloatPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleIntPair
-
Comparator for comparing the first element of a
DoubleIntPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleLongPair
-
Comparator for comparing the first element of a
DoubleLongPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleShortPair
-
Comparator for comparing the first element of a
DoubleShortPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatBytePair
-
Comparator for comparing the first element of a
FloatBytePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatDoublePair
-
Comparator for comparing the first element of a
FloatDoublePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatFloatPair
-
Comparator for comparing the first element of a
FloatFloatPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatIntPair
-
Comparator for comparing the first element of a
FloatIntPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatLongPair
-
Comparator for comparing the first element of a
FloatLongPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatShortPair
-
Comparator for comparing the first element of a
FloatShortPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntBytePair
-
Comparator for comparing the first element of a
IntBytePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntDoublePair
-
Comparator for comparing the first element of a
IntDoublePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntFloatPair
-
Comparator for comparing the first element of a
IntFloatPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntIntPair
-
Comparator for comparing the first element of a
IntIntPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntLongPair
-
Comparator for comparing the first element of a
IntLongPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntShortPair
-
Comparator for comparing the first element of a
IntShortPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongBytePair
-
Comparator for comparing the first element of a
LongBytePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongDoublePair
-
Comparator for comparing the first element of a
LongDoublePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongFloatPair
-
Comparator for comparing the first element of a
LongFloatPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongIntPair
-
Comparator for comparing the first element of a
LongIntPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongLongPair
-
Comparator for comparing the first element of a
LongLongPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongShortPair
-
Comparator for comparing the first element of a
LongShortPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortBytePair
-
Comparator for comparing the first element of a
ShortBytePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortDoublePair
-
Comparator for comparing the first element of a
ShortDoublePair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortFloatPair
-
Comparator for comparing the first element of a
ShortFloatPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortIntPair
-
Comparator for comparing the first element of a
ShortIntPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortLongPair
-
Comparator for comparing the first element of a
ShortLongPair
in descending order.
- FIRST_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortShortPair
-
Comparator for comparing the first element of a
ShortShortPair
in descending order.
- first_name - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
First (real) name of this User.
- FirstBandDoGOctave - Class in org.openimaj.image.feature.local.detector.dog.pyramid
-
- FirstBandDoGOctave(GaussianPyramid<FImage>, float) - Constructor for class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctave
-
Construct a Difference of Gaussian octave with the provided parent Pyramid
and octaveSize.
- FirstBandDoGOctaveExtremaFinder - Class in org.openimaj.image.feature.local.detector.dog.pyramid
-
- FirstBandDoGOctaveExtremaFinder(OctaveInterestPointFinder<GaussianOctave<FImage>, FImage>) - Constructor for class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
Construct with the given finder.
- FirstBandDoGOctaveExtremaFinder(OctaveInterestPointFinder<GaussianOctave<FImage>, FImage>, OctaveInterestPointListener<GaussianOctave<MBFImage>, MBFImage>) - Constructor for class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
Construct with the given finder and listener.
- firstCheck(float, int, int, int, FImage[]) - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
Perform the first of the checks that determine whether a point is a valid
interest point.
- firstCheck(float, int, int, int, FImage[]) - Method in class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
- firstCommonEdges - Variable in class org.openimaj.demos.DTConsistency.DTConsistencyInfo
-
- firstNonNull(T[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Return the first non-null item from an array.
- firstObject() - Method in class org.openimaj.util.pair.IndependentPair
-
- firstTrianglulation - Variable in class org.openimaj.demos.DTConsistency.DTConsistencyInfo
-
- FirstValueInitStrat - Class in org.openimaj.ml.linear.learner.init
-
Completely ignores desired dimensions and returns the first
Y value seen
- FirstValueInitStrat() - Constructor for class org.openimaj.ml.linear.learner.init.FirstValueInitStrat
-
- firstVertex() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- FisherFaceFeature - Class in org.openimaj.image.processing.face.feature
-
- FisherFaceFeature() - Constructor for class org.openimaj.image.processing.face.feature.FisherFaceFeature
-
- FisherFaceFeature(DoubleFV) - Constructor for class org.openimaj.image.processing.face.feature.FisherFaceFeature
-
Construct the FisherFaceFeature with the given feature vector.
- FisherFaceFeature.Extractor<T extends DetectedFace> - Class in org.openimaj.image.processing.face.feature
-
- FisherFaceRecogniser<FACE extends DetectedFace,PERSON> - Class in org.openimaj.image.processing.face.recognition
-
- FisherFaceRecogniser() - Constructor for class org.openimaj.image.processing.face.recognition.FisherFaceRecogniser
-
- FisherFaceRecogniser(FisherFaceFeature.Extractor<FACE>, FaceRecogniser<FACE, PERSON>) - Constructor for class org.openimaj.image.processing.face.recognition.FisherFaceRecogniser
-
Construct with the given feature extractor and underlying
FaceRecogniser
.
- FisherFaceRecogniser(FisherFaceFeature.Extractor<FACE>, IncrementalAnnotator<FACE, PERSON>) - Constructor for class org.openimaj.image.processing.face.recognition.FisherFaceRecogniser
-
- FisherImages - Class in org.openimaj.image.model
-
Implementation of Fisher Images (aka "FisherFaces").
- FisherImages(int) - Constructor for class org.openimaj.image.model.FisherImages
-
Construct with the given number of components.
- FisherTesting - Class in org.openimaj.demos
-
- FisherTesting() - Constructor for class org.openimaj.demos.FisherTesting
-
- FisherVector<T> - Class in org.openimaj.image.feature.local.aggregate
-
Implementation of the Fisher Vector (FV) encoding scheme.
- FisherVector(MixtureOfGaussians, boolean, boolean) - Constructor for class org.openimaj.image.feature.local.aggregate.FisherVector
-
Construct with the given mixture of Gaussians and optional improvement
steps.
- FisherVector(MixtureOfGaussians) - Constructor for class org.openimaj.image.feature.local.aggregate.FisherVector
-
Construct the standard Fisher Vector encoder with the given mixture of
Gaussians.
- FisherVector(MixtureOfGaussians, boolean) - Constructor for class org.openimaj.image.feature.local.aggregate.FisherVector
-
Construct the Fisher Vector encoder with the given mixture of Gaussians
and the optional improvement steps (in the sense of the VLFeat
documentation).
- fit(FImage, int[], int, double, double) - Method in class com.jsaragih.CLM
-
Fit the model to the image
- fit(I, PointList) - Method in class org.openimaj.image.model.asm.ActiveShapeModel
-
Iteratively apply
ActiveShapeModel.performIteration(Image, PointList)
until the
maximum number of iterations is exceeded, or the number of points that
moved less than 0.5 of their maximum distance in an iteration is less
than the target inlier percentage.
- fit - Variable in class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult
-
The percentage of points that moved less than 50% of their allowed
distance
- fit(I, PointList) - Method in class org.openimaj.image.model.asm.MultiResolutionActiveShapeModel
-
Perform multi-resolution fitting of the initial shape to
the initial image.
- fitData(List<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator
-
- fitData(List<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.estimation.RobustFundamentalEstimator
-
- fitData(List<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.estimation.RobustHomographyEstimator
-
- fitData(List<? extends IndependentPair<I, D>>) - Method in class org.openimaj.math.model.fit.LMedS
-
- fitData(List<? extends IndependentPair<I, D>>) - Method in interface org.openimaj.math.model.fit.ModelFitting
-
Attempt to fit the given data to the model.
- fitData(List<? extends IndependentPair<I, D>>) - Method in class org.openimaj.math.model.fit.RANSAC
-
- fitData(List<? extends IndependentPair<I, D>>) - Method in class org.openimaj.math.model.fit.SimpleModelFitting
-
- fitModel(PointList) - Method in class org.openimaj.math.geometry.shape.PointDistributionModel
-
Determine the best parameters of the PDM for the given model.
- fixAxis(int) - Method in class org.openimaj.vis.general.BarVisualisation
-
Fix the x-axis to the given position in pixels.
- fixAxis(int) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Fix the x-axis to the given position in pixels.
- FixedChooser - Class in org.openimaj.ml.annotation.basic.util
-
Always choose the same (fixed) number of annotations
- FixedChooser(int) - Constructor for class org.openimaj.ml.annotation.basic.util.FixedChooser
-
Construct with the given number of annotations.
- FixedDataGenerator<X,Y> - Class in org.openimaj.ml.linear.data
-
- FixedDataGenerator(List<IndependentPair<X, Y>>) - Constructor for class org.openimaj.ml.linear.data.FixedDataGenerator
-
- fixedges(String) - Static method in class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider
-
pads start/end brackets with a space so they can be correctly matched
while not screwing up the rest of the text
- FixedHOGStrategy - Class in org.openimaj.image.feature.dense.gradient.binning
-
Implementation of an
SpatialBinningStrategy
that extracts normalised
HOG features in the style defined by Dalal and Triggs.
- FixedHOGStrategy(int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy
-
Construct with square cells of the given size (in pixels).
- FixedHOGStrategy(int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy
-
Construct with square cells of the given size (in pixels).
- FixedHOGStrategy(int, int, int, int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy
-
Construct with square cells of the given size (in pixels).
- FixedHOGStrategy.BlockNormalisation - Enum in org.openimaj.image.feature.dense.gradient.binning
-
Block normalisation schemes
- FixedResizeProcessor - Class in org.openimaj.image.processing.resize
-
A copy of the
ResizeProcessor
which speeds up the resize operation
between images of a given size to another fixed size by caching the contribution
calculations
- FixedResizeProcessor(float, float, float, float, ResizeFilterFunction) - Constructor for class org.openimaj.image.processing.resize.FixedResizeProcessor
-
Construct a fixed resize processor that will rescale the image to the given
width and height with the given filter function.
- FixedResizeProcessor(float, float, float, float) - Constructor for class org.openimaj.image.processing.resize.FixedResizeProcessor
-
Construct a fixed resize processor that will rescale the image to the given
width and height with the default filter function.
- FixedResizeProcessor(FImage, int, int) - Constructor for class org.openimaj.image.processing.resize.FixedResizeProcessor
-
- fixedSize - Variable in class org.openimaj.image.feature.global.Gist
-
- FixedSizeBlockingChunkPartitioner<T> - Class in org.openimaj.util.parallel.partition
-
- FixedSizeBlockingChunkPartitioner(Queue<T>) - Constructor for class org.openimaj.util.parallel.partition.FixedSizeBlockingChunkPartitioner
-
Construct with data in the form of a
Queue
.
- FixedSizeBlockingChunkPartitioner(Queue<T>, int) - Constructor for class org.openimaj.util.parallel.partition.FixedSizeBlockingChunkPartitioner
-
Construct with data in the form of an
Queue
and the given number
of items per chunk.
- FixedSizeChunkPartitioner<T> - Class in org.openimaj.util.parallel.partition
-
- FixedSizeChunkPartitioner(Iterable<T>) - Constructor for class org.openimaj.util.parallel.partition.FixedSizeChunkPartitioner
-
Construct with data in the form of an
Iterable
.
- FixedSizeChunkPartitioner(Iterable<T>, int) - Constructor for class org.openimaj.util.parallel.partition.FixedSizeChunkPartitioner
-
Construct with data in the form of an
Iterable
and the given
number of items per chunk.
- FixedSizeSampleAudioProcessor - Class in org.openimaj.audio.processor
-
Provides an audio processor that will process sample chunks of specific sizes
when the incoming stream's sample chunk size is unknown.
- FixedSizeSampleAudioProcessor(int) - Constructor for class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Create processor that will process chunks of the given size.
- FixedSizeSampleAudioProcessor(AudioStream, int) - Constructor for class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Create processor that will process chunks of the given size.
- FixedSizeSampleAudioProcessor(int, int) - Constructor for class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Constructor that takes the size of the window and the size of the window
overlap.
- FixedSizeSampleAudioProcessor(AudioStream, int, int) - Constructor for class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Chainable constructor that takes the size of the window and the number of
samples overlap.
- FKEFaceDetector - Class in org.openimaj.image.processing.face.detection.keypoints
-
F(rontal)K(eypoint)E(nriched)FaceDetector uses an underlying face detector to
detect frontal faces in an image, and then looks for facial keypoints within
the detections.
- FKEFaceDetector() - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
Default constructor.
- FKEFaceDetector(int) - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
- FKEFaceDetector(float) - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
Default constructor.
- FKEFaceDetector(int, float) - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
Construct with a standard
HaarCascadeDetector
and the given
minimum search size, and the given scale-factor for extracting the face
patch.
- FKEFaceDetector(FaceDetector<? extends DetectedFace, FImage>) - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
Construct with the given underlying (frontal) face detector.
- FKEFaceDetector(FaceDetector<? extends DetectedFace, FImage>, float) - Constructor for class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
Construct with the given underlying (frontal) face detector, and the
given scale-factor for extracting the face patch.
- flag - Variable in class org.openimaj.image.processing.restoration.inpainting.AbstractFMMInpainter
-
The working flag image
- flag - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
The raw flags
- flags - Variable in class org.openimaj.web.readability.Readability
-
- FLASH - Static variable in class org.openimaj.workinprogress.SignProgrammer
-
- flatten() - Method in class org.openimaj.image.MBFImage
-
- flatten() - Method in class org.openimaj.image.MultiBandImage
-
Flatten the bands into a single band using the average value of the
pixels at each location.
- flatten() - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
In some way flatten the held time series such that the output is:
- flatten() - Method in class org.openimaj.ml.timeseries.series.DoubleSynchronisedTimeSeriesCollection
-
- flattenClassStructure - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
Whether to flatten the properties in the class structure
- flattenListGroupedDataset(GroupedDataset<ANN, ? extends ListDataset<List<INSTANCE>>, ? extends List<INSTANCE>>) - Static method in class org.openimaj.experiment.dataset.util.DatasetAdaptors
-
if you have a grouped dataset where the groups contains lists of feature
objects (i.e.
- flattenMax() - Method in class org.openimaj.image.MBFImage
-
- flattenMax() - Method in class org.openimaj.image.MultiBandImage
-
Flatten the bands into a single band by selecting the maximum value pixel
from each band.
- FleissInterraterAgreement - Class in org.openimaj.experiment.evaluation.agreement
-
Calculates Fleiss inter-rater agreement - a version of Cohen's kappa that
works with multiple raters.
- FleissInterraterAgreement() - Constructor for class org.openimaj.experiment.evaluation.agreement.FleissInterraterAgreement
-
- FlexibleHOGStrategy - Class in org.openimaj.image.feature.dense.gradient.binning
-
- FlexibleHOGStrategy(int, int, int) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy
-
Construct with the given number of cells per window (or image).
- FlexibleHOGStrategy(int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy
-
Construct with the given number of cells per window (or image).
- FlexibleHOGStrategy(int, int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy
-
Construct with the given number of cells per window (or image).
- FlexibleHOGStrategy(int, int, int, int, int, int, FixedHOGStrategy.BlockNormalisation) - Constructor for class org.openimaj.image.feature.dense.gradient.binning.FlexibleHOGStrategy
-
Construct with the given number of cells per window (or image).
- flickr - Variable in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection
-
- FlickrAPIToken - Class in org.openimaj.util.api.auth.common
-
An authentication token for the Flickr API.
- FlickrAPIToken() - Constructor for class org.openimaj.util.api.auth.common.FlickrAPIToken
-
Construct an empty token.
- FlickrAPIToken(String, String) - Constructor for class org.openimaj.util.api.auth.common.FlickrAPIToken
-
Construct a token with the given parameters.
- FlickrBaseEncoder - Class in org.openimaj.web.flickr
-
For Flickr's URL shortening
- FlickrBaseEncoder() - Constructor for class org.openimaj.web.flickr.FlickrBaseEncoder
-
- FlickrImage - Class in org.openimaj.web.flickr
-
A wrapper for Flickr images, and their URLs and what not.
- FlickrImage(long, int, int, String, char, String) - Constructor for class org.openimaj.web.flickr.FlickrImage
-
- FlickrImageDataset<IMAGE extends Image<?,IMAGE>> - Class in org.openimaj.image.dataset
-
Class to dynamically create image datasets from flickr through various api
calls.
- FlickrImageDataset(InputStreamObjectReader<IMAGE>, List<Photo>) - Constructor for class org.openimaj.image.dataset.FlickrImageDataset
-
- FlickrImageDataset.Size - Enum in org.openimaj.image.dataset
-
Possible sizes of image from flickr.
- FlickrPhotoCollection() - Constructor for class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.FlickrPhotoCollection
-
- FlickrPhotoSet() - Constructor for class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.FlickrPhotoSet
-
- flickrProcess(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.FlickrPhotoCollection
-
- flickrProcess(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.FlickrPhotoSet
-
- flickrProcess(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection
-
- flickrProcess(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.Gallery
-
- flickrUseable(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.FlickrPhotoCollection
-
- flickrUseable(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.FlickrPhotoSet
-
- flickrUseable(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection
-
- flickrUseable(String) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.Gallery
-
- FlickrWebpageImageCollection - Class in org.openimaj.tools.imagecollection.collection.webpage
-
- FlickrWebpageImageCollection() - Constructor for class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection
-
- FlickrWebpageImageCollection.FlickrPhotoCollection - Class in org.openimaj.tools.imagecollection.collection.webpage
-
- FlickrWebpageImageCollection.FlickrPhotoSet - Class in org.openimaj.tools.imagecollection.collection.webpage
-
- FlickrWebpageImageCollection.Gallery - Class in org.openimaj.tools.imagecollection.collection.webpage
-
- FLineSampler - Enum in org.openimaj.image.pixel.sampling
-
Methods for sampling along a line in an
FImage
.
- flipX() - Method in class org.openimaj.image.FImage
-
- flipX() - Method in class org.openimaj.image.Image
-
Flips the content horizontally.
- flipX() - Method in class org.openimaj.image.MultiBandImage
-
- flipX() - Method in class org.openimaj.image.SVGImage
-
- flipY() - Method in class org.openimaj.image.FImage
-
- flipY() - Method in class org.openimaj.image.Image
-
Flips the content vertically.
- flipY() - Method in class org.openimaj.image.MultiBandImage
-
- flipY() - Method in class org.openimaj.image.SVGImage
-
- FloatADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product
Quantised vectors.
- FloatADCNearestNeighbours(FloatProductQuantiser, float[][]) - Constructor for class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- FloatADCNearestNeighbours(FloatProductQuantiser, byte[][], int) - Constructor for class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
Construct the ADC with the given quantiser and pre-quantised data .
- FloatArrayBackedDataSource - Class in org.openimaj.data
-
- FloatArrayBackedDataSource(float[][]) - Constructor for class org.openimaj.data.FloatArrayBackedDataSource
-
Construct with data
- FloatArrayBackedDataSource(float[][], Random) - Constructor for class org.openimaj.data.FloatArrayBackedDataSource
-
Construct with data and a random generator for random sampling
- FloatArrayStatsUtils - Class in org.openimaj.math.util
-
Some basic statistical operations on float arrays
- FloatArrayStatsUtils() - Constructor for class org.openimaj.math.util.FloatArrayStatsUtils
-
- FloatArrayValueAnimator - Class in org.openimaj.content.animation.animator
-
- FloatArrayValueAnimator(ValueAnimator<Float>...) - Constructor for class org.openimaj.content.animation.animator.FloatArrayValueAnimator
-
- FloatArrayView - Class in org.openimaj.util.array
-
A wrapper around a java float array that allows
views onto the array to be created without the
overhead of maintaining copies of the data.
- FloatArrayView(float[], int, int) - Constructor for class org.openimaj.util.array.FloatArrayView
-
Create a view on the given array from l (inclusive) to
r (exclusive).
- FloatArrayView(float[]) - Constructor for class org.openimaj.util.array.FloatArrayView
-
Create a view on the entirety of the given array.
- FloatArrayView(int) - Constructor for class org.openimaj.util.array.FloatArrayView
-
Create a view on an array of length n.
- floatAxis() - Method in class org.openimaj.vis.general.BarVisualisation
-
Allow the x-axis to move as best to fit the data
- floatAxis() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Allow the x-axis to move as best to fit the data
- FloatBytePair - Class in org.openimaj.util.pair
-
A pair of float and byte types
- FloatBytePair(float, byte) - Constructor for class org.openimaj.util.pair.FloatBytePair
-
Construct pair with given values
- FloatBytePair() - Constructor for class org.openimaj.util.pair.FloatBytePair
-
Construct empty pair
- FloatCauchyFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that use a Cauchy
distribution to approximate L1 distance.
- FloatCauchyFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.FloatCauchyFactory
-
Construct the factory with the given parameters.
- FloatCentroidsResult - Class in org.openimaj.ml.clustering
-
- FloatCentroidsResult() - Constructor for class org.openimaj.ml.clustering.FloatCentroidsResult
-
- FloatDCT_1D - Class in edu.emory.mathcs.jtransforms.dct
-
Computes 1D Discrete Cosine Transform (DCT) of single precision data.
- FloatDCT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dct.FloatDCT_1D
-
Creates new instance of FloatDCT_1D.
- FloatDCT_2D - Class in edu.emory.mathcs.jtransforms.dct
-
Computes 2D Discrete Cosine Transform (DCT) of single precision data.
- FloatDCT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dct.FloatDCT_2D
-
Creates new instance of FloatDCT_2D.
- FloatDCT_3D - Class in edu.emory.mathcs.jtransforms.dct
-
Computes 3D Discrete Cosine Transform (DCT) of single precision data.
- FloatDCT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dct.FloatDCT_3D
-
Creates new instance of FloatDCT_3D.
- FloatDHT_1D - Class in edu.emory.mathcs.jtransforms.dht
-
Computes 1D Discrete Hartley Transform (DHT) of real, single precision data.
- FloatDHT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dht.FloatDHT_1D
-
Creates new instance of FloatDHT_1D.
- FloatDHT_2D - Class in edu.emory.mathcs.jtransforms.dht
-
Computes 2D Discrete Hartley Transform (DHT) of real, single precision data.
- FloatDHT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dht.FloatDHT_2D
-
Creates new instance of FloatDHT_2D.
- FloatDHT_3D - Class in edu.emory.mathcs.jtransforms.dht
-
Computes 3D Discrete Hartley Transform (DHT) of real, single precision data.
- FloatDHT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dht.FloatDHT_3D
-
Creates new instance of FloatDHT_3D.
- FloatDoublePair - Class in org.openimaj.util.pair
-
A pair of float and double types
- FloatDoublePair(float, double) - Constructor for class org.openimaj.util.pair.FloatDoublePair
-
Construct pair with given values
- FloatDoublePair() - Constructor for class org.openimaj.util.pair.FloatDoublePair
-
Construct empty pair
- FloatDSIFTKeypoint - Class in org.openimaj.image.feature.dense.gradient.dsift
-
Dense SIFT keypoint with a location and float feature vector.
- FloatDSIFTKeypoint() - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
-
Construct with the default feature vector length for SIFT (128).
- FloatDSIFTKeypoint(int) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
-
Construct with the given feature vector length.
- FloatDSIFTKeypoint(float, float, float[], float) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
-
Construct with the given parameters.
- FloatDST_1D - Class in edu.emory.mathcs.jtransforms.dst
-
Computes 1D Discrete Sine Transform (DST) of single precision data.
- FloatDST_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.dst.FloatDST_1D
-
Creates new instance of FloatDST_1D.
- FloatDST_2D - Class in edu.emory.mathcs.jtransforms.dst
-
Computes 2D Discrete Sine Transform (DST) of single precision data.
- FloatDST_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.dst.FloatDST_2D
-
Creates new instance of FloatDST_2D.
- FloatDST_3D - Class in edu.emory.mathcs.jtransforms.dst
-
Computes 3D Discrete Sine Transform (DST) of single precision data.
- FloatDST_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.dst.FloatDST_3D
-
Creates new instance of FloatDST_3D.
- FloatFFT_1D - Class in edu.emory.mathcs.jtransforms.fft
-
Computes 1D Discrete Fourier Transform (DFT) of complex and real, single
precision data.
- FloatFFT_1D(int) - Constructor for class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Creates new instance of FloatFFT_1D.
- FloatFFT_2D - Class in edu.emory.mathcs.jtransforms.fft
-
Computes 2D Discrete Fourier Transform (DFT) of complex and real, single
precision data.
- FloatFFT_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Creates new instance of FloatFFT_2D.
- FloatFFT_3D - Class in edu.emory.mathcs.jtransforms.fft
-
Computes 3D Discrete Fourier Transform (DFT) of complex and real, single
precision data.
- FloatFFT_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Creates new instance of FloatFFT_3D.
- FloatFloatPair - Class in org.openimaj.util.pair
-
A pair of float and float types
- FloatFloatPair(float, float) - Constructor for class org.openimaj.util.pair.FloatFloatPair
-
Construct pair with given values
- FloatFloatPair() - Constructor for class org.openimaj.util.pair.FloatFloatPair
-
Construct empty pair
- FloatFV - Class in org.openimaj.feature
-
Basic float single-dimensional feature vector implementation
- FloatFV() - Constructor for class org.openimaj.feature.FloatFV
-
Construct an empty feature vector
- FloatFV(int) - Constructor for class org.openimaj.feature.FloatFV
-
Construct empty FV with given number of bins
- FloatFV(float[]) - Constructor for class org.openimaj.feature.FloatFV
-
Construct from flattened values array and dimensions
- FloatFV2FImage - Class in org.openimaj.image.feature
-
- FloatFV2FImage(int, int) - Constructor for class org.openimaj.image.feature.FloatFV2FImage
-
Construct the converter with the given image size
- FloatFVComparator - Interface in org.openimaj.feature
-
Comparison/distance methods for FloatFV objects.
- FloatFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for FloatFV objects.
- FloatGaussianFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions using Gaussian
distributions to approximate the Euclidean distance.
- FloatGaussianFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.FloatGaussianFactory
-
Construct with the given parameters.
- FloatHammingFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that approximate the
Hamming distance.
- FloatHammingFactory(int, MersenneTwister, int) - Constructor for class org.openimaj.lsh.functions.FloatHammingFactory
-
Construct a new factory using the given parameters.
- FloatHashFunction - Class in org.openimaj.lsh.functions
-
- FloatHashFunctionFactory - Class in org.openimaj.lsh.functions
-
- FloatHashFunctionFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.FloatHashFunctionFactory
-
- FloatHyperplaneCosineFactory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate cosine
distance using hyperplanes.
- FloatHyperplaneCosineFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.FloatHyperplaneCosineFactory
-
Construct with the given arguments.
- FloatHyperplaneL1Factory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate L1
(city-block) distance in closed spaces using random axis-aligned hyperplanes.
- FloatHyperplaneL1Factory(int, MersenneTwister, float, float) - Constructor for class org.openimaj.lsh.functions.FloatHyperplaneL1Factory
-
Construct with the given arguments.
- FloatIntPair - Class in org.openimaj.util.pair
-
A pair of float and int types
- FloatIntPair(float, int) - Constructor for class org.openimaj.util.pair.FloatIntPair
-
Construct pair with given values
- FloatIntPair() - Constructor for class org.openimaj.util.pair.FloatIntPair
-
Construct empty pair
- FloatKDTree - Class in org.openimaj.util.tree
-
Immutable KD-Tree implementation for float[] data.
- FloatKDTree(float[][]) - Constructor for class org.openimaj.util.tree.FloatKDTree
-
- FloatKDTree(float[][], FloatKDTree.SplitChooser) - Constructor for class org.openimaj.util.tree.FloatKDTree
-
Construct with the given data and splitting strategy
- FloatKDTree.ApproximateBBFMedianSplit - Class in org.openimaj.util.tree
-
Approximate best-bin-first median splitting.
- FloatKDTree.BasicMedianSplit - Class in org.openimaj.util.tree
-
Basic median split.
- FloatKDTree.BBFMedianSplit - Class in org.openimaj.util.tree
-
Best-bin-first median splitting.
- FloatKDTree.KDTreeNode - Class in org.openimaj.util.tree
-
An internal node of the KDTree
- FloatKDTree.RandomisedBBFMeanSplit - Class in org.openimaj.util.tree
-
Randomised best-bin-first splitting strategy:
Nodes with less than a set number of items become leafs.
- FloatKDTree.SplitChooser - Interface in org.openimaj.util.tree
-
Interface for describing how a branch in the KD-Tree should be created
- FloatKDTreeEnsemble - Class in org.openimaj.knn.approximate
-
Ensemble of Best-Bin-First KDTrees for float data.
- FloatKDTreeEnsemble(float[][]) - Constructor for class org.openimaj.knn.approximate.FloatKDTreeEnsemble
-
Construct a FloatKDTreeEnsemble with the provided data,
using the default of 8 trees.
- FloatKDTreeEnsemble(float[][], int) - Constructor for class org.openimaj.knn.approximate.FloatKDTreeEnsemble
-
Construct a FloatKDTreeEnsemble with the provided data and
number of trees.
- FloatKDTreeEnsemble(float[][], int, int) - Constructor for class org.openimaj.knn.approximate.FloatKDTreeEnsemble
-
Construct a FloatKDTreeEnsemble with the provided data and
number of trees.
- FloatKDTreeEnsemble.FloatKDTreeNode - Class in org.openimaj.knn.approximate
-
An internal node of the KDTree
- FloatKDTreeNode() - Constructor for class org.openimaj.knn.approximate.FloatKDTreeEnsemble.FloatKDTreeNode
-
Construct a new node
- FloatKDTreeNode(float[][], IntArrayView, Uniform) - Constructor for class org.openimaj.knn.approximate.FloatKDTreeEnsemble.FloatKDTreeNode
-
Construct a new node with the given data
- FloatKeypoint - Class in org.openimaj.image.feature.local.keypoints
-
A local interest point with a location, scale, orientation and associated
feature.
- FloatKeypoint() - Constructor for class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
Construct with the default feature vector length for SIFT (128).
- FloatKeypoint(int) - Constructor for class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
Construct with the given feature vector length.
- FloatKeypoint(float, float, float, float, float[]) - Constructor for class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
Construct with the given parameters.
- FloatKeypoint(FloatKeypoint) - Constructor for class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- FloatKeypoint(Keypoint) - Constructor for class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- FloatKMeans - Class in org.openimaj.ml.clustering.kmeans
-
Fast, parallel implementation of the K-Means algorithm with support for
bigger-than-memory data.
- FloatKMeans(KMeansConfiguration<FloatNearestNeighbours, float[]>) - Constructor for class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Construct the clusterer with the the given configuration.
- FloatKMeans() - Constructor for class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
A completely default
FloatKMeans
used primarily as a convenience function for reading.
- FloatKMeans.Result - Class in org.openimaj.ml.clustering.kmeans
-
Result object for FloatKMeans, extending FloatCentroidsResult and FloatNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
- FloatKMeansInit - Class in org.openimaj.ml.clustering.kmeans
-
Initialisation for K-Means clustering.
- FloatKMeansInit() - Constructor for class org.openimaj.ml.clustering.kmeans.FloatKMeansInit
-
- FloatKMeansInit.RANDOM - Class in org.openimaj.ml.clustering.kmeans
-
Simple kmeans initialized on randomly selected samples.
- FloatKNNAssigner - Class in org.openimaj.ml.clustering.assignment.soft
-
A
SoftAssigner
that picks a fixed number of nearest neighbours.
- FloatKNNAssigner(CentroidsProvider<float[]>, boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
Construct the assigner using the given cluster data.
- FloatKNNAssigner(float[][], boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
Construct the assigner using the given cluster data.
- FloatKNNAssigner(CentroidsProvider<float[]>, FloatFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- FloatKNNAssigner(float[][], FloatFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- FloatLocalFeatureAdaptor<L extends Location> - Class in org.openimaj.feature.local
-
This class is designed as a wrapper around any form of local feature and
provides a way of exposing that feature as a
FloatFV
, without the
cost of necessarily storing the underlying feature as a
FloatFV
.
- FloatLocalFeatureAdaptor(LocalFeature<L, ?>) - Constructor for class org.openimaj.feature.local.FloatLocalFeatureAdaptor
-
- FloatLocalFeatureAdaptor(LocalFeature<L, ?>, Normaliser<FloatFV>) - Constructor for class org.openimaj.feature.local.FloatLocalFeatureAdaptor
-
- FloatLongPair - Class in org.openimaj.util.pair
-
A pair of float and long types
- FloatLongPair(float, long) - Constructor for class org.openimaj.util.pair.FloatLongPair
-
Construct pair with given values
- FloatLongPair() - Constructor for class org.openimaj.util.pair.FloatLongPair
-
Construct empty pair
- FloatNearestNeighbours - Class in org.openimaj.knn
-
Abstract base class for k-nearest-neighbour calculations with float[] data.
- FloatNearestNeighbours() - Constructor for class org.openimaj.knn.FloatNearestNeighbours
-
- FloatNearestNeighboursExact - Class in org.openimaj.knn
-
Exact (brute-force) k-nearest-neighbour implementation.
- FloatNearestNeighboursExact(float[][]) - Constructor for class org.openimaj.knn.FloatNearestNeighboursExact
-
Construct the FloatNearestNeighboursExact over the provided
dataset and using Euclidean distance.
- FloatNearestNeighboursExact(float[][], FloatFVComparator) - Constructor for class org.openimaj.knn.FloatNearestNeighboursExact
-
Construct the FloatNearestNeighboursExact over the provided
dataset with the given distance function.
- FloatNearestNeighboursExact.Factory - Class in org.openimaj.knn
-
- FloatNearestNeighboursKDTree - Class in org.openimaj.knn.approximate
-
Fast Nearest-Neighbours for float data using an ensemble of Best-Bin-First KDTrees.
- FloatNearestNeighboursKDTree(float[][], int, int) - Constructor for class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
Construct the FloatNearestNeighboursKDTree with the given options.
- FloatNearestNeighboursKDTree.Factory - Class in org.openimaj.knn.approximate
-
- FloatNearestNeighboursProvider - Interface in org.openimaj.knn
-
Interface for classes able to expose a k-nearest-neighbour object.
- FloatObjectPair<Q> - Class in org.openimaj.util.pair
-
A pair of float and a generic type
- FloatObjectPair(float, Q) - Constructor for class org.openimaj.util.pair.FloatObjectPair
-
Construct pair with given values
- FloatObjectPair() - Constructor for class org.openimaj.util.pair.FloatObjectPair
-
Construct empty pair
- FloatProductQuantiser - Class in org.openimaj.knn.pq
-
Implementation of a Product Quantiser for vectors/arrays of floats.
- FloatProductQuantiser(FloatNearestNeighboursExact[]) - Constructor for class org.openimaj.knn.pq.FloatProductQuantiser
-
- FloatProductQuantiserUtilities - Class in org.openimaj.knn.pq
-
- FloatPStableFactory - Class in org.openimaj.lsh.functions
-
Base class for hashing schemes based on P-Stable distributions.
- FloatPStableFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.FloatPStableFactory
-
Construct with the given parameters.
- FloatPStableFactory.PStableFunction - Class in org.openimaj.lsh.functions
-
- FloatSampleBuffer - Class in org.openimaj.audio.samples
-
An implementation of a sample buffer that maintains the floating point
precision values.
- FloatSampleBuffer(float[], AudioFormat) - Constructor for class org.openimaj.audio.samples.FloatSampleBuffer
-
- FloatSampleBuffer(double[], AudioFormat) - Constructor for class org.openimaj.audio.samples.FloatSampleBuffer
-
- FloatSDCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Symmetric Distance Computation (SDC) on Product
Quantised vectors.
- FloatSDCNearestNeighbours(FloatProductQuantiser, float[][][], float[][]) - Constructor for class org.openimaj.knn.pq.FloatSDCNearestNeighbours
-
Construct the SDC with the given quantiser, centroids (corresponding to
the quantiser's internal assigners), and data.
- FloatShortPair - Class in org.openimaj.util.pair
-
A pair of float and short types
- FloatShortPair(float, short) - Constructor for class org.openimaj.util.pair.FloatShortPair
-
Construct pair with given values
- FloatShortPair() - Constructor for class org.openimaj.util.pair.FloatShortPair
-
Construct empty pair
- FloodFill<I extends Image<?,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.analysis.algorithm
-
Flood-fill of @link{FImage}s or @link{MBFImage}s.
- FloodFill(int, int, float) - Constructor for class org.openimaj.image.analysis.algorithm.FloodFill
-
Construct flood-fill processor with the given threshold and starting
coordinate.
- FloodFill(Pixel, float) - Constructor for class org.openimaj.image.analysis.algorithm.FloodFill
-
Construct flood-fill processor with the given threshold and starting
coordinate.
- floodFill(Image<T, ?>, int, int, float) - Static method in class org.openimaj.image.analysis.algorithm.FloodFill
-
Flood-fill an image from the given starting pixel position with the given
threshold.
- floodFill(Image<T, ?>, Pixel, float) - Static method in class org.openimaj.image.analysis.algorithm.FloodFill
-
Flood-fill an image from the given starting pixel position with the given
threshold.
- floodFill(FImage, Pixel, int[][], int) - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
-
- floodFill(FImage, Pixel) - Static method in class org.openimaj.image.pixel.ConnectedComponent
-
Performs a flood fill on the given image starting at the given pixel.
- flush_all_queues() - Method in class backtype.storm.spout.KestrelThriftClient
-
- flush_all_queues(AsyncMethodCallback<Kestrel.AsyncClient.flush_all_queues_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- flush_all_queues(AsyncMethodCallback<Kestrel.AsyncClient.flush_all_queues_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- flush_all_queues() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- flush_all_queues() - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- flush_all_queues_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- flush_all_queues_args(Kestrel.flush_all_queues_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
Performs a deep copy on other.
- flush_all_queues_call(AsyncMethodCallback<Kestrel.AsyncClient.flush_all_queues_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.flush_all_queues_call
-
- flush_all_queues_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- flush_all_queues_result(Kestrel.flush_all_queues_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
Performs a deep copy on other.
- flush_queue(String) - Method in class backtype.storm.spout.KestrelThriftClient
-
- flush_queue(String, AsyncMethodCallback<Kestrel.AsyncClient.flush_queue_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- flush_queue(String, AsyncMethodCallback<Kestrel.AsyncClient.flush_queue_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- flush_queue(String) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- flush_queue(String) - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- flush_queue_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- flush_queue_args(String) - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- flush_queue_args(Kestrel.flush_queue_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
Performs a deep copy on other.
- flush_queue_call(String, AsyncMethodCallback<Kestrel.AsyncClient.flush_queue_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.flush_queue_call
-
- flush_queue_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- flush_queue_result(Kestrel.flush_queue_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
Performs a deep copy on other.
- FMeanVarianceField - Class in org.openimaj.video.processing.pixels
-
Compute the mean and variance fields from a video of
FImage
frames.
- FMeanVarianceField() - Constructor for class org.openimaj.video.processing.pixels.FMeanVarianceField
-
- FMOptions() - Constructor for class org.openimaj.audio.generation.Synthesizer.FMOptions
-
- FN - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
The total number of pairs in different clusters which belong to the same class
- FNormalLandmarkModel - Class in org.openimaj.image.model.landmark
-
- FNormalLandmarkModel(PointListConnections, FLineSampler, int, int, float) - Constructor for class org.openimaj.image.model.landmark.FNormalLandmarkModel
-
Default constructor.
- FNormalLandmarkModel.Factory - Class in org.openimaj.image.model.landmark
-
- Fold(int[], int[], int[]) - Constructor for class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator.Fold
-
- FOLD_ROOT(int) - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- followRedirects() - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloaderOptions
-
- follows - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
Indicates that one UserAccount follows another UserAccount (e.g.
- Font<F extends Font<F>> - Interface in org.openimaj.image.typography
-
- FONT - Static variable in class org.openimaj.image.typography.FontStyle
-
Attribute for the font.
- font - Variable in class org.openimaj.image.typography.FontStyle
-
The font
- FONT_SIZE - Static variable in class org.openimaj.image.typography.FontStyle
-
Attribute for font size.
- FontRenderer<T,Q extends FontStyle<T>> - Class in org.openimaj.image.typography
-
The FontRenderer represents an object capable of rendering text with
a given font and style to an image.
- FontRenderer() - Constructor for class org.openimaj.image.typography.FontRenderer
-
- FontSimulator<Q,I extends Image<Q,I>> - Class in org.openimaj.tools.ocr
-
Class that will generate images containing a rendering of a String in
a random font that has been randomly affected - the idea is to simulate
real-world images in a controlled way for training or testing OCR.
- FontSimulator(String) - Constructor for class org.openimaj.tools.ocr.FontSimulator
-
Create a font simulator that will output the given text string.
- FontSimulator.FontSimListener<I> - Interface in org.openimaj.tools.ocr
-
This is an interface for objects that are interested in listening
for when the
FontSimulator
creates an image during one of its
runs.
- fontSize - Variable in class org.openimaj.image.typography.FontStyle
-
Font size in pixels
- FontStyle<T> - Class in org.openimaj.image.typography
-
Base class for the representation of font styles.
- FontStyle(Font<?>, ImageRenderer<T, ?>) - Constructor for class org.openimaj.image.typography.FontStyle
-
- FontStyle(Font<?>, T) - Constructor for class org.openimaj.image.typography.FontStyle
-
- FontStyle.FontStyleAttribute - Class in org.openimaj.image.typography
-
- FontStyle.HorizontalAlignment - Enum in org.openimaj.image.typography
-
Horizontal alignment options
- FontStyle.VerticalAlignment - Enum in org.openimaj.image.typography
-
Vertical alignment options
- FontStyleAttribute(String) - Constructor for class org.openimaj.image.typography.FontStyle.FontStyleAttribute
-
Default constructor
- FORCE_SPARCITY - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
Should all parameter matricies be held
SparseMatrix
instances and
therefore remain sparse.
- forceRM - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- forceWait() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale
-
Helper method for debugging when viewing images
- forEach(Iterable<T>, Operation<T>, ThreadPoolExecutor) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel ForEach loop over
Iterable
data.
- forEach(Iterable<T>, Operation<T>) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel ForEach loop over
Iterable
data.
- forEach(Partitioner<T>, Operation<T>) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel ForEach loop over partitioned data.
- forEach(Partitioner<T>, Operation<T>, ThreadPoolExecutor) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel ForEach loop over partitioned data.
- forEach(Operation<T>) - Method in class org.openimaj.util.stream.AbstractStream
-
- forEach(Operation<T>, Predicate<T>) - Method in class org.openimaj.util.stream.AbstractStream
-
- forEach(Operation<T>, int) - Method in class org.openimaj.util.stream.AbstractStream
-
- forEach(Operation<T>) - Method in interface org.openimaj.util.stream.Stream
-
Apply the given
Operation
to each item in the stream.
- forEach(Operation<T>, Predicate<T>) - Method in interface org.openimaj.util.stream.Stream
-
Apply the given
Operation
to each item in the stream.
- forEach(Operation<T>, int) - Method in interface org.openimaj.util.stream.Stream
-
Apply the given
Operation
to each item in the stream.
- forEachPartitioned(Partitioner<T>, Operation<Iterator<T>>, ThreadPoolExecutor) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel ForEach loop over partitioned data with batches of data.
- forEachPartitioned(Partitioner<T>, Operation<Iterator<T>>) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel ForEach loop over batched partitioned data.
- forEachUnpartitioned(Iterator<T>, Operation<T>) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel ForEach loop over unpartitioned data.
- forEachUnpartitioned(Iterator<T>, Operation<T>, ThreadPoolExecutor) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel ForEach loop over unpartitioned data.
- forIndex(int, int, int, Operation<Integer>, ThreadPoolExecutor) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel integer for loop.
- forIndex(int, int, int, Operation<Integer>) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel integer for loop.
- format - Variable in class org.openimaj.audio.Audio
-
The format of the audio in this audio object
- format(Reference) - Method in interface org.openimaj.citation.annotation.output.ReferenceFormatter
-
Format a single reference
- format(Collection<Reference>) - Method in interface org.openimaj.citation.annotation.output.ReferenceFormatter
-
Format a multiples references
- format(Reference) - Method in enum org.openimaj.citation.annotation.output.StandardFormatters
-
- format(Collection<Reference>) - Method in enum org.openimaj.citation.annotation.output.StandardFormatters
-
- format(Map<String, SummaryStatistics>) - Static method in class org.openimaj.experiment.agent.TimeTracker
-
Pretty-print a map of times
- format(SummaryStatistics) - Static method in class org.openimaj.experiment.agent.TimeTracker
-
Pretty print a time
- format(Logger, String, Level, Object...) - Static method in class org.openimaj.logger.LoggerUtils
-
- formatRefs(Iterable<Reference>) - Method in enum org.openimaj.citation.annotation.output.StandardFormatters
-
- forRange(int, int, int, Operation<Parallel.IntRange>) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel integer for loop.
- forRange(int, int, int, Operation<Parallel.IntRange>, ThreadPoolExecutor) - Static method in class org.openimaj.util.parallel.Parallel
-
Parallel integer for loop.
- Forum - Interface in orgrdfs.sioc.ns
-
A discussion area on which Posts or entries are made.
- ForumImpl - Class in orgrdfs.sioc.ns
-
A discussion area on which Posts or entries are made.
- ForumImpl() - Constructor for class orgrdfs.sioc.ns.ForumImpl
-
- forward(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_1D
-
Computes 1D forward DCT (DCT-II) leaving the result in a
.
- forward(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_1D
-
Computes 1D forward DCT (DCT-II) leaving the result in a
.
- forward(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_2D
-
Computes 2D forward DCT (DCT-II) leaving the result in a
.
- forward(double[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_2D
-
Computes 2D forward DCT (DCT-II) leaving the result in a
.
- forward(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_3D
-
Computes the 3D forward DCT (DCT-II) leaving the result in a
.
- forward(double[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_3D
-
Computes the 3D forward DCT (DCT-II) leaving the result in a
.
- forward(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_1D
-
Computes 1D forward DCT (DCT-II) leaving the result in a
.
- forward(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_1D
-
Computes 1D forward DCT (DCT-II) leaving the result in a
.
- forward(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_2D
-
Computes 2D forward DCT (DCT-II) leaving the result in a
.
- forward(float[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_2D
-
Computes 2D forward DCT (DCT-II) leaving the result in a
.
- forward(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_3D
-
Computes the 3D forward DCT (DCT-II) leaving the result in a
.
- forward(float[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_3D
-
Computes the 3D forward DCT (DCT-II) leaving the result in a
.
- forward(double[]) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_1D
-
Computes 1D real, forward DHT leaving the result in a
.
- forward(double[], int) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_1D
-
Computes 1D real, forward DHT leaving the result in a
.
- forward(double[]) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_2D
-
Computes 2D real, forward DHT leaving the result in a
.
- forward(double[][]) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_2D
-
Computes 2D real, forward DHT leaving the result in a
.
- forward(double[]) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_3D
-
Computes the 3D real, forward DHT leaving the result in a
.
- forward(double[][][]) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_3D
-
Computes the 3D real, forward DHT leaving the result in a
.
- forward(float[]) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_1D
-
Computes 1D real, forward DHT leaving the result in a
.
- forward(float[], int) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_1D
-
Computes 1D real, forward DHT leaving the result in a
.
- forward(float[]) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_2D
-
Computes 2D real, forward DHT leaving the result in a
.
- forward(float[][]) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_2D
-
Computes 2D real, forward DHT leaving the result in a
.
- forward(float[]) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_3D
-
Computes the 3D real, forward DHT leaving the result in a
.
- forward(float[][][]) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_3D
-
Computes the 3D real, forward DHT leaving the result in a
.
- forward(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_1D
-
Computes 1D forward DST (DST-II) leaving the result in a
.
- forward(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_1D
-
Computes 1D forward DST (DST-II) leaving the result in a
.
- forward(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_2D
-
Computes 2D forward DST (DST-II) leaving the result in a
.
- forward(double[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_2D
-
Computes 2D forward DST (DST-II) leaving the result in a
.
- forward(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_3D
-
Computes the 3D forward DST (DST-II) leaving the result in a
.
- forward(double[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_3D
-
Computes the 3D forward DST (DST-II) leaving the result in a
.
- forward(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_1D
-
Computes 1D forward DST (DST-II) leaving the result in a
.
- forward(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_1D
-
Computes 1D forward DST (DST-II) leaving the result in a
.
- forward(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_2D
-
Computes 2D forward DST (DST-II) leaving the result in a
.
- forward(float[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_2D
-
Computes 2D forward DST (DST-II) leaving the result in a
.
- forward(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_3D
-
Computes the 3D forward DST (DST-II) leaving the result in a
.
- forward(float[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_3D
-
Computes the 3D forward DST (DST-II) leaving the result in a
.
- ForwardBackwardLoopingValueAnimator<T> - Class in org.openimaj.content.animation.animator
-
- ForwardBackwardLoopingValueAnimator(ReversableValueAnimator<T>) - Constructor for class org.openimaj.content.animation.animator.ForwardBackwardLoopingValueAnimator
-
- FOTOLOG - Static variable in class org.openimaj.web.scraping.images.CommonHTMLConsumers
-
Consumer for fotolog.com
- foundInterestPoint(OctaveInterestPointFinder<OCTAVE, IMAGE>, float, float, float) - Method in class org.openimaj.image.feature.local.detector.dog.collector.ConcreteOctaveLocalFeatureCollector
-
- foundInterestPoint(OctaveInterestPointFinder<GaussianOctave<IMAGE>, IMAGE>, float, float, float) - Method in class org.openimaj.image.feature.local.detector.dog.collector.OctaveKeypointCollector
-
- foundInterestPoint(OctaveInterestPointFinder<GaussianOctave<FImage>, FImage>, float, float, float) - Method in class org.openimaj.image.feature.local.detector.dog.collector.OctaveMinMaxKeypointCollector
-
- foundInterestPoint(OctaveInterestPointFinder<GaussianOctave<FImage>, FImage>, float, float, float) - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
- foundInterestPoint(OctaveInterestPointFinder<GaussianOctave<FImage>, FImage>, float, float, float) - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
- foundInterestPoint(FImage, EllipticInterestPointData) - Method in class org.openimaj.image.feature.local.detector.ipd.collector.AffineInterestPointFeatureCollector
-
- foundInterestPoint(FImage, EllipticInterestPointData, double) - Method in class org.openimaj.image.feature.local.detector.ipd.collector.AffineInterestPointFeatureCollector
-
- foundInterestPoint(FImage, InterestPointData) - Method in class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointFeatureCollector
-
- foundInterestPoint(FImage, InterestPointData, double) - Method in class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointFeatureCollector
-
- foundInterestPoint(FImage, T) - Method in class org.openimaj.image.feature.local.detector.ipd.collector.InterestPointFeatureCollector
-
Collect interest points from a single image
- foundInterestPoint(FImage, T, double) - Method in class org.openimaj.image.feature.local.detector.ipd.collector.InterestPointFeatureCollector
-
Collect interest points from an image known to be in a pyramid with a given octave size
- foundInterestPoint(OctaveInterestPointFinder<OCTAVE, IMAGE>, float, float, float) - Method in interface org.openimaj.image.feature.local.detector.pyramid.OctaveInterestPointListener
-
Do something with a detected interest point.
- FourierConvolve - Class in org.openimaj.image.processing.convolution
-
FImage
convolution performed in the fourier domain.
- FourierConvolve(float[][]) - Constructor for class org.openimaj.image.processing.convolution.FourierConvolve
-
Construct the convolution operator with the given kernel
- FourierConvolve(FImage) - Constructor for class org.openimaj.image.processing.convolution.FourierConvolve
-
Construct the convolution operator with the given kernel
- FourierCorrelation - Class in org.openimaj.image.processing.algorithm
-
FImage
correlation performed using an FFT.
- FourierCorrelation(FImage) - Constructor for class org.openimaj.image.processing.algorithm.FourierCorrelation
-
Construct the correlation operator with the given template
- FourierTemplateMatcher - Class in org.openimaj.image.analysis.algorithm
-
Basic template matching for
FImage
s.
- FourierTemplateMatcher(FImage, FourierTemplateMatcher.Mode) - Constructor for class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
Default constructor with the template to match.
- FourierTemplateMatcher(FImage, Rectangle, FourierTemplateMatcher.Mode) - Constructor for class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
Construct with the template to match and the bounds rectangle in which
to search.
- FourierTemplateMatcher.Mode - Enum in org.openimaj.image.analysis.algorithm
-
Different algorithms for comparing templates to images.
- FourierTransform - Class in org.openimaj.audio.analysis
-
Perform an FFT on an audio signal.
- FourierTransform() - Constructor for class org.openimaj.audio.analysis.FourierTransform
-
Default constructor for ad-hoc processing.
- FourierTransform(AudioStream) - Constructor for class org.openimaj.audio.analysis.FourierTransform
-
Constructor for chaining.
- FourierTransform - Class in org.openimaj.image.processing.algorithm
-
Perform forward and inverse Fast Fourier Transforms on image data.
- FourierTransform(FImage, boolean) - Constructor for class org.openimaj.image.processing.algorithm.FourierTransform
-
Construct Fourier Transform by performing a forward transform on the
given image.
- FourierTransform(FImage, FImage, boolean) - Constructor for class org.openimaj.image.processing.algorithm.FourierTransform
-
Construct Fourier Transform object from the given magnitude and phase
images in the frequency domain.
- FourierTransformComplex - Class in org.openimaj.image.processing.algorithm
-
Perform forward and inverse Fast Fourier Transforms on image data.
- FourierTransformComplex(FImage, boolean) - Constructor for class org.openimaj.image.processing.algorithm.FourierTransformComplex
-
Construct Fourier Transform by performing a forward transform on the
given image.
- FourierTransformComplex(FImage, FImage, boolean) - Constructor for class org.openimaj.image.processing.algorithm.FourierTransformComplex
-
Construct Fourier Transform object from the given magnitude and phase
images in the frequency domain.
- FP - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
The total number of pairs in a cluster which do not belong to the same class
- FPatchLandmarkModel - Class in org.openimaj.image.model.landmark
-
- FPatchLandmarkModel() - Constructor for class org.openimaj.image.model.landmark.FPatchLandmarkModel
-
- FPatchLandmarkModel.Factory - Class in org.openimaj.image.model.landmark
-
- fpd - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Number of frames on which to force a redetection
- FProjectionProcessor - Class in org.openimaj.image.processing.transform
-
- FProjectionProcessor() - Constructor for class org.openimaj.image.processing.transform.FProjectionProcessor
-
- fps - Variable in class org.openimaj.video.timecode.FrameNumberVideoTimecode
-
The number of frames per second
- frame - Variable in class org.openimaj.video.VideoFrame
-
The frame of video
- FrameGetter() - Constructor for class org.openimaj.video.xuggle.XuggleVideo.FrameGetter
-
- frameNumber - Variable in class org.openimaj.vis.video.VideoBarVisualisation.VideoTimelineMarker
-
The frame number in the data
- FrameNumberVideoTimecode - Class in org.openimaj.video.timecode
-
This class allows video timecodes to be stored as frame numbers.
- FrameNumberVideoTimecode(long, double) - Constructor for class org.openimaj.video.timecode.FrameNumberVideoTimecode
-
Default constructor that takes the frame number.
- framerate() - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- framerate(byte) - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- frameRate - Variable in class org.openimaj.video.VideoWriter
-
The frame rate at which written videos will be replayed
- frameReset() - Method in class com.jsaragih.Tracker
-
Reset frame number (will perform detection in next image)
- frameReset() - Method in class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Reset frame number (will perform detection in next image)
- FramesPerSecond(ImageCollectionConfig) - Constructor for class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection.FramesPerSecond
-
- freemanChainCode(ConnectedComponent.ConnectMode) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Calculates the Freeman chaincode for this connected component.
- freenect_camera_to_world(Pointer<libfreenectLibrary.freenect_device>, int, int, int, Pointer<Double>, Pointer<Double>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_close_device(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_copy_registration(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- FREENECT_COUNTS_PER_G - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_depth_cb() - Constructor for class org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_depth_cb
-
- FREENECT_DEPTH_MM_MAX_VALUE - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- FREENECT_DEPTH_MM_NO_VALUE - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- FREENECT_DEPTH_RAW_MAX_VALUE - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- FREENECT_DEPTH_RAW_NO_VALUE - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_destroy_registration(Pointer<freenect_registration>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_device_attributes - Class in org.openimaj.hardware.kinect.freenect
-
- freenect_device_attributes() - Constructor for class org.openimaj.hardware.kinect.freenect.freenect_device_attributes
-
- freenect_find_depth_mode(ValuedEnum<libfreenectLibrary.freenect_resolution>, ValuedEnum<libfreenectLibrary.freenect_depth_format>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_find_video_mode(ValuedEnum<libfreenectLibrary.freenect_resolution>, ValuedEnum<libfreenectLibrary.freenect_video_format>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_frame_mode - Class in org.openimaj.hardware.kinect.freenect
-
- freenect_frame_mode() - Constructor for class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- freenect_free_device_attributes(Pointer<freenect_device_attributes>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_current_depth_mode(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_current_video_mode(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_depth_buffer_size(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_depth_mode(int) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_depth_mode_count() - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_mks_accel(Pointer<freenect_raw_tilt_state>, Pointer<Double>, Pointer<Double>, Pointer<Double>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_tilt_degs(Pointer<freenect_raw_tilt_state>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_tilt_state(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_tilt_status(Pointer<freenect_raw_tilt_state>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_user(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_video_buffer_size(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_video_mode(int) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_get_video_mode_count() - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_init(Pointer<Pointer<libfreenectLibrary.freenect_context>>, Pointer<?>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_list_device_attributes(Pointer<libfreenectLibrary.freenect_context>, Pointer<Pointer<freenect_device_attributes>>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_log_cb() - Constructor for class org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_log_cb
-
- freenect_num_devices(Pointer<libfreenectLibrary.freenect_context>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_open_device(Pointer<libfreenectLibrary.freenect_context>, Pointer<Pointer<libfreenectLibrary.freenect_device>>, int) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_open_device_by_camera_serial(Pointer<libfreenectLibrary.freenect_context>, Pointer<Pointer<libfreenectLibrary.freenect_device>>, Pointer<Byte>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_process_events(Pointer<libfreenectLibrary.freenect_context>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_process_events_timeout(Pointer<libfreenectLibrary.freenect_context>, Pointer<libfreenectLibrary.timeval>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_raw_tilt_state - Class in org.openimaj.hardware.kinect.freenect
-
- freenect_raw_tilt_state() - Constructor for class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- freenect_reg_info - Class in org.openimaj.hardware.kinect.freenect
-
- freenect_reg_info() - Constructor for class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- freenect_reg_pad_info - Class in org.openimaj.hardware.kinect.freenect
-
- freenect_reg_pad_info() - Constructor for class org.openimaj.hardware.kinect.freenect.freenect_reg_pad_info
-
- freenect_registration - Class in org.openimaj.hardware.kinect.freenect
-
- freenect_registration() - Constructor for class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- freenect_select_subdevices(Pointer<libfreenectLibrary.freenect_context>, ValuedEnum<libfreenectLibrary.freenect_device_flags>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_depth_buffer(Pointer<libfreenectLibrary.freenect_device>, Pointer<?>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_depth_callback(Pointer<libfreenectLibrary.freenect_device>, Pointer<libfreenectLibrary.freenect_depth_cb>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_depth_mode(Pointer<libfreenectLibrary.freenect_device>, freenect_frame_mode) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_depth_mode_proxy(Pointer<libfreenectLibrary.freenect_device>, ValuedEnum<libfreenectLibrary.freenect_resolution>, ValuedEnum<libfreenectLibrary.freenect_depth_format>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_led(Pointer<libfreenectLibrary.freenect_device>, ValuedEnum<libfreenectLibrary.freenect_led_options>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_log_callback(Pointer<libfreenectLibrary.freenect_context>, Pointer<libfreenectLibrary.freenect_log_cb>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_log_level(Pointer<libfreenectLibrary.freenect_context>, ValuedEnum<libfreenectLibrary.freenect_loglevel>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_tilt_degs(Pointer<libfreenectLibrary.freenect_device>, double) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_user(Pointer<libfreenectLibrary.freenect_device>, Pointer<?>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_video_buffer(Pointer<libfreenectLibrary.freenect_device>, Pointer<?>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_video_callback(Pointer<libfreenectLibrary.freenect_device>, Pointer<libfreenectLibrary.freenect_video_cb>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_video_mode(Pointer<libfreenectLibrary.freenect_device>, freenect_frame_mode) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_set_video_mode_proxy(Pointer<libfreenectLibrary.freenect_device>, ValuedEnum<libfreenectLibrary.freenect_resolution>, ValuedEnum<libfreenectLibrary.freenect_video_format>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_shutdown(Pointer<libfreenectLibrary.freenect_context>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_start_depth(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_start_video(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_stop_depth(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_stop_video(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_supported_subdevices() - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_update_tilt_state(Pointer<libfreenectLibrary.freenect_device>) - Static method in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- freenect_video_cb() - Constructor for class org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_video_cb
-
- freenect_zero_plane_info - Class in org.openimaj.hardware.kinect.freenect
-
- freenect_zero_plane_info() - Constructor for class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- FREQ_LP_BEAT - Static variable in class org.openimaj.audio.analysis.BeatDetector
-
Low Pass filter frequency
- frequency - Variable in class org.openimaj.audio.util.WesternScaleNote
-
The frequency of the note
- FrequencyAudioSource - Class in org.openimaj.audio
-
- FrequencyAudioSource(AudioStream) - Constructor for class org.openimaj.audio.FrequencyAudioSource
-
Construct on top of given stream
- FrequencyAudioSource.Listener - Interface in org.openimaj.audio
-
Interface for classes that listen to the frequency information
extracted by the
FrequencyAudioSource
.
- FrequencyModulatedOscillator() - Constructor for class org.openimaj.audio.generation.Oscillator.FrequencyModulatedOscillator
-
- frequencyToBarkFrequency(double) - Static method in class org.openimaj.audio.util.AudioUtils
-
Converts a frequency to a Bark frequency
- frequencyToMelFrequency(double) - Static method in class org.openimaj.audio.util.AudioUtils
-
Converts a frequency to an approximation of a Mel frequency.
- frequencyToNote(float) - Static method in class org.openimaj.audio.util.WesternScaleNote
-
Converts a frequency to the nearest note number
- frexp(double) - Static method in class org.openimaj.math.util.MathUtils
-
Implementation of the C frexp
function to break
floating-point number into normalized fraction and power of 2.
- from(int, int, double...) - Static method in class ch.akuhn.matrix.Matrix
-
Build a matrix from the given values (row-major)
- from(double...) - Static method in class ch.akuhn.matrix.Vector
-
Construct a Vector from an array of values
- from - Variable in class org.openimaj.math.graph.SimpleEdge
-
First vertex
- fromBothEnds(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues
-
Compute eigenvalues from both end of the spectrum.
- fromCF(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Create a
Matrix
from the Cognitive Foundry equivalent
- fromColor(Color) - Static method in class org.openimaj.image.colour.RGBColour
-
Make an OpenImaj colour from a java.awt.Color.
- fromDoubleArray(double[]) - Static method in class org.openimaj.math.geometry.point.Point2dImpl
-
- FromFile() - Constructor for class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection.FromFile
-
- fromJagged(double[][]) - Static method in class ch.akuhn.matrix.SymmetricMatrix
-
Create from jagged low triangular values
- fromJama(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- fromMap(Map<String, Object>) - Static method in class org.openimaj.text.nlp.language.LanguageDetector.WeightedLocale
-
- fromMap(Map<String, ?>) - Method in class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
- fromMap(Map<String, ?>) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- fromMap(Map<String, ?>) - Method in interface org.openimaj.text.nlp.sentiment.type.Sentiment
-
- fromMap(Map<String, ?>) - Method in class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
- fromMap(Map<String, ?>) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- fromMatlab(MLArray) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Create a
Matrix
from a matlab
MLArray
- fromRowPacked(double[], int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Construct a matrix from a row-packed (i.e.
- fromShape(Shape) - Method in class org.openimaj.image.pixel.PixelSet
-
- fromSign(double) - Static method in enum org.openimaj.ml.linear.learner.perceptron.PerceptronClass
-
- fromSquare(double[][]) - Static method in class ch.akuhn.matrix.SymmetricMatrix
-
Create from a square matrix
- fromString(String) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.JacardIndex
-
Read a new jacard index from a comma separated line
- fromString(String) - Static method in class org.openimaj.image.colour.RGBColour
-
Get a colour from a string representation.
- fromString(String, Class<T>) - Static method in class org.openimaj.io.IOUtils
-
Convenience function for deserializing an object from a String.
- fromString(String) - Static method in class org.openimaj.video.timecode.HrsMinSecFrameTimecode
-
- fromTransformMatrix2x2(Matrix, float, float, float) - Static method in class org.openimaj.math.geometry.shape.EllipseUtilities
-
Create an ellipse.
- FromURL() - Constructor for class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection.FromURL
-
- fromUSMF(USMFStatus) - Method in class org.openimaj.twitter.GeneralJSON
-
This is the method that will be called to allow this object
to fill itself from a USMF object.
- fromUSMF(USMFStatus) - Method in class org.openimaj.twitter.GeneralJSONRDF
-
- fromUSMF(USMFStatus) - Method in class org.openimaj.twitter.GeneralJSONTwitter
-
- fromUSMF(USMFStatus) - Method in class org.openimaj.twitter.USMFStatus
-
- fromValue(int) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_depth_format
-
- fromValue(int) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_device_flags
-
- fromValue(int) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_led_options
-
- fromValue(int) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_loglevel
-
- fromValue(int) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_resolution
-
- fromValue(int) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_tilt_status_code
-
- fromValue(int) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_video_format
-
- fscore(double) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- fscore - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- fscore - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
F-Score
- fscore - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- FScoreAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Uses a decision analysis to produce the random index result
- FScoreAnalysis(DecisionAnalysis) - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- FScoreClusterAnalyser - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
- FScoreClusterAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.FScoreClusterAnalyser
-
- FSobel - Class in org.openimaj.image.processing.convolution
-
Helper
ImageAnalyser
that computes the X and Y image gradients using
Sobel filters.
- FSobel() - Constructor for class org.openimaj.image.processing.convolution.FSobel
-
Construct with no Gaussian blurring
- FSobel(float) - Constructor for class org.openimaj.image.processing.convolution.FSobel
-
Construct with an initial Gaussian blurring of the given standard
deviation.
- FSobelMagnitude - Class in org.openimaj.image.processing.convolution
-
Apply the sobel operator to an image.
- FSobelMagnitude() - Constructor for class org.openimaj.image.processing.convolution.FSobelMagnitude
-
- FSobelX - Class in org.openimaj.image.processing.convolution
-
Returns a kernel which is the x derivative of a gaussian of sigma 1
- FSobelX() - Constructor for class org.openimaj.image.processing.convolution.FSobelX
-
Returns a kernel which is the x derivative of a gaussian of sigma 1
- FSobelY - Class in org.openimaj.image.processing.convolution
-
Returns a kernel which is the y derivative of a gaussian of sigma 1
- FSobelY() - Constructor for class org.openimaj.image.processing.convolution.FSobelY
-
Returns a kernel which is the y derivative of a gaussian of sigma 1
- FStatisticalPixelProfileModel - Class in org.openimaj.image.pixel.statistics
-
- FStatisticalPixelProfileModel(int, FLineSampler) - Constructor for class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- fsutil - Variable in class org.openimaj.content.slideshow.SlideshowApplet
-
- fsutil - Variable in class org.openimaj.content.slideshow.SlideshowApplication
-
- fTol - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
Model fitting optimisation tolerance
- fTol - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Model fitting optimisation tolerance
- FTriangleFilter - Class in org.openimaj.image.processing.convolution
-
Image convolution with a triangular filter.
- FTriangleFilter(int, int, boolean) - Constructor for class org.openimaj.image.processing.convolution.FTriangleFilter
-
Construct with the given dimensions.
- FTriangleFilter(int, int) - Constructor for class org.openimaj.image.processing.convolution.FTriangleFilter
-
Construct with the given dimensions.
- FUL - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Full non-intersection
- FullMEAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Sina Samangooei (ss@ecs.soton.ac.uk)
- FullMEAnalysis() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- FullMEClusterAnalyser - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
A set of measures used to evaulate clustering.
- FullMEClusterAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.FullMEClusterAnalyser
-
- FullMultivariateGaussian - Class in org.openimaj.math.statistics.distribution
-
- FullMultivariateGaussian(Matrix, Matrix) - Constructor for class org.openimaj.math.statistics.distribution.FullMultivariateGaussian
-
Construct the Gaussian with the provided center and covariance
- FullMultivariateGaussian(int) - Constructor for class org.openimaj.math.statistics.distribution.FullMultivariateGaussian
-
Construct the Gaussian with the zero mean and unit variance
- fullscreen - Variable in class org.openimaj.content.slideshow.FullscreenUtility
-
- FullscreenUtility - Class in org.openimaj.content.slideshow
-
Utility class for dealing with fullscreen Swing applications.
- FullscreenUtility(JFrame) - Constructor for class org.openimaj.content.slideshow.FullscreenUtility
-
Construct with the given JFrame.
- function - Variable in class org.openimaj.image.processing.algorithm.AnisotropicDiffusion
-
- Function<IN,OUT> - Interface in org.openimaj.util.function
-
Apply a function to some input, producing an appropriate result.
- function_of - Variable in class orgrdfs.sioc.ns.RoleImpl
-
A UserAccount that has this Role.
- fundamental - Variable in class org.openimaj.math.geometry.transforms.FundamentalModel
-
- Fundamental8PtResidual() - Constructor for class org.openimaj.math.geometry.transforms.FundamentalModel.Fundamental8PtResidual
-
- fundamentalMatrix8Pt(List<? extends IndependentPair<Point2d, Point2d>>) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
The un-normalised 8-point algorithm for estimation of the Fundamental
matrix.
- fundamentalMatrix8PtNorm(List<? extends IndependentPair<Point2d, Point2d>>) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
The normalised 8-point algorithm for estimating the Fundamental matrix
- FundamentalModel - Class in org.openimaj.math.geometry.transforms
-
Implementation of a Fundamental matrix model that estimates the epipolar
geometry.
- FundamentalModel() - Constructor for class org.openimaj.math.geometry.transforms.FundamentalModel
-
Create a
FundamentalModel
, automatically normalising data when
estimating the model
- FundamentalModel(boolean) - Constructor for class org.openimaj.math.geometry.transforms.FundamentalModel
-
- FundamentalModel.EpipolarResidual - Class in org.openimaj.math.geometry.transforms
-
Geometric residual that sums the distance of points from the closest
epipolar line.
- FundamentalModel.Fundamental8PtResidual - Class in org.openimaj.math.geometry.transforms
-
Computes the algebraic residual of the point pairs applied to the F
matrix
- FundamentalModel.SampsonGeometricResidual - Class in org.openimaj.math.geometry.transforms
-
- FundamentalRefinement - Enum in org.openimaj.math.geometry.transforms
-
Refinement of fundamental matrix estimates using non-linear optimisation
(Levenberg-Marquardt) under different geometric distance/error assumptions.
- FundamentalRefinement.Base - Class in org.openimaj.math.geometry.transforms
-
- FundamentalRefinement.F12Epipolar - Class in org.openimaj.math.geometry.transforms
-
Based on the following matlab:
- FundamentalRefinement.F12Sampson - Class in org.openimaj.math.geometry.transforms
-
Based on the following matlab:
- FundamentalRefinement.F13Epipolar - Class in org.openimaj.math.geometry.transforms
-
Based on the following matlab:
- FundamentalRefinement.F13Sampson - Class in org.openimaj.math.geometry.transforms
-
Based on the following matlab:
- FundamentalRefinement.F23Epipolar - Class in org.openimaj.math.geometry.transforms
-
Based on the following matlab:
- FundamentalRefinement.F23Sampson - Class in org.openimaj.math.geometry.transforms
-
Based on the following matlab:
- FundamentalRefinement.FastSolveNormal3x2 - Class in org.openimaj.math.geometry.transforms
-
- FundamentalRefinement.Parameterisation - Enum in org.openimaj.math.geometry.transforms
-
Parameterisations of the fundamental matrix that preserve the rank-2
constraint by writing one of the rows as a weighted combination of the
other two.
- FValuePixel - Class in org.openimaj.image.pixel
-
Represents a pixel location.
- FValuePixel(int, int) - Constructor for class org.openimaj.image.pixel.FValuePixel
-
Default constructor
- FValuePixel(int, int, float) - Constructor for class org.openimaj.image.pixel.FValuePixel
-
Constructor that takes the location and value of the
pixel.
- FValuePixel.ReverseValueComparator - Class in org.openimaj.image.pixel
-
- FValuePixel.ValueComparator - Class in org.openimaj.image.pixel
-
- FVComparator<T extends FeatureVector> - Interface in org.openimaj.feature
-
Interface for objects that can compare feature vectors
- FVConverter - Class in org.openimaj.feature.conversion
-
- FVConverter() - Constructor for class org.openimaj.feature.conversion.FVConverter
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ByteCauchyFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ByteGaussianFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ByteHammingFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ByteHashFunctionFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ByteHyperplaneCosineFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ByteHyperplaneL1Factory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.DoubleCauchyFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.DoubleGaussianFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.DoubleHammingFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.DoubleHashFunctionFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.DoubleHyperplaneCosineFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.DoubleHyperplaneL1Factory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.FloatCauchyFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.FloatGaussianFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.FloatHammingFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.FloatHashFunctionFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.FloatHyperplaneCosineFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.FloatHyperplaneL1Factory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.IntCauchyFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.IntGaussianFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.IntHammingFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.IntHashFunctionFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.IntHyperplaneCosineFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.IntHyperplaneL1Factory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.LongCauchyFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.LongGaussianFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.LongHammingFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.LongHashFunctionFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.LongHyperplaneCosineFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.LongHyperplaneL1Factory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ShortCauchyFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ShortGaussianFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ShortHammingFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ShortHashFunctionFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ShortHyperplaneCosineFactory
-
- fvDistanceFunction() - Method in class org.openimaj.lsh.functions.ShortHyperplaneL1Factory
-
- FVFWCheckGMM - Class in org.openimaj.demos
-
- FVFWCheckGMM() - Constructor for class org.openimaj.demos.FVFWCheckGMM
-
- FVFWCheckPCAGMM - Class in org.openimaj.demos
-
- FVFWCheckPCAGMM() - Constructor for class org.openimaj.demos.FVFWCheckPCAGMM
-
- FVFWDetectAlign - Class in org.openimaj.demos
-
- FVFWDetectAlign() - Constructor for class org.openimaj.demos.FVFWDetectAlign
-
- FVFWDSift - Class in org.openimaj.demos
-
- FVFWDSift() - Constructor for class org.openimaj.demos.FVFWDSift
-
- FVFWDSiftPCAAugment - Class in org.openimaj.demos
-
- FVFWDSiftPCAAugment() - Constructor for class org.openimaj.demos.FVFWDSiftPCAAugment
-
- FVFWDSiftPCAAugmentGMM - Class in org.openimaj.demos
-
- FVFWDSiftPCAAugmentGMM() - Constructor for class org.openimaj.demos.FVFWDSiftPCAAugmentGMM
-
- FVFWExperiment - Class in org.openimaj.demos
-
- FVFWExperiment() - Constructor for class org.openimaj.demos.FVFWExperiment
-
- FVFWExtractMatlabVectors - Class in org.openimaj.demos
-
- FVFWExtractMatlabVectors() - Constructor for class org.openimaj.demos.FVFWExtractMatlabVectors
-
- FVFWFVEncode - Class in org.openimaj.demos
-
- FVFWFVEncode() - Constructor for class org.openimaj.demos.FVFWFVEncode
-
- FVFWFVEncodeMatlab - Class in org.openimaj.demos
-
- FVFWFVEncodeMatlab() - Constructor for class org.openimaj.demos.FVFWFVEncodeMatlab
-
- FVProviderExtractor<FV extends FeatureVector,OBJECT> - Class in org.openimaj.feature
-
- FVProviderExtractor(FeatureExtractor<? extends FeatureVectorProvider<FV>, OBJECT>) - Constructor for class org.openimaj.feature.FVProviderExtractor
-
Construct with the given extractor.
- FWD_MIN(int) - Method in class org.openimaj.math.geometry.shape.util.polygon.EdgeTable
-
- gaborFilters - Variable in class org.openimaj.image.feature.global.Gist
-
- GaborFilters - Class in org.openimaj.image.processing.convolution
-
Utility methods for creating Gabor Filters
- Gallery() - Constructor for class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection.Gallery
-
- gamma - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
- gamma - Variable in class org.openimaj.image.processing.algorithm.GammaCorrection
-
- GammaCorrection - Class in org.openimaj.image.processing.algorithm
-
Class to perform Gamma correction on a grey-level image.
- GammaCorrection() - Constructor for class org.openimaj.image.processing.algorithm.GammaCorrection
-
Construct a GammaCorrection with the default gamma of 0.2
- GammaCorrection(double) - Constructor for class org.openimaj.image.processing.algorithm.GammaCorrection
-
Construct a GammaCorrection with the given gamma
- gauss - Variable in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
-
- gaussian1D(float, float, float, int) - Static method in class org.openimaj.image.processing.convolution.filterbank.LeungMalikFilterBank
-
- Gaussian2D - Class in org.openimaj.image.processing.convolution
-
Simple 2D Gaussian convolution.
- Gaussian2D(int, int, float) - Constructor for class org.openimaj.image.processing.convolution.Gaussian2D
-
Construct with given kernel size and variance.
- Gaussian2D(int, float) - Constructor for class org.openimaj.image.processing.convolution.Gaussian2D
-
Construct with given kernel size and variance.
- GaussianKLDivergence - Class in org.openimaj.math.statistics.distribution.metrics
-
Calculate the KL divergence of two multivariate gaussians.
- GaussianKLDivergence() - Constructor for class org.openimaj.math.statistics.distribution.metrics.GaussianKLDivergence
-
- GaussianMixtureModelEM - Class in org.openimaj.ml.gmm
-
Gaussian mixture model learning using the EM algorithm.
- GaussianMixtureModelEM(int, GaussianMixtureModelEM.CovarianceType, double, double, int, int, EnumSet<GaussianMixtureModelEM.UpdateOptions>, EnumSet<GaussianMixtureModelEM.UpdateOptions>) - Constructor for class org.openimaj.ml.gmm.GaussianMixtureModelEM
-
Construct with the given arguments.
- GaussianMixtureModelEM(int, GaussianMixtureModelEM.CovarianceType) - Constructor for class org.openimaj.ml.gmm.GaussianMixtureModelEM
-
Construct with the given arguments.
- GaussianMixtureModelEM.CovarianceType - Enum in org.openimaj.ml.gmm
-
- GaussianMixtureModelEM.EMGMM - Class in org.openimaj.ml.gmm
-
- GaussianMixtureModelEM.UpdateOptions - Enum in org.openimaj.ml.gmm
-
Options for controlling what gets updated during the initialisation
and/or iterations.
- GaussianOctave<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.analysis.pyramid.gaussian
-
This class represents a Gaussian octave in the style of Lowe's SIFT paper.
- GaussianOctave(GaussianPyramid<IMAGE>, float) - Constructor for class org.openimaj.image.analysis.pyramid.gaussian.GaussianOctave
-
Construct a Gaussian octave with the provided parent Pyramid and
octaveSize.
- GaussianPyramid<I extends Image<?,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.analysis.pyramid.gaussian
-
A Gaussian image pyramid consisting of a stack of octaves where the image
halves its size.
- GaussianPyramid(GaussianPyramidOptions<I>) - Constructor for class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramid
-
Construct a Pyramid with the given options.
- GaussianPyramidOptions<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.analysis.pyramid.gaussian
-
Options for constructing a Gaussian pyramid in the style of Lowe's SIFT
paper.
- GaussianPyramidOptions() - Constructor for class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Default constructor.
- GaussianPyramidOptions(GaussianPyramidOptions<?>) - Constructor for class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Construct the pyramid options by copying the non-processor options from
the given options object.
- gaussians - Variable in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
The individual gaussians
- gaussianSigma - Variable in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- gaussianSigma - Variable in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
The width of the Gaussian used for weighting samples, relative to the
half-width of the sampling window (default 1.0).
- GaussianTimeSeriesProcessor - Class in org.openimaj.ml.timeseries.processor
-
Calculates a moving average over a specified window in the past such that
data[t_n] = sum^{m}_{i=1}{data[t_{n-i}}
This processor returns a value for each time in the underlying time series.
- GaussianTimeSeriesProcessor(double) - Constructor for class org.openimaj.ml.timeseries.processor.GaussianTimeSeriesProcessor
-
- GaussianVectorNaiveBayesModel<T> - Class in org.openimaj.math.model
-
An implementation of a
EstimatableModel
that uses a
VectorNaiveBayesCategorizer
to associate vectors (actually double[])
with a category based on the naive bayes model.
- GaussianVectorNaiveBayesModel() - Constructor for class org.openimaj.math.model.GaussianVectorNaiveBayesModel
-
- GaussianWeighting - Class in org.openimaj.image.processing.face.feature.ltp
-
- GaussianWeighting() - Constructor for class org.openimaj.image.processing.face.feature.ltp.GaussianWeighting
-
Construct with a default standard deviation of 3.0
- GaussianWeighting(float) - Constructor for class org.openimaj.image.processing.face.feature.ltp.GaussianWeighting
-
Construct with the given standard deviation
- gaussianWindowSize - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Size of the Gaussian window (in relative to of the size of a bin)
- GaussPyr - Class in org.openimaj.demos
-
- GaussPyr() - Constructor for class org.openimaj.demos.GaussPyr
-
- GD_SVD - Class in org.openimaj.workinprogress
-
- GD_SVD(Matrix, int) - Constructor for class org.openimaj.workinprogress.GD_SVD
-
- GD_SVD2 - Class in org.openimaj.workinprogress
-
- GD_SVD2(Matrix, int) - Constructor for class org.openimaj.workinprogress.GD_SVD2
-
- gen - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
- GeneralFont - Class in org.openimaj.image.typography.general
-
This is a wrapper for the Java AWT Font in the OpenIMAJ system.
- GeneralFont(String, int) - Constructor for class org.openimaj.image.typography.general.GeneralFont
-
Create a font with the given name, type and size.
- GeneralFontRenderer<T> - Class in org.openimaj.image.typography.general
-
A font renderer that takes the glyph outline as generated by the Java AWT
Font system and renders it into an OpenIMAJ image using the ImageRenderer
methods.
- GeneralFontRenderer() - Constructor for class org.openimaj.image.typography.general.GeneralFontRenderer
-
- GeneralFontStyle<T> - Class in org.openimaj.image.typography.general
-
This is a wrapper and extensions for the Java AWT Font as an OpenIMAJ
Font style.
- GeneralFontStyle(GeneralFont, ImageRenderer<T, ?>) - Constructor for class org.openimaj.image.typography.general.GeneralFontStyle
-
Create a new font style that will be drawn solid.
- GeneralFontStyle(GeneralFont, ImageRenderer<T, ?>, boolean) - Constructor for class org.openimaj.image.typography.general.GeneralFontStyle
-
Create a new GeneralFontStyle.
- GeneralisedEigenvalueProblem - Class in org.openimaj.math.matrix
-
Methods for solving the Generalised Eigenvalue Problem: A x = L B x.
- GeneralisedEigenvalueProblem() - Constructor for class org.openimaj.math.matrix.GeneralisedEigenvalueProblem
-
- GeneralisedProcrustesAnalysis - Class in org.openimaj.math.geometry.shape.algorithm
-
Implementation of shape alignment using Generalised Procrustes Analysis.
- GeneralisedProcrustesAnalysis(float, int) - Constructor for class org.openimaj.math.geometry.shape.algorithm.GeneralisedProcrustesAnalysis
-
- GeneralisedProcrustesAnalysis(float) - Constructor for class org.openimaj.math.geometry.shape.algorithm.GeneralisedProcrustesAnalysis
-
- GeneralJSON - Class in org.openimaj.twitter
-
This interface should be implemented by classes that will define a new json
input format for the USMFStatus object.
- GeneralJSON() - Constructor for class org.openimaj.twitter.GeneralJSON
-
- GeneralJSONRDF - Class in org.openimaj.twitter
-
Holds an internal Jena Graph of the USMF status.
- GeneralJSONRDF() - Constructor for class org.openimaj.twitter.GeneralJSONRDF
-
- GeneralJSONTwitter - Class in org.openimaj.twitter
-
GeneralJSONTwitter extends GeneralJSON to provide an object that GSon can
fill from a twitter json string.
- GeneralJSONTwitter() - Constructor for class org.openimaj.twitter.GeneralJSONTwitter
-
- GeneralJSONTwitterRawText - Class in org.openimaj.twitter
-
- GeneralJSONTwitterRawText() - Constructor for class org.openimaj.twitter.GeneralJSONTwitterRawText
-
- GeneralSentimentFeatureExtractor - Class in org.openimaj.text.nlp.sentiment.model.classifier
-
- GeneralSentimentFeatureExtractor(List<List<String>>) - Constructor for class org.openimaj.text.nlp.sentiment.model.classifier.GeneralSentimentFeatureExtractor
-
Construct with the training set.
- GeneralSentimentFeatureExtractor() - Constructor for class org.openimaj.text.nlp.sentiment.model.classifier.GeneralSentimentFeatureExtractor
-
Blank constructor.
- generate(double[]) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Generate a new "observation" as a linear combination of
the eigenvectors (ev): mean + ev * scaling.
- generate(double[]) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Generate a new "observation" as a linear combination of the principal
components (PC): mean + PC * scaling.
- generate() - Method in class org.openimaj.ml.linear.data.BiconvexDataGenerator
-
- generate() - Method in class org.openimaj.ml.linear.data.BiconvexIncrementalDataGenerator
-
- generate() - Method in class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator
-
- generate() - Method in interface org.openimaj.ml.linear.data.DataGenerator
-
- generate() - Method in class org.openimaj.ml.linear.data.FixedDataGenerator
-
- generate() - Method in class org.openimaj.ml.linear.data.LinearPerceptronDataGenerator
-
- generate() - Method in class org.openimaj.ml.linear.data.MatlabFileDataGenerator
-
- generate() - Method in interface org.openimaj.ml.linear.data.MatrixDataGenerator
-
- generate(DoubleFV) - Method in class org.openimaj.ml.pca.FeatureVectorPCA
-
Generate a new "observation" as a linear combination of the principal
components (PC): mean + PC * scaling.
- generate(InputStream, Generator.GeneratorOptions) - Static method in class org.openimaj.rdf.owl2java.Generator
-
Generate the classes for the RDF information that's read from the given
input stream.
- generate(Locale, int, String) - Method in class org.openimaj.text.nlp.language.MarkovChainLanguageModel
-
Generate a string using this model of the desired length
- generate(I) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Generates a render of the text string in some random font with some
random transform.
- generateAll() - Method in class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator
-
- generateAnnotations - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
Whether to generate @@Predicate annotations.
- generateClass(File, Map<URI, String>, Map<URI, ClassDef>, boolean, boolean, boolean) - Method in class org.openimaj.rdf.owl2java.ClassDef
-
Generates a Java file in the target directory
- generateColours(int) - Method in enum org.openimaj.image.colour.ColourMap
-
Generate a list of colours using a colour map
- generateFaceMap(FImage, FImage) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- generateFeatures(int, int, HaarFeatureType...) - Static method in enum org.openimaj.image.objectdetection.haar.training.HaarFeatureType
-
Generate features of the given types for all possible locations and sizes
in the given window bounds.
- generateFeatures(int, int, Collection<HaarFeatureType>) - Static method in enum org.openimaj.image.objectdetection.haar.training.HaarFeatureType
-
Generate features of the given types for all possible locations and sizes
in the given window bounds.
- generateInterface(File, Map<URI, String>, Map<URI, ClassDef>) - Method in class org.openimaj.rdf.owl2java.ClassDef
-
Generates a Java interface file in the target directory
- generateMatte(MBFImage, int, MatteGenerator.MatteType, Object...) - Static method in class org.openimaj.image.processing.mask.MatteGenerator
-
Generate a matte into the given image on the given band.
- generateMatte(FImage, MatteGenerator.MatteType, Object...) - Static method in class org.openimaj.image.processing.mask.MatteGenerator
-
Generate a matte into the given
FImage
.
- generateMatte(FImage, Object...) - Method in enum org.openimaj.image.processing.mask.MatteGenerator.MatteType
-
Generate the matte into the given image.
- generateMildTransform(FImage) - Static method in class org.openimaj.feature.local.matcher.KeypointCorrespondenceTestHelper
-
Generate an affine transform between some reasonable limits:
- Rotate it between 0 and 360
- transform it between 0 and 10 pixels
- slant it (sheer in x and y) between 0 and 10 degrees
- scale it between 0 and 2.0 times
- generateMildTransform(FImage, Random) - Static method in class org.openimaj.feature.local.matcher.KeypointCorrespondenceTestHelper
-
Generate an affine transform between some reasonable limits:
- Rotate it between 0 and 360
- transform it between 0 and 10 pixels
- slant it (sheer in x and y) between 0 and 10 degrees
- scale it between 0 and 2.0 times
- generateMSERs(FImage) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
Performs a watershed then an MSER detection on the given image and
returns the MSERs.
- generateMSERs(FImage, MSERFeatureGenerator.MSERDirection) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
Performs a watershed then an MSER detection on the given image and
returns the MSERs.
- generateNegativeExamples(int, int, int, long, InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.objectdetection.datasets.INRIAPersonDataset
-
- generateNewShape(double[]) - Method in class org.openimaj.math.geometry.shape.PointDistributionModel
-
Generate a plausible new shape from the scaling vector.
- generatePackageMappings(Collection<ClassDef>) - Static method in class org.openimaj.rdf.owl2java.Generator
-
Creates a cache of mappings that map URIs to package names.
- generateSkinColorMap(MBFImage) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- generateSobelMagnitudes(MBFImage) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- generateWeightTableCache(int, int) - Method in class org.openimaj.audio.filters.HammingAudioProcessor
-
Generate the cos table cache
- generateWeightTableCache(int, int) - Method in class org.openimaj.audio.filters.HanningAudioProcessor
-
Generate the cos table cache
- generateWeightTableCache(int, int) - Method in class org.openimaj.audio.filters.WeightedWindowedAudioProcessor
-
Generate the cos table cache
- Generator - Class in org.openimaj.rdf.owl2java
-
The main class of the OWL 2 Java tool.
- Generator() - Constructor for class org.openimaj.rdf.owl2java.Generator
-
- Generator.GeneratorOptions - Class in org.openimaj.rdf.owl2java
-
Options for the generation of the Java classes.
- GeneratorOptions() - Constructor for class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
- Generic() - Constructor for class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection.Generic
-
- GenericValuePixel<T> - Class in org.openimaj.image.pixel
-
Represents a pixel location.
- GenericValuePixel(int, int) - Constructor for class org.openimaj.image.pixel.GenericValuePixel
-
Default constructor
- GenericValuePixel(int, int, T) - Constructor for class org.openimaj.image.pixel.GenericValuePixel
-
Constructor that takes the location and value of the
pixel.
- geo - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- geo - Variable in class org.openimaj.twitter.USMFStatus
-
Latitude/Longitude content creation location
- geo - Variable in class org.openimaj.twitter.USMFStatus.User
-
Latitude/Logitude User location
- GeoFilter - Class in org.openimaj.tools.twitter.modes.filter
-
- GeoFilter() - Constructor for class org.openimaj.tools.twitter.modes.filter.GeoFilter
-
- geometricMeanAveragePrecision() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- GeometricObject2d - Interface in org.openimaj.math.geometry
-
A generalised 2D geometric object that has a calculable centre of gravity and
regular bounding box.
- GeonamesIndex - Class in org.openimaj.text.nlp.geocode
-
- GeonamesIndexGenerator - Class in org.openimaj.text.nlp.geocode
-
A harvester to parse and index the geo data into an embedded Solr index.
- GeonamesIndexGenerator(File) - Constructor for class org.openimaj.text.nlp.geocode.GeonamesIndexGenerator
-
Basic constructor.
- get(String, int, int, int) - Method in class backtype.storm.spout.KestrelThriftClient
-
- get(int, int) - Method in class ch.akuhn.matrix.DenseMatrix
-
- get(int) - Method in class ch.akuhn.matrix.DenseVector
-
- get(int, int) - Method in class ch.akuhn.matrix.Matrix
-
- get(int, int) - Method in class ch.akuhn.matrix.SparseMatrix
-
- get(int) - Method in class ch.akuhn.matrix.SparseVector
-
- get(int, int) - Method in class ch.akuhn.matrix.SymmetricMatrix
-
- get(int) - Method in class ch.akuhn.matrix.Vector
-
Get the value at the given index
- get(String, int, int, int, AsyncMethodCallback<Kestrel.AsyncClient.get_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- get(String, int, int, int, AsyncMethodCallback<Kestrel.AsyncClient.get_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- get(String, int, int, int) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- get(String, int, int, int) - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- get(int) - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Get the sample at the given index.
- get(int) - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Get the sample at the given index.
- get(int) - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Get the sample at the given index.
- get(int) - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Get the sample at the given index.
- get(int) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- get(int) - Method in class org.openimaj.data.dataset.ReadableListDataset
-
- get(int) - Method in class org.openimaj.feature.ByteFV
-
Get the element at the given flat index
- get(int) - Method in class org.openimaj.feature.DoubleFV
-
Get the element at the given flat index
- get(int) - Method in class org.openimaj.feature.FloatFV
-
Get the element at the given flat index
- get(int) - Method in class org.openimaj.feature.IntFV
-
Get the element at the given flat index
- get(int) - Method in class org.openimaj.feature.LongFV
-
Get the element at the given flat index
- get(int) - Method in class org.openimaj.feature.MultidimensionalByteFV
-
Get the element at the given flat index
- get(int...) - Method in class org.openimaj.feature.MultidimensionalByteFV
-
Get the element at the given n-dimensional coordinate
- get(int) - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
Get the element at the given flat index
- get(int...) - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
Get the element at the given n-dimensional coordinate
- get(int) - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
Get the element at the given flat index
- get(int...) - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
Get the element at the given n-dimensional coordinate
- get(int) - Method in class org.openimaj.feature.MultidimensionalIntFV
-
Get the element at the given flat index
- get(int...) - Method in class org.openimaj.feature.MultidimensionalIntFV
-
Get the element at the given n-dimensional coordinate
- get(int) - Method in class org.openimaj.feature.MultidimensionalLongFV
-
Get the element at the given flat index
- get(int...) - Method in class org.openimaj.feature.MultidimensionalLongFV
-
Get the element at the given n-dimensional coordinate
- get(int) - Method in class org.openimaj.feature.MultidimensionalShortFV
-
Get the element at the given flat index
- get(int...) - Method in class org.openimaj.feature.MultidimensionalShortFV
-
Get the element at the given n-dimensional coordinate
- get(int) - Method in class org.openimaj.feature.ShortFV
-
Get the element at the given flat index
- get(int) - Method in interface org.openimaj.image.searching.IncrementalMetaIndex
-
- get(int) - Method in class org.openimaj.image.searching.MapBackedMetaIndex
-
- get(String) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Get the next value in the queue
- get(String, int) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Get the next value in the queue
- get(String, Duration) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Get the next value from the queue
- get(int) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Get the data item at the given index.
- get(int) - Method in class org.openimaj.math.geometry.point.PointList
-
Get the ith point
- get(int, int) - Method in class org.openimaj.math.matrix.DiagonalMatrix
-
- get(int, int) - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
- get(ANNOTATION) - Method in class org.openimaj.ml.annotation.utils.AnnotatedListHelper
-
Retrieve all the items from the data that have a specific
annotation.
- get(long, int, int) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- get(long, long) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- get(long, int, int, TIMESERIES) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- get(long, long, long) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- get(long, int, int) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- get(long, int, int, TS) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- get(long, long, long) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- get(long, long) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- get(long, int, int) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- get(long, int, int, DoubleTimeSeries) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- get(long, long, long) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- get(long, long) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- get(long) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- get(long, int, int) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
returns the DATA at a specific point in time and those before and after
to the number requested.
- get(long, int, int, RETURNTYPE) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- get(long, long, long) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
returns the RETURNTYPE at a specific point in time and those before and
after within the specified thresholds.
- get(long, long) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
returns the RETURNTYPE between the specified time periods.
- get(int) - Method in class org.openimaj.tools.clusterquantiser.FeatureFile
-
The ith local feature
- get(int) - Method in class org.openimaj.tools.clusterquantiser.MemoryFeatureFile
-
- get(int) - Method in class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
- get(Class<T>) - Static method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Convenience method equivalent to
getInstance().getToken(tokenClass).
- get(Class<T>, String) - Static method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Convenience method equivalent to
getInstance().getToken(tokenClass, name).
- get(int) - Method in class org.openimaj.util.array.ByteArrayView
-
Get the ith element of this array view.
- get(int) - Method in class org.openimaj.util.array.DoubleArrayView
-
Get the ith element of this array view.
- get(int) - Method in class org.openimaj.util.array.FloatArrayView
-
Get the ith element of this array view.
- get(int) - Method in class org.openimaj.util.array.IntArrayView
-
Get the ith element of this array view.
- get(int) - Method in class org.openimaj.util.array.LongArrayView
-
Get the ith element of this array view.
- get(int) - Method in class org.openimaj.util.array.ShortArrayView
-
Get the ith element of this array view.
- get(int) - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- get(int) - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- get(int) - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- get(int) - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- get(int) - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- get(int) - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- get(int) - Method in class org.openimaj.util.array.SparseByteArray
-
Get the value at the given index.
- get(int) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Get the value at the given index.
- get(int) - Method in class org.openimaj.util.array.SparseFloatArray
-
Get the value at the given index.
- get(int) - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- get(int) - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- get(int) - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- get(int) - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- get(int) - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- get(int) - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- get(int) - Method in class org.openimaj.util.array.SparseIntArray
-
Get the value at the given index.
- get(int) - Method in class org.openimaj.util.array.SparseLongArray
-
Get the value at the given index.
- get(int) - Method in class org.openimaj.util.array.SparseShortArray
-
Get the value at the given index.
- get(int) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- get(int) - Method in class org.openimaj.util.list.AcceptingListView
-
- get(int) - Method in class org.openimaj.util.list.ConcatenatedList
-
- get(int) - Method in class org.openimaj.util.list.SkippingListView
-
- get(KEY) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- get2dPoint(GL2, double, double, double) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- get_age() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- get_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.get_args
-
- get_args(String, int, int, int) - Constructor for class net.lag.kestrel.thrift.Kestrel.get_args
-
- get_args(Kestrel.get_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.get_args
-
Performs a deep copy on other.
- get_auto_abort_msec() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- get_bytes() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- get_call(String, int, int, int, AsyncMethodCallback<Kestrel.AsyncClient.get_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.get_call
-
- get_data() - Method in class net.lag.kestrel.thrift.Item
-
- get_expiration_msec() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- get_head_item() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- get_id() - Method in class net.lag.kestrel.thrift.Item
-
- get_ids() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- get_ids() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- get_ids_iterator() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- get_ids_iterator() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- get_ids_size() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- get_ids_size() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- get_items() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- get_items() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- get_items_iterator() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- get_items_size() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- get_journal_bytes() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- get_max_items() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- get_min_size() - Method in class com.jsaragih.FDet
-
- get_open_transactions() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- get_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- get_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- get_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- get_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- get_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- get_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- get_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- get_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.get_result
-
- get_result(List<Item>) - Constructor for class net.lag.kestrel.thrift.Kestrel.get_result
-
- get_result(Kestrel.get_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.get_result
-
Performs a deep copy on other.
- get_success() - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- get_success() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- get_success() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- get_success() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- get_success() - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- get_success() - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- get_success_iterator() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- get_success_size() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- get_timeout_msec() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- get_version() - Method in class backtype.storm.spout.KestrelThriftClient
-
- get_version(AsyncMethodCallback<Kestrel.AsyncClient.get_version_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- get_version(AsyncMethodCallback<Kestrel.AsyncClient.get_version_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- get_version() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- get_version() - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- get_version_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- get_version_args(Kestrel.get_version_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.get_version_args
-
Performs a deep copy on other.
- get_version_call(AsyncMethodCallback<Kestrel.AsyncClient.get_version_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.get_version_call
-
- get_version_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- get_version_result(String) - Constructor for class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- get_version_result(Kestrel.get_version_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.get_version_result
-
Performs a deep copy on other.
- get_waiters() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- getAbout() - Method in interface orgrdfs.sioc.ns.Item
-
- getAbout() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getAbout() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getAcceleration() - Method in class org.openimaj.hardware.kinect.KinectController
-
Get the current acceleration values from the device
- getAccessLevel() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getAccount_of() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getAccount_of() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getAccumulator() - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the accumulator space.
- getActualHeightScale() - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
Get the actual scale to render the font at.
- getActualPoints(FacialKeypoint[], Matrix) - Method in class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
- getActualWidthScale() - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
Get the actual scale to render the font at.
- getAddressed_to() - Method in interface orgrdfs.sioc.ns.Item
-
- getAddressed_to() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getAddressed_to() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getAdministrator_of() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getAdministrator_of() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getAffineConsistencyCheck() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getAggregatedResult() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAggregator
-
- getAggregatedResult() - Method in interface org.openimaj.experiment.evaluation.ResultAggregator
-
Get the aggregated result
- getAlbumImages(String) - Method in class org.openimaj.web.scraping.images.ImgurClient
-
Calls http://api.imgur.com/2/album/:ID
- getAliasFrom(String) - Static method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
- getAligner() - Method in interface org.openimaj.tools.faces.recognition.options.Aligners.AlignerDetectorProvider
-
- getAll() - Method in interface org.openimaj.tools.imagecollection.collection.ImageCollection
-
- getAll() - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection
-
- getAll() - Method in class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection
-
- getAllInputs() - Method in class org.openimaj.tools.InOutToolOptions
-
- getAllLinks() - Method in class org.openimaj.web.readability.Readability
-
- getAllMatches() - Method in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- getAllMatches() - Method in class org.openimaj.feature.local.matcher.consistent.LocalConsistentKeypointMatcher
-
- getAllMatches() - Method in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- getAllSuperclasses(RepositoryConnection) - Method in class org.openimaj.rdf.owl2java.ClassDef
-
Traverses up the tree from this class to find all ancestor
allSuperclasses.
- getAllTransitiveLeavesOf(String, String, String) - Method in class org.openimaj.text.nlp.namedentity.SparqlTransitiveClosure
-
Given a root entity, return a hash set of all transitive relationships up
until a leaf nodes
- getAnalysis(String) - Method in class org.openimaj.twitter.GeneralJSON
-
- getAnalysisKey() - Method in class org.openimaj.tools.twitter.modes.preprocessing.CountryCodeMode
-
- getAnalysisKey() - Method in class org.openimaj.tools.twitter.modes.preprocessing.LanguageDetectionMode
-
- getAnalysisKey() - Method in class org.openimaj.tools.twitter.modes.preprocessing.NERMode
-
- getAnalysisKey() - Method in class org.openimaj.tools.twitter.modes.preprocessing.SentimentExtractionMode
-
- getAnalysisKey() - Method in class org.openimaj.tools.twitter.modes.preprocessing.StemmingMode
-
- getAnalysisKey() - Method in class org.openimaj.tools.twitter.modes.preprocessing.StopwordMode
-
- getAnalysisKey() - Method in class org.openimaj.tools.twitter.modes.preprocessing.TokeniseMode
-
- getAnalysisKey() - Method in class org.openimaj.tools.twitter.modes.preprocessing.TwitterPreprocessingMode
-
- getAnalyzer() - Method in class org.openimaj.text.nlp.namedentity.QuickIndexer
-
- getAngle() - Method in class org.openimaj.image.typography.FontStyle
-
- getAngleJitter() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the amount of angle jitter in use.
- getAnnotationKeyList() - Method in class org.openimaj.text.nlp.textpipe.annotations.TextPipeAnnotation
-
- getAnnotations() - Method in class org.openimaj.audio.AudioAnnotator
- getAnnotations() - Method in class org.openimaj.image.annotation.evaluation.dataset.CorelAnnotatedImage
-
- getAnnotations() - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- getAnnotations() - Method in interface org.openimaj.ml.annotation.Annotated
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.AnnotatedObject
-
- getAnnotations() - Method in interface org.openimaj.ml.annotation.Annotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.basic.IndependentPriorRandomAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.basic.UniformRandomAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator
-
- getAnnotations(VectorNaiveBayesCategorizer<ANNOTATION, NaiveBayesAnnotator.PDF>, Vector) - Method in enum org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator.Mode
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.FeatureCachingIncrementalBatchAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.InstanceCachingIncrementalBatchAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.linear.DenseLinearTransformAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.linear.LiblinearAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.linear.LinearSVMAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.model.ModelAnnotator
-
- getAnnotations() - Method in class org.openimaj.ml.annotation.svm.SVMAnnotator
- getAnnotations() - Method in class org.openimaj.ml.annotation.utils.AnnotatedListHelper
-
Get the set of all known annotations
- getAnnotations() - Method in class org.openimaj.text.nlp.namedentity.YagoEntityCandidateAnnotator
-
- getAnnotations() - Method in class org.openimaj.text.nlp.namedentity.YagoEntityCompleteAnnotator
-
- getAnnotations() - Method in class org.openimaj.text.nlp.namedentity.YagoEntityContextAnnotator
-
- getAnnotations() - Method in class org.openimaj.text.nlp.sentiment.model.TokenListSentimentAnnotator
-
- getAnnotations() - Method in class org.openimaj.text.nlp.sentiment.model.TokenSentimentAnnotator
-
- getAnnotationsFor(Class<T>) - Method in class org.openimaj.text.nlp.textpipe.annotations.TextPipeAnnotation
-
- getAnnotationsQ1(GroupedDataset<String, ListDataset<MMSys2013.Response>, MMSys2013.Response>) - Static method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
For a given
GroupedDataset
that represents the results from a
single category, returns a list of scored annotations for each group, for
question 1 (contains depication of category).
- getAnnotationsQ2(GroupedDataset<String, ListDataset<MMSys2013.Response>, MMSys2013.Response>) - Static method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
For a given
GroupedDataset
that represents the results from a
single category, returns a list of scored annotations for each group, for
question 2 (is in category).
- getAnnotator() - Method in enum org.openimaj.audio.AudioAnnotator.AudioAnnotatorType
-
Returns a annotator that can train a DoubleFV feature with a specific
String label.
- getAnnotator() - Method in class org.openimaj.audio.AudioAnnotator
-
Get the annotator type in use.
- getAnyJavaOutputLine(AudioFormat) - Static method in class org.openimaj.audio.util.AudioUtils
-
Gets a Java output line (SourceDataLine) that can play something with
the given audio format.
- getArgs() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
- getArray(int) - Method in class org.openimaj.image.model.patch.MBFPatchClassificationModel
-
- getArray(int) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
-
- getArray(int) - Method in class org.openimaj.image.model.pixel.MBFPixelClassificationModel
-
- getArray(int) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
-
- getArrayBackedVideo() - Method in class org.openimaj.video.VideoCache
-
- getArticleContentType() - Method in class org.openimaj.web.readability.Readability
-
- getArticleDate() - Method in class org.openimaj.web.readability.Readability
-
- getArticleDateString() - Method in class org.openimaj.web.readability.Readability
-
- getArticleHTML() - Method in class org.openimaj.web.readability.Readability
-
- getArticleHTML_DOM() - Method in class org.openimaj.web.readability.Readability
-
- getArticleImages() - Method in class org.openimaj.web.readability.Readability
-
- getArticleLinks() - Method in class org.openimaj.web.readability.Readability
-
- getArticleSubheadings() - Method in class org.openimaj.web.readability.Readability
-
- getArticleText() - Method in class org.openimaj.web.readability.Readability
-
- getArticleTextMapping(TreeWalker, List<Readability.MappingNode>) - Method in class org.openimaj.web.readability.Readability
-
- getArticleTextMapping() - Method in class org.openimaj.web.readability.Readability
-
Get the mapping between bits of text in the dom & their xpaths
- getArticleTitle() - Method in class org.openimaj.web.readability.Readability
-
- getAsDouble(int) - Method in class org.openimaj.feature.ByteFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.DoubleFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.EnumFV
-
- getAsDouble(int) - Method in interface org.openimaj.feature.FeatureVector
-
Get an element of the feature as a double value
- getAsDouble(int) - Method in class org.openimaj.feature.FloatFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.IntFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.LongFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.ShortFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.SparseByteFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.SparseDoubleFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.SparseFloatFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.SparseIntFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.SparseLongFV
-
- getAsDouble(int) - Method in class org.openimaj.feature.SparseShortFV
-
- getAspect() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getAssignmentHistogram() - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
Compute the histogram of number of assignments to each cluster
- getAssignments() - Method in class org.openimaj.ml.clustering.meanshift.ExactMeanShift
-
Get the assignments
- getAsyncClient(TNonblockingTransport) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.Factory
-
- getAttachment() - Method in interface orgrdfs.sioc.ns.Item
-
- getAttachment() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getAttachment() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getAttack() - Method in class org.openimaj.audio.generation.Synthesizer
-
Get the ADSR attack time in milliseconds
- getAttr(double) - Static method in enum org.openimaj.image.feature.global.Colorfulness.ColorfulnessAttr
-
Get the colourfulness class for a given colourfulness value.
- getAttr(double, double) - Static method in enum org.openimaj.image.feature.global.HueStats.ToneAttr
-
Estimate the tone from the given mean and variance of the hue.
- getAudioOverview() - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation.AudioOverviewGenerator
-
- getAudioOverview(int, int) - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation.AudioOverviewGenerator
-
Refactors the overview to given another overview.
- getAudioStream(ListDataset<List<SampleBuffer>>) - Static method in class org.openimaj.audio.analysis.benchmarking.AudioDatasetHelper
-
From a dataset that contains sample buffers, this method will return an
AudioStream
which will return each of the sample buffers in turn.
- getAudioWaveformImage(AudioStream, int, int, Float[], Float[]) - Static method in class org.openimaj.vis.audio.AudioOverviewVisualisation
-
Generates a waveform image that fits within the given width and height
and drawn in the given colour.
- getAvatar() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getAvatar() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getAxesRenderer() - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
Provides access to the underlying axes renderer so that various changes
can be made to the visualisation.
- getAxesRenderer() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
Returns the object rendering the axes
- getAxis() - Method in class org.openimaj.image.processing.effects.DioramaEffect
-
Get the current tilt axis
- getAxisColour() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getAxisColour() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- getAxisLength() - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- getAxisLocation() - Method in class org.openimaj.vis.general.BarVisualisation
-
Returns the last calculated axis location
- getAxisLocation() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Returns the last calculated axis location
- getAxisPaddingBottom() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- getAxisPaddingLeft() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- getAxisPaddingRight() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- getAxisPaddingTop() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- getAxisRangeX() - Method in class org.openimaj.vis.general.BarVisualisation
-
The data range being displayed.
- getAxisRangeY() - Method in class org.openimaj.vis.general.BarVisualisation
-
The data range being displayed.
- getAxisRangeY() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
The data range being displayed.
- getAxisWidth() - Method in class org.openimaj.vis.general.BarVisualisation
-
Get the width of the axis being drawn
- getAxisWidth() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Get the width of the axis being drawn
- getBackgroundColour() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getBackgroundColour() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- getBand(int) - Method in class org.openimaj.image.MultiBandImage
-
Get the band at index i.
- getBandwidth() - Method in class org.openimaj.math.statistics.distribution.MultivariateKernelDensityEstimate
-
Get the bandwidth
- getBarColour() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getBarColour() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- getBarColour() - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
- getBarWidth() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getBasis() - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Get the basis (the LDA eigenvectors)
- getBasis() - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Get the principal components.
- getBasisVector(int) - Method in class org.openimaj.image.model.FisherImages
-
Get a specific basis vector as a double array.
- getBasisVector(int) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Get a specific basis vector as
a double array.
- getBeats() - Method in class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Returns the number of beats.
- getBeatTimecode() - Method in class org.openimaj.audio.analysis.BeatDetector
-
Returns the timecode at which the first beat in this sample chunk
was detected.
- getBeginPoint() - Method in class org.openimaj.math.geometry.line.Line2d
-
Get the start point
- getBest(int) - Method in class org.openimaj.image.analysis.algorithm.HoughCircles
-
Get the n-best detected circles.
- getBestLine() - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the top line in the accumulator space.
- getBestLine(FImage, int) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the top line in the given accumulator space.
- getBestLine(float, float) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the best line within a certain angular range.
- getBestLines(int, float, float) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the top n lines from the given accumulator space within the range.
- getBestLines(int) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the top n lines from the accumulator space.
- getBestLines(int, FImage, int) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Returns the top n lines from the given accumulator space.
- getBestResponses(int) - Method in class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
Get the top-N "best" responses found by the template matcher.
- getBestResponses(int) - Method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
Get the top-N "best" responses found by the template matcher.
- getBestResponses(int, FImage, int, int, Comparator<FValuePixel>) - Static method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
Get the top-N "best" responses found by the template matcher.
- getBias() - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- getBias() - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- getBias() - Method in class org.openimaj.ml.linear.learner.perceptron.DoubleArrayKernelPerceptron
-
- getBias() - Method in class org.openimaj.ml.linear.learner.perceptron.KernelPerceptron
-
- getBias() - Method in class org.openimaj.ml.linear.learner.perceptron.Projectron
-
- getBias() - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Get the bias, b
- getBibliography() - Method in class org.openimaj.experiment.ExperimentContext
-
Get the bibliography for the experiment.
- getBiggest(List<FACE>) - Static method in class org.openimaj.image.processing.face.detection.DatasetFaceDetector
-
Get the biggest face (by area) from the list
- getBilinearLearner(int, int) - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
Construct a learner with the desired number of users and words.
- getBilinearLearner() - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- getBinHeight() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
(Optional operation) Get the height of a single bin of the sampling
window (in pixels).
- getBinHeight() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getBinHeight() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getBinHeight() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
This returns the bin size of the zeroth level only.
- getBinMap() - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- getBinWidth() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
(Optional operation) Get the width of a single bin of the sampling window
(in pixels).
- getBinWidth() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getBinWidth() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getBinWidth() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
This returns the bin size of the zeroth level only.
- getBlockSize() - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
Get the number of samples processed in a batch by a thread.
- getBlurredPixelProportion() - Method in class org.openimaj.image.feature.global.SharpPixelProportion
-
- getBody() - Method in class org.openimaj.web.layout.LayoutExtractor
-
Get the BODY element of the loaded page
- getBody() - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get the BODY element of the loaded page
- getBody() - Method in class org.openimaj.web.readability.Readability
-
Equivalent to document.body in JS
- getBorderPixels() - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Get the number of pixels used for a border that processors shouldn't
touch.
- getBottomRight() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- getBoundingBoxColour() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- getBoundingBoxes() - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
- getBoundingBoxPaddingPc() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Get the expansion value of the bounding boxes that are generated for the
text regions.
- getBounds() - Method in class org.openimaj.image.annotation.evaluation.datasets.Caltech101.Record
-
Get the bounds rectangle if it is available
- getBounds() - Method in class org.openimaj.image.Image
-
Get a rectangle representing the image, with the top-left at 0,0 and the
bottom-right at width,height
- getBounds() - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
Get the bounding box of the face in the detection image.
- getBounds() - Method in class org.openimaj.image.processing.face.feature.DoGSIFTFeature
-
- getBounds() - Method in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
- getBounds(String, int, int, Q) - Method in class org.openimaj.image.typography.FontRenderer
-
Calculate the bounding box of the rendered text with the given style.
- getBounds(AttributedString, ImageRenderer<T, ?>) - Static method in class org.openimaj.image.typography.FontRenderer
-
- getBounds() - Method in class org.openimaj.text.geo.WorldPolygons
-
- getBounds() - Method in class org.openimaj.video.tracking.klt.FeatureList
-
Returns the bounding box of the features
- getBounds() - Method in class org.openimaj.vis.world.WorldPolygons
-
Get the bounds of all the polygons
- getBounds() - Method in class org.openimaj.web.layout.ElementInfo
-
- getBPM() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Returns the number of BPMs this timekeeper is running at.
- getBrightness() - Method in class org.openimaj.image.feature.global.AvgBrightness
-
Get the brightness.
- getBucketId(OBJECT[]) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Compute identifiers of the buckets in which the given points belong for
all the tables.
- getBucketId(OBJECT) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Compute identifiers of the buckets in which the given point belongs for
all the tables.
- getBuffer() - Method in class org.openimaj.util.stream.BlockingDroppingBufferedStream
-
- getByte(String) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Get the next value in the queue
- getByte(String, int) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Get the next value in the queue
- getByte(String, Duration) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Get the next value from the queue
- getByteKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
- getByteKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
- getByteKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getByteKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getByteKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getByteKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getByteKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getByteKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getByteKeypointsGrouped() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getByteKeypointsGrouped(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getBytes(File) - Static method in class org.openimaj.image.ImageUtilities
-
Returns the contents of a file in a byte array.
- getBytes(InputStream) - Static method in class org.openimaj.image.ImageUtilities
-
Converts the input stream to a byte array.
- getC() - Method in class org.openimaj.math.model.LeastSquaresLinearModel
-
Get the offset (c in y=mx+c)
- getCameraPosition() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- getCameraPosition() - Method in interface org.openimaj.vis.general.CameraPositionProvider
-
Returns the camera position (x, y, z) position,
(x, y, z) look at position, (x, y, z) camera normal (up).
- getCameraPosition() - Method in class org.openimaj.vis.general.RotatingCameraProvider
-
Returns the camera position (x, y, z) position,
(x, y, z) look at position, (x, y, z) camera normal (up).
- getCameras() - Method in class org.openimaj.image.camera.calibration.CameraCalibrationZhang
-
Get the computed (extrinsic and intrinsic) camera parameters for all
images used at construction time (in the same order).
- getCandidates(List<String>) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityCandidateFinderFactory.YagoEntityCandidateFinder
-
Gets candidate entities.
- getCandidatesFromReversableTokenList(List<TokenAnnotation>) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityCandidateFinderFactory.YagoEntityCandidateFinder
-
Gets candidate entities.
- getCannyEdgeDetector() - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
Get the edge detector used.
- getCanonicalImageDimension() - Method in class org.openimaj.image.processing.face.detection.keypoints.FacialKeypointExtractor
-
Get the size of the face image that the keypoint extractor
can work with.
- getCascade() - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- getCentreFrequency() - Method in class org.openimaj.audio.filters.TriangularFilter
-
Get the centre frequency
- getCentroid() - Method in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- getCentroids() - Method in class org.openimaj.ml.clustering.ByteCentroidsResult
-
- getCentroids() - Method in interface org.openimaj.ml.clustering.CentroidsProvider
-
- getCentroids() - Method in class org.openimaj.ml.clustering.DoubleCentroidsResult
-
- getCentroids() - Method in class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
- getCentroids() - Method in class org.openimaj.ml.clustering.FloatCentroidsResult
-
- getCentroids() - Method in class org.openimaj.ml.clustering.IntCentroidsResult
-
- getCentroids() - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
- getCentroids() - Method in class org.openimaj.ml.clustering.LongCentroidsResult
-
- getCentroids() - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- getCentroids() - Method in class org.openimaj.ml.clustering.ShortCentroidsResult
-
- getChannelPolygon(int, boolean, int) - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation.AudioOverviewGenerator
-
Returns a polygon representing the channel overview.
- getChannelsInUse() - Method in class org.openimaj.audio.generation.PolyphonicSynthesizer
-
The number of synths in use.
- getCharCount(Element, String) - Method in class org.openimaj.web.readability.Readability
-
Get the number of times a string s appears in the node e.
- getCharCount(Element) - Method in class org.openimaj.web.readability.Readability
-
- getChildren() - Method in interface org.openimaj.util.tree.TreeNode
-
Get all children
- getChildren() - Method in class org.openimaj.util.tree.TreeNodeImpl
-
- getCircle(float) - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
Create an ellipse based on the features parameters.
- getClass(Type) - Static method in class org.openimaj.util.reflection.ReflectionUtils
-
Get the underlying class for a type, or null if the type is a variable
type.
- getClassDistribution(T) - Method in class org.openimaj.math.model.UnivariateGaussianNaiveBayesModel
-
Get the class distribution for the given class.
- getClassDistribution() - Method in class org.openimaj.math.model.UnivariateGaussianNaiveBayesModel
-
Get the class distribution for all classes.
- getClasses() - Method in class org.openimaj.image.objectdetection.haar.training.BasicTrainingData
-
- getClasses() - Method in class org.openimaj.image.objectdetection.haar.training.CachedTrainingData
-
- getClasses() - Method in interface org.openimaj.ml.classification.LabelledDataProvider
-
- getClassifier() - Method in class org.openimaj.image.objectdetection.haar.Detector
-
Get the classifier tree or cascade used by this detector.
- getClassPriors() - Method in class org.openimaj.math.model.UnivariateGaussianNaiveBayesModel
-
- getClassWeight(Element) - Method in class org.openimaj.web.readability.Readability
-
Get an elements class/id weight.
- getClient(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.Client.Factory
-
- getClient(TProtocol, TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.Client.Factory
-
- getClusterCentroid(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Given a path, get the cluster centroid associated with the cluster index of the path.
- getClusterCentroid(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Given a path, get the cluster centroid associated with the cluster index of the path.
- getClusterCentroid(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Given a path, get the cluster centroid associated with the cluster index of the path.
- getClusterCentroid(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Given a path, get the cluster centroid associated with the cluster index of the path.
- getClusterCentroid(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Given a path, get the cluster centroid associated with the cluster index of the path.
- getClusterCentroid(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Given a path, get the cluster centroid associated with the cluster index of the path.
- getClusterClass() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getClusterClass() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getClusterClass() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getClusterClass() - Method in class org.openimaj.tools.clusterquantiser.ClusterType.ClusterTypeOp
-
- getClusterInputStream(String) - Static method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getClusterInputStream() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getClusterInputString() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getClusterType() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getClusterType() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getClusterType() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getCoefficients(double, double) - Method in enum org.openimaj.audio.filters.EQFilter.EQType
-
Initialise the filter
- getCoefficients() - Method in class org.openimaj.audio.filters.FIRFilter
-
Returns the coefficients for the particular filter
- getCoherenceFactor() - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
Get the edge coherence factor.
- getColor() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getColorfulness() - Method in class org.openimaj.image.feature.global.Colorfulness
-
- getColorfulnessAttribute() - Method in class org.openimaj.image.feature.global.Colorfulness
-
- getColour() - Method in class org.openimaj.image.processor.connectedcomponent.render.AbstractRenderer
-
Returns the colour that the components will be drawn in.
- getColour(ConfigurableRenderOptions) - Method in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererMono
-
Get the colour that a specific option will be drawn in.
- getColour(ConfigurableRenderOptions) - Method in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererRGB
-
Get the colour that a specific option will be drawn in.
- getColour() - Method in class org.openimaj.image.typography.FontStyle
-
- getColour() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getColourMap() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- getColourMap() - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
- getColourMap() - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- getColourMap() - Method in class org.openimaj.vis.general.HeightMap3D
-
- getColourMapMax() - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
- getColourMapMax() - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- getColourMapMin() - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
- getColourMapMin() - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- getColourSpace() - Method in class org.openimaj.image.MultiBandImage
-
Get the colour space of this image
- getColourspace() - Method in class org.openimaj.vis.animators.ColourSpaceAnimator
-
- getCols() - Method in class org.openimaj.image.Image
-
Get the image width in pixels.
- getCombinations(String) - Method in class org.openimaj.text.nlp.namedentity.Rationaliser
-
- getComp(T, FeatureComparison) - Method in class org.openimaj.tools.globalfeature.CollectionComparisonTool
-
Get a feature comparison class for the given feature and metric.
- getComp(T, FeatureComparison) - Method in class org.openimaj.tools.globalfeature.PairWiseComparisonTool
-
- getComp(T, FeatureComparison) - Method in class org.openimaj.tools.globalfeature.SegmentingPairWiseComparisonTool
-
- getComparisonMeasure() - Method in class org.openimaj.image.model.patch.HistogramPatchModel
-
- getCompassData() - Method in class org.openimaj.hardware.compass.CompassSerialReader
-
- getComponent(int, int) - Method in class org.openimaj.content.slideshow.AudioVideoSlide
-
- getComponent(int, int) - Method in class org.openimaj.content.slideshow.PictureSlide
-
- getComponent(int, int) - Method in interface org.openimaj.content.slideshow.Slide
-
Get the component to draw.
- getComponent(int, int) - Method in class org.openimaj.content.slideshow.VideoSlide
-
- getComponentConfiguration() - Method in class org.openimaj.picslurper.DownloadBolt
-
- getComponentConfiguration() - Method in class org.openimaj.picslurper.LocalTweetSpout
-
- getComponentConfiguration() - Method in class org.openimaj.picslurper.PrintBolt
-
- getComponentConfiguration() - Method in class org.openimaj.storm.bolt.PrintingBolt
-
- getComponents() - Method in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- getComponents() - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
-
- getCompressionCodecClass() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- getCompressionType() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- getConcurrency() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getConf() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairPartitioner
-
- getConf() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortPartitioner
-
- getConfidence(CLASS) - Method in class org.openimaj.experiment.evaluation.classification.BasicClassificationResult
-
- getConfidence(CLASS) - Method in interface org.openimaj.experiment.evaluation.classification.ClassificationResult
-
Get the confidence associated with the given class.
- getConfidence() - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
Get the confidence of the detection.
- getConfig(LDALearner.LDAConfig) - Method in class org.openimaj.pgm.vb.lda.mle.LDALearner
-
- getConfig() - Method in class org.openimaj.vis.general.AxisRenderer
-
- getConfig() - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- getConfiguration() - Method in class org.openimaj.image.processing.face.detection.CLMFaceDetector
-
Get the internal configuration of the detector.
- getConfiguration() - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Get the configuration
- getConfiguration() - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Get the configuration
- getConfiguration() - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Get the configuration
- getConfiguration() - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Get the configuration
- getConfiguration() - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Get the configuration
- getConfiguration() - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Get the configuration
- getConfiguration() - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Get the configuration
- getConnectedComponent() - Method in class org.openimaj.image.processing.face.detection.CCDetectedFace
-
- getConnectedComponent(DetectedFace) - Method in enum org.openimaj.image.processing.face.detection.FaceDetectorFeatures
-
- getConnectionColour() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- getConnections() - Method in interface org.openimaj.image.model.asm.datasets.ShapeModelDataset
-
Get the connections between the points
- getConnections(Point2d, PointList) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Get the points connected to the given point.
- getConnections(int) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Get the indices of all the points connected to the point with the given
index.
- getContainer_of() - Method in interface orgrdfs.sioc.ns.Container
-
- getContainer_of() - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- getContainer_of() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getContent() - Method in interface orgrdfs.sioc.ns.Item
-
- getContent() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getContent() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getContent_encoded() - Method in interface orgrdfs.sioc.ns.Post
-
- getContent_encoded() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getContentArea() - Method in class org.openimaj.image.FImage
-
Get bounding box of non-zero-valued pixels around the outside of the
image.
- getContentArea() - Method in class org.openimaj.image.Image
-
Get bounding box of non-zero-valued pixels around the outside of the
image.
- getContentArea() - Method in class org.openimaj.image.MultiBandImage
-
Get bounding box of non-zero-valued pixels around the outside of the
image.
- getContentArea() - Method in class org.openimaj.image.SVGImage
-
- getContentUrl() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceResponse
-
- getContext() - Method in class org.openimaj.text.nlp.namedentity.YagoNamedEntity
-
- getContour() - Method in class org.openimaj.image.annotation.evaluation.datasets.Caltech101.Record
-
Get the object polygon if it is available.
- getContrast() - Method in class org.openimaj.image.feature.global.RGBRMSContrast
-
- getContrast() - Method in class org.openimaj.image.feature.global.RMSContrast
-
- getContrast() - Method in class org.openimaj.image.feature.global.WeberContrast
-
- getContributors() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getConvexHull(List<Point2d>) - Static method in class org.openimaj.math.geometry.shape.util.GrahamScan
-
Returns the convex hull of the Point2ds created from the list
Point2ds
.
- getCoordinates(int) - Method in class org.openimaj.feature.MultidimensionalByteFV
-
- getCoordinates(int) - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
- getCoordinates(int) - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
- getCoordinates(int) - Method in class org.openimaj.feature.MultidimensionalIntFV
-
- getCoordinates(int) - Method in class org.openimaj.feature.MultidimensionalLongFV
-
- getCoordinates(int) - Method in class org.openimaj.feature.MultidimensionalShortFV
-
- getCorners() - Method in class org.openimaj.image.camera.calibration.ChessboardCornerFinder
-
- getCount() - Method in class org.openimaj.hadoop.sequencefile.ExtractionState
-
- getCount() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getCountMode() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getCountryCode() - Method in class org.openimaj.vis.world.WorldPlace
-
- getCountryCodeByName(String) - Method in class org.openimaj.vis.world.WorldMap
-
Returns a country code for a given country name.
- getCountryLocation(String) - Method in class org.openimaj.vis.world.WorldMap
-
Returns the lat/long of a country given its country code
- getCovariance() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- getCovariance() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- getCovariance() - Method in class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
- getCovariance(int, int) - Method in class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
- getCovariance() - Method in class org.openimaj.math.statistics.distribution.DiagonalMultivariateGaussian
-
- getCovariance(int, int) - Method in class org.openimaj.math.statistics.distribution.DiagonalMultivariateGaussian
-
- getCovariance() - Method in class org.openimaj.math.statistics.distribution.FullMultivariateGaussian
-
- getCovariance(int, int) - Method in class org.openimaj.math.statistics.distribution.FullMultivariateGaussian
-
- getCovariance() - Method in interface org.openimaj.math.statistics.distribution.MultivariateGaussian
-
Get the covariance
- getCovariance(int, int) - Method in interface org.openimaj.math.statistics.distribution.MultivariateGaussian
-
Get a covariance value from the covariance matrix.
- getCovariance() - Method in class org.openimaj.math.statistics.distribution.SphericalMultivariateGaussian
-
- getCovariance(int, int) - Method in class org.openimaj.math.statistics.distribution.SphericalMultivariateGaussian
-
- getCovariance() - Method in class org.openimaj.math.statistics.MeanAndCovariance
-
Get the covariance matrix
- getCreated_at() - Method in interface orgrdfs.sioc.ns.Post
-
- getCreated_at() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getCreatedAt() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getCreator_of() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getCreator_of() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getCSVHeader() - Static method in class org.openimaj.web.layout.ElementInfo
-
- getCumulativeEnergies() - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Get the cumulative energies of each principal component
- getCumulativeEnergy(int) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Get the cumulative energy of the ith principal component
- getCurrentAngleDegrees() - Method in class org.openimaj.hardware.turntable.Turntable
-
Get the current absolute angle in degrees (relative to the position at
initialisation)
- getCurrentAngleRadians() - Method in class org.openimaj.hardware.turntable.Turntable
-
Get the current absolute angle in radians (relative to the position at
initialisation)
- getCurrentDisplayedPixelColour() - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Returns the current displayed pixel colour (as an RGB encoded int) from the
currently displayed image.
- getCurrentDrawPosition() - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Get the position at which the next spectrum will be drawn.
- getCurrentFrame() - Method in class org.openimaj.hardware.kinect.KinectStream
-
- getCurrentFrame() - Method in class org.openimaj.video.AnimatedVideo
-
- getCurrentFrame() - Method in class org.openimaj.video.ArrayBackedVideo
-
- getCurrentFrame() - Method in class org.openimaj.video.capture.VideoCapture
-
- getCurrentFrame() - Method in class org.openimaj.video.FileBackedVideo
-
- getCurrentFrame() - Method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- getCurrentFrame() - Method in class org.openimaj.video.processor.VideoProcessor
-
Get the current frame
- getCurrentFrame() - Method in class org.openimaj.video.translator.VideoTranslator
-
- getCurrentFrame() - Method in class org.openimaj.video.Video
-
Get the current frame
- getCurrentFrame() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Get the current frame
- getCurrentFrame() - Method in class org.openimaj.web.video.VGetVideo
-
- getCurrentFrameIndex() - Method in class org.openimaj.video.Video
-
Get the index of the current frame
- getCurrentFrameIndex() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Get the index of the current frame
- getCurrentGradientProps(ScaleSpaceImageExtractorProperties<MBFImage>) - Method in class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor
-
Get the GradientScaleSpaceImageExtractorProperties for the given
properties.
- getCurrentGradientProps(ScaleSpaceImageExtractorProperties<FImage>) - Method in class org.openimaj.image.feature.local.detector.dog.extractor.GradientFeatureExtractor
-
Get the GradientScaleSpaceImageExtractorProperties for the given
properties.
- getCurrentGradientProps(ScaleSpaceImageExtractorProperties<FImage>) - Method in class org.openimaj.image.feature.local.detector.ipd.extractor.InterestPointGradientFeatureExtractor
-
Get the GradientScaleSpaceImageExtractorProperties for the given
properties.
- getCurrentKey() - Method in class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileRecordReader
-
- getCurrentMouseImagePosition() - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Returns the current mouse position in the coordinates of the image and is
determined by the scaling factors and the position of the image within the
viewport.
- getCurrentMousePosition() - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Returns the current mouse position in pixels within the viewport.
- getCurrentPixelColour() - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Returns the current pixel colour at the point of the mouse.
- getCurrentPositionLineColour() - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Get the colour of the current position line
- getCurrentScale() - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- getCurrentScaleIndex() - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
- getCurrentScaleIndex() - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
- getCurrentScaleIndex() - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
- getCurrentScaleIndex() - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveInterestPointFinder
-
- getCurrentScaleIndex() - Method in interface org.openimaj.image.feature.local.detector.pyramid.OctaveInterestPointFinder
-
Get the current scale index within the octave.
- getCurrentShapes() - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Get the current shapes as an array for efficient access, first entry for
each shape is its rectangle, second entry is the shape
- getCurrentTimecode() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Returns a video timecode for the current frame.
- getCurrentUserRetweetId() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getCurrentValue() - Method in class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileRecordReader
-
- getCurrentValues() - Method in class org.openimaj.ml.linear.learner.init.CurrentUMean
-
- getCurrentValues() - Method in class org.openimaj.ml.linear.learner.init.CurrentValueMean
-
- getCurrentValues() - Method in class org.openimaj.ml.linear.learner.init.CurrentWMean
-
- getCutOff() - Method in interface org.openimaj.math.statistics.distribution.kernel.UnivariateKernel
-
Get the absolute value at which the kernel's response is essentially
zero.
- getData(int, int, DATATYPE[]) - Method in class org.openimaj.data.AbstractMultiListDataSource
-
- getData(int) - Method in class org.openimaj.data.AbstractMultiListDataSource
-
- getData(int, int, T[]) - Method in class org.openimaj.data.ArrayBackedDataSource
-
- getData(int) - Method in class org.openimaj.data.ArrayBackedDataSource
-
- getData(int, int, byte[][]) - Method in class org.openimaj.data.ByteArrayBackedDataSource
-
- getData(int) - Method in class org.openimaj.data.ByteArrayBackedDataSource
-
- getData(int, int, DATATYPE[]) - Method in interface org.openimaj.data.DataSource
-
Get data between given rows.
- getData(int) - Method in interface org.openimaj.data.DataSource
-
Get the data for a given row
- getData(int, int, double[][]) - Method in class org.openimaj.data.DoubleArrayBackedDataSource
-
- getData(int) - Method in class org.openimaj.data.DoubleArrayBackedDataSource
-
- getData(int, int, float[][]) - Method in class org.openimaj.data.FloatArrayBackedDataSource
-
- getData(int) - Method in class org.openimaj.data.FloatArrayBackedDataSource
-
- getData(int, int, DATATYPE[]) - Method in class org.openimaj.data.IndexedViewDataSource
-
- getData(int) - Method in class org.openimaj.data.IndexedViewDataSource
-
- getData(int, int, int[][]) - Method in class org.openimaj.data.IntArrayBackedDataSource
-
- getData(int) - Method in class org.openimaj.data.IntArrayBackedDataSource
-
- getData(int, int, long[][]) - Method in class org.openimaj.data.LongArrayBackedDataSource
-
- getData(int) - Method in class org.openimaj.data.LongArrayBackedDataSource
-
- getData(int, int, short[][]) - Method in class org.openimaj.data.ShortArrayBackedDataSource
-
- getData(int) - Method in class org.openimaj.data.ShortArrayBackedDataSource
-
- getData(InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.annotation.evaluation.datasets.Caltech101
-
Get a dataset of the Caltech 101 images and metadata.
- getData() - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Get a read-only view of the underlying data.
- getData(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Get the data array backing this matrix (in column-major format)
- getData() - Method in class org.openimaj.math.statistics.distribution.MultivariateKernelDensityEstimate
-
Get the underlying data
- getData() - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- getData() - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- getData() - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- getData() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- getData() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeriesCollection
-
- getData() - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- getData(int, int, byte[][]) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchByteDataSource
-
- getData(int) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchByteDataSource
-
- getData(int, int, int[][]) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchIntDataSource
-
- getData(int) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchIntDataSource
-
- getDataDirectory() - Static method in class org.openimaj.data.DataUtils
-
Get the openimaj data directory.
- getDataLocation(File) - Static method in class org.openimaj.data.DataUtils
-
Get the location of the given data file/directory.
- getDataLocation(String) - Static method in class org.openimaj.data.DataUtils
-
Get the location of the given data file/directory.
- getDataset() - Method in interface org.openimaj.data.dataset.cache.GroupedListCache
-
- getDataset() - Method in class org.openimaj.data.dataset.cache.InMemoryGroupedListCache
-
- getDecay() - Method in class org.openimaj.audio.generation.Synthesizer
-
Get the ADSR decay time in milliseconds
- getDecayAmount() - Method in class org.openimaj.vis.audio.AudioWaveform
-
Get the amount of decay in use
- getDecisionAnalysis() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- getDecisionAnalysis() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- getDeclarationType() - Method in class org.openimaj.rdf.owl2java.PropertyDef
-
Returns the Java declaration type for this property
- getDeclaredField(Class<?>, String) - Method in class org.kohsuke.args4j.ProxyOptionHandler
-
- getDefaultAliasFilePath() - Static method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
- getDefaultCountryLandColour() - Method in class org.openimaj.vis.world.WorldMap
-
- getDefaultCountryOutlineColour() - Method in class org.openimaj.vis.world.WorldMap
-
- getDefaultIndexDirectoryPath() - Static method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
- getDefaultMetaVariable() - Method in class org.kohsuke.args4j.FileOutputStreamOptionHandler
-
- getDefaultMetaVariable() - Method in class org.kohsuke.args4j.FImageOptionHandler
-
- getDefaultMetaVariable() - Method in class org.kohsuke.args4j.MBFImageOptionHandler
-
- getDefaultMetaVariable() - Method in class org.kohsuke.args4j.ProxyOptionHandler
-
- getDefaultRootPath() - Static method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
- getDelta() - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- getDelta() - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- getDemixingMatrix() - Method in class org.openimaj.math.matrix.algorithm.ica.IndependentComponentAnalysis
-
- getDemixingMatrix() - Method in class org.openimaj.math.matrix.algorithm.ica.SymmetricFastICA
-
- getDensestSubgraph() - Method in class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph
-
- getDependantValues() - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- getDependentVariables() - Method in class org.openimaj.experiment.ExperimentContext
-
Get the dependent variables of the experiment and their values at the
time this method is called.
- getDepth() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Get the depth of the cluster tree
- getDepth() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Get the depth of the cluster tree
- getDepth() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Get the depth of the cluster tree
- getDepth() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Get the depth of the cluster tree
- getDepth() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Get the depth of the cluster tree
- getDepth() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Get the depth of the cluster tree
- getDescription() - Method in interface orgrdfs.sioc.ns.Post
-
- getDescription() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
- getDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getDetailReport(String, String) - Method in interface org.openimaj.experiment.evaluation.AnalysisResult
-
Get a JasperPrint
detailing the result.
- getDetailReport() - Method in interface org.openimaj.experiment.evaluation.AnalysisResult
-
Get a
String
detailing the result.
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMResult
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMResult
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.classification.analysers.roc.ROCResult
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.classification.analysers.roc.ROCResult
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.NMIAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.NMIAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.PurityAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.PurityAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.RangedAnalysisResult
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.cluster.RangedAnalysisResult
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalResult
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalResult
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.PrecisionAtNResult
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.PrecisionAtNResult
-
- getDetailReport(String, String) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.TRECResult
-
- getDetailReport() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.TRECResult
-
- getDetections(FDDBRecord) - Method in interface org.openimaj.image.processing.face.detection.benchmarking.FDDBEvaluation.EvaluationDetector
-
- getDetectionScale() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- getDetector() - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- getDetector() - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- getDetector() - Method in interface org.openimaj.tools.faces.recognition.options.Aligners.AlignerDetectorProvider
-
- getDetector() - Method in interface org.openimaj.tools.faces.recognition.options.FaceDetectors.FaceDetectorProvider
-
- getDetIntScaleFactor() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- getDevice(int) - Method in class org.openimaj.video.capture.DeviceList
-
- getDevices() - Static method in class org.openimaj.audio.util.AudioUtils
-
Returns a list of devices that are available on this system.
- getDifferentials() - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Get the differentials between frames (if storeAllDiff is true).
- getDimensions() - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- getDimensions() - Method in class org.openimaj.feature.local.SpatialLocation
-
- getDimensions() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- getDimensions() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- getDimensions() - Method in class org.openimaj.image.feature.local.keypoints.KeypointLocation
-
- getDimensions() - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- getDimensions() - Method in class org.openimaj.image.pixel.Pixel
- getDimensions() - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- getDimensions() - Method in interface org.openimaj.math.geometry.point.Coordinate
-
- getDimensions() - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- getDimensions() - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- getDimensions() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- getDimensions() - Method in class org.openimaj.video.tracking.klt.Feature
-
- getDirection() - Method in class org.openimaj.image.processing.edges.StrokeWidthTransform
-
Get the direction of the SWT; true for dark on light, false for light
- getDirection(List<double[]>, List<Double>) - Static method in class org.openimaj.ml.linear.kernel.LinearVectorKernel
-
- getDirectoryFile() - Method in class org.openimaj.tools.imagecollection.processor.DirectoryImageProcessor
-
- getDisplayedImage() - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Returns the currently displaying image.
- getDisplayFPS() - Method in class org.openimaj.video.VideoDisplay
-
Returns the speed at which the display is being updated.
- getDistanceMaps() - Method in class org.openimaj.image.processing.face.feature.ltp.AbstractLtpDtFeature
-
Get the Euclidean distance maps for each slice.
- getDistances() - Method in class org.openimaj.image.analysis.algorithm.EuclideanDistanceTransform
-
- getDistances(File, List<File>, FaceSimilarityEngine<?, ?, FImage>) - Method in class org.openimaj.tools.faces.FaceSimilarityTool
-
Calculates the distance between all the faces in the first image with all
the faces in the given images.
- getDistances(List<File>, FaceSimilarityEngine<?, ?, FImage>) - Method in class org.openimaj.tools.faces.FaceSimilarityTool
-
Calculates the distance between faces in the given images.
- getDistances(List<File>, boolean, FaceSimilarityEngine<?, ?, FImage>) - Method in class org.openimaj.tools.faces.FaceSimilarityTool
-
Calculates the distance between faces in the given images.
- getDistances(List<String>, List<FImage>, boolean, FaceSimilarityEngine<?, ?, FImage>) - Method in class org.openimaj.tools.faces.FaceSimilarityTool
-
Calculates the distance between faces in the given images.
- getDistances(List<T>, boolean, FaceSimilarityTool.ImageGetter<T>, FaceSimilarityEngine<?, ?, FImage>) - Method in class org.openimaj.tools.faces.FaceSimilarityTool
-
This is the actual comparison function that performs the nested loops as
necessary to match all the faces against each other.
- getDocument() - Method in class org.openimaj.image.renderer.SVGRenderer
-
- getDocuments() - Method in class org.openimaj.pgm.util.Corpus
-
- getDocuments() - Method in class org.openimaj.tools.web.ReaderOptions
-
- getDoGOctave() - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
Get the difference-of-Gaussian octave corresponding to
the current Gaussian octave.
- getDoGOctave() - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
Get the difference-of-Gaussian octave corresponding to
the current Gaussian octave.
- getDoublePixelVector() - Method in class org.openimaj.image.FImage
-
Returns the pixels of the image as a vector (array) of doubles.
- getDoublePixelVector() - Method in class org.openimaj.image.MBFImage
-
Returns the pixels of the image as a vector (array) of doubles.
- getDrawableSurface() - Method in class org.openimaj.vis.general.JOGLWindow
-
Get the drawable surface for 3D operations.
- getDroppedFrameCount() - Method in class org.openimaj.video.VideoDisplay
-
Returns the number of frames that have been dropped while playing the
video.
- getDuplicatePoints(List<? extends Point2d>) - Static method in class org.openimaj.demos.DTConsistency
-
- getDuration() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Returns the duration of the video in seconds.
- getEdgeImage() - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
- getEdges() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- getEdgeThreshold() - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- getEffectiveSoundPressure() - Method in class org.openimaj.audio.analysis.EffectiveSoundPressure
-
- getEigenValue(int) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Get the eigen value corresponding to the ith principal component.
- getEigenValue(int) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Get the eigen value corresponding to the ith principal component.
- getEigenvalueRatio() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the threshold on the ratio of the Eigenvalues of the Hessian matrix
(Lowe IJCV, p.12)
- getEigenValues() - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
- getEigenValues() - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
- getEigenVectors() - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Get the basis eigenvectors.
- getEigenVectors() - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Get the principal components.
- getElement() - Method in class org.openimaj.web.layout.ElementInfo
-
- getElementId() - Method in class org.openimaj.web.layout.ElementInfo
-
- getEllipse() - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
Create an ellipse based on the features parameters
- getEllipse(float) - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
Create an ellipse based on the features parameters.
- getEllipse() - Method in class org.openimaj.image.feature.local.interest.EllipticInterestPointData
-
- getEllipse() - Method in class org.openimaj.image.feature.local.interest.InterestPointData
-
- getEllipseBoundingBox(float) - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
Create a rotated rectangle that fits around an ellipse
based on the features parameters.
- getEllipseBoundingRectsData(double) - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
- getEmail() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getEmail() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getEmail_sha1() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getEmail_sha1() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getEmbeds_knowledge() - Method in interface orgrdfs.sioc.ns.Item
-
- getEmbeds_knowledge() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getEmbeds_knowledge() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getEncoding() - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- getEnd() - Method in class org.openimaj.text.nlp.textpipe.annotations.NamedEntityAnnotation
-
Get the end char the matching substring for this Named Entity.
- getEndIndex() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
- getEndPoint() - Method in class org.openimaj.math.geometry.line.Line2d
-
Get the end point
- getEndTimecode() - Method in class org.openimaj.video.processing.shotdetector.FadeShotBoundary
-
Get the timecode at the end of the fade.
- getEndTimeMilliseconds() - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation
-
Returns the end time of the timeline object in the timeline.
- getEndTimeMilliseconds() - Method in interface org.openimaj.vis.timeline.TimelineObject
-
Returns the end time of the timeline object in the timeline.
- getEndTimeMilliseconds() - Method in class org.openimaj.vis.timeline.TimelineObjectAdapter
-
Returns the end time of the timeline object in the timeline.
- getEndTimeMilliseconds() - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Returns the end time of the timeline object in the timeline.
- getEnvelopePhase() - Method in class org.openimaj.audio.generation.Synthesizer
-
Returns the phase of the ADSR envelope
- getEps() - Method in class org.openimaj.ml.clustering.dbscan.DoubleNNDBSCAN
-
- getEps() - Method in class org.openimaj.ml.clustering.dbscan.SparseMatrixDBSCAN
-
- getErrors() - Method in class org.openimaj.ml.linear.learner.perceptron.KernelPerceptron
-
- getEvaluators() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- getEvents() - Method in class org.openimaj.time.Sequencer
-
Returns the set of events in this sequencer.
- getExifPath() - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIFOptions
-
- getExpected() - Method in class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
-
Get the expected classes for each instance
- getExperimentName() - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- getExperimentName() - Method in class org.openimaj.ml.linear.experiments.sinabill.StreamAustrianDampeningExperiments
-
- getExperimentSetName() - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- getExpertData() - Method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
Returns the results from the expert turkers.
- getExtension() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getExtractor() - Method in enum org.openimaj.hadoop.tools.sequencefile.ListModeOptions
-
- getExtractor() - Method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
- getExtractUsageInfo() - Method in class org.openimaj.storm.tool.StormToolOptions
-
- getExtraInputs(double[], double) - Method in class org.openimaj.audio.features.JAudioFeatureExtractor
-
Returns the extra inputs required by a specific feature extractor
- getExtraInputs(double[], double) - Method in class org.openimaj.audio.features.MagnitudeSpectrum
-
Returns the extra inputs required by a specific feature extractor
- getExtraInputs(double[], double) - Method in class org.openimaj.audio.features.MFCC
-
Returns the extra inputs required by a specific feature extractor
- getExtraInputs(double[], double) - Method in class org.openimaj.audio.features.SpectralFlux
-
Returns the extra inputs required by a specific feature extractor
- getExtraScaleSteps() - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Get the number of extra scale steps taken beyond scales.
- getF() - Method in class org.openimaj.math.geometry.transforms.FundamentalModel
-
Get the fundamental matrix
- getFacePatch() - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
Returns the sub-image representing the face.
- getFarm() - Method in class org.openimaj.web.flickr.FlickrImage
-
- getFast(int) - Method in class org.openimaj.util.array.ByteArrayView
-
Get the ith element of this array view omitting any
bounds checks.
- getFast(int) - Method in class org.openimaj.util.array.DoubleArrayView
-
Get the ith element of this array view omitting any
bounds checks.
- getFast(int) - Method in class org.openimaj.util.array.FloatArrayView
-
Get the ith element of this array view omitting any
bounds checks.
- getFast(int) - Method in class org.openimaj.util.array.IntArrayView
-
Get the ith element of this array view omitting any
bounds checks.
- getFast(int) - Method in class org.openimaj.util.array.LongArrayView
-
Get the ith element of this array view omitting any
bounds checks.
- getFast(int) - Method in class org.openimaj.util.array.ShortArrayView
-
Get the ith element of this array view omitting any
bounds checks.
- getFeature(int) - Method in class org.openimaj.image.analysis.watershed.Component
-
Get the feature at the given index
- getFeature(Class<T>) - Method in class org.openimaj.image.analysis.watershed.Component
-
Get the feature matching the given class if it exists.
- getFeature(int) - Method in class org.openimaj.image.objectdetection.haar.training.BasicTrainingData
-
- getFeature(int) - Method in class org.openimaj.image.objectdetection.haar.training.CachedTrainingData
-
- getFeatureClass() - Method in interface org.openimaj.feature.local.LocalFeatureExtractor
-
- getFeatureList() - Method in class org.openimaj.video.processing.tracking.BasicMBFImageObjectTracker
-
Returns the list of features that the tracker has been tracking.
- getFeatureList() - Method in class org.openimaj.video.processing.tracking.BasicObjectTracker
-
Returns the list of features that the tracker has been tracking.
- getFeatureList() - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
- getFeatureMap() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale.PyramidTextExtractor
-
Get the feature map for the image.
- getFeatureResponse(int) - Method in class org.openimaj.image.objectdetection.haar.training.BasicTrainingData
-
- getFeatureResponse(int) - Method in class org.openimaj.image.objectdetection.haar.training.CachedTrainingData
-
- getFeatureResponse(int) - Method in interface org.openimaj.ml.classification.LabelledDataProvider
-
Get the response for all items for a specific dimension of each feature
vector
- getFeatures(int) - Method in class org.openimaj.hadoop.tools.fastkmeans.SequenceFileByteImageFeatureSelector
-
- getFeatures() - Method in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
Get the list of all the detected features
- getFeatures() - Method in class org.openimaj.image.feature.local.detector.dog.collector.AbstractOctaveLocalFeatureCollector
-
Get the list of features collected.
- getFeatures() - Method in interface org.openimaj.image.feature.local.detector.dog.collector.Collector
-
Get the list of features collected.
- getFeatures() - Method in class org.openimaj.image.feature.local.detector.ipd.collector.InterestPointFeatureCollector
-
- getFeatureVector() - Method in interface org.openimaj.feature.FeatureVectorProvider
-
Get the FeatureVector associated with this object.
- getFeatureVector() - Method in class org.openimaj.feature.local.FloatLocalFeatureAdaptor
-
- getFeatureVector() - Method in class org.openimaj.feature.local.LocalFeatureImpl
-
- getFeatureVector() - Method in class org.openimaj.feature.local.quantised.QuantisedLocalFeature
-
- getFeatureVector() - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
Get the FeatureVector associated with this object.
- getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
- getFeatureVector(BasicShapeDescriptor) - Method in enum org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor.BasicShapeDescriptorType
-
Create a @link{FeatureVector} representation of the specified
description
- getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
- getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
-
- getFeatureVector(ColourDescriptor) - Method in enum org.openimaj.image.connectedcomponent.proc.ColourDescriptor.ColourDescriptorType
-
Extract the feature for the given descriptor.
- getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
- getFeatureVector() - Method in class org.openimaj.image.connectedcomponent.proc.HuMoments
-
- getFeatureVector() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
-
- getFeatureVector() - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
-
- getFeatureVector(Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.HOG
-
Compute the HOG feature for the given window.
- getFeatureVector(Rectangle) - Method in class org.openimaj.image.feature.dense.gradient.PHOG
-
- getFeatureVector() - Method in class org.openimaj.image.feature.dense.gradient.PHOG
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.AvgBrightness
-
- getFeatureVector() - Method in enum org.openimaj.image.feature.global.Colorfulness.ColorfulnessAttr
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.Colorfulness
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.ColourContrast
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.HorizontalIntensityDistribution
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.HueStats
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.LRIntensityBalance
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.LuoSimplicity
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.Naturalness
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.RGBRMSContrast
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.RMSContrast
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.ROIProportion
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.RuleOfThirds
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.Saturation
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.SaturationVariation
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.Sharpness
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.SharpnessVariation
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.SharpPixelProportion
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.WeberContrast
-
- getFeatureVector() - Method in class org.openimaj.image.feature.global.YehBokehEstimator
-
- getFeatureVector() - Method in interface org.openimaj.image.feature.local.descriptor.gradient.GradientFeatureProvider
-
- getFeatureVector() - Method in class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
- getFeatureVector() - Method in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- getFeatureVector() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- getFeatureVector() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- getFeatureVector() - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
- getFeatureVector() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
-
- getFeatureVector() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
-
- getFeatureVector(List<? extends DetectedFace>, T) - Method in enum org.openimaj.image.processing.face.detection.FaceDetectorFeatures
-
Compute a feature vector describing the detections.
- getFeatureVector() - Method in class org.openimaj.image.processing.face.feature.CLMPoseFeature
-
- getFeatureVector() - Method in class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature
-
- getFeatureVector() - Method in class org.openimaj.image.processing.face.feature.CLMShapeFeature
-
- getFeatureVector() - Method in class org.openimaj.image.processing.face.feature.EigenFaceFeature
-
- getFeatureVector() - Method in class org.openimaj.image.processing.face.feature.FaceImageFeature
-
- getFeatureVector() - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
- getFeatureVector() - Method in class org.openimaj.image.processing.face.feature.FisherFaceFeature
-
- getFeatureVector() - Method in class org.openimaj.image.processing.face.feature.LocalLBPHistogram
-
- getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
Get all the values of the descriptor as an array.
- getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
Get all the values of the descriptor as an array in the order area,
centroid_x, centroid_y, direction, elongatedness, compactness
convex_hull_fit, corner_count
- getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
-
Get the feature vector as a double array
- getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
- getFeatureVectorArray() - Method in class org.openimaj.image.connectedcomponent.proc.HuMoments
-
Get all the values of the descriptor as an array.
- getField(Image.Field) - Method in class org.openimaj.image.FImage
-
Get the given field of this image.
- getField(Image.Field) - Method in class org.openimaj.image.Image
-
Get the given field of this image.
- getField(Image.Field) - Method in class org.openimaj.image.MultiBandImage
-
Get the given field of this image.
- getField(Image.Field) - Method in class org.openimaj.image.SVGImage
-
- getFieldCopy(Image.Field) - Method in class org.openimaj.image.FImage
-
Get the given field of this image, maintaining the image's aspect ratio
by doubling the fields.
- getFieldCopy(Image.Field) - Method in class org.openimaj.image.Image
-
Get the given field of this image, maintaining the image's aspect ratio
by doubling the fields.
- getFieldCopy(Image.Field) - Method in class org.openimaj.image.MultiBandImage
-
Get the given field of this image, maintaining the image's aspect ratio
by doubling the fields.
- getFieldCopy(Image.Field) - Method in class org.openimaj.image.SVGImage
-
- getFieldInterpolate(Image.Field) - Method in class org.openimaj.image.FImage
-
Get the given field of this image, maintaining the image's aspect ratio
by interpolating between the fields.
- getFieldInterpolate(Image.Field) - Method in class org.openimaj.image.Image
-
Get the given field of this image, maintaining the image's aspect ratio
by interpolating between the fields.
- getFieldInterpolate(Image.Field) - Method in class org.openimaj.image.MultiBandImage
-
Get the given field of this image, maintaining the image's aspect ratio
by interpolating between the fields.
- getFieldInterpolate(Image.Field) - Method in class org.openimaj.image.SVGImage
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Item._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.abort_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.abort_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.confirm_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.confirm_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.get_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.get_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.get_version_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.get_version_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.peek_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.peek_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.put_args._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.Kestrel.put_result._Fields
-
- getFieldName() - Method in enum net.lag.kestrel.thrift.QueueInfo._Fields
-
- getFields() - Method in class org.openimaj.storm.StormPlayground.RandomFieldSpout
-
- getFieldValue(Item._Fields) - Method in class net.lag.kestrel.thrift.Item
-
- getFieldValue(Kestrel.abort_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- getFieldValue(Kestrel.abort_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- getFieldValue(Kestrel.confirm_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- getFieldValue(Kestrel.confirm_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- getFieldValue(Kestrel.delete_queue_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- getFieldValue(Kestrel.delete_queue_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- getFieldValue(Kestrel.flush_all_queues_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- getFieldValue(Kestrel.flush_all_queues_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- getFieldValue(Kestrel.flush_queue_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- getFieldValue(Kestrel.flush_queue_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- getFieldValue(Kestrel.get_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- getFieldValue(Kestrel.get_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- getFieldValue(Kestrel.get_version_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- getFieldValue(Kestrel.get_version_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- getFieldValue(Kestrel.peek_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- getFieldValue(Kestrel.peek_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- getFieldValue(Kestrel.put_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- getFieldValue(Kestrel.put_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- getFieldValue(QueueInfo._Fields) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- getFileObject(String) - Method in class org.openimaj.data.dataset.VFSGroupDataset
-
Get the underlying file descriptor for a particular group in the dataset.
- getFileObject(int) - Method in class org.openimaj.data.dataset.VFSListDataset
-
Get the underlying file descriptor for a particular instance in the
dataset.
- getFileObjects() - Method in class org.openimaj.data.dataset.VFSListDataset
-
Get the underlying file descriptors of the files in the dataset
- getFilePaths(String[], String) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get a list of all the sequence files (with a given name prefix) in the
set of input paths.
- getFilePaths(String[], String, String) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get a list of all the sequence files (with a given name prefix) in the
set of input paths.
- getFilePaths(String, String) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get a list of all the sequence files (with a given name prefix) in a
directory.
- getFiles(String, String) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get a list of all the sequence files (with a given name prefix) in a
directory.
- getFilesList(String, int, int) - Static method in class org.openimaj.video.FileBackedVideo
-
Get a list of numbered files using the given format string and indices.
- getFilesRegex(String, String) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get a list of all the sequence files whose names match the given regular
expression in a directory.
- getFileSystem(URI) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get the filesystem associated with a uri.
- getFileSystem(URI, Configuration) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get the filesystem associated with a uri.
- getFileSystem(URI) - Static method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getFileSystem(URI) - Static method in class org.openimaj.hadoop.tools.exif.HadoopEXIFOptions
-
- getFileSystem(URI) - Static method in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- getFileSystem(URI) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
- getFileSystem(Path) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
Get the FileSystem
corresponding to a Path
.
- getFileSystem(URI) - Static method in class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexerOptions
-
- getFileSystem(URI) - Static method in class org.openimaj.tools.imagecollection.processor.SequenceFileProcessor
-
- getFileType() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getFilterAmplitude() - Method in class org.openimaj.audio.filters.TriangularFilter
-
Returns the filter amplitude
- getFilters() - Method in class org.openimaj.audio.filters.MelFilterBank
-
Returns a list of filters in this filter bank
- getFilters() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
- getFImage() - Method in interface org.openimaj.image.processing.face.detection.benchmarking.FDDBRecord
-
- getFinderMode() - Method in class org.openimaj.image.feature.local.engine.ipd.AbstractIPDSIFTEngine
-
- getFirst() - Method in class org.openimaj.util.pair.ByteBytePair
-
Get the value of the first element
- getFirst(Iterable<ByteBytePair>) - Static method in class org.openimaj.util.pair.ByteBytePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ByteDoublePair
-
Get the value of the first element
- getFirst(Iterable<ByteDoublePair>) - Static method in class org.openimaj.util.pair.ByteDoublePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ByteFloatPair
-
Get the value of the first element
- getFirst(Iterable<ByteFloatPair>) - Static method in class org.openimaj.util.pair.ByteFloatPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ByteIntPair
-
Get the value of the first element
- getFirst(Iterable<ByteIntPair>) - Static method in class org.openimaj.util.pair.ByteIntPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ByteLongPair
-
Get the value of the first element
- getFirst(Iterable<ByteLongPair>) - Static method in class org.openimaj.util.pair.ByteLongPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ByteObjectPair
-
Get the value of the first element
- getFirst(Iterable<ByteObjectPair<Q>>) - Static method in class org.openimaj.util.pair.ByteObjectPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ByteShortPair
-
Get the value of the first element
- getFirst(Iterable<ByteShortPair>) - Static method in class org.openimaj.util.pair.ByteShortPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.DoubleBytePair
-
Get the value of the first element
- getFirst(Iterable<DoubleBytePair>) - Static method in class org.openimaj.util.pair.DoubleBytePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.DoubleDoublePair
-
Get the value of the first element
- getFirst(Iterable<DoubleDoublePair>) - Static method in class org.openimaj.util.pair.DoubleDoublePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.DoubleFloatPair
-
Get the value of the first element
- getFirst(Iterable<DoubleFloatPair>) - Static method in class org.openimaj.util.pair.DoubleFloatPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.DoubleIntPair
-
Get the value of the first element
- getFirst(Iterable<DoubleIntPair>) - Static method in class org.openimaj.util.pair.DoubleIntPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.DoubleLongPair
-
Get the value of the first element
- getFirst(Iterable<DoubleLongPair>) - Static method in class org.openimaj.util.pair.DoubleLongPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.DoubleObjectPair
-
Get the value of the first element
- getFirst(Iterable<DoubleObjectPair<Q>>) - Static method in class org.openimaj.util.pair.DoubleObjectPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.DoubleShortPair
-
Get the value of the first element
- getFirst(Iterable<DoubleShortPair>) - Static method in class org.openimaj.util.pair.DoubleShortPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.FloatBytePair
-
Get the value of the first element
- getFirst(Iterable<FloatBytePair>) - Static method in class org.openimaj.util.pair.FloatBytePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.FloatDoublePair
-
Get the value of the first element
- getFirst(Iterable<FloatDoublePair>) - Static method in class org.openimaj.util.pair.FloatDoublePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.FloatFloatPair
-
Get the value of the first element
- getFirst(Iterable<FloatFloatPair>) - Static method in class org.openimaj.util.pair.FloatFloatPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.FloatIntPair
-
Get the value of the first element
- getFirst(Iterable<FloatIntPair>) - Static method in class org.openimaj.util.pair.FloatIntPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.FloatLongPair
-
Get the value of the first element
- getFirst(Iterable<FloatLongPair>) - Static method in class org.openimaj.util.pair.FloatLongPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.FloatObjectPair
-
Get the value of the first element
- getFirst(Iterable<FloatObjectPair<Q>>) - Static method in class org.openimaj.util.pair.FloatObjectPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.FloatShortPair
-
Get the value of the first element
- getFirst(Iterable<FloatShortPair>) - Static method in class org.openimaj.util.pair.FloatShortPair
-
Extract the first values from a list of pairs.
- getFirst(Iterable<? extends IndependentPair<T, Q>>) - Static method in class org.openimaj.util.pair.IndependentPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.IntBytePair
-
Get the value of the first element
- getFirst(Iterable<IntBytePair>) - Static method in class org.openimaj.util.pair.IntBytePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.IntDoublePair
-
Get the value of the first element
- getFirst(Iterable<IntDoublePair>) - Static method in class org.openimaj.util.pair.IntDoublePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.IntFloatPair
-
Get the value of the first element
- getFirst(Iterable<IntFloatPair>) - Static method in class org.openimaj.util.pair.IntFloatPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.IntIntPair
-
Get the value of the first element
- getFirst(Iterable<IntIntPair>) - Static method in class org.openimaj.util.pair.IntIntPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.IntLongPair
-
Get the value of the first element
- getFirst(Iterable<IntLongPair>) - Static method in class org.openimaj.util.pair.IntLongPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.IntObjectPair
-
Get the value of the first element
- getFirst(Iterable<IntObjectPair<Q>>) - Static method in class org.openimaj.util.pair.IntObjectPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.IntShortPair
-
Get the value of the first element
- getFirst(Iterable<IntShortPair>) - Static method in class org.openimaj.util.pair.IntShortPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.LongBytePair
-
Get the value of the first element
- getFirst(Iterable<LongBytePair>) - Static method in class org.openimaj.util.pair.LongBytePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.LongDoublePair
-
Get the value of the first element
- getFirst(Iterable<LongDoublePair>) - Static method in class org.openimaj.util.pair.LongDoublePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.LongFloatPair
-
Get the value of the first element
- getFirst(Iterable<LongFloatPair>) - Static method in class org.openimaj.util.pair.LongFloatPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.LongIntPair
-
Get the value of the first element
- getFirst(Iterable<LongIntPair>) - Static method in class org.openimaj.util.pair.LongIntPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.LongLongPair
-
Get the value of the first element
- getFirst(Iterable<LongLongPair>) - Static method in class org.openimaj.util.pair.LongLongPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.LongObjectPair
-
Get the value of the first element
- getFirst(Iterable<LongObjectPair<Q>>) - Static method in class org.openimaj.util.pair.LongObjectPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.LongShortPair
-
Get the value of the first element
- getFirst(Iterable<LongShortPair>) - Static method in class org.openimaj.util.pair.LongShortPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ObjectBytePair
-
Get the value of the first element
- getFirst(Iterable<ObjectBytePair<Q>>) - Static method in class org.openimaj.util.pair.ObjectBytePair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ObjectDoublePair
-
Get the value of the first element
- getFirst(Iterable<ObjectDoublePair<Q>>) - Static method in class org.openimaj.util.pair.ObjectDoublePair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ObjectFloatPair
-
Get the value of the first element
- getFirst(Iterable<ObjectFloatPair<Q>>) - Static method in class org.openimaj.util.pair.ObjectFloatPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ObjectIntPair
-
Get the value of the first element
- getFirst(Iterable<ObjectIntPair<Q>>) - Static method in class org.openimaj.util.pair.ObjectIntPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ObjectLongPair
-
Get the value of the first element
- getFirst(Iterable<ObjectLongPair<Q>>) - Static method in class org.openimaj.util.pair.ObjectLongPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ObjectShortPair
-
Get the value of the first element
- getFirst(Iterable<ObjectShortPair<Q>>) - Static method in class org.openimaj.util.pair.ObjectShortPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ShortBytePair
-
Get the value of the first element
- getFirst(Iterable<ShortBytePair>) - Static method in class org.openimaj.util.pair.ShortBytePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ShortDoublePair
-
Get the value of the first element
- getFirst(Iterable<ShortDoublePair>) - Static method in class org.openimaj.util.pair.ShortDoublePair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ShortFloatPair
-
Get the value of the first element
- getFirst(Iterable<ShortFloatPair>) - Static method in class org.openimaj.util.pair.ShortFloatPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ShortIntPair
-
Get the value of the first element
- getFirst(Iterable<ShortIntPair>) - Static method in class org.openimaj.util.pair.ShortIntPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ShortLongPair
-
Get the value of the first element
- getFirst(Iterable<ShortLongPair>) - Static method in class org.openimaj.util.pair.ShortLongPair
-
Extract the first values from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ShortObjectPair
-
Get the value of the first element
- getFirst(Iterable<ShortObjectPair<Q>>) - Static method in class org.openimaj.util.pair.ShortObjectPair
-
Extract the first objects from a list of pairs.
- getFirst() - Method in class org.openimaj.util.pair.ShortShortPair
-
Get the value of the first element
- getFirst(Iterable<ShortShortPair>) - Static method in class org.openimaj.util.pair.ShortShortPair
-
Extract the first values from a list of pairs.
- getFirst_name() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getFirst_name() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getFirstFunction() - Static method in class org.openimaj.util.pair.IndependentPair
-
Get the function that returns the first object from the pair
- getFirstObject() - Method in class org.openimaj.util.pair.IndependentPair
-
- getFixedPoints() - Static method in class org.lemurproject.ireval.RetrievalEvaluator
-
- getFixedPoints() - Static method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- getFloatKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
- getFloatKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
- getFloatKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getFloatKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getFloatKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getFloatKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getFloatKeypoints() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getFloatKeypoints(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getFloatKeypointsGrouped() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getFloatKeypointsGrouped(float) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getFloatPixelVector() - Method in class org.openimaj.image.FImage
-
Returns the pixels of the image as a vector (array) of floats.
- getFlooded() - Method in class org.openimaj.image.analysis.algorithm.FloodFill
-
Get the binary flooded image map
- getFn() - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- getFocalLengthX() - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Get the focal length in the x direction (in pixels)
- getFocalLengthY() - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Get the focal length in the y direction (in pixels)
- getFollows() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getFollows() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getFont() - Method in class org.openimaj.image.typography.FontStyle
-
- getFontPointSize() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the size of the font that is being drawn
- getFontSize() - Method in class org.openimaj.image.typography.FontStyle
-
- getFontsToAvoid() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the list of fonts to avoid.
- getForceRetry() - Method in class org.openimaj.image.processing.face.tracking.KLTHaarFaceTracker
-
- getFormat() - Method in class org.openimaj.audio.Audio
-
Get the audio format of this audio object.
- getFormat() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns the audio format for this set of samples.
- getFormat() - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Returns the audio format for this set of samples.
- getFormat() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Returns the audio format for this set of samples.
- getFormat() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Returns the audio format for this set of samples.
- getFPS() - Method in class org.openimaj.hardware.kinect.KinectStream
-
Get the frame rate
- getFPS() - Method in class org.openimaj.video.AnimatedVideo
-
- getFPS() - Method in class org.openimaj.video.ArrayBackedVideo
-
Get the frame rate
- getFPS() - Method in class org.openimaj.video.capture.VideoCapture
-
Get the frame rate
- getFPS() - Method in class org.openimaj.video.FileBackedVideo
-
Get the frame rate
- getFPS() - Method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- getFPS() - Method in class org.openimaj.video.processor.VideoProcessor
-
Get the frame rate
- getFPS() - Method in class org.openimaj.video.translator.VideoTranslator
-
- getFPS() - Method in class org.openimaj.video.Video
-
Get the frame rate
- getFPS() - Method in class org.openimaj.video.VideoWriter
-
Get the frame rate
- getFPS() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Get the frame rate
- getFPS() - Method in class org.openimaj.web.video.VGetVideo
-
- getFrame(int) - Method in class org.openimaj.video.VideoCache
-
Returns the frame at the given index.
- getFrameNumber() - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode
-
Returns the frame number of the frame represented by the
video timecode.
- getFrameNumber() - Method in class org.openimaj.video.timecode.VideoTimecode
-
Returns the frame number of the frame represented by the
video timecode.
- getFrames() - Method in class org.openimaj.video.timecode.HrsMinSecFrameTimecode
-
Get the number of frames within the second.
- getFrequency() - Method in class org.openimaj.audio.filters.FeedForwardCombFilter
-
This returns the frequency that this comb filter is set to detect.
- getFrequencyBands() - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Get the frequency bands which are being drawn in Hz.
- getFreshness() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getFunction_of() - Method in interface orgrdfs.sioc.ns.Role
-
- getFunction_of() - Method in class orgrdfs.sioc.ns.RoleImpl
-
- getFunctions(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>, FundamentalRefinement.Parameterisation) - Method in enum org.openimaj.math.geometry.transforms.FundamentalRefinement
-
- getGalleryImages() - Method in class org.openimaj.web.scraping.images.ImgurClient
-
Calls http://imgur.com/gallery.json
- getGaussians() - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Get the gaussians that make up the mixture
- getGaussianSigma() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the width of the Gaussian used for weighting samples, relative to the
half-width of the sampling window (default 1.0).
- getGeneralJSONClass() - Method in class org.openimaj.twitter.USMFStatus
-
- getGeoLocation() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getGradientMagnitudesAndOrientations(FImage) - Static method in class org.openimaj.image.processing.convolution.FImageGradients
-
- getGradientMagnitudesAndOrientations(FImage, FImageGradients.Mode) - Static method in class org.openimaj.image.processing.convolution.FImageGradients
-
- getGradientX() - Method in class org.openimaj.image.processing.convolution.CLSobel
-
- getGradientY() - Method in class org.openimaj.image.processing.convolution.CLSobel
-
- getGraphics2D() - Method in class org.openimaj.image.renderer.SVGRenderer
-
- getGridRef(FImage) - Method in class org.openimaj.workinprogress.Snap
-
Estimate a grid reference from an image using the MapSnapper algorithm.
- getGroundTruth() - Method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
Returns the ground truth set.
- getGroundTruth() - Method in interface org.openimaj.image.processing.face.detection.benchmarking.FDDBRecord
-
- getGroupDirectories() - Method in class org.openimaj.data.dataset.VFSGroupDataset
-
Get the underlying file descriptors of the directories that form the
groups of the dataset
- getGroupedDatasetSubset(GroupedDataset<ANN, DATASET, INSTANCE>, ANN...) - Static method in class org.openimaj.experiment.dataset.util.DatasetAdaptors
-
Takes a grouped dataset and returns a new dataset that contains only
those groups specified.
- getGroupingFilter() - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- getGroups() - Method in interface org.openimaj.data.dataset.GroupedDataset
-
Get the set of all defined group keys.
- getGroups() - Method in class org.openimaj.data.dataset.MapBackedDataset
-
- getGroups() - Method in class org.openimaj.data.dataset.ReadableGroupDataset
-
- getHandler(String, String, int) - Method in class org.openimaj.video.xuggle.JarURLProtocolHandlerFactory
-
- getHarmonicity() - Method in class org.openimaj.audio.filters.FeedForwardCombFilter
-
Returns the harmonicity power.
- getHas_administrator() - Method in interface orgrdfs.sioc.ns.Site
-
- getHas_administrator() - Method in class orgrdfs.sioc.ns.SiteImpl
-
- getHas_container() - Method in interface orgrdfs.sioc.ns.Item
-
- getHas_container() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getHas_container() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getHas_discussion() - Method in interface orgrdfs.sioc.ns.Item
-
- getHas_discussion() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getHas_discussion() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getHas_host() - Method in interface orgrdfs.sioc.ns.Forum
-
- getHas_host() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getHas_member() - Method in interface orgrdfs.sioc.ns.Usergroup
-
- getHas_member() - Method in class orgrdfs.sioc.ns.UsergroupImpl
-
- getHas_moderator() - Method in interface orgrdfs.sioc.ns.Forum
-
- getHas_moderator() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getHas_modifier() - Method in interface orgrdfs.sioc.ns.Item
-
- getHas_modifier() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getHas_modifier() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getHas_parent() - Method in interface orgrdfs.sioc.ns.Container
-
- getHas_parent() - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- getHas_parent() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getHas_reply() - Method in interface orgrdfs.sioc.ns.Item
-
- getHas_reply() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getHas_reply() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getHas_scope() - Method in interface orgrdfs.sioc.ns.Role
-
- getHas_scope() - Method in class orgrdfs.sioc.ns.RoleImpl
-
- getHas_subscriber() - Method in interface orgrdfs.sioc.ns.Container
-
- getHas_subscriber() - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- getHas_subscriber() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getHas_usergroup() - Method in class orgrdfs.sioc.ns.SiteImpl
-
- getHas_usergroup() - Method in interface orgrdfs.sioc.ns.Space
-
- getHas_usergroup() - Method in class orgrdfs.sioc.ns.SpaceImpl
-
- getHashtagEntities() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getHeight() - Method in class org.openimaj.hardware.kinect.KinectStream
-
- getHeight() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getHeight() - Method in class org.openimaj.image.Image
-
Returns the image height in pixels.
- getHeight() - Method in class org.openimaj.image.MultiBandImage
-
Returns the image height in pixels.
- getHeight() - Method in class org.openimaj.image.objectdetection.haar.StageTreeClassifier
-
Get the classifier height
- getHeight() - Method in class org.openimaj.image.SingleBandImage
-
Returns the image height in pixels.
- getHeight() - Method in class org.openimaj.image.SVGImage
-
- getHeight() - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
- getHeight() - Method in class org.openimaj.math.geometry.line.Line2d
-
- getHeight() - Method in class org.openimaj.math.geometry.point.PointList
-
- getHeight() - Method in class org.openimaj.math.geometry.shape.Circle
-
- getHeight() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- getHeight() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- getHeight() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- getHeight() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- getHeight() - Method in class org.openimaj.video.AnimatedVideo
-
- getHeight() - Method in class org.openimaj.video.ArrayBackedVideo
-
Get the height of the video frame.
- getHeight() - Method in class org.openimaj.video.capture.VideoCapture
-
Get the height of the video frame.
- getHeight() - Method in class org.openimaj.video.FileBackedVideo
-
Get the height of the video frame.
- getHeight() - Method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- getHeight() - Method in class org.openimaj.video.processor.VideoProcessor
-
Get the height of the video frame.
- getHeight() - Method in class org.openimaj.video.translator.VideoTranslator
-
- getHeight() - Method in class org.openimaj.video.Video
-
Get the height of the video frame.
- getHeight() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Get the height of the video frame.
- getHeight() - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get the height of the browser.
- getHeight() - Method in class org.openimaj.web.video.VGetVideo
-
- getHeightScale() - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- getHighestConfidenceClass(ClassificationResult<CLASS>) - Static method in class org.openimaj.experiment.evaluation.classification.ClassificationResultUtils
-
Get the class with the highest confidence
- getHighFrequency() - Method in class org.openimaj.audio.filters.TriangularFilter
-
Gets the high frequency
- getHighlightCountryLandColour() - Method in class org.openimaj.vis.world.WorldMap
-
- getHistogram() - Method in class ch.akuhn.matrix.Matrix
-
- getHistogram(double[][], int) - Static method in class ch.akuhn.matrix.Util
-
Get the histogram
- getHistogram() - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
Returns the edge direction coherence histogram that was calculated.
- getHistogram() - Method in class org.openimaj.image.analysis.algorithm.histogram.HistogramAnalyser
-
Returns the histogram that was built having run the processing function.
- getHistogram(FImage, int) - Static method in class org.openimaj.image.analysis.algorithm.histogram.HistogramAnalyser
-
Quickly create a histogram from an image.
- getHistogram() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram
-
Get the histograms as a single
FloatFV
.
- getHistograms() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram
-
Get the histograms
- getHorizontalAlignment() - Method in class org.openimaj.image.typography.FontStyle
-
- getHorizontalGridElements() - Method in interface org.openimaj.image.processor.GridProcessor
-
Returns the number of columns in the grid.
- getHost_of() - Method in interface orgrdfs.sioc.ns.Site
-
- getHost_of() - Method in class orgrdfs.sioc.ns.SiteImpl
-
- getHours() - Method in class org.openimaj.video.timecode.HrsMinSecFrameTimecode
-
Get the number of hours.
- getHref() - Method in class org.openimaj.web.readability.Anchor
-
- getHTML() - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get the HTML of the currently loaded page
- getHueVariance() - Method in class org.openimaj.image.feature.global.HueStats
-
Get the variance in hue value.
- getHystThresh1() - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Get the first hysteresis threshold.
- getHystThresh2() - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Get the second hysteresis threshold.
- getID(int) - Method in class org.openimaj.data.dataset.ReadableListDataset
-
Get an identifier for the instance at the given index.
- getID() - Method in class org.openimaj.data.dataset.VFSGroupDataset
-
- getID(int) - Method in class org.openimaj.data.dataset.VFSListDataset
-
- getID() - Method in class org.openimaj.data.dataset.VFSListDataset
-
- getID() - Method in interface org.openimaj.data.identity.Identifiable
-
- getID() - Method in class org.openimaj.data.identity.IdentifiableObject
-
- getID() - Method in class org.openimaj.experiment.gmm.retrieval.UKBenchGroupDataset
-
- getID() - Method in class org.openimaj.experiment.gmm.retrieval.UKBenchListDataset
-
- getID() - Method in class org.openimaj.image.annotation.evaluation.dataset.CorelAnnotatedImage
-
- getID() - Method in class org.openimaj.image.annotation.evaluation.datasets.Caltech101.Record
-
- getID() - Method in class org.openimaj.image.dataset.BingImageDataset
-
- getID(int) - Method in class org.openimaj.image.dataset.FlickrImageDataset
-
- getID() - Method in class org.openimaj.image.searching.ImageSearchResult
-
- getId() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getId() - Method in class org.openimaj.web.flickr.FlickrImage
-
- getId() - Method in class org.openimaj.web.readability.Readability.MappingNode
-
- getIdentifier() - Method in class org.openimaj.video.capture.Device
-
- getIdentifierStr() - Method in class org.openimaj.video.capture.Device
-
- getIM() - Method in class org.openimaj.math.util.Complex
-
Return the imaginary part.
- getImage(int) - Method in class org.openimaj.image.dataset.BingImageDataset
-
- getImage() - Method in class org.openimaj.image.Image
-
- getImage() - Method in interface org.openimaj.image.ImageProvider
-
Get the image that this provider provides.
- getImage() - Method in class org.openimaj.image.Plotter
-
- getImage() - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature.DetectedFacePart
-
- getImage() - Method in class org.openimaj.image.processor.connectedcomponent.render.AbstractRenderer
-
Returns the image that is being rendered on.
- getImage() - Method in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererMono
-
Get the rendered image.
- getImage() - Method in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererRGB
-
Get the rendered image.
- getImage() - Method in class org.openimaj.image.renderer.ImageRenderer
-
Get the target image
- getImage(List<T>, int) - Method in interface org.openimaj.tools.faces.FaceSimilarityTool.ImageGetter
-
Get the image associated with the item
- getImage() - Method in class org.openimaj.video.processing.shotdetector.VideoKeyframe
-
Return the image at the shot boundary.
- getImage() - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- getImage() - Method in class org.openimaj.web.flickr.FlickrImage
-
Reads the actual flickr image.
- getImageContent() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getImageName() - Method in interface org.openimaj.image.processing.face.detection.benchmarking.FDDBRecord
-
- getImageRDF(File, ExifTool.Tag...) - Method in class com.thebuzzmedia.exiftool.RDFExifTool
-
- getImageRDF(File, String, ExifTool.Tag...) - Method in class com.thebuzzmedia.exiftool.RDFExifTool
-
- getImageRDF(File, ExifTool.Format, ExifTool.Tag...) - Method in class com.thebuzzmedia.exiftool.RDFExifTool
-
- getImageRDF(File, ExifTool.Format, String, ExifTool.Tag...) - Method in class com.thebuzzmedia.exiftool.RDFExifTool
-
- getImages(InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.annotation.evaluation.datasets.Caltech101
-
Get a dataset of the Caltech 101 images.
- getImages() - Method in class org.openimaj.image.dataset.BingImageDataset
-
- getImages() - Method in interface org.openimaj.image.model.asm.datasets.ShapeModelDataset
-
Get the image for each instance
- getImages(ImgurClient.ImgurTypeHash) - Method in class org.openimaj.web.scraping.images.ImgurClient
-
- getImageSize() - Method in class org.openimaj.image.dataset.FlickrImageDataset
-
Get the size of the images that this dataset produces.
- getImageType() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getImageVector(String) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
-
Returns an ArrayList of which each index represents one element of a edge
direction coherence vector
- getImageVector(FImage) - Method in class org.openimaj.tools.ocr.KNNCharacterClassifier
-
Get the feature vector for a single image.
- getImaginary() - Method in class org.openimaj.image.processing.algorithm.FourierTransformComplex
-
- getIndependentComponentMatrix() - Method in class org.openimaj.math.matrix.algorithm.ica.IndependentComponentAnalysis
-
- getIndependentComponentMatrix() - Method in class org.openimaj.math.matrix.algorithm.ica.SymmetricFastICA
-
- getIndependentVariables() - Method in class org.openimaj.experiment.ExperimentContext
-
Get the independent variables of the experiment and their values at the
time this method is called.
- getIndex(int, int) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_2D
-
Returns the 1d index of the specified 2d Fourier mode.
- getIndex(int, int, int) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_3D
-
Returns the 1d index of the specified 3d Fourier mode.
- getIndex(int...) - Method in class org.openimaj.feature.MultidimensionalByteFV
-
Convert the given coordinate into a flat index value
- getIndex(int...) - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
Convert the given coordinate into a flat index value
- getIndex(int...) - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
Convert the given coordinate into a flat index value
- getIndex(int...) - Method in class org.openimaj.feature.MultidimensionalIntFV
-
Convert the given coordinate into a flat index value
- getIndex(int...) - Method in class org.openimaj.feature.MultidimensionalLongFV
-
Convert the given coordinate into a flat index value
- getIndex(int...) - Method in class org.openimaj.feature.MultidimensionalShortFV
-
Convert the given coordinate into a flat index value
- getIndex(Polygon, RotatingCalipers.Corner) - Static method in class org.openimaj.math.geometry.shape.util.RotatingCalipers
-
- getIndex() - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Get the index
- getIndex(int[], int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[], int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[], int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[], int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[], int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[], int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex(int[]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Translates a path down the KDTree as a cluster index.
- getIndex() - Method in class org.openimaj.text.nlp.namedentity.QuickIndexer
-
- getIndexValue(int) - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Get a value from the index
- getIndices() - Method in class org.openimaj.image.analysis.algorithm.EuclideanDistanceTransform
-
- getInit() - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Get the current initialisation algorithm
- getInit() - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Get the current initialisation algorithm
- getInit() - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Get the current initialisation algorithm
- getInit() - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Get the current initialisation algorithm
- getInit() - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Get the current initialisation algorithm
- getInit() - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Get the current initialisation algorithm
- getInit() - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Get the current initialisation algorithm
- getInitialSigma() - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Get the assumed initial scale of the first image in each octave.
- getInitialVars() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Returns the initial variables that will be used by the tracker for each
found face.
- getInitialVars() - Method in class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Returns the initial variables used for each face tracker.
- getInlierPercentage() - Method in class org.openimaj.image.model.asm.ActiveShapeModel
-
- getInliers() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator
-
- getInliers() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustFundamentalEstimator
-
- getInliers() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustHomographyEstimator
-
- getInliers() - Method in class org.openimaj.math.model.fit.LMedS
-
- getInliers() - Method in class org.openimaj.math.model.fit.RANSAC
-
- getInliers() - Method in interface org.openimaj.math.model.fit.RobustModelFitting
-
- getInliers() - Method in class org.openimaj.math.model.fit.SimpleModelFitting
-
- getInnerBoundary(ConnectedComponent.ConnectMode) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Returns an ordered list of pixels that are on the inner boundary of the
shape.
- getInnerDetector() - Method in class org.openimaj.image.objectdetection.RotationSimulationObjectDetector
-
Get the internal detector
- getInnerHTML(Node) - Method in class org.openimaj.web.readability.Readability
-
- getInnerPoly(int) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Get the inner polygon at the given index.
- getInnerPolys() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Returns the list of inner polygons.
- getInnerText(Element, boolean) - Method in class org.openimaj.web.readability.Readability
-
Get the inner text of a node - cross browser compatibly.
- getInnerText(Element) - Method in class org.openimaj.web.readability.Readability
-
- getInnerTextSep(Node) - Method in class org.openimaj.web.readability.Readability
-
- getInput() - Method in class org.openimaj.tools.InOutToolOptions
-
- getInput() - Method in class org.openimaj.tools.localfeature.options.ExtractorOptions
-
Get the input location
- getInput() - Method in class org.openimaj.tools.similaritymatrix.SimilarityMatrixToolOptions
-
- getInputClass() - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- getInputFile() - Method in class org.openimaj.tools.InOutToolOptions
-
- getInputFileCommonRoot() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getInputFiles(List<File>, File, Pattern) - Static method in class org.openimaj.tools.cbir.VLADBuilder
-
- getInputFiles() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getInputFileString() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getInputFileString() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getInputFileString() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getInputImage(String) - Method in class org.openimaj.tools.localfeature.options.BaseExtractorOptions
-
Read the input image as bytes
- getInputImage(File) - Method in class org.openimaj.tools.localfeature.options.BaseExtractorOptions
-
Read the input image as bytes
- getInputImage() - Method in class org.openimaj.tools.localfeature.options.ExtractorOptions
-
Read the input image as bytes
- getInputParser() - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloaderOptions
-
- getInputPaths() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getInputPaths() - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloaderOptions
-
Get the input file(s) containing the URLs
- getInputPaths() - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIFOptions
-
- getInputPaths(InOutToolOptions) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
- getInputPaths(String) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
Get the input paths from a String.
- getInputPaths(String[]) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
- getInputPaths(String[], String) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
All the files starting with "part" in the paths which look like: "paths[i]/subdir
- getInputPaths() - Method in class org.openimaj.hadoop.tools.localfeature.HadoopLocalFeaturesToolOptions
-
- getInputPaths() - Method in class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexerOptions
-
- getInputPaths() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingToolOptions
-
- getInputPower() - Method in class org.openimaj.audio.filters.FeedForwardCombFilter
-
Returns the input power for the last processed frame.
- getInputs() - Method in class org.openimaj.tools.localfeature.options.BatchExtractorOptions
-
Get the input files
- getInputStream() - Method in class org.openimaj.hardware.serial.SerialDevice
-
Returns the input stream for this device.
- getInputString() - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIFOptions
-
- getInputString() - Method in class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexerOptions
-
- getInReplyToScreenName() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getInReplyToStatusId() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getInReplyToUserId() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getInstance(int) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- getInstance(int) - Method in interface org.openimaj.data.dataset.ListDataset
-
Returns the instance at the specified position in this dataset.
- getInstance(int) - Method in class org.openimaj.data.dataset.VFSListDataset
-
- getInstance(int) - Method in class org.openimaj.experiment.gmm.retrieval.UKBenchListDataset
-
- getInstance(int) - Method in class org.openimaj.image.dataset.BingImageDataset
-
- getInstance(int) - Method in class org.openimaj.image.dataset.FlickrImageDataset
-
- getInstance() - Static method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Get the default singleton instance
- getInstanceFeature(int) - Method in class org.openimaj.image.objectdetection.haar.training.BasicTrainingData
-
- getInstanceFeature(int) - Method in class org.openimaj.image.objectdetection.haar.training.CachedTrainingData
-
- getInstanceFeature(int) - Method in interface org.openimaj.ml.classification.LabelledDataProvider
-
Get the feature vector for a specific instance
- getInstances(KEY) - Method in interface org.openimaj.data.dataset.GroupedDataset
-
Get sub-dataset corresponding to the given group key
- getInstances(KEY) - Method in class org.openimaj.data.dataset.MapBackedDataset
-
- getInstances(KEY) - Method in class org.openimaj.data.dataset.ReadableGroupDataset
-
- getIntegrationScale() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- getInterestPoints(int) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- getInterestPoints() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- getInterestPoints(float) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- getInterestPoints(int) - Method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
- getInterestPoints(float) - Method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
- getInterestPoints() - Method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
- getInterestPoints(int) - Method in interface org.openimaj.image.feature.local.interest.InterestPointDetector
-
Retrieve the interest points found
- getInterestPoints(float) - Method in interface org.openimaj.image.feature.local.interest.InterestPointDetector
-
Retrieve the interest points found whose normalised score exceeds the
threshold
- getInterestPoints() - Method in interface org.openimaj.image.feature.local.interest.InterestPointDetector
-
Get all the interest points found.
- getInterestPoints(int) - Method in class org.openimaj.workinprogress.LOCKY
-
- getInterestPoints(float) - Method in class org.openimaj.workinprogress.LOCKY
-
- getInterestPoints() - Method in class org.openimaj.workinprogress.LOCKY
-
- getInterestPointsThresh(float) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- getInterframeDistance(MBFImage) - Method in class org.openimaj.video.processing.shotdetector.CombiShotDetector
-
Returns the inter-frame distance between this frame and the last.
- getInterframeDistance(MBFImage) - Method in class org.openimaj.video.processing.shotdetector.HistogramVideoShotDetector
-
Checks whether a shot boundary occurred between the given frame
and the previous frame, and if so, it will add a shot boundary
to the shot boundary list.
- getInterframeDistance(MBFImage) - Method in class org.openimaj.video.processing.shotdetector.LocalHistogramVideoShotDetector
-
Returns the inter-frame distance between this frame and the last.
- getInterframeDistance(I) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Returns the inter-frame distance between this frame and the last.
- getInterpolatedPRData() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalResult
-
- getIntersection(Line2d) - Method in class org.openimaj.math.geometry.line.Line2d
-
Calculates the intersection point of this line and another line
- getIntrisics() - Method in class org.openimaj.image.camera.calibration.CameraCalibrationZhang
-
Get the computed intrinsic parameters calculated during construction.
- getInverseCovariance() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- getInverseCovariance() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- getIp_address() - Method in interface orgrdfs.sioc.ns.Item
-
- getIp_address() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getIp_address() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getISOA2() - Method in class org.openimaj.text.geo.WorldPlace
-
- getISOA2() - Method in class org.openimaj.vis.world.WorldPlace
-
- getItalicSlant() - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- getJacobianFunction(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Method in enum org.openimaj.math.geometry.transforms.HomographyRefinement
-
- getJavaAudioFormat() - Method in class org.openimaj.audio.AudioFormat
-
Get a Java Sound API AudioFormat object using this object's
properties.
- getJavaOutputLine(String, AudioFormat) - Static method in class org.openimaj.audio.util.AudioUtils
-
Returns a Java sound line for the given device name.
- getJitteredFont(GeneralFont) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Returns a font that is somewhat randomised from the
initial font.
- getJitteredFontStyle(GeneralFontStyle<Q>) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get a jittered font style
- getJitterTransform(I) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Returns an affine transform matrix based on the jitter
specifications.
- getJsonPath() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
- getK() - Method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- getK() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Get the number of clusters per node
- getK() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Get the number of clusters per node
- getK() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Get the number of clusters per node
- getK() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Get the number of clusters per node
- getK() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Get the number of clusters per node
- getK() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Get the number of clusters per node
- getK() - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
Get the number of clusters
- getKernelHeight() - Method in class org.openimaj.image.processing.convolution.FSobelMagnitude
-
- getKernelHeight() - Method in class org.openimaj.image.processing.morphology.Dilate
-
- getKernelHeight() - Method in class org.openimaj.image.processing.morphology.Erode
-
- getKernelHeight() - Method in class org.openimaj.image.processing.morphology.HitAndMiss
-
- getKernelHeight() - Method in class org.openimaj.image.processing.threshold.AbstractLocalThreshold
-
Get the height of the local sampling rectangle
- getKernelHeight() - Method in interface org.openimaj.image.processor.KernelProcessor
-
Get the height of the kernel required by this processor.
- getKernelSize() - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Get the kernel size being used.
- getKernelWidth() - Method in class org.openimaj.image.processing.convolution.FSobelMagnitude
-
- getKernelWidth() - Method in class org.openimaj.image.processing.morphology.Dilate
-
- getKernelWidth() - Method in class org.openimaj.image.processing.morphology.Erode
-
- getKernelWidth() - Method in class org.openimaj.image.processing.morphology.HitAndMiss
-
- getKernelWidth() - Method in class org.openimaj.image.processing.threshold.AbstractLocalThreshold
-
Get the width of the local sampling rectangle
- getKernelWidth() - Method in interface org.openimaj.image.processor.KernelProcessor
-
Get the width of the kernel required by this processor.
- getKey(FileSystem, Path) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility.FilenameKeyProvider
-
- getKey(FileSystem, Path, Path) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility.FilenameKeyProvider
-
- getKey(FileSystem, Path) - Method in interface org.openimaj.hadoop.sequencefile.SequenceFileUtility.KeyProvider
-
- getKey(FileSystem, Path, Path) - Method in interface org.openimaj.hadoop.sequencefile.SequenceFileUtility.KeyProvider
-
- getKey(FileSystem, Path) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility.MD5UUIDKeyProvider
-
- getKey(FileSystem, Path, Path) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility.MD5UUIDKeyProvider
-
- getKey(FileSystem, Path) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility.RelativePathFilenameKeyProvider
-
- getKey(FileSystem, Path, Path) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility.RelativePathFilenameKeyProvider
-
- getKeyframe() - Method in class org.openimaj.video.processing.shotdetector.ShotBoundary
-
- getKeypoint(FacialKeypoint[], FacialKeypoint.FacialKeypointType) - Static method in class org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint
-
Search the given points for the a keypoint with the
specified type and return it.
- getKeypoint(FacialKeypoint.FacialKeypointType) - Method in class org.openimaj.image.processing.face.detection.keypoints.KEDetectedFace
-
Get a keypoint of the specified type.
- getKeypointInterpolated(FacialKeypoint.FacialKeypointType) - Method in class org.openimaj.image.processing.face.detection.keypoints.KEDetectedFace
-
Get a keypoint of the specified type, interpolating the position if the
internal model doesn't have a matching point.
- getKeypoints() - Method in class org.openimaj.image.processing.face.detection.keypoints.KEDetectedFace
-
- getKeypointsMap() - Method in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
get the detected interest points, grouped by simulation
- getKeys() - Method in class org.openimaj.image.processing.face.feature.DoGSIFTFeature
-
- getLabel() - Method in class org.openimaj.vis.timeline.Timeline.TimelineTrack
-
Get the name of the track
- getLabelTransformer() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getLandmarkModels() - Method in class org.openimaj.image.model.asm.ActiveShapeModel
-
- getLanguageModel() - Method in class org.openimaj.text.nlp.language.LanguageDetector
-
- getLast_item_date() - Method in interface orgrdfs.sioc.ns.Container
-
- getLast_item_date() - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- getLast_item_date() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getLast_name() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getLast_name() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getLastCalculatedFeature() - Method in class org.openimaj.audio.features.JAudioFeatureExtractor
-
- getLastCalculatedFeatureWithoutFirst() - Method in class org.openimaj.audio.features.MFCC
-
Returns the MFCCs with the first coefficient set to zero.
- getLastCepstrum() - Method in class org.openimaj.audio.analysis.PowerCepstrumTransform
-
Returns the last generated cepstrum
- getLastFFT() - Method in class org.openimaj.audio.analysis.FourierTransform
-
Get the last processed FFT frequency data.
- getLastHistogram() - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
- getLastKeyframe() - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Returns the last video keyframe that was generated.
- getLastShotBoundary() - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Return the last shot boundary in the list.
- getLatest_version() - Method in interface orgrdfs.sioc.ns.Item
-
- getLatest_version() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getLatest_version() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getLatitude() - Method in class org.openimaj.hardware.gps.GPSSerialReader
-
- getLatitude() - Method in class org.openimaj.vis.world.WorldPlace
-
- getLayoutContext() - Method in class org.openimaj.image.typography.mathml.MathMLFontStyle
-
- getLayoutInfo() - Method in class org.openimaj.web.layout.LayoutExtractor
-
Get the layout info of the page
- getLeftOverString() - Method in class org.openimaj.hardware.serial.RegExParser
-
This function must return the data that was left-over
from the previous parse, if at all.
- getLeftOverString() - Method in interface org.openimaj.hardware.serial.SerialDataParser
-
This function must return the data that was left-over
from the previous parse, if at all.
- getLength() - Method in class org.openimaj.audio.AudioLooper
-
Returns the length of the audio stream in milliseconds.
- getLength() - Method in class org.openimaj.audio.AudioMixer
-
Returns the length of the audio stream in milliseconds.
- getLength() - Method in class org.openimaj.audio.AudioStream
-
Returns the length of the audio stream in milliseconds.
- getLength() - Method in class org.openimaj.audio.generation.Synthesizer
-
Returns the length of the audio stream in milliseconds.
- getLength() - Method in class org.openimaj.audio.JavaSoundAudioGrabber
-
Returns the length of the audio stream in milliseconds.
- getLength() - Method in class org.openimaj.audio.processor.AudioProcessor
-
Returns the length of the audio stream in milliseconds.
- getLength() - Method in class org.openimaj.audio.util.MemoryAudioSource
-
For live streams, returns the length of the buffered audio,
otherwise returns the length of the original stream.
- getLength() - Method in class org.openimaj.video.xuggle.XuggleAudio
-
Returns the length of the audio stream in milliseconds.
- getLength() - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation
-
Returns the length of the audio data in milliseconds.
- getLetter(int[]) - Method in class org.openimaj.ml.clustering.rforest.RandomDecisionTree
-
The function which finds the path down this random tree for a given feature.
- getLetters() - Method in class org.openimaj.image.text.extraction.swt.LineCandidate
-
Get the letters corresponding to this line.
- getLetters() - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector
-
Get the unfiltered detected characters.
- getLetters() - Method in class org.openimaj.image.text.extraction.swt.WordCandidate
-
Get the letters within this word.
- getLevelDescriptors() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getLicense() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getLine() - Method in class org.openimaj.image.text.extraction.swt.WordCandidate
-
Get the line containing this word.
- getLineFromParams(int, int, int, int) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
From a r,theta parameterisation of a line, this returns a
Line2d
with endpoints at the given x coordinates.
- getLines() - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector
-
Get the detected candidate lines of text
- getLines() - Method in class org.openimaj.math.geometry.point.PointList
-
- getLines(PointListConnections) - Method in class org.openimaj.math.geometry.point.PointList
-
- getLines(PointList) - Method in class org.openimaj.math.geometry.point.PointListConnections
-
Get the connections as a list of lines based on the points in the given
PointList
.
- getLinkDensity(Element) - Method in class org.openimaj.web.readability.Readability
-
Get the density of links as a percentage of the content This is the
amount of text that is inside a link divided by the total text in the
node.
- getList() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
Get the underlying list backing this dataset
- getListCellRendererComponent(JList<?>, Object, int, boolean, boolean) - Method in class org.openimaj.demos.Demos.IconListRenderer
-
- getLocale() - Method in class org.openimaj.text.nlp.language.LanguageDetector.WeightedLocale
-
- getLocalFile() - Method in class org.openimaj.web.flickr.FlickrImage
-
- getLocation() - Method in class org.openimaj.feature.local.FloatLocalFeatureAdaptor
-
- getLocation() - Method in class org.openimaj.feature.local.LocalFeatureImpl
-
- getLocation() - Method in interface org.openimaj.feature.local.LocationProvider
-
Get the location associated with this object.
- getLocation() - Method in class org.openimaj.feature.local.quantised.QuantisedLocalFeature
-
- getLocation() - Method in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint
-
- getLocation() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- getLocation() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- getLocation() - Method in class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint
-
- getLocation() - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
- getLocation() - Method in class org.openimaj.vis.general.AxisConfig
-
- getLogNormalisedMagnitude() - Method in class org.openimaj.image.processing.algorithm.FourierTransform
-
Get a log-normalised copy of the magnitude image suitable for displaying.
- getLogoAsStream() - Static method in class org.openimaj.OpenIMAJ
-
Get a stream to the OpenIMAJ logo.
- getLogoAsURL() - Static method in class org.openimaj.OpenIMAJ
-
Get a URL to the OpenIMAJ logo.
- getLongitude() - Method in class org.openimaj.hardware.gps.GPSSerialReader
-
- getLongitude() - Method in class org.openimaj.vis.world.WorldPlace
-
- getLowestPoint2d(List<Point2d>) - Static method in class org.openimaj.math.geometry.shape.util.GrahamScan
-
Returns the Point2ds with the lowest y coordinate.
- getLowFrequency() - Method in class org.openimaj.audio.filters.TriangularFilter
-
Returns the lowest frequency of the filter
- getM() - Method in class org.openimaj.math.model.LeastSquaresLinearModel
-
Get the gradient (m in y=mx+c)
- getMagnificationFactor() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the magnification factor determining the size of a spatial SIFT bin
relative to the scale.
- getMagnitude() - Method in class org.openimaj.image.processing.algorithm.FourierTransform
-
- getMagnitude() - Method in class org.openimaj.image.processing.convolution.CLSobel
-
- getMagnitude() - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
- getMagnitude() - Method in class org.openimaj.math.util.Complex
-
Return the magnitude of this complex number.
- getMagnitudes() - Method in class org.openimaj.audio.analysis.FourierTransform
-
Returns the magnitudes of the last FFT data.
- getMagnitudeThreshold() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the threshold on the magnitude of detected points (Lowe IJCV, p.11)
- getMain(Class<?>) - Static method in class org.openimaj.util.reflection.ReflectionUtils
-
Get the "public static main(String [] args)" method of the class,
or null if it doesn't have one.
- getMainClass(File) - Static method in class org.openimaj.aop.classloader.ClassLoaderTransform
-
Get the main class from the manifest of the given jar file
- getMajor() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- getMajorGridColour() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMajorGridThickness() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMajorTickColour() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMajorTickLabelFont() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMajorTickLabelSpacing() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMajorTickLength() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMajorTickSpacing() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMajorTickThickness() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMap() - Method in class org.openimaj.data.dataset.MapBackedDataset
-
Get the underlying map.
- getMask() - Method in class org.openimaj.image.mask.AbstractMaskedObject
-
- getMask() - Method in interface org.openimaj.image.mask.MaskedObject
-
- getMask() - Method in class org.openimaj.image.processing.face.alignment.AffineAligner
-
- getMask() - Method in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- getMask() - Method in interface org.openimaj.image.processing.face.alignment.FaceAligner
-
Return a mask image for aligned faces.
- getMask() - Method in class org.openimaj.image.processing.face.alignment.IdentityAligner
-
- getMask() - Method in class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
- getMask() - Method in class org.openimaj.image.processing.face.alignment.RotateScaleAligner
-
- getMask() - Method in class org.openimaj.image.processing.face.alignment.ScalingAligner
-
- getMatcher() - Static method in class org.openimaj.text.nlp.namedentity.YagoEntityExactMatcherFactory
-
- getMatcher(String) - Static method in class org.openimaj.text.nlp.namedentity.YagoEntityExactMatcherFactory
-
- getMatches() - Method in class org.openimaj.feature.local.matcher.BasicMatcher
-
- getMatches() - Method in class org.openimaj.feature.local.matcher.BasicTwoWayMatcher
-
- getMatches() - Method in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- getMatches() - Method in class org.openimaj.feature.local.matcher.consistent.LocalConsistentKeypointMatcher
-
- getMatches() - Method in class org.openimaj.feature.local.matcher.FastEuclideanKeypointMatcher
-
- getMatches() - Method in class org.openimaj.feature.local.matcher.FastLimitedEuclideanKeypointMatcher
-
- getMatches() - Method in interface org.openimaj.feature.local.matcher.LocalFeatureMatcher
-
Get the matches detected by the underlying algorithm
- getMatches() - Method in class org.openimaj.feature.local.matcher.MultipleMatchesMatcher
-
- getMatches() - Method in class org.openimaj.feature.local.matcher.quantised.BasicQuantisedKeypointMatcher
-
- getMatches() - Method in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- getMatchingShape(Point2d) - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
Get the shape in the observation space for a point in the canonical
space.
- getMatchingShapeIndex(Point2d) - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
Get the shape pair index for a point in the canonical space.
- getMathInput() - Method in class org.openimaj.image.typography.mathml.MathMLFontStyle
-
- getMatrix() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMResult
-
Get the internal ConfusionMatrix
.
- getMatrix() - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- getMatrix() - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
- getMax() - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Get the expected maximum value in the input image.
- getMaxArea() - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- getMaxArea() - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- getMaximum() - Method in class org.openimaj.vis.audio.AudioWaveform
-
Get the maximum value in use
- getMaximumDetectionSize() - Method in class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
- getMaximumDetectionSize() - Method in interface org.openimaj.image.objectdetection.MultiScaleObjectDetector
-
(Optional operation).
- getMaxIterations() - Method in class org.openimaj.image.model.asm.ActiveShapeModel
-
- getMaxIterations() - Method in class org.openimaj.math.model.fit.RANSAC
-
- getMaxIterations() - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
Get the maximum allowed number of iterations.
- getMaxIterations() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getMaxResidue() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getMaxSize() - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- getMaxStrokeWidth() - Method in class org.openimaj.image.processing.edges.StrokeWidthTransform
-
Get the maximum stroke width
- getMaxValue() - Method in class org.openimaj.vis.general.AxisConfig
-
- getMaxValue() - Method in class org.openimaj.vis.general.BarVisualisation
-
Get the maximum value for the scaling
- getMaxValue() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Get the maximum value for the scaling
- getMaxVariation() - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- getMaxVariation() - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- getMaxYValue() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Returns the maximum value of the y axis
- getMBFImage() - Method in interface org.openimaj.image.processing.face.detection.benchmarking.FDDBRecord
-
- getMean() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- getMean() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- getMean() - Method in class org.openimaj.math.geometry.shape.PointDistributionModel
-
- getMean() - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
- getMean() - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
- getMean() - Method in class org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian
-
- getMean() - Method in interface org.openimaj.math.statistics.distribution.MultivariateGaussian
-
Get the mean
- getMean() - Method in class org.openimaj.math.statistics.MeanAndCovariance
-
Get the mean vector
- getMean() - Method in class org.openimaj.ml.linear.learner.perceptron.MeanCenteredKernelPerceptron
-
- getMean() - Method in class org.openimaj.ml.linear.learner.perceptron.MeanCenteredProjectron
-
- getMean() - Method in class org.openimaj.video.processing.pixels.FMeanVarianceField
-
Get the mean field of all the frames that have been analysed so far.
- getMean() - Method in class org.openimaj.video.processing.pixels.MBFMeanVarianceField
-
Get the mean field of all the frames that have been analysed so far.
- getMeanHue() - Method in class org.openimaj.image.feature.global.HueStats
-
Get the mean hue value.
- getMeasures() - Method in class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Returns the number of measures.
- getMediaEntities() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getMember_of() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getMember_of() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getMergeTree() - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- getMeshColour() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- getMeta() - Method in class org.openimaj.util.stream.window.Aggregation
-
- getMeta() - Method in class org.openimaj.util.stream.window.MetaPayload
-
- getMetaClass() - Method in class org.openimaj.hardware.gps.NMEAMessage
-
- getMetaClass() - Method in class org.openimaj.hardware.gps.NMEAParser
-
- getMetaClass() - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- getMetadata(Configuration) - Static method in class org.openimaj.hadoop.sequencefile.MetadataConfiguration
-
Read any metadata stored in the Configuration
.
- getMetadata() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Return the metadata map.
- getMetadata() - Method in class org.openimaj.image.searching.ImageSearchResult
-
- getMin() - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Get the expected minimum value in the input image
- getMinArea() - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- getMinArea() - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- getMinDegreeVertex(UndirectedGraph<V, E>) - Method in class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph
-
- getMinDegreeVertexBruteForce(UndirectedGraph<V, E>) - Method in class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph
-
- getMinDeterminant() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getMinDisplacement() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getMinDist() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getMinDiversity() - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- getMinDiversity() - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- getMinEigenvalue() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getMinimumBoundingRectangle(Polygon, boolean) - Static method in class org.openimaj.math.geometry.shape.util.RotatingCalipers
-
Use the rotating calipers algorithm to optimally find the minimum sized
rotated rectangle that encompasses the outer shell of the given polygon.
- getMinimumDetectionSize() - Method in class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
- getMinimumDetectionSize() - Method in interface org.openimaj.image.objectdetection.MultiScaleObjectDetector
-
(Optional operation).
- getMinor() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- getMinorGridColour() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMinorGridThickness() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMinorTickColour() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMinorTickLabelFont() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMinorTickLabelSpacing() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMinorTickLength() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMinorTickSpacing() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMinorTickThickness() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getMinSize() - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- getMinutes() - Method in class org.openimaj.video.timecode.HrsMinSecFrameTimecode
-
Get the number of minutes within the hour.
- getMinValue() - Method in class org.openimaj.vis.general.AxisConfig
-
- getMinValue() - Method in class org.openimaj.vis.general.BarVisualisation
-
Get the minimum value in use.
- getMinValue() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Get the minimum value in use.
- getMode() - Method in class org.openimaj.tools.localfeature.options.BaseExtractorOptions
-
- getMode() - Method in class org.openimaj.tools.localfeature.options.LocalFeatureMode.LocalFeatureModeOp
-
- getMode() - Method in class org.openimaj.video.VideoDisplay
-
Returns the current state of the video display.
- getModel() - Method in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- getModel() - Method in class org.openimaj.feature.local.matcher.consistent.LocalConsistentKeypointMatcher
-
- getModel() - Method in interface org.openimaj.feature.local.matcher.consistent.ModelFittingLocalFeatureMatcher
-
Get the model that has been learned.
- getModel() - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
- getModel() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator
-
- getModel() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustFundamentalEstimator
-
- getModel() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustHomographyEstimator
-
- getModel() - Method in class org.openimaj.math.model.fit.LMedS
-
- getModel() - Method in interface org.openimaj.math.model.fit.ModelFitting
-
- getModel() - Method in class org.openimaj.math.model.fit.RANSAC
-
- getModel() - Method in class org.openimaj.math.model.fit.SimpleModelFitting
-
- getModel() - Method in class org.openimaj.math.util.distance.ModelDistanceCheck
-
- getModelConstructionData() - Method in class org.openimaj.math.model.fit.RANSAC
-
- getModelTracker() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Returns the model tracker
- getModerator_of() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getModerator_of() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getModes() - Method in class org.openimaj.ml.clustering.meanshift.ExactMeanShift
-
Get the modes
- getModified_at() - Method in interface orgrdfs.sioc.ns.Post
-
- getModified_at() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getModifier_of() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getModifier_of() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getMotionVectors() - Method in class org.openimaj.video.processing.motion.MotionEstimator
-
Return the estimated motion vectors for the last processed frame.
- getN() - Method in class ch.akuhn.matrix.eigenvalues.Eigenvalues
-
- getN() - Method in class org.openimaj.image.processing.face.detection.benchmarking.Results
-
- getName(K, V, ExtractionState, boolean) - Method in enum org.openimaj.hadoop.sequencefile.NamingStrategy
-
Generate the filename for the given record (key-value pair).
- getName() - Method in class org.openimaj.image.objectdetection.haar.StageTreeClassifier
-
Get the classifier name
- getName() - Method in interface org.openimaj.image.typography.Font
-
Get the name of this font
- getName() - Method in class org.openimaj.image.typography.general.GeneralFont
-
Get the name of this font
- getName() - Method in enum org.openimaj.image.typography.hershey.HersheyFont
-
- getName() - Method in class org.openimaj.image.typography.mathml.MathMLFont
-
- getName(List<T>, int) - Method in interface org.openimaj.tools.faces.FaceSimilarityTool.ImageGetter
-
Get the name of the item
- getName() - Method in class org.openimaj.video.capture.Device
-
- getName() - Method in class org.openimaj.vis.general.AxisConfig
-
- getName() - Method in class org.openimaj.vis.world.WorldPlace
-
- getNameColour() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getNameDirection() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getNameInternal(K, V, ExtractionState) - Method in enum org.openimaj.hadoop.sequencefile.NamingStrategy
-
- getNameOrientation() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getNames() - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- getNameSize() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getNameStr() - Method in class org.openimaj.video.capture.Device
-
- getNaturalness() - Method in class org.openimaj.image.feature.global.Naturalness
-
- getNBits() - Method in class org.openimaj.audio.AudioFormat
-
Get the number of bits in each sample.
- getnChars() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the number of characters being generated.
- getNDecisions() - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- getNearestNeighbourFactory() - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
- getNearestNeighbours() - Method in interface org.openimaj.knn.ByteNearestNeighboursProvider
-
- getNearestNeighbours() - Method in interface org.openimaj.knn.DoubleNearestNeighboursProvider
-
- getNearestNeighbours() - Method in interface org.openimaj.knn.FloatNearestNeighboursProvider
-
- getNearestNeighbours() - Method in interface org.openimaj.knn.IntNearestNeighboursProvider
-
- getNearestNeighbours() - Method in interface org.openimaj.knn.LongNearestNeighboursProvider
-
- getNearestNeighbours() - Method in interface org.openimaj.knn.ObjectNearestNeighboursProvider
-
- getNearestNeighbours() - Method in interface org.openimaj.knn.ShortNearestNeighboursProvider
-
- getNearestNeighbours() - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans.Result
-
- getNearestNeighbours() - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans.Result
-
- getNearestNeighbours() - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans.Result
-
- getNearestNeighbours() - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans.Result
-
- getNearestNeighbours() - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans.Result
-
- getNearestNeighbours() - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans.Result
-
- getNearestNeighbours() - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans.Result
-
- getNegativePattern() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- getNegativeTrainingImages(InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.objectdetection.datasets.INRIAPersonDataset
-
- getNeighbours(FImage, int, int, float) - Method in enum org.openimaj.image.pixel.ConnectedComponent.ConnectMode
-
Get the neighbouring pixels
- getNext_by_date() - Method in interface orgrdfs.sioc.ns.Item
-
- getNext_by_date() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getNext_by_date() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getNext_version() - Method in interface orgrdfs.sioc.ns.Item
-
- getNext_version() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getNext_version() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getNextFrame() - Method in class org.openimaj.hardware.kinect.KinectStream
-
- getNextFrame() - Method in class org.openimaj.video.AnimatedVideo
-
- getNextFrame() - Method in class org.openimaj.video.ArrayBackedVideo
-
- getNextFrame() - Method in class org.openimaj.video.capture.VideoCapture
-
Get the next frame.
- getNextFrame() - Method in class org.openimaj.video.FileBackedVideo
-
- getNextFrame() - Method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- getNextFrame() - Method in class org.openimaj.video.processor.VideoProcessor
-
Get the next frame.
- getNextFrame() - Method in class org.openimaj.video.translator.VideoTranslator
-
- getNextFrame() - Method in class org.openimaj.video.Video
-
Get the next frame.
- getNextFrame() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Get the next frame.
- getNextFrame() - Method in class org.openimaj.web.video.VGetVideo
-
- getNextOctaveImage() - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianOctave
-
- getNextOctaveImage() - Method in class org.openimaj.image.analysis.pyramid.Octave
-
Get the image that starts the next octave.
- getNGrams(List<R>, int...) - Method in class org.openimaj.text.nlp.namedentity.NGramGenerator
-
- getNN() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactByteAssigner
-
Get the underlying nearest-neighbour implementation.
- getNN() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactDoubleAssigner
-
Get the underlying nearest-neighbour implementation.
- getNN() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFeatureVectorAssigner
-
Get the underlying nearest-neighbour implementation.
- getNN() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFloatAssigner
-
Get the underlying nearest-neighbour implementation.
- getNN() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactIntAssigner
-
Get the underlying nearest-neighbour implementation.
- getNN() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactLongAssigner
-
Get the underlying nearest-neighbour implementation.
- getNN() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactShortAssigner
-
Get the underlying nearest-neighbour implementation.
- getNode(int) - Method in class org.openimaj.math.geometry.shape.util.polygon.EdgeTable
-
- getNoise() - Method in class org.openimaj.ml.clustering.dbscan.DBSCANClusters
-
- getNonExpertData() - Method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
Returns the results from the non-expert turkers.
- getNonHadoopArgs() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
- getNonStopWords(List<String>) - Method in class org.openimaj.text.nlp.namedentity.IgnoreTokenStripper
-
Strips given list of tokens of all ignore words.
- getNormal() - Method in class org.openimaj.math.geometry.line.Line2d
-
Returns a line that is at 90 degrees to the original line.
- getNormal(Point2d) - Method in class org.openimaj.math.geometry.line.Line2d
-
Returns a line that is at 90 degrees to the original line and also passes
through the given point.
- getNormalisations(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Generates the data for normalisation of the points such that each matched
point is centered about the origin and also scaled be be within
Math.sqrt(2) of the origin.
- getNormalisedColourPlanes(BufferedImage) - Static method in class org.openimaj.image.ImageUtilities
-
Calculate normalised RGB planes.
- getNormalisedMagnitudes(float) - Method in class org.openimaj.audio.analysis.FourierTransform
-
Scales the real and imaginary parts by the scalar prior to
calculating the (square) magnitude for normalising the outputs.
- getNormDirection() - Method in class org.openimaj.ml.linear.data.LinearPerceptronDataGenerator
-
- getNTrees() - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- getNTweets() - Method in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
- getNum_items() - Method in interface orgrdfs.sioc.ns.Container
-
- getNum_items() - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- getNum_items() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getNum_threads() - Method in interface orgrdfs.sioc.ns.Forum
-
- getNum_threads() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getNumBands() - Method in enum org.openimaj.image.colour.ColourSpace
-
Get the number of bands required by this colour space
- getNumberOfDirBins() - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
- getNumberOfFrames() - Method in class org.openimaj.video.VideoCache
-
Returns the number of frames that have been cached.
- getNumberOfProcessors() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Returns the number of available processors.
- getNumberOfReducers() - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloaderOptions
-
- getNumberOfSamples() - Method in class org.openimaj.audio.SampleChunk
-
Returns the number of samples in this sample chunk.
- getNumberOfSatellites() - Method in class org.openimaj.hardware.gps.GPSSerialReader
-
- getNumberOfSegments() - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Get the number of directional accumulator bins.
- getNumberOfThreads() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Returns the current number of threads.
- getNumberOfThreads() - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloaderOptions
-
Get the number of threads to use in the mapper.
- getNumberRecords() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get number of records in file.
- getNumberSamples() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- getNumberSamples() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- getNumberToStore() - Method in class org.openimaj.audio.features.SpectralFlux
-
Get the number of spectral flux values to store in the feature
- getNumBins() - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- getNumBins() - Method in class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
- getNumBins() - Method in interface org.openimaj.image.analysis.algorithm.histogram.WindowedHistogramExtractor
-
Get the number of bins
- getNumBinsX() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
Get the number of spatial bins in the X direction
- getNumBinsX() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getNumBinsX() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getNumBinsX() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getNumBinsY() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
Get the number of spatial bins in the Y direction
- getNumBinsY() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getNumBinsY() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getNumBinsY() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getNumChannels() - Method in class org.openimaj.audio.AudioFormat
-
Get the number of channels in this format.
- getNumComponents() - Method in class org.openimaj.image.model.EigenImages
-
Get the number of PCA components selected by this
EigenImages
object.
- getNumDevices() - Method in class org.openimaj.video.capture.DeviceList
-
- getNumInnerPoly() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Returns the number of inner polygons in this polygon including this
polygon.
- getNumOriBins() - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
Get the number of orientation bins
- getNumOriBins() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- getNumOriBins() - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- getNumOriBins() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
- getNumOriBins() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the number of orientation bins (default 8) in the SIFT feature
- getNumOriHistBins() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the number of orientation histogram bins for finding the dominant
orientations; Lowe's IJCV paper (p.13) suggests 36 bins.
- getNumSpatialBins() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the number of spatial bins in each direction (default 4) in the SIFT
feature
- getObject() - Method in class org.openimaj.experiment.gmm.retrieval.UKBenchListDataset
-
- getObject() - Method in class org.openimaj.image.annotation.evaluation.dataset.CorelAnnotatedImage
-
- getObject() - Method in interface org.openimaj.ml.annotation.Annotated
-
- getObject() - Method in class org.openimaj.ml.annotation.AnnotatedObject
-
- getObjectClass() - Method in class org.openimaj.image.annotation.evaluation.datasets.Caltech101.Record
-
Get the class of the object depicted in the image.
- getObjectURI(Object, URIImpl) - Method in class org.openimaj.rdf.serialize.RDFSerializer
-
Returns a URI for the given object.
- getOCRProcessor() - Method in class org.openimaj.image.text.extraction.TextExtractor
-
Return the OCR processor being used to extract text from the
image.
- getOctave() - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
- getOctave() - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
- getOctave() - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
- getOctave() - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveInterestPointFinder
-
- getOctave() - Method in interface org.openimaj.image.feature.local.detector.pyramid.OctaveInterestPointFinder
-
Get the octave from which we are operating
- getOctaveInterestPointListener() - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
- getOctaveInterestPointListener() - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
- getOctaveInterestPointListener() - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveInterestPointFinder
-
- getOctaveInterestPointListener() - Method in interface org.openimaj.image.feature.local.detector.pyramid.OctaveInterestPointFinder
-
Get the current listener object.
- getOctaveProcessor() - Method in class org.openimaj.image.analysis.pyramid.PyramidOptions
-
Get an OctaveProcessor to apply to each octave of the pyramid or null
if none is set.
- getOctaves() - Method in class org.openimaj.image.analysis.pyramid.Pyramid
-
Get the octaves of this pyramid if they have
been retained by the processing.
- getOffset() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getOpposingColour(Float[]) - Static method in enum org.openimaj.vis.timeline.Timeline.TimelineMarkerType
-
Returns an opposing colour
- getOptionName() - Method in class org.kohsuke.args4j.spi.AbstractGetter
-
- getOptionName() - Method in interface org.kohsuke.args4j.spi.Getter
-
- getOptions() - Method in interface org.kohsuke.args4j.CmdLineOptionsProvider
-
- getOptions() - Method in class org.openimaj.audio.generation.Oscillator.DummyOscillator
-
- getOptions() - Method in class org.openimaj.audio.generation.Oscillator.FrequencyModulatedOscillator
-
- getOptions() - Method in interface org.openimaj.audio.generation.Oscillator
-
Returns the options for the particular oscillator type.
- getOptions() - Method in class org.openimaj.audio.generation.Oscillator.NoiseOscillator
-
- getOptions() - Method in class org.openimaj.audio.generation.Oscillator.SawOscillator
-
- getOptions() - Method in class org.openimaj.audio.generation.Oscillator.SineOscillator
-
- getOptions() - Method in class org.openimaj.audio.generation.Oscillator.SquareOscillator
-
- getOptions() - Method in enum org.openimaj.hadoop.tools.downloader.InputMode
-
- getOptions() - Method in enum org.openimaj.hadoop.tools.twitter.token.mode.TwitterTokenModeOption
-
- getOptions() - Method in enum org.openimaj.hadoop.tools.twitter.token.outputmode.TwitterTokenOutputModeOption
-
- getOptions() - Method in class org.openimaj.image.analysis.pyramid.Pyramid
-
Get the options used to initialise this pyramid
- getOptions() - Method in class org.openimaj.image.feature.local.engine.DoGColourSIFTEngine
-
- getOptions() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngine
-
- getOptions() - Method in class org.openimaj.image.feature.local.engine.MinMaxDoGSIFTEngine
-
Get the options for this engine.
- getOptions() - Method in class org.openimaj.image.text.extraction.swt.SWTTextDetector
-
Get the current options.
- getOptions() - Method in enum org.openimaj.picslurper.output.OutputListenerMode
-
- getOptions() - Method in enum org.openimaj.picslurper.output.TrendDetectorFeatureMode
-
- getOptions() - Method in enum org.openimaj.rdf.storm.tool.topology.TopologyModeOption
-
- getOptions() - Method in enum org.openimaj.tools.clusterquantiser.fastkmeans.ByteKMeansInitialisers
-
- getOptions() - Method in enum org.openimaj.tools.faces.recognition.options.Aligners.AnyAligner
-
- getOptions() - Method in enum org.openimaj.tools.faces.recognition.options.FaceDetectors.AnyBasicFImageDetector
-
- getOptions() - Method in enum org.openimaj.tools.faces.recognition.options.RecognitionStrategy
-
- getOptions() - Method in enum org.openimaj.tools.globalfeature.GlobalFeatureType
-
- getOptions() - Method in enum org.openimaj.tools.globalfeature.ShapeFeatures
-
- getOptions() - Method in enum org.openimaj.tools.imagecollection.collection.config.ImageCollectionProcessorMode
-
- getOptions() - Method in enum org.openimaj.tools.imagecollection.ImageCollectionProcessorMode
-
- getOptions() - Method in enum org.openimaj.tools.localfeature.options.LocalFeatureMode
-
- getOptions() - Method in enum org.openimaj.tools.reddit.SplitModeOption
-
- getOptions() - Method in enum org.openimaj.tools.twitter.modes.filter.RegexEngineMode
-
- getOptions() - Method in enum org.openimaj.tools.twitter.modes.filter.TwitterPreprocessingFilterOption
-
- getOptions() - Method in enum org.openimaj.tools.twitter.modes.output.TwitterOutputModeOption
-
- getOptions() - Method in enum org.openimaj.tools.twitter.modes.preprocessing.TwitterPreprocessingModeOption
-
- getOptionsMap() - Method in class org.openimaj.tools.clusterquantiser.ClusterType.ClusterTypeOp
-
- getOrder() - Method in class org.openimaj.text.nlp.textpipe.annotations.PhraseAnnotation
-
Returns a string representation of the Phrase order of this phrase.
- getOrdinate(int) - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- getOrdinate(int) - Method in class org.openimaj.feature.local.SpatialLocation
-
- getOrdinate(int) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation
-
- getOrdinate(int) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint
-
- getOrdinate(int) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- getOrdinate(int) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- getOrdinate(int) - Method in class org.openimaj.image.feature.local.keypoints.KeypointLocation
-
- getOrdinate(int) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- getOrdinate(int) - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
- getOrdinate(int) - Method in class org.openimaj.image.pixel.Pixel
-
Get the ordinate value for a specific dimension.
- getOrdinate(int) - Method in interface org.openimaj.math.geometry.point.Coordinate
-
Get the ordinate value for a specific dimension.
- getOrdinate(int) - Method in class org.openimaj.math.geometry.point.DoublePoint2dImpl
-
- getOrdinate(int) - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- getOrdinate(int) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- getOrdinate(int) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- getOrdinate(int) - Method in class org.openimaj.video.tracking.klt.Feature
-
- getOrientation() - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
Get the primary orientation of the feature.
- getOrientation() - Method in class org.openimaj.image.processing.convolution.CLSobel
-
- getOrientation() - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
- getOrientation() - Method in class org.openimaj.vis.general.AxisConfig
-
- getOrigin() - Method in class org.openimaj.ml.linear.data.LinearPerceptronDataGenerator
-
- getOriginalLink() - Method in class org.openimaj.web.scraping.images.ImgurClient.ImageResponse
-
- getOriHistExtractor() - Method in class org.openimaj.image.feature.local.detector.dog.extractor.DominantOrientationExtractor
-
- getOscillator() - Method in class org.openimaj.audio.generation.Synthesizer
-
Returns the oscillator in use.
- getOtherInfoClass() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getOtherInfoClass() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getOtherInfoClass() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getOtherInfoFile() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getOtherInfoFile() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getOtherInfoType() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getOtherInfoType() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getOtherInfoType() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getOuterBoundary() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Returns an ordered list of pixels that are on the outer boundary of the
shape.
- getOutliers() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator
-
- getOutliers() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustFundamentalEstimator
-
- getOutliers() - Method in class org.openimaj.math.geometry.transforms.estimation.RobustHomographyEstimator
-
- getOutliers() - Method in class org.openimaj.math.model.fit.LMedS
-
- getOutliers() - Method in class org.openimaj.math.model.fit.RANSAC
-
- getOutliers() - Method in interface org.openimaj.math.model.fit.RobustModelFitting
-
- getOutliers() - Method in class org.openimaj.math.model.fit.SimpleModelFitting
-
- getOutput(RecordDetail[], int, int) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
-
Calculates and returns message of given record detail array.
- getOutput() - Method in class org.openimaj.tools.InOutToolOptions
-
- getOutput(File) - Method in class org.openimaj.tools.localfeature.options.BatchExtractorOptions
-
Get the output file corresponding to the input, making directories as
required
- getOutput() - Method in class org.openimaj.tools.localfeature.options.ExtractorOptions
-
Get the output location
- getOutput() - Method in class org.openimaj.tools.similaritymatrix.SimilarityMatrixToolOptions
-
- getOutputClass() - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- getOutputFields() - Method in class backtype.storm.scheme.StringScheme
-
- getOutputFields() - Method in class backtype.storm.spout.KestrelThriftSpout
-
- getOutputFields() - Method in class org.openimaj.storm.scheme.StringScheme
-
- getOutputFile() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getOutputFileString() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- getOutputFileString() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getOutputFileString() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getOutputFormat() - Method in class org.openimaj.audio.conversion.AudioConverter
-
- getOutputMode() - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIFOptions
-
- getOutputPath() - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloaderOptions
-
- getOutputPath() - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIFOptions
-
- getOutputPath(InOutToolOptions) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
- getOutputPath(String) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
Get the output path from a String.
- getOutputPath() - Method in class org.openimaj.hadoop.tools.localfeature.HadoopLocalFeaturesToolOptions
-
- getOutputPath() - Method in class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexerOptions
-
- getOutputPath() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingToolOptions
-
- getOutputPower() - Method in class org.openimaj.audio.filters.FeedForwardCombFilter
-
Returns the output power for the last processed frame.
- getOutputPower() - Method in class org.openimaj.audio.filters.MusicalNoteFilterBank
-
Get the last calculated output power.
- getOutputStream() - Method in class org.openimaj.hardware.serial.SerialDevice
-
Returns the output stream for this device.
- getOutputString() - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIFOptions
-
- getOutputString() - Method in class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexerOptions
-
- getOversamplingAmount() - Method in class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
- getOversamplingAmount() - Method in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- getOversamplingAmount() - Method in interface org.openimaj.image.feature.local.descriptor.LocalFeatureProvider
-
Get the amount of required over-sampling outside of the unit square
patch.
- getOwner_of() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getOwner_of() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getPackageName(URI) - Static method in class org.openimaj.rdf.owl2java.Generator
-
From the given URI will attempt to create a java package name by
reversing all the elements and separating with dots.
- getPackageName(URI, boolean) - Static method in class org.openimaj.rdf.owl2java.Generator
-
From the given URI will attempt to create a java package name by
reversing all the elements and separating with dots.
- getPadding() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the amount of padding around the image.
- getParams() - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- getParams() - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- getParams() - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- getParent_of() - Method in interface orgrdfs.sioc.ns.Container
-
- getParent_of() - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- getParent_of() - Method in class orgrdfs.sioc.ns.ForumImpl
-
- getPartition(HadoopSiftLSHExtractor.MapperOut, Text, int) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.LSHPartitioner
-
- getPartition(BytesWritable, BytesWritable, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairPartitioner
-
- getPartition(BytesWritable, BytesWritable, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortPartitioner
-
- getPartitions() - Method in class org.openimaj.util.parallel.partition.FixedSizeBlockingChunkPartitioner
-
- getPartitions() - Method in class org.openimaj.util.parallel.partition.FixedSizeChunkPartitioner
-
- getPartitions() - Method in class org.openimaj.util.parallel.partition.GrowingChunkPartitioner
-
- getPartitions() - Method in interface org.openimaj.util.parallel.partition.Partitioner
-
- getPartitions() - Method in class org.openimaj.util.parallel.partition.RangePartitioner
-
- getPatches(int) - Method in class org.openimaj.image.feature.local.keypoints.KeypointVisualizer
-
Extract the oriented sampling patches used in the construction of the
keypoints.
- getPatches() - Method in class org.openimaj.workinprogress.featlearn.RandomPatchSampler
-
- getPath(URI) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get a path from a uri.
- getPath(int, int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int, int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int, int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int, int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int, int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int, int, int) - Static method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPath(int) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Given an index, what was the path down the hierarchy that lead to it.
- getPattern() - Method in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
-
- getPattern() - Method in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
-
- getPayload() - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- getPayload() - Method in class org.openimaj.util.stream.window.Aggregation
-
- getPayload() - Method in class org.openimaj.util.stream.window.MetaPayload
-
- getPCA() - Method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
- getPDM() - Method in class org.openimaj.image.model.asm.ActiveShapeModel
-
- getPDM() - Method in class org.openimaj.image.model.asm.MultiResolutionActiveShapeModel
-
- getPeakThreshold() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the threshold for peak detection in the orientation histogram.
- getPenColour() - Method in class org.openimaj.image.Plotter
-
- getPenPosition() - Method in class org.openimaj.image.Plotter
-
- getPenThickness() - Method in class org.openimaj.image.Plotter
-
- getPercentageThreshold() - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- getPerspectiveJitter() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the amount of perspective jitter being simulated
- getPhase() - Method in class org.openimaj.image.processing.algorithm.FourierTransform
-
- getPhoto(int) - Method in class org.openimaj.image.dataset.FlickrImageDataset
-
Get the a specific underlying flickr Photo
object corresponding
to a particular image instance.
- getPhotos() - Method in class org.openimaj.image.dataset.FlickrImageDataset
-
Get the underlying flickr Photo
objects.
- getPhrasefromString(String) - Static method in enum org.openimaj.text.nlp.textpipe.annotations.PhraseAnnotation.Phrase
-
- getPitch() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Returns the pitch of the model (that is the look up/down, noddy head movement).
- getPixel(int, int) - Method in class org.openimaj.image.FImage
-
Get the value of the pixel at coordinate (x, y)
.
- getPixel(int, int) - Method in class org.openimaj.image.Image
-
Get the value of the pixel at coordinate (x, y)
.
- getPixel(Pixel) - Method in class org.openimaj.image.Image
-
Get the value of the pixel at coordinate p
- getPixel(int, int) - Method in class org.openimaj.image.MBFImage
-
- getPixel(int, int) - Method in class org.openimaj.image.SVGImage
-
- getPixelComparator() - Method in class org.openimaj.image.FImage
-
Returns a pixel comparator that is able to compare equality of pixels in
the given image type.
- getPixelComparator() - Method in class org.openimaj.image.Image
-
Returns a pixel comparator that is able to compare equality of pixels in
the given image type.
- getPixelComparator() - Method in class org.openimaj.image.MBFImage
-
- getPixelComparator() - Method in class org.openimaj.image.SVGImage
-
- getPixelInterp(double, double) - Method in class org.openimaj.image.FImage
-
Get the value of a sub-pixel using linear-interpolation.
- getPixelInterp(double, double, Float) - Method in class org.openimaj.image.FImage
-
Get the value of a sub-pixel using linear-interpolation.
- getPixelInterp(double, double) - Method in class org.openimaj.image.Image
-
Get the value of a sub-pixel using linear-interpolation.
- getPixelInterp(double, double, Q) - Method in class org.openimaj.image.Image
-
Get the value of a sub-pixel using linear-interpolation.
- getPixelInterp(double, double) - Method in class org.openimaj.image.MBFImage
-
- getPixelInterp(double, double, Float[]) - Method in class org.openimaj.image.MBFImage
-
- getPixelInterp(double, double) - Method in class org.openimaj.image.SVGImage
-
- getPixelInterp(double, double, Float[]) - Method in class org.openimaj.image.SVGImage
-
- getPixelInterpNative(float, float, float) - Method in class org.openimaj.image.FImage
-
Interpolate the value of a pixel at the given coordinates
- getPixelInterpolated(float, float) - Method in class org.openimaj.image.analysis.algorithm.ImageInterpolation
-
Get the interpolated pixel value of the previously analysed image
- getPixelNative(Pixel) - Method in class org.openimaj.image.FImage
-
Get the value of the pixel at coordinate p
- getPixelNative(int, int) - Method in class org.openimaj.image.FImage
-
Get the value of the pixel at coordinate (x, y)
.
- getPixelNative(Pixel) - Method in class org.openimaj.image.MBFImage
-
Get the value of the pixel at coordinate p
- getPixelNative(int, int) - Method in class org.openimaj.image.MBFImage
-
Get the value of the pixel at coordinate (x, y)
.
- getPixels() - Method in class org.openimaj.image.analysis.watershed.Component
-
Get the pixels in the component.
- getPixels() - Method in class org.openimaj.image.pixel.PixelSet
-
Returns the set of
Pixel
s that are within this component.
- getPixels() - Method in class org.openimaj.image.processing.morphology.HitAndMiss
-
Get the pixels selected by the hit and miss operator
- getPixelVector(Q[]) - Method in class org.openimaj.image.Image
-
Returns the pixels in this image as a vector (an array of the pixel
type).
- getPixelVectorNative(float[]) - Method in class org.openimaj.image.FImage
-
Returns the pixels in this image as a vector (an array of the pixel
type).
- getPixelVectorNative(float[][]) - Method in class org.openimaj.image.MBFImage
-
Returns the pixels in this image as a vector (an array of the pixel
type).
- getPlace() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getPlane() - Method in class org.openimaj.ml.linear.data.LinearPerceptronDataGenerator
-
- getPlaneDirections(List<double[]>, List<Double>) - Static method in class org.openimaj.ml.linear.kernel.LinearVectorKernel
-
- getPlanePoint(List<double[]>, List<Double>, double, double...) - Static method in class org.openimaj.ml.linear.kernel.LinearVectorKernel
-
On the plane
- getPlotter() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- getPoint(String) - Method in class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
Get the predicted point for a specific element.
- getPointColour() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- getPointLists() - Method in interface org.openimaj.image.model.asm.datasets.ShapeModelDataset
-
Get the points for each instance
- getPoints() - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
Get the underlying data points.
- getPoints() - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
Get the underlying data points.
- getPoints() - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
Get the underlying data points.
- getPoints() - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
Get the underlying data points.
- getPoints() - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
Get the underlying data points.
- getPoints() - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
Get the underlying data points.
- getPoints() - Method in class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
Get a list of the 2-D coordinates learned by the MDS algorithm for each
element in the input similarity matrix.
- getPolygons(String, int, int, GeneralFontStyle<T>) - Static method in class org.openimaj.image.typography.general.GeneralFontRenderer
-
Returns a list of polygons that represent the letters in the given text.
- getPolygons(char[], int, int, GeneralFontStyle<T>) - Static method in class org.openimaj.image.typography.general.GeneralFontRenderer
-
Returns a list of polygons that represent the letters in the given text.
- getPool() - Static method in class org.openimaj.util.parallel.GlobalExecutorPool
-
Get the pool.
- getPoseParameters() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Get the parameters describing the pose of the face.
- getPoseShapeParameters() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Get a vector describing the pose (pitch, yaw and roll only) and shape of
the model.
- getPOSfromString(String) - Static method in enum org.openimaj.text.nlp.textpipe.annotations.POSAnnotation.PartOfSpeech
-
- getPosition() - Method in class org.openimaj.video.VideoDisplay
-
Returns the position of the play head in this video as a percentage of
the length of the video.
- getPositivePattern() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- getPositiveTrainingImages(InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.objectdetection.datasets.INRIAPersonDataset
-
- getPostProcess() - Method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
- getPowerMagnitudes() - Method in class org.openimaj.audio.analysis.FourierTransform
-
Returns the power magnitudes of the last FFT data.
- getPredictedClasses() - Method in class org.openimaj.experiment.evaluation.classification.BasicClassificationResult
-
- getPredictedClasses() - Method in interface org.openimaj.experiment.evaluation.classification.ClassificationResult
-
Get the set of classes predicted by this result.
- getPreferredSize() - Method in interface org.openimaj.vis.timeline.TimelineObject
-
The timeline object needs to be able to suggest a size, if it
needs a particular amount.
- getPreferredVideoCapture(int, int) - Static method in class org.openimaj.content.slideshow.CameraSelector
-
- getPreferredVideoCaptureDevice() - Static method in class org.openimaj.content.slideshow.CameraSelector
-
- getPrevious_by_date() - Method in interface orgrdfs.sioc.ns.Item
-
- getPrevious_by_date() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getPrevious_by_date() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getPrevious_version() - Method in interface orgrdfs.sioc.ns.Item
-
- getPrevious_version() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getPrevious_version() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getPreviousPyramid() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getPrincipalComponent(int) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Get a specific principle component vector as a double array.
- getPrincipalPointX() - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Get the x-ordinate of the principal point (in pixels).
- getPrincipalPointY() - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Get the y-ordinate of the principal point (in pixels).
- getProductQuantiser() - Method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
Get the product quantiser
- getProgress() - Method in class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileRecordReader
-
- getProjection() - Method in class org.openimaj.image.analysis.algorithm.HorizontalProjection
-
- getProjection() - Method in class org.openimaj.image.analysis.algorithm.VerticalProjection
-
- getProperty(String) - Method in class org.openimaj.hardware.gps.NMEAMessage
-
- getProperty(String) - Method in class org.openimaj.hardware.gps.NMEAParser
-
- getProperty(String) - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- getProtectedStringTokens() - Method in class org.openimaj.text.nlp.EntityTweetTokeniser
-
- getProtectedStringTokens() - Method in class org.openimaj.text.nlp.TweetTokeniser
-
- getPyramidProcessor() - Method in class org.openimaj.image.analysis.pyramid.PyramidOptions
-
Gets the currently set PyramidProcessor or null if none is set.
- getQuery() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getQuery() - Method in class org.openimaj.stream.provider.twitter.AbstractTwitterSearchDataset
-
Get the current query
- getQuery() - Method in class org.openimaj.stream.provider.twitter.ContextRoundRobinTwitterSearchAPIDataset
-
- getQuery() - Method in class org.openimaj.stream.provider.twitter.RoundRobinTwitterSearchAPIDataset
-
- getQuery() - Method in class org.openimaj.stream.provider.twitter.TwitterSearchDataset
-
- getRadius() - Method in class org.openimaj.math.geometry.shape.Circle
-
- getRandomByteArray(int, int, byte, byte) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed byte values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomByteArray(int, int, byte, byte, int) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed byte values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomByteArray(int, byte, byte) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed byte values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomByteArray(int, byte, byte, int) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed byte values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomByteArray(int, byte, byte, MersenneTwister) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed byte values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomDoubleArray(int, int, double, double) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed double values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomDoubleArray(int, int, double, double, int) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed double values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomDoubleArray(int, double, double) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed double values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomDoubleArray(int, double, double, int) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed double values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomDoubleArray(int, double, double, MersenneTwister) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed double values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomFeatures(int) - Method in class org.openimaj.hadoop.tools.fastkmeans.SequenceFileByteFeatureSelector
-
- getRandomFloatArray(int, int, float, float) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed float values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomFloatArray(int, int, float, float, int) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed float values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomFloatArray(int, float, float) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed float values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomFloatArray(int, float, float, int) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed float values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomFloatArray(int, float, float, MersenneTwister) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed float values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomInstance() - Method in interface org.openimaj.data.dataset.Dataset
-
- getRandomInstance(KEY) - Method in interface org.openimaj.data.dataset.GroupedDataset
-
Get a random instance from the sub-dataset corresponding to a specific
group.
- getRandomInstance() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- getRandomInstance(KEY) - Method in class org.openimaj.data.dataset.MapBackedDataset
-
- getRandomInstance() - Method in class org.openimaj.data.dataset.MapBackedDataset
-
- getRandomInstance() - Method in class org.openimaj.data.dataset.ReadableGroupDataset
-
- getRandomInstance(KEY) - Method in class org.openimaj.data.dataset.ReadableGroupDataset
-
- getRandomInstance() - Method in class org.openimaj.data.dataset.ReadableListDataset
-
- getRandomInstance() - Method in class org.openimaj.stream.provider.irc.AbstractIRCStreamDataset
-
- getRandomInstance() - Method in class org.openimaj.stream.provider.twitter.AbstractTwitterSearchDataset
-
- getRandomInstance() - Method in class org.openimaj.stream.provider.twitter.AbstractTwitterStatusesFilterDataset
-
- getRandomInstance() - Method in class org.openimaj.stream.provider.twitter.AbstractTwitterStreamDataset
-
- getRandomIntArray(int, int, int, int, int) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomIntArray(int, int, int) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomIntArray(int, int, int, int) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomIntArray(int, int, int, MersenneTwister) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomLongArray(int, int, long, long) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed long values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomLongArray(int, int, long, long, int) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed long values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomLongArray(int, long, long) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed long values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomLongArray(int, long, long, int) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed long values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomLongArray(int, long, long, MersenneTwister) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed long values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomRows(DATATYPE[]) - Method in class org.openimaj.data.AbstractDataSource
-
- getRandomRows(T[]) - Method in class org.openimaj.data.ArrayBackedDataSource
-
- getRandomRows(byte[][]) - Method in class org.openimaj.data.ByteArrayBackedDataSource
-
- getRandomRows(DATATYPE[]) - Method in interface org.openimaj.data.DataSource
-
- getRandomRows(double[][]) - Method in class org.openimaj.data.DoubleArrayBackedDataSource
-
- getRandomRows(float[][]) - Method in class org.openimaj.data.FloatArrayBackedDataSource
-
- getRandomRows(int[][]) - Method in class org.openimaj.data.IntArrayBackedDataSource
-
- getRandomRows(long[][]) - Method in class org.openimaj.data.LongArrayBackedDataSource
-
- getRandomRows(short[][]) - Method in class org.openimaj.data.ShortArrayBackedDataSource
-
- getRandomRows(int) - Method in class org.openimaj.hadoop.tools.fastkmeans.SequenceFileByteDataSelector
-
- getRandomRows(byte[][]) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchByteDataSource
-
- getRandomRows(int[][]) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchIntDataSource
-
- getRandomSeed() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getRandomShortArray(int, int, short, short, int) - Static method in class org.openimaj.data.RandomData
-
Returns a two dimensional array of pseudorandom, uniformly
distributed short values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomShortArray(int, short, short, int) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed short values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRandomShortArray(int, short, short, MersenneTwister) - Static method in class org.openimaj.data.RandomData
-
Returns a one dimensional array of pseudorandom, uniformly
distributed short values between min (inclusive) and
max (exclusive), drawn from this random number generator's sequence.
- getRank() - Method in interface org.openimaj.experiment.evaluation.retrieval.Ranked
-
- getRate(int, int, PTYPE) - Method in class org.openimaj.workinprogress.optimisation.EpochAnnealedLearningRate
-
- getRate(int, int, PTYPE) - Method in class org.openimaj.workinprogress.optimisation.LearningRate
-
- getRate(int, int, PTYPE) - Method in class org.openimaj.workinprogress.optimisation.StaticLearningRate
-
- getRateLimitStatus() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getRawString() - Method in class org.openimaj.text.nlp.textpipe.annotations.TokenAnnotation
-
- getRawString() - Method in interface org.openimaj.text.nlp.tokenisation.ReversableToken
-
- getRawStringFromTest(String) - Static method in class org.openimaj.text.nlp.namedentity.YagoCompanyAnnotatorEvaluator
-
- getRE() - Method in class org.openimaj.math.util.Complex
-
Return the real part.
- getReadability(String) - Static method in class org.openimaj.web.readability.Readability
-
Convenience method to build a
Readability
instance from an html
string.
- getReadability(String, boolean) - Static method in class org.openimaj.web.readability.Readability
-
Convenience method to build a
Readability
instance from an html
string.
- getReal() - Method in class org.openimaj.image.processing.algorithm.FourierTransformComplex
-
- getReals() - Method in class org.openimaj.audio.analysis.FourierTransform
-
Returns just the real numbers from the last FFT.
- getRecogniser() - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- getRecordWriter(TaskAttemptContext) - Method in class org.openimaj.hadoop.sequencefile.MetadataSequenceFileOutputFormat
-
- getRedirect(HttpRequest, HttpResponse, HttpContext) - Method in class org.openimaj.io.HttpUtils.MetaRefreshRedirectStrategy
-
- getReducerFiles(String) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get a list of all the reducer outputs in a directory.
- getReference() - Method in interface orgrdfs.sioc.ns.Post
-
- getReference() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getReferenceConnections() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Get the reference connections
- getReferences() - Static method in class org.openimaj.citation.ReferenceListener
-
Get a copy of the references collected by the listener
- getReferenceTriangles() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Get the reference triangles
- getReferenceType(String) - Static method in enum org.openimaj.citation.annotation.ReferenceType
-
- getReg() - Method in class org.openimaj.ml.timeseries.aggregator.WindowedLinearRegressionAggregator
-
- getRegex() - Method in class org.openimaj.hardware.serial.SerialDevice
-
Returns the regular expression being used to split incoming strings.
- getRegression() - Method in class org.openimaj.ml.timeseries.aggregator.WindowedLinearRegressionAggregator
-
- getRegression() - Method in class org.openimaj.ml.timeseries.processor.LinearRegressionProcessor
-
- getRegression() - Method in class org.openimaj.ml.timeseries.processor.WindowedLinearRegressionProcessor
-
- getRegroupedDataset(GroupedDataset<ANN, DATASET, INSTANCE>, Map<ANN, ANN[]>) - Static method in class org.openimaj.experiment.dataset.util.DatasetAdaptors
-
Takes a grouped dataset and returns a new dataset with the groups
re-shuffled as specified in the regrouping criteria.
- getRelativeIndexList() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
- getRelativeKeypoints(List<Keypoint>, float, float) - Static method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
Create a list of
Keypoint
s from the input list, but with the
positions offset by the given amount.
- getRelativePixelTransformer(int, int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Returns a data pixel transformer that is based on this axes renderer but has its values
offset by the given number of pixels.
- getRelease() - Method in class org.openimaj.audio.generation.Synthesizer
-
Get the release time in milliseconds
- getRender() - Method in class org.openimaj.tools.web.LayoutExtractorTool
-
- getRenderer(ImageRenderer<T, ?>) - Method in interface org.openimaj.image.typography.Font
-
Get a font renderer suitable for rendering this font to the given image renderer.
- getRenderer(ImageRenderer<T, ?>) - Method in class org.openimaj.image.typography.FontStyle
-
Get the renderer suitable for rendering text with this style into the
given image.
- getRenderer(ImageRenderer<T, ?>) - Method in class org.openimaj.image.typography.general.GeneralFont
-
Get a font renderer suitable for rendering this font to the given image renderer.
- getRenderer(ImageRenderer<T, ?>) - Method in enum org.openimaj.image.typography.hershey.HersheyFont
-
- getRenderer(ImageRenderer<T, ?>) - Method in class org.openimaj.image.typography.mathml.MathMLFont
-
- getRenderHints() - Method in class org.openimaj.image.renderer.ImageRenderer
-
Get the render hints object associated with this renderer
- getRenderingConfig() - Method in class org.openimaj.vis.general.AxisConfig
-
- getReply_of() - Method in interface orgrdfs.sioc.ns.Item
-
- getReply_of() - Method in class orgrdfs.sioc.ns.ItemImpl
-
- getReply_of() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getRequiredSize() - Method in interface org.openimaj.vis.timeline.TimelineObject
-
Returns the size that this object wishes to be.
- getRequiredSize() - Method in class org.openimaj.vis.VisualisationImpl
-
Get the current required size of the vis
- getResponse() - Method in class org.openimaj.image.feature.global.Gist
-
- getResponse(int, int) - Method in class org.openimaj.image.processing.convolution.filterbank.FilterBank
-
Get the response vector for a given pixel.
- getResponseCurve(int, double) - Method in class org.openimaj.audio.filters.MelFilterBank
-
Returns a set of values that represent the response of this filter bank
when the linear frequency is split in the given number of bins.
- getResponseCurve(int, double) - Method in class org.openimaj.audio.filters.TriangularFilter
-
Returns a set of values that represent the response of this filter
when the linear frequency is split in the given number of bins.
- getResponseFV(int, int) - Method in class org.openimaj.image.processing.convolution.filterbank.FilterBank
-
Get the response vector for a given pixel as a
FloatFV
.
- getResponseImages() - Method in class org.openimaj.image.processing.convolution.filterbank.FilterBank
-
- getResponseMap() - Method in class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
- getResponseMap() - Method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
- getResponses() - Method in class org.openimaj.image.processing.convolution.filterbank.FilterBank
-
Build an array of responses for every pixel.
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.abort_call
-
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.confirm_call
-
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.delete_queue_call
-
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.flush_all_queues_call
-
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.flush_queue_call
-
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.get_call
-
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.get_version_call
-
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.peek_call
-
- getResult() - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient.put_call
-
- getResult(Class<Polygon>) - Method in class org.openimaj.math.geometry.shape.util.polygon.TopPolygonNode
-
- getRetweetCount() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getRetweetedStatus() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getROCData() - Method in class org.openimaj.experiment.evaluation.classification.analysers.roc.ROCResult
-
- getROCData(List<Results>) - Static method in class org.openimaj.image.processing.face.detection.benchmarking.Results
-
- getROI(int, int, int, int) - Method in class org.openimaj.image.model.landmark.FPatchLandmarkModel
-
- getROIMap() - Method in class org.openimaj.image.saliency.LuoTangSubjectRegion
-
- getRoll() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Returns the roll of the model (that is the spinning, standy on the head movement)
- getRoot() - Method in class org.openimaj.image.objectdetection.haar.StageTreeClassifier
-
Get the root
Stage
of the classifier
- getRoot() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
Get the root node of the tree
- getRoot() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
Get the root node of the tree
- getRoot() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
Get the root node of the tree
- getRoot() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
Get the root node of the tree
- getRoot() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
Get the root node of the tree
- getRoot() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
Get the root node of the tree
- getRotation() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- getRows() - Method in class org.openimaj.image.Image
-
Get the height of this image.
- getS() - Method in class no.uib.cipr.matrix.EconomySVD
-
Returns the singular values (stored in descending order)
- getSafeSearch() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getSaliencyComponents() - Method in class org.openimaj.image.saliency.YehSaliency
-
Get a map of component->saliency for all the components in
the image
- getSaliencyMap() - Method in class org.openimaj.image.saliency.AchantaSaliency
-
- getSaliencyMap() - Method in class org.openimaj.image.saliency.DepthOfFieldEstimator
-
- getSaliencyMap() - Method in class org.openimaj.image.saliency.LuoTangSubjectRegion
-
- getSaliencyMap() - Method in interface org.openimaj.image.saliency.SaliencyMapGenerator
-
Get the generated saliency map
- getSaliencyMap() - Method in class org.openimaj.image.saliency.YehSaliency
-
- getSampleBuffer() - Method in class org.openimaj.audio.SampleChunk
-
Returns an appropriate sample buffer for this sample chunk.
- getSampleChunk(int, double, double, int, AudioFormat) - Method in class org.openimaj.audio.generation.Oscillator.DummyOscillator
-
- getSampleChunk(int, double, double, int, AudioFormat) - Method in class org.openimaj.audio.generation.Oscillator.FrequencyModulatedOscillator
-
- getSampleChunk(int, double, double, int, AudioFormat) - Method in interface org.openimaj.audio.generation.Oscillator
-
- getSampleChunk(int, double, double, int, AudioFormat) - Method in class org.openimaj.audio.generation.Oscillator.NoiseOscillator
-
- getSampleChunk(int, double, double, int, AudioFormat) - Method in class org.openimaj.audio.generation.Oscillator.SawOscillator
-
- getSampleChunk(int, double, double, int, AudioFormat) - Method in class org.openimaj.audio.generation.Oscillator.SineOscillator
-
- getSampleChunk(int, double, double, int, AudioFormat) - Method in class org.openimaj.audio.generation.Oscillator.SquareOscillator
-
- getSampleChunk() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns NULL.
- getSampleChunk(int) - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns NULL.
- getSampleChunk() - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Return a sample chunk that contains the data from this sample buffer.
- getSampleChunk(int) - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Return a sample chunk that contains the data from a specific channel in
this sample buffer.
- getSampleChunk() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Return a sample chunk that contains the data from this sample buffer.
- getSampleChunk(int) - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Return a sample chunk that contains the data from a specific channel in
this sample buffer.
- getSampleChunk() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Return a sample chunk that contains the data from this sample buffer.
- getSampleChunk(int) - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Return a sample chunk that contains the data from a specific channel in
this sample buffer.
- getSampleKeypoints() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getSampleLine(Line2d, FImage, int) - Method in enum org.openimaj.image.pixel.sampling.FLineSampler
-
- getSampleLine(Line2d, I, int) - Method in interface org.openimaj.image.pixel.sampling.LineSampler
-
Get the a line representing the extremities of
the pixels that are actually sampled.
- getSampler() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- getSampler() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- getSampleRateKHz() - Method in class org.openimaj.audio.AudioFormat
-
Get the rate at which the audio should be replayed
- getSamples() - Method in class org.openimaj.audio.SampleChunk
-
Get the samples in this sample chunk
- getSamples() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getSamplesAsByteBuffer() - Method in class org.openimaj.audio.SampleChunk
-
Returns a
ByteBuffer
that can be used to create views of the
samples in the object.
- getSamplesFile() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getSampleSlice(int, int) - Method in class org.openimaj.audio.SampleChunk
-
Return a slice of data from the sample array.
- getSamplingBox(Keypoint) - Static method in class org.openimaj.image.feature.local.keypoints.KeypointVisualizer
-
Get the sampling area of an single feature as a polygon.
- getSamplingBox(Keypoint, float) - Static method in class org.openimaj.image.feature.local.keypoints.KeypointVisualizer
-
Get the sampling area of an single feature as a polygon.
- getSamplingSize() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the size of the sampling window relative to the sampling scale.
- getSaturation() - Method in class org.openimaj.image.feature.global.Saturation
-
- getSaturationVariation() - Method in class org.openimaj.image.feature.global.SaturationVariation
-
- getScale() - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- getScale() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- getScale() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- getScale() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Returns the scale (size) of the face
- getScale() - Method in interface org.openimaj.math.geometry.point.ScaleSpacePoint
-
Get the scale associated with this point.
- getScaledBandwidth() - Method in class org.openimaj.math.statistics.distribution.MultivariateKernelDensityEstimate
-
Get the bandwidth scaled by the kernel support.
- getScaledIntrinsics(int, int) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Compute a scaled set of intrinsic parameters based on the given image
size.
- getScaledKeypoints(List<Keypoint>, int) - Static method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
Scale a list of keypoints by the given amount.
- getScaleFactor() - Method in class org.openimaj.image.objectdetection.haar.Detector
-
Get the scale factor (the amount to change between scales
(multiplicative)).
- getScaleFactor() - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- getScales() - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Get the number of scales in this octave minus extraScaleSteps.
- getScaling() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the value for weighting the scaling Gaussian of the orientation
histogram relative to the keypoint scale.
- getScalingFactor() - Method in class org.openimaj.audio.analysis.FourierTransform
-
Get the scaling factor in use.
- getScore() - Method in interface org.openimaj.experiment.evaluation.retrieval.Scored
-
- getScore() - Method in class org.openimaj.image.searching.ImageSearchResult
-
- getScoredEntitiesFromContext(INPUT) - Method in class org.openimaj.text.nlp.namedentity.EntityContextScorer
-
Given a context give the likelihoods of each entity.
- getScoredEntitiesFromContext(List<String>) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityContextScorerFactory.YagoEntityContextScorer
-
- getScoresForEntityList(List<String>, INPUT) - Method in class org.openimaj.text.nlp.namedentity.EntityContextScorer
-
Given the context give the likelihood of each entity limited by the
entityUris list
- getScoresForEntityList(List<String>, String) - Method in class org.openimaj.text.nlp.namedentity.EntityContextScorer
-
- getScoresForEntityList(List<String>, List<String>) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityContextScorerFactory.YagoEntityContextScorer
-
- getScoresForEntityList(List<String>, String) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityContextScorerFactory.YagoEntityContextScorer
-
- getScreen() - Method in class org.openimaj.video.VideoDisplay
-
Get the frame the video is being drawn to
- getSeaColour() - Method in class org.openimaj.vis.world.WorldMap
-
- getSearchAreaColour() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- getSearchAreaSize() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- getSearchBounds() - Method in class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
- getSearchBounds() - Method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
- getSecond() - Method in class org.openimaj.util.pair.ByteBytePair
-
Get the value of the second element
- getSecond(Iterable<ByteBytePair>) - Static method in class org.openimaj.util.pair.ByteBytePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ByteDoublePair
-
Get the value of the second element
- getSecond(Iterable<ByteDoublePair>) - Static method in class org.openimaj.util.pair.ByteDoublePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ByteFloatPair
-
Get the value of the second element
- getSecond(Iterable<ByteFloatPair>) - Static method in class org.openimaj.util.pair.ByteFloatPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ByteIntPair
-
Get the value of the second element
- getSecond(Iterable<ByteIntPair>) - Static method in class org.openimaj.util.pair.ByteIntPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ByteLongPair
-
Get the value of the second element
- getSecond(Iterable<ByteLongPair>) - Static method in class org.openimaj.util.pair.ByteLongPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ByteObjectPair
-
Get the value of the second element
- getSecond(Iterable<ByteObjectPair<Q>>) - Static method in class org.openimaj.util.pair.ByteObjectPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ByteShortPair
-
Get the value of the second element
- getSecond(Iterable<ByteShortPair>) - Static method in class org.openimaj.util.pair.ByteShortPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.DoubleBytePair
-
Get the value of the second element
- getSecond(Iterable<DoubleBytePair>) - Static method in class org.openimaj.util.pair.DoubleBytePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.DoubleDoublePair
-
Get the value of the second element
- getSecond(Iterable<DoubleDoublePair>) - Static method in class org.openimaj.util.pair.DoubleDoublePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.DoubleFloatPair
-
Get the value of the second element
- getSecond(Iterable<DoubleFloatPair>) - Static method in class org.openimaj.util.pair.DoubleFloatPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.DoubleIntPair
-
Get the value of the second element
- getSecond(Iterable<DoubleIntPair>) - Static method in class org.openimaj.util.pair.DoubleIntPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.DoubleLongPair
-
Get the value of the second element
- getSecond(Iterable<DoubleLongPair>) - Static method in class org.openimaj.util.pair.DoubleLongPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.DoubleObjectPair
-
Get the value of the second element
- getSecond(Iterable<DoubleObjectPair<Q>>) - Static method in class org.openimaj.util.pair.DoubleObjectPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.DoubleShortPair
-
Get the value of the second element
- getSecond(Iterable<DoubleShortPair>) - Static method in class org.openimaj.util.pair.DoubleShortPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.FloatBytePair
-
Get the value of the second element
- getSecond(Iterable<FloatBytePair>) - Static method in class org.openimaj.util.pair.FloatBytePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.FloatDoublePair
-
Get the value of the second element
- getSecond(Iterable<FloatDoublePair>) - Static method in class org.openimaj.util.pair.FloatDoublePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.FloatFloatPair
-
Get the value of the second element
- getSecond(Iterable<FloatFloatPair>) - Static method in class org.openimaj.util.pair.FloatFloatPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.FloatIntPair
-
Get the value of the second element
- getSecond(Iterable<FloatIntPair>) - Static method in class org.openimaj.util.pair.FloatIntPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.FloatLongPair
-
Get the value of the second element
- getSecond(Iterable<FloatLongPair>) - Static method in class org.openimaj.util.pair.FloatLongPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.FloatObjectPair
-
Get the value of the second element
- getSecond(Iterable<FloatObjectPair<Q>>) - Static method in class org.openimaj.util.pair.FloatObjectPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.FloatShortPair
-
Get the value of the second element
- getSecond(Iterable<FloatShortPair>) - Static method in class org.openimaj.util.pair.FloatShortPair
-
Extract the second values from a list of pairs.
- getSecond(Iterable<? extends IndependentPair<T, Q>>) - Static method in class org.openimaj.util.pair.IndependentPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.IntBytePair
-
Get the value of the second element
- getSecond(Iterable<IntBytePair>) - Static method in class org.openimaj.util.pair.IntBytePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.IntDoublePair
-
Get the value of the second element
- getSecond(Iterable<IntDoublePair>) - Static method in class org.openimaj.util.pair.IntDoublePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.IntFloatPair
-
Get the value of the second element
- getSecond(Iterable<IntFloatPair>) - Static method in class org.openimaj.util.pair.IntFloatPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.IntIntPair
-
Get the value of the second element
- getSecond(Iterable<IntIntPair>) - Static method in class org.openimaj.util.pair.IntIntPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.IntLongPair
-
Get the value of the second element
- getSecond(Iterable<IntLongPair>) - Static method in class org.openimaj.util.pair.IntLongPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.IntObjectPair
-
Get the value of the second element
- getSecond(Iterable<IntObjectPair<Q>>) - Static method in class org.openimaj.util.pair.IntObjectPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.IntShortPair
-
Get the value of the second element
- getSecond(Iterable<IntShortPair>) - Static method in class org.openimaj.util.pair.IntShortPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.LongBytePair
-
Get the value of the second element
- getSecond(Iterable<LongBytePair>) - Static method in class org.openimaj.util.pair.LongBytePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.LongDoublePair
-
Get the value of the second element
- getSecond(Iterable<LongDoublePair>) - Static method in class org.openimaj.util.pair.LongDoublePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.LongFloatPair
-
Get the value of the second element
- getSecond(Iterable<LongFloatPair>) - Static method in class org.openimaj.util.pair.LongFloatPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.LongIntPair
-
Get the value of the second element
- getSecond(Iterable<LongIntPair>) - Static method in class org.openimaj.util.pair.LongIntPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.LongLongPair
-
Get the value of the second element
- getSecond(Iterable<LongLongPair>) - Static method in class org.openimaj.util.pair.LongLongPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.LongObjectPair
-
Get the value of the second element
- getSecond(Iterable<LongObjectPair<Q>>) - Static method in class org.openimaj.util.pair.LongObjectPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.LongShortPair
-
Get the value of the second element
- getSecond(Iterable<LongShortPair>) - Static method in class org.openimaj.util.pair.LongShortPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ObjectBytePair
-
Get the value of the second element
- getSecond(Iterable<ObjectBytePair<Q>>) - Static method in class org.openimaj.util.pair.ObjectBytePair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ObjectDoublePair
-
Get the value of the second element
- getSecond(Iterable<ObjectDoublePair<Q>>) - Static method in class org.openimaj.util.pair.ObjectDoublePair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ObjectFloatPair
-
Get the value of the second element
- getSecond(Iterable<ObjectFloatPair<Q>>) - Static method in class org.openimaj.util.pair.ObjectFloatPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ObjectIntPair
-
Get the value of the second element
- getSecond(Iterable<ObjectIntPair<Q>>) - Static method in class org.openimaj.util.pair.ObjectIntPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ObjectLongPair
-
Get the value of the second element
- getSecond(Iterable<ObjectLongPair<Q>>) - Static method in class org.openimaj.util.pair.ObjectLongPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ObjectShortPair
-
Get the value of the second element
- getSecond(Iterable<ObjectShortPair<Q>>) - Static method in class org.openimaj.util.pair.ObjectShortPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ShortBytePair
-
Get the value of the second element
- getSecond(Iterable<ShortBytePair>) - Static method in class org.openimaj.util.pair.ShortBytePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ShortDoublePair
-
Get the value of the second element
- getSecond(Iterable<ShortDoublePair>) - Static method in class org.openimaj.util.pair.ShortDoublePair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ShortFloatPair
-
Get the value of the second element
- getSecond(Iterable<ShortFloatPair>) - Static method in class org.openimaj.util.pair.ShortFloatPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ShortIntPair
-
Get the value of the second element
- getSecond(Iterable<ShortIntPair>) - Static method in class org.openimaj.util.pair.ShortIntPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ShortLongPair
-
Get the value of the second element
- getSecond(Iterable<ShortLongPair>) - Static method in class org.openimaj.util.pair.ShortLongPair
-
Extract the second values from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ShortObjectPair
-
Get the value of the second element
- getSecond(Iterable<ShortObjectPair<Q>>) - Static method in class org.openimaj.util.pair.ShortObjectPair
-
Extract the second objects from a list of pairs.
- getSecond() - Method in class org.openimaj.util.pair.ShortShortPair
-
Get the value of the second element
- getSecond(Iterable<ShortShortPair>) - Static method in class org.openimaj.util.pair.ShortShortPair
-
Extract the second values from a list of pairs.
- getSecondFunction() - Static method in class org.openimaj.util.pair.IndependentPair
-
Get the function that returns the second object from the pair
- getSecondMomentsAt(int, int) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- getSecondObject() - Method in class org.openimaj.util.pair.IndependentPair
-
- getSeconds() - Method in class org.openimaj.video.timecode.HrsMinSecFrameTimecode
-
Get the number of seconds within the minute.
- getSecret() - Method in class org.openimaj.web.flickr.FlickrImage
-
- getSentenceAnnotations(String) - Method in class org.openimaj.text.nlp.textpipe.annotators.AbstractSentenceAnnotator
-
- getSentenceAnnotations(String) - Method in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPSentenceAnnotator
-
- getSequenceFilePath() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- getSerialPorts() - Static method in class org.openimaj.hardware.serial.SerialDevice
-
- getServer() - Method in class org.openimaj.web.flickr.FlickrImage
-
- getShape() - Method in class org.openimaj.image.processing.face.detection.CCDetectedFace
-
- getShape() - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
Get the shape of the detection.
- getShape() - Method in class org.openimaj.image.processing.face.detection.EllipticalDetectedFace
-
- getShapeMatrix() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Get the matrix of points describing the model.
- getShapeParameters() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Get the parameters describing the shape model (i.e.
- getShapes() - Method in class org.openimaj.text.geo.WorldPlace
-
- getShapes() - Method in class org.openimaj.text.geo.WorldPolygons
-
- getShapes() - Method in class org.openimaj.vis.world.WorldPlace
-
- getShapes() - Method in class org.openimaj.vis.world.WorldPolygons
-
- getSharpness() - Method in class org.openimaj.image.feature.global.Sharpness
-
- getSharpnessVariation() - Method in class org.openimaj.image.feature.global.SharpnessVariation
-
- getShearJitter() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the amount of shear jitter in use.
- getShotBoundaries() - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Get the list of shot boundaries that have been extracted so far.
- getSignalToInterferenceMatrix() - Method in class org.openimaj.math.matrix.algorithm.ica.IndependentComponentAnalysis
-
- getSignalToInterferenceMatrix() - Method in class org.openimaj.math.matrix.algorithm.ica.SymmetricFastICA
-
- getSimilarityDictionary() - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
- getSimilarityMatrix(boolean) - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
- getSingleImage(String) - Method in class org.openimaj.web.scraping.images.ImgurClient
-
Calls http://api.imgur.com/2/image/:HASH
- getSize() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getSize(String, Q) - Method in class org.openimaj.image.typography.FontRenderer
-
Calculate the bounding box of the rendered text with the given style.
- getSize(String, GeneralFontStyle<T>) - Method in class org.openimaj.image.typography.general.GeneralFontRenderer
-
Calculate the bounding box of the rendered text with the given style.
- getSize(String, MathMLFontStyle<T>) - Method in class org.openimaj.image.typography.mathml.MathMLFontRenderer
-
- getSize() - Method in class org.openimaj.web.flickr.FlickrImage
-
- getSizeJitter() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the amount of size jitter in use.
- getSizes() - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
Get the bin sizes
- getSkewFactor() - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Get the skew factor.
- getSkinModel() - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- getSkinThreshold() - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- getSleep() - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloaderOptions
-
- getSmatrix() - Method in class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
- getSmatrixSqrt() - Method in class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
- getSmoothingIterations() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the number of iterations of the smoothing filter.
- getSmoothSpectrum(double, HomogeneousKernelMap) - Method in enum org.openimaj.ml.kernel.HomogeneousKernelMap.WindowType
-
- getSortedClassesAndConfidences(ClassificationResult<CLASS>) - Static method in class org.openimaj.experiment.evaluation.classification.ClassificationResultUtils
-
Get the all classes and confidences, sorted by decreasing confidence
- getSortedPoint2dSet(List<Point2d>) - Static method in class org.openimaj.math.geometry.shape.util.GrahamScan
-
Returns a sorted set of Point2ds from the list Point2ds
.
- getSortedResponseIndices(int) - Method in class org.openimaj.image.objectdetection.haar.training.BasicTrainingData
-
- getSortedResponseIndices(int) - Method in class org.openimaj.image.objectdetection.haar.training.CachedTrainingData
-
- getSortedResponseIndices(int) - Method in interface org.openimaj.ml.classification.LabelledDataProvider
-
Get the indices of the responses corresponding to a specific dimension
for all items ordered such that the responses are ascending.
- getSource() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getSpace_of() - Method in class orgrdfs.sioc.ns.SiteImpl
-
- getSpace_of() - Method in interface orgrdfs.sioc.ns.Space
-
- getSpace_of() - Method in class orgrdfs.sioc.ns.SpaceImpl
-
- getSpectrum(double) - Method in enum org.openimaj.ml.kernel.HomogeneousKernelMap.KernelType
-
- getSplit(int) - Method in interface org.openimaj.experiment.dataset.split.KWaySplitProvider
-
Get the ith split
- getStagePaths(String) - Method in class org.openimaj.hadoop.mapreduce.MultiStagedJob
-
- getStandardDeviations(double) - Method in class org.openimaj.math.geometry.shape.PointDistributionModel
-
Compute the standard deviations of the shape components, multiplied by
the given value.
- getStandardDeviations() - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Get the standard deviations (sqrt of eigenvalues) of the principal
components.
- getStandardDeviations(int) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Get the standard deviations (sqrt of eigenvalues) of the n top principal
components.
- getStart() - Method in class org.openimaj.text.nlp.textpipe.annotations.NamedEntityAnnotation
-
Get the start char the matching substring for this Named Entity.
- getStartIndex() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
- getStartTimecode() - Method in class org.openimaj.audio.SampleChunk
-
Get the timecode at the start of this audio chunk.
- getStartTimecode() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns the timecode of the start of this sample buffer.
- getStartTimecode() - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Returns the timecode of the start of this sample buffer.
- getStartTimecode() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
- getStartTimecode() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
- getStartTimecode() - Method in class org.openimaj.video.processing.shotdetector.FadeShotBoundary
-
Get the timecode at the start of the fade.
- getStartTimeMilliseconds() - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation
-
Returns the start time of the timeline object in the timeline.
- getStartTimeMilliseconds() - Method in interface org.openimaj.vis.timeline.TimelineObject
-
Returns the start time of the timeline object in the timeline.
- getStartTimeMilliseconds() - Method in class org.openimaj.vis.timeline.TimelineObjectAdapter
-
Returns the start time of the timeline object in the timeline.
- getStatusType() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
- getStepFactor() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getStoredSamples() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
- getStoredSamples(int[]) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
Get the stored samples
- getStoredSamples(int, int) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
Get the stored samples
- getStringPOSsFromTokenAnnotationList(List<TokenAnnotation>) - Static method in class org.openimaj.text.nlp.textpipe.annotations.AnnotationUtils
-
- getStringToken() - Method in class org.openimaj.text.nlp.textpipe.annotations.TokenAnnotation
-
- getStringTokens() - Method in class org.openimaj.text.nlp.EntityTweetTokeniser
-
- getStringTokens() - Method in class org.openimaj.text.nlp.TweetTokeniser
-
- getStringTokensFromTokenAnnotationList(List<TokenAnnotation>) - Static method in class org.openimaj.text.nlp.textpipe.annotations.AnnotationUtils
-
- getStringValues() - Method in class org.kohsuke.args4j.spi.FieldGetter
-
- getStringValues() - Method in interface org.kohsuke.args4j.spi.Getter
-
A
Getter
object has an implicit knowledge about the property it's setting,
and the instance of the option bean.
- getStringValues() - Method in class org.kohsuke.args4j.spi.MapGetter
-
- getStringValues() - Method in class org.kohsuke.args4j.spi.MultiValueFieldGetter
-
- getStrokeColour(int) - Method in class org.openimaj.vis.general.BarVisualisation
-
- getStrokeColour(int) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- getStrokeColour(int) - Method in interface org.openimaj.vis.general.StrokeColourProvider
-
- getStrokeWidth() - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- getSubject() - Method in interface orgrdfs.sioc.ns.Post
-
- getSubject() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getSubsampling() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getSubscriber_of() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getSubscriber_of() - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- getSubsets() - Method in class org.openimaj.util.set.DisjointSetForest
-
Get all the subsets stored in this forest.
- getSummaryData() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalResult
-
- getSummaryReport(String, String) - Method in interface org.openimaj.experiment.evaluation.AnalysisResult
-
Get a JasperPrint
summarising the result.
- getSummaryReport() - Method in interface org.openimaj.experiment.evaluation.AnalysisResult
-
Get a
String
summarising the result.
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMResult
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMResult
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.classification.analysers.roc.ROCResult
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.classification.analysers.roc.ROCResult
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.NMIAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.NMIAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.PurityAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.PurityAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.cluster.RangedAnalysisResult
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.cluster.RangedAnalysisResult
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalResult
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalResult
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.PrecisionAtNResult
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.PrecisionAtNResult
-
- getSummaryReport(String, String) - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.TRECResult
-
- getSummaryReport() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.TRECResult
-
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.BellFilter
-
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.BlackmanFilter
-
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.BoxFilter
-
Returns the defaultSupport
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.BSplineFilter
-
Returns the defaultSupport
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.CatmullRomFilter
-
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.HammingFilter
-
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.HanningFilter
-
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.HermiteFilter
-
Returns the defaultSupport
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.Lanczos3Filter
-
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.MitchellFilter
-
Returns the defaultSupport
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.PointFilter
-
- getSupport() - Method in class org.openimaj.image.processing.resize.filters.TriangleFilter
-
- getSupport() - Method in interface org.openimaj.image.processing.resize.ResizeFilterFunction
-
Returns the support width for the filter function.
- getSupport(double[]) - Method in class org.openimaj.math.statistics.distribution.MultivariateKernelDensityEstimate
-
Get the underlying points that support the KDE within the window around
the given point.
- getSupportHeight(Set<Pixel>) - Static method in class org.openimaj.image.processing.algorithm.FilterSupport
-
Get the height of the support region
- getSupports() - Method in class org.openimaj.ml.linear.learner.perceptron.DoubleArrayKernelPerceptron
-
- getSupports() - Method in class org.openimaj.ml.linear.learner.perceptron.KernelPerceptron
-
- getSupports() - Method in class org.openimaj.ml.linear.learner.perceptron.MeanCenteredKernelPerceptron
-
- getSupports() - Method in class org.openimaj.ml.linear.learner.perceptron.MeanCenteredProjectron
-
- getSupportWidth(Set<Pixel>) - Static method in class org.openimaj.image.processing.algorithm.FilterSupport
-
Get the width of the support region
- getSustain() - Method in class org.openimaj.audio.generation.Synthesizer
-
Get the ADSR sustain gain
- getTargetArea() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getTasks() - Method in class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator
-
- getTemplate() - Method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
- Getter<T> - Interface in org.kohsuke.args4j.spi
-
Abstraction of the value setter.
- getTernaryPattern() - Method in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- Getters - Class in org.kohsuke.args4j.spi
-
Factory of Setter
s.
- Getters() - Constructor for class org.kohsuke.args4j.spi.Getters
-
- getTestClusters() - Method in class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader
-
- getTestData() - Method in class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader
-
- getTestDataset() - Method in class org.openimaj.experiment.dataset.split.GroupedRandomSplitter
-
- getTestDataset() - Method in interface org.openimaj.experiment.dataset.split.TestSplitProvider
-
- getTestDataset() - Method in class org.openimaj.image.annotation.evaluation.dataset.StandardCorel5kSplit
-
- getTestImages(BinaryReader<IMAGE>, boolean) - Static method in class org.openimaj.image.annotation.evaluation.datasets.CIFAR100Dataset
-
Load the test images using the given reader.
- getTestImages(BinaryReader<IMAGE>) - Static method in class org.openimaj.image.annotation.evaluation.datasets.CIFAR10Dataset
-
Load the test images using the given reader.
- getTestStats() - Method in class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader
-
- getText() - Method in class org.openimaj.image.text.extraction.TextExtractor
-
Get text that can be extracted from an image.
- getText() - Method in class org.openimaj.image.text.ocr.OCRProcessor
-
After processing, this method should return a set of bounding boxes of
regions within the image mapped to a String that contains the recognised
text.
- getText() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getText() - Method in class org.openimaj.web.readability.Anchor
-
- getText() - Method in class org.openimaj.web.readability.Readability.MappingNode
-
- getTextBasePad() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getTextColour() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getTextColour() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- getTextRegions() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Returns a map of bounding box to image and textual string.
- getTextRegions() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale
-
Get the text regions that can be extracted from an image.
- getTextRegions() - Method in class org.openimaj.image.text.extraction.TextExtractor
-
Get the text regions that can be extracted from an image.
- getTextSize() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getTextSize() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- getTextString() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get the text string in use.
- getTextStrings() - Method in class org.openimaj.image.text.extraction.TextExtractor
-
If you're not interested in where the strings are located in the image
you can use this method to simply get a list of extracted strings.
- getTextStrokeColour() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getTextStrokeColour() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- getThickness() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- getThreadPool() - Method in class org.openimaj.tools.localfeature.options.BatchExtractorOptions
-
Get the thread pool to use for performing operations
- getThreadsBeginN_1D_FFT_2Threads() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Returns the minimal size of 1D data for which two threads are used.
- getThreadsBeginN_1D_FFT_4Threads() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Returns the minimal size of 1D data for which four threads are used.
- getThreadsBeginN_2D() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Returns the minimal size of 2D data for which threads are used.
- getThreadsBeginN_3D() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Returns the minimal size of 3D data for which threads are used.
- getThreshold() - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Get the threshold above which an edge pixel will be considered an edge.
- getThreshold() - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Returns the current threshold value.
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Item._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.abort_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.abort_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.confirm_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.confirm_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.get_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.get_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.get_version_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.get_version_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.peek_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.peek_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.put_args._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.Kestrel.put_result._Fields
-
- getThriftFieldId() - Method in enum net.lag.kestrel.thrift.QueueInfo._Fields
-
- getThumbnailSize() - Method in class org.openimaj.vis.general.ImageThumbnailPlotter
-
- getTicks() - Method in class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Returns the number of ticks in the current beat.
- getTicksPerBeat() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Returns the number of ticks per beat
- getTilt() - Method in class org.openimaj.hardware.kinect.KinectController
-
Get the current angle in degrees
- getTiltStatus() - Method in class org.openimaj.hardware.kinect.KinectController
-
Determine the current tilt status of the device
- getTime() - Method in class org.openimaj.audio.AudioPlayer
-
Returns the current time.
- getTime() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Returns the current time.
- getTime(long, long, long) - Static method in class org.openimaj.ml.timeseries.processor.interpolation.util.TimeSpanUtils
-
Get
- getTime(long, long, int) - Static method in class org.openimaj.ml.timeseries.processor.interpolation.util.TimeSpanUtils
-
- getTime(long, int, long) - Static method in class org.openimaj.ml.timeseries.processor.interpolation.util.TimeSpanUtils
-
- getTime() - Method in interface org.openimaj.time.TimeKeeper
-
Returns the current time.
- getTime() - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Returns the current time.
- getTimeBeforeSkip() - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- getTimecode() - Method in class org.openimaj.video.processing.shotdetector.FadeShotBoundary
-
Get the timecode of this shot boundary.
- getTimecode() - Method in class org.openimaj.video.processing.shotdetector.ShotBoundary
-
Get the timecode of this shot boundary.
- getTimecode() - Method in class org.openimaj.video.processing.shotdetector.VideoKeyframe
-
Returns the timecode of this keyframe.
- getTimecodeInMilliseconds() - Method in class org.openimaj.audio.timecode.AudioTimecode
-
All timecode instances must be able to return the time in seconds
from the beginning of the temporal media.
- getTimecodeInMilliseconds() - Method in interface org.openimaj.time.Timecode
-
All timecode instances must be able to return the time in seconds
from the beginning of the temporal media.
- getTimecodeInMilliseconds() - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode
-
All timecode instances must be able to return the time in seconds
from the beginning of the temporal media.
- getTimecodeObject() - Method in class org.openimaj.audio.AudioPlayer
-
Returns the current timecode.
- getTimePosition(long) - Method in class org.openimaj.vis.timeline.Timeline
-
Find the position of the given time on the panel.
- getTimePosition(Timecode) - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Returns the position of the given timecode at the scale of the current
display.
- getTimePosition(int) - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Returns the position of the given frame at the scale of the current
display.
- getTimes() - Static method in class org.openimaj.experiment.agent.TimeTracker
-
Get a copy of all the accumulated data
- getTimes() - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- getTimes() - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- getTimes() - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- getTimes() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- getTimes() - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- getTimeScalar() - Method in class org.openimaj.vis.timeline.Timeline
-
Returns the scalar between milliseconds and pixels.
- getTimeStamp() - Method in class org.openimaj.hardware.kinect.KinectStream
-
Get the timestamp of the current frame
- getTimeStamp() - Method in class org.openimaj.video.AnimatedVideo
-
- getTimeStamp() - Method in class org.openimaj.video.ArrayBackedVideo
-
Get the timestamp of the current frame in milliseconds
- getTimeStamp() - Method in class org.openimaj.video.capture.VideoCapture
-
Get the timestamp of the current frame in milliseconds
- getTimeStamp() - Method in class org.openimaj.video.FileBackedVideo
-
Get the timestamp of the current frame in milliseconds
- getTimeStamp() - Method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- getTimeStamp() - Method in class org.openimaj.video.processor.VideoProcessor
-
Get the timestamp of the current frame in milliseconds
- getTimeStamp() - Method in class org.openimaj.video.translator.VideoTranslator
-
- getTimeStamp() - Method in class org.openimaj.video.Video
-
Get the timestamp of the current frame in milliseconds
- getTimeStamp() - Method in class org.openimaj.video.VideoWriter
-
Get the timestamp of the current frame in milliseconds
- getTimeStamp() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Get the timestamp of the current frame in milliseconds
- getTimeStamp() - Method in class org.openimaj.web.video.VGetVideo
-
- getTimingInfo() - Method in class org.openimaj.experiment.ExperimentContext
-
Get the timing information for the experiment.
- getTitle() - Method in class org.openimaj.web.readability.Readability
-
- getTitle() - Method in interface orgrdfs.sioc.ns.Post
-
- getTitle() - Method in class orgrdfs.sioc.ns.PostImpl
-
- getToken(Class<T>) - Method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
- getToken(Class<T>, String) - Method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
- getToken(Class<T>) - Method in interface org.openimaj.util.api.auth.TokenFactory
-
Get the default token for the given class.
- getToken(Class<T>, String) - Method in interface org.openimaj.util.api.auth.TokenFactory
-
Get the token for the given class, tagged with a specific name.
- getTokens() - Method in class org.openimaj.text.nlp.EntityTweetTokeniser
-
- getTokens() - Method in class org.openimaj.text.nlp.TweetTokeniser
-
- getTone() - Method in class org.openimaj.image.feature.global.HueStats
-
Estimate the tone of the image.
- getToolMode() - Method in class org.openimaj.tools.similaritymatrix.SimilarityMatrixToolOptions
-
- getTopLeft() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- getTrackedFaces() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- getTrackingContext() - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
- getTrackNumber() - Method in class org.openimaj.vis.timeline.Timeline.TimelineTrack
-
Return the number of this track.
- getTrainingData() - Static method in class org.openimaj.image.objectdetection.datasets.INRIAPersonDataset
-
- getTrainingDataset() - Method in class org.openimaj.experiment.dataset.split.GroupedRandomSplitter
-
- getTrainingDataset() - Method in interface org.openimaj.experiment.dataset.split.TrainSplitProvider
-
- getTrainingDataset() - Method in class org.openimaj.experiment.validation.DefaultValidationData
-
- getTrainingDataset() - Method in class org.openimaj.image.annotation.evaluation.dataset.StandardCorel5kSplit
-
- getTrainingImages(BinaryReader<IMAGE>, boolean) - Static method in class org.openimaj.image.annotation.evaluation.datasets.CIFAR100Dataset
-
Load the training images using the given reader.
- getTrainingImages(BinaryReader<IMAGE>) - Static method in class org.openimaj.image.annotation.evaluation.datasets.CIFAR10Dataset
-
Load the training images using the given reader.
- getTransform() - Method in class org.openimaj.image.feature.local.interest.EllipticInterestPointData
-
- getTransform() - Method in class org.openimaj.image.feature.local.interest.InterestPointData
-
- getTransform(Point2d) - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
- getTransform() - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel
-
- getTransform() - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel3d
-
- getTransform() - Method in class org.openimaj.math.geometry.transforms.HomographyModel
-
- getTransform() - Method in interface org.openimaj.math.geometry.transforms.MatrixTransformProvider
-
- getTransform() - Method in class org.openimaj.math.matrix.algorithm.whitening.PCAWhitening
-
Get the underlying whitening transform matrix.
- getTransform() - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Get the transform matrix W
- getTransform3(List<Pair<Point2d>>) - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
- getTransform4(List<Pair<Point2d>>) - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
- getTransformer() - Method in class org.openimaj.vis.general.BarVisualisation
-
- getTranslationX() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Returns the x-translation in the model
- getTranslationY() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Returns the y-translation in the model
- getTree() - Method in class org.openimaj.image.analysis.watershed.MergeTreeBuilder
-
Return the tree that has been built.
- getTreeFile() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getTreeFile() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- getTrees() - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- getTriangle() - Method in class org.openimaj.math.geometry.shape.algorithm.ConvexityDefect
-
Get the triangle represented by this defect.
- getTriangles(MultiTracker.TrackedFace) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Get the triangle mesh corresponding to a tracked face.
- getTriangles(Matrix, Matrix, int[][]) - Static method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Get the triangle mesh corresponding to a tracked face.
- getTurn(Point2d, Point2d, Point2d) - Static method in class org.openimaj.math.geometry.shape.util.GrahamScan
-
Returns the GrahamScan#Turn formed by traversing through the ordered Point2ds
a
, b
and c
.
- getTweetWordMap() - Method in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
- getTwitterStatusList() - Method in class org.openimaj.tools.twitter.options.TwitterPreprocessingToolOptions
-
- getType() - Method in class org.kohsuke.args4j.spi.AbstractGetter
-
- getType() - Method in interface org.kohsuke.args4j.spi.Getter
-
- getType() - Method in class org.openimaj.image.typography.general.GeneralFont
-
Get the font attributes
- getType(int, int, int, int) - Static method in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
- getTypeArguments(Class<T>, Class<? extends T>) - Static method in class org.openimaj.util.reflection.ReflectionUtils
-
Get the actual type arguments a child class has used to extend a generic
base class.
- getTyped(String) - Method in class org.openimaj.ml.linear.learner.LearningParameters
-
- getTyped(String) - Method in class org.openimaj.util.data.Context
-
Get the object from the context with the given key and coerce the type.
- getTyped(String) - Method in class org.openimaj.vis.ternary.TernaryParams
-
- getTypeName(URI) - Static method in class org.openimaj.rdf.owl2java.Generator
-
Returns the Java type name for a given URI
- getU() - Method in class no.uib.cipr.matrix.EconomySVD
-
Returns the left singular vectors, column-wise.
- getU() - Method in class org.openimaj.ml.linear.data.BiconvexDataGenerator
-
- getU() - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- getU() - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- getUnderlyingStorage() - Method in class org.openimaj.util.array.ByteArrayView
-
Get access to the underlying array of this view.
- getUnderlyingStorage() - Method in class org.openimaj.util.array.DoubleArrayView
-
Get access to the underlying array of this view.
- getUnderlyingStorage() - Method in class org.openimaj.util.array.FloatArrayView
-
Get access to the underlying array of this view.
- getUnderlyingStorage() - Method in class org.openimaj.util.array.IntArrayView
-
Get access to the underlying array of this view.
- getUnderlyingStorage() - Method in class org.openimaj.util.array.LongArrayView
-
Get access to the underlying array of this view.
- getUnderlyingStorage() - Method in class org.openimaj.util.array.ShortArrayView
-
Get access to the underlying array of this view.
- getUnderlyingStream() - Method in class org.openimaj.audio.processor.AudioProcessor
-
Get the underlying stream.
- getUniformPatterns(int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern
-
Get a list of all the binary patterns of a given length that are
"uniform".
- getUniqueRandomInts(int, int, int) - Static method in class org.openimaj.data.RandomData
-
Returns an array of N unique pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive).
- getUniqueRandomInts(int, int, int, Random) - Static method in class org.openimaj.data.RandomData
-
Returns an array of N unique pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive).
- getUniqueRandomIntsA(int, int, int) - Static method in class org.openimaj.data.RandomData
-
Returns an array of N unique pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive).
- getUniqueRandomIntsA(int, int, int, Random) - Static method in class org.openimaj.data.RandomData
-
Returns an array of N unique pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive).
- getUniqueRandomIntsS(int, int, int) - Static method in class org.openimaj.data.RandomData
-
Returns an array of N unique pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive).
- getUniqueRandomIntsS(int, int, int, Random) - Static method in class org.openimaj.data.RandomData
-
Returns an array of N unique pseudorandom, uniformly
distributed int values between min (inclusive) and
max (exclusive).
- getUnmodified() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalysis
-
- getUnprotectedStringTokens() - Method in class org.openimaj.text.nlp.EntityTweetTokeniser
-
- getUnprotectedStringTokens() - Method in class org.openimaj.text.nlp.TweetTokeniser
-
- getUnscaled(int) - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns the sample value at the given index without scaling - that is, at
it's original sample value.
- getUnscaled(int) - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Returns the sample value at the given index without scaling - that is, at
it's original sample value.
- getUnscaled(int) - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Returns the sample value at the given index without scaling - that is, at
it's original sample value.
- getUnscaled(int) - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Returns the sample value at the given index without scaling - that is, at
it's original sample value.
- getURI() - Method in interface comxmlns.foaf._0.Agent
-
- getURI() - Method in interface comxmlns.foaf._0.Document
-
- getURI() - Method in interface comxmlns.foaf._0.OnlineAccount
-
- getURI() - Method in class org.openimaj.rdf.owl2java.Something
-
Get the URI of this instance
- getURI() - Method in interface org.w3._2004._03.trix.rdfg_1.Graph
-
- getURI() - Method in interface orgrdfs.sioc.ns.Community
-
- getURI() - Method in interface orgrdfs.sioc.ns.Container
-
- getURI() - Method in interface orgrdfs.sioc.ns.Forum
-
- getURI() - Method in interface orgrdfs.sioc.ns.Item
-
- getURI() - Method in interface orgrdfs.sioc.ns.Post
-
- getURI() - Method in interface orgrdfs.sioc.ns.Role
-
- getURI() - Method in interface orgrdfs.sioc.ns.Site
-
- getURI() - Method in interface orgrdfs.sioc.ns.Space
-
- getURI() - Method in interface orgrdfs.sioc.ns.Thread
-
- getURI() - Method in interface orgrdfs.sioc.ns.UserAccount
-
- getURI() - Method in interface orgrdfs.sioc.ns.Usergroup
-
- getURIList(URI, RepositoryConnection) - Static method in class org.openimaj.rdf.owl2java.PropertyDef
-
For a given URI that represents a node in an RDF Collection, will returns
all the items in the list.
- getURIListBNode(MemBNode) - Static method in class org.openimaj.rdf.owl2java.PropertyDef
-
Gets a list of URIs from a bnode that's part of an RDF Collection.
- getURL(Photo) - Method in enum org.openimaj.image.dataset.FlickrImageDataset.Size
-
- getUrl() - Method in class org.openimaj.web.flickr.FlickrImage
-
- getURL() - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get the URL for the currently loaded page
- getURLEntities() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getUser() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getUsergroup_of() - Method in interface orgrdfs.sioc.ns.Usergroup
-
- getUsergroup_of() - Method in class orgrdfs.sioc.ns.UsergroupImpl
-
- getUserMentionEntities() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- getUsers() - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- getUUID() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get the UUID of this file
- getValidationDataset() - Method in class org.openimaj.experiment.dataset.split.GroupedRandomSplitter
-
- getValidationDataset() - Method in interface org.openimaj.experiment.dataset.split.ValidateSplitProvider
-
- getValidationDataset() - Method in class org.openimaj.experiment.validation.DefaultValidationData
-
- getValidClient() - Method in class org.openimaj.kestrel.KestrelServerSpec
-
Get a valid Kestrel client, reconnecting if necessary
- getVals() - Method in class org.openimaj.math.matrix.DiagonalMatrix
-
- getValue(T) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.WritableEnumCounter
-
- getValue() - Method in class org.openimaj.image.pixel.FValuePixel
-
- getValue() - Method in class org.openimaj.image.pixel.GenericValuePixel
-
- getValue() - Method in class org.openimaj.image.pixel.IntValuePixel
-
- getValue() - Method in class org.openimaj.image.pixel.ValuePixel
-
Get the value of this pixel.
- getValue() - Method in interface org.openimaj.util.tree.TreeNode
-
- getValue() - Method in class org.openimaj.util.tree.TreeNodeImpl
-
- getValueAt(int, int) - Method in class org.openimaj.vis.general.BarVisualisation
-
Returns the units value at the given pixel coordinate.
- getValueAt(int, int) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Returns the units value at the given pixel coordinate.
- getValueFunction(List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Method in enum org.openimaj.math.geometry.transforms.HomographyRefinement
-
- getValues() - Method in class org.openimaj.math.matrix.EigenValueVectorPair
-
- getValueThreshold() - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the threshold for the maximum value allowed in the histogram (default
0.2)
- getValVect() - Method in class org.openimaj.ml.clustering.spectral.SpectralIndexedClusters
-
- getVariance() - Method in class org.openimaj.video.processing.pixels.FMeanVarianceField
-
Get the variance field of all the frames that have been analysed so far.
- getVariance() - Method in class org.openimaj.video.processing.pixels.MBFMeanVarianceField
-
Get the variance field of all the frames that have been analysed so far.
- getVector() - Method in class org.openimaj.feature.ArrayFeatureVector
-
Get the underlying representation
- getVector() - Method in class org.openimaj.feature.EnumFV
-
- getVector() - Method in interface org.openimaj.feature.FeatureVector
-
Get the underlying data array.
- getVector() - Method in class org.openimaj.feature.MultidimensionalByteFV
-
Get the underlying flat-vector representation
- getVector() - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
Get the underlying flat-vector representation
- getVector() - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
Get the underlying flat-vector representation
- getVector() - Method in class org.openimaj.feature.MultidimensionalIntFV
-
Get the underlying flat-vector representation
- getVector() - Method in class org.openimaj.feature.MultidimensionalLongFV
-
Get the underlying flat-vector representation
- getVector() - Method in class org.openimaj.feature.MultidimensionalShortFV
-
Get the underlying flat-vector representation
- getVector() - Method in class org.openimaj.feature.SparseByteFV
-
- getVector() - Method in class org.openimaj.feature.SparseDoubleFV
-
- getVector() - Method in class org.openimaj.feature.SparseFloatFV
-
- getVector() - Method in class org.openimaj.feature.SparseIntFV
-
- getVector() - Method in class org.openimaj.feature.SparseLongFV
-
- getVector() - Method in class org.openimaj.feature.SparseShortFV
-
- getVector() - Method in class org.openimaj.tools.ocr.KNNCharacterClassifier.ImageTrainer
-
Retrieve the set of training data as a double array.
- getVectors() - Method in class org.openimaj.math.matrix.EigenValueVectorPair
-
- getVerbosity() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- getVersion() - Static method in class org.openimaj.OpenIMAJ
-
Get the OpenIMAJ version currently being used
- getVerticalAlignment() - Method in class org.openimaj.image.typography.FontStyle
-
- getVerticalGridElements() - Method in interface org.openimaj.image.processor.GridProcessor
-
Returns the number of rows in the grid.
- getVertices() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Get the vertices of the polygon
- getVideo() - Method in class org.openimaj.video.VideoDisplay
-
Get the video
- getVideo() - Method in class org.openimaj.video.VideoIterator
-
- getVideo() - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Return the data being shown by this bar.
- getVideoDevices() - Static method in class org.openimaj.video.capture.VideoCapture
-
Get a list of all compatible video devices attached to the machine.
- getVideoPlayerPanel() - Method in class org.openimaj.video.VideoPlayer
-
Returns a JPanel video player which can be incorporated into other GUIs.
- getViewIdx() - Method in class com.jsaragih.CLM
-
- getVisibility() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Get the visibility matrix
- getVisualisationImage() - Method in class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Return the static visualisation image.
- getVisualisationImage() - Method in class org.openimaj.vis.Visualisation3D
-
Return the static visualisation image.
- getVisualisationImage() - Method in interface org.openimaj.vis.VisualisationImageProvider
-
Return the static visualisation image.
- getVisualisationImage() - Method in class org.openimaj.vis.VisualisationImpl
-
Returns the image to which the bars will be drawn.
- getVLAD() - Method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
Get the
VLAD
aggregator instance
- getVocabulary() - Method in class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator
-
- getVocabulary() - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- getVolumeScalar() - Method in class org.openimaj.audio.analysis.PeakNormalisationCalculator
-
Returns the calculated peak scalar as it currently stands in the stream.
- getVt() - Method in class no.uib.cipr.matrix.EconomySVD
-
Returns the right singular vectors, row-wise.
- getW() - Method in class org.openimaj.ml.linear.data.BiconvexDataGenerator
-
- getW() - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- getW() - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- getWarpedImage(FacialKeypoint[], FImage, Matrix) - Method in class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
- getWeightAt(double) - Method in class org.openimaj.audio.filters.TriangularFilter
-
Returns the weighting provided by this filter at the given frequency (Hz).
- getWeights() - Method in class org.openimaj.audio.filters.WeightedWindowedAudioProcessor
-
Get the weights used.
- getWeights() - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Get the mixture weights for each gaussian.
- getWeights() - Method in class org.openimaj.ml.linear.learner.perceptron.DoubleArrayKernelPerceptron
-
- getWeights() - Method in class org.openimaj.ml.linear.learner.perceptron.KernelPerceptron
-
- getWeights() - Method in class org.openimaj.ml.linear.learner.perceptron.SimplePerceptron
-
- getWeightsMap() - Method in class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
Get the weights map
- getWidth() - Method in class org.openimaj.hardware.kinect.KinectStream
-
- getWidth() - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- getWidth() - Method in class org.openimaj.image.Image
-
Get the width (number of columns) in this image.
- getWidth() - Method in class org.openimaj.image.MultiBandImage
-
Get the width (number of columns) in this image.
- getWidth() - Method in class org.openimaj.image.objectdetection.haar.StageTreeClassifier
-
Get the classifier width
- getWidth() - Method in class org.openimaj.image.SingleBandImage
-
Get the width (number of columns) in this image.
- getWidth() - Method in class org.openimaj.image.SVGImage
-
- getWidth() - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
- getWidth() - Method in class org.openimaj.math.geometry.line.Line2d
-
- getWidth() - Method in class org.openimaj.math.geometry.point.PointList
-
- getWidth() - Method in class org.openimaj.math.geometry.shape.Circle
-
- getWidth() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- getWidth() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- getWidth() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- getWidth() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- getWidth() - Method in class org.openimaj.video.AnimatedVideo
-
- getWidth() - Method in class org.openimaj.video.ArrayBackedVideo
-
Get the width of the video frame
- getWidth() - Method in class org.openimaj.video.capture.VideoCapture
-
Get the width of the video frame
- getWidth() - Method in class org.openimaj.video.FileBackedVideo
-
Get the width of the video frame
- getWidth() - Method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- getWidth() - Method in class org.openimaj.video.processor.VideoProcessor
-
Get the width of the video frame
- getWidth() - Method in class org.openimaj.video.translator.VideoTranslator
-
- getWidth() - Method in class org.openimaj.video.Video
-
Get the width of the video frame
- getWidth() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Get the width of the video frame
- getWidth() - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get the width of the browser.
- getWidth() - Method in class org.openimaj.web.video.VGetVideo
-
- getWidthScale() - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- getWindowHeight() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getWindowSize() - Method in class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Returns the size of the sample window.
- getWindowStep() - Method in class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Returns the step of each overlapping window.
- getWindowSum(SampleChunk) - Method in class org.openimaj.audio.filters.WeightedWindowedAudioProcessor
-
The sum of the Hanning window
- getWindowSum(int, int) - Method in class org.openimaj.audio.filters.WeightedWindowedAudioProcessor
-
Get the sum of the Hanning window for the given parameters
- getWindowWidth() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- getWords() - Method in class org.openimaj.image.text.extraction.swt.LineCandidate
-
Get the words corresponding to this line
- getX() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- getX() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- getX() - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- getX() - Method in class org.openimaj.image.pixel.Pixel
- getX() - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- getX() - Method in interface org.openimaj.math.geometry.point.Point2d
-
- getX() - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- getX() - Method in interface org.openimaj.math.geometry.point.Point3d
-
- getX() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- getX() - Method in class org.openimaj.math.geometry.shape.Circle
-
- getX() - Method in class org.openimaj.video.tracking.klt.Feature
-
- getxAxisColour() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- getxAxisColour() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- getxAxisConfig() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- getxAxisName() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- getxAxisName() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- getxAxisPosition() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
The y position of the x axis.
- getxAxisRenderer() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- getxAxisRenderer() - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- getXOffset() - Method in class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
- getXOffset() - Method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
- getY() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- getY() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- getY() - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- getY() - Method in class org.openimaj.image.pixel.Pixel
- getY() - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- getY() - Method in interface org.openimaj.math.geometry.point.Point2d
-
- getY() - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- getY() - Method in interface org.openimaj.math.geometry.point.Point3d
-
- getY() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- getY() - Method in class org.openimaj.math.geometry.shape.Circle
-
- getY() - Method in class org.openimaj.video.tracking.klt.Feature
-
- getYaw() - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
Returns the yaw of the face (that is the side-to-side, shakey head movement).
- getyAxisColour() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- getyAxisColour() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- getyAxisConfig() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- getyAxisName() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- getyAxisName() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- getyAxisRenderer() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- getyAxisRenderer() - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- getYOffset() - Method in class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
- getYOffset() - Method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
- getYscale() - Method in class org.openimaj.vis.general.BarVisualisation
-
The y-scale being used to plot the data.
- getYscale() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
The y-scale being used to plot the data.
- getZ() - Method in interface org.openimaj.math.geometry.point.Point3d
-
- getZ() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- getzAxisColour() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- getzAxisColour() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- getzAxisName() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- getzAxisName() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- getzAxisRenderer() - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- Gist<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.feature.global
-
Implementation of the "Gist" spatial envelope feature.
- Gist() - Constructor for class org.openimaj.image.feature.global.Gist
-
Construct a fixed size Gist extractor using the default values.
- Gist(boolean) - Constructor for class org.openimaj.image.feature.global.Gist
-
Construct a variable or fixed size Gist extractor using the default
values.
- Gist(int, int) - Constructor for class org.openimaj.image.feature.global.Gist
-
Construct a fixed-size Gist extractor, with the given image size and the
default number of orientations per scale for the Gabor jet.
- Gist(int, int, int[]) - Constructor for class org.openimaj.image.feature.global.Gist
-
Construct a fixed-size Gist extractor, with the given image size and
number of orientations per scale for the Gabor jet.
- Gist(int[], boolean) - Constructor for class org.openimaj.image.feature.global.Gist
-
Construct a variable or fixed size Gist extractor with the given number
of orientations per scale for the Gabor jet.
- Gist(int, int, int[], boolean) - Constructor for class org.openimaj.image.feature.global.Gist
-
Construct a variable or fixed size Gist extractor with the given number
of orientations per scale for the Gabor jet.
- Gist(int[]) - Constructor for class org.openimaj.image.feature.global.Gist
-
- GLOBAL_STATS_FILE - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
where to find the global stats file
- GlobalExecutorPool - Class in org.openimaj.util.parallel
-
- GlobalExecutorPool() - Constructor for class org.openimaj.util.parallel.GlobalExecutorPool
-
- GlobalExecutorPool.DaemonThreadFactory - Class in org.openimaj.util.parallel
-
- GlobalFeatureExtractor - Class in org.openimaj.tools.globalfeature
-
Global feature extractors can enact based on an image and a mask
- GlobalFeatureExtractor() - Constructor for class org.openimaj.tools.globalfeature.GlobalFeatureExtractor
-
- GlobalFeaturesTool - Class in org.openimaj.tools.globalfeature
-
A tool for extracting global image features.
- GlobalFeaturesTool() - Constructor for class org.openimaj.tools.globalfeature.GlobalFeaturesTool
-
- GlobalFeatureType - Enum in org.openimaj.tools.globalfeature
-
Different types of global image feature.
- glu - Variable in class org.openimaj.vis.Visualisation3D
-
The GLU library we'll use
- glut - Variable in class org.openimaj.vis.Visualisation3D
-
The GLUT library we'll use
- GMMFromFeatures - Class in org.openimaj.experiment.gmm.retrieval
-
This function turns a list of features to a gaussian mixture model
- GMMFromFeatures() - Constructor for class org.openimaj.experiment.gmm.retrieval.GMMFromFeatures
-
- GMMFromFeatures(GaussianMixtureModelEM.CovarianceType) - Constructor for class org.openimaj.experiment.gmm.retrieval.GMMFromFeatures
-
- GMMFromFeatures(int) - Constructor for class org.openimaj.experiment.gmm.retrieval.GMMFromFeatures
-
- GMMFromFeatures(int, GaussianMixtureModelEM.CovarianceType) - Constructor for class org.openimaj.experiment.gmm.retrieval.GMMFromFeatures
-
- go() - Method in class org.openimaj.storm.tools.twitter.StormTwitterPreprocessingTool
-
- go() - Method in class org.openimaj.utils.threads.WatchedRunner
-
- GolayAlphabet - Class in org.openimaj.image.processing.morphology
-
The Golay Alphabet of morphological structuring elements
- GolayAlphabet() - Constructor for class org.openimaj.image.processing.morphology.GolayAlphabet
-
- GOLDEN_RATIO - Static variable in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
The golden ratio (for comparing facial height/width)
- GPC_DIFF - Static variable in class org.openimaj.math.geometry.shape.util.polygon.OperationType
-
- GPC_INT - Static variable in class org.openimaj.math.geometry.shape.util.polygon.OperationType
-
- GPC_UNION - Static variable in class org.openimaj.math.geometry.shape.util.polygon.OperationType
-
- GPC_XOR - Static variable in class org.openimaj.math.geometry.shape.util.polygon.OperationType
-
- GPSSerialReader - Class in org.openimaj.hardware.gps
-
This class reads GPS data from a serial port and makes available
the latest location information through its getters.
- GPSSerialReader(String) - Constructor for class org.openimaj.hardware.gps.GPSSerialReader
-
Constructor that takes the name of the serial port onto which
the GPS is transmitting data.
- grabArticle() - Method in class org.openimaj.web.readability.Readability
-
grabArticle - Using a variety of metrics (content score, classname,
element types), find the content that is most likely to be the stuff a
user wants to read.
- gradient(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.LossFunction
-
- gradient(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.MatLossFunction
-
- gradient(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.MatSquareLossFunction
-
- gradient(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.SquareLossFunction
-
- gradient(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.SquareMissingLossFunction
-
- gradient(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.LossFunction
-
- gradient(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.MatLossFunction
-
- gradient(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.MatSquareLossFunction
-
- GradientFeatureExtractor - Class in org.openimaj.image.feature.local.detector.dog.extractor
-
Class capable of extracting local descriptors from a circular region in an
image defined by its scale and centre.
- GradientFeatureExtractor(AbstractDominantOrientationExtractor, GradientFeatureProviderFactory) - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.GradientFeatureExtractor
-
Construct with the given orientation extractor and gradient feature
provider.
- GradientFeatureExtractor(AbstractDominantOrientationExtractor, GradientFeatureProviderFactory, float) - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.GradientFeatureExtractor
-
Construct with the given orientation extractor, gradient feature provider
and magnification factor determining the size of the sampling region
relative to the scale of the interest point.
- GradientFeatureProvider - Interface in org.openimaj.image.feature.local.descriptor.gradient
-
Interface for classes capable of building local descriptors from the gradient
(magnitude and orientation) information in an image patch.
- GradientFeatureProviderFactory - Interface in org.openimaj.image.feature.local.descriptor.gradient
-
Interface for classes capable of producing new instances
of specific GradientFeatureProvider implementations.
- gradientMagnitudesAndOrientations(FImage, FImage, FImage) - Static method in class org.openimaj.image.processing.convolution.FImageGradients
-
Estimate gradients magnitudes and orientations by calculating pixel
differences.
- gradientMagnitudesAndQuantisedOrientations(FImage, FImage[]) - Static method in class org.openimaj.image.processing.convolution.FImageGradients
-
Estimate gradients magnitudes and orientations by calculating pixel
differences.
- gradientMagnitudesAndQuantisedOrientations(FImage, FImage[], boolean, FImageGradients.Mode) - Static method in class org.openimaj.image.processing.convolution.FImageGradients
-
Estimate gradients magnitudes and orientations by calculating pixel
differences.
- gradientMagnitudesAndUnsignedOrientations(FImage, FImage, FImage) - Static method in class org.openimaj.image.processing.convolution.FImageGradients
-
Estimate gradients magnitudes and orientations by calculating pixel
differences.
- GradientOrientationHistogramExtractor - Class in org.openimaj.image.analysis.algorithm.histogram
-
- GradientOrientationHistogramExtractor(int, boolean, FImageGradients.Mode) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.GradientOrientationHistogramExtractor
-
- GradientScaleSpaceImageExtractorProperties<I extends Image<?,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.feature.local.extraction
-
- GradientScaleSpaceImageExtractorProperties() - Constructor for class org.openimaj.image.feature.local.extraction.GradientScaleSpaceImageExtractorProperties
-
- gradientX - Variable in class org.openimaj.image.processing.convolution.CLSobel
-
The computed Sobel gradient in the X direction
- gradientY - Variable in class org.openimaj.image.processing.convolution.CLSobel
-
The computed Sobel gradient in the Y direction
- gradx - Variable in class org.openimaj.video.tracking.klt.PyramidSet
-
the x gradient pyramid
- grady - Variable in class org.openimaj.video.tracking.klt.PyramidSet
-
the y gradient pyramid
- GrahamScan - Class in org.openimaj.math.geometry.shape.util
-
Graham Scan convex hull algorithm, based on the implementation by
Bart Kiers.
- GrahamScan() - Constructor for class org.openimaj.math.geometry.shape.util.GrahamScan
-
- GrahamScan.Turn - Enum in org.openimaj.math.geometry.shape.util
-
An enum denoting a directional-turn between 3 Point2ds (vectors).
- GramSchmidtProcess - Class in org.openimaj.math.matrix
-
Perform the Gram-Schmid process on a vector, returning the orthogonal basis set
whose first vector is the input
http://zintegra.net/archives/738
- GramSchmidtProcess() - Constructor for class org.openimaj.math.matrix.GramSchmidtProcess
-
an unseeded random start
- GramSchmidtProcess(int) - Constructor for class org.openimaj.math.matrix.GramSchmidtProcess
-
Set the random seed of the purtubations
- graph - Variable in class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph
-
- Graph - Interface in org.w3._2004._03.trix.rdfg_1
-
An RDF graph (with intensional semantics).
- GraphLaplacian - Class in org.openimaj.ml.clustering.spectral
-
Functions which turn a graph weight adjacency matrix into the Laplacian
matrix.
- GraphLaplacian() - Constructor for class org.openimaj.ml.clustering.spectral.GraphLaplacian
-
- GraphLaplacian.Normalised - Class in org.openimaj.ml.clustering.spectral
-
The inverted symmetric normalised Laplacian is defined as:
L = D^-1/2 A D^-1/2
- GraphLaplacian.Unnormalised - Class in org.openimaj.ml.clustering.spectral
-
The symmetric normalised Laplacian is defined as:
L = D - W
- GraphLaplacian.Warped - Class in org.openimaj.ml.clustering.spectral
-
The inverted symmetric normalised Laplacian is defined as:
L = D^-1 .
- GraphSerialiser() - Constructor for class org.openimaj.rdf.storm.utils.JenaStormUtils.GraphSerialiser
-
- GRAY - Static variable in class org.openimaj.image.colour.RGBColour
-
Gray colour as RGB
- greaterThan(Matrix, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
- greaterThanSet(Matrix, int, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
for every value in x greater than val set toset
- greatest(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues
-
Compute the largest eigenvalues in magnitude.
- greedyMatch() - Method in class org.openimaj.math.combinatorics.optimisation.HungarianAlgorithm
-
Find a valid matching by greedily selecting among zero-cost matchings.
- GREEN - Static variable in class org.openimaj.image.colour.RGBColour
-
Green colour as RGB
- GrepFilter - Class in org.openimaj.tools.twitter.modes.filter
-
The grep functionality.
- GrepFilter() - Constructor for class org.openimaj.tools.twitter.modes.filter.GrepFilter
-
- GreyscaleConnectedComponentLabeler - Class in org.openimaj.image.connectedcomponent
-
A Connected Component Labeler for grey-level images.
- GreyscaleConnectedComponentLabeler() - Constructor for class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
-
- GreyscaleSimulation - Class in org.openimaj.image.neardups.sim
-
- GreyscaleSimulation(int) - Constructor for class org.openimaj.image.neardups.sim.GreyscaleSimulation
-
- GreyscaleSlitScanProcessor - Class in org.openimaj.video.processing.effects
-
VideoProcessor
that produces a slit-scan effect based on the time-map
in a greyscale image.
- GreyscaleSlitScanProcessor(FImage) - Constructor for class org.openimaj.video.processing.effects.GreyscaleSlitScanProcessor
-
Default constructor for using the video processor in an ad-hoc manner.
- GreyscaleSlitScanProcessor(FImage, int) - Constructor for class org.openimaj.video.processing.effects.GreyscaleSlitScanProcessor
-
Default constructor for using the video processor in an ad-hoc manner.
- GreyscaleSlitScanProcessor(Video<MBFImage>, FImage, int) - Constructor for class org.openimaj.video.processing.effects.GreyscaleSlitScanProcessor
-
Constructor for creating a video processor which is chainable.
- GreyscaleSlitScanProcessor(int) - Constructor for class org.openimaj.video.processing.effects.GreyscaleSlitScanProcessor
-
Default constructor for using the video processor in an ad-hoc manner.
- GreyscaleSlitScanProcessor(Video<MBFImage>, int) - Constructor for class org.openimaj.video.processing.effects.GreyscaleSlitScanProcessor
-
Constructor for creating a video processor which is chainable.
- GridMotionEstimator - Class in org.openimaj.video.processing.motion
-
Estimates the motion field over a grid.
- GridMotionEstimator(MotionEstimatorAlgorithm, int, int, boolean) - Constructor for class org.openimaj.video.processing.motion.GridMotionEstimator
-
Construct a grid-based motion estimator.
- GridMotionEstimator(Video<FImage>, MotionEstimatorAlgorithm, int, int, boolean) - Constructor for class org.openimaj.video.processing.motion.GridMotionEstimator
-
Construct a chained grid-based motion estimator.
- GridProcessor<T,I extends Image<T,I>> - Interface in org.openimaj.image.processor
-
A processor that will process an image in a grid-wise fashion returning
a single value for each grid element.
- groundTruthFile - Variable in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
- GroupedDataset<KEY,DATASET extends Dataset<INSTANCE>,INSTANCE> - Interface in org.openimaj.data.dataset
-
A
Dataset
that is grouped into separate classes or groups.
- GroupedKFold<KEY,INSTANCE> - Class in org.openimaj.experiment.validation.cross
-
K-Fold Cross-Validation on grouped datasets.
- GroupedKFold(int) - Constructor for class org.openimaj.experiment.validation.cross.GroupedKFold
-
- GroupedLeaveOneOut<KEY,INSTANCE> - Class in org.openimaj.experiment.validation.cross
-
- GroupedLeaveOneOut() - Constructor for class org.openimaj.experiment.validation.cross.GroupedLeaveOneOut
-
- GroupedListCache<KEY,OBJECT> - Interface in org.openimaj.data.dataset.cache
-
Definition of a cache for groups of lists.
- GroupedRandomisedPercentageHoldOut<KEY,INSTANCE> - Class in org.openimaj.experiment.validation
-
Hold-Out validation for grouped data that selects a percentage of the
original data to use for training, and the remainder to use for validation.
- GroupedRandomisedPercentageHoldOut(double, GroupedDataset<KEY, ListDataset<INSTANCE>, INSTANCE>) - Constructor for class org.openimaj.experiment.validation.GroupedRandomisedPercentageHoldOut
-
Construct with the given dataset and percentage of training data (0..1).
- GroupedRandomSplitter<KEY,INSTANCE> - Class in org.openimaj.experiment.dataset.split
-
This class splits a
GroupedDataset
into subsets for training,
validation and testing.
- GroupedRandomSplitter(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>, int, int, int) - Constructor for class org.openimaj.experiment.dataset.split.GroupedRandomSplitter
-
Construct the dataset splitter with the given target instance sizes for
each group of the training, validation and testing data.
- GroupedUniformRandomisedSampler<KEY,INSTANCE> - Class in org.openimaj.experiment.dataset.sampling
-
A uniformly random sampling scheme for grouped datasets.
- GroupedUniformRandomisedSampler(double) - Constructor for class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
- GroupedUniformRandomisedSampler(double, boolean) - Constructor for class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
- GroupedUniformRandomisedSampler(int) - Constructor for class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
- GroupedUniformRandomisedSampler(int, boolean) - Constructor for class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
- groupingFilter - Variable in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- GroupSampler<KEY,INSTANCE> - Class in org.openimaj.experiment.dataset.sampling
-
- GroupSampler(int, boolean) - Constructor for class org.openimaj.experiment.dataset.sampling.GroupSampler
-
Construct the sample to extract the given number of groups, either
randomly or by taking them in the order provided by the iterator of
groups.
- GrowingChunkPartitioner<T> - Class in org.openimaj.util.parallel.partition
-
- GrowingChunkPartitioner(Iterable<T>) - Constructor for class org.openimaj.util.parallel.partition.GrowingChunkPartitioner
-
Construct with data in the form of an
Iterable
.
- gson - Static variable in class org.openimaj.twitter.GeneralJSON
-
- GsonPLAY - Class in org.openimaj.twitter
-
Just some gson play
- GsonPLAY() - Constructor for class org.openimaj.twitter.GsonPLAY
-
- GStreamerException - Exception in org.openimaj.video.gstreamer
-
Signals an exception occurred during video capture from a GStreamer pipeline.
- GStreamerException(String) - Constructor for exception org.openimaj.video.gstreamer.GStreamerException
-
Constructs an VideoCaptureException
with the specified detail
message.
- GStreamerVideo - Class in org.openimaj.video.gstreamer
-
- GStreamerVideo(String) - Constructor for class org.openimaj.video.gstreamer.GStreamerVideo
-
- guessType(ImageCollectionConfig) - Static method in enum org.openimaj.tools.imagecollection.collection.config.ImageCollectionMode
-
- GZIPFileProvider(File) - Constructor for class org.openimaj.util.iterator.TextLineIterable.GZIPFileProvider
-
Construct with the given file
- I - Static variable in class org.openimaj.image.processing.morphology.GolayAlphabet
-
The I elements of the Golay Alphabet
- I1 - Variable in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
The first affine-invariant moment
- I2 - Variable in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
The second affine-invariant moment
- I3 - Variable in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
The third affine-invariant moment
- I4 - Variable in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
The forth affine-invariant moment
- ic - Variable in class org.openimaj.content.slideshow.PictureSlide
-
- IconListRenderer() - Constructor for class org.openimaj.demos.Demos.IconListRenderer
-
- id - Variable in class org.openimaj.feature.local.quantised.QuantisedLocalFeature
-
The identifier.
- id - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- id - Variable in class org.openimaj.twitter.USMFStatus
-
Unique ID
- id - Variable in class org.openimaj.twitter.USMFStatus.User
-
Unique User ID
- ID - Static variable in class org.openimaj.workinprogress.SignProgrammer
-
- id_str - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- Identifiable - Interface in org.openimaj.data.identity
-
An
Identifiable
is an object that has an associated identifier.
- IdentifiableBuilder() - Constructor for class org.openimaj.data.dataset.MapBackedDataset.IdentifiableBuilder
-
- IdentifiableObject<T> - Class in org.openimaj.data.identity
-
A simple implementation of
Identifiable
that wraps another object.
- IdentifiableObject(String, T) - Constructor for class org.openimaj.data.identity.IdentifiableObject
-
Construct with the given identity and data.
- identifier - Variable in class org.openimaj.experiment.ExperimentContext.Variable
-
The variables identifier taken from the annotation, or the variables
name if the annotation has the default identifier.
- identifier() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- identifier(long) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- identifier() - Method in interface org.openimaj.io.Cachable
-
- identifier() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- identifier() - Method in class org.openimaj.video.capture.Device
-
- identifier(Pointer<Byte>) - Method in class org.openimaj.video.capture.Device
-
- identifierBinary(long) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
Generate a byte array identifier with some time stamp included.
- identify() - Method in class org.openimaj.hardware.kinect.KinectController
-
Sets the LEDs to blink red and yellow for five seconds before resetting
to green.
- identity(Matrix, Matrix) - Method in class com.jsaragih.PDM
-
Initialise the identify face parameters
- identity - Variable in class org.openimaj.data.identity.IdentifiableObject
-
The identity
- IdentityAligner<T extends DetectedFace> - Class in org.openimaj.image.processing.face.alignment
-
A FaceAligner that does nothing, and just passes on the patch from the
DetectedFace.
- IdentityAligner() - Constructor for class org.openimaj.image.processing.face.alignment.IdentityAligner
-
- IdentityFaceDetector<IMAGE extends Image<?,IMAGE>> - Class in org.openimaj.image.processing.face.detection
-
A face detector that does nothing other than wrap the input image in a single
DetectedFace
object.
- IdentityFaceDetector() - Constructor for class org.openimaj.image.processing.face.detection.IdentityFaceDetector
-
- IdentityFeatureExtractor<OBJECT> - Class in org.openimaj.feature
-
An identity extractor hands back the object it is given as the extracted feature
- IdentityFeatureExtractor() - Constructor for class org.openimaj.feature.IdentityFeatureExtractor
-
- IdentityFilter<T> - Class in org.openimaj.image.objectdetection.filtering
-
- IdentityFilter() - Constructor for class org.openimaj.image.objectdetection.filtering.IdentityFilter
-
- IdentityMapper<INPUT_KEY,INPUT_VALUE,MAP_OUTPUT_KEY,MAP_OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage
-
The identity mapper emits what it is given as input
- IdentityMapper() - Constructor for class org.openimaj.hadoop.mapreduce.stage.IdentityMapper
-
Default constructor
- IdentityReducer<MAP_OUTPUT_KEY,MAP_OUTPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage
-
The identity reducer outputs what it gets as input.
- IdentityReducer() - Constructor for class org.openimaj.hadoop.mapreduce.stage.IdentityReducer
-
Default constructor
- ie - Variable in class org.openimaj.math.geometry.shape.util.polygon.ItNode
-
Intersecting edge (bundle) pair
- IgnoreTokenStripper - Class in org.openimaj.text.nlp.namedentity
-
Class to remove stopwords from a list of tokens, or to check if a word is a
stopword.
- IgnoreTokenStripper(IgnoreTokenStripper.Language) - Constructor for class org.openimaj.text.nlp.namedentity.IgnoreTokenStripper
-
Constructor for specified language.
- IgnoreTokenStripper.Language - Enum in org.openimaj.text.nlp.namedentity
-
Language to build stripper from.
- ILI - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Internal left intermediate
- im - Variable in class org.openimaj.math.util.Complex
-
The imaginary part
- im_ - Variable in class com.jsaragih.Patch
-
- image - Variable in class org.openimaj.image.analysis.algorithm.ImageInterpolation
-
- image - Variable in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Record
-
The Flickr Photo
- image - Variable in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
- image - Variable in class org.openimaj.image.DisplayUtilities.ImageComponent
-
The image being displayed
- image - Variable in class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor
-
- image - Variable in class org.openimaj.image.feature.local.extraction.LocalImageExtractorProperties
-
The image being processed
- Image<Q,I extends Image<Q,I>> - Class in org.openimaj.image
-
Base class for representing and manipulating images.
- Image() - Constructor for class org.openimaj.image.Image
-
- image - Variable in class org.openimaj.image.Plotter
-
- image - Variable in class org.openimaj.image.processor.connectedcomponent.render.AbstractRenderer
-
The image that the rendered will write to
- image - Variable in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererMono
-
The image to draw into
- image - Variable in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererRGB
-
The image to draw into
- image - Variable in class org.openimaj.tools.imagecollection.collection.ImageCollectionEntry
-
- image - Variable in class org.openimaj.web.scraping.images.ImgurClient.ImageResponse
-
Image metadata
- Image.Field - Enum in org.openimaj.image
-
Enumerator for representing the type of field interlacing operations.
- ImageAnalyser<I extends Image<?,I>> - Interface in org.openimaj.image.analyser
-
An interface for objects that are able to perform analysis on images.
- ImageAnalyserFVFeatureExtractor<ANALYSER extends ImageAnalyser<IMAGE> & FeatureVectorProvider<FEATURE>,IMAGE extends Image<?,IMAGE>,FEATURE extends FeatureVector> - Class in org.openimaj.image.feature
-
- ImageAnalyserFVFeatureExtractor(ANALYSER) - Constructor for class org.openimaj.image.feature.ImageAnalyserFVFeatureExtractor
-
Construct with the given analyser
- imageAtBoundary - Variable in class org.openimaj.video.processing.shotdetector.VideoKeyframe
-
An image at the shot boundary
- ImageClassificationModel<T extends Image<?,T>> - Interface in org.openimaj.image.model
-
An ImageClassificationModel is a
EstimatableModel
constructed between
an generic image and a probability map in the form of an FImage.
- ImageCollection<ImageType extends Image<?,ImageType>> - Interface in org.openimaj.tools.imagecollection.collection
-
An image collection knows how to load itself from a given type of configuration.
- ImageCollectionConfig - Class in org.openimaj.tools.imagecollection.collection.config
-
An ImageCollectionConfig can be written to and read from an ASCII str
- ImageCollectionConfig() - Constructor for class org.openimaj.tools.imagecollection.collection.config.ImageCollectionConfig
-
- ImageCollectionConfig(String) - Constructor for class org.openimaj.tools.imagecollection.collection.config.ImageCollectionConfig
-
- ImageCollectionConfig - Class in org.openimaj.tools.imagecollection.collection
-
An ImageCollectionConfig can be written to and read from an ASCII str
- ImageCollectionConfig() - Constructor for class org.openimaj.tools.imagecollection.collection.ImageCollectionConfig
-
- ImageCollectionConfig(String) - Constructor for class org.openimaj.tools.imagecollection.collection.ImageCollectionConfig
-
- ImageCollectionEntry<T extends Image<?,T>> - Class in org.openimaj.tools.imagecollection.collection
-
- ImageCollectionEntry() - Constructor for class org.openimaj.tools.imagecollection.collection.ImageCollectionEntry
-
- ImageCollectionEntrySelection<T extends Image<?,T>> - Interface in org.openimaj.tools.imagecollection.collection
-
- ImageCollectionEntrySelection.All<T extends Image<?,T>> - Class in org.openimaj.tools.imagecollection.collection
-
- ImageCollectionMode - Enum in org.openimaj.tools.imagecollection.collection.config
-
- ImageCollectionProcessor<T extends Image<?,T>> - Class in org.openimaj.tools.imagecollection.processor
-
- ImageCollectionProcessor() - Constructor for class org.openimaj.tools.imagecollection.processor.ImageCollectionProcessor
-
- ImageCollectionProcessorJob<T extends Image<?,T>> - Class in org.openimaj.tools.imagecollection.tool
-
- ImageCollectionProcessorJob(ImageCollection<T>, ImageCollectionProcessor<T>, MetaMapper) - Constructor for class org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob
-
- ImageCollectionProcessorJob.ProcessorJobEvent - Class in org.openimaj.tools.imagecollection.tool
-
- ImageCollectionProcessorJob.ProcessorJobListener - Interface in org.openimaj.tools.imagecollection.tool
-
- ImageCollectionProcessorMode - Enum in org.openimaj.tools.imagecollection.collection.config
-
- ImageCollectionProcessorMode - Enum in org.openimaj.tools.imagecollection
-
- ImageCollectionProcessorMode.ModeOp - Interface in org.openimaj.tools.imagecollection.collection.config
-
- ImageCollectionSetupException - Exception in org.openimaj.tools.imagecollection.collection
-
- ImageCollectionSetupException(String) - Constructor for exception org.openimaj.tools.imagecollection.collection.ImageCollectionSetupException
-
- ImageCollectionSetupException(ParseException) - Constructor for exception org.openimaj.tools.imagecollection.collection.ImageCollectionSetupException
-
- ImageCollectionState - Class in org.openimaj.tools.imagecollection.collection
-
- ImageCollectionState() - Constructor for class org.openimaj.tools.imagecollection.collection.ImageCollectionState
-
- ImageCollectionTool<T extends Image<?,T>> - Class in org.openimaj.tools.imagecollection.tool
-
- ImageCollectionTool() - Constructor for class org.openimaj.tools.imagecollection.tool.ImageCollectionTool
-
- ImageCombiner<I1 extends Image<?,I1>,I2 extends Image<?,I2>,O extends Image<?,O>> - Interface in org.openimaj.image.combiner
-
Interface for classes capable of combining two images into one.
- ImageComponent() - Constructor for class org.openimaj.image.DisplayUtilities.ImageComponent
-
Default constructor
- ImageComponent(boolean) - Constructor for class org.openimaj.image.DisplayUtilities.ImageComponent
-
Default constructor.
- ImageComponent(BufferedImage) - Constructor for class org.openimaj.image.DisplayUtilities.ImageComponent
-
Construct with given image
- ImageComponent(boolean, boolean) - Constructor for class org.openimaj.image.DisplayUtilities.ImageComponent
-
Default constructor.
- ImageComponent(float, boolean, boolean) - Constructor for class org.openimaj.image.DisplayUtilities.ImageComponent
-
Default constructor.
- imageCreated(I) - Method in interface org.openimaj.tools.ocr.FontSimulator.FontSimListener
-
Called when an image is created during one of its runs.
- imageCreated(FImage) - Method in class org.openimaj.tools.ocr.KNNCharacterClassifier.ImageTrainer
-
- ImageDataSourceQuery() - Constructor for class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- ImageDataSourceResponse(JSONObject) - Constructor for class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceResponse
-
- ImageFeatureMDS - Class in org.openimaj.demos
-
- ImageFeatureMDS() - Constructor for class org.openimaj.demos.ImageFeatureMDS
-
- ImageFeatureSelect - Class in org.openimaj.hadoop.tools.fastkmeans
-
- ImageFeatureSelect() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect
-
- ImageFeatureSelect.Map - Class in org.openimaj.hadoop.tools.fastkmeans
-
- ImageFeatureSelect.Reduce - Class in org.openimaj.hadoop.tools.fastkmeans
-
- ImageFromURL<I extends Image<?,I>> - Class in org.openimaj.stream.functions
-
This class implements a function that can read images from URLs.
- ImageFromURL(ObjectReader<I, InputStream>) - Constructor for class org.openimaj.stream.functions.ImageFromURL
-
Construct with the given image reader.
- imageHeight - Variable in class org.openimaj.image.feature.global.Gist
-
- ImageInterpolation - Class in org.openimaj.image.analysis.algorithm
-
An
ImageAnalyser
that can provide interpolate pixel values using a
variety of interpolation approaches.
- ImageInterpolation(ImageInterpolation.Interpolator) - Constructor for class org.openimaj.image.analysis.algorithm.ImageInterpolation
-
Default constructor.
- ImageInterpolation.InterpolationType - Enum in org.openimaj.image.analysis.algorithm
-
Standard interpolation types.
- ImageInterpolation.Interpolator - Interface in org.openimaj.image.analysis.algorithm
-
Interface defining an object capable of performing pixel interpolation
- imagePanned(double, double) - Method in interface org.openimaj.image.DisplayUtilities.ImageComponent.ImageComponentListener
-
Called when the image has been panned to a new position.
- ImageProcessor<I extends Image<?,I>> - Interface in org.openimaj.image.processor
-
An interface for objects that are able to process whole images.
- ImageProvider<IMAGE extends Image<?,IMAGE>> - Interface in org.openimaj.image
-
Interface for objects that can provide images
- ImageRenderer<Q,I extends Image<Q,I>> - Class in org.openimaj.image.renderer
-
ImageRenderer is the abstract base class for all renderers capable of drawing
to images.
- ImageRenderer(I) - Constructor for class org.openimaj.image.renderer.ImageRenderer
-
Construct with given target image.
- ImageRenderer(I, RenderHints) - Constructor for class org.openimaj.image.renderer.ImageRenderer
-
Construct with given target image and rendering hints.
- ImageResponse() - Constructor for class org.openimaj.web.scraping.images.ImgurClient.ImageResponse
-
- images - Variable in class org.openimaj.image.analysis.pyramid.Octave
-
The images that make up this Octave
- images - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- imagesDone - Variable in class org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob.ProcessorJobEvent
-
- ImageSearchResult<METADATA extends Identifiable> - Class in org.openimaj.image.searching
-
- ImageSearchResult(METADATA, double) - Constructor for class org.openimaj.image.searching.ImageSearchResult
-
- ImageSiteURLExtractor - Class in org.openimaj.stream.functions
-
This class implements a function that will given an input URL outputs a list
of URLs to the possible images related to the input URL.
- ImageSiteURLExtractor(boolean, boolean) - Constructor for class org.openimaj.stream.functions.ImageSiteURLExtractor
-
Construct with or without Tumblr support
- ImageSiteURLExtractor(boolean) - Constructor for class org.openimaj.stream.functions.ImageSiteURLExtractor
-
Construct with or without Tumblr support
- ImageSiteURLExtractor() - Constructor for class org.openimaj.stream.functions.ImageSiteURLExtractor
-
Default constructor; includes tumblr support.
- imagesTotal - Variable in class org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob.ProcessorJobEvent
-
- ImageThumbnailPlotter - Class in org.openimaj.vis.general
-
An item plotter that is able to plot images into a visualisation at a given
position and size.
- ImageThumbnailPlotter() - Constructor for class org.openimaj.vis.general.ImageThumbnailPlotter
-
- imageToVector(MBFImage) - Method in class org.openimaj.image.segmentation.KMColourSegmenter
-
- imageToVector(MBFImage) - Method in class org.openimaj.image.segmentation.KMSpatialColourSegmenter
-
- ImageTrainer(int) - Constructor for class org.openimaj.tools.ocr.KNNCharacterClassifier.ImageTrainer
-
Constructor that takes the size of the output vector (that is the
total number of training instances).
- imageURLs - Variable in class org.openimaj.picslurper.StatusConsumption
-
The consume image urls
- ImageUtilities - Class in org.openimaj.image
-
A static utility class with methods for dealing with images.
- imageWidth - Variable in class org.openimaj.image.feature.global.Gist
-
- imageZoomed(double) - Method in interface org.openimaj.image.DisplayUtilities.ImageComponent.ImageComponentListener
-
Called when the image has been zoomed to the new zoom factor.
- img - Variable in class org.openimaj.image.feature.local.detector.mser.gui.TestGUI
-
- ImgDetector - Class in org.openimaj.demos
-
- ImgDetector() - Constructor for class org.openimaj.demos.ImgDetector
-
- imgPyr - Variable in class org.openimaj.video.tracking.klt.PyramidSet
-
the image pyramid
- ImgurClient - Class in org.openimaj.web.scraping.images
-
An imgur client has the various functionality of the imgur.com api
- ImgurClient() - Constructor for class org.openimaj.web.scraping.images.ImgurClient
-
- ImgurClient.ImageResponse - Class in org.openimaj.web.scraping.images
-
An image response is composed of two Maps, one describing the image and
another describing its links
- ImgurClient.ImgurType - Enum in org.openimaj.web.scraping.images
-
- ImgurClient.ImgurTypeHash - Class in org.openimaj.web.scraping.images
-
- ImgurConsumer - Class in org.openimaj.web.scraping.images
-
Downloads images hosted on imgur.com using their API
- ImgurConsumer() - Constructor for class org.openimaj.web.scraping.images.ImgurConsumer
-
- ImgurTypeHash(ImgurClient.ImgurType, String) - Constructor for class org.openimaj.web.scraping.images.ImgurClient.ImgurTypeHash
-
- imgurURLtoHash(URL) - Static method in class org.openimaj.web.scraping.images.ImgurClient
-
- IMM - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Internal maximum and minimum
- IMMFaceDatabase - Class in org.openimaj.image.model.asm.datasets
-
The IMM Face Database (a set of labelled faces with connected points).
- IMMFaceDatabase() - Constructor for class org.openimaj.image.model.asm.datasets.IMMFaceDatabase
-
- IMN - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Internal minimum
- importMap - Static variable in class org.openimaj.rdf.owl2java.PropertyDef
-
A map of XML Schema types to imports
- improveEstimate - Variable in class org.openimaj.math.model.fit.LMedS
-
- improveEstimate - Variable in class org.openimaj.math.model.fit.RANSAC
-
- IMX - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Internal maximum
- in(Iterator<T>) - Static method in class org.openimaj.util.iterator.IterableIterator
-
Wrapper to allow an
Iterator
as an
Iterable
so it can be
used in a foreach loop.
- in_reply_to_screen_name - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- in_reply_to_status_id - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- in_reply_to_user_id - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- inc() - Method in class org.openimaj.text.nlp.sentiment.lexicon.TotalLexBuilder.Counter
-
- incoherentHistogram - Variable in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector.EdgeDirectionCoherenceHistogram
-
The incoherent part of the histogram
- IncompatibleTimeSeriesException - Exception in org.openimaj.ml.timeseries
-
- IncompatibleTimeSeriesException() - Constructor for exception org.openimaj.ml.timeseries.IncompatibleTimeSeriesException
-
- IncompatibleTimeSeriesException(String) - Constructor for exception org.openimaj.ml.timeseries.IncompatibleTimeSeriesException
-
- incr(StatusConsumption) - Method in class org.openimaj.picslurper.StatusConsumption
-
- incr - Variable in class org.openimaj.util.parallel.Parallel.IntRange
-
Increment amount
- incrColumn(Matrix, int, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Increment values in a single column by a constant
- increment(int, byte) - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- increment(int, double) - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- increment(int, float) - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- increment(int, int) - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- increment(int, long) - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- increment(int, short) - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- increment(int, byte) - Method in class org.openimaj.util.array.SparseByteArray
-
Increment the value at the given index.
- increment(int, double) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Increment the value at the given index.
- increment(int, float) - Method in class org.openimaj.util.array.SparseFloatArray
-
Increment the value at the given index.
- increment(int, byte) - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- increment(int, double) - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- increment(int, float) - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- increment(int, int) - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- increment(int, long) - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- increment(int, short) - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- increment(int, int) - Method in class org.openimaj.util.array.SparseIntArray
-
Increment the value at the given index.
- increment(int, long) - Method in class org.openimaj.util.array.SparseLongArray
-
Increment the value at the given index.
- increment(int, short) - Method in class org.openimaj.util.array.SparseShortArray
-
Increment the value at the given index.
- IncrementalAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation
-
An
Annotator
that can be trained/updated incrementally.
- IncrementalAnnotator() - Constructor for class org.openimaj.ml.annotation.IncrementalAnnotator
-
- IncrementalBilinearSparseOnlineLearner - Class in org.openimaj.ml.linear.learner
-
- IncrementalBilinearSparseOnlineLearner() - Constructor for class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
Instantiates with the default params
- IncrementalBilinearSparseOnlineLearner(BilinearLearnerParameters) - Constructor for class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- IncrementalByteADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
- IncrementalByteADCNearestNeighbours() - Constructor for class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- IncrementalByteADCNearestNeighbours(ByteProductQuantiser, byte[][]) - Constructor for class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalByteADCNearestNeighbours(ByteProductQuantiser, List<byte[]>) - Constructor for class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalByteADCNearestNeighbours(ByteProductQuantiser, DataSource<byte[]>) - Constructor for class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalByteADCNearestNeighbours(ByteProductQuantiser, int) - Constructor for class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalByteADCNearestNeighbours(ByteProductQuantiser, int, int) - Constructor for class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalByteKDTree - Class in org.openimaj.util.tree
-
Implementation of a simple incremental KDTree for byte[]
s.
- IncrementalByteKDTree() - Constructor for class org.openimaj.util.tree.IncrementalByteKDTree
-
Create an empty KDTree object
- IncrementalByteKDTree(Collection<byte[]>) - Constructor for class org.openimaj.util.tree.IncrementalByteKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalByteKDTree(byte[][]) - Constructor for class org.openimaj.util.tree.IncrementalByteKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalDoubleADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
- IncrementalDoubleADCNearestNeighbours() - Constructor for class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- IncrementalDoubleADCNearestNeighbours(DoubleProductQuantiser, double[][]) - Constructor for class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalDoubleADCNearestNeighbours(DoubleProductQuantiser, List<double[]>) - Constructor for class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalDoubleADCNearestNeighbours(DoubleProductQuantiser, DataSource<double[]>) - Constructor for class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalDoubleADCNearestNeighbours(DoubleProductQuantiser, int) - Constructor for class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalDoubleADCNearestNeighbours(DoubleProductQuantiser, int, int) - Constructor for class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalDoubleKDTree - Class in org.openimaj.util.tree
-
Implementation of a simple incremental KDTree for double[]
s.
- IncrementalDoubleKDTree() - Constructor for class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Create an empty KDTree object
- IncrementalDoubleKDTree(Collection<double[]>) - Constructor for class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalDoubleKDTree(double[][]) - Constructor for class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalFloatADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
- IncrementalFloatADCNearestNeighbours() - Constructor for class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- IncrementalFloatADCNearestNeighbours(FloatProductQuantiser, float[][]) - Constructor for class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalFloatADCNearestNeighbours(FloatProductQuantiser, List<float[]>) - Constructor for class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalFloatADCNearestNeighbours(FloatProductQuantiser, DataSource<float[]>) - Constructor for class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalFloatADCNearestNeighbours(FloatProductQuantiser, int) - Constructor for class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalFloatADCNearestNeighbours(FloatProductQuantiser, int, int) - Constructor for class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalFloatKDTree - Class in org.openimaj.util.tree
-
Implementation of a simple incremental KDTree for float[]
s.
- IncrementalFloatKDTree() - Constructor for class org.openimaj.util.tree.IncrementalFloatKDTree
-
Create an empty KDTree object
- IncrementalFloatKDTree(Collection<float[]>) - Constructor for class org.openimaj.util.tree.IncrementalFloatKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalFloatKDTree(float[][]) - Constructor for class org.openimaj.util.tree.IncrementalFloatKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalIndexer<DATA extends ImageProvider<MBFImage>,RESULT extends Identifiable & Scored,QUERY extends ImageProvider<MBFImage>> - Interface in org.openimaj.image.indexing
-
- IncrementalIntADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
- IncrementalIntADCNearestNeighbours() - Constructor for class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- IncrementalIntADCNearestNeighbours(IntProductQuantiser, int[][]) - Constructor for class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalIntADCNearestNeighbours(IntProductQuantiser, List<int[]>) - Constructor for class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalIntADCNearestNeighbours(IntProductQuantiser, DataSource<int[]>) - Constructor for class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalIntADCNearestNeighbours(IntProductQuantiser, int) - Constructor for class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalIntADCNearestNeighbours(IntProductQuantiser, int, int) - Constructor for class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalIntKDTree - Class in org.openimaj.util.tree
-
Implementation of a simple incremental KDTree for int[]
s.
- IncrementalIntKDTree() - Constructor for class org.openimaj.util.tree.IncrementalIntKDTree
-
Create an empty KDTree object
- IncrementalIntKDTree(Collection<int[]>) - Constructor for class org.openimaj.util.tree.IncrementalIntKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalIntKDTree(int[][]) - Constructor for class org.openimaj.util.tree.IncrementalIntKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalLifetimeSparseClusterer - Class in org.openimaj.ml.clustering.incremental
-
- IncrementalLifetimeSparseClusterer(SparseMatrixClusterer<? extends IndexClusters>, int) - Constructor for class org.openimaj.ml.clustering.incremental.IncrementalLifetimeSparseClusterer
-
- IncrementalLifetimeSparseClusterer(SparseMatrixClusterer<? extends IndexClusters>, int, int) - Constructor for class org.openimaj.ml.clustering.incremental.IncrementalLifetimeSparseClusterer
-
- IncrementalLifetimeSparseClusterer(SparseMatrixClusterer<? extends IndexClusters>, int, double, int) - Constructor for class org.openimaj.ml.clustering.incremental.IncrementalLifetimeSparseClusterer
-
- IncrementalLongADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
- IncrementalLongADCNearestNeighbours() - Constructor for class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- IncrementalLongADCNearestNeighbours(LongProductQuantiser, long[][]) - Constructor for class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalLongADCNearestNeighbours(LongProductQuantiser, List<long[]>) - Constructor for class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalLongADCNearestNeighbours(LongProductQuantiser, DataSource<long[]>) - Constructor for class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalLongADCNearestNeighbours(LongProductQuantiser, int) - Constructor for class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalLongADCNearestNeighbours(LongProductQuantiser, int, int) - Constructor for class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalLongKDTree - Class in org.openimaj.util.tree
-
Implementation of a simple incremental KDTree for long[]
s.
- IncrementalLongKDTree() - Constructor for class org.openimaj.util.tree.IncrementalLongKDTree
-
Create an empty KDTree object
- IncrementalLongKDTree(Collection<long[]>) - Constructor for class org.openimaj.util.tree.IncrementalLongKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalLongKDTree(long[][]) - Constructor for class org.openimaj.util.tree.IncrementalLongKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalMetaIndex<DATA,METADATA extends Identifiable> - Interface in org.openimaj.image.searching
-
- IncrementalNearestNeighbours<DATA,DISTANCES,PAIR_TYPE> - Interface in org.openimaj.knn
-
Extension to K-nearest-neighbour that allows database points to be added
dynamically.
- IncrementalShortADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC)
on Product Quantised vectors.
- IncrementalShortADCNearestNeighbours() - Constructor for class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- IncrementalShortADCNearestNeighbours(ShortProductQuantiser, short[][]) - Constructor for class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalShortADCNearestNeighbours(ShortProductQuantiser, List<short[]>) - Constructor for class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalShortADCNearestNeighbours(ShortProductQuantiser, DataSource<short[]>) - Constructor for class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IncrementalShortADCNearestNeighbours(ShortProductQuantiser, int) - Constructor for class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalShortADCNearestNeighbours(ShortProductQuantiser, int, int) - Constructor for class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
Construct an empty ADC with the given quantiser.
- IncrementalShortKDTree - Class in org.openimaj.util.tree
-
Implementation of a simple incremental KDTree for short[]
s.
- IncrementalShortKDTree() - Constructor for class org.openimaj.util.tree.IncrementalShortKDTree
-
Create an empty KDTree object
- IncrementalShortKDTree(Collection<short[]>) - Constructor for class org.openimaj.util.tree.IncrementalShortKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalShortKDTree(short[][]) - Constructor for class org.openimaj.util.tree.IncrementalShortKDTree
-
Create a KDTree object and populate it with the given data.
- IncrementalSparseClusterer - Class in org.openimaj.ml.clustering.incremental
-
An incremental clusterer which holds old
SparseMatrix
instances internally,
only forgetting rows once they have been clustered and are relatively stable.
- IncrementalSparseClusterer(SparseMatrixClusterer<? extends IndexClusters>, int) - Constructor for class org.openimaj.ml.clustering.incremental.IncrementalSparseClusterer
-
- IncrementalSparseClusterer(SparseMatrixClusterer<? extends IndexClusters>, int, double) - Constructor for class org.openimaj.ml.clustering.incremental.IncrementalSparseClusterer
-
- IncrementalTrainer<T> - Interface in org.openimaj.ml.training
-
Interface describing objects capable of performing
incremental training.
- incrementClue(TFF.Clue, int) - Method in class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
- incrementTweetCount(int) - Method in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
- incrRow(Matrix, int, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Increment values in a single column by a constant
- incTopicTotal(int, double) - Method in class org.openimaj.pgm.vb.lda.mle.LDAModel
-
Increment a topic and word index by d.
- incTopicWord(int, int, double) - Method in class org.openimaj.pgm.vb.lda.mle.LDAModel
-
Increment a topic and word index by d.
- IndependentComponentAnalysis - Class in org.openimaj.math.matrix.algorithm.ica
-
- IndependentComponentAnalysis() - Constructor for class org.openimaj.math.matrix.algorithm.ica.IndependentComponentAnalysis
-
- IndependentPair<A,B> - Class in org.openimaj.util.pair
-
IndependentPair
represents a generic pair of objects of different
(independent) types.
- IndependentPair(A, B) - Constructor for class org.openimaj.util.pair.IndependentPair
-
Constructs a Pair object with two objects obj1 and obj2
- IndependentPriorRandomAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation.basic
-
Annotator that randomly assigns annotations, but takes account of the prior
probability of each annotation based on the proportion of times it occurred
in training.
- IndependentPriorRandomAnnotator(NumAnnotationsChooser) - Constructor for class org.openimaj.ml.annotation.basic.IndependentPriorRandomAnnotator
-
- IndependentVariable - Annotation Type in org.openimaj.experiment.annotations
-
Annotation for marking independent or controlled variables within a
RunnableExperiment
instance.
- index - Variable in class ch.akuhn.matrix.Vector.Entry
-
The index
- index - Variable in class org.openimaj.hadoop.tools.fastkmeans.IndexedByteArray
-
- index - Variable in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.MapperOut
-
- index - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation
-
The simulation index
- index - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint
-
The simulation index of the keypoint; this corresponds to the simulation
in which the keypoint was detected.
- index(List<? extends LocalFeature<?, ?>>, IncrementalFloatADCNearestNeighbours) - Method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
Index the given features into the given nearest neighbours object by
converting them to the PCA-VLAD representation and then
product-quantising.
- index(MBFImage, IncrementalFloatADCNearestNeighbours) - Method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
Index the given image into the given nearest neighbours object by
extracting the PCA-VLAD representation and then product-quantising.
- index - Variable in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
- index - Variable in class org.openimaj.util.array.SparseByteArray.Entry
-
The index in the array of the value
- index - Variable in class org.openimaj.util.array.SparseDoubleArray.Entry
-
The index in the array of the value
- index - Variable in class org.openimaj.util.array.SparseFloatArray.Entry
-
The index in the array of the value
- index - Variable in class org.openimaj.util.array.SparseIntArray.Entry
-
The index in the array of the value
- index - Variable in class org.openimaj.util.array.SparseLongArray.Entry
-
The index in the array of the value
- index - Variable in class org.openimaj.util.array.SparseShortArray.Entry
-
The index in the array of the value
- IndexClusters - Class in org.openimaj.ml.clustering
-
Class to describe objects that are the result of the clustering where the
training data is implicitly clustered
- IndexClusters() - Constructor for class org.openimaj.ml.clustering.IndexClusters
-
Used only to initailise for
IOUtils
- IndexClusters(int[][], int) - Constructor for class org.openimaj.ml.clustering.IndexClusters
-
- IndexClusters(int[][]) - Constructor for class org.openimaj.ml.clustering.IndexClusters
-
- IndexClusters(int[]) - Constructor for class org.openimaj.ml.clustering.IndexClusters
-
- IndexClusters(List<int[]>) - Constructor for class org.openimaj.ml.clustering.IndexClusters
-
- IndexedByteArray - Class in org.openimaj.hadoop.tools.fastkmeans
-
- IndexedByteArray(byte[]) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IndexedByteArray
-
- IndexedByteArray(byte[], Random) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IndexedByteArray
-
- IndexedByteArray(byte[], int) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IndexedByteArray
-
- IndexedByteArrayPriorityQueue - Class in org.openimaj.hadoop.tools.fastkmeans
-
- IndexedByteArrayPriorityQueue(int) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IndexedByteArrayPriorityQueue
-
- IndexedViewDataSource<DATATYPE> - Class in org.openimaj.data
-
- IndexedViewDataSource(DataSource<DATATYPE>, int[]) - Constructor for class org.openimaj.data.IndexedViewDataSource
-
- indexes(BillMatlabFileDataGenerator.Fold) - Method in enum org.openimaj.ml.linear.data.BillMatlabFileDataGenerator.Mode
-
- indexImage(int[][], T) - Method in class org.openimaj.demos.BasicDuplicateImageDatabase
-
Index a new image based on its features
- indexImage(DATA) - Method in interface org.openimaj.image.indexing.IncrementalIndexer
-
- indexImage(DATA) - Method in class org.openimaj.image.indexing.vlad.VLADIndexer
-
- indexImage(WriteableImageOutput) - Method in class org.openimaj.picslurper.client.TrendDetector
-
index a new image
- indexOf(Vector) - Static method in class ch.akuhn.matrix.Matrix
-
Get the index of the given vector
- indexOf(Object) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- indexOf(String) - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Get the offset in the index for a given value
- indexOf(Object) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- indexOfID(String) - Method in class org.openimaj.data.dataset.ReadableListDataset
-
Get the index of the instance with the given ID, or -1 if it can't be
found.
- indexRadiusSearch(byte[], byte) - Method in class org.openimaj.util.tree.ByteKDTree
-
Search the tree for the indexes of all points contained within the
hypersphere defined by the given centre and radius.
- indexRadiusSearch(double[], double) - Method in class org.openimaj.util.tree.DoubleKDTree
-
Search the tree for the indexes of all points contained within the
hypersphere defined by the given centre and radius.
- indexRadiusSearch(float[], float) - Method in class org.openimaj.util.tree.FloatKDTree
-
Search the tree for the indexes of all points contained within the
hypersphere defined by the given centre and radius.
- indexRadiusSearch(int[], int) - Method in class org.openimaj.util.tree.IntKDTree
-
Search the tree for the indexes of all points contained within the
hypersphere defined by the given centre and radius.
- indexRadiusSearch(long[], long) - Method in class org.openimaj.util.tree.LongKDTree
-
Search the tree for the indexes of all points contained within the
hypersphere defined by the given centre and radius.
- indexRadiusSearch(short[], short) - Method in class org.openimaj.util.tree.ShortKDTree
-
Search the tree for the indexes of all points contained within the
hypersphere defined by the given centre and radius.
- indexRangeSearch(byte[], byte[]) - Method in class org.openimaj.util.tree.ByteKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- indexRangeSearch(double[], double[]) - Method in class org.openimaj.util.tree.DoubleKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- indexRangeSearch(float[], float[]) - Method in class org.openimaj.util.tree.FloatKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- indexRangeSearch(int[], int[]) - Method in class org.openimaj.util.tree.IntKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- indexRangeSearch(long[], long[]) - Method in class org.openimaj.util.tree.LongKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- indexRangeSearch(short[], short[]) - Method in class org.openimaj.util.tree.ShortKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- indexSort(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Determine the indices of the given array if it were to be sorted into
ascending order.
- indexSort(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Determine the indices of the given array if it were to be sorted into
ascending order.
- indexSort(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Determine the indices of the given array if it were to be sorted into
ascending order.
- indexSort(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Determine the indices of the given array if it were to be sorted into
ascending order.
- indexSort(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Determine the indices of the given array if it were to be sorted into
ascending order.
- indexSort(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Determine the indices of the given array if it were to be sorted into
ascending order.
- indices() - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- indices() - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- indices() - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- indices() - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- indices() - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- indices() - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- indices() - Method in class org.openimaj.util.array.SparseByteArray
-
- indices() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- indices() - Method in class org.openimaj.util.array.SparseFloatArray
-
- indices() - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- indices() - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- indices() - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- indices() - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- indices() - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- indices() - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- indices() - Method in class org.openimaj.util.array.SparseIntArray
-
- indices() - Method in class org.openimaj.util.array.SparseLongArray
-
- indices() - Method in class org.openimaj.util.array.SparseShortArray
-
- indices - Variable in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
The leaf only holds the indices of the original data
- indices - Variable in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
The leaf only holds the indices of the original data
- indices - Variable in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
The leaf only holds the indices of the original data
- indices - Variable in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
The leaf only holds the indices of the original data
- indices - Variable in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
The leaf only holds the indices of the original data
- indices - Variable in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
The leaf only holds the indices of the original data
- info_mode - Variable in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- infoFile - Variable in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- init - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- init(List<?>, EstimatableModel<?, ?>) - Method in class org.openimaj.math.model.fit.RANSAC.BestFitStoppingCondition
-
- init(List<?>, EstimatableModel<?, ?>) - Method in class org.openimaj.math.model.fit.RANSAC.NumberInliersStoppingCondition
-
- init(List<?>, EstimatableModel<?, ?>) - Method in class org.openimaj.math.model.fit.RANSAC.PercentageInliersStoppingCondition
-
- init(List<?>, EstimatableModel<?, ?>) - Method in class org.openimaj.math.model.fit.RANSAC.ProbabilisticMinInliersStoppingCondition
-
- init(List<?>, EstimatableModel<?, ?>) - Method in interface org.openimaj.math.model.fit.RANSAC.StoppingCondition
-
Initialise the stopping condition if necessary.
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.CurrentValueMean
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.FirstValueInitStrat
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.HardCodedInitStrat
-
- init(int, int) - Method in interface org.openimaj.ml.linear.learner.init.InitStrategy
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.MatlabFileInitStrat
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.RandomInitStrategy
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.SingleValueInitStrat
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.SparseOnesInitStrategy
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.SparseRandomInitStrategy
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.SparseRowOnesInitStrategy
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.SparseRowRandomInitStrategy
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.SparseSingleValueInitStrat
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.init.SparseZerosInitStrategy
-
- init(int, int) - Method in interface org.openimaj.ml.linear.learner.matlib.init.InitStrategy
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.matlib.init.SingleValueInitStrat
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.matlib.init.SparseSingleValueInitStrat
-
- init(int, int) - Method in class org.openimaj.ml.linear.learner.matlib.init.SparseZerosInitStrategy
-
- init(XuggleVideo) - Method in class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection.FramesPerSecond
-
- init(XuggleVideo) - Method in class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection
-
- init(InOutToolOptions) - Method in class org.openimaj.tools.reddit.SplitMode
-
- init() - Method in interface org.openimaj.twitter.RDFAnalysisProvider
-
Prepare yourself.
- init() - Method in class org.openimaj.video.AnimatedVideo
-
Called by the constructor.
- init(GLAutoDrawable) - Method in class org.openimaj.vis.general.BarVisualisation3D
- init(GLAutoDrawable) - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- init(GLAutoDrawable) - Method in class org.openimaj.vis.general.HeightMap3D
- init(GLAutoDrawable) - Method in class org.openimaj.vis.general.Rectangle3DPlotter
-
- init(GLAutoDrawable) - Method in class org.openimaj.vis.Visualisation3D
-
- init() - Method in class org.openimaj.web.readability.Readability
-
Runs readability.
- initCollection(ImageCollectionConfig) - Method in enum org.openimaj.tools.imagecollection.collection.config.ImageCollectionMode
-
- initFace(int) - Method in class org.openimaj.processing.OpenIMAJ
-
Initialise face detection with minimum face size
- InitialAntiAliasingSigma - Static variable in class org.openimaj.image.processing.transform.AffineSimulation
-
- initialise() - Static method in class org.openimaj.citation.CitationAgent
-
- initialise() - Static method in class org.openimaj.experiment.agent.ExperimentAgent
-
- initialise(DetectedFace) - Method in class org.openimaj.image.processing.face.feature.DoGSIFTFeature
-
- initialise(KEDetectedFace) - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
- initialise(FImage, FImage, int, int, int, int) - Method in class org.openimaj.image.processing.face.feature.LocalLBPHistogram
-
- initialise(double[][], double[][], boolean[]) - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Initialise the LMDR with the given data in three parallel data arrays.
- initialise() - Method in class org.openimaj.video.xuggle.XuggleVideoWriter
-
Initialise the writer
- initialiseFaceModel(MultiTracker.TrackedFace) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- initialiseModel(int, int, int) - Method in class org.openimaj.workinprogress.AdaptiveMoGBackgroundEstimator
-
Initialise the internal state of the model.
- initialiseTracking(Rectangle, MBFImage) - Method in class org.openimaj.video.processing.tracking.BasicMBFImageObjectTracker
-
Initialise the tracking with the given target area in the given image.
- initialiseTracking(Rectangle, FImage) - Method in class org.openimaj.video.processing.tracking.BasicObjectTracker
-
Initialise this tracker with a particular area on a particular
image.
- initialiseTracking(Rectangle, I) - Method in interface org.openimaj.video.processing.tracking.ObjectTracker
-
Initialise the tracking with the given target area in the given image.
- initialize(InputSplit, TaskAttemptContext) - Method in class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileRecordReader
-
- initialize(List<List<String>>) - Method in class org.openimaj.text.nlp.sentiment.model.classifier.GeneralSentimentFeatureExtractor
-
Allows a new vocabulary to be constructed from a new corpus.
- initializeNode(Element) - Method in class org.openimaj.web.readability.Readability
-
Initialize a node with the readability object.
- initializePhase(int) - Method in class org.openimaj.math.combinatorics.optimisation.HungarianAlgorithm
-
Initialize the next phase of the algorithm by clearing the committed
workers and jobs sets and by initializing the slack arrays to the values
corresponding to the specified root worker.
- initialSigma - Variable in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Assumed initial scale of the first image in each octave.
- initKMeans(DataSource<byte[]>, byte[][]) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeansInit
-
Initialise the centroids based on the given data.
- initKMeans(DataSource<byte[]>, byte[][]) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeansInit.RANDOM
-
- initKMeans(DataSource<double[]>, double[][]) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeansInit
-
Initialise the centroids based on the given data.
- initKMeans(DataSource<double[]>, double[][]) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeansInit.RANDOM
-
- initKMeans(DataSource<T>, T[]) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeansInit
-
Initialise the centroids based on the given data.
- initKMeans(DataSource<T>, T[]) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeansInit.RANDOM
-
- initKMeans(DataSource<float[]>, float[][]) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeansInit
-
Initialise the centroids based on the given data.
- initKMeans(DataSource<float[]>, float[][]) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeansInit.RANDOM
-
- initKMeans(DataSource<int[]>, int[][]) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeansInit
-
Initialise the centroids based on the given data.
- initKMeans(DataSource<int[]>, int[][]) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeansInit.RANDOM
-
- initKMeans(DataSource<long[]>, long[][]) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeansInit
-
Initialise the centroids based on the given data.
- initKMeans(DataSource<long[]>, long[][]) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeansInit.RANDOM
-
- initKMeans(DataSource<short[]>, short[][]) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeansInit
-
Initialise the centroids based on the given data.
- initKMeans(DataSource<short[]>, short[][]) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeansInit.RANDOM
-
- initMask() - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractFMMInpainter
-
- initMask() - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractImageMaskInpainter
-
Perform any initialisation once the mask has been set.
- initModel(LDAModel, Corpus) - Method in interface org.openimaj.pgm.vb.lda.mle.LDABetaInitStrategy
-
Given a model and the corpus initialise the model's sufficient statistics
- initModel(LDAModel, Corpus) - Method in class org.openimaj.pgm.vb.lda.mle.LDABetaInitStrategy.RandomBetaInit
-
- initShape(Rectangle, Matrix, Matrix) - Method in class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Initialise the shape within the given rectangle based on the given
reference shape.
- InitStrategy - Interface in org.openimaj.ml.linear.learner.init
-
Initialise a matrix to some dimension
- InitStrategy - Interface in org.openimaj.ml.linear.learner.matlib.init
-
Initialise a matrix to some dimension
- initTransforms() - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
- inliers - Variable in class org.openimaj.math.model.fit.LMedS
-
- inliers - Variable in class org.openimaj.math.model.fit.RANSAC
-
- InMemoryCombiningReducer() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.InMemoryCombiningReducer
-
default construct does nothing
- InMemoryGroupedListCache<KEY,OBJECT> - Class in org.openimaj.data.dataset.cache
-
- InMemoryGroupedListCache() - Constructor for class org.openimaj.data.dataset.cache.InMemoryGroupedListCache
-
- inner - Variable in class org.openimaj.util.function.context.ContextAdaptor
-
- innerAggregator - Variable in class org.openimaj.image.feature.local.aggregate.BlockSpatialAggregator
-
- innerAggregator - Variable in class org.openimaj.image.feature.local.aggregate.PyramidSpatialAggregator
-
- innerMatcher - Variable in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- InOutToolOptions - Class in org.openimaj.tools
-
A file tool reads and writes files and knows whether existing outputs should
be deleted
- InOutToolOptions() - Constructor for class org.openimaj.tools.InOutToolOptions
-
- inpaint(int, int, IMAGE) - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractFMMInpainter
-
Inpaint the specified pixel of the given image.
- inpaint(int, int, IMAGE) - Method in class org.openimaj.image.processing.restoration.inpainting.TeleaInpainting
-
- inpaint(int, int, FImage) - Method in class org.openimaj.image.processing.restoration.inpainting.TeleaInpainting
-
- inpaint(int, int, MBFImage) - Method in class org.openimaj.image.processing.restoration.inpainting.TeleaInpainting
-
- Inpainter<IMAGE extends Image<?,IMAGE>> - Interface in org.openimaj.image.processing.restoration.inpainting
-
Interface defining an implementation of an inpainting algorithm.
- input - Variable in class org.openimaj.hadoop.tools.globalfeature.HadoopGlobalFeaturesOptions
-
- input_file - Variable in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- INPUT_LOCATION - Static variable in class org.openimaj.ml.neuralnet.HandWritingNeuralNetENCOG
-
Default location of inputs
- INPUT_LOCATION - Static variable in class org.openimaj.ml.neuralnet.HandWritingNeuralNetSANDIA
-
Default location of inputs
- inputFiles - Variable in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- InputMode - Enum in org.openimaj.hadoop.tools.downloader
-
Different types of input file formats.
- InputMode.Parser - Class in org.openimaj.hadoop.tools.downloader
-
- inputs() - Method in class org.openimaj.hadoop.mapreduce.SingleStagedJob
-
- inputs() - Method in class org.openimaj.hadoop.mapreduce.StageRunner
-
- inputs - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- inputs() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingTool
-
- InputStreamFeeder - Class in org.openimaj.picslurper
-
Single threaded read an input stream and hand to a consumer
- InputStreamFeeder(PicSlurper) - Constructor for class org.openimaj.picslurper.InputStreamFeeder
-
Initialise a feeder on a slurper
- InputStreamObjectReader<T> - Interface in org.openimaj.io
-
Interface for classes capable of reading objects from a
InputStream
.
- INRIAPersonDataset - Class in org.openimaj.image.objectdetection.datasets
-
- INRIAPersonDataset() - Constructor for class org.openimaj.image.objectdetection.datasets.INRIAPersonDataset
-
- insert(T) - Method in class org.openimaj.knn.CoordinateBruteForce
-
- insert(T) - Method in interface org.openimaj.knn.CoordinateIndex
-
Insert a single coordinate into the index.
- insert(T) - Method in class org.openimaj.knn.CoordinateKDTree
-
Inserts a point into the tree, preserving the spatial ordering.
- insert - Variable in class org.openimaj.util.function.context.ContextAdaptor
-
- insert(T, Context) - Method in interface org.openimaj.util.function.context.ContextInsertor
-
Insert the object into the context
- insert(T, Context) - Method in class org.openimaj.util.function.context.KeyContextInsertor
-
- insert(byte[]) - Method in class org.openimaj.util.tree.IncrementalByteKDTree
-
Inserts a point into the tree, preserving the spatial ordering.
- insert(double[]) - Method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Inserts a point into the tree, preserving the spatial ordering.
- insert(float[]) - Method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
Inserts a point into the tree, preserving the spatial ordering.
- insert(int[]) - Method in class org.openimaj.util.tree.IncrementalIntKDTree
-
Inserts a point into the tree, preserving the spatial ordering.
- insert(long[]) - Method in class org.openimaj.util.tree.IncrementalLongKDTree
-
Inserts a point into the tree, preserving the spatial ordering.
- insert(short[]) - Method in class org.openimaj.util.tree.IncrementalShortKDTree
-
Inserts a point into the tree, preserving the spatial ordering.
- insertAll(Collection<T>) - Method in class org.openimaj.knn.CoordinateKDTree
-
Insert all the points from the given collection into the index.
- insertAll(Collection<byte[]>) - Method in class org.openimaj.util.tree.IncrementalByteKDTree
-
Insert all the points from the given collection into the index.
- insertAll(byte[][]) - Method in class org.openimaj.util.tree.IncrementalByteKDTree
-
Insert all the points from the given collection into the index.
- insertAll(Collection<double[]>) - Method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Insert all the points from the given collection into the index.
- insertAll(double[][]) - Method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Insert all the points from the given collection into the index.
- insertAll(Collection<float[]>) - Method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
Insert all the points from the given collection into the index.
- insertAll(float[][]) - Method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
Insert all the points from the given collection into the index.
- insertAll(Collection<int[]>) - Method in class org.openimaj.util.tree.IncrementalIntKDTree
-
Insert all the points from the given collection into the index.
- insertAll(int[][]) - Method in class org.openimaj.util.tree.IncrementalIntKDTree
-
Insert all the points from the given collection into the index.
- insertAll(Collection<long[]>) - Method in class org.openimaj.util.tree.IncrementalLongKDTree
-
Insert all the points from the given collection into the index.
- insertAll(long[][]) - Method in class org.openimaj.util.tree.IncrementalLongKDTree
-
Insert all the points from the given collection into the index.
- insertAll(Collection<short[]>) - Method in class org.openimaj.util.tree.IncrementalShortKDTree
-
Insert all the points from the given collection into the index.
- insertAll(short[][]) - Method in class org.openimaj.util.tree.IncrementalShortKDTree
-
Insert all the points from the given collection into the index.
- insertCount() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- insertCount() - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Returns the total number of items that have been inserted into this
BlockingDroppingQueue
within its lifetime.
- InstagramConsumer - Class in org.openimaj.web.scraping.images
-
Use the instagram api to download images
- InstagramConsumer() - Constructor for class org.openimaj.web.scraping.images.InstagramConsumer
-
- INSTANCE - Static variable in class org.openimaj.image.feature.FImage2DoubleFV
-
Static instance that can be used instead of creating new objects
- INSTANCE - Static variable in class org.openimaj.image.feature.FImage2FloatFV
-
Static instance that can be used instead of creating new objects
- INSTANCE - Static variable in class org.openimaj.image.pixel.FValuePixel.ReverseValueComparator
-
- INSTANCE - Static variable in class org.openimaj.image.pixel.FValuePixel.ValueComparator
-
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.BellFilter
-
The singleton instance of the filter
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.BoxFilter
-
The singleton instance of the filter
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.BSplineFilter
-
The singleton instance of the filter
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.CatmullRomFilter
-
The singleton instance of the filter
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.HermiteFilter
-
The singleton instance of the filter
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.Lanczos3Filter
-
The singleton instance of the filter
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.MitchellFilter
-
The singleton instance of the filter
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.PointFilter
-
The singleton instance of the filter
- INSTANCE - Static variable in class org.openimaj.image.processing.resize.filters.TriangleFilter
-
The singleton instance of the filter
- instance() - Static method in class org.openimaj.text.nlp.geocode.GeonamesIndex
-
- InstanceCachingIncrementalBatchAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation
-
- InstanceCachingIncrementalBatchAnnotator(BatchAnnotator<OBJECT, ANNOTATION>) - Constructor for class org.openimaj.ml.annotation.InstanceCachingIncrementalBatchAnnotator
-
Construct with an in-memory cache and the given batch annotator.
- InstanceCachingIncrementalBatchAnnotator(BatchAnnotator<OBJECT, ANNOTATION>, GroupedListCache<ANNOTATION, OBJECT>) - Constructor for class org.openimaj.ml.annotation.InstanceCachingIncrementalBatchAnnotator
-
Construct with the given batch annotator and cache implementation.
- instanceFromString(String) - Method in class org.openimaj.twitter.GeneralJSON
-
- instanceFromString(String) - Method in class org.openimaj.twitter.GeneralJSONRDF
-
- instanceFromString(String) - Method in class org.openimaj.twitter.GeneralJSONTwitter
-
- instanceFromString(String) - Method in class org.openimaj.twitter.GeneralJSONTwitterRawText
-
- instanceFromString(String) - Method in class org.openimaj.twitter.USMFStatus
-
- institution() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The institution that was involved in the publishing, but not necessarily the publisher
- Instrument - Interface in org.openimaj.audio
-
Interface for instruments that can play music.
- INT16_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT16_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT32_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT32_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT64_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT64_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT8_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT8_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_FAST16_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_FAST16_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_FAST32_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_FAST32_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_FAST64_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_FAST64_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_FAST8_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_FAST8_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_LEAST16_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_LEAST16_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_LEAST32_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_LEAST32_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_LEAST64_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_LEAST64_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_LEAST8_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INT_LEAST8_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- IntADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product
Quantised vectors.
- IntADCNearestNeighbours(IntProductQuantiser, int[][]) - Constructor for class org.openimaj.knn.pq.IntADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- IntADCNearestNeighbours(IntProductQuantiser, byte[][], int) - Constructor for class org.openimaj.knn.pq.IntADCNearestNeighbours
-
Construct the ADC with the given quantiser and pre-quantised data .
- IntArrayBackedDataSource - Class in org.openimaj.data
-
- IntArrayBackedDataSource(int[][]) - Constructor for class org.openimaj.data.IntArrayBackedDataSource
-
Construct with data
- IntArrayBackedDataSource(int[][], Random) - Constructor for class org.openimaj.data.IntArrayBackedDataSource
-
Construct with data and a random generator for random sampling
- IntArrayView - Class in org.openimaj.util.array
-
A wrapper around a java int array that allows
views onto the array to be created without the
overhead of maintaining copies of the data.
- IntArrayView(int[], int, int) - Constructor for class org.openimaj.util.array.IntArrayView
-
Create a view on the given array from l (inclusive) to
r (exclusive).
- IntArrayView(int[]) - Constructor for class org.openimaj.util.array.IntArrayView
-
Create a view on the entirety of the given array.
- IntArrayView(int) - Constructor for class org.openimaj.util.array.IntArrayView
-
Create a view on an array of length n.
- IntBytePair - Class in org.openimaj.util.pair
-
A pair of int and byte types
- IntBytePair(int, byte) - Constructor for class org.openimaj.util.pair.IntBytePair
-
Construct pair with given values
- IntBytePair() - Constructor for class org.openimaj.util.pair.IntBytePair
-
Construct empty pair
- IntBytesSequenceMemoryUtility - Class in org.openimaj.hadoop.tools.fastkmeans
-
- IntBytesSequenceMemoryUtility(String, boolean) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IntBytesSequenceMemoryUtility
-
- IntBytesSequenceMemoryUtility(String, SequenceFile.CompressionType, Map<String, String>) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IntBytesSequenceMemoryUtility
-
- IntBytesSequenceMemoryUtility(String, SequenceFile.CompressionType) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IntBytesSequenceMemoryUtility
-
- IntBytesSequenceMemoryUtility(URI, boolean) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IntBytesSequenceMemoryUtility
-
- IntBytesSequenceMemoryUtility(URI, SequenceFile.CompressionType, Map<String, String>) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IntBytesSequenceMemoryUtility
-
- IntBytesSequenceMemoryUtility(URI, SequenceFile.CompressionType) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.IntBytesSequenceMemoryUtility
-
- IntCauchyFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that use a Cauchy
distribution to approximate L1 distance.
- IntCauchyFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.IntCauchyFactory
-
Construct the factory with the given parameters.
- IntCentroidsResult - Class in org.openimaj.ml.clustering
-
- IntCentroidsResult() - Constructor for class org.openimaj.ml.clustering.IntCentroidsResult
-
- IntDoublePair - Class in org.openimaj.util.pair
-
A pair of int and double types
- IntDoublePair(int, double) - Constructor for class org.openimaj.util.pair.IntDoublePair
-
Construct pair with given values
- IntDoublePair() - Constructor for class org.openimaj.util.pair.IntDoublePair
-
Construct empty pair
- IntegerArrayValueAnimator - Class in org.openimaj.content.animation.animator
-
- IntegerArrayValueAnimator(ValueAnimator<Integer>...) - Constructor for class org.openimaj.content.animation.animator.IntegerArrayValueAnimator
-
- integerRange(double[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.ArrayIndexComparator
-
- integrationScale - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- intensityThreshold - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum difference in intensity for two letters to be considered to
be related
- interestPointData - Variable in class org.openimaj.image.feature.local.engine.ipd.InterestPointImageExtractorProperties
-
- InterestPointData - Class in org.openimaj.image.feature.local.interest
-
- InterestPointData() - Constructor for class org.openimaj.image.feature.local.interest.InterestPointData
-
- InterestPointDetector<T extends InterestPointData> - Interface in org.openimaj.image.feature.local.interest
-
A detector of interest points.
- InterestPointFeatureCollector<T extends InterestPointData> - Class in org.openimaj.image.feature.local.detector.ipd.collector
-
An interest point feature collector can be used to hold interest points found in an image.
- InterestPointFeatureCollector(InterestPointGradientFeatureExtractor) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.InterestPointFeatureCollector
-
- InterestPointGradientFeatureExtractor - Class in org.openimaj.image.feature.local.detector.ipd.extractor
-
- InterestPointGradientFeatureExtractor(AbstractDominantOrientationExtractor, GradientFeatureProviderFactory) - Constructor for class org.openimaj.image.feature.local.detector.ipd.extractor.InterestPointGradientFeatureExtractor
-
- InterestPointImageExtractorProperties<P,I extends Image<P,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.feature.local.engine.ipd
-
- InterestPointImageExtractorProperties(I, InterestPointData) - Constructor for class org.openimaj.image.feature.local.engine.ipd.InterestPointImageExtractorProperties
-
- InterestPointImageExtractorProperties(I, InterestPointData, boolean) - Constructor for class org.openimaj.image.feature.local.engine.ipd.InterestPointImageExtractorProperties
-
- InterestPointKeypoint<T extends InterestPointData> - Class in org.openimaj.image.feature.local.keypoints
-
- InterestPointKeypoint() - Constructor for class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
Construct with a null
location and default length feature
- InterestPointKeypoint(int) - Constructor for class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
Construct with a null
location and feature of the given
length
- InterestPointKeypoint(OrientedFeatureVector, T) - Constructor for class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
- InterestPointVisualiser<T,Q extends Image<T,Q> & SinglebandImageProcessor.Processable<Float,FImage,Q>> - Class in org.openimaj.image.feature.local.interest
-
- InterestPointVisualiser(Q, List<Ellipse>) - Constructor for class org.openimaj.image.feature.local.interest.InterestPointVisualiser
-
Image from which interest points were extract and the extracted points.
- internalAssign(WordDFIDFTimeSeriesCollection) - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeriesCollection
-
- internalAssign(FImage) - Method in class org.openimaj.image.FImage
-
Assign the internal state from another image of the same type.
- internalAssign(int[], int, int) - Method in class org.openimaj.image.FImage
-
Copy pixels from given ARGB buffer image into this image.
- internalAssign(I) - Method in class org.openimaj.image.Image
-
Assign the internal state from another image of the same type.
- internalAssign(int[], int, int) - Method in class org.openimaj.image.Image
-
Copy pixels from given ARGB buffer image into this image.
- internalAssign(byte[], int, int) - Method in class org.openimaj.image.MBFImage
-
Assign planar RGB bytes (R1G1B1R2G2B2...) to this image.
- internalAssign(int[], int, int) - Method in class org.openimaj.image.MBFImage
-
- internalAssign(I) - Method in class org.openimaj.image.MultiBandImage
-
Assign the internal state from another image of the same type.
- internalAssign(SVGImage) - Method in class org.openimaj.image.SVGImage
-
- internalAssign(int[], int, int) - Method in class org.openimaj.image.SVGImage
-
- internalAssign(TIMESERIES) - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- internalAssign(Collection<Long>, Collection<DATA>) - Method in interface org.openimaj.ml.timeseries.collection.TimeSeriesCollectionAssignable
-
Assign these values of data and time to the internal collection
- internalAssign(TS) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- internalAssign(long[], DATA[]) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- internalAssign(Collection<Long>, Collection<DATA>) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- internalAssign(DoubleTimeSeries) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- internalAssign(Collection<Long>, Collection<Double>) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- internalAssign(long[], double[]) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- internalAssign(DoubleTimeSeriesCollection) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeriesCollection
-
- internalAssign(RETURNTYPE) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- internalAssign(long[], DATA) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- internalCopy(FImage) - Method in class org.openimaj.image.FImage
-
Copy the internal state from another image of the same type.
- internalCopy(I) - Method in class org.openimaj.image.Image
-
Copy the internal state from another image of the same type.
- internalCopy(I) - Method in class org.openimaj.image.MultiBandImage
-
Copy the internal state from another image of the same type.
- internalCopy(SVGImage) - Method in class org.openimaj.image.SVGImage
-
- internalDoubleSize(FImage) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
- internalHalfSize(FImage) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
- InternalNearestNeighbours<DISTANCES> - Interface in org.openimaj.knn
-
Interface for K-nearest-neighbour implementations that are able to search
directly using an indexed item of their own internal data as the query.
- internalNewInstance() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeriesCollection
-
- internalNewInstance() - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- internalNewInstance() - Method in class org.openimaj.ml.timeseries.series.DoubleSynchronisedTimeSeriesCollection
-
- internalNewInstance() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeriesCollection
-
- internalTransformToOriginal(Point2d, int, int, float, float) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
- interpolate(float, float, FImage, Object) - Method in interface org.openimaj.image.analysis.algorithm.ImageInterpolation.Interpolator
-
Interpolate a pixel value
- interpolate(DoubleTimeSeries, long[]) - Method in class org.openimaj.ml.timeseries.processor.interpolation.LinearInterpolationProcessor
-
- interpolate(DoubleTimeSeries, long, long, long) - Method in class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- interpolate(DoubleTimeSeries, long, int, long) - Method in class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- interpolate(DoubleTimeSeries, long, long, int) - Method in class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- interpolate(DoubleTimeSeries) - Method in class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- interpolate(DoubleTimeSeries, long[]) - Method in class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- InterpolatedBinnedWindowedExtractor - Class in org.openimaj.image.analysis.algorithm.histogram
-
- InterpolatedBinnedWindowedExtractor(int) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
Construct with the given number of bins.
- InterpolatedBinnedWindowedExtractor(int, boolean) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
Construct with the given number of bins.
- InterpolatedBinnedWindowedExtractor(int, float, float) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
Construct with the given number of bins, and range.
- InterpolatedBinnedWindowedExtractor(int, float, float, boolean) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.InterpolatedBinnedWindowedExtractor
-
Construct with the given number of bins, and range.
- interpolatedPrecision() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
- interpolatedPrecision() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- interpolateSample(float, float, float, float) - Method in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
Spread the sample around the closest bins in the histogram.
- InterpolatingOctaveExtremaFinder - Class in org.openimaj.image.feature.local.detector.pyramid
-
Implementation of the method described in
"Invariant Features from Interest Point Groups" by Matthew Brown and David
Lowe (http://www.cs.ubc.ca/~lowe/papers/brown02.pdf) for improving the
localisation of interest points detected in a difference-of-Gaussian by
fitting a 3D quadratic to the scale-space Laplacian (approximated by the
difference-of-Gaussian pyramid).
- InterpolatingOctaveExtremaFinder() - Constructor for class org.openimaj.image.feature.local.detector.pyramid.InterpolatingOctaveExtremaFinder
-
- InterpolatingOctaveExtremaFinder(float) - Constructor for class org.openimaj.image.feature.local.detector.pyramid.InterpolatingOctaveExtremaFinder
-
- InterpolatingOctaveExtremaFinder(float, float, int) - Constructor for class org.openimaj.image.feature.local.detector.pyramid.InterpolatingOctaveExtremaFinder
-
Construct with the given magnitude and Eigenvalue thresholds andnumber of
iterations.
- Interpolation - Class in org.openimaj.math.util
-
Static methods for performing interpolation
- Interpolation() - Constructor for class org.openimaj.math.util.Interpolation
-
- interpolator - Variable in class org.openimaj.image.analysis.algorithm.ImageInterpolation
-
- InterruptibleCharSequence - Class in org.openimaj.utils.threads
-
CharSequence that noticed thread interrupts -- as might be necessary
to recover from a loose regex on unexpected challenging input.
- InterruptibleCharSequence(CharSequence) - Constructor for class org.openimaj.utils.threads.InterruptibleCharSequence
-
- intersect(Polygon) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Returns the intersection of this polygon and the given polygon.
- intersectEntries(SparseByteArray) - Method in class org.openimaj.util.array.SparseByteArray
-
Provide an iterator over the intersection of values present in
both this array and another array.
- intersectEntries(SparseDoubleArray) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Provide an iterator over the intersection of values present in
both this array and another array.
- intersectEntries(SparseFloatArray) - Method in class org.openimaj.util.array.SparseFloatArray
-
Provide an iterator over the intersection of values present in
both this array and another array.
- intersectEntries(SparseIntArray) - Method in class org.openimaj.util.array.SparseIntArray
-
Provide an iterator over the intersection of values present in
both this array and another array.
- intersectEntries(SparseLongArray) - Method in class org.openimaj.util.array.SparseLongArray
-
Provide an iterator over the intersection of values present in
both this array and another array.
- intersectEntries(SparseShortArray) - Method in class org.openimaj.util.array.SparseShortArray
-
Provide an iterator over the intersection of values present in
both this array and another array.
- intersection - Variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.JacardIndex
-
The number of words forming the intersection between now and historic
words
- intersection(Polygon, Polygon, Class<Polygon>) - Method in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
Return the intersection of p1
and p2
where the
return type is of polyClass
.
- intersection(Polygon, Polygon) - Method in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
Return the intersection of p1
and p2
where the
return type is of PolyDefault
.
- intersectionArea(Shape) - Method in class org.openimaj.math.geometry.shape.Circle
-
- intersectionArea(Shape, int) - Method in class org.openimaj.math.geometry.shape.Circle
-
- intersectionArea(Shape) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- intersectionArea(Shape, int) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- intersectionArea(Shape) - Method in class org.openimaj.math.geometry.shape.Polygon
-
- intersectionArea(Shape, int) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Return an estimate for the area of the intersection of this polygon and
another polygon.
- intersectionArea(Shape) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- intersectionArea(Shape, int) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- intersectionArea(Shape) - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- intersectionArea(Shape, int) - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- intersectionArea(Shape) - Method in interface org.openimaj.math.geometry.shape.Shape
-
- intersectionArea(Shape, int) - Method in interface org.openimaj.math.geometry.shape.Shape
-
Return an estimate for the area of the intersection of this polygon and
another polygon.
- intersectionArea(Shape) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- intersectionArea(Shape, int) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- intersectionPoint - Variable in class org.openimaj.math.geometry.line.Line2d.IntersectionResult
-
The point at which the lines intersect (if the type is INTERSECTING)
- IntersectionResult(Line2d.IntersectionType) - Constructor for class org.openimaj.math.geometry.line.Line2d.IntersectionResult
-
Construct the IntersectionResult with the given type
- IntersectionResult(Point2d) - Constructor for class org.openimaj.math.geometry.line.Line2d.IntersectionResult
-
Construct the IntersectionResult with the given intersection point
- intersectionSides(Line2d) - Method in class org.openimaj.math.geometry.shape.Triangle
-
The intersection of this triangle with the line defined by y = mx + c.
- IntersectionUnionMap() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord.IntersectionUnionMap
-
- IntersectionUnionReduce() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord.IntersectionUnionReduce
-
- intersectRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Ratio of vertical intersection for character pairing.
- IntervalSummationProcessor<ALLDATA,DATA,TS extends TimeSeries<ALLDATA,DATA,TS> & TimeSeriesArithmaticOperator<DATA,TS> & TimeSeriesCollectionAssignable<DATA,TS>> - Class in org.openimaj.ml.timeseries.processor
-
Given time step calculate each timestep such that
value[timeStep(x)] = sum from x-1 to x as n [ timeStep(n) ]
The exact meaning of "sum" for any given timestep data must be defined.
- IntervalSummationProcessor(long[]) - Constructor for class org.openimaj.ml.timeseries.processor.IntervalSummationProcessor
-
A processor which maps across given time steps
- IntFloatPair - Class in org.openimaj.util.pair
-
A pair of int and float types
- IntFloatPair(int, float) - Constructor for class org.openimaj.util.pair.IntFloatPair
-
Construct pair with given values
- IntFloatPair() - Constructor for class org.openimaj.util.pair.IntFloatPair
-
Construct empty pair
- IntFV - Class in org.openimaj.feature
-
Basic int single-dimensional feature vector implementation
- IntFV() - Constructor for class org.openimaj.feature.IntFV
-
Construct an empty feature vector
- IntFV(int) - Constructor for class org.openimaj.feature.IntFV
-
Construct empty FV with given number of bins
- IntFV(int[]) - Constructor for class org.openimaj.feature.IntFV
-
Construct from flattened values array and dimensions
- IntFVComparator - Interface in org.openimaj.feature
-
Comparison/distance methods for IntFV objects.
- IntFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for IntFV objects.
- IntGaussianFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions using Gaussian
distributions to approximate the Euclidean distance.
- IntGaussianFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.IntGaussianFactory
-
Construct with the given parameters.
- IntHammingFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that approximate the
Hamming distance.
- IntHammingFactory(int, MersenneTwister, int) - Constructor for class org.openimaj.lsh.functions.IntHammingFactory
-
Construct a new factory using the given parameters.
- IntHashFunction - Class in org.openimaj.lsh.functions
-
- IntHashFunctionFactory - Class in org.openimaj.lsh.functions
-
- IntHashFunctionFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.IntHashFunctionFactory
-
- IntHyperplaneCosineFactory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate cosine
distance using hyperplanes.
- IntHyperplaneCosineFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.IntHyperplaneCosineFactory
-
Construct with the given arguments.
- IntHyperplaneL1Factory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate L1
(city-block) distance in closed spaces using random axis-aligned hyperplanes.
- IntHyperplaneL1Factory(int, MersenneTwister, int, int) - Constructor for class org.openimaj.lsh.functions.IntHyperplaneL1Factory
-
Construct with the given arguments.
- IntIntPair - Class in org.openimaj.util.pair
-
A pair of int and int types
- IntIntPair(int, int) - Constructor for class org.openimaj.util.pair.IntIntPair
-
Construct pair with given values
- IntIntPair() - Constructor for class org.openimaj.util.pair.IntIntPair
-
Construct empty pair
- IntKDTree - Class in org.openimaj.util.tree
-
Immutable KD-Tree implementation for int[] data.
- IntKDTree(int[][]) - Constructor for class org.openimaj.util.tree.IntKDTree
-
- IntKDTree(int[][], IntKDTree.SplitChooser) - Constructor for class org.openimaj.util.tree.IntKDTree
-
Construct with the given data and splitting strategy
- IntKDTree.ApproximateBBFMedianSplit - Class in org.openimaj.util.tree
-
Approximate best-bin-first median splitting.
- IntKDTree.BasicMedianSplit - Class in org.openimaj.util.tree
-
Basic median split.
- IntKDTree.BBFMedianSplit - Class in org.openimaj.util.tree
-
Best-bin-first median splitting.
- IntKDTree.KDTreeNode - Class in org.openimaj.util.tree
-
An internal node of the KDTree
- IntKDTree.RandomisedBBFMeanSplit - Class in org.openimaj.util.tree
-
Randomised best-bin-first splitting strategy:
Nodes with less than a set number of items become leafs.
- IntKDTree.SplitChooser - Interface in org.openimaj.util.tree
-
Interface for describing how a branch in the KD-Tree should be created
- IntKDTreeEnsemble - Class in org.openimaj.knn.approximate
-
Ensemble of Best-Bin-First KDTrees for int data.
- IntKDTreeEnsemble(int[][]) - Constructor for class org.openimaj.knn.approximate.IntKDTreeEnsemble
-
Construct a IntKDTreeEnsemble with the provided data,
using the default of 8 trees.
- IntKDTreeEnsemble(int[][], int) - Constructor for class org.openimaj.knn.approximate.IntKDTreeEnsemble
-
Construct a IntKDTreeEnsemble with the provided data and
number of trees.
- IntKDTreeEnsemble(int[][], int, int) - Constructor for class org.openimaj.knn.approximate.IntKDTreeEnsemble
-
Construct a IntKDTreeEnsemble with the provided data and
number of trees.
- IntKDTreeEnsemble.IntKDTreeNode - Class in org.openimaj.knn.approximate
-
An internal node of the KDTree
- IntKDTreeNode() - Constructor for class org.openimaj.knn.approximate.IntKDTreeEnsemble.IntKDTreeNode
-
Construct a new node
- IntKDTreeNode(int[][], IntArrayView, Uniform) - Constructor for class org.openimaj.knn.approximate.IntKDTreeEnsemble.IntKDTreeNode
-
Construct a new node with the given data
- IntKMeans - Class in org.openimaj.ml.clustering.kmeans
-
Fast, parallel implementation of the K-Means algorithm with support for
bigger-than-memory data.
- IntKMeans(KMeansConfiguration<IntNearestNeighbours, int[]>) - Constructor for class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Construct the clusterer with the the given configuration.
- IntKMeans() - Constructor for class org.openimaj.ml.clustering.kmeans.IntKMeans
-
A completely default
IntKMeans
used primarily as a convenience function for reading.
- IntKMeans.Result - Class in org.openimaj.ml.clustering.kmeans
-
Result object for IntKMeans, extending IntCentroidsResult and IntNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
- IntKMeansInit - Class in org.openimaj.ml.clustering.kmeans
-
Initialisation for K-Means clustering.
- IntKMeansInit() - Constructor for class org.openimaj.ml.clustering.kmeans.IntKMeansInit
-
- IntKMeansInit.RANDOM - Class in org.openimaj.ml.clustering.kmeans
-
Simple kmeans initialized on randomly selected samples.
- IntKNNAssigner - Class in org.openimaj.ml.clustering.assignment.soft
-
A
SoftAssigner
that picks a fixed number of nearest neighbours.
- IntKNNAssigner(CentroidsProvider<int[]>, boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
Construct the assigner using the given cluster data.
- IntKNNAssigner(int[][], boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
Construct the assigner using the given cluster data.
- IntKNNAssigner(CentroidsProvider<int[]>, IntFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- IntKNNAssigner(int[][], IntFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- IntLongPair - Class in org.openimaj.util.pair
-
A pair of int and long types
- IntLongPair(int, long) - Constructor for class org.openimaj.util.pair.IntLongPair
-
Construct pair with given values
- IntLongPair() - Constructor for class org.openimaj.util.pair.IntLongPair
-
Construct empty pair
- IntLSHSketcher<OBJECT> - Class in org.openimaj.lsh.sketch
-
A
Sketcher
that produces bit-string sketches encoded as int arrays.
- IntLSHSketcher(List<HashFunction<OBJECT>>) - Constructor for class org.openimaj.lsh.sketch.IntLSHSketcher
-
Construct with the given functions.
- IntLSHSketcher(HashFunction<OBJECT>, HashFunction<OBJECT>...) - Constructor for class org.openimaj.lsh.sketch.IntLSHSketcher
-
Construct with the given functions.
- IntLSHSketcher(HashFunctionFactory<OBJECT>, int) - Constructor for class org.openimaj.lsh.sketch.IntLSHSketcher
-
Construct with the factory which is used to produce the required number
of functions.
- INTMAX_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INTMAX_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- IntNearestNeighbours - Class in org.openimaj.knn
-
Abstract base class for k-nearest-neighbour calculations with int[] data.
- IntNearestNeighbours() - Constructor for class org.openimaj.knn.IntNearestNeighbours
-
- IntNearestNeighboursExact - Class in org.openimaj.knn
-
Exact (brute-force) k-nearest-neighbour implementation.
- IntNearestNeighboursExact(int[][]) - Constructor for class org.openimaj.knn.IntNearestNeighboursExact
-
Construct the IntNearestNeighboursExact over the provided
dataset and using Euclidean distance.
- IntNearestNeighboursExact(int[][], IntFVComparator) - Constructor for class org.openimaj.knn.IntNearestNeighboursExact
-
Construct the IntNearestNeighboursExact over the provided
dataset with the given distance function.
- IntNearestNeighboursExact.Factory - Class in org.openimaj.knn
-
- IntNearestNeighboursKDTree - Class in org.openimaj.knn.approximate
-
Fast Nearest-Neighbours for int data using an ensemble of Best-Bin-First KDTrees.
- IntNearestNeighboursKDTree(int[][], int, int) - Constructor for class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
Construct the IntNearestNeighboursKDTree with the given options.
- IntNearestNeighboursKDTree.Factory - Class in org.openimaj.knn.approximate
-
- IntNearestNeighboursProvider - Interface in org.openimaj.knn
-
Interface for classes able to expose a k-nearest-neighbour object.
- IntObjectPair<Q> - Class in org.openimaj.util.pair
-
A pair of int and a generic type
- IntObjectPair(int, Q) - Constructor for class org.openimaj.util.pair.IntObjectPair
-
Construct pair with given values
- IntObjectPair() - Constructor for class org.openimaj.util.pair.IntObjectPair
-
Construct empty pair
- IntProductQuantiser - Class in org.openimaj.knn.pq
-
Implementation of a Product Quantiser for vectors/arrays of ints.
- IntProductQuantiser(IntNearestNeighboursExact[]) - Constructor for class org.openimaj.knn.pq.IntProductQuantiser
-
- IntProductQuantiserUtilities - Class in org.openimaj.knn.pq
-
- IntPStableFactory - Class in org.openimaj.lsh.functions
-
Base class for hashing schemes based on P-Stable distributions.
- IntPStableFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.IntPStableFactory
-
Construct with the given parameters.
- IntPStableFactory.PStableFunction - Class in org.openimaj.lsh.functions
-
- INTPTR_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- INTPTR_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- IntRAC - Class in org.openimaj.ml.clustering.rac
-
- IntRAC() - Constructor for class org.openimaj.ml.clustering.rac.IntRAC
-
Sets the threshold to 128
- IntRAC(double) - Constructor for class org.openimaj.ml.clustering.rac.IntRAC
-
Define the threshold at which point a new cluster will be made.
- IntRAC(int[][], int, int) - Constructor for class org.openimaj.ml.clustering.rac.IntRAC
-
Iteratively select subSamples from bKeys and try to choose a threshold
which results in nClusters.
- IntRandomForest - Class in org.openimaj.ml.clustering.rforest
-
An implementation of the RandomForest clustering algorithm proposed by
Jurie et al.
- IntRandomForest() - Constructor for class org.openimaj.ml.clustering.rforest.IntRandomForest
-
Makes a default random forest with 32 trees each with 32 decisions.
- IntRandomForest(int, int) - Constructor for class org.openimaj.ml.clustering.rforest.IntRandomForest
-
Makes a random forest with nTrees each with nDecisions.
- intrinsicParameters - Variable in class org.openimaj.image.camera.Camera
-
The intrinsic parameters of this camera
- IntSDCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Symmetric Distance Computation (SDC) on Product
Quantised vectors.
- IntSDCNearestNeighbours(IntProductQuantiser, int[][][], int[][]) - Constructor for class org.openimaj.knn.pq.IntSDCNearestNeighbours
-
Construct the SDC with the given quantiser, centroids (corresponding to
the quantiser's internal assigners), and data.
- IntShortPair - Class in org.openimaj.util.pair
-
A pair of int and short types
- IntShortPair(int, short) - Constructor for class org.openimaj.util.pair.IntShortPair
-
Construct pair with given values
- IntShortPair() - Constructor for class org.openimaj.util.pair.IntShortPair
-
Construct empty pair
- intToByte(int[]) - Static method in class org.openimaj.util.array.ByteArrayConverter
-
Convert the given int array to an array of bytes.
- intToByte(int[][]) - Static method in class org.openimaj.util.array.ByteArrayConverter
-
Convert the given 2d int array to a 2d array of bytes.
- intToT(int) - Method in class org.openimaj.image.MBFImage
-
- intToT(int) - Method in class org.openimaj.image.MultiBandImage
-
Converts the given integer to a value that can be used as a pixel value.
- IntValuePixel - Class in org.openimaj.image.pixel
-
Represents a pixel location.
- IntValuePixel(int, int) - Constructor for class org.openimaj.image.pixel.IntValuePixel
-
Default constructor
- IntValuePixel(int, int, int) - Constructor for class org.openimaj.image.pixel.IntValuePixel
-
Constructor that takes the location and value of the
pixel.
- INVALID_TWEET_COUNT - Static variable in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
If the ntweets is set to this value, the ntweets should be ignored
- InvalidSentimentException - Exception in org.openimaj.text.nlp.sentiment.type
-
Your sentiment was invalid
- InvalidSentimentException(String) - Constructor for exception org.openimaj.text.nlp.sentiment.type.InvalidSentimentException
-
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_1D
-
Computes 1D inverse DCT (DCT-III) leaving the result in a
.
- inverse(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_1D
-
Computes 1D inverse DCT (DCT-III) leaving the result in a
.
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_2D
-
Computes 2D inverse DCT (DCT-III) leaving the result in a
.
- inverse(double[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_2D
-
Computes 2D inverse DCT (DCT-III) leaving the result in a
.
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_3D
-
Computes the 3D inverse DCT (DCT-III) leaving the result in
a
.
- inverse(double[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.DoubleDCT_3D
-
Computes the 3D inverse DCT (DCT-III) leaving the result in
a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_1D
-
Computes 1D inverse DCT (DCT-III) leaving the result in a
.
- inverse(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_1D
-
Computes 1D inverse DCT (DCT-III) leaving the result in a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_2D
-
Computes 2D inverse DCT (DCT-III) leaving the result in a
.
- inverse(float[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_2D
-
Computes 2D inverse DCT (DCT-III) leaving the result in a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_3D
-
Computes the 3D inverse DCT (DCT-III) leaving the result in
a
.
- inverse(float[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dct.FloatDCT_3D
-
Computes the 3D inverse DCT (DCT-III) leaving the result in
a
.
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_1D
-
Computes 1D real, inverse DHT leaving the result in a
.
- inverse(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_1D
-
Computes 1D real, inverse DHT leaving the result in a
.
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_2D
-
Computes 2D real, inverse DHT leaving the result in a
.
- inverse(double[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_2D
-
Computes 2D real, inverse DHT leaving the result in a
.
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_3D
-
Computes the 3D real, inverse DHT leaving the result in a
.
- inverse(double[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.DoubleDHT_3D
-
Computes the 3D real, inverse DHT leaving the result in a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_1D
-
Computes 1D real, inverse DHT leaving the result in a
.
- inverse(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_1D
-
Computes 1D real, inverse DHT leaving the result in a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_2D
-
Computes 2D real, inverse DHT leaving the result in a
.
- inverse(float[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_2D
-
Computes 2D real, inverse DHT leaving the result in a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_3D
-
Computes the 3D real, inverse DHT leaving the result in a
.
- inverse(float[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dht.FloatDHT_3D
-
Computes the 3D real, inverse DHT leaving the result in a
.
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_1D
-
Computes 1D inverse DST (DST-III) leaving the result in a
.
- inverse(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_1D
-
Computes 1D inverse DST (DST-III) leaving the result in a
.
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_2D
-
Computes 2D inverse DST (DST-III) leaving the result in a
.
- inverse(double[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_2D
-
Computes 2D inverse DST (DST-III) leaving the result in a
.
- inverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_3D
-
Computes the 3D inverse DST (DST-III) leaving the result in
a
.
- inverse(double[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.DoubleDST_3D
-
Computes the 3D inverse DST (DST-III) leaving the result in
a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_1D
-
Computes 1D inverse DST (DST-III) leaving the result in a
.
- inverse(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_1D
-
Computes 1D inverse DST (DST-III) leaving the result in a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_2D
-
Computes 2D inverse DST (DST-III) leaving the result in a
.
- inverse(float[][], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_2D
-
Computes 2D inverse DST (DST-III) leaving the result in a
.
- inverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_3D
-
Computes the 3D inverse DST (DST-III) leaving the result in
a
.
- inverse(float[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.dst.FloatDST_3D
-
Computes the 3D inverse DST (DST-III) leaving the result in
a
.
- inverse() - Method in class org.openimaj.image.FImage
-
Invert the image pixels by finding the maximum value and subtracting each
pixel value from that maximum.
- inverse() - Method in class org.openimaj.image.Image
-
Invert the image pixels by finding the maximum value and subtracting each
pixel value from that maximum.
- inverse() - Method in class org.openimaj.image.MultiBandImage
-
Invert the image pixels by finding the maximum value and subtracting each
pixel value from that maximum.
- inverse() - Method in class org.openimaj.image.processing.algorithm.FourierTransform
-
Perform the inverse FFT using the underlying magnitude and phase images.
- inverse() - Method in class org.openimaj.image.processing.algorithm.FourierTransformComplex
-
Perform the inverse FFT using the underlying magnitude and phase images.
- inverse() - Method in class org.openimaj.image.SVGImage
-
- InverseComparableComparator<T extends Comparable<T>> - Class in org.openimaj.util.comparator
-
- InverseComparableComparator() - Constructor for class org.openimaj.util.comparator.InverseComparableComparator
-
- inverseTransform(AudioFormat, float[][]) - Static method in class org.openimaj.audio.analysis.FourierTransform
-
Given some transformed audio data, will convert it back into
a sample chunk.
- invert(int[][]) - Static method in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterAnalyserUtils
-
Map index to cluster from cluster array
- invert(LocalFeatureListIndex<K, T>) - Static method in class org.openimaj.feature.local.list.LocalFeatureListIndex
-
Invert an index of quantised features.
- InvertData - Class in org.openimaj.math.matrix.similarity.processor
-
A similarity matrix processor that sets inverts all values
by setting the smallest to the biggest, etc.
- InvertData() - Constructor for class org.openimaj.math.matrix.similarity.processor.InvertData
-
Default constructor.
- InvertedPriorityQueue<T> - Class in org.openimaj.util.queue
-
This class provides an inverted
PriorityQueue
implementation, where
objects that are higher (according to the provided
Comparator
or the
natural order) come first.
- InvertedPriorityQueue() - Constructor for class org.openimaj.util.queue.InvertedPriorityQueue
-
Creates a
InvertedPriorityQueue
with the default initial capacity
(11) that orders its elements according to their inverted
natural ordering.
- InvertedPriorityQueue(int, Comparator<? super T>) - Constructor for class org.openimaj.util.queue.InvertedPriorityQueue
-
Creates a InvertedPriorityQueue
with the specified initial
capacity that orders its elements according to the inverse of the
specified comparator.
- InvertedPriorityQueue(int) - Constructor for class org.openimaj.util.queue.InvertedPriorityQueue
-
Creates a
InvertedPriorityQueue
with the specified initial
capacity that orders its elements according to their inverse
natural ordering.
- invoke(Object, Method, Object[]) - Method in class org.openimaj.citation.annotation.mock.MockReference
-
- invoke(Object, Method, Object[]) - Method in class org.openimaj.stream.provider.twitter.QueryHoldingStatus
-
- invokeMethod(String, Object) - Method in class org.openimaj.hardware.gps.NMEAMessage
-
- invokeMethod(String, Object) - Method in class org.openimaj.hardware.gps.NMEAParser
-
- invokeMethod(String, Object) - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- invSqrtSym(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the inverse square root, X, of the symmetric matrix A; A^-(1/2)
- IO - Class in com.jsaragih
-
IO Utilities
- IO() - Constructor for class com.jsaragih.IO
-
- IO.Types - Enum in com.jsaragih
-
Types of object
- IOUtils - Class in edu.emory.mathcs.utils
-
I/O utilities.
- IOUtils - Class in org.openimaj.io
-
Methods for reading Readable objects and writing Writeable objects.
- IOUtils() - Constructor for class org.openimaj.io.IOUtils
-
- ip_address - Variable in class orgrdfs.sioc.ns.ItemImpl
-
The IP address used when creating this Item.
- IPDRepeatability<T extends InterestPointData> - Class in org.openimaj.image.feature.local.interest.experiment
-
An interest point repeatability as originally implemented
here.
- IPDRepeatability() - Constructor for class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
- IPDRepeatability(Image<?, ?>, Image<?, ?>, List<Ellipse>, List<Ellipse>, Matrix) - Constructor for class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Check the repeatability against two imags, two sets of points and a
homography between the two images.
- IPDRepeatability(File, File, InterestPointDetector<T>, File) - Constructor for class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Check the repeatability between two images from files, an interest point
detector used to find the feature points in the images and a homography
from a file.
- IPDRepeatability(MBFImage, MBFImage, InterestPointDetector<T>, InputStream) - Constructor for class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Two images, features extracted using ipd, homography found in stream.
- IPDRepeatability(MBFImage, MBFImage, InterestPointDetector<T>, Matrix) - Constructor for class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Two images, features extracted using ipd, homography matrix between the
two images
- IPDRepeatability(List<Ellipse>, List<Ellipse>, Matrix) - Constructor for class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
- IPDRepeatability.ScoredPair<B extends Comparable<B>,T extends Pair<B>> - Class in org.openimaj.image.feature.local.interest.experiment
-
A pair of matching features with a score
- IPDSelectionMode - Interface in org.openimaj.image.feature.local.interest
-
- IPDSelectionMode.All - Class in org.openimaj.image.feature.local.interest
-
- IPDSelectionMode.Count - Class in org.openimaj.image.feature.local.interest
-
- IPDSelectionMode.Threshold - Class in org.openimaj.image.feature.local.interest
-
- IPDSIFTEngine - Class in org.openimaj.image.feature.local.engine.ipd
-
- IPDSIFTEngine(MultiscaleInterestPointDetector<InterestPointData>) - Constructor for class org.openimaj.image.feature.local.engine.ipd.IPDSIFTEngine
-
- IREval - Class in org.lemurproject.ireval
-
A trec_eval style tool in pure java.
- IREval() - Constructor for class org.lemurproject.ireval.IREval
-
- IREvalAnalyser<QUERY,DOCUMENT extends Identifiable> - Class in org.openimaj.experiment.evaluation.retrieval.analysers
-
An evaluator suitable for any kind of result document from the
RetrievalEngine
.
- IREvalAnalyser() - Constructor for class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalAnalyser
-
- IREvalResult - Class in org.openimaj.experiment.evaluation.retrieval.analysers
-
- IREvalResult(SetRetrievalEvaluator) - Constructor for class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalResult
-
- IRI - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Internal right intermediate
- IrregularBinningSIFTFeatureProvider - Class in org.openimaj.image.feature.local.descriptor.gradient
-
- IrregularBinningSIFTFeatureProvider() - Constructor for class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
Construct a IrregularBinningSIFTFeatureExtractor with the default
parameters.
- IrregularBinningSIFTFeatureProvider(int) - Constructor for class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
Construct a IrregularBinningSIFTFeatureExtractor with the default
parameters.
- IrregularBinningSIFTFeatureProvider(int, float) - Constructor for class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
Construct a IrregularBinningSIFTFeatureExtractor with the default
parameters.
- irrelevantRetrievedDocuments() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
This method returns a list of all documents that were retrieved
but assumed to be irrelevant.
- is_set_age() - Method in class net.lag.kestrel.thrift.QueueInfo
-
Returns true if field age is set (has been assigned a value) and false
otherwise
- is_set_auto_abort_msec() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
Returns true if field auto_abort_msec is set (has been assigned a
value) and false otherwise
- is_set_bytes() - Method in class net.lag.kestrel.thrift.QueueInfo
-
Returns true if field bytes is set (has been assigned a value) and false
otherwise
- is_set_data() - Method in class net.lag.kestrel.thrift.Item
-
Returns true if field data is set (has been assigned a value) and false
otherwise
- is_set_expiration_msec() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
Returns true if field expiration_msec is set (has been assigned a
value) and false otherwise
- is_set_head_item() - Method in class net.lag.kestrel.thrift.QueueInfo
-
Returns true if field head_item is set (has been assigned a value) and
false otherwise
- is_set_id() - Method in class net.lag.kestrel.thrift.Item
-
Returns true if field id is set (has been assigned a value) and false
otherwise
- is_set_ids() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
Returns true if field ids is set (has been assigned a value) and
false otherwise
- is_set_ids() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
Returns true if field ids is set (has been assigned a value) and
false otherwise
- is_set_items() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
Returns true if field items is set (has been assigned a value) and
false otherwise
- is_set_items() - Method in class net.lag.kestrel.thrift.QueueInfo
-
Returns true if field items is set (has been assigned a value) and false
otherwise
- is_set_journal_bytes() - Method in class net.lag.kestrel.thrift.QueueInfo
-
Returns true if field journal_bytes is set (has been assigned a value)
and false otherwise
- is_set_max_items() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
Returns true if field max_items is set (has been assigned a value)
and false otherwise
- is_set_open_transactions() - Method in class net.lag.kestrel.thrift.QueueInfo
-
Returns true if field open_transactions is set (has been assigned a
value) and false otherwise
- is_set_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
Returns true if field queue_name is set (has been assigned a value)
and false otherwise
- is_set_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
Returns true if field queue_name is set (has been assigned a value)
and false otherwise
- is_set_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
Returns true if field queue_name is set (has been assigned a value)
and false otherwise
- is_set_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
Returns true if field queue_name is set (has been assigned a value)
and false otherwise
- is_set_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
Returns true if field queue_name is set (has been assigned a value)
and false otherwise
- is_set_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
Returns true if field queue_name is set (has been assigned a value)
and false otherwise
- is_set_queue_name() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
Returns true if field queue_name is set (has been assigned a value)
and false otherwise
- is_set_success() - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
Returns true if field success is set (has been assigned a value) and
false otherwise
- is_set_success() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
Returns true if field success is set (has been assigned a value) and
false otherwise
- is_set_success() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
Returns true if field success is set (has been assigned a value) and
false otherwise
- is_set_success() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
Returns true if field success is set (has been assigned a value) and
false otherwise
- is_set_success() - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
Returns true if field success is set (has been assigned a value) and
false otherwise
- is_set_success() - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
Returns true if field success is set (has been assigned a value) and
false otherwise
- is_set_timeout_msec() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
Returns true if field timeout_msec is set (has been assigned a value)
and false otherwise
- is_set_waiters() - Method in class net.lag.kestrel.thrift.QueueInfo
-
Returns true if field waiters is set (has been assigned a value) and
false otherwise
- is_valid() - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- is_valid(byte) - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- isAllowResize() - Method in class org.openimaj.vis.VisualisationImpl
-
Whether this visualisation can be resized.
- isAlwaysOnTop() - Method in class org.openimaj.vis.general.JOGLWindow
-
- isAsciiMode() - Method in class org.openimaj.tools.localfeature.options.SharedOptions
-
- isAutoPositionXAxis() - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
- isAutoScale() - Method in class org.openimaj.vis.general.AxisConfig
-
Whether the axis should attempt to auto scale to fit the view
- isAutoScale() - Method in class org.openimaj.vis.general.BarVisualisation
-
Returns whether the bars are auto scaling
- isAutoScale() - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- isAutoScale() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Returns whether the bars are auto scaling
- isAutoScale() - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- isAutoScaleAxes() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- isAutoScaleAxes() - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
- isAutoSpaceLabels() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- isAutoSpaceTicks() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- isAvoidOverlaps() - Method in class org.openimaj.vis.general.LabelledPointVisualisation
-
- isAxisAlwaysVisible() - Method in class org.openimaj.vis.general.BarVisualisation
-
Whether the axis is always visible
- isAxisAlwaysVisible() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Whether the axis is always visible
- isBatchedSampleMode() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- isBigEndian() - Method in class org.openimaj.audio.AudioFormat
-
Returns whether the data is big or little endian.
- isBinary(File, byte[]) - Static method in class org.openimaj.io.IOUtils
-
Opens an input stream and calls input stream version
- isBinary(BufferedInputStream, T) - Static method in class org.openimaj.io.IOUtils
-
Extracts the binary header from object and calls the byte[] version
- isBinary(BufferedInputStream, byte[]) - Static method in class org.openimaj.io.IOUtils
-
Checks whether a given input stream contains readable binary information
by checking for the first header.length bytes == header.
- isBinary - Variable in class org.openimaj.util.list.AbstractFileBackedList
-
- isBinary - Variable in class org.openimaj.util.list.AbstractStreamBackedList
-
Does the stream hold binary data (as opposed to ASCII)
- isBlockSupport(Set<Pixel>) - Static method in class org.openimaj.image.processing.algorithm.FilterSupport
-
Test whether the given support is a centred block
- isCalculateFPS() - Method in class org.openimaj.video.VideoDisplay
-
Returns whether the frames per second are being calculated at every
frame.
- isCalledAlliasQuery(String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- isCentre() - Method in class org.openimaj.image.processing.algorithm.FourierTransform
-
- isCentre() - Method in class org.openimaj.image.processing.algorithm.FourierTransformComplex
-
- isCentreBarsOnValues() - Method in class org.openimaj.vis.general.BarVisualisation
-
- isClockwise() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Test (outer) polygon path direction
- isClosed() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Is the polygon closed (i.e.
- isComplete() - Method in class org.openimaj.content.animation.animator.TimeBasedValueAnimator
-
Returns whether the animator has completed
- isComplete() - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Returns whether the spectragram image is complete.
- isContainedBy(byte[], byte[]) - Method in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
Test whether the bounds of this node are fully contained by the
hyperrectangle described by the given bounds.
- isContainedBy(double[], double[]) - Method in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
Test whether the bounds of this node are fully contained by the
hyperrectangle described by the given bounds.
- isContainedBy(float[], float[]) - Method in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
Test whether the bounds of this node are fully contained by the
hyperrectangle described by the given bounds.
- isContainedBy(int[], int[]) - Method in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
Test whether the bounds of this node are fully contained by the
hyperrectangle described by the given bounds.
- isContainedBy(long[], long[]) - Method in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
Test whether the bounds of this node are fully contained by the
hyperrectangle described by the given bounds.
- isContainedBy(short[], short[]) - Method in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
Test whether the bounds of this node are fully contained by the
hyperrectangle described by the given bounds.
- isContent() - Method in class org.openimaj.web.layout.ElementInfo
-
- isContinue() - Method in class org.openimaj.tools.InOutToolOptions
-
- isConvex() - Method in class org.openimaj.math.geometry.shape.Circle
-
- isConvex() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- isConvex() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Test if the outer polygon is convex.
- isConvex() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- isConvex() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- isConvex() - Method in interface org.openimaj.math.geometry.shape.Shape
-
Test if the shape is convex.
- isConvex() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- isCreateMode() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- isDate() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isDebug() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isDecay() - Method in class org.openimaj.vis.audio.AudioWaveform
-
Returns whether decay is set
- isDisjointFrom(byte[], byte[]) - Method in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
Test whether the bounds of this node are disjoint from the
hyperrectangle described by the given bounds.
- isDisjointFrom(double[], double[]) - Method in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
Test whether the bounds of this node are disjoint from the
hyperrectangle described by the given bounds.
- isDisjointFrom(float[], float[]) - Method in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
Test whether the bounds of this node are disjoint from the
hyperrectangle described by the given bounds.
- isDisjointFrom(int[], int[]) - Method in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
Test whether the bounds of this node are disjoint from the
hyperrectangle described by the given bounds.
- isDisjointFrom(long[], long[]) - Method in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
Test whether the bounds of this node are disjoint from the
hyperrectangle described by the given bounds.
- isDisjointFrom(short[], short[]) - Method in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
Test whether the bounds of this node are disjoint from the
hyperrectangle described by the given bounds.
- isDistance() - Method in enum org.openimaj.feature.ByteFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.DoubleFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.FloatFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.IntFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.LongFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.ShortFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.SparseByteFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.SparseDoubleFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.SparseFloatFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.SparseIntFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.SparseLongFVComparison
-
- isDistance() - Method in enum org.openimaj.feature.SparseShortFVComparison
-
- isDistance() - Method in class org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator
-
- isDistance() - Method in class org.openimaj.image.processing.face.feature.comparison.FaceFVComparator
-
- isDistance() - Method in class org.openimaj.image.processing.face.feature.comparison.LtpDtFeatureComparator
-
- isDistance() - Method in class org.openimaj.image.processing.face.feature.comparison.ReversedLtpDtFeatureComparator
-
- isDistance() - Method in class org.openimaj.math.statistics.distribution.metrics.GaussianKLDivergence
-
- isDistance() - Method in class org.openimaj.math.statistics.distribution.metrics.SampledMultivariateDistanceComparator
-
- isDistance() - Method in interface org.openimaj.util.comparator.DistanceComparator
-
- isDoubleInitialImage() - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Should the starting image of the pyramid be stretched to twice its size?
- isDoubleSizePyramid() - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale
-
Whether the initial image in the pyramid is being double sized.
- isDrawCurrentPositionLine() - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Returns whether the current position line is being drawn
- isDrawFreqBands() - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Returns whether the frequency bands are being drawn.
- isDrawMajorGrid() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- isDrawMajorTickLabels() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- isDrawMajorTicks() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- isDrawMinorGrid() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- isDrawMinorTickLabels() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- isDrawMinorTicks() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- isEmpty() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- isEmpty() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Return whether this polygon has no vertices or not.
- isEmpty() - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- isEmpty() - Method in class org.openimaj.util.set.DisjointSetForest
-
- isEnableLights() - Method in class org.openimaj.vis.Visualisation3D
-
- isFavorited() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- isFinished() - Method in class org.openimaj.hadoop.sequencefile.ExtractionState
-
- isFinished() - Static method in class org.openimaj.picslurper.LocalTweetSpout
-
- isFixAxis() - Method in class org.openimaj.vis.general.BarVisualisation
-
Returns whether the axis is fixed or not.
- isFixAxis() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Returns whether the axis is fixed or not.
- isForce() - Method in class org.openimaj.tools.InOutToolOptions
-
- isFound() - Method in class org.openimaj.image.camera.calibration.ChessboardCornerFinder
-
- isFull() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
- isFullscreen() - Method in class org.openimaj.content.slideshow.Slideshow
-
- isFullscreen() - Method in class org.openimaj.content.slideshow.SlideshowApplet
-
- isFullscreen() - Method in class org.openimaj.content.slideshow.SlideshowApplication
-
- isFullscreen() - Method in class org.openimaj.vis.general.JOGLWindow
-
- isHole() - Method in class org.openimaj.image.contour.Contour
-
- isHole() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Returns whether this polygon is representing a hole in another polygon.
- isHtml() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isIgnoreToken(String) - Method in class org.openimaj.text.nlp.namedentity.IgnoreTokenStripper
-
Checks if given token is an ignore word
- isImage(String, boolean) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
-
Obtains a files MIME type and returns true if it is of type image
- isImageReady() - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
- isImages() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isImproveEstimate() - Method in class org.openimaj.math.model.fit.RANSAC
-
- isInCorrectCategory - Variable in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Response
-
Whether the image is in the correct category
- isInfoMode() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- isInLine(Point2d, float) - Method in class org.openimaj.math.geometry.line.Line2d
-
Tests whether the given point lies on this line.
- isInside(int, Shape[][], Point2d) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- isInside(Point2d) - Method in class org.openimaj.math.geometry.shape.Circle
-
- isInside(Point2d) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- isInside(Point2d) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Test whether the point p is inside the polygon using the winding rule
algorithm.
- isInside(Point2d) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- isInside(Rectangle) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
Test if the given rectangle is inside this one.
- isInside(Point2d) - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- isInside(Point2d) - Method in interface org.openimaj.math.geometry.shape.Shape
-
Test whether the point p is inside the shape.
- isInside(Point2d) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- isInsideContent() - Method in class org.openimaj.web.layout.ElementInfo
-
- isInsideOnLine(Point2d) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- isInvalid() - Method in class org.openimaj.twitter.USMFStatus
-
- isItalic() - Method in class org.openimaj.image.typography.FontStyle
-
- isJar() - Method in class org.openimaj.tools.ReferencesToolOpts
-
- isJarResource(URL) - Static method in class org.openimaj.io.FileUtils
-
Returns whether the given resource is a jar resource.
- isJarResource(String) - Static method in class org.openimaj.io.FileUtils
-
Returns whether the given resource is a jar resource.
- isKeepOctaves() - Method in class org.openimaj.image.analysis.pyramid.PyramidOptions
-
Determine whether the Pyramid should retain its octaves.
- isLeaf() - Method in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
Test to see if this node is a leaf node (i.e.
- isLeaf() - Method in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
Test to see if this node is a leaf node (i.e.
- isLeaf() - Method in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
Test to see if this node is a leaf node (i.e.
- isLeaf() - Method in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
Test to see if this node is a leaf node (i.e.
- isLeaf() - Method in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
Test to see if this node is a leaf node (i.e.
- isLeaf() - Method in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
Test to see if this node is a leaf node (i.e.
- isLeaf() - Method in interface org.openimaj.util.tree.TreeNode
-
Does this tree node contain no children
- isLeaf() - Method in class org.openimaj.util.tree.TreeNodeImpl
-
- isLeft(Pixel, Pixel, Pixel) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
- isLightingInsensitive() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- isLinks() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isLoaded() - Static method in class org.openimaj.citation.CitationAgent
-
Is the agent loaded?
- isLoaded() - Static method in class org.openimaj.experiment.agent.ExperimentAgent
-
Is the agent loaded?
- isLocalExtremum(float, FImage, int, int) - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
Test to see if a point is a local extremum by searching the +/- 1 pixel
neighbourhood in x and y.
- isMatrixLoss() - Method in class org.openimaj.ml.linear.learner.loss.LossFunction
-
- isMatrixLoss() - Method in class org.openimaj.ml.linear.learner.loss.MatLossFunction
-
- isMatrixLoss() - Method in class org.openimaj.ml.linear.learner.loss.MatSquareLossFunction
-
- isMatrixLoss() - Method in class org.openimaj.ml.linear.learner.loss.SquareLossFunction
-
- isMatrixLoss() - Method in class org.openimaj.ml.linear.learner.loss.SquareMissingLossFunction
-
- isMatrixLoss() - Method in class org.openimaj.ml.linear.learner.matlib.loss.LossFunction
-
- isMatrixLoss() - Method in class org.openimaj.ml.linear.learner.matlib.loss.MatLossFunction
-
- isMatrixLoss() - Method in class org.openimaj.ml.linear.learner.matlib.loss.MatSquareLossFunction
-
- isMaxima - Variable in class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint
-
Was the keypoint detected at a maxima?
- isMaxima - Variable in class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint.MinMaxKeypointLocation
-
Was the keypoint detected at a maxima?
- isMouseConfined() - Method in class org.openimaj.vis.general.JOGLWindow
-
- isMouseVisible() - Method in class org.openimaj.vis.general.JOGLWindow
-
- isMSER - Variable in class org.openimaj.image.analysis.watershed.Component
-
Whether this component represents an MSER
- isMultiDocument() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isMultiMode() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isMultiValued() - Method in class org.kohsuke.args4j.spi.AbstractGetter
-
- isMultiValued() - Method in interface org.kohsuke.args4j.spi.Getter
-
- isMultiValued() - Method in class org.kohsuke.args4j.spi.MapGetter
-
- isMultiValued() - Method in class org.kohsuke.args4j.spi.MultiValueFieldGetter
-
- isNewPage - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
Was a new page created?
- isNorm() - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
- isNotEdge(FImage, int, int) - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
Test if the pixel at x,y in the image is NOT on an edge.
- isNoteOn() - Method in class org.openimaj.audio.generation.Synthesizer
-
Returns whether the synth is playing a note or not.
- isNull() - Method in class org.openimaj.video.tracking.klt.PyramidSet
-
- isOnLine(Point2d, float) - Method in class org.openimaj.math.geometry.line.Line2d
-
Tests whether the given point lies on this line.
- isOriginal() - Method in class org.openimaj.web.flickr.FlickrImage
-
- isOutline() - Method in class org.openimaj.image.typography.general.GeneralFontStyle
-
Returns whether this font is to be drawn in outline or not
- isOutlineText() - Method in class org.openimaj.vis.general.BarVisualisation
-
- isOutlineText() - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- isOverlapping() - Method in class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Returns whether the windows are overlapping or not.
- isOverlapping(Rectangle) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
Test if rectangles overlap.
- isPadToNextPowerOf2() - Method in class org.openimaj.audio.analysis.FourierTransform
-
Returns whether the input will be padded to be the length
of the next higher power of 2.
- isPatternUniform(int, int) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern
-
Check whether the given nbits pattern is uniform.
- isPaused() - Method in class org.openimaj.video.VideoDisplay
-
Is the video paused?
- isPossiblySensitive() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- isPowerOf2(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Checks if x is a power-of-two number.
- isQuantMode() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
- isReader - Variable in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- isRedirected(HttpRequest, HttpResponse, HttpContext) - Method in class org.openimaj.io.HttpUtils.MetaRefreshRedirectStrategy
-
- isRedirected(HttpRequest, HttpResponse, HttpContext) - Method in class org.openimaj.picslurper.StatusConsumer.StatusConsumerRedirectStrategy
-
- isRenderAxesLast() - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
- isRenderAxis() - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
Returns whether an axis should be rendered
- IsReplyFilter - Class in org.openimaj.tools.twitter.modes.filter
-
- IsReplyFilter() - Constructor for class org.openimaj.tools.twitter.modes.filter.IsReplyFilter
-
- isRetweet() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- isRetweetedByMe() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- isRobot - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
Was it a robot that made the change?
- isSamplesFileMode() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- isSet(Item._Fields) - Method in class net.lag.kestrel.thrift.Item
-
Returns true if field corresponding to fieldID is set (has been assigned
a value) and false otherwise
- isSet(Kestrel.abort_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.abort_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.confirm_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.confirm_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.delete_queue_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.delete_queue_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.flush_all_queues_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.flush_all_queues_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.flush_queue_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.flush_queue_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.get_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.get_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.get_version_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.get_version_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.peek_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.peek_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.put_args._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(Kestrel.put_result._Fields) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
Returns true if field corresponding to fieldID is set (has been
assigned a value) and false otherwise
- isSet(QueueInfo._Fields) - Method in class net.lag.kestrel.thrift.QueueInfo
-
Returns true if field corresponding to fieldID is set (has been assigned
a value) and false otherwise
- isSigned() - Method in class org.openimaj.audio.AudioFormat
-
Returns whether the data is signed or unsigned.
- isSingle - Variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- isSquare() - Method in class ch.akuhn.matrix.Matrix
-
- isStdin(InOutToolOptions) - Static method in class org.openimaj.tools.FileToolsUtil
-
Test whether the input is the stdin
- isStdout(InOutToolOptions) - Static method in class org.openimaj.tools.FileToolsUtil
-
Test whether the requested output is stdout.
- isStopped() - Method in class org.openimaj.audio.AudioGrabber
-
Whether the stream is stopped or not.
- isStopped() - Method in class org.openimaj.audio.JavaSoundAudioGrabber
-
Whether the stream is stopped or not.
- isStopped() - Method in class org.openimaj.video.VideoDisplay
-
Returns whether the video is stopped or not.
- isSubhead() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isText() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isTextMode() - Method in class org.openimaj.image.typography.mathml.MathMLFontStyle
-
- isTitle() - Method in class org.openimaj.tools.web.ReaderOptions
-
- isTruncated() - Method in class org.openimaj.picslurper.DatabaseStatusFeeder.DatabaseFeederStatus
-
- isTypeJitter() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Get whether the font type is being randomised.
- isUndecorated() - Method in class org.openimaj.vis.general.JOGLWindow
-
- isUniform(boolean[]) - Static method in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern
-
- isUnpatrolled - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
Is the edit unpatrolled?
- isUsed(int) - Method in class ch.akuhn.matrix.SparseVector
-
Test if an index has a set value
- isUsed(int) - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseByteArray
-
Check whether the given index is used (i.e.
- isUsed(int) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Check whether the given index is used (i.e.
- isUsed(int) - Method in class org.openimaj.util.array.SparseFloatArray
-
Check whether the given index is used (i.e.
- isUsed(int) - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- isUsed(int) - Method in class org.openimaj.util.array.SparseIntArray
-
Check whether the given index is used (i.e.
- isUsed(int) - Method in class org.openimaj.util.array.SparseLongArray
-
Check whether the given index is used (i.e.
- isUsed(int) - Method in class org.openimaj.util.array.SparseShortArray
-
Check whether the given index is used (i.e.
- isUseFixedBarWidth() - Method in class org.openimaj.vis.general.BarVisualisation
-
- isValid(Locale) - Static method in class org.openimaj.text.nlp.EntityTweetTokeniser
-
Check whether this locale is supported by this tokeniser.
- isValid(String) - Static method in class org.openimaj.text.nlp.EntityTweetTokeniser
-
Check whether this locale (specified by the two letter country code,
Locale
) is
supported by this tokeniser.
- isValid(Locale) - Static method in class org.openimaj.text.nlp.TweetTokeniser
-
Check whether this locale is supported by this tokeniser.
- isValid(String) - Static method in class org.openimaj.text.nlp.TweetTokeniser
-
Check whether this locale (specified by the two letter country code,
Locale
) is supported by this tokeniser.
- isValidDirectory(String) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
-
Checks whether a given directory contains valid images for classification
- isWriteFormatSupported(String) - Static method in class org.openimaj.image.ImageUtilities
-
Test if a given image output format name is supported
- isWriteFormatSupported(File) - Static method in class org.openimaj.image.ImageUtilities
-
Test if the image output format suggested by the extension of the given
filename is supported
- it - Variable in class org.openimaj.tools.localfeature.options.LocalFeatureMode.LocalFeatureModeOp
-
- ITALIC - Static variable in class org.openimaj.image.typography.FontStyle
-
Attribute for italic text.
- italic - Variable in class org.openimaj.image.typography.FontStyle
-
should the associated text be rendered in italic?
- ITALIC_SLANT - Static variable in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
Attribute for the amount of slant for italic text.
- Item - Class in net.lag.kestrel.thrift
-
- Item() - Constructor for class net.lag.kestrel.thrift.Item
-
- Item(ByteBuffer, long) - Constructor for class net.lag.kestrel.thrift.Item
-
- Item(Item) - Constructor for class net.lag.kestrel.thrift.Item
-
Performs a deep copy on other.
- Item - Interface in orgrdfs.sioc.ns
-
An Item is something which can be in a Container.
- Item._Fields - Enum in net.lag.kestrel.thrift
-
The set of fields this struct contains, along with convenience methods
for finding and manipulating them.
- ItemImpl - Class in orgrdfs.sioc.ns
-
An Item is something which can be in a Container.
- ItemImpl() - Constructor for class orgrdfs.sioc.ns.ItemImpl
-
- ItemPlotter<O,Q,I extends Image<Q,I>> - Interface in org.openimaj.vis.general
-
An interface for classes that are able to plot items into a visualisation
using an
AxesRenderer2D
to determine the position.
- ItemPlotter3D<O> - Interface in org.openimaj.vis.general
-
An interface for classes that are able to plot items into a 3D visualisation
using an
AxesRenderer3D
to determine the position.
- iter - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- IterableIterator<T> - Class in org.openimaj.util.iterator
-
Wrapper to allow an
Iterator
as an
Iterable
so it can be used
in an a foreach loop.
- iteration - Variable in class org.openimaj.algorithm.iterative.IterationState
-
The current iteration number
- iteration - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeans.IterationResult
-
The iteration number, starting from 0
- iterationListeners - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
- IterationResult(Matrix, PointList, double, double[]) - Constructor for class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult
-
- IterationResult() - Constructor for class org.openimaj.ml.clustering.kmeans.SphericalKMeans.IterationResult
-
- iterations - Variable in class org.openimaj.ml.clustering.kmeans.ByteKMeans.Result
-
- iterations - Variable in class org.openimaj.ml.clustering.kmeans.DoubleKMeans.Result
-
- iterations - Variable in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans.Result
-
- iterations - Variable in class org.openimaj.ml.clustering.kmeans.FloatKMeans.Result
-
- iterations - Variable in class org.openimaj.ml.clustering.kmeans.IntKMeans.Result
-
- iterations - Variable in class org.openimaj.ml.clustering.kmeans.LongKMeans.Result
-
- iterations - Variable in class org.openimaj.ml.clustering.kmeans.ShortKMeans.Result
-
- IterationState - Class in org.openimaj.algorithm.iterative
-
The current state of an iterative algorithm.
- IterationState() - Constructor for class org.openimaj.algorithm.iterative.IterationState
-
- iterator() - Method in class org.openimaj.audio.AudioStream
-
- iterator() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
- iterator() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
- iterator() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
- iterator() - Method in class org.openimaj.data.AbstractDataSource
-
- iterator() - Method in class org.openimaj.data.ArrayBackedDataSource
-
- iterator() - Method in class org.openimaj.data.ByteArrayBackedDataSource
-
- iterator() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- iterator() - Method in class org.openimaj.data.dataset.MapBackedDataset
-
- iterator() - Method in class org.openimaj.data.dataset.ReadableGroupDataset
-
- iterator() - Method in class org.openimaj.data.dataset.VFSListDataset
-
- iterator() - Method in class org.openimaj.data.DoubleArrayBackedDataSource
-
- iterator() - Method in class org.openimaj.data.FloatArrayBackedDataSource
-
- iterator() - Method in class org.openimaj.data.IntArrayBackedDataSource
-
- iterator() - Method in class org.openimaj.data.LongArrayBackedDataSource
-
- iterator() - Method in class org.openimaj.data.ShortArrayBackedDataSource
-
- iterator() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- iterator() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_depth_format
-
- iterator() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_device_flags
-
- iterator() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_led_options
-
- iterator() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_loglevel
-
- iterator() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_resolution
-
- iterator() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_tilt_status_code
-
- iterator() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_video_format
-
- iterator() - Method in class org.openimaj.image.analysis.algorithm.HoughLines
- iterator() - Method in class org.openimaj.image.analysis.pyramid.Octave
-
- iterator() - Method in class org.openimaj.image.analysis.pyramid.Pyramid
-
- iterator() - Method in class org.openimaj.image.analysis.pyramid.SimplePyramid
-
- iterator() - Method in class org.openimaj.image.dataset.FlickrImageDataset
-
- iterator() - Method in class org.openimaj.image.MultiBandImage
- iterator() - Method in class org.openimaj.image.pixel.PixelSet
-
- iterator() - Method in class org.openimaj.image.pixel.sampling.QuadtreeSampler
-
- iterator() - Method in class org.openimaj.image.pixel.sampling.RectangleSampler
-
- iterator() - Method in class org.openimaj.math.geometry.point.PointList
- iterator() - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearLearnerParametersLineSearch
-
- iterator() - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- iterator() - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- iterator() - Method in class org.openimaj.ml.timeseries.series.DoubleSynchronisedTimeSeriesCollection
-
- iterator() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- iterator() - Method in class org.openimaj.picslurper.PicSlurper
-
- iterator() - Method in class org.openimaj.text.nlp.EntityTweetTokeniser
-
- iterator() - Method in class org.openimaj.text.nlp.TweetTokeniser
-
- iterator() - Method in class org.openimaj.tools.clusterquantiser.FeatureFile
-
- iterator() - Method in class org.openimaj.tools.clusterquantiser.MemoryFeatureFile
-
- iterator() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchByteDataSource
-
- iterator() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchIntDataSource
-
- iterator() - Method in class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
- iterator() - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection
-
- iterator() - Method in class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection
-
- iterator() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Returns an iterator over the elements in this queue in proper sequence.
- iterator() - Method in class org.openimaj.util.iterator.ConcatenatedIterable
-
- iterator() - Method in class org.openimaj.util.iterator.IterableIterator
-
- iterator() - Method in class org.openimaj.util.iterator.TextLineIterable
-
- iterator() - Method in class org.openimaj.util.iterator.UniformByteRangeIterable
-
- iterator() - Method in class org.openimaj.util.iterator.UniformDoubleRangeIterable
-
- iterator() - Method in class org.openimaj.util.iterator.UniformFloatRangeIterable
-
- iterator() - Method in class org.openimaj.util.iterator.UniformIntRangeIterable
-
- iterator() - Method in class org.openimaj.util.iterator.UniformLongRangeIterable
-
- iterator() - Method in class org.openimaj.util.iterator.UniformShortRangeIterable
-
- iterator() - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- iterator() - Method in class org.openimaj.util.set.DisjointSetForest
-
- iterator() - Method in class org.openimaj.util.stream.AbstractStream
-
- iterator() - Method in interface org.openimaj.util.tree.TreeNode
-
- iterator() - Method in class org.openimaj.util.tree.TreeNodeImpl
-
- iterator() - Method in class org.openimaj.video.tracking.klt.FeatureList
-
- iterator() - Method in class org.openimaj.video.Video
-
- iterator() - Method in class org.openimaj.workinprogress.featlearn.RandomPatchSampler
-
- iterator() - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- ItNode - Class in org.openimaj.math.geometry.shape.util.polygon
-
Intersection table
- ItNode(EdgeNode, EdgeNode, double, double, ItNode) - Constructor for class org.openimaj.math.geometry.shape.util.polygon.ItNode
-
- itOp - Variable in class org.openimaj.tools.localfeature.options.LocalFeatureMode.LocalFeatureModeOp
-
- ivec - Variable in class org.openimaj.image.feature.local.keypoints.Keypoint
-
keypoint feature descriptor (i.e.
- L - Static variable in class org.openimaj.image.processing.morphology.GolayAlphabet
-
The L elements of the Golay Alphabet
- L1L2Regulariser - Class in org.openimaj.ml.linear.learner.matlib.regul
-
- L1L2Regulariser() - Constructor for class org.openimaj.ml.linear.learner.matlib.regul.L1L2Regulariser
-
- L1L2Regulariser - Class in org.openimaj.ml.linear.learner.regul
-
- L1L2Regulariser() - Constructor for class org.openimaj.ml.linear.learner.regul.L1L2Regulariser
-
- L1Regulariser - Class in org.openimaj.ml.linear.learner.matlib.regul
-
- L1Regulariser() - Constructor for class org.openimaj.ml.linear.learner.matlib.regul.L1Regulariser
-
- L1Regulariser - Class in org.openimaj.ml.linear.learner.regul
-
- L1Regulariser() - Constructor for class org.openimaj.ml.linear.learner.regul.L1Regulariser
-
- L5E5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- L5R5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- L5S5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- label - Variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordDFIDFValue
-
- label - Variable in class org.openimaj.vis.general.LabelledPointVisualisation.LabelledDot
-
The label
- label - Variable in class org.openimaj.vis.timeline.Timeline.TimelineMarker
-
The label of the marker, if it has one
- LABEL_BACKGROUND - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- LABEL_BORDER - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- LABEL_FONT - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- LABEL_PADDING - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- labelAlliasQuery(String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- LabelledDataProvider - Interface in org.openimaj.ml.classification
-
- LabelledDot(String, double) - Constructor for class org.openimaj.vis.general.LabelledPointVisualisation.LabelledDot
-
Create a labelled dot.
- LabelledDot(String, double, Float[]) - Constructor for class org.openimaj.vis.general.LabelledPointVisualisation.LabelledDot
-
Create a labelled dot.
- LabelledPointVisualisation - Class in org.openimaj.vis.general
-
Plots dots with a label.
- LabelledPointVisualisation() - Constructor for class org.openimaj.vis.general.LabelledPointVisualisation
-
Default constructor
- LabelledPointVisualisation(int, int) - Constructor for class org.openimaj.vis.general.LabelledPointVisualisation
-
Constructor that takes the width and height of the visualisation
- LabelledPointVisualisation.LabelledDot - Class in org.openimaj.vis.general
-
- labels() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- LABELS - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- LabelTransformer - Interface in org.openimaj.vis.general
-
- lambda - Variable in class org.openimaj.image.processing.algorithm.AnisotropicDiffusion
-
- lambda - Variable in class org.openimaj.ml.clustering.spectral.MultiviewSpectralClusteringConf
-
regularisation parameter
- LAMBDA - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
The parameter of the regulariser for both W and U
- lambda - Variable in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- LAMBDA_U - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
The parameter of the regulariser for U, defaults to LAMBDA
- lambda_u - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- lambda_u - Variable in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- LAMBDA_W - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
The parameter of the regulariser for W, defaults to LAMBDA
- lambda_w - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- lambda_w - Variable in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- LambdaSearchAustrian - Class in org.openimaj.ml.linear.experiments.sinabill
-
Optimise lambda and eta0 and learning rates with a line search
- LambdaSearchAustrian() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.LambdaSearchAustrian
-
- Lanczos3Filter - Class in org.openimaj.image.processing.resize.filters
-
A Lanczos3 filter for the resample function.
- Lanczos3Filter() - Constructor for class org.openimaj.image.processing.resize.filters.Lanczos3Filter
-
- LandmarkModel<I extends Image<?,I>> - Interface in org.openimaj.image.model.landmark
-
A
LandmarkModel
models local image content and provides functionality
to move a point in an image to a nearby point with a lower cost than at the
initial point.
- LandmarkModelFactory<I extends Image<?,I>> - Interface in org.openimaj.image.model.landmark
-
- lang_true - Variable in class org.openimaj.twitter.experiments.langid.TrueLanguageTwitterStatus
-
the true languge of this tweet
- language - Variable in class org.openimaj.text.nlp.language.LanguageDetector.WeightedLocale
-
Estimated language
- language - Variable in class org.openimaj.twitter.USMFStatus.User
-
Spoken language of user
- LANGUAGE_MODEL_BINARY - Static variable in class org.openimaj.text.nlp.language.LanguageDetector
-
default location of the compressed binary version of the language model
- LANGUAGE_MODEL_JSON - Static variable in class org.openimaj.text.nlp.language.LanguageDetector
-
default location of the compressed json version language model
- LanguageDetectionMode - Class in org.openimaj.tools.twitter.modes.preprocessing
-
A gateway class which loads and uses the #LanguageDetector
- LanguageDetectionMode() - Constructor for class org.openimaj.tools.twitter.modes.preprocessing.LanguageDetectionMode
-
Loads the language detector
- LanguageDetector - Class in org.openimaj.text.nlp.language
-
Short text language detection ported from langid:
https://github.com/saffsd/langid.py
- LanguageDetector() - Constructor for class org.openimaj.text.nlp.language.LanguageDetector
-
- LanguageDetector(LanguageModel) - Constructor for class org.openimaj.text.nlp.language.LanguageDetector
-
Create a language detector with a provided language model
- LanguageDetector.WeightedLocale - Class in org.openimaj.text.nlp.language
-
A langauge with an associated confidence
- LanguageFilter - Class in org.openimaj.tools.twitter.modes.filter
-
- LanguageFilter(String...) - Constructor for class org.openimaj.tools.twitter.modes.filter.LanguageFilter
-
- LanguageModel - Class in org.openimaj.text.nlp.language
-
- LanguageModel() - Constructor for class org.openimaj.text.nlp.language.LanguageModel
-
do nothing
- LanguageModel(Map<String, Object>) - Constructor for class org.openimaj.text.nlp.language.LanguageModel
-
- LaplaceIPD - Class in org.openimaj.image.feature.local.interest
-
- LaplaceIPD(float, float) - Constructor for class org.openimaj.image.feature.local.interest.LaplaceIPD
-
- laplacian(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- laplacian(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.GraphLaplacian
-
- laplacian(SparseMatrix, DiagonalMatrix) - Method in class org.openimaj.ml.clustering.spectral.GraphLaplacian
-
- laplacian(SparseMatrix, DiagonalMatrix) - Method in class org.openimaj.ml.clustering.spectral.GraphLaplacian.Normalised
-
- laplacian(SparseMatrix, DiagonalMatrix) - Method in class org.openimaj.ml.clustering.spectral.GraphLaplacian.Unnormalised
-
- laplacian(SparseMatrix, DiagonalMatrix) - Method in class org.openimaj.ml.clustering.spectral.GraphLaplacian.Warped
-
- laplacian - Variable in class org.openimaj.ml.clustering.spectral.SpectralClusteringConf
-
The graph laplacian creator
- Laplacian3x3 - Class in org.openimaj.image.processing.convolution
-
A convolution operator with a 3x3 kernel approximating the Laplacian.
- Laplacian3x3() - Constructor for class org.openimaj.image.processing.convolution.Laplacian3x3
-
Construct the 3x3 Laplacian operator
- laplacianEigenVectors(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- LaplacianOfGaussian2D - Class in org.openimaj.image.processing.convolution
-
2D Laplacian of Gaussian filter
- LaplacianOfGaussian2D(int, int, float) - Constructor for class org.openimaj.image.processing.convolution.LaplacianOfGaussian2D
-
Construct with given kernel size and variance.
- LaplacianOfGaussian2D(int, float) - Constructor for class org.openimaj.image.processing.convolution.LaplacianOfGaussian2D
-
Construct with given kernel size and variance.
- LargeMarginDimensionalityReduction - Class in org.openimaj.ml.linear.projection
-
- LargeMarginDimensionalityReduction(int) - Constructor for class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Construct with the given target dimensionality and default values for the
other parameters (learning rate of 1.0 for W; learning rate of 0 for
bias).
- LargeMarginDimensionalityReduction(int, double, double) - Constructor for class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Construct with the given target dimensionality learning rates.
- largest(int) - Method in class ch.akuhn.matrix.eigenvalues.Eigenvalues
-
Configure to compute the largest nev
values/vectors.
- largest(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues
-
Compute the largest algebraic eigenvalues.
- last_item_date - Variable in class orgrdfs.sioc.ns.ContainerImpl
-
The date and time of the last Post (or Item) in a Forum (or a
Container), in ISO 8601 format.
- last_name - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
Last (real) name of this user.
- lastFrameWasBoundary - Variable in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Whether the last processed frame was a boundary
- lastIndexOf(Object) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- lastIndexOf(Object) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- lastMatchBounds - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
The last matched bounds: _rect
- latest_version - Variable in class orgrdfs.sioc.ns.ItemImpl
-
Links to the latest revision of this Item or Post.
- LawsTexture - Class in org.openimaj.image.processing.convolution.filterbank
-
- LawsTexture() - Constructor for class org.openimaj.image.processing.convolution.filterbank.LawsTexture
-
Construct using 15*15 macro windows for the energy computation
- LawsTexture(int) - Constructor for class org.openimaj.image.processing.convolution.filterbank.LawsTexture
-
Construct using the given sized macro windows for the energy computation
- LawsTexture(int, int) - Constructor for class org.openimaj.image.processing.convolution.filterbank.LawsTexture
-
Construct using the given sized macro windows for the energy computation
- LawsTextureBase - Class in org.openimaj.image.processing.convolution.filterbank
-
Base
FilterBank
that provides the 16 raw kernels used in Laws texture
classification approach.
- LawsTextureBase() - Constructor for class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
Default constructor
- LayoutExtractor - Class in org.openimaj.web.layout
-
Class for extracting information on the layout of DOM elements in
a web page.
- LayoutExtractor() - Constructor for class org.openimaj.web.layout.LayoutExtractor
-
Default constructor
- LayoutExtractor(long) - Constructor for class org.openimaj.web.layout.LayoutExtractor
-
Default constructor
- LayoutExtractorTool - Class in org.openimaj.tools.web
-
Tool for extracting information from rendered webpages.
- LayoutExtractorTool() - Constructor for class org.openimaj.tools.web.LayoutExtractorTool
-
- LDABetaInitStrategy - Interface in org.openimaj.pgm.vb.lda.mle
-
Initialisation strategies for the beta matrix in the maximum liklihood LDA.
- LDABetaInitStrategy.RandomBetaInit - Class in org.openimaj.pgm.vb.lda.mle
-
initialises beta randomly s.t.
- LDALearner - Class in org.openimaj.pgm.vb.lda.mle
-
An implementation of variational inference LDA which can be saved and loaded
- LDALearner(int) - Constructor for class org.openimaj.pgm.vb.lda.mle.LDALearner
-
- LDAModel - Class in org.openimaj.pgm.vb.lda.mle
-
Holds the sufficient statistics for a maximum liklihood LDA
as well as a single value for alpha (the parameter of the topic
dirichlet prior)
- LDAModel(int) - Constructor for class org.openimaj.pgm.vb.lda.mle.LDAModel
-
- LDAVariationlState - Class in org.openimaj.pgm.vb.lda.mle
-
The state of the E step of the MLE LDA
- LDAVariationlState(LDAModel) - Constructor for class org.openimaj.pgm.vb.lda.mle.LDAVariationlState
-
The variational state holds phi and gamma states as well as
information for convergence of the E step.
- leafIndices() - Method in class org.openimaj.util.tree.ByteKDTree
-
Find all the indices seperated by leaves
- leafIndices() - Method in class org.openimaj.util.tree.DoubleKDTree
-
Find all the indices seperated by leaves
- leafIndices() - Method in class org.openimaj.util.tree.FloatKDTree
-
Find all the indices seperated by leaves
- leafIndices() - Method in class org.openimaj.util.tree.IntKDTree
-
Find all the indices seperated by leaves
- leafIndices() - Method in class org.openimaj.util.tree.LongKDTree
-
Find all the indices seperated by leaves
- leafIndices() - Method in class org.openimaj.util.tree.ShortKDTree
-
Find all the indices seperated by leaves
- learn(LabelledDataProvider, int) - Method in class org.openimaj.ml.classification.boosting.AdaBoost
-
- learn(LabelledDataProvider, float[]) - Method in class org.openimaj.ml.classification.StumpClassifier.WeightedLearner
-
- learnBasis(Map<?, double[][]>) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Learn the LDA basis.
- learnBasis(List<double[][]>) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Learn the LDA basis.
- learnBasis(List<double[]>) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Learn the principal components of the given data list.
- learnBasis(double[][]) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Learn the principal components of the given data array.
- learnBasis(Matrix) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Learn the principal components of the given data matrix.
- learnBasis(FeatureVector[]) - Method in class org.openimaj.ml.pca.FeatureVectorPCA
-
Learn the PCA basis of the given feature vectors.
- learnBasis(Collection<? extends FeatureVector>) - Method in class org.openimaj.ml.pca.FeatureVectorPCA
-
Learn the PCA basis of the given feature vectors.
- learnBasis(double[][]) - Method in class org.openimaj.ml.pca.FeatureVectorPCA
-
- learnBasisIP(List<? extends IndependentPair<?, double[]>>) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Learn the LDA basis.
- learnBasisLL(List<List<double[]>>) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Learn the LDA basis.
- learnBasisML(Map<?, List<double[]>>) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Learn the LDA basis.
- learnBasisNorm(Matrix) - Method in class org.openimaj.math.matrix.algorithm.pca.CovarPrincipalComponentAnalysis
-
- learnBasisNorm(Matrix) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Learn the PCA basis from the centered data provided.
- learnBasisNorm(Matrix) - Method in class org.openimaj.math.matrix.algorithm.pca.SvdPrincipalComponentAnalysis
-
- learnBasisNorm(Matrix) - Method in class org.openimaj.math.matrix.algorithm.pca.ThinSvdPrincipalComponentAnalysis
-
- learnBasisNorm(Matrix) - Method in class org.openimaj.ml.pca.FeatureVectorPCA
-
- learner - Variable in class org.openimaj.ml.linear.evaluation.BilinearEvaluator
-
- learner - Variable in class org.openimaj.ml.linear.learner.init.AbstractContextAwareInitStrategy
-
- learnFeatures(double[][]) - Method in class org.openimaj.workinprogress.featlearn.cifarexps.CIFARExperimentFramework
-
- learnFeatures(double[][]) - Method in class org.openimaj.workinprogress.featlearn.cifarexps.KMeansExp1
-
- LearningParameters - Class in org.openimaj.ml.linear.learner
-
- LearningParameters() - Constructor for class org.openimaj.ml.linear.learner.LearningParameters
-
- LearningParameters(Map<String, Object>) - Constructor for class org.openimaj.ml.linear.learner.LearningParameters
-
- LearningParameters.Placeholder - Class in org.openimaj.ml.linear.learner
-
- LearningRate<PTYPE extends Parameters<PTYPE>> - Class in org.openimaj.workinprogress.optimisation
-
- LearningRate() - Constructor for class org.openimaj.workinprogress.optimisation.LearningRate
-
- learningRate - Variable in class org.openimaj.workinprogress.optimisation.SGD
-
- learnModel(T...) - Method in interface org.openimaj.image.model.ImageClassificationModel
-
Learn the model from the given
MBFImage
s.
- learnModel(MBFImage...) - Method in class org.openimaj.image.model.patch.HistogramPatchModel
-
- learnModel(MBFImage...) - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
-
- learnModel(MBFImage...) - Method in class org.openimaj.image.model.pixel.OrthotopePixelModel
-
- learnModel(MBFImage...) - Method in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
-
- LeastSquaresLinearModel - Class in org.openimaj.math.model
-
Model of mapping between pairs of integers learned from a least-squares
regression.
- LeastSquaresLinearModel() - Constructor for class org.openimaj.math.model.LeastSquaresLinearModel
-
Construct model
- LeastSquaresLinearModel(int) - Constructor for class org.openimaj.math.model.LeastSquaresLinearModel
-
Construct model
- LeaveOneOut<INSTANCE> - Class in org.openimaj.experiment.validation.cross
-
Leave-One-Out Cross Validation (LOOCV) with a
ListDataset
.
- LeaveOneOut() - Constructor for class org.openimaj.experiment.validation.cross.LeaveOneOut
-
- LED - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Left edge
- LEFT - Static variable in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
LEFT
- Left(PunctuationPatternProvider) - Constructor for class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider.Left
-
- left - Variable in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
Node to the left
- left - Variable in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
Node to the left
- left - Variable in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
Node to the left
- left - Variable in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
Node to the left
- left - Variable in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
Node to the left
- left - Variable in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
Node to the left
- LEFT - Static variable in class org.openimaj.workinprogress.SignProgrammer
-
- length() - Method in class org.openimaj.feature.ByteFV
-
- length() - Method in class org.openimaj.feature.DoubleFV
-
- length() - Method in class org.openimaj.feature.EnumFV
-
- length() - Method in interface org.openimaj.feature.FeatureVector
-
Get the length of this vector
- length() - Method in class org.openimaj.feature.FloatFV
-
- length() - Method in class org.openimaj.feature.IntFV
-
- length() - Method in class org.openimaj.feature.LongFV
-
- length() - Method in class org.openimaj.feature.ShortFV
-
- length() - Method in class org.openimaj.feature.SparseByteFV
-
- length() - Method in class org.openimaj.feature.SparseDoubleFV
-
- length() - Method in class org.openimaj.feature.SparseFloatFV
-
- length() - Method in class org.openimaj.feature.SparseIntFV
-
- length() - Method in class org.openimaj.feature.SparseLongFV
-
- length() - Method in class org.openimaj.feature.SparseShortFV
-
- length() - Method in class org.openimaj.pgm.util.Document
-
- length - Variable in class org.openimaj.util.array.SparseByteArray
-
The length of the array
- length() - Method in class org.openimaj.util.array.SparseByteArray
-
- length - Variable in class org.openimaj.util.array.SparseDoubleArray
-
The length of the array
- length() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- length - Variable in class org.openimaj.util.array.SparseFloatArray
-
The length of the array
- length() - Method in class org.openimaj.util.array.SparseFloatArray
-
- length - Variable in class org.openimaj.util.array.SparseIntArray
-
The length of the array
- length() - Method in class org.openimaj.util.array.SparseIntArray
-
- length - Variable in class org.openimaj.util.array.SparseLongArray
-
The length of the array
- length() - Method in class org.openimaj.util.array.SparseLongArray
-
- length - Variable in class org.openimaj.util.array.SparseShortArray
-
The length of the array
- length() - Method in class org.openimaj.util.array.SparseShortArray
-
- length() - Method in class org.openimaj.utils.threads.InterruptibleCharSequence
-
- lerp(float, float, float, float, float) - Static method in class org.openimaj.math.util.Interpolation
-
Linear interpolation of y at x given x0,y0 and x1,y1.
- lerp(double, double, double, double, double) - Static method in class org.openimaj.math.util.Interpolation
-
Linear interpolation of y at x given x0,y0 and x1,y1.
- less - Variable in class org.openimaj.math.geometry.shape.util.polygon.ScanBeamTree
-
- lessThan(Object, Object) - Method in class org.openimaj.hadoop.tools.fastkmeans.IndexedByteArrayPriorityQueue
-
- lessThan(Vector, double) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- lessThan(Matrix, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
- lessThanSet(Matrix, int, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
for every value in x less than val set toset
- LetterCandidate - Class in org.openimaj.image.text.extraction.swt
-
This class models a candidate textual letter/character from the
SWTTextDetector
.
- LetterCandidate(PixelSet, float, FImage) - Constructor for class org.openimaj.image.text.extraction.swt.LetterCandidate
-
- letterHeightRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum ratio of height for two letters to be considered to be
related
- letters - Variable in class org.openimaj.image.text.extraction.swt.LineCandidate
-
- letters - Variable in class org.openimaj.image.text.extraction.swt.WordCandidate
-
The letters in this word
- letterVarianceMean - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum allowed variance of stroke width in a single character as a
percentage of the mean.
- LeungMalikFilterBank - Class in org.openimaj.image.processing.convolution.filterbank
-
Implementation of a the filter bank described in: T.
- LeungMalikFilterBank() - Constructor for class org.openimaj.image.processing.convolution.filterbank.LeungMalikFilterBank
-
Default constructor with a filter support of 49 pixels
- LeungMalikFilterBank(int) - Constructor for class org.openimaj.image.processing.convolution.filterbank.LeungMalikFilterBank
-
Construct with given support (filter size).
- levelIterator() - Method in class org.openimaj.image.pixel.sampling.QuadtreeSampler
-
Create an iterator over each of the levels in the pyramid.
- levelRectangles() - Method in class org.openimaj.image.pixel.sampling.QuadtreeSampler
-
Get all the sampling regions grouped by level
- levelsToString(boolean[][][]) - Static method in class org.openimaj.image.feature.local.aggregate.PyramidSpatialAggregator
-
- libfreenectLibrary - Class in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary() - Constructor for class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- libfreenectLibrary.freenect_context - Interface in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.freenect_depth_cb - Class in org.openimaj.hardware.kinect.freenect
-
Typedef for depth image received event callbacks
native declaration : /usr/include/stdint.h
- libfreenectLibrary.freenect_depth_format - Enum in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.freenect_device - Interface in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.freenect_device_flags - Enum in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.freenect_led_options - Enum in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.freenect_log_cb - Class in org.openimaj.hardware.kinect.freenect
-
Typedef for logging callback functions
native declaration : /usr/include/stdint.h
- libfreenectLibrary.freenect_loglevel - Enum in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.freenect_resolution - Enum in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.freenect_tilt_status_code - Enum in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.freenect_video_cb - Class in org.openimaj.hardware.kinect.freenect
-
Typedef for video image received event callbacks
native declaration : /usr/include/stdint.h
- libfreenectLibrary.freenect_video_format - Enum in org.openimaj.hardware.kinect.freenect
-
- libfreenectLibrary.timeval - Interface in org.openimaj.hardware.kinect.freenect
-
- LiblinearAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation.linear
-
Annotator based on linear classifiers learned using Liblinear (see
Linear
) or DenseLinear
depending on the density of the
features.
- LiblinearAnnotator(FeatureExtractor<? extends FeatureVector, OBJECT>, LiblinearAnnotator.Mode, SolverType, double, double) - Constructor for class org.openimaj.ml.annotation.linear.LiblinearAnnotator
-
Default constructor.
- LiblinearAnnotator(FeatureExtractor<? extends FeatureVector, OBJECT>, LiblinearAnnotator.Mode, SolverType, double, double, double, boolean) - Constructor for class org.openimaj.ml.annotation.linear.LiblinearAnnotator
-
Default constructor.
- LiblinearAnnotator.Mode - Enum in org.openimaj.ml.annotation.linear
-
The classifier mode; either multiclass or multilabel.
- LiblinearHelper - Class in org.openimaj.ml.annotation.utils
-
Helper methods for interoperability of OpenIMAJ types with Liblinear.
- LiblinearHelper() - Constructor for class org.openimaj.ml.annotation.utils.LiblinearHelper
-
- LIGHT_GRAY - Static variable in class org.openimaj.image.colour.RGBColour
-
Light gray colour as RGB
- likelihood - Variable in class org.openimaj.pgm.vb.lda.mle.LDAVariationlState
-
The liklihood of the current topic sufficient statistics and variational parameters
- likelySubheadCandidateRe - Static variable in class org.openimaj.web.readability.Readability.Regexps
-
- likes - Variable in class org.openimaj.twitter.USMFStatus
-
Number of users who "liked" this
- line - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
-
- line - Variable in class org.openimaj.image.text.extraction.swt.WordCandidate
-
The line to which this word belongs
- Line2d - Class in org.openimaj.math.geometry.line
-
A line in two-dimensional space.
- Line2d() - Constructor for class org.openimaj.math.geometry.line.Line2d
-
Construct a line
- Line2d(Point2d, Point2d) - Constructor for class org.openimaj.math.geometry.line.Line2d
-
Construct a line
- Line2d(float, float, float, float) - Constructor for class org.openimaj.math.geometry.line.Line2d
-
Construct a line
- Line2d.IntersectionResult - Class in org.openimaj.math.geometry.line
-
The result of a line intersection.
- Line2d.IntersectionType - Enum in org.openimaj.math.geometry.line
-
The type of a result of a line intersection
- LinearByteValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that linearly animates a Byte value between two values.
- LinearByteValueAnimator(byte, byte, int) - Constructor for class org.openimaj.content.animation.animator.LinearByteValueAnimator
-
- LinearByteValueAnimator(int, int, byte, byte, int) - Constructor for class org.openimaj.content.animation.animator.LinearByteValueAnimator
-
- LinearDiscriminantAnalysis - Class in org.openimaj.math.matrix.algorithm
-
Implementation of Multiclass Linear Discriminant Analysis.
- LinearDiscriminantAnalysis(int) - Constructor for class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Construct with the given number of components.
- LinearDoubleValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that linearly animates a Double value between two values.
- LinearDoubleValueAnimator(double, double, int) - Constructor for class org.openimaj.content.animation.animator.LinearDoubleValueAnimator
-
- LinearDoubleValueAnimator(int, int, double, double, int) - Constructor for class org.openimaj.content.animation.animator.LinearDoubleValueAnimator
-
- LinearFloatValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that linearly animates a Float value between two values.
- LinearFloatValueAnimator(float, float, int) - Constructor for class org.openimaj.content.animation.animator.LinearFloatValueAnimator
-
- LinearFloatValueAnimator(int, int, float, float, int) - Constructor for class org.openimaj.content.animation.animator.LinearFloatValueAnimator
-
- LinearIntegerValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that linearly animates a Integer value between two values.
- LinearIntegerValueAnimator(int, int, int) - Constructor for class org.openimaj.content.animation.animator.LinearIntegerValueAnimator
-
- LinearIntegerValueAnimator(int, int, int, int, int) - Constructor for class org.openimaj.content.animation.animator.LinearIntegerValueAnimator
-
- LinearInterpolationProcessor - Class in org.openimaj.ml.timeseries.processor.interpolation
-
Perform a linear interpolation such that the value of data at time t1 between t0 and t2 =
data[t1] = data[t0] * (t1 - t0)/(t2-t0) + data[t2] * (t2 - t1)/(t2-t0)
Note that this means if data is known at t1, then t0 = t1 and data[t1] == data[t0]
- LinearInterpolationProcessor(long[]) - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.LinearInterpolationProcessor
-
- LinearInterpolationProcessor() - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.LinearInterpolationProcessor
-
- LinearInterpolationProcessor(long, int, long) - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.LinearInterpolationProcessor
-
- LinearInterpolationProcessor(long, long, int) - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.LinearInterpolationProcessor
-
- LinearInterpolationProcessor(long, long, long) - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.LinearInterpolationProcessor
-
- LinearLongValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that linearly animates a Long value between two values.
- LinearLongValueAnimator(long, long, int) - Constructor for class org.openimaj.content.animation.animator.LinearLongValueAnimator
-
- LinearLongValueAnimator(int, int, long, long, int) - Constructor for class org.openimaj.content.animation.animator.LinearLongValueAnimator
-
- LinearPerceptronDataGenerator - Class in org.openimaj.ml.linear.data
-
- LinearPerceptronDataGenerator(double, int, double) - Constructor for class org.openimaj.ml.linear.data.LinearPerceptronDataGenerator
-
- LinearPerceptronDataGenerator(double, int, double, int) - Constructor for class org.openimaj.ml.linear.data.LinearPerceptronDataGenerator
-
The range for each dimension
- LinearRegression - Class in org.openimaj.ml.regression
-
Given a set of independant variables a linear regressions finds the optimal
vector B such that: (Y - Xb)^2 = 0 (Y - Xb)^{T}(Y-Xb) = 0
calculated by assuming a convex shape of (Y - Xb) with varying values of b
(reasonable as the function is linear) and then calculating the point at
which the first derivative of this function is 0.
- LinearRegression() - Constructor for class org.openimaj.ml.regression.LinearRegression
-
linear regression model
- LinearRegressionProcessor - Class in org.openimaj.ml.timeseries.processor
-
Using a
LinearRegression
model, a time series is used as input to
calculate the coefficients of a linear regression such that value = b * time
+ c
This is the simplest kind of model that can be applied to a time series
- LinearRegressionProcessor() - Constructor for class org.openimaj.ml.timeseries.processor.LinearRegressionProcessor
-
Calculate the regression from the same time series inputed
- LinearRegressionProcessor(LinearRegression) - Constructor for class org.openimaj.ml.timeseries.processor.LinearRegressionProcessor
-
Use reg as the linear regression to predict.
- LinearResampler - Class in org.openimaj.math.geometry.path.resample
-
Simple linear resampling.
- LinearResampler(int) - Constructor for class org.openimaj.math.geometry.path.resample.LinearResampler
-
Construct with the given number of target vertices for lines to have
- LinearShortValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that linearly animates a Short value between two values.
- LinearShortValueAnimator(short, short, int) - Constructor for class org.openimaj.content.animation.animator.LinearShortValueAnimator
-
- LinearShortValueAnimator(int, int, short, short, int) - Constructor for class org.openimaj.content.animation.animator.LinearShortValueAnimator
-
- LinearSVMAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation.linear
-
An
Annotator
based on a set of linear SVMs (one per annotation).
- LinearSVMAnnotator(FeatureExtractor<? extends FeatureVector, OBJECT>, ANNOTATION) - Constructor for class org.openimaj.ml.annotation.linear.LinearSVMAnnotator
-
Construct a new
LinearSVMAnnotator
with the given extractor and
the specified negative class.
- LinearSVMAnnotator(FeatureExtractor<? extends FeatureVector, OBJECT>) - Constructor for class org.openimaj.ml.annotation.linear.LinearSVMAnnotator
-
- LinearTimeBasedByteValueAnimator - Class in org.openimaj.content.animation.animator
-
- LinearTimeBasedByteValueAnimator(byte, byte, long) - Constructor for class org.openimaj.content.animation.animator.LinearTimeBasedByteValueAnimator
-
- LinearTimeBasedDoubleValueAnimator - Class in org.openimaj.content.animation.animator
-
- LinearTimeBasedDoubleValueAnimator(double, double, long) - Constructor for class org.openimaj.content.animation.animator.LinearTimeBasedDoubleValueAnimator
-
- LinearTimeBasedFloatValueAnimator - Class in org.openimaj.content.animation.animator
-
- LinearTimeBasedFloatValueAnimator(float, float, long) - Constructor for class org.openimaj.content.animation.animator.LinearTimeBasedFloatValueAnimator
-
- LinearTimeBasedIntegerValueAnimator - Class in org.openimaj.content.animation.animator
-
- LinearTimeBasedIntegerValueAnimator(int, int, long) - Constructor for class org.openimaj.content.animation.animator.LinearTimeBasedIntegerValueAnimator
-
- LinearTimeBasedLongValueAnimator - Class in org.openimaj.content.animation.animator
-
- LinearTimeBasedLongValueAnimator(long, long, long) - Constructor for class org.openimaj.content.animation.animator.LinearTimeBasedLongValueAnimator
-
- LinearTimeBasedShortValueAnimator - Class in org.openimaj.content.animation.animator
-
- LinearTimeBasedShortValueAnimator(short, short, long) - Constructor for class org.openimaj.content.animation.animator.LinearTimeBasedShortValueAnimator
-
- LinearVectorKernel - Class in org.openimaj.ml.linear.kernel
-
- LinearVectorKernel() - Constructor for class org.openimaj.ml.linear.kernel.LinearVectorKernel
-
- LineCandidate - Class in org.openimaj.image.text.extraction.swt
-
This class models a candidate line of text, with one of more word candidates
within it, from the
SWTTextDetector
.
- LineCandidate() - Constructor for class org.openimaj.image.text.extraction.swt.LineCandidate
-
- lineFromRotation(int, int, double, int) - Static method in class org.openimaj.math.geometry.line.Line2d
-
Create a line of a given length that starts at a point and has a given
angle.
- lineIterator() - Method in class org.openimaj.math.geometry.line.Line2d
-
- lineIterator() - Method in interface org.openimaj.math.geometry.path.Path2d
-
Convert the path to a iterated polyline representation
- lineIterator() - Method in class org.openimaj.math.geometry.path.Polyline
-
- LineIterators - Class in org.openimaj.image.pixel.util
-
Iterators for producing discrete pixel positions along a line.
- LineIterators() - Constructor for class org.openimaj.image.pixel.util.LineIterators
-
- LineSampler<I extends Image<?,I>,T> - Interface in org.openimaj.image.pixel.sampling
-
LineSampler
defines an interface for objects capable
of extracting information from pixels along a line in an image.
- lineTo(Pixel) - Method in class org.openimaj.image.Plotter
-
Draw a line from the current position to a pixel
- lineTo(int, int) - Method in class org.openimaj.image.Plotter
-
Draw a line from the current position to a point
- lineWithinSquare(Rectangle) - Method in class org.openimaj.math.geometry.line.Line2d
-
Given a rectangle, return the line that actually fits inside the
rectangle for this line
- Link() - Constructor for class org.openimaj.twitter.USMFStatus.Link
-
- LINK_DENSITY_THRESHOLD - Static variable in class org.openimaj.web.readability.Readability
-
Threshold for removing elements with lots of links
- links - Variable in class org.openimaj.twitter.USMFStatus
-
List of links
- links - Variable in class org.openimaj.web.scraping.images.ImgurClient.ImageResponse
-
various links
- ListBackedDataset<T> - Class in org.openimaj.data.dataset
-
- ListBackedDataset() - Constructor for class org.openimaj.data.dataset.ListBackedDataset
-
Construct with the an empty
ArrayList
as the backing store.
- ListBackedDataset(List<T>) - Constructor for class org.openimaj.data.dataset.ListBackedDataset
-
Construct with the given list of items.
- ListBackedDataset(Iterable<T>) - Constructor for class org.openimaj.data.dataset.ListBackedDataset
-
Construct by consuming the contents of the given iterator into the
backing list.
- listBipolarSentiment() - Static method in class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
- ListDataset<INSTANCE> - Interface in org.openimaj.data.dataset
-
- listener - Variable in class org.openimaj.image.feature.local.detector.ipd.finder.OctaveInterestPointFinder
-
- listener - Variable in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveInterestPointFinder
-
The listener object that gets informed when interest points are detected.
- listeners - Variable in class org.openimaj.audio.AudioGrabber
-
A list of listeners for samples
- ListFilter<IN> - Class in org.openimaj.util.function
-
- ListFilter(Predicate<IN>) - Constructor for class org.openimaj.util.function.ListFilter
-
- ListFunction<IN,OUT> - Class in org.openimaj.util.function
-
- ListFunction(Function<IN, OUT>) - Constructor for class org.openimaj.util.function.ListFunction
-
- listImageFiles() - Method in class org.openimaj.picslurper.output.WriteableImageOutput
-
- listImageFiles(String) - Method in class org.openimaj.picslurper.output.WriteableImageOutput
-
- listIterator() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- listIterator(int) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- listIterator(int) - Method in class org.openimaj.util.list.AbstractStreamBackedList
-
- listKeys() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Return a list of the keys in the sequence file.
- listKeysAndOffsets() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Return a list of the keys in the sequence file.
- ListModeOptions - Enum in org.openimaj.hadoop.tools.sequencefile
-
Options for controlling what is printed when listing the contents of a
SequenceFile
with the
SequenceFileTool
.
- ListOperation<T> - Class in org.openimaj.util.function
-
- ListOperation(Operation<T>) - Constructor for class org.openimaj.util.function.ListOperation
-
The operation to apply to a
List
of
instances
- listOptionsToExtractPolicy(List<ListModeOptions>) - Static method in enum org.openimaj.hadoop.tools.sequencefile.ListModeOptions
-
Construct a list of extractors from the given options.
- listPeople() - Method in class org.openimaj.image.processing.face.recognition.FaceRecogniser
-
- ListToArray(List<String>) - Static method in class org.openimaj.text.nlp.textpipe.annotations.AnnotationUtils
-
Converst a list of strings to an array of strings
- LiuSamarabanduTextExtractorBasic - Class in org.openimaj.image.text.extraction
-
A processor that attempts to extract text from an image.
- LiuSamarabanduTextExtractorBasic() - Constructor for class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
- LiuSamarabanduTextExtractorMultiscale - Class in org.openimaj.image.text.extraction
-
An implementation of the multiscale text extractor from
MULTISCALE EDGE-BASED TEXT EXTRACTION FROM COMPLEX IMAGES;
Xiaoqing Liu and Jagath Samarabandu
The University of Western Ontario
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4036951.
- LiuSamarabanduTextExtractorMultiscale() - Constructor for class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale
-
- LiuSamarabanduTextExtractorMultiscale.PyramidTextExtractor - Class in org.openimaj.image.text.extraction
-
This is the main processor for this text extractor.
- LMedS<I,D,M extends EstimatableModel<I,D>> - Class in org.openimaj.math.model.fit
-
Least Median of Squares robust model fitting
- LMedS(M, ResidualCalculator<I, D, M>, boolean) - Constructor for class org.openimaj.math.model.fit.LMedS
-
Construct with the given model and residual calculator.
- LMedS(M, ResidualCalculator<I, D, M>, double, boolean) - Constructor for class org.openimaj.math.model.fit.LMedS
-
Construct with the given model, residual calculator and estimated
proportion of outliers.
- LMedS(M, ResidualCalculator<I, D, M>, double, double, double, boolean) - Constructor for class org.openimaj.math.model.fit.LMedS
-
Construct with the given model, residual calculator and estimated
proportion of outliers.
- LMedS(M, ResidualCalculator<I, D, M>, boolean, CollectionSampler<IndependentPair<I, D>>) - Constructor for class org.openimaj.math.model.fit.LMedS
-
Construct with the given model and residual calculator.
- LMedS(M, ResidualCalculator<I, D, M>, double, boolean, CollectionSampler<IndependentPair<I, D>>) - Constructor for class org.openimaj.math.model.fit.LMedS
-
Construct with the given model, residual calculator and estimated
proportion of outliers.
- LMedS(M, ResidualCalculator<I, D, M>, double, double, double, boolean, CollectionSampler<IndependentPair<I, D>>) - Constructor for class org.openimaj.math.model.fit.LMedS
-
Construct with the given model, residual calculator and estimated
proportion of outliers.
- LmtNode - Class in org.openimaj.math.geometry.shape.util.polygon
-
Local minima table
- LmtNode(double) - Constructor for class org.openimaj.math.geometry.shape.util.polygon.LmtNode
-
- LmtTable - Class in org.openimaj.math.geometry.shape.util.polygon
-
- LmtTable() - Constructor for class org.openimaj.math.geometry.shape.util.polygon.LmtTable
-
- load(InputStream) - Static method in class com.jsaragih.Tracker
-
- load(InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.model.asm.datasets.AMToolsSampleDataset
-
Get a dataset of the IMM images and points.
- load(InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.model.asm.datasets.IMMFaceDatabase
-
Get a dataset of the IMM images and points.
- load() - Method in enum org.openimaj.image.processing.face.detection.HaarCascadeDetector.BuiltInCascade
-
Create a new detector with the this cascade.
- load(File) - Static method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- load(String) - Static method in class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Load a tracker from a file.
- load(InputStream) - Static method in class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Load a tracker from an input stream.
- load(T) - Static method in class org.openimaj.io.Cache
-
- load(Class<? extends T>, Object...) - Static method in class org.openimaj.io.Cache
-
Create an instance of the clazz for the objects (for the constructor).
- load(T, Class<? extends T>, boolean) - Static method in class org.openimaj.io.Cache
-
- load(String) - Method in class org.openimaj.web.layout.LayoutExtractor
-
Load a web page from a URL
- load(URL) - Method in class org.openimaj.web.layout.LayoutExtractor
-
Load a web page from a URL
- load(URL) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Load the page with the given URL
- load(URL, long) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Load the page with the given URL
- load(String, long) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Load the page with the given URL
- load(String) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Load the page with the given URL
- load(List<SparseFloatArray>, TDoubleArrayList, boolean, int, int[], int[], int[]) - Method in class org.openimaj.workinprogress.sgdsvm.Loader
-
- loadAgent(Class<?>) - Static method in class org.openimaj.aop.agent.AgentLoader
-
Attempt to dynamically load the given agent class
- loadASFDataset(String, InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.model.asm.datasets.ShapeModelDatasets
-
Load a dataset from ASF format files as used by the IMM dataset.
- loadClasses(Generator.GeneratorOptions, RepositoryConnection) - Static method in class org.openimaj.rdf.owl2java.ClassDef
-
Loads all the class definitions from the given repository
- loadCluster(Mapper<Text, BytesWritable, IntWritable, BytesWritable>.Context) - Static method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Map
-
- loadCon(InputStream) - Static method in class com.jsaragih.IO
-
Load connections
- loadConfig() - Static method in class org.openimaj.picslurper.PicSlurper
-
Load the configuration file which looks for twitter usernames and
passwords.
- loadCorrespondingImage(File) - Method in class org.openimaj.tools.vis.QuantisedSIFTPatchExtractor
-
- loadedFromAPI() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- Loader - Class in org.openimaj.workinprogress.sgdsvm
-
- Loader(String) - Constructor for class org.openimaj.workinprogress.sgdsvm.Loader
-
- loadFinished(boolean) - Method in class org.openimaj.web.ProgrammaticBrowser
-
- loadHTML(String) - Method in class org.openimaj.web.layout.LayoutExtractor
-
Load a web page from an HTML string
- loadHTML(String) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Load the given html string into the browser
- loadImage(File) - Method in class org.openimaj.video.FileBackedVideo
-
- loadImage(File) - Method in class org.openimaj.video.FImageFileBackedVideo
-
- loadImage(File) - Method in class org.openimaj.video.MBFImageFileBackedVideo
-
- loadJudgments(String) - Static method in class org.lemurproject.ireval.IREval
-
Loads a TREC judgments file.
- loadMapData() - Method in class org.openimaj.workinprogress.Snap
-
- loadModel(File) - Method in class org.openimaj.ml.annotation.svm.SVMAnnotator
-
Load an existing svm model.
- loadMoG(File) - Static method in class org.openimaj.demos.FVFWCheckPCAGMM
-
- loadOptions(Mapper<LongWritable, Text, LongWritable, Text>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.DateTwitterPreprocessingMapper
-
- loadOptions(Mapper<LongWritable, Text, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.Map
-
- loadOptions(Mapper<LongWritable, BytesWritable, Text, BytesWritable>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.Map
-
- loadOptions(Reducer<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.NonCombinedTimesReducer
-
- loadOptions(Mapper<LongWritable, Text, BytesWritable, BytesWritable>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmit
-
- loadOptions(Mapper<Text, BytesWritable, NullWritable, Text>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordTimeperiodValueMapper
-
- loadOptions(Reducer<Text, BytesWritable, NullWritable, Text>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordValueCorrelationReducer
-
- loadOptions(Mapper<Text, BytesWritable, LongWritable, BytesWritable>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.MapValuesByTime
-
- loadOptions(Mapper<Text, BytesWritable, NullWritable, Text>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.MapValuesByWord
-
- loadOptions(Reducer<LongWritable, BytesWritable, NullWritable, Text>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.ReduceValuesByTime
-
- loadOptions(Mapper<LongWritable, Text, NullWritable, Text>.Context) - Static method in class org.openimaj.hadoop.tools.twitter.TwitterPreprocessingMapper
-
- loadPatches(File) - Static method in class org.openimaj.workinprogress.featlearn.RandomPatchSampler
-
- loadPCA(File) - Static method in class org.openimaj.demos.FVFWCheckPCAGMM
-
- loadPTSDataset(String, String, String, InputStreamObjectReader<IMAGE>) - Static method in class org.openimaj.image.model.asm.datasets.ShapeModelDatasets
-
Load a dataset from PTS format files as used by Tim Cootes's ASM/AAM
tools.
- loadRanking(String) - Static method in class org.lemurproject.ireval.IREval
-
Reads in a TREC ranking file.
- loadReference() - Method in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- loadSamplesFile() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
load the samples file
- loadSkipCache(Class<? extends T>, Object...) - Static method in class org.openimaj.io.Cache
-
Create an instance of the clazz for the objects (for the constructor).
- loadStarted() - Method in class org.openimaj.web.ProgrammaticBrowser
-
- loadStats(Path) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
- loadTimeCounts(Path) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
Load the total pairs seen in every time period from the pairmi location
provided
- loadToken(Class<T>, String) - Method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Load a token with an optional name tag from the backing store.
- loadTrainingSet(InputStream, int) - Method in class org.openimaj.classifier.citylandscape.CityLandscapeTree
-
Loads a training set of a given size from an input stream
- loadTri(InputStream) - Static method in class com.jsaragih.IO
-
Load triangles
- loadXuggleVideo(String) - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection.FromFile
-
- loadXuggleVideo(String) - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection.FromURL
-
- loadXuggleVideo(String) - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection
-
- loadXuggleVideo(String) - Method in class org.openimaj.tools.imagecollection.collection.video.YouTubeVideoImageCollection
-
- LocalColourFeatureMode - Class in org.openimaj.picslurper.client
-
- LocalColourFeatureMode() - Constructor for class org.openimaj.picslurper.client.LocalColourFeatureMode
-
- LocalConsistentKeypointMatcher<T extends Keypoint> - Class in org.openimaj.feature.local.matcher.consistent
-
Improved version of ConsistentKeypointMatcher.
- LocalConsistentKeypointMatcher(int) - Constructor for class org.openimaj.feature.local.matcher.consistent.LocalConsistentKeypointMatcher
-
Default constructor
- LocalContrastFilter - Class in org.openimaj.image.processing.algorithm
-
Local contrast filter; replaces each pixel with the difference between the
maximum and minimum of its neighbours.
- LocalContrastFilter(Set<Pixel>) - Constructor for class org.openimaj.image.processing.algorithm.LocalContrastFilter
-
Construct with the given support region for selecting pixels to take the
median from.
- LocalFeature<L extends Location,T extends FeatureVector> - Interface in org.openimaj.feature.local
-
- LocalFeatureExtractor<FEATURE extends LocalFeature<?,?>,OBJECT> - Interface in org.openimaj.feature.local
-
Interface for objects capable of extracting local features from a given
object.
- LocalFeatureImpl<L extends Location,F extends FeatureVector> - Class in org.openimaj.feature.local
-
- LocalFeatureImpl(L, F) - Constructor for class org.openimaj.feature.local.LocalFeatureImpl
-
- LocalFeatureList<T extends LocalFeature<?,?>> - Interface in org.openimaj.feature.local.list
-
- LocalFeatureListDataSource<T extends LocalFeature<?,? extends ArrayFeatureVector<F>>,F> - Class in org.openimaj.feature.local.data
-
- LocalFeatureListDataSource(LocalFeatureList<T>) - Constructor for class org.openimaj.feature.local.data.LocalFeatureListDataSource
-
Construct with the given list of data
- LocalFeatureListDataSource(LocalFeatureList<T>...) - Constructor for class org.openimaj.feature.local.data.LocalFeatureListDataSource
-
Construct with the given lists of data
- LocalFeatureListDataSource(List<LocalFeatureList<T>>) - Constructor for class org.openimaj.feature.local.data.LocalFeatureListDataSource
-
Construct with the given lists of data
- LocalFeatureListDataSource(Map<?, LocalFeatureList<T>>) - Constructor for class org.openimaj.feature.local.data.LocalFeatureListDataSource
-
Construct with the given map of data.
- LocalFeatureListIndex<K extends ReadWriteable,V extends LocalFeature<?,?>> - Class in org.openimaj.feature.local.list
-
LocalFeatureListIndex is a @{link ReadWriteable} map of keys to local feature
lists.
- LocalFeatureListIndex() - Constructor for class org.openimaj.feature.local.list.LocalFeatureListIndex
-
- LocalFeatureMatcher<T extends LocalFeature<?,?>> - Interface in org.openimaj.feature.local.matcher
-
Interface for objects able to match sets of local features against each
other.
- LocalFeatureMode - Enum in org.openimaj.tools.localfeature.options
-
Types of local feature
- LocalFeatureMode.AbstractDoGSIFTModeOp - Class in org.openimaj.tools.localfeature.options
-
- LocalFeatureMode.LocalFeatureModeOp - Class in org.openimaj.tools.localfeature.options
-
- LocalFeatureProvider<T extends FeatureVector> - Interface in org.openimaj.image.feature.local.descriptor
-
Base interface for classes capable of building local descriptors.
- localFeaturesDir - Variable in class org.openimaj.tools.cbir.VLADBuilder
-
- LocalFeaturesMain - Class in org.openimaj.tools.localfeature
-
Main tool entry point
- LocalFeaturesMain() - Constructor for class org.openimaj.tools.localfeature.LocalFeaturesMain
-
- LocalFeatureVectorProvider<L extends Location,T extends FeatureVector> - Interface in org.openimaj.feature.local
-
- LocalFileTweetSpout - Class in org.openimaj.picslurper
-
- LocalFileTweetSpout(String...) - Constructor for class org.openimaj.picslurper.LocalFileTweetSpout
-
- LocalHistogramExtractor - Class in org.openimaj.tools.globalfeature.type
-
Local (block-based) pixel histograms
- LocalHistogramExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.LocalHistogramExtractor
-
- LocalHistogramVideoShotDetector - Class in org.openimaj.video.processing.shotdetector
-
A shot detector implementing the Steiner et al.
- LocalHistogramVideoShotDetector(int) - Constructor for class org.openimaj.video.processing.shotdetector.LocalHistogramVideoShotDetector
-
- LocalHistogramVideoShotDetector(Video<MBFImage>, int) - Constructor for class org.openimaj.video.processing.shotdetector.LocalHistogramVideoShotDetector
-
- LOCALHOST - Static variable in class org.openimaj.kestrel.KestrelServerSpec
-
the localhost
- LocalImageExtractorProperties<I extends Image<?,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.feature.local.extraction
-
An extended
ExtractorProperties
that holds the image being processed
and interest point location
- LocalImageExtractorProperties() - Constructor for class org.openimaj.image.feature.local.extraction.LocalImageExtractorProperties
-
- LocalLBPHistogram - Class in org.openimaj.image.processing.face.feature
-
A
FacialFeature
built from decomposing the face image into
(non-overlapping) blocks and building histograms of the
ExtendedLocalBinaryPattern
s for each block and then concatenating to
form the final feature.
- LocalLBPHistogram() - Constructor for class org.openimaj.image.processing.face.feature.LocalLBPHistogram
-
- LocalLBPHistogram.Extractor<T extends DetectedFace> - Class in org.openimaj.image.processing.face.feature
-
- localMemcached() - Static method in class org.openimaj.kestrel.KestrelServerSpec
-
- LocalTernaryPattern - Class in org.openimaj.image.feature.dense.binarypattern
-
Implementation of a Local Ternary Pattern.
- LocalTernaryPattern(float, int, float) - Constructor for class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
Construct an LTP extractor with the given parameters.
- localText() - Static method in class org.openimaj.kestrel.KestrelServerSpec
-
- localThrift() - Static method in class org.openimaj.kestrel.KestrelServerSpec
-
- LocalTopologyMode - Class in org.openimaj.rdf.storm.tool.topology
-
The local topology for testing.
- LocalTopologyMode() - Constructor for class org.openimaj.rdf.storm.tool.topology.LocalTopologyMode
-
- LocalTweetSpout - Class in org.openimaj.picslurper
-
- LocalTweetSpout() - Constructor for class org.openimaj.picslurper.LocalTweetSpout
-
- LocalUniformBinaryPatternHistogram - Class in org.openimaj.image.feature.dense.binarypattern
-
Class for extracting histograms of Local Uniform Binary Patterns.
- LocalUniformBinaryPatternHistogram(int, int) - Constructor for class org.openimaj.image.feature.dense.binarypattern.LocalUniformBinaryPatternHistogram
-
Construct the extractor with the given block size for each local patch.
- LocatedObject(double, double, O) - Constructor for class org.openimaj.vis.general.XYPlotVisualisation.LocatedObject
-
Create a located object
- LocatedObject3D(double, double, double, D) - Constructor for class org.openimaj.vis.general.XYZVisualisation3D.LocatedObject3D
-
Constructor
- location - Variable in class org.openimaj.feature.local.LocalFeatureImpl
-
- Location - Interface in org.openimaj.feature.local
-
The Location interface models an object that has
a spatial position in some sense.
- location - Variable in class org.openimaj.feature.local.quantised.QuantisedLocalFeature
-
The location of the local feature
- location - Variable in class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
The feature location
- location - Variable in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
The location of the point
- location - Variable in class org.openimaj.tools.clusterquantiser.FeatureFileFeature
-
The location
- location - Variable in class org.openimaj.twitter.USMFStatus
-
Plain Language content creation location
- location - Variable in class org.openimaj.twitter.USMFStatus.User
-
Plain Language User location
- locationEquals(Object) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- locationEquals(Object) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- LocationFilter - Interface in org.openimaj.feature.local
-
A LocationFilter is capable of filtering
Location
objects.
- LocationProvider<L extends Location> - Interface in org.openimaj.feature.local
-
A
LocationProvider
marks classes that have an associated Location or
are capable of producing a
Location
from their internal state.
- lock() - Method in class org.openimaj.experiment.ExperimentContext
-
- LOCKY - Class in org.openimaj.workinprogress
-
- LOCKY() - Constructor for class org.openimaj.workinprogress.LOCKY
-
- LOCKY(float) - Constructor for class org.openimaj.workinprogress.LOCKY
-
- LOG - Static variable in class backtype.storm.spout.KestrelThriftSpout
-
- logger - Static variable in class org.openimaj.image.FImage
-
The logging class
- logger - Static variable in class org.openimaj.picslurper.StatusConsumer
-
The logger
- logger - Variable in class org.openimaj.stream.provider.twitter.AbstractTwitterSearchDataset
-
- LoggerUtils - Class in org.openimaj.logger
-
Make using log4j slightly less awful
- LoggerUtils() - Constructor for class org.openimaj.logger.LoggerUtils
-
- Logging() - Constructor for class org.openimaj.image.feature.local.engine.ipd.FinderMode.Logging
-
- LoggingOctaveInterestPointFinder<T extends InterestPointData> - Class in org.openimaj.image.feature.local.detector.ipd.finder
-
Finder with a specified detector which finds interest points at a given
gaussian octave.
- LoggingOctaveInterestPointFinder(MultiscaleInterestPointDetector<T>, IPDSelectionMode) - Constructor for class org.openimaj.image.feature.local.detector.ipd.finder.LoggingOctaveInterestPointFinder
-
instantiate scalepoints the superclass and scalepoints to log
- LOGIN_KEY - Variable in class org.openimaj.stream.provider.irc.BasicIRCStreamDataset
-
The login key
- logInplace() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- logProbability(double[][], MultivariateGaussian[]) - Static method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Compute the log probability of the given data points belonging to each of
the given gaussians
- logProbability(double[][]) - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Compute the log probability of the given data points belonging to each of
the gaussians
- logScale() - Method in class org.openimaj.picslurper.client.LocalColourFeatureMode
-
- logScale() - Method in class org.openimaj.picslurper.client.SIFTTrendFeatureMode
-
- logScale() - Method in interface org.openimaj.picslurper.client.TrendDetectorFeatureExtractor
-
- logSum(double, double) - Static method in class org.openimaj.math.util.MathUtils
-
Given log(a) and log(b) calculate log(a + b) boils down to log(
exp(log_a) + exp(log_b) ) but this might overflow, so we turn this into
log([exp(log_a - log_c) + exp(log_b - log_c)]exp(log_c)) and we set log_c
== max(log_a,log_b) and so it becomes: LARGE + log(1 + exp(SMALL -
LARGE)) == LARGE + log(1 + SMALL) ~= large the whole idea being to avoid
an overflow (exp(LARGE) == VERY LARGE == overflow)
- LongADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product
Quantised vectors.
- LongADCNearestNeighbours(LongProductQuantiser, long[][]) - Constructor for class org.openimaj.knn.pq.LongADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- LongADCNearestNeighbours(LongProductQuantiser, byte[][], int) - Constructor for class org.openimaj.knn.pq.LongADCNearestNeighbours
-
Construct the ADC with the given quantiser and pre-quantised data .
- LongArrayBackedDataSource - Class in org.openimaj.data
-
- LongArrayBackedDataSource(long[][]) - Constructor for class org.openimaj.data.LongArrayBackedDataSource
-
Construct with data
- LongArrayBackedDataSource(long[][], Random) - Constructor for class org.openimaj.data.LongArrayBackedDataSource
-
Construct with data and a random generator for random sampling
- LongArrayValueAnimator - Class in org.openimaj.content.animation.animator
-
- LongArrayValueAnimator(ValueAnimator<Long>...) - Constructor for class org.openimaj.content.animation.animator.LongArrayValueAnimator
-
- LongArrayView - Class in org.openimaj.util.array
-
A wrapper around a java long array that allows
views onto the array to be created without the
overhead of maintaining copies of the data.
- LongArrayView(long[], int, int) - Constructor for class org.openimaj.util.array.LongArrayView
-
Create a view on the given array from l (inclusive) to
r (exclusive).
- LongArrayView(long[]) - Constructor for class org.openimaj.util.array.LongArrayView
-
Create a view on the entirety of the given array.
- LongArrayView(int) - Constructor for class org.openimaj.util.array.LongArrayView
-
Create a view on an array of length n.
- LongBytePair - Class in org.openimaj.util.pair
-
A pair of long and byte types
- LongBytePair(long, byte) - Constructor for class org.openimaj.util.pair.LongBytePair
-
Construct pair with given values
- LongBytePair() - Constructor for class org.openimaj.util.pair.LongBytePair
-
Construct empty pair
- LongCauchyFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that use a Cauchy
distribution to approximate L1 distance.
- LongCauchyFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.LongCauchyFactory
-
Construct the factory with the given parameters.
- LongCentroidsResult - Class in org.openimaj.ml.clustering
-
- LongCentroidsResult() - Constructor for class org.openimaj.ml.clustering.LongCentroidsResult
-
- LongDoublePair - Class in org.openimaj.util.pair
-
A pair of long and double types
- LongDoublePair(long, double) - Constructor for class org.openimaj.util.pair.LongDoublePair
-
Construct pair with given values
- LongDoublePair() - Constructor for class org.openimaj.util.pair.LongDoublePair
-
Construct empty pair
- LongFloatPair - Class in org.openimaj.util.pair
-
A pair of long and float types
- LongFloatPair(long, float) - Constructor for class org.openimaj.util.pair.LongFloatPair
-
Construct pair with given values
- LongFloatPair() - Constructor for class org.openimaj.util.pair.LongFloatPair
-
Construct empty pair
- LongFV - Class in org.openimaj.feature
-
Basic long single-dimensional feature vector implementation
- LongFV() - Constructor for class org.openimaj.feature.LongFV
-
Construct an empty feature vector
- LongFV(int) - Constructor for class org.openimaj.feature.LongFV
-
Construct empty FV with given number of bins
- LongFV(long[]) - Constructor for class org.openimaj.feature.LongFV
-
Construct from flattened values array and dimensions
- LongFVComparator - Interface in org.openimaj.feature
-
Comparison/distance methods for LongFV objects.
- LongFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for LongFV objects.
- LongGaussianFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions using Gaussian
distributions to approximate the Euclidean distance.
- LongGaussianFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.LongGaussianFactory
-
Construct with the given parameters.
- LongHammingFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that approximate the
Hamming distance.
- LongHammingFactory(int, MersenneTwister, int) - Constructor for class org.openimaj.lsh.functions.LongHammingFactory
-
Construct a new factory using the given parameters.
- LongHashFunction - Class in org.openimaj.lsh.functions
-
- LongHashFunctionFactory - Class in org.openimaj.lsh.functions
-
- LongHashFunctionFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.LongHashFunctionFactory
-
- LongHyperplaneCosineFactory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate cosine
distance using hyperplanes.
- LongHyperplaneCosineFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.LongHyperplaneCosineFactory
-
Construct with the given arguments.
- LongHyperplaneL1Factory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate L1
(city-block) distance in closed spaces using random axis-aligned hyperplanes.
- LongHyperplaneL1Factory(int, MersenneTwister, long, long) - Constructor for class org.openimaj.lsh.functions.LongHyperplaneL1Factory
-
Construct with the given arguments.
- LongIntPair - Class in org.openimaj.util.pair
-
A pair of long and int types
- LongIntPair(long, int) - Constructor for class org.openimaj.util.pair.LongIntPair
-
Construct pair with given values
- LongIntPair() - Constructor for class org.openimaj.util.pair.LongIntPair
-
Construct empty pair
- LongKDTree - Class in org.openimaj.util.tree
-
Immutable KD-Tree implementation for long[] data.
- LongKDTree(long[][]) - Constructor for class org.openimaj.util.tree.LongKDTree
-
- LongKDTree(long[][], LongKDTree.SplitChooser) - Constructor for class org.openimaj.util.tree.LongKDTree
-
Construct with the given data and splitting strategy
- LongKDTree.ApproximateBBFMedianSplit - Class in org.openimaj.util.tree
-
Approximate best-bin-first median splitting.
- LongKDTree.BasicMedianSplit - Class in org.openimaj.util.tree
-
Basic median split.
- LongKDTree.BBFMedianSplit - Class in org.openimaj.util.tree
-
Best-bin-first median splitting.
- LongKDTree.KDTreeNode - Class in org.openimaj.util.tree
-
An internal node of the KDTree
- LongKDTree.RandomisedBBFMeanSplit - Class in org.openimaj.util.tree
-
Randomised best-bin-first splitting strategy:
Nodes with less than a set number of items become leafs.
- LongKDTree.SplitChooser - Interface in org.openimaj.util.tree
-
Interface for describing how a branch in the KD-Tree should be created
- LongKDTreeEnsemble - Class in org.openimaj.knn.approximate
-
Ensemble of Best-Bin-First KDTrees for long data.
- LongKDTreeEnsemble(long[][]) - Constructor for class org.openimaj.knn.approximate.LongKDTreeEnsemble
-
Construct a LongKDTreeEnsemble with the provided data,
using the default of 8 trees.
- LongKDTreeEnsemble(long[][], int) - Constructor for class org.openimaj.knn.approximate.LongKDTreeEnsemble
-
Construct a LongKDTreeEnsemble with the provided data and
number of trees.
- LongKDTreeEnsemble(long[][], int, int) - Constructor for class org.openimaj.knn.approximate.LongKDTreeEnsemble
-
Construct a LongKDTreeEnsemble with the provided data and
number of trees.
- LongKDTreeEnsemble.LongKDTreeNode - Class in org.openimaj.knn.approximate
-
An internal node of the KDTree
- LongKDTreeNode() - Constructor for class org.openimaj.knn.approximate.LongKDTreeEnsemble.LongKDTreeNode
-
Construct a new node
- LongKDTreeNode(long[][], IntArrayView, Uniform) - Constructor for class org.openimaj.knn.approximate.LongKDTreeEnsemble.LongKDTreeNode
-
Construct a new node with the given data
- LongKMeans - Class in org.openimaj.ml.clustering.kmeans
-
Fast, parallel implementation of the K-Means algorithm with support for
bigger-than-memory data.
- LongKMeans(KMeansConfiguration<LongNearestNeighbours, long[]>) - Constructor for class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Construct the clusterer with the the given configuration.
- LongKMeans() - Constructor for class org.openimaj.ml.clustering.kmeans.LongKMeans
-
A completely default
LongKMeans
used primarily as a convenience function for reading.
- LongKMeans.Result - Class in org.openimaj.ml.clustering.kmeans
-
Result object for LongKMeans, extending LongCentroidsResult and LongNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
- LongKMeansInit - Class in org.openimaj.ml.clustering.kmeans
-
Initialisation for K-Means clustering.
- LongKMeansInit() - Constructor for class org.openimaj.ml.clustering.kmeans.LongKMeansInit
-
- LongKMeansInit.RANDOM - Class in org.openimaj.ml.clustering.kmeans
-
Simple kmeans initialized on randomly selected samples.
- LongKNNAssigner - Class in org.openimaj.ml.clustering.assignment.soft
-
A
SoftAssigner
that picks a fixed number of nearest neighbours.
- LongKNNAssigner(CentroidsProvider<long[]>, boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
Construct the assigner using the given cluster data.
- LongKNNAssigner(long[][], boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
Construct the assigner using the given cluster data.
- LongKNNAssigner(CentroidsProvider<long[]>, LongFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- LongKNNAssigner(long[][], LongFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- LongLongPair - Class in org.openimaj.util.pair
-
A pair of long and long types
- LongLongPair(long, long) - Constructor for class org.openimaj.util.pair.LongLongPair
-
Construct pair with given values
- LongLongPair() - Constructor for class org.openimaj.util.pair.LongLongPair
-
Construct empty pair
- LongLSHSketcher<OBJECT> - Class in org.openimaj.lsh.sketch
-
A
Sketcher
that produces bit-string sketches encoded as long arrays.
- LongLSHSketcher(List<HashFunction<OBJECT>>) - Constructor for class org.openimaj.lsh.sketch.LongLSHSketcher
-
Construct with the given functions.
- LongLSHSketcher(HashFunction<OBJECT>, HashFunction<OBJECT>...) - Constructor for class org.openimaj.lsh.sketch.LongLSHSketcher
-
Construct with the given functions.
- LongLSHSketcher(HashFunctionFactory<OBJECT>, int) - Constructor for class org.openimaj.lsh.sketch.LongLSHSketcher
-
Construct with the factory which is used to produce the required number
of functions.
- LongNearestNeighbours - Class in org.openimaj.knn
-
Abstract base class for k-nearest-neighbour calculations with long[] data.
- LongNearestNeighbours() - Constructor for class org.openimaj.knn.LongNearestNeighbours
-
- LongNearestNeighboursExact - Class in org.openimaj.knn
-
Exact (brute-force) k-nearest-neighbour implementation.
- LongNearestNeighboursExact(long[][]) - Constructor for class org.openimaj.knn.LongNearestNeighboursExact
-
Construct the LongNearestNeighboursExact over the provided
dataset and using Euclidean distance.
- LongNearestNeighboursExact(long[][], LongFVComparator) - Constructor for class org.openimaj.knn.LongNearestNeighboursExact
-
Construct the LongNearestNeighboursExact over the provided
dataset with the given distance function.
- LongNearestNeighboursExact.Factory - Class in org.openimaj.knn
-
- LongNearestNeighboursKDTree - Class in org.openimaj.knn.approximate
-
Fast Nearest-Neighbours for long data using an ensemble of Best-Bin-First KDTrees.
- LongNearestNeighboursKDTree(long[][], int, int) - Constructor for class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
Construct the LongNearestNeighboursKDTree with the given options.
- LongNearestNeighboursKDTree.Factory - Class in org.openimaj.knn.approximate
-
- LongNearestNeighboursProvider - Interface in org.openimaj.knn
-
Interface for classes able to expose a k-nearest-neighbour object.
- LongObjectPair<Q> - Class in org.openimaj.util.pair
-
A pair of long and a generic type
- LongObjectPair(long, Q) - Constructor for class org.openimaj.util.pair.LongObjectPair
-
Construct pair with given values
- LongObjectPair() - Constructor for class org.openimaj.util.pair.LongObjectPair
-
Construct empty pair
- LongProductQuantiser - Class in org.openimaj.knn.pq
-
Implementation of a Product Quantiser for vectors/arrays of longs.
- LongProductQuantiser(LongNearestNeighboursExact[]) - Constructor for class org.openimaj.knn.pq.LongProductQuantiser
-
- LongProductQuantiserUtilities - Class in org.openimaj.knn.pq
-
- LongPStableFactory - Class in org.openimaj.lsh.functions
-
Base class for hashing schemes based on P-Stable distributions.
- LongPStableFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.LongPStableFactory
-
Construct with the given parameters.
- LongPStableFactory.PStableFunction - Class in org.openimaj.lsh.functions
-
- LongSDCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Symmetric Distance Computation (SDC) on Product
Quantised vectors.
- LongSDCNearestNeighbours(LongProductQuantiser, long[][][], long[][]) - Constructor for class org.openimaj.knn.pq.LongSDCNearestNeighbours
-
Construct the SDC with the given quantiser, centroids (corresponding to
the quantiser's internal assigners), and data.
- LongShortPair - Class in org.openimaj.util.pair
-
A pair of long and short types
- LongShortPair(long, short) - Constructor for class org.openimaj.util.pair.LongShortPair
-
Construct pair with given values
- LongShortPair() - Constructor for class org.openimaj.util.pair.LongShortPair
-
Construct empty pair
- lookup - Variable in class org.openimaj.storm.util.graph.StormGraphCreator.NamingStrategy.AlphabeticNamingStrategy
-
maps names to their original name
- loop(ReversableValueAnimator<T>) - Static method in class org.openimaj.content.animation.animator.ForwardBackwardLoopingValueAnimator
-
- loop(ValueAnimator<T>) - Static method in class org.openimaj.content.animation.animator.LoopingValueAnimator
-
- loop(int, boolean) - Method in class org.openimaj.text.nlp.geocode.GeonamesIndexGenerator
-
Main processing loop for the function
- loop() - Method in class org.openimaj.text.nlp.io.FileLooper
-
Iterates through each line to do the work.
- loop() - Method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder.StreamLooper
-
Iterates through each line to do the work.
- LoopingValueAnimator<T> - Class in org.openimaj.content.animation.animator
-
- LoopingValueAnimator(ValueAnimator<T>) - Constructor for class org.openimaj.content.animation.animator.LoopingValueAnimator
-
Construct around the given
ValueAnimator
to
provide looping behavior.
- LOSS - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
- loss - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- loss - Variable in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- Loss - Interface in org.openimaj.workinprogress.sgdsvm
-
- loss(double, double) - Method in interface org.openimaj.workinprogress.sgdsvm.Loss
-
- LossFunction - Class in org.openimaj.ml.linear.learner.loss
-
With a held Y and X, return gradient and evaluations of
a loss function of some parameters s.t.
- LossFunction() - Constructor for class org.openimaj.ml.linear.learner.loss.LossFunction
-
- LossFunction - Class in org.openimaj.ml.linear.learner.matlib.loss
-
With a held Y and X, return gradient and evaluations of
a loss function of some parameters s.t.
- LossFunction() - Constructor for class org.openimaj.ml.linear.learner.matlib.loss.LossFunction
-
- LossFunctions - Enum in org.openimaj.workinprogress.sgdsvm
-
- lowest(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues
-
Compute the smallest eigenvalues in magnitude.
- lowFrequency - Variable in class org.openimaj.audio.filters.TriangularFilter
-
The lowest frequency of the filter
- lowSlope - Variable in class org.openimaj.audio.filters.TriangularFilter
-
The slope of first half of the filter.
- LRIntensityBalance - Class in org.openimaj.image.feature.global
-
Implementation of the intensity balance algorithm described by Yeh et al.
- LRIntensityBalance() - Constructor for class org.openimaj.image.feature.global.LRIntensityBalance
-
Construct with the default 64 intensity histogram bins.
- LRIntensityBalance(int) - Constructor for class org.openimaj.image.feature.global.LRIntensityBalance
-
Construct with the given number of intensity histogram bins.
- LrIntensityBalanceExtractor - Class in org.openimaj.tools.globalfeature.type
-
Left-right intensity balance
- LrIntensityBalanceExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.LrIntensityBalanceExtractor
-
- LSBModifier<O> - Class in org.openimaj.util.hash.modifier
-
HashModifier
that extracts the Least Significant Bit of the
underlying hash.
- LSBModifier(HashFunction<O>) - Constructor for class org.openimaj.util.hash.modifier.LSBModifier
-
Construct with the given hash function
- LSHGroupingComparator() - Constructor for class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.LSHGroupingComparator
-
- LSHMapper() - Constructor for class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.LSHMapper
-
- LSHNearestNeighbours<OBJECT> - Class in org.openimaj.knn.lsh
-
Nearest-neighbours based on Locality Sensitive Hashing (LSH).
- LSHNearestNeighbours(List<HashFunction<OBJECT>>, DistanceComparator<OBJECT>) - Constructor for class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Construct with the given hash functions and distance function.
- LSHNearestNeighbours(HashFunctionFactory<OBJECT>, int, DistanceComparator<OBJECT>) - Constructor for class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Construct with the given hash function factory which will be used to
initialize the requested number of hash tables.
- LSHPartitioner() - Constructor for class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.LSHPartitioner
-
- LSHReducer() - Constructor for class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.LSHReducer
-
- LtpDtFeature - Class in org.openimaj.image.processing.face.feature.ltp
-
The LTP based feature using a truncated Euclidean distance transform
to estimate the distances within each slice.
- LtpDtFeature(FImage, FImage, LTPWeighting) - Constructor for class org.openimaj.image.processing.face.feature.ltp.LtpDtFeature
-
- LtpDtFeature.Extractor<Q extends DetectedFace> - Class in org.openimaj.image.processing.face.feature.ltp
-
- LtpDtFeatureComparator - Class in org.openimaj.image.processing.face.feature.comparison
-
A comparator for Local Trinary Pattern Features using a
Euclidean distance transform.
- LtpDtFeatureComparator() - Constructor for class org.openimaj.image.processing.face.feature.comparison.LtpDtFeatureComparator
-
- ltpPixels - Variable in class org.openimaj.image.processing.face.feature.ltp.AbstractLtpDtFeature
-
The pixels forming the binary patterns in each slice
- LTPWeighting - Interface in org.openimaj.image.processing.face.feature.ltp
-
- LuoSimplicity - Class in org.openimaj.image.feature.global
-
Estimate the simplicity of an image by looking at the colour distribution of
the background using the algorithm defined by Yiwen Luo and Xiaoou Tang.
- LuoSimplicity() - Constructor for class org.openimaj.image.feature.global.LuoSimplicity
-
Construct with the defaults of 16 histograms per image band and a gamma
value of 0.01.
- LuoSimplicity(int, float, float, int, int, int, int) - Constructor for class org.openimaj.image.feature.global.LuoSimplicity
-
Construct with the given parameters.
- LuoSimplicityExtractor - Class in org.openimaj.tools.globalfeature.type
-
Luo's simplicity feature
- LuoSimplicityExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.LuoSimplicityExtractor
-
- LuoTangSubjectRegion - Class in org.openimaj.image.saliency
-
Extract the subject region of an image based on the
part that is least blurred (most in-focus).
- LuoTangSubjectRegion() - Constructor for class org.openimaj.image.saliency.LuoTangSubjectRegion
-
- LuoTangSubjectRegion(float, int, int, int, int) - Constructor for class org.openimaj.image.saliency.LuoTangSubjectRegion
-
Construct with the given parameters.
- lut - Static variable in class org.openimaj.image.feature.dense.binarypattern.UniformBinaryPattern
-
- lxmxblur - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- lxmyblur - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- lymyblur - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- lzoCompress() - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
- M - Variable in class org.openimaj.ml.clustering.random.RandomByteClusterer
-
- M - Variable in class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
- M - Variable in class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
- M - Variable in class org.openimaj.ml.clustering.random.RandomIntClusterer
-
- M - Variable in class org.openimaj.ml.clustering.random.RandomLongClusterer
-
- M - Variable in class org.openimaj.ml.clustering.random.RandomShortClusterer
-
- m01() - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
Get the value of m01
- m10() - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
Get the value of m10
- MAGENTA - Static variable in class org.openimaj.image.colour.RGBColour
-
Magenta colour as RGB
- magnification - Variable in class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor
-
The magnification factor determining the size of the sampling region
relative to the scale of the interest point.
- magnification - Variable in class org.openimaj.image.feature.local.detector.dog.extractor.GradientFeatureExtractor
-
The magnification factor determining the size of the sampling region
relative to the scale of the interest point.
- magnificationFactor - Variable in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
The magnification factor determining the size of a spatial SIFT bin
relative to the scale.
- magnitude - Variable in class org.openimaj.image.feature.local.extraction.GradientScaleSpaceImageExtractorProperties
-
The gradient magnitude map
- magnitude - Variable in class org.openimaj.image.processing.convolution.CLSobel
-
The computed Sobel magnitude
- magnitude - Variable in class org.openimaj.image.processing.edges.EdgeFinder
-
The magnitudes of each edge as worked out by the hypotenuse of the triangle formed by the dx and dy of a pixel
- magnitudes - Variable in class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor
-
- magnitudes - Variable in class org.openimaj.image.processing.convolution.FImageGradients
-
The gradient magnitudes
- MagnitudeSpectrum - Class in org.openimaj.audio.features
-
A wrapper around the JAudio magnitude spectrum feature extractor.
- MagnitudeSpectrum() - Constructor for class org.openimaj.audio.features.MagnitudeSpectrum
-
Default constructor
- magnitudeThreshold - Variable in class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
- magnitudeThreshold - Variable in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Threshold on the magnitude of detected points (Lowe IJCV, p.11)
- main(String[]) - Static method in class backtype.storm.spout.TestTopology
-
- main(String...) - Static method in class ch.akuhn.matrix.eigenvalues.SingularValues
-
Sample main
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dct.AccuracyCheckDoubleDCT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dct.AccuracyCheckFloatDCT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkDoubleDCT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkFloatDCT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dht.AccuracyCheckDoubleDHT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dht.AccuracyCheckFloatDHT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkDoubleDHT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkFloatDHT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dst.AccuracyCheckDoubleDST
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dst.AccuracyCheckFloatDST
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkDoubleDST
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkFloatDST
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckDoubleFFT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.fft.AccuracyCheckFloatFFT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- main(String[]) - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- main(String[]) - Static method in class org.lemurproject.ireval.IREval
-
Tool main method.
- main(String[]) - Static method in class org.openimaj.aop.classloader.ClassLoaderTransform
-
Main method for an alternative in-place loading strategy.
- main(String[]) - Static method in class org.openimaj.audio.util.AudioUtils
-
- main(String[]) - Static method in class org.openimaj.citation.annotation.input.BibtexToReference
-
Helper tool to convert bibtex to
Reference
annotations.
- main(String[]) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeTree
-
Given an image filename, it will classify it.
- main(String[]) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
-
The main method
- main(String[]) - Static method in class org.openimaj.classifier.citylandscape.TrainClassifier
-
First arg: Number of images in directory to go through
Second arg: Directory of images
Third arg: File to write to
- main(String[]) - Static method in class org.openimaj.demos.BasicDuplicateImageDatabase
-
- main(String[]) - Static method in class org.openimaj.demos.ClusterTest
-
- main(String[]) - Static method in class org.openimaj.demos.Demos
-
Default main just starts the demo system.
- main(String[]) - Static method in class org.openimaj.demos.DTConsistency
-
- main(String[]) - Static method in class org.openimaj.demos.FBTest
-
- main(String[]) - Static method in class org.openimaj.demos.FisherTesting
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWCheckGMM
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWCheckPCAGMM
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWDetectAlign
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWDSift
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWDSiftPCAAugment
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWDSiftPCAAugmentGMM
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWExperiment
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWExtractMatlabVectors
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWFVEncode
-
- main(String[]) - Static method in class org.openimaj.demos.FVFWFVEncodeMatlab
-
- main(String[]) - Static method in class org.openimaj.demos.GaussPyr
-
- main(String[]) - Static method in class org.openimaj.demos.ImageFeatureMDS
-
- main(String[]) - Static method in class org.openimaj.demos.ImgDetector
-
- main(String[]) - Static method in class org.openimaj.demos.JugglingKinect
-
- main(String[]) - Static method in class org.openimaj.demos.PixelShuffle
-
- main(String[]) - Static method in class org.openimaj.demos.SimpleMosaic
-
Build a mosaic
- main(String[]) - Static method in class org.openimaj.demos.SuzukiTests
-
- main(String[]) - Static method in class org.openimaj.demos.VideoTest
-
- main(String[]) - Static method in class org.openimaj.docs.tutorial.adv.advanced.parallel.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.adv.faces.eigen.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.adv.faces.pipeeigen.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.audio.AudioWaveformDemo
-
Main method.
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.audio.FFT
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.audio.FFTEQ
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.audio.MFCCs
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.audio.MFCCsLive
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.audio.SpectralFluxLive
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.audio.Spectrogram
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.gettingstarted.maven.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.images.clustseg.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.images.datasets.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.images.firstimage.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.images.imagehist.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.images.siftmatch.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.ml.class101.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.stream.twitterimages.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.video.faces.App
-
Main method
- main(String[]) - Static method in class org.openimaj.docs.tutorial.fund.video.procvid.App
-
Main method
- main(String[]) - Static method in class org.openimaj.experiment.gmm.retrieval.UKBenchGMMExperiment
-
- main(String[]) - Static method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserTool
-
- main(String[]) - Static method in class org.openimaj.hadoop.tools.downloader.HadoopDownloader
-
Main program entry point
- main(String[]) - Static method in class org.openimaj.hadoop.tools.exif.HadoopEXIF
-
- main(String[]) - Static method in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeans
-
Main method
- main(String[]) - Static method in class org.openimaj.hadoop.tools.globalfeature.HadoopGlobalFeaturesTool
-
The main method for the tool.
- main(String[]) - Static method in class org.openimaj.hadoop.tools.image.indexing.ComputeLSHDistribution
-
Main method
- main(String[]) - Static method in class org.openimaj.hadoop.tools.image.indexing.DupsEdgeFilter
-
Main method
- main(String[]) - Static method in class org.openimaj.hadoop.tools.image.indexing.HadoopPcaVladExtractor
-
Main method
- main(String[]) - Static method in class org.openimaj.hadoop.tools.image.indexing.HadoopPqPcaVladIndexer
-
Main method
- main(String[]) - Static method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor
-
Main method
- main(String[]) - Static method in class org.openimaj.hadoop.tools.image.indexing.SimpleLSHDuplicatesFinder
-
Main method
- main(String[]) - Static method in class org.openimaj.hadoop.tools.localfeature.HadoopLocalFeaturesTool
-
The main entry point
- main(String[]) - Static method in class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexer
-
- main(String[]) - Static method in class org.openimaj.hadoop.tools.sequencefile.SequenceFileTool
-
Tool main method.
- main(String[]) - Static method in class org.openimaj.hadoop.tools.SequenceFileMerger
-
Runs the tool
- main(String[]) - Static method in class org.openimaj.hadoop.tools.twitter.HadoopCounterTest
-
- main(String[]) - Static method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingTool
-
run the tool
- main(String[]) - Static method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenTool
-
run the tool
- main(String[]) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.matlabio.MatlabIO
-
- main(String[]) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.matlabio.SparseCSVToMatlab
-
- main(String[]) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex
-
- main(String[]) - Static method in class org.openimaj.hardware.compass.CompassSerialReader
-
- main(String[]) - Static method in class org.openimaj.hardware.gps.GPSSerialReader
-
Test
- main(String[]) - Static method in class org.openimaj.hardware.kinect.KinectController
-
Test
- main(String[]) - Static method in class org.openimaj.hardware.turntable.Turntable
-
Test the turntable
- main(String[]) - Static method in class org.openimaj.image.analysis.algorithm.EuclideanDistanceTransform
-
Test the distance transform
- main(String[]) - Static method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
Testing
- main(String[]) - Static method in class org.openimaj.image.annotation.evaluation.dataset.Corel5kDataset
-
- main(String[]) - Static method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
- main(String[]) - Static method in class org.openimaj.image.calibration.TestHarness
-
- main(String[]) - Static method in class org.openimaj.image.camera.calibration.ChessboardCornerFinder
-
Simple test program
- main(String[]) - Static method in class org.openimaj.image.camera.calibration.FastChessboardDetector
-
Simple test program
- main(String[]) - Static method in class org.openimaj.image.dataset.BingImageDataset
-
- main(String[]) - Static method in class org.openimaj.image.feature.local.detector.mser.gui.TestGUI
-
- main(String[]) - Static method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
an example run
- main(String[]) - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
- main(String[]) - Static method in class org.openimaj.image.feature.local.interest.experiment.OxfordRepeatabilityExperiment
-
- main(String[]) - Static method in class org.openimaj.image.feature.local.interest.experiment.RepeatabilityExperiment
-
- main(String[]) - Static method in class org.openimaj.image.neardups.SimulationDriver
-
- main(String[]) - Static method in class org.openimaj.image.objectdetection.haar.training.DrawingTest
-
- main(String[]) - Static method in class org.openimaj.image.objectdetection.haar.training.Runner
-
- main(String[]) - Static method in class org.openimaj.image.objectdetection.haar.training.Testing
-
- main(String[]) - Static method in class org.openimaj.image.objectdetection.hog.Evaluate
-
- main(String[]) - Static method in class org.openimaj.image.objectdetection.hog.Test
-
- main(String[]) - Static method in class org.openimaj.image.objectdetection.hog.Testing
-
- main(String[]) - Static method in class org.openimaj.image.objectdetection.hog.Training
-
- main(String[]) - Static method in class org.openimaj.image.ocr.SimpleOCR
-
Process the given images (filenames or urls)
- main(String[]) - Static method in class org.openimaj.image.processing.face.detection.benchmarking.FDDBEvaluation
-
- main(String[]) - Static method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
Run the face detector following the conventions of the ocv detector
- main(String[]) - Static method in class org.openimaj.image.typography.general.GeneralFontRenderer
-
Just for testing render quality against AWT
- main(String[]) - Static method in enum org.openimaj.image.typography.hershey.HersheyFont
-
Demonstrate the font engine
- main(String[]) - Static method in class org.openimaj.image.typography.mathml.MathMLFontRenderer
-
- main(String[]) - Static method in class org.openimaj.io.Cache
-
- main(String[]) - Static method in class org.openimaj.math.matrix.algorithm.ica.SymmetricFastICA
-
- main(String[]) - Static method in class org.openimaj.math.matrix.GramSchmidtProcess
-
- main(String[]) - Static method in class org.openimaj.math.model.GaussianVectorNaiveBayesModel
-
Testing
- main(String[]) - Static method in class org.openimaj.math.model.UnivariateGaussianNaiveBayesModel
-
Testing
- main(String[]) - Static method in class org.openimaj.ml.benchmark.CFMatrixMultiplyBenchmark
-
- main(String[]) - Static method in class org.openimaj.ml.benchmark.MatlibMatrixMultiplyBenchmark
-
- main(String[]) - Static method in class org.openimaj.ml.clustering.spectral.WineDatasetExperiment
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.AustrianWordExperiments
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.BilinearLearnerParametersLineSearch
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.BillAustrianDampeningExperiments
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.BillAustrianExperiments
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.BillAustrianExperimentsNormalised
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.BillWordInvestigation
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.LambdaSearchAustrian
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.RegretExperiment
-
- main(String[]) - Static method in class org.openimaj.ml.linear.experiments.sinabill.StreamAustrianDampeningExperiments
-
- main(String[]) - Static method in class org.openimaj.ml.neuralnet.HandWritingNeuralNetENCOG
-
- main(String[]) - Static method in class org.openimaj.ml.neuralnet.HandWritingNeuralNetSANDIA
-
- main(String[]) - Static method in class org.openimaj.ml.neuralnet.OnlineBackpropOneHidden
-
- main(String[]) - Static method in class org.openimaj.picslurper.client.ZMQFailClient
-
- main(String[]) - Static method in class org.openimaj.picslurper.client.ZMQGraphicalClient
-
- main(String[]) - Static method in class org.openimaj.picslurper.client.ZMQPicslurperClient
-
- main(String[]) - Static method in class org.openimaj.picslurper.client.ZMQStreamingPicslurperClusterer
-
- main(String[]) - Static method in class org.openimaj.picslurper.DatabaseStatusFeeder
-
- main(String[]) - Static method in class org.openimaj.picslurper.PicSlurper
-
- main(String[]) - Static method in class org.openimaj.picslurper.PicslurperTwitterHarness
-
Instantiates a
PicSlurper
tool which reads from a stream which
this class constructs.
- main(String[]) - Static method in class org.openimaj.picslurper.StormPicSlurper
-
- main(String[]) - Static method in class org.openimaj.rdf.owl2java.Generator
-
- main(String[]) - Static method in class org.openimaj.storm.StormPlayground
-
- main(String[]) - Static method in class org.openimaj.storm.tools.twitter.StormTwitterPreprocessingTool
-
- main(String[]) - Static method in class org.openimaj.text.nlp.geocode.GeonamesIndexGenerator
-
Command line entry point.
- main(String[]) - Static method in class org.openimaj.text.nlp.language.LanguageDetector
-
prints available languages
- main(String[]) - Static method in class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder
-
Defualt main.
- main(String[]) - Static method in class org.openimaj.text.nlp.namedentity.NGramGenerator
-
lightweight test with some really horrible unicode
- main(String[]) - Static method in class org.openimaj.text.nlp.namedentity.Rationaliser
-
- main(String[]) - Static method in class org.openimaj.text.nlp.namedentity.SeedBuilder
-
- main(String[]) - Static method in class org.openimaj.text.nlp.namedentity.SparqlTransitiveClosure
-
a subclasof test
- main(String[]) - Static method in class org.openimaj.text.nlp.namedentity.YagoCompanyAnnotatorEvaluator
-
- main(String[]) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
lightweight test
- main(String[]) - Static method in class org.openimaj.text.nlp.sentiment.lexicon.TotalLexBuilder
-
Quick tester for class
- main(String[]) - Static method in class org.openimaj.text.nlp.textpipe.annotations.PipePlayground
-
- main(String[]) - Static method in class org.openimaj.tools.cbir.CBIRMain
-
Run the tool
- main(String[]) - Static method in class org.openimaj.tools.cbir.VLADBuilder
-
Main method
- main(String[]) - Static method in class org.openimaj.tools.cbir.VLADIndexerBuilder
-
Main method
- main(String[]) - Static method in class org.openimaj.tools.clusterquantiser.ClusterQuantiser
-
The main method
- main(String[]) - Static method in class org.openimaj.tools.faces.extraction.FaceExtractorTool
-
Default main
- main(String[]) - Static method in class org.openimaj.tools.faces.FaceDetectorTool
-
- main(String[]) - Static method in class org.openimaj.tools.faces.FaceSimilarityTool
-
- main(String[]) - Static method in class org.openimaj.tools.faces.recognition.FaceRecogniserTrainingTool
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.faces.recognition.FaceRecognitionCrossValidatorTool
-
The main method for the tool
- main(String[]) - Static method in class org.openimaj.tools.faces.recognition.FaceRecognitionInfoTool
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.faces.recognition.FaceRecognitionTool
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.globalfeature.CollectionComparisonTool
-
Main method.
- main(String[]) - Static method in class org.openimaj.tools.globalfeature.GlobalFeaturesTool
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.globalfeature.PairWiseComparisonTool
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.globalfeature.ParallelExecutor
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.globalfeature.SegmentingGlobalFeaturesTool
-
The main method for the tool.
- main(String[]) - Static method in class org.openimaj.tools.globalfeature.SegmentingPairWiseComparisonTool
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.imagecollection.tool.ImageCollectionTool
-
- main(String[]) - Static method in class org.openimaj.tools.localfeature.BatchExtractor
-
Run the tool
- main(String[]) - Static method in class org.openimaj.tools.localfeature.Extractor
-
Run the tool
- main(String[]) - Static method in class org.openimaj.tools.localfeature.LocalFeaturesMain
-
Run the tool
- main(String[]) - Static method in class org.openimaj.tools.localfeature.SIFTGeoConverter
-
- main(String[]) - Static method in class org.openimaj.tools.ocr.FontSimulator
-
Simple main that runs a simulation of 5 runs with the text "ABC" or
text supplied on the command line.
- main(String[]) - Static method in class org.openimaj.tools.ocr.KNNCharacterClassifier
-
The main does a training run then a test run.
- main(String[]) - Static method in class org.openimaj.tools.reddit.RedditHarvester
-
- main(String[]) - Static method in class org.openimaj.tools.ReferencesTool
-
The main method.
- main(String[]) - Static method in class org.openimaj.tools.similaritymatrix.SimilarityMatrixTool
-
- main(String[]) - Static method in class org.openimaj.tools.twitter.modes.preprocessing.NERMode
-
Tester for mode.
- main(String[]) - Static method in class org.openimaj.tools.twitter.TwitterPreprocessingTool
-
Run the tool
- main(String[]) - Static method in class org.openimaj.tools.vis.QuantisedSIFTPatchExtractor
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.vis.QuantisedSIFTVisualiser
-
The main method of the tool.
- main(String[]) - Static method in class org.openimaj.tools.web.Dmoz2CSV
-
Main method.
- main(String[]) - Static method in class org.openimaj.tools.web.DmozExtractFeatures
-
Main method.
- main(String[]) - Static method in class org.openimaj.tools.web.LayoutExtractorTool
-
Main method
- main(String[]) - Static method in class org.openimaj.tools.web.Reader
-
Main method.
- main(String[]) - Static method in class org.openimaj.tools.web.WebTools
-
Main method.
- main(String[]) - Static method in class org.openimaj.twitter.experiments.langid.TrueLanguageExperiment
-
- main(String[]) - Static method in class org.openimaj.twitter.GsonPLAY
-
- main(String[]) - Static method in class org.openimaj.video.capture.VideoCapture
-
Test main method.
- main(String[]) - Static method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- main(String[]) - Static method in class org.openimaj.video.tracking.klt.examples.Example1
-
- main(String[]) - Static method in class org.openimaj.video.tracking.klt.examples.Example2
-
- main(String[]) - Static method in class org.openimaj.video.tracking.klt.examples.Example3
-
- main(String[]) - Static method in class org.openimaj.vis.general.AxesRenderer2D
-
- main(String[]) - Static method in class org.openimaj.vis.general.AxisRenderer2D
-
Simple test
- main(String[]) - Static method in class org.openimaj.vis.general.BarVisualisation
-
Shows a basic bar visualisation.
- main(String[]) - Static method in class org.openimaj.vis.general.BarVisualisation3D
-
- main(String[]) - Static method in class org.openimaj.vis.general.BarVisualisationBasic
-
Shows a basic bar visualisation.
- main(String[]) - Static method in class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Test
- main(String[]) - Static method in class org.openimaj.vis.general.DotPlotVisualisation
-
Main method to demonstrate the vis.
- main(String[]) - Static method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- main(String[]) - Static method in class org.openimaj.vis.general.HeightMap3D
-
Example of the height map.
- main(String[]) - Static method in class org.openimaj.vis.general.JOGLWindow
-
Simple test that opens a window, waits 2 seconds, then closes it.
- main(String[]) - Static method in class org.openimaj.vis.general.LabelledPointVisualisation
-
Main method to demonstrate the vis.
- main(String[]) - Static method in class org.openimaj.vis.general.Rectangle3DPlotter
-
- main(String[]) - Static method in class org.openimaj.vis.ternary.SED2013Ternary
-
- main(String[]) - Static method in class org.openimaj.vis.ternary.TernaryPlot
-
- main(String[]) - Static method in class org.openimaj.vis.timeline.Timeline
-
Main method test for the timeline
- main(String[]) - Static method in class org.openimaj.vis.VideoVisualisation
-
Main method
- main(String[]) - Static method in class org.openimaj.vis.world.WorldMap
-
Demonstration method.
- main(String[]) - Static method in class org.openimaj.web.readability.Readability
-
Testing
- main(String[]) - Static method in class org.openimaj.workinprogress.accel.Accel
-
- main(String[]) - Static method in class org.openimaj.workinprogress.accel.MovingEdges
-
- main(String[]) - Static method in class org.openimaj.workinprogress.accel.TestConnected
-
- main(String[]) - Static method in class org.openimaj.workinprogress.accel.VideoSpectrogram
-
- main(String[]) - Static method in class org.openimaj.workinprogress.AdaptiveMoGBackgroundEstimator
-
- main(String[]) - Static method in class org.openimaj.workinprogress.audio.AudioPlay
-
- main(String[]) - Static method in class org.openimaj.workinprogress.audio.AudioTest
-
- main(String[]) - Static method in class org.openimaj.workinprogress.BackgroundEstimator
-
- main(String[]) - Static method in class org.openimaj.workinprogress.BackgroundSubtractor
-
- main(String[]) - Static method in class org.openimaj.workinprogress.Cluster
-
- main(String[]) - Static method in class org.openimaj.workinprogress.EfrosLeungInpainter
-
- main(String[]) - Static method in class org.openimaj.workinprogress.featlearn.cifarexps.KMeansExp1
-
- main(String[]) - Static method in class org.openimaj.workinprogress.featlearn.RandomPatchSampler
-
- main(String[]) - Static method in class org.openimaj.workinprogress.featlearn.Test
-
- main(String[]) - Static method in class org.openimaj.workinprogress.featlearn.Test2
-
- main(String[]) - Static method in class org.openimaj.workinprogress.featlearn.TestImageClass
-
- main(String[]) - Static method in class org.openimaj.workinprogress.GD_SVD
-
- main(String[]) - Static method in class org.openimaj.workinprogress.GD_SVD2
-
- main(String[]) - Static method in class org.openimaj.workinprogress.LOCKY
-
- main(String[]) - Static method in class org.openimaj.workinprogress.optimisation.SGD
-
- main(String[]) - Static method in class org.openimaj.workinprogress.Pendulum
-
- main(String[]) - Static method in class org.openimaj.workinprogress.PendulumNonTextured
-
- main(String[]) - Static method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- main(String[]) - Static method in class org.openimaj.workinprogress.sgdsvm.SvmSgdMain
-
- main(String[]) - Static method in class org.openimaj.workinprogress.SignProgrammer
-
- main(String[]) - Static method in class org.openimaj.workinprogress.Snap
-
- MAIN_CLASS - Static variable in class org.openimaj.aop.classloader.ClassLoaderTransform
-
- mainLoop(long) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Run the browsers main event loop for timeout milliseconds
- mainOptions(String[]) - Static method in class org.openimaj.tools.clusterquantiser.ClusterQuantiser
-
Prepare options
- MajorityVoting - Class in org.openimaj.experiment.evaluation.agreement
-
Majority voting.
- MajorityVoting() - Constructor for class org.openimaj.experiment.evaluation.agreement.MajorityVoting
-
- makeConfiguration(TwitterAPIToken) - Method in class org.openimaj.stream.provider.twitter.AbstractTwitterSearchDataset
-
- makeDisparityMap(MBFImage, MBFImage) - Static method in class org.openimaj.image.analysis.colour.CIEDE2000
-
Compute the disparity map between two images.
- makeDisplayFrame(String, int, int) - Static method in class org.openimaj.image.DisplayUtilities
-
Get a frame that will display an image.
- makeDisplayFrame(String, int, int, BufferedImage) - Static method in class org.openimaj.image.DisplayUtilities
-
Get a frame that will display an image.
- makeDisplayFrame(String, int, int, BufferedImage, Image<?, ?>) - Static method in class org.openimaj.image.DisplayUtilities
-
Get a frame that will display an image.
- makeDisplayFrameSimple(String, int, int, BufferedImage, Image<?, ?>) - Static method in class org.openimaj.image.DisplayUtilities
-
Get a frame that will display an image.
- makeFilter(float, int, int, float, int) - Static method in class org.openimaj.image.processing.convolution.filterbank.LeungMalikFilterBank
-
- makeFilters(int) - Static method in class org.openimaj.image.processing.convolution.filterbank.LeungMalikFilterBank
-
- makeFilters(int) - Static method in class org.openimaj.image.processing.convolution.filterbank.RootFilterSetFilterBank
-
- makeFilters(int) - Static method in class org.openimaj.image.processing.convolution.filterbank.SchmidFilterBank
-
- makeFrame(String) - Static method in class org.openimaj.image.DisplayUtilities
-
Make a frame with the given title.
- makeHistogram(FImage, int) - Static method in class org.openimaj.image.processing.threshold.OtsuThreshold
-
- makeHistogram(float[], int, float, float) - Static method in class org.openimaj.image.processing.threshold.OtsuThreshold
-
- makeKernel(float) - Static method in class org.openimaj.image.processing.convolution.FGaussianConvolve
-
Construct a zero-mean Gaussian with the specified standard deviation.
- makeKernel(float, float) - Static method in class org.openimaj.image.processing.convolution.FGaussianConvolve
-
Construct a zero-mean Gaussian with the specified standard deviation.
- makeKernel(double, double) - Static method in class org.openimaj.ml.timeseries.processor.GaussianTimeSeriesProcessor
-
Construct a zero-mean Gaussian with the specified standard deviation.
- makeKeypoint(QuantisedKeypoint) - Method in class org.openimaj.tools.vis.QuantisedSIFTVisualiser
-
- makeLinear(int, byte...) - Static method in class org.openimaj.content.animation.animator.ByteArrayValueAnimator
-
Construct a new ByteArrayValueAnimator from an array of
values using
LinearByteValueAnimator
s with the
range -max to +max and the given duration.
- makeLinear(int, int, byte, byte) - Static method in class org.openimaj.content.animation.animator.ByteArrayValueAnimator
-
Construct a new ByteArrayValueAnimator from count
LinearByteValueAnimator
s with the given start
and finish values, and the given duration.
- makeLinear(int, double...) - Static method in class org.openimaj.content.animation.animator.DoubleArrayValueAnimator
-
Construct a new DoubleArrayValueAnimator from an array of
values using
LinearDoubleValueAnimator
s with the
range -max to +max and the given duration.
- makeLinear(int, int, double, double) - Static method in class org.openimaj.content.animation.animator.DoubleArrayValueAnimator
-
Construct a new DoubleArrayValueAnimator from count
LinearDoubleValueAnimator
s with the given start
and finish values, and the given duration.
- makeLinear(int, float...) - Static method in class org.openimaj.content.animation.animator.FloatArrayValueAnimator
-
Construct a new FloatArrayValueAnimator from an array of
values using
LinearFloatValueAnimator
s with the
range -max to +max and the given duration.
- makeLinear(int, int, float, float) - Static method in class org.openimaj.content.animation.animator.FloatArrayValueAnimator
-
Construct a new FloatArrayValueAnimator from count
LinearFloatValueAnimator
s with the given start
and finish values, and the given duration.
- makeLinear(int, int...) - Static method in class org.openimaj.content.animation.animator.IntegerArrayValueAnimator
-
Construct a new IntegerArrayValueAnimator from an array of
values using
LinearIntegerValueAnimator
s with the
range -max to +max and the given duration.
- makeLinear(int, int, int, int) - Static method in class org.openimaj.content.animation.animator.IntegerArrayValueAnimator
-
Construct a new IntegerArrayValueAnimator from count
LinearIntegerValueAnimator
s with the given start
and finish values, and the given duration.
- makeLinear(int, long...) - Static method in class org.openimaj.content.animation.animator.LongArrayValueAnimator
-
Construct a new LongArrayValueAnimator from an array of
values using
LinearLongValueAnimator
s with the
range -max to +max and the given duration.
- makeLinear(int, int, long, long) - Static method in class org.openimaj.content.animation.animator.LongArrayValueAnimator
-
Construct a new LongArrayValueAnimator from count
LinearLongValueAnimator
s with the given start
and finish values, and the given duration.
- makeLinear(int, short...) - Static method in class org.openimaj.content.animation.animator.ShortArrayValueAnimator
-
Construct a new ShortArrayValueAnimator from an array of
values using
LinearShortValueAnimator
s with the
range -max to +max and the given duration.
- makeLinear(int, int, short, short) - Static method in class org.openimaj.content.animation.animator.ShortArrayValueAnimator
-
Construct a new ShortArrayValueAnimator from count
LinearShortValueAnimator
s with the given start
and finish values, and the given duration.
- makeNextValue() - Method in class org.openimaj.content.animation.animator.AbstractValueAnimator
-
- makeNextValue() - Method in class org.openimaj.content.animation.animator.LinearByteValueAnimator
-
- makeNextValue() - Method in class org.openimaj.content.animation.animator.LinearDoubleValueAnimator
-
- makeNextValue() - Method in class org.openimaj.content.animation.animator.LinearFloatValueAnimator
-
- makeNextValue() - Method in class org.openimaj.content.animation.animator.LinearIntegerValueAnimator
-
- makeNextValue() - Method in class org.openimaj.content.animation.animator.LinearLongValueAnimator
-
- makeNextValue() - Method in class org.openimaj.content.animation.animator.LinearShortValueAnimator
-
- makeRandomLinear(int, byte...) - Static method in class org.openimaj.content.animation.animator.ByteArrayValueAnimator
-
Construct a new ByteArrayValueAnimator from an array of
values using
RandomLinearByteValueAnimator
s with the
range -max to +max and the given duration.
- makeRandomLinear(int, int, byte, byte) - Static method in class org.openimaj.content.animation.animator.ByteArrayValueAnimator
-
- makeRandomLinear(int, double...) - Static method in class org.openimaj.content.animation.animator.DoubleArrayValueAnimator
-
Construct a new DoubleArrayValueAnimator from an array of
values using
RandomLinearDoubleValueAnimator
s with the
range -max to +max and the given duration.
- makeRandomLinear(int, int, double, double) - Static method in class org.openimaj.content.animation.animator.DoubleArrayValueAnimator
-
- makeRandomLinear(int, float...) - Static method in class org.openimaj.content.animation.animator.FloatArrayValueAnimator
-
Construct a new FloatArrayValueAnimator from an array of
values using
RandomLinearFloatValueAnimator
s with the
range -max to +max and the given duration.
- makeRandomLinear(int, int, float, float) - Static method in class org.openimaj.content.animation.animator.FloatArrayValueAnimator
-
- makeRandomLinear(int, int...) - Static method in class org.openimaj.content.animation.animator.IntegerArrayValueAnimator
-
- makeRandomLinear(int, int, int, int) - Static method in class org.openimaj.content.animation.animator.IntegerArrayValueAnimator
-
- makeRandomLinear(int, long...) - Static method in class org.openimaj.content.animation.animator.LongArrayValueAnimator
-
Construct a new LongArrayValueAnimator from an array of
values using
RandomLinearLongValueAnimator
s with the
range -max to +max and the given duration.
- makeRandomLinear(int, int, long, long) - Static method in class org.openimaj.content.animation.animator.LongArrayValueAnimator
-
- makeRandomLinear(int, short...) - Static method in class org.openimaj.content.animation.animator.ShortArrayValueAnimator
-
Construct a new ShortArrayValueAnimator from an array of
values using
RandomLinearShortValueAnimator
s with the
range -max to +max and the given duration.
- makeRandomLinear(int, int, short, short) - Static method in class org.openimaj.content.animation.animator.ShortArrayValueAnimator
-
- makeReference(BibTeXEntry) - Static method in class org.openimaj.citation.annotation.mock.MockReference
-
- makeRuns(int, FontSimulator.FontSimListener<I>, I) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Make a number of runs of creating text renders
- makeSet(T) - Method in class org.openimaj.util.set.DisjointSetForest
-
Make a new subset from the given item
- makeTransform(Rectangle, Rectangle) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Create a transform to transform from one rectangle to another.
- makeValues(int, int) - Method in class ch.akuhn.matrix.DenseMatrix
-
- makeValues(int, int) - Method in class ch.akuhn.matrix.SymmetricMatrix
-
- mantissa - Variable in class org.openimaj.math.util.MathUtils.ExponentAndMantissa
-
The mantissa
- map - Variable in class org.openimaj.data.dataset.MapBackedDataset
-
- map(LongWritable, Text, Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.downloader.DownloadMapper
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIF.HadoopEXIFMapper
-
- Map() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Map
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Map
-
- Map() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.FeatureCount.Map
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, Text, IntWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureCount.Map
-
- Map() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect.Map
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect.Map
-
- Map() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect.Map
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect.Map
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, HadoopSiftLSHExtractor.MapperOut, Text>.Context) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.LSHMapper
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, Text, Text>.Context) - Method in class org.openimaj.hadoop.tools.sequencefile.index.RecordIndexMapper
-
- map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.DateTwitterPreprocessingMapper
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.HadoopCounterTest.CounterMapper
-
- map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.HadoopLZOTest.CounterMapper
-
- map(LongWritable, Text, Mapper<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.SimpleTwitterPreprocessingMapper
-
- Map() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.Map
-
Mapper don't care, mapper don't give a fuck
- map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.Map
-
- Map() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.Map
-
Mapper constructor doesn't do anything (Mapper constructor doesn't
give a fuck)
- map(LongWritable, BytesWritable, Mapper<LongWritable, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.Map
-
- map(LongWritable, Text, Mapper<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexMapper
-
- map(LongWritable, Text, Mapper<LongWritable, Text, BytesWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmit
-
- map(BytesWritable, BytesWritable, Mapper<BytesWritable, BytesWritable, BytesWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortMapper
-
- map(LongWritable, Text, Mapper<LongWritable, Text, DoubleWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.PValueWordMapper
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordTimeperiodValueMapper
-
for each word, read its time period and quantised to a finance time period
emit for each word a quantised time period, the data needed to calculate DF-IDF at that time and the value from finance
- map(Text, BytesWritable, Mapper<Text, BytesWritable, BytesWritable, BooleanWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord.IntersectionUnionMap
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, LongWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.TimeWordMapper
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.MapValuesByTime
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.MapValuesByWord
-
- Map() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.TimeIndex.Map
-
- map(LongWritable, BytesWritable, Mapper<LongWritable, BytesWritable, LongWritable, LongWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.TimeIndex.Map
-
- Map() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex.Map
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, Text, LongWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex.Map
-
- map(Text, BytesWritable, Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.SpecificWordSelectionMapper
-
- map(LongWritable, Text, Mapper<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.TwitterPreprocessingMapper
-
- map - Variable in class org.openimaj.image.saliency.AchantaSaliency
-
- map - Variable in class org.openimaj.image.saliency.YehSaliency
-
- map(Function<T, R>) - Method in class org.openimaj.util.stream.AbstractStream
-
- map(MultiFunction<T, R>) - Method in class org.openimaj.util.stream.AbstractStream
-
- map(Function<T, R>) - Method in interface org.openimaj.util.stream.Stream
-
Transform the stream by creating a new stream that transforms the items
in this stream with the given
Function
.
- map(MultiFunction<T, R>) - Method in interface org.openimaj.util.stream.Stream
-
Transform the stream by creating a new stream that transforms the items
in this stream with the given
Function
.
- MapBackedDataset<KEY,DATASET extends Dataset<INSTANCE>,INSTANCE> - Class in org.openimaj.data.dataset
-
- MapBackedDataset() - Constructor for class org.openimaj.data.dataset.MapBackedDataset
-
- MapBackedDataset(Map<KEY, DATASET>) - Constructor for class org.openimaj.data.dataset.MapBackedDataset
-
Construct with the given map.
- MapBackedDataset.IdentifiableBuilder<DATASET extends Dataset<INSTANCE> & Identifiable,INSTANCE> - Class in org.openimaj.data.dataset
-
- MapBackedMetaIndex<DATA,METADATA extends Identifiable> - Class in org.openimaj.image.searching
-
- MapBackedMetaIndex(FeatureExtractor<METADATA, DATA>) - Constructor for class org.openimaj.image.searching.MapBackedMetaIndex
-
- MapGetter - Class in org.kohsuke.args4j.spi
-
A getter for map objects
- MapGetter(String, Object, Field) - Constructor for class org.kohsuke.args4j.spi.MapGetter
-
- mapItem(String, ImageCollectionEntry<?>) - Method in class org.openimaj.tools.imagecollection.metamapper.ConsoleMetaMapper
-
- mapItem(String, ImageCollectionEntry<?>) - Method in class org.openimaj.tools.imagecollection.metamapper.FileMetaMapper
-
- mapItem(String, ImageCollectionEntry<?>) - Method in class org.openimaj.tools.imagecollection.metamapper.MetaMapper
-
- mappedInterestPoints - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
The detected interest points, grouped by simulation
- mapper() - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
- mapper() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexStage
-
- mapper() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
- mapper() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
- mapper() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordSort
-
- mapper() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordTimeSeries
-
- mapper() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.TimeWordJacardIndex
-
- mapper(ImageCollectionProcessor<MBFImage>) - Method in enum org.openimaj.tools.imagecollection.collection.config.MetaMapperMode
-
- mapper() - Method in enum org.openimaj.tools.imagecollection.MetaMapperMode
-
- mapperModeOp - Variable in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- MapperOut() - Constructor for class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.MapperOut
-
- mapping(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.DoubleArrayKernelPerceptron
-
- MappingNode(String, String) - Constructor for class org.openimaj.web.readability.Readability.MappingNode
-
- MapValuesByTime - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
Emits each word with the total number of times the word was seen
- MapValuesByTime() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.MapValuesByTime
-
construct the map instance (do nothing)
- MapValuesByWord - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
Emits each word with the total number of times the word was seen
- MapValuesByWord() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.MapValuesByWord
-
construct the map instance (do nothing)
- MarginMeanCenteredPerceptron - Class in org.openimaj.ml.linear.learner.perceptron
-
- MarginMeanCenteredPerceptron(VectorKernel, double) - Constructor for class org.openimaj.ml.linear.learner.perceptron.MarginMeanCenteredPerceptron
-
- MarginMeanCenteredPerceptron(VectorKernel) - Constructor for class org.openimaj.ml.linear.learner.perceptron.MarginMeanCenteredPerceptron
-
- MarkovChainLanguageModel - Class in org.openimaj.text.nlp.language
-
Code to train, classify and generate language specific text by building a
first order Markov chain.
- MarkovChainLanguageModel() - Constructor for class org.openimaj.text.nlp.language.MarkovChainLanguageModel
-
Generate a new empty markov chain language model
- mask - Variable in class org.openimaj.image.mask.AbstractMaskedObject
-
- mask - Variable in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- mask - Variable in class org.openimaj.image.processing.restoration.inpainting.AbstractImageMaskInpainter
-
The mask image
- MaskedObject<M extends Image<?,M>> - Interface in org.openimaj.image.mask
-
An interface for objects with an image mask.
- MaskedRobustContrastEqualisation - Class in org.openimaj.image.processing.algorithm
-
An image processor that performs contrast equalisation
in a robust manner with a mask.
- MaskedRobustContrastEqualisation() - Constructor for class org.openimaj.image.processing.algorithm.MaskedRobustContrastEqualisation
-
Construct with no mask set
- MaskedRobustContrastEqualisation(FImage) - Constructor for class org.openimaj.image.processing.algorithm.MaskedRobustContrastEqualisation
-
Construct with a mask.
- MaskingBlockHistogramModel - Class in org.openimaj.image.pixel.statistics
-
An array of multidimensional histograms calculated from image pixels using a mask
(assumes image is in 0-1 range)
- MaskingBlockHistogramModel(FImage, int, int, int...) - Constructor for class org.openimaj.image.pixel.statistics.MaskingBlockHistogramModel
-
Construct with the given parameters
- MaskingHistogramModel - Class in org.openimaj.image.pixel.statistics
-
A multidimensional histogram calculated from image pixels selected through a mask
(assumes image is in 0-1 range)
- MaskingHistogramModel(FImage, int...) - Constructor for class org.openimaj.image.pixel.statistics.MaskingHistogramModel
-
Construct with the given parameters
- match(List<? extends DetectedFace>, List<? extends DetectedFace>) - Method in class org.openimaj.image.processing.face.detection.benchmarking.Matcher
-
- Match(DetectedFace, DetectedFace, double) - Constructor for class org.openimaj.image.processing.face.detection.benchmarking.Matcher.Match
-
- match(int, int) - Method in class org.openimaj.math.combinatorics.optimisation.HungarianAlgorithm
-
Helper method to record a matching between worker w and job j.
- match(String, String) - Method in class org.openimaj.web.readability.Readability
-
Javascript-like String.match
- matcher - Variable in class com.jsaragih.Patch
-
- Matcher - Class in org.openimaj.image.processing.face.detection.benchmarking
-
- Matcher() - Constructor for class org.openimaj.image.processing.face.detection.benchmarking.Matcher
-
- Matcher.Match - Class in org.openimaj.image.processing.face.detection.benchmarking
-
- matches - Variable in class org.openimaj.feature.local.matcher.BasicMatcher
-
- matches - Variable in class org.openimaj.feature.local.matcher.BasicTwoWayMatcher
-
- matches - Variable in class org.openimaj.feature.local.matcher.FastEuclideanKeypointMatcher
-
- matches - Variable in class org.openimaj.feature.local.matcher.MultipleMatchesMatcher
-
- matches - Variable in class org.openimaj.feature.local.matcher.quantised.BasicQuantisedKeypointMatcher
-
- matches(Pixel, Set<Pixel>) - Method in class org.openimaj.image.processing.morphology.StructuringElement
-
Determine if this structuring element is completely contained in the
pixels centered at p.
- matches(String) - Method in class org.openimaj.tools.twitter.modes.filter.JavaRegexEngine
-
- matches(String) - Method in interface org.openimaj.tools.twitter.modes.filter.RegexEngine
-
- matchesSafely(Collection<T>) - Method in class org.openimaj.hadoop.tools.twitter.NotEmptyCollection
-
- matchExact(List<String>, List<String>) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityExactMatcherFactory.YagoEntityExactMatcher
-
Returns a list of most likely unique Named Entities.
- matchExact(List<TokenAnnotation>, String) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityExactMatcherFactory.YagoEntityExactMatcher
-
- MatchingUtilities - Class in org.openimaj.feature.local.matcher
-
Drawing utility useful for drawing two images and the matches between their feature points
- MatchingUtilities() - Constructor for class org.openimaj.feature.local.matcher.MatchingUtilities
-
- MathMLFont - Class in org.openimaj.image.typography.mathml
-
- MathMLFont() - Constructor for class org.openimaj.image.typography.mathml.MathMLFont
-
- MathMLFontRenderer<T> - Class in org.openimaj.image.typography.mathml
-
- MathMLFontRenderer() - Constructor for class org.openimaj.image.typography.mathml.MathMLFontRenderer
-
- MathMLFontStyle<T> - Class in org.openimaj.image.typography.mathml
-
- MathMLFontStyle(MathMLFont, T) - Constructor for class org.openimaj.image.typography.mathml.MathMLFontStyle
-
- MathUtils - Class in org.openimaj.math.util
-
A collection of maths functions not available anywhere else ive seen
- MathUtils() - Constructor for class org.openimaj.math.util.MathUtils
-
- MathUtils.ExponentAndMantissa - Class in org.openimaj.math.util
-
Class to hold an exponent and mantissa
- MATLAB_DATA() - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- MATLAB_DATA(String) - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- MATLAB_OUT - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.Values
-
- MatlabFileDataGenerator - Class in org.openimaj.ml.linear.data
-
- MatlabFileDataGenerator(File) - Constructor for class org.openimaj.ml.linear.data.MatlabFileDataGenerator
-
- MatlabFileInitStrat - Class in org.openimaj.ml.linear.learner.init
-
Given a matlab file, return its matrix held in the "arr" field as the initialisation matrix
- MatlabFileInitStrat(File) - Constructor for class org.openimaj.ml.linear.learner.init.MatlabFileInitStrat
-
- MatlabIO - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.matlabio
-
- MatlabIO() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.matlabio.MatlabIO
-
- MatlibBilinearSparseOnlineLearner - Class in org.openimaj.ml.linear.learner.matlib
-
An implementation of a stochastic gradient decent with proximal perameter adjustment
(for regularised parameters).
- MatlibBilinearSparseOnlineLearner() - Constructor for class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
The default parameters.
- MatlibBilinearSparseOnlineLearner(BilinearLearnerParameters) - Constructor for class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- MatlibMatrixMultiplyBenchmark - Class in org.openimaj.ml.benchmark
-
- MatlibMatrixMultiplyBenchmark() - Constructor for class org.openimaj.ml.benchmark.MatlibMatrixMultiplyBenchmark
-
- MatlibMatrixUtils - Class in org.openimaj.math.matrix
-
Some helpful operations on
Matrix
instances from Adrian Kuhn's
library.
- MatlibMatrixUtils() - Constructor for class org.openimaj.math.matrix.MatlibMatrixUtils
-
- MatLossFunction - Class in org.openimaj.ml.linear.learner.loss
-
- MatLossFunction(LossFunction) - Constructor for class org.openimaj.ml.linear.learner.loss.MatLossFunction
-
- MatLossFunction - Class in org.openimaj.ml.linear.learner.matlib.loss
-
- MatLossFunction(LossFunction) - Constructor for class org.openimaj.ml.linear.learner.matlib.loss.MatLossFunction
-
- matrices - Variable in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
- Matrix - Class in ch.akuhn.matrix
-
Two-dimensional table of floating point numbers.
- Matrix() - Constructor for class ch.akuhn.matrix.Matrix
-
- matrix - Variable in class org.openimaj.math.matrix.JamaDenseMatrix
-
The underlying matrix
- MatrixDataGenerator<T extends gov.sandia.cognition.math.matrix.Matrix> - Interface in org.openimaj.ml.linear.data
-
Generates instances of some system of the form:
Y = f(X)
- MatrixDecomposition - Interface in org.openimaj.workinprogress
-
- matrixFromFloat(float[][]) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Construct a matrix from a 2D float array of data.
- MatrixTransformProvider - Interface in org.openimaj.math.geometry.transforms
-
Interface for classes implementing a model of a matrix transformation.
- MatrixUtils - Class in org.openimaj.math.matrix
-
Miscellaneous matrix operations.
- MatSquareLossFunction - Class in org.openimaj.ml.linear.learner.loss
-
- MatSquareLossFunction() - Constructor for class org.openimaj.ml.linear.learner.loss.MatSquareLossFunction
-
- MatSquareLossFunction - Class in org.openimaj.ml.linear.learner.matlib.loss
-
- MatSquareLossFunction() - Constructor for class org.openimaj.ml.linear.learner.matlib.loss.MatSquareLossFunction
-
- MatteGenerator - Class in org.openimaj.image.processing.mask
-
Generator for grayscale mattes.
- MatteGenerator() - Constructor for class org.openimaj.image.processing.mask.MatteGenerator
-
- MatteGenerator.MatteType - Enum in org.openimaj.image.processing.mask
-
An enumerator for various matte algorithms.
- mavenArtifactId - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
The artifact identifier for the maven project, if -maven is used
- mavenParent - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
If a mavenParent is to be added to the pom.xml, the GAV is put here
- mavenProject - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
Whether to create a pom.xml file for the output files
- mavenVersionNumber - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
The version number for the maven project, if -maven is used
- max() - Method in class ch.akuhn.matrix.Matrix
-
- max(double[], double) - Static method in class ch.akuhn.matrix.Util
-
Max
- max(double[][], double) - Static method in class ch.akuhn.matrix.Util
-
Max
- max - Variable in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- max() - Method in class org.openimaj.image.FImage
-
Find the maximum pixel value.
- max() - Method in class org.openimaj.image.Image
-
Find the maximum pixel value.
- max - Variable in class org.openimaj.image.model.pixel.OrthotopePixelModel
-
- max() - Method in class org.openimaj.image.MultiBandImage
-
Find the maximum pixel value.
- max - Variable in class org.openimaj.image.processing.algorithm.MinMaxAnalyser
-
- max() - Method in class org.openimaj.image.SVGImage
-
- max(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Get the maximum element value
- max(Vector) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Get the maximum element value
- max(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- max() - Method in class org.openimaj.math.statistics.distribution.Histogram
-
Compute the maximum value in the histogram
- max() - Method in class org.openimaj.math.statistics.distribution.MultidimensionalHistogram
-
Compute the maximum value in the histogram
- max - Variable in class org.openimaj.ml.annotation.basic.util.RandomChooser
-
- max_rating - Variable in class org.openimaj.twitter.USMFStatus
-
Maximum "rating" of content
- MAX_VALUE - Static variable in enum org.openimaj.hardware.gps.NMEASentenceType
-
- maxAbsDiag(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Get the maximum absolute value of the diagonal.
- maxAlpha - Static variable in class org.openimaj.image.neardups.sim.WatermarkSimulation
-
- maxAngle() - Method in enum org.openimaj.image.processing.convolution.FImageGradients.Mode
-
Get the maximum angular value (in radians) computed by this mode.
- maxAspectRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum allowed aspect ratio for a single letter
- maxAxisRatio - Variable in class org.openimaj.image.feature.local.detector.ipd.finder.CharacteristicOctaveInterestPointFinder
-
The maximum axis ratio difference before two keypoints are considered
similar
- maxBounds - Variable in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
The maximum bounds of this node
- maxBounds - Variable in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
The maximum bounds of this node
- maxBounds - Variable in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
The maximum bounds of this node
- maxBounds - Variable in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
The maximum bounds of this node
- maxBounds - Variable in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
The maximum bounds of this node
- maxBounds - Variable in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
The maximum bounds of this node
- maxc - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- maxCardinality - Variable in class org.openimaj.rdf.owl2java.PropertyDef
-
The maximum number of occurrences of this property allowed
- maxCompression - Variable in class org.openimaj.image.neardups.sim.CompressSimulation
-
- maxDiameterStrokeRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum allowed ratio of diameter to stroke width for a single
character.
- maxDistance - Variable in class org.openimaj.image.feature.local.detector.ipd.finder.CharacteristicOctaveInterestPointFinder
-
The maximum distance before two keypoints are considered "similar"
- maxEpochs - Variable in class org.openimaj.workinprogress.optimisation.SGD
-
- MaxFilter - Class in org.openimaj.image.processing.algorithm
-
Max filter; replaces each pixel with the maximum of its neighbours.
- MaxFilter(Set<Pixel>) - Constructor for class org.openimaj.image.processing.algorithm.MaxFilter
-
Construct with the given support region for selecting pixels to take the
median from.
- maxHeight - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum character height
- MaxHistogramExtractor - Class in org.openimaj.tools.globalfeature.type
-
- MaxHistogramExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.MaxHistogramExtractor
-
Default constructor
- maxima - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- Maxima(int, int, float) - Constructor for class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD.Maxima
-
- maxIndex(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the biggest value in the array.
- maxIndex(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the biggest value in the array.
- maxIndex(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the biggest value in the array.
- maxIndex(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the biggest value in the array.
- maxIndex(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the biggest value in the array.
- maxIndex(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the biggest value in the array.
- maxIndex() - Method in class org.openimaj.util.array.SparseByteArray
-
- maxIndex() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- maxIndex() - Method in class org.openimaj.util.array.SparseFloatArray
-
- maxIndex() - Method in class org.openimaj.util.array.SparseIntArray
-
- maxIndex() - Method in class org.openimaj.util.array.SparseLongArray
-
- maxIndex() - Method in class org.openimaj.util.array.SparseShortArray
-
- maxInplace(SparseMatrix, SparseMatrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- maxIter - Variable in class org.openimaj.math.geometry.shape.PointDistributionModel
-
- MaxIterations - Class in org.openimaj.algorithm.iterative
-
Predicate for stopping iteration after a set maximum number of iterations.
- MaxIterations(int) - Constructor for class org.openimaj.algorithm.iterative.MaxIterations
-
Construct with the given maximum number of iterations
- maxIters - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
- maxKernelSize - Variable in class org.openimaj.image.saliency.DepthOfFieldEstimator
-
- maxNumOverlappingBoxes - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum allowed number of overlapping characters
- MAXP_KEY - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordSort
-
- maxPixel() - Method in class org.openimaj.image.FImage
-
Get the pixel with the maximum value.
- maxr - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- maxRad - Variable in class org.openimaj.image.analysis.algorithm.HoughCircles
-
- maxRotation - Variable in class org.openimaj.image.feature.local.detector.ipd.finder.CharacteristicOctaveInterestPointFinder
-
The maximum rotation difference before two keypoints are considered
"similar"
- maxScaleFactor - Variable in class org.openimaj.image.neardups.sim.ArbitaryStretchSimulation
-
- maxScaleFactor - Static variable in class org.openimaj.image.neardups.sim.UniformScaleSimulation
-
- maxSize - Variable in class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
- maxSize - Variable in class org.openimaj.util.set.BoundedTreeSet
-
- MaxSizeFilter<T extends Shape> - Class in org.openimaj.image.objectdetection.filtering
-
Filter to select the biggest detection.
- MaxSizeFilter() - Constructor for class org.openimaj.image.objectdetection.filtering.MaxSizeFilter
-
- maxStrokeWidth - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum allowed stroke width
- maxValue(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the largest value in the array.
- maxValue(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the largest value in the array.
- maxValue(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the largest value in the array.
- maxValue(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the largest value in the array.
- maxValue(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the largest value in the array.
- maxValue(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the largest value in the array.
- maxValue() - Method in class org.openimaj.util.array.SparseByteArray
-
- maxValue() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- maxValue() - Method in class org.openimaj.util.array.SparseFloatArray
-
- maxValue() - Method in class org.openimaj.util.array.SparseIntArray
-
- maxValue() - Method in class org.openimaj.util.array.SparseLongArray
-
- maxValue() - Method in class org.openimaj.util.array.SparseShortArray
-
- maxX() - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
- maxX() - Method in class org.openimaj.math.geometry.line.Line2d
-
- maxX() - Method in class org.openimaj.math.geometry.point.PointList
-
- maxX() - Method in class org.openimaj.math.geometry.shape.Circle
-
- maxX() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- maxX() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- maxX() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- maxX() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- maxY() - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
- maxY() - Method in class org.openimaj.math.geometry.line.Line2d
-
- maxY() - Method in class org.openimaj.math.geometry.point.PointList
-
- maxY() - Method in class org.openimaj.math.geometry.shape.Circle
-
- maxY() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- maxY() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- maxY() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- maxY() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- mbfImage - Variable in class org.openimaj.content.slideshow.PictureSlide
-
- MBFImage - Class in org.openimaj.image
-
A multiband floating-point image.
- MBFImage() - Constructor for class org.openimaj.image.MBFImage
-
Construct an empty MBFImage with a the default RGB colourspace
- MBFImage(ColourSpace, FImage...) - Constructor for class org.openimaj.image.MBFImage
-
Construct an MBFImage from single band images.
- MBFImage(FImage...) - Constructor for class org.openimaj.image.MBFImage
-
Construct an MBFImage from single band images with the default RGB
colourspace if there are three images, RGBA if there are 4 images, or
CUSTOM otherwise.
- MBFImage(int, int) - Constructor for class org.openimaj.image.MBFImage
-
Construct an empty RGB image (3 bands)
- MBFImage(int, int, ColourSpace) - Constructor for class org.openimaj.image.MBFImage
-
Construct an empty image
- MBFImage(int, int, int) - Constructor for class org.openimaj.image.MBFImage
-
Construct an empty image.
- MBFImage(int[], int, int) - Constructor for class org.openimaj.image.MBFImage
-
Create an image from a BufferedImage object.
- MBFImage(int[], int, int, boolean) - Constructor for class org.openimaj.image.MBFImage
-
Create an image from a int[] object.
- MBFImage(double[], int, int, int, boolean) - Constructor for class org.openimaj.image.MBFImage
-
Create an MBFImage from an array of double values with the given width
and height.
- MBFIMAGE_EXTRACTOR - Static variable in class org.openimaj.stream.functions.ImageFromURL
-
- MBFIMAGE_READER - Static variable in class org.openimaj.image.annotation.evaluation.datasets.CIFARDataset
-
Reader for getting the data as
MBFImage
s
- MBFIMAGE_READER - Static variable in class org.openimaj.image.ImageUtilities
-
- MBFImageConverter(IPixelFormat.Type, int, int, int, int) - Constructor for class org.openimaj.video.xuggle.XuggleVideo.MBFImageConverter
-
- MBFImageFileBackedVideo - Class in org.openimaj.video
-
A video backed by a image files on disk.
- MBFImageFileBackedVideo(List<File>) - Constructor for class org.openimaj.video.MBFImageFileBackedVideo
-
Construct the video from the provided files.
- MBFImageFileBackedVideo(List<File>, double) - Constructor for class org.openimaj.video.MBFImageFileBackedVideo
-
Construct the video from the provided files.
- MBFImageFileBackedVideo(String, int, int) - Constructor for class org.openimaj.video.MBFImageFileBackedVideo
-
Construct videos from numbered files using the given format string and
indices.
- MBFImageOptionHandler - Class in org.kohsuke.args4j
-
An
OptionHandler
that can provide a
MBFImage
from
a file name.
- MBFImageOptionHandler(CmdLineParser, OptionDef, Setter<? super MBFImage>) - Constructor for class org.kohsuke.args4j.MBFImageOptionHandler
-
Default constructor.
- MBFImageReader - Class in org.openimaj.image.annotation.evaluation.datasets.cifar
-
- MBFImageReader(int, int) - Constructor for class org.openimaj.image.annotation.evaluation.datasets.cifar.MBFImageReader
-
Construct with the given image height and width.
- MBFImageRenderer - Class in org.openimaj.image.renderer
-
- MBFImageRenderer(MBFImage) - Constructor for class org.openimaj.image.renderer.MBFImageRenderer
-
Construct with given target image.
- MBFImageRenderer(MBFImage, RenderHints) - Constructor for class org.openimaj.image.renderer.MBFImageRenderer
-
Construct with given target image and rendering hints.
- MBFImageToFImageVideoTranslator - Class in org.openimaj.video.translator
-
Converts an MBFImage video into an FImage video using intensity.
- MBFImageToFImageVideoTranslator(Video<MBFImage>) - Constructor for class org.openimaj.video.translator.MBFImageToFImageVideoTranslator
-
Construct using the input video.
- MBFImageWrapper(MBFImage) - Constructor for class org.openimaj.video.xuggle.XuggleVideo.MBFImageWrapper
-
- MBFMeanVarianceField - Class in org.openimaj.video.processing.pixels
-
Compute the mean and variance fields from a video of
MBFImage
frames.
- MBFMeanVarianceField() - Constructor for class org.openimaj.video.processing.pixels.MBFMeanVarianceField
-
- MBFPatchClassificationModel - Class in org.openimaj.image.model.patch
-
- MBFPatchClassificationModel(int, int, int) - Constructor for class org.openimaj.image.model.patch.MBFPatchClassificationModel
-
Construct the model with the specified dimensionality and patch size.
- MBFPixelClassificationModel - Class in org.openimaj.image.model.pixel
-
An abstract PixelClassificationModel for
MBFImage
s.
- MBFPixelClassificationModel(int) - Constructor for class org.openimaj.image.model.pixel.MBFPixelClassificationModel
-
Construct the model with the specified dimensionality.
- MBFProjectionProcessor - Class in org.openimaj.image.processing.transform
-
- MBFProjectionProcessor() - Constructor for class org.openimaj.image.processing.transform.MBFProjectionProcessor
-
- MBFStatisticalPixelProfileModel - Class in org.openimaj.image.pixel.statistics
-
- MBFStatisticalPixelProfileModel(int, FLineSampler) - Constructor for class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- md5sum(FileSystem, Path) - Static method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
Get the MD5 sum of a file
- MD5UUIDKeyProvider() - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility.MD5UUIDKeyProvider
-
- MDS - Class in org.openimaj.tools.similaritymatrix.modes
-
- MDS() - Constructor for class org.openimaj.tools.similaritymatrix.modes.MDS
-
- mean() - Method in class ch.akuhn.matrix.Matrix
-
- mean() - Method in class ch.akuhn.matrix.Vector
-
- mean - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
-
The mean pixel value
- mean - Variable in class org.openimaj.math.geometry.shape.PointDistributionModel
-
- mean - Variable in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
- mean - Variable in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
- mean(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- mean - Variable in class org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian
-
The mean vector
- mean - Variable in class org.openimaj.math.statistics.MeanAndCovariance
-
The mean vector (1xN)
- mean(double[]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Find the mean of a single dimensional double array.
- mean(double[][]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the mean of a two dimensional double array.
- mean(float[]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Find the mean of a single dimensional float array.
- mean(float[][]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the mean of a two dimensional float array.
- mean() - Method in class org.openimaj.math.util.RunningStat
-
Returns the running mean.
- MEAN() - Constructor for class org.openimaj.ml.clustering.kdtree.SplitDetectionMode.MEAN
-
- MeanAndCovariance - Class in org.openimaj.math.statistics
-
Class to compute the mean and covariance of some given data.
- MeanAndCovariance(float[][]) - Constructor for class org.openimaj.math.statistics.MeanAndCovariance
-
Construct a new
MeanAndCovariance
containing the mean vector and
covariance matrix of the given data (each row is a data point)
- MeanAndCovariance(double[][]) - Constructor for class org.openimaj.math.statistics.MeanAndCovariance
-
Construct a new
MeanAndCovariance
containing the mean vector and
covariance matrix of the given data (each row is a data point)
- MeanAndCovariance(Matrix) - Constructor for class org.openimaj.math.statistics.MeanAndCovariance
-
Construct a new
MeanAndCovariance
containing the mean vector and
covariance matrix of the given data (each row is a data point)
- meanAveragePrecision() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- meanBaselineMetric() - Method in class org.lemurproject.ireval.SetRetrievalComparator
-
- meanBinaryPreference() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- MeanCenter - Class in org.openimaj.image.processing.algorithm
-
An
ImageProcessor
that computes the mean of the image's pixels
and subtracts the mean from all pixels.
- MeanCenter() - Constructor for class org.openimaj.image.processing.algorithm.MeanCenter
-
- MeanCenteredKernelPerceptron - Class in org.openimaj.ml.linear.learner.perceptron
-
- MeanCenteredKernelPerceptron(VectorKernel) - Constructor for class org.openimaj.ml.linear.learner.perceptron.MeanCenteredKernelPerceptron
-
- MeanCenteredProjectron - Class in org.openimaj.ml.linear.learner.perceptron
-
- MeanCenteredProjectron(VectorKernel) - Constructor for class org.openimaj.ml.linear.learner.perceptron.MeanCenteredProjectron
-
- MeanCenteredProjectron(VectorKernel, double) - Constructor for class org.openimaj.ml.linear.learner.perceptron.MeanCenteredProjectron
-
- meanNormalizedDiscountedCumulativeGain() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- meanNormalizedDiscountedCumulativeGain(int) - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- meanPrecision(int) - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- meanReciprocalRank() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- meanRPrecision() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- MeanSquaredDifferenceAggregator - Class in org.openimaj.ml.timeseries.aggregator
-
- MeanSquaredDifferenceAggregator() - Constructor for class org.openimaj.ml.timeseries.aggregator.MeanSquaredDifferenceAggregator
-
- MeanSumLossEvaluator - Class in org.openimaj.ml.linear.evaluation
-
- MeanSumLossEvaluator() - Constructor for class org.openimaj.ml.linear.evaluation.MeanSumLossEvaluator
-
- meanTreatmentMetric() - Method in class org.lemurproject.ireval.SetRetrievalComparator
-
- MeanVector - Class in org.openimaj.math.matrix
-
holds an updatable mean vector
- MeanVector() - Constructor for class org.openimaj.math.matrix.MeanVector
-
- MeasuresBeatsTicksTimecode - Class in org.openimaj.audio.timecode
-
A standard MIDI-timecode that uses measures, beats and ticks.
- MeasuresBeatsTicksTimecode(float) - Constructor for class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Sets up a 4-time, 120 tick MBT timecode.
- MeasuresBeatsTicksTimecode(float, long, int, int) - Constructor for class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Create a specific timecode.
- MeasuresBeatsTicksTimecode(float, long, int, int, int) - Constructor for class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Create a specific timecode in a different time signature.
- median - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
-
The median of pixel values
- median(double[]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the median of the given array.
- median(double[], int, int) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the median of the given sub-array.
- median(float[]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the median of the given array.
- median(float[], int, int) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the median of the given sub-array.
- MEDIAN() - Constructor for class org.openimaj.ml.clustering.kdtree.SplitDetectionMode.MEDIAN
-
- MedianFilter - Class in org.openimaj.image.processing.algorithm
-
Median filter; replaces each pixel with the median of its neighbours.
- MedianFilter(Set<Pixel>) - Constructor for class org.openimaj.image.processing.algorithm.MedianFilter
-
Construct with the given support region for selecting pixels to take the
median from.
- medianStrokeWidth - Variable in class org.openimaj.image.text.extraction.swt.LetterCandidate
-
- medianStrokeWidthRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum ratio of stroke width for two letters to be considered to be
related
- MelFilter - Class in org.openimaj.audio.filters
-
A Mel triangular filter for frequency spectrum.
- MelFilter(double, double) - Constructor for class org.openimaj.audio.filters.MelFilter
-
The Mel Filter default constructor.
- MelFilterBank - Class in org.openimaj.audio.filters
-
Filter bank of Mel filters for applying to a frequency domain source.
- MelFilterBank() - Constructor for class org.openimaj.audio.filters.MelFilterBank
-
Construct a default MelFilterBank.
- MelFilterBank(int, double, double) - Constructor for class org.openimaj.audio.filters.MelFilterBank
-
Default constructor to create a filter bank with the given number
of filters between the two given frequencies.
- melFrequencyToFrequency(double) - Static method in class org.openimaj.audio.util.AudioUtils
-
Converts a Mel frequency back into an approximation of a frequency.
- member_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
A Usergroup that this UserAccount is a member of.
- MemoryAudioSource - Class in org.openimaj.audio.util
-
Provides a buffered audio source such that the audio can be reset
and re-read as many times as needed without the need for redecoding.
- MemoryAudioSource(AudioStream) - Constructor for class org.openimaj.audio.util.MemoryAudioSource
-
Constructor that takes the audio stream to buffer.
- MemoryFeatureFile - Class in org.openimaj.tools.clusterquantiser
-
A feature file held in memory
- MemoryFeatureFile(byte[][], String[]) - Constructor for class org.openimaj.tools.clusterquantiser.MemoryFeatureFile
-
Construct with the given data
- MemoryLocalFeatureList<T extends LocalFeature<?,?>> - Class in org.openimaj.feature.local.list
-
An in-memory list of local features.
- MemoryLocalFeatureList() - Constructor for class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Construct an empty feature list
- MemoryLocalFeatureList(int) - Constructor for class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Construct an empty list with the given feature-vector length.
- MemoryLocalFeatureList(Collection<? extends T>) - Constructor for class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Construct a local feature list from the given collection of local
features.
- MemoryLocalFeatureList(int, int) - Constructor for class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Construct an empty list with the given feature-vector length and
pre-allocate the underlying array with space for initialCapacity local
features.
- MemoryTwitterStatusList<T extends USMFStatus> - Class in org.openimaj.twitter.collection
-
- MemoryTwitterStatusList(Collection<T>) - Constructor for class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
Consume a collection into this list
- MemoryTwitterStatusList() - Constructor for class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
an empty list
- merge(Component) - Method in class org.openimaj.image.analysis.watershed.Component
-
Merge another component with this one
- merge(ComponentFeature) - Method in interface org.openimaj.image.analysis.watershed.feature.ComponentFeature
-
Merge another feature with this one
- merge(ComponentFeature) - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
- merge(ComponentFeature) - Method in class org.openimaj.image.analysis.watershed.feature.PixelsFeature
-
- merge(ConnectedComponent) - Method in class org.openimaj.image.pixel.PixelSet
-
- merge_left(PolygonNode, PolygonNode) - Method in class org.openimaj.math.geometry.shape.util.polygon.TopPolygonNode
-
- merge_right(PolygonNode, PolygonNode) - Method in class org.openimaj.math.geometry.shape.util.polygon.TopPolygonNode
-
- mergeModes(double[][]) - Method in class org.openimaj.ml.clustering.meanshift.ExactMeanShift
-
- MergeTreeBuilder - Class in org.openimaj.image.analysis.watershed
-
A listener that listens to the watershed algorithm progress and creates a
region tree as the processing takes place.
- MergeTreeBuilder() - Constructor for class org.openimaj.image.analysis.watershed.MergeTreeBuilder
-
Default constructor
- MeshWarpAligner - Class in org.openimaj.image.processing.face.alignment
-
A MeshWarpAligner aligns facial images using a piecewise mesh warping such
that all detected facial keypoints are moved to their canonical coordinates.
- MeshWarpAligner() - Constructor for class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
Default constructor
- MeshWarpAligner(String[][]) - Constructor for class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
Construct with the given mesh definition
- MESSAGE_KEY - Variable in class org.openimaj.stream.provider.irc.BasicIRCStreamDataset
-
The message text key
- meta - Variable in class org.openimaj.tools.imagecollection.collection.ImageCollectionEntry
-
- metaAsJson(Map<String, String>) - Static method in class org.openimaj.tools.imagecollection.utils.MetaMapUtils
-
- MetadataConfiguration - Class in org.openimaj.hadoop.sequencefile
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Item
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.get_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.get_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.put_args
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.Kestrel.put_result
-
- metaDataMap - Static variable in class net.lag.kestrel.thrift.QueueInfo
-
- MetadataSequenceFileOutputFormat<K,V> - Class in org.openimaj.hadoop.sequencefile
-
Output format for a extended SequenceFile
that includes
additional metadata in the file header.
- MetadataSequenceFileOutputFormat() - Constructor for class org.openimaj.hadoop.sequencefile.MetadataSequenceFileOutputFormat
-
- MetadataVideoIterator<T extends Image<?,T>> - Class in org.openimaj.tools.imagecollection.collection.video
-
- MetadataVideoIterator(ImageCollectionEntrySelection<T>, Video<T>) - Constructor for class org.openimaj.tools.imagecollection.collection.video.MetadataVideoIterator
-
- MetaMapper - Class in org.openimaj.tools.imagecollection.metamapper
-
- MetaMapper() - Constructor for class org.openimaj.tools.imagecollection.metamapper.MetaMapper
-
- MetaMapperMode - Enum in org.openimaj.tools.imagecollection.collection.config
-
- MetaMapperMode - Enum in org.openimaj.tools.imagecollection
-
- MetaMapUtils - Class in org.openimaj.tools.imagecollection.utils
-
- MetaMapUtils() - Constructor for class org.openimaj.tools.imagecollection.utils.MetaMapUtils
-
- MetaPayload<PAYLOAD,META> - Class in org.openimaj.util.stream.window
-
A payload with metadata
- MetaPayload(PAYLOAD, META) - Constructor for class org.openimaj.util.stream.window.MetaPayload
-
- MetaPayloadStreamCombiner<AP,AM,BP,BM> - Class in org.openimaj.util.stream.window
-
A stream combiner takes two streams and produces a new stream of syncrhonised
pairs of the stream values.
- MetaPayloadStreamCombiner(Stream<A>, Stream<? extends MetaPayload<BP, BM>>) - Constructor for class org.openimaj.util.stream.window.MetaPayloadStreamCombiner
-
- MetaRefreshRedirectStrategy() - Constructor for class org.openimaj.io.HttpUtils.MetaRefreshRedirectStrategy
-
- MFCC - Class in org.openimaj.audio.features
-
A wrapper around the MFCC implementation of jAudio (which itself
is a wrapper around the OrangeCow Volume implementation of FFT).
- MFCC() - Constructor for class org.openimaj.audio.features.MFCC
-
Default constructor
- MFCC(AudioStream) - Constructor for class org.openimaj.audio.features.MFCC
-
Constructor for chaining to a stream
- MFCCs - Class in org.openimaj.docs.tutorial.fund.audio
-
Example that shows the extraction of MFCC features from an audio stream
and displaying the results in a visualisation.
- MFCCs() - Constructor for class org.openimaj.docs.tutorial.fund.audio.MFCCs
-
- MFCCsLive - Class in org.openimaj.docs.tutorial.fund.audio
-
Example that shows the extraction of MFCC features from a live audio stream
and displaying the results in a visualisation.
- MFCCsLive() - Constructor for class org.openimaj.docs.tutorial.fund.audio.MFCCsLive
-
- MFCheck - Class in com.jsaragih
-
Multiple face checker
- MFCheck() - Constructor for class com.jsaragih.MFCheck
-
- milliseconds - Variable in class org.openimaj.audio.timecode.AudioTimecode
-
The number of milliseconds from the start of the audio file
- millisecondsInView - Variable in class org.openimaj.vis.audio.AudioOverviewVisualisation
-
The calculation of how many milliseconds are in the last generated view
at the resampled overview.
- millisPerBeat(float) - Static method in class org.openimaj.audio.util.MusicUtils
-
Given a beats-per-minute rate, returns the number of milliseconds
in a single beat.
- min() - Method in class ch.akuhn.matrix.Matrix
-
- min(double[], double) - Static method in class ch.akuhn.matrix.Util
-
Min
- min(double[][], double) - Static method in class ch.akuhn.matrix.Util
-
Min
- min - Variable in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
- min() - Method in class org.openimaj.image.FImage
-
Find the minimum pixel value.
- min() - Method in class org.openimaj.image.Image
-
Find the minimum pixel value.
- min - Variable in class org.openimaj.image.model.pixel.OrthotopePixelModel
-
- min() - Method in class org.openimaj.image.MultiBandImage
-
Find the minimum pixel value.
- min - Variable in class org.openimaj.image.processing.algorithm.MinMaxAnalyser
-
- min() - Method in class org.openimaj.image.SVGImage
-
- min(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Get the minimum element value
- min(Vector) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Get the minimum element value
- min(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- min(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
min(A,B) returns an array the same size as A and B with the smallest elements
taken from A or B.
- min - Variable in class org.openimaj.ml.annotation.basic.util.RandomChooser
-
- MIN_COVAR_RECONDITION - Static variable in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Amount to add to the diagonal of the covariance matrix if it's
ill-conditioned.
- min_rating - Variable in class org.openimaj.twitter.USMFStatus
-
Minimum "rating" of content
- MIN_VALUE - Static variable in enum org.openimaj.hardware.gps.NMEASentenceType
-
- minAbsDiag(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Get the minimum absolute value of the diagonal.
- minAlpha - Static variable in class org.openimaj.image.neardups.sim.WatermarkSimulation
-
- minAngle() - Method in enum org.openimaj.image.processing.convolution.FImageGradients.Mode
-
Get the minimum angular value (in radians) computed by this mode.
- minArea - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Minimum allowed component size; used to quickly filter out small
components.
- minBounds - Variable in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
The minimum bounds of this node
- minBounds - Variable in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
The minimum bounds of this node
- minBounds - Variable in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
The minimum bounds of this node
- minBounds - Variable in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
The minimum bounds of this node
- minBounds - Variable in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
The minimum bounds of this node
- minBounds - Variable in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
The minimum bounds of this node
- minc - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- minCardinality - Variable in class org.openimaj.rdf.owl2java.PropertyDef
-
The minimum number of occurrences of this property allowed
- minCompression - Variable in class org.openimaj.image.neardups.sim.CompressSimulation
-
- mineps - Variable in class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader.TestStats
-
mineps variable
- MinEpsilon - Class in org.openimaj.algorithm.iterative
-
Predicate for stopping iteration after a given threshold on epsilon is
reached.
- MinEpsilon(double) - Constructor for class org.openimaj.algorithm.iterative.MinEpsilon
-
Construct with the given minimum epsilon value is reached
- MinEpsilonOrMaxIterations - Class in org.openimaj.algorithm.iterative
-
Convenience class that or's together the
MinEpsilon
and
MaxIterations
to produce a predicate that stops (returns
true) as soon as either the minimum error is reached or the maximum number of
iterations is exceeded.
- MinEpsilonOrMaxIterations(double, int) - Constructor for class org.openimaj.algorithm.iterative.MinEpsilonOrMaxIterations
-
Construct with the given minimum epsilon and maximum number of
iterations.
- MinFilter - Class in org.openimaj.image.processing.algorithm
-
Min filter; replaces each pixel with the minimum of its neighbours.
- MinFilter(Set<Pixel>) - Constructor for class org.openimaj.image.processing.algorithm.MinFilter
-
Construct with the given support region for selecting pixels to take the
median from.
- minHeight - Variable in class org.openimaj.image.neardups.sim.CropSimulation
-
- minHeight - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Minimum character height
- minimumBoundingRectangle() - Method in class org.openimaj.math.geometry.shape.Circle
-
- minimumBoundingRectangle() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- minimumBoundingRectangle() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Compute the minimum size rotated bounding rectangle that contains this
shape using the rotating calipers approach.
- minimumBoundingRectangle(boolean) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Compute the minimum size rotated bounding rectangle that contains this
shape using the rotating calipers approach.
- minimumBoundingRectangle() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- minimumBoundingRectangle() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- minimumBoundingRectangle() - Method in interface org.openimaj.math.geometry.shape.Shape
-
Compute the minimum size rotated bounding rectangle that contains this
shape.
- minimumBoundingRectangle() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- minIndex(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the smallest value in the array.
- minIndex(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the smallest value in the array.
- minIndex(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the smallest value in the array.
- minIndex(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the smallest value in the array.
- minIndex(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the smallest value in the array.
- minIndex(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the index to the smallest value in the array.
- minIndex() - Method in class org.openimaj.util.array.SparseByteArray
-
- minIndex() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- minIndex() - Method in class org.openimaj.util.array.SparseFloatArray
-
- minIndex() - Method in class org.openimaj.util.array.SparseIntArray
-
- minIndex() - Method in class org.openimaj.util.array.SparseLongArray
-
- minIndex() - Method in class org.openimaj.util.array.SparseShortArray
-
- minInplace(SparseMatrix, SparseMatrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- minLettersPerLine - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Minimum number of allowed letters on a line
- MinMaxAnalyser - Class in org.openimaj.image.processing.algorithm
-
Analyser that computes for every pixel the minimum and maximum of its
neighbours.
- MinMaxAnalyser(Set<Pixel>) - Constructor for class org.openimaj.image.processing.algorithm.MinMaxAnalyser
-
Construct with the given support region for selecting pixels to take the
median from.
- MinMaxDoGSIFTEngine - Class in org.openimaj.image.feature.local.engine
-
A modified implementation of Lowe's difference-of-Gaussian detector and SIFT
feature extraction technique that also records whether features are detected
at local minima or maxima by looking at the sign of the difference of
Gaussian.
- MinMaxDoGSIFTEngine() - Constructor for class org.openimaj.image.feature.local.engine.MinMaxDoGSIFTEngine
-
- MinMaxDoGSIFTEngine(DoGSIFTEngineOptions<FImage>) - Constructor for class org.openimaj.image.feature.local.engine.MinMaxDoGSIFTEngine
-
- MinMaxKeypoint - Class in org.openimaj.image.feature.local.keypoints
-
A
Keypoint
extended to hold information on whether was detected at a
maxima or minima.
- MinMaxKeypoint() - Constructor for class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint
-
Construct with the default feature vector length for SIFT (128).
- MinMaxKeypoint(float, float, float, float, byte[], boolean) - Constructor for class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint
-
Construct with the given parameters
- MinMaxKeypoint(int) - Constructor for class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint
-
Construct with the given feature vector length.
- MinMaxKeypoint.MinMaxKeypointLocation - Class in org.openimaj.image.feature.local.keypoints
-
- MinMaxKeypointLocation(float, float, float, float, boolean) - Constructor for class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint.MinMaxKeypointLocation
-
Construct with the given parameters
- minmaxmean(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- MINP_KEY - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
The minimum PMI
- MINPAIRCOUNT_KEY - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
The minimum number of pairs
- minPixel() - Method in class org.openimaj.image.FImage
-
Get the pixel with the minimum value.
- minpts - Variable in class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader.TestStats
-
minpts variable
- minr - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- minRad - Variable in class org.openimaj.image.analysis.algorithm.HoughCircles
-
- minScaleFactor - Variable in class org.openimaj.image.neardups.sim.ArbitaryStretchSimulation
-
- minScaleFactor - Static variable in class org.openimaj.image.neardups.sim.UniformScaleSimulation
-
- minSize - Variable in class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
- minSize - Variable in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
-
- minSize - Variable in class org.openimaj.tools.faces.FaceDetectorToolOptions
-
Minimum detection size
- minus(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- minus(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- minus(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- minus(Point2d) - Method in class org.openimaj.image.pixel.Pixel
-
- minus(Point2d) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- minus(Point2d) - Method in interface org.openimaj.math.geometry.point.Point2d
-
Take point point from another point such that return = this - a
- minus(Point2d) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- minus(Point3d) - Method in interface org.openimaj.math.geometry.point.Point3d
-
Take point point from another point such that return = this - a
- minus(Point3d) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- minus(T, double) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- minus(Vector, Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- minus(double, T) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- minus(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Subtract matrices A-B
- minus(Matrix, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Subtract a constant from all values
- minus(Point2d) - Method in class org.openimaj.video.tracking.klt.Feature
-
- minusCol(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Subtract the given col vector (held as a Matrix) from every col of the given
matrix, returning the result in a new matrix.
- minusEqualsCol(Matrix, Vector) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- minusEqualsRow(Matrix, Vector) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- minusInplace(DiagonalMatrix, T) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Subtract two matrices, storing the result in the second:
A = D - A
- minusInplace(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Subtract two matrices, storing the result in the first:
A = A - B
- minusInplace(T, Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Subtract a vector from another vector A = A - D
- minusRow(Matrix, double[]) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Subtract the given row vector from every row of the given matrix, returning
the result in a new matrix.
- minValue(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the smallest value in the array.
- minValue(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the smallest value in the array.
- minValue(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the smallest value in the array.
- minValue(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the smallest value in the array.
- minValue(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the smallest value in the array.
- minValue(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Returns the smallest value in the array.
- minValue() - Method in class org.openimaj.util.array.SparseByteArray
-
- minValue() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- minValue() - Method in class org.openimaj.util.array.SparseFloatArray
-
- minValue() - Method in class org.openimaj.util.array.SparseIntArray
-
- minValue() - Method in class org.openimaj.util.array.SparseLongArray
-
- minValue() - Method in class org.openimaj.util.array.SparseShortArray
-
- minVote - Variable in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- minWidth - Variable in class org.openimaj.image.neardups.sim.CropSimulation
-
- minX() - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
- minX() - Method in class org.openimaj.math.geometry.line.Line2d
-
- minX() - Method in class org.openimaj.math.geometry.point.PointList
-
- minX() - Method in class org.openimaj.math.geometry.shape.Circle
-
- minX() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- minX() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- minX() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- minX() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- minY() - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
- minY() - Method in class org.openimaj.math.geometry.line.Line2d
-
- minY() - Method in class org.openimaj.math.geometry.point.PointList
-
- minY() - Method in class org.openimaj.math.geometry.shape.Circle
-
- minY() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- minY() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- minY() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- minY() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- MissingRequiredAnnotationException - Exception in org.openimaj.text.nlp.textpipe.annotators
-
- MissingRequiredAnnotationException(String) - Constructor for exception org.openimaj.text.nlp.textpipe.annotators.MissingRequiredAnnotationException
-
- MitchellFilter - Class in org.openimaj.image.processing.resize.filters
-
Mitchell filter for the resample function.
- MitchellFilter() - Constructor for class org.openimaj.image.processing.resize.filters.MitchellFilter
-
- mix(SampleBuffer[], SampleBuffer) - Method in interface org.openimaj.audio.AudioMixer.MixEventListener
-
Callback for a mix event.
- MixtureOfGaussians - Class in org.openimaj.math.statistics.distribution
-
Implementation of a mixture of gaussians (gaussian mixture model).
- MixtureOfGaussians(MultivariateGaussian[], double[]) - Constructor for class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Construct the mixture with the given gaussians and weights
- MMSys2013 - Class in org.openimaj.image.annotation.evaluation.datasets
-
A wrapper dataset for the MMSys2013 Fashion-Focussed Creative Commons social
dataset (Loni, et.al).
- MMSys2013() - Constructor for class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
- MMSys2013.QuestionResponse - Enum in org.openimaj.image.annotation.evaluation.datasets
-
Allowable types of answer for each question.
- MMSys2013.Record - Class in org.openimaj.image.annotation.evaluation.datasets
-
A record in the Fashion 10,000 dataset.
- MMSys2013.Response - Class in org.openimaj.image.annotation.evaluation.datasets
-
A response to a HIT
- MockReference - Class in org.openimaj.citation.annotation.mock
-
- MockReference(BibTeXEntry) - Constructor for class org.openimaj.citation.annotation.mock.MockReference
-
Construct from a BibTeXEntry
- mode() - Method in enum org.openimaj.image.colour.ColourMap
-
- mode - Variable in class org.openimaj.image.connectedcomponent.ConnectedComponentLabeler
-
- mode - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
-
The mode of pixel values
- mode - Variable in class org.openimaj.image.processing.convolution.FImageGradients
-
The orientation mode
- model - Variable in class org.openimaj.image.model.patch.HistogramPatchModel
-
The model histogram; public for speed.
- model - Variable in class org.openimaj.image.model.pixel.HistogramPixelModel
-
The model histogram; public for speed.
- model - Variable in class org.openimaj.image.processing.face.detection.keypoints.FacialKeypointExtractor
-
- model - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
The tracker to use
- model - Variable in class org.openimaj.math.model.fit.LMedS
-
- model - Variable in class org.openimaj.math.model.fit.RANSAC
-
- model - Variable in class org.openimaj.math.model.fit.residuals.AbstractResidualCalculator
-
- Model<I,D> - Interface in org.openimaj.math.model
-
The Model interface defines a mathematical model which links dependent and
independent variables.
- Model(int, int) - Constructor for class org.openimaj.workinprogress.featlearn.SparseAutoencoder.Model
-
- model - Variable in class org.openimaj.workinprogress.optimisation.SGD
-
- ModelAnnotator<OBJECT,ANNOTATION,FEATURE> - Class in org.openimaj.ml.annotation.model
-
- ModelAnnotator(FeatureExtractor<FEATURE, OBJECT>, EstimatableModel<FEATURE, ANNOTATION>, Set<ANNOTATION>) - Constructor for class org.openimaj.ml.annotation.model.ModelAnnotator
-
Construct with the given parameters.
- modelCheck - Variable in class org.openimaj.math.geometry.transforms.AffineTransformModel
-
- modelCheck - Variable in class org.openimaj.math.geometry.transforms.HomographyModel
-
- modelConstructionData - Variable in class org.openimaj.math.model.fit.RANSAC
-
- ModelDistanceCheck - Class in org.openimaj.math.util.distance
-
- ModelDistanceCheck(Model<Double, Boolean>) - Constructor for class org.openimaj.math.util.distance.ModelDistanceCheck
-
Construct using the given model.
- modelfit - Variable in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- ModelFitting<I,D,M extends Model<I,D>> - Interface in org.openimaj.math.model.fit
-
An interface that describes an object capable of fitting data to a model in a
more generic way than through the Model's estimate method.
- ModelFittingLocalFeatureMatcher<T extends LocalFeature<?,?>> - Interface in org.openimaj.feature.local.matcher.consistent
-
Interface for classes able to match local features within the constraints of
a mathematical model between pairs of 2d points (i.e.
- modelKeypoints - Variable in class org.openimaj.feature.local.matcher.BasicMatcher
-
- modelKeypoints - Variable in class org.openimaj.feature.local.matcher.BasicTwoWayMatcher
-
- modelKeypoints - Variable in class org.openimaj.feature.local.matcher.quantised.BasicQuantisedKeypointMatcher
-
- modelKeypointsKNN - Variable in class org.openimaj.feature.local.matcher.FastBasicKeypointMatcher
-
- modeOptionsOp - Variable in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
The preprocessing to perform
- moderator_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
A Forum that a UserAccount is a moderator of.
- modified_at - Variable in class orgrdfs.sioc.ns.PostImpl
-
When this was modified, in ISO 8601 format.
- ModifiedLuoSimplicity - Class in org.openimaj.image.feature.global
-
Estimate the simplicity of an image by looking at the colour distribution of
the background.
- ModifiedLuoSimplicity() - Constructor for class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
Construct with the default values
- ModifiedLuoSimplicity(int, float, boolean, float, float, float, float, int) - Constructor for class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
Construct with the given values
- ModifiedLuoSimplicityExtractor - Class in org.openimaj.tools.globalfeature.type
-
Modified version of Luo's simplicity feature
- ModifiedLuoSimplicityExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.ModifiedLuoSimplicityExtractor
-
- modifier_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
An Item that this UserAccount has modified.
- modulator - Variable in class org.openimaj.audio.generation.Synthesizer.FMOptions
-
The modulator signal
- modulatorAmplitude - Variable in class org.openimaj.audio.generation.Synthesizer.FMOptions
-
The modulator amplitude
- ModuloModifier<O> - Class in org.openimaj.util.hash.modifier
-
Modify the underlying hash function by applying the modulus to the value.
- ModuloModifier(HashFunction<O>, int) - Constructor for class org.openimaj.util.hash.modifier.ModuloModifier
-
Construct with the given hash function and range.
- MomentFeature - Class in org.openimaj.image.analysis.watershed.feature
-
Accumulate the values of u11, u20 and u02 required to fit an
ellipse to the feature.
- MomentFeature() - Constructor for class org.openimaj.image.analysis.watershed.feature.MomentFeature
-
- month() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The month of publication (or, if unpublished, the month of creation)
- MooreNeighborStrategy - Class in org.openimaj.image.contour
-
The Moore Neighborhood contour tracing strategy as described by
this tutorial.
- MooreNeighborStrategy() - Constructor for class org.openimaj.image.contour.MooreNeighborStrategy
-
- more - Variable in class org.openimaj.math.geometry.shape.util.polygon.ScanBeamTree
-
- MotionEstimator - Class in org.openimaj.video.processing.motion
-
A motion estimator will estimate the motion of parts of a video frame.
- MotionEstimator(MotionEstimatorAlgorithm) - Constructor for class org.openimaj.video.processing.motion.MotionEstimator
-
Constructor a new motion estimator using the given algorithm.
- MotionEstimator(Video<FImage>, MotionEstimatorAlgorithm) - Constructor for class org.openimaj.video.processing.motion.MotionEstimator
-
Create a chainable motion estimator.
- MotionEstimatorAlgorithm - Class in org.openimaj.video.processing.motion
-
A set of algorithms for the motion estimator.
- MotionEstimatorAlgorithm() - Constructor for class org.openimaj.video.processing.motion.MotionEstimatorAlgorithm
-
- MotionEstimatorAlgorithm.PHASE_CORRELATION - Class in org.openimaj.video.processing.motion
-
Basic phase correlation algorithm that finds peaks in the cross-power
spectrum between two images.
- MotionEstimatorAlgorithm.TEMPLATE_MATCH - Class in org.openimaj.video.processing.motion
-
Within a search window around the subimages detect most likely match and
thus motion.
- motionVectors - Variable in class org.openimaj.video.processing.motion.MotionEstimator
-
The estimated motion vectors for the last analysed frame
- mouseClicked(MouseEvent) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
- mouseDragged(MouseEvent) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
- mouseEntered(MouseEvent) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
- mouseExited(MouseEvent) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
- mouseMoved(MouseEvent) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
- mousePressed(MouseEvent) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
- mouseReleased(MouseEvent) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
- moveTo(double, double) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Move the image to the given position (image coordinates)
- moveTo(Pixel) - Method in class org.openimaj.image.Plotter
-
Move to a pixel
- moveTo(int, int) - Method in class org.openimaj.image.Plotter
-
Move to a point
- MovingAverageProcessor - Class in org.openimaj.ml.timeseries.processor
-
Calculates a moving average over a specified window in the past such that
data[t_n] = sum^{m}_{i=1}{data[t_{n-i}}
This processor returns a value for each time in the underlying time series.
- MovingAverageProcessor(long) - Constructor for class org.openimaj.ml.timeseries.processor.MovingAverageProcessor
-
- MovingEdges - Class in org.openimaj.workinprogress.accel
-
- MovingEdges(FImage[], Processor<FImage>, int, float) - Constructor for class org.openimaj.workinprogress.accel.MovingEdges
-
- MPatch - Class in com.jsaragih
-
Multiple patches
- MPQAToken - Class in org.openimaj.text.nlp.sentiment.model.wordlist
-
An implementation of the Prior-Polarity baseline sentiment classifier described by Wilson et.
- MPQAToken() - Constructor for class org.openimaj.text.nlp.sentiment.model.wordlist.MPQAToken
-
Construct the sentiment model using the default word clue TFF
- MPQAToken(File) - Constructor for class org.openimaj.text.nlp.sentiment.model.wordlist.MPQAToken
-
Construct the sentiment model using the provided tff file
- MPQAToken(MPQAToken) - Constructor for class org.openimaj.text.nlp.sentiment.model.wordlist.MPQAToken
-
- MPQATokenList - Class in org.openimaj.text.nlp.sentiment.model.wordlist
-
An implementation of the Prior-Polarity baseline sentiment classifier described by Wilson et.
- MPQATokenList() - Constructor for class org.openimaj.text.nlp.sentiment.model.wordlist.MPQATokenList
-
Construct the sentiment model using the default word clue TFF
- MPQATokenList(File) - Constructor for class org.openimaj.text.nlp.sentiment.model.wordlist.MPQATokenList
-
Construct the sentiment model using the provided tff file
- MPQATokenList(MPQATokenList) - Constructor for class org.openimaj.text.nlp.sentiment.model.wordlist.MPQATokenList
-
- MR8FilterBank - Class in org.openimaj.image.processing.convolution.filterbank
-
Implementation of the MR8 filter bank described at:
http://www.robots.ox.ac.uk/~vgg/research/texclass/filters.html
This is the naive implementation and as such is quite slow.
- MR8FilterBank() - Constructor for class org.openimaj.image.processing.convolution.filterbank.MR8FilterBank
-
- MSERDetector - Class in org.openimaj.image.feature.local.detector.mser
-
Takes a merge tree from the watershed algorithm and detects MSERs.
- MSERDetector(TreeNode<Component>) - Constructor for class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
Constructor that takes the merge tree from the watershed algorithm.
- MSERFeatureGenerator - Class in org.openimaj.image.feature.local.detector.mser
-
Detector for MSER features.
- MSERFeatureGenerator(Class<? extends ComponentFeature>...) - Constructor for class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
Default constructor
- MSERFeatureGenerator(int, int, int, float, float, Class<? extends ComponentFeature>...) - Constructor for class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
Constructor that takes all the parameters for the MSER process.
- MSERFeatureGenerator.MSERDirection - Enum in org.openimaj.image.feature.local.detector.mser
-
A way of representing how the MSER should be processed.
- mstep(GaussianMixtureModelEM.EMGMM, GaussianMixtureModelEM, Matrix, Matrix, Matrix, double[]) - Method in enum org.openimaj.ml.gmm.GaussianMixtureModelEM.CovarianceType
-
Mode specific maximisation-step.
- mstep(GaussianMixtureModelEM.EMGMM, double[][], double[][]) - Method in class org.openimaj.ml.gmm.GaussianMixtureModelEM
-
- mtjToDoubleArray(DenseMatrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Convert an mtj matrix into a 2d double array
- mult(Vector) - Method in class ch.akuhn.matrix.Matrix
-
Returns y = Ax
.
- mult(Vector) - Method in class ch.akuhn.matrix.SparseMatrix
-
- mult(Vector) - Method in class ch.akuhn.matrix.SymmetricMatrix
-
- mult(Vector) - Method in class org.openimaj.math.matrix.DiagonalMatrix
-
- MultiBandImage<T extends Comparable<T>,I extends MultiBandImage<T,I,S>,S extends SingleBandImage<T,S>> - Class in org.openimaj.image
-
A base class for multi-band images.
- MultiBandImage() - Constructor for class org.openimaj.image.MultiBandImage
-
Default constructor for a multiband image.
- MultiBandImage(ColourSpace) - Constructor for class org.openimaj.image.MultiBandImage
-
Default constructor for a multiband image.
- MultiBandImage(ColourSpace, S...) - Constructor for class org.openimaj.image.MultiBandImage
-
Construct a multiband image using each of the given images as the bands
(in order).
- MultiBandRenderer<T extends Comparable<T>,I extends MultiBandImage<T,I,S>,S extends SingleBandImage<T,S>> - Class in org.openimaj.image.renderer
-
- MultiBandRenderer(I) - Constructor for class org.openimaj.image.renderer.MultiBandRenderer
-
Construct with given target image.
- MultiBandRenderer(I, RenderHints) - Constructor for class org.openimaj.image.renderer.MultiBandRenderer
-
Construct with given target image and rendering hints.
- MultichannelToMonoProcessor - Class in org.openimaj.audio.conversion
-
Converts a stereo audio stream into a mono one by averaging the
channels' samples and creating a mono sample set.
- MultichannelToMonoProcessor() - Constructor for class org.openimaj.audio.conversion.MultichannelToMonoProcessor
-
Create a processor to process chunks.
- MultichannelToMonoProcessor(AudioStream) - Constructor for class org.openimaj.audio.conversion.MultichannelToMonoProcessor
-
Create a processor for the given audio stream.
- MultidimensionalByteFV - Class in org.openimaj.feature
-
Basic byte multidimensional feature vector implementation
- MultidimensionalByteFV() - Constructor for class org.openimaj.feature.MultidimensionalByteFV
-
Construct an empty feature vector
- MultidimensionalByteFV(int...) - Constructor for class org.openimaj.feature.MultidimensionalByteFV
-
Construct empty FV with given dimensions
- MultidimensionalByteFV(byte[], int...) - Constructor for class org.openimaj.feature.MultidimensionalByteFV
-
Construct from flattened values array and dimensions
- MultidimensionalByteFV(byte[][]) - Constructor for class org.openimaj.feature.MultidimensionalByteFV
-
Construct from 2-dimensional array
- MultidimensionalByteFV(byte[][][]) - Constructor for class org.openimaj.feature.MultidimensionalByteFV
-
Construct from 3-dimensional array
- MultidimensionalDoubleFV - Class in org.openimaj.feature
-
Basic double multidimensional feature vector implementation
- MultidimensionalDoubleFV() - Constructor for class org.openimaj.feature.MultidimensionalDoubleFV
-
Construct an empty feature vector
- MultidimensionalDoubleFV(int...) - Constructor for class org.openimaj.feature.MultidimensionalDoubleFV
-
Construct empty FV with given dimensions
- MultidimensionalDoubleFV(double[], int...) - Constructor for class org.openimaj.feature.MultidimensionalDoubleFV
-
Construct from flattened values array and dimensions
- MultidimensionalDoubleFV(double[][]) - Constructor for class org.openimaj.feature.MultidimensionalDoubleFV
-
Construct from 2-dimensional array
- MultidimensionalDoubleFV(double[][][]) - Constructor for class org.openimaj.feature.MultidimensionalDoubleFV
-
Construct from 3-dimensional array
- MultidimensionalFloatFV - Class in org.openimaj.feature
-
Basic float multidimensional feature vector implementation
- MultidimensionalFloatFV() - Constructor for class org.openimaj.feature.MultidimensionalFloatFV
-
Construct an empty feature vector
- MultidimensionalFloatFV(int...) - Constructor for class org.openimaj.feature.MultidimensionalFloatFV
-
Construct empty FV with given dimensions
- MultidimensionalFloatFV(float[], int...) - Constructor for class org.openimaj.feature.MultidimensionalFloatFV
-
Construct from flattened values array and dimensions
- MultidimensionalFloatFV(float[][]) - Constructor for class org.openimaj.feature.MultidimensionalFloatFV
-
Construct from 2-dimensional array
- MultidimensionalFloatFV(float[][][]) - Constructor for class org.openimaj.feature.MultidimensionalFloatFV
-
Construct from 3-dimensional array
- MultidimensionalHistogram - Class in org.openimaj.math.statistics.distribution
-
Simple Histogram based on a MultidimensionalDoubleFV.
- MultidimensionalHistogram(int...) - Constructor for class org.openimaj.math.statistics.distribution.MultidimensionalHistogram
-
Construct a histogram with the given number of bins
per dimension.
- MultidimensionalIntFV - Class in org.openimaj.feature
-
Basic int multidimensional feature vector implementation
- MultidimensionalIntFV() - Constructor for class org.openimaj.feature.MultidimensionalIntFV
-
Construct an empty feature vector
- MultidimensionalIntFV(int...) - Constructor for class org.openimaj.feature.MultidimensionalIntFV
-
Construct empty FV with given dimensions
- MultidimensionalIntFV(int[], int...) - Constructor for class org.openimaj.feature.MultidimensionalIntFV
-
Construct from flattened values array and dimensions
- MultidimensionalIntFV(int[][]) - Constructor for class org.openimaj.feature.MultidimensionalIntFV
-
Construct from 2-dimensional array
- MultidimensionalIntFV(int[][][]) - Constructor for class org.openimaj.feature.MultidimensionalIntFV
-
Construct from 3-dimensional array
- MultidimensionalLongFV - Class in org.openimaj.feature
-
Basic long multidimensional feature vector implementation
- MultidimensionalLongFV() - Constructor for class org.openimaj.feature.MultidimensionalLongFV
-
Construct an empty feature vector
- MultidimensionalLongFV(int...) - Constructor for class org.openimaj.feature.MultidimensionalLongFV
-
Construct empty FV with given dimensions
- MultidimensionalLongFV(long[], int...) - Constructor for class org.openimaj.feature.MultidimensionalLongFV
-
Construct from flattened values array and dimensions
- MultidimensionalLongFV(long[][]) - Constructor for class org.openimaj.feature.MultidimensionalLongFV
-
Construct from 2-dimensional array
- MultidimensionalLongFV(long[][][]) - Constructor for class org.openimaj.feature.MultidimensionalLongFV
-
Construct from 3-dimensional array
- MultidimensionalScaling - Class in org.openimaj.math.matrix.similarity.processor
-
Implementation of Multidimensional Scaling.
- MultidimensionalScaling() - Constructor for class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
Default constructor.
- MultidimensionalScaling(Random) - Constructor for class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
Construct with the given random number generator and default learning
rate at 0.01 and the maximum number of iterations to 1000.
- MultidimensionalScaling(int, double) - Constructor for class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
Construct MDS with the given maximum number of iterations and rate.
- MultidimensionalScaling(int, double, Random) - Constructor for class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
Construct MDS with the given maximum number of iterations, rate and
random number generator.
- MultidimensionalShortFV - Class in org.openimaj.feature
-
Basic short multidimensional feature vector implementation
- MultidimensionalShortFV() - Constructor for class org.openimaj.feature.MultidimensionalShortFV
-
Construct an empty feature vector
- MultidimensionalShortFV(int...) - Constructor for class org.openimaj.feature.MultidimensionalShortFV
-
Construct empty FV with given dimensions
- MultidimensionalShortFV(short[], int...) - Constructor for class org.openimaj.feature.MultidimensionalShortFV
-
Construct from flattened values array and dimensions
- MultidimensionalShortFV(short[][]) - Constructor for class org.openimaj.feature.MultidimensionalShortFV
-
Construct from 2-dimensional array
- MultidimensionalShortFV(short[][][]) - Constructor for class org.openimaj.feature.MultidimensionalShortFV
-
Construct from 3-dimensional array
- multiFactObjectsQuery(Map<String, String>, String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- MultiFunction<IN,OUT> - Interface in org.openimaj.util.function
-
Apply a function to some input, producing zero or more appropriate results.
- multiOut - Variable in class org.openimaj.hadoop.mapreduce.stage.helper.MultipleOutputReducer
-
- MultipleMatchesMatcher<T extends Keypoint> - Class in org.openimaj.feature.local.matcher
-
- MultipleMatchesMatcher(int, double) - Constructor for class org.openimaj.feature.local.matcher.MultipleMatchesMatcher
-
Construct with the given minimum number of similar features
and threshold for defining similarity.
- MultipleOutputReducer<MAP_OUTPUT_KEY,MAP_OUTPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
- MultipleOutputReducer() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.MultipleOutputReducer
-
- MultipleOutputStage<INPUT_FORMAT extends org.apache.hadoop.mapreduce.lib.input.FileInputFormat<INPUT_KEY,INPUT_VALUE>,INPUT_KEY,INPUT_VALUE,MAP_OUTPUT_KEY,MAP_OUTPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- MultipleOutputStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.MultipleOutputStage
-
- multiply(double) - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Multipy the samples by the given scalar
- multiply(Float) - Method in class org.openimaj.image.FImage
-
Multiply each pixel of this by the given scalar and return new image.
- multiply(Image<?, ?>) - Method in class org.openimaj.image.Image
-
Multiply the pixel values in this image with the corresponding pixel
values in the given image.
- multiply(Q) - Method in class org.openimaj.image.Image
-
Multiply each pixel of this by the given scalar and return new image.
- multiply(T) - Method in class org.openimaj.image.MultiBandImage
-
Multiplies each pixel of every band by the given value and returns the
result as a new image.
- multiply(CLQueue, CLImage2D, CLImage2D, CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Multiply two images, storing the result in another image
- multiply(CLQueue, CLImage2D, float[], CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Multiply an image by a constant, storing the result in another image
- multiply(CLImage2D, CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Multiply two images, returning a new image with the result
- multiply(CLImage2D, float[]) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Multiply an image by a constant, returning a new image with the result
- multiply(I, I) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Multiply two images, returning a new image with the result
- multiply(I, float[]) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Multiply an image by a constant, returning a new image with the result
- multiply(DiscreteCountBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- multiply(Integer) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- multiply(WeightedBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- multiply(Double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- multiply(double[], double) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(double[][], double) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(float[], float) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(float[][], float) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(int[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(int[][], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(long[], long) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(long[][], long) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(byte[], byte) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(byte[][], byte) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(short[], short) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(short[][], short) - Static method in class org.openimaj.util.array.ArrayUtils
-
Multiply by a constant all elements and return the input
- multiply(double[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1
- multiply(double[][], double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1.
- multiply(float[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1
- multiply(float[][], float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1.
- multiply(int[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1
- multiply(int[][], int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1.
- multiply(long[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1
- multiply(long[][], long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1.
- multiply(byte[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1
- multiply(byte[][], byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1.
- multiply(short[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1
- multiply(short[][], short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise multiplication, overwriting a1.
- multiply(double) - Method in class org.openimaj.util.array.SparseByteArray
-
Copy this vector and multiply its values by a
scalar
- multiply(double) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Copy this vector and multiply its values by a
scalar
- multiply(double) - Method in class org.openimaj.util.array.SparseFloatArray
-
Copy this vector and multiply its values by a
scalar
- multiply(double) - Method in class org.openimaj.util.array.SparseIntArray
-
Copy this vector and multiply its values by a
scalar
- multiply(double) - Method in class org.openimaj.util.array.SparseLongArray
-
Copy this vector and multiply its values by a
scalar
- multiply(double) - Method in class org.openimaj.util.array.SparseShortArray
-
Copy this vector and multiply its values by a
scalar
- multiply(OBJECT) - Method in interface org.openimaj.util.math.ObjectArithmetic
-
Multiply a copy of this.
- multiply(SCALAR) - Method in interface org.openimaj.util.math.ScalarArithmetic
-
Multiply a copy of this.
- multiplyInplace(FImage) - Method in class org.openimaj.image.FImage
-
Multiplies this image's pixel values by the corresponding pixel values in
the given image side-affecting this image.
- multiplyInplace(Float) - Method in class org.openimaj.image.FImage
-
Multiply each pixel of this by the given scalar.
- multiplyInplace(float) - Method in class org.openimaj.image.FImage
-
Multiply all pixel values by the given value
- multiplyInplace(Image<?, ?>) - Method in class org.openimaj.image.FImage
-
Multiply each pixel in this image by the corresponding pixel in the given
image.
- multiplyInplace(Image<?, ?>) - Method in class org.openimaj.image.Image
-
Multiply each pixel in this image by the corresponding pixel in the given
image.
- multiplyInplace(Q) - Method in class org.openimaj.image.Image
-
Multiply each pixel of this by the given scalar.
- multiplyInplace(Image<?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Multiply each pixel in this image by the corresponding pixel in the given
image.
- multiplyInplace(MultiBandImage<?, ?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Multiplies every pixel in this image by the corresponding pixel in the
corresponding band in the given image.
- multiplyInplace(SingleBandImage<?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Multiplies every pixel in this image by the corresponding pixel in the
given image.
- multiplyInplace(T) - Method in class org.openimaj.image.MultiBandImage
-
Multiplies each pixel of every band by the given value.
- multiplyInplace(T[]) - Method in class org.openimaj.image.MultiBandImage
-
Multiply each pixel of this by the given scalar.
- multiplyInplace(Image<?, ?>) - Method in class org.openimaj.image.SVGImage
-
- multiplyInplace(Float[]) - Method in class org.openimaj.image.SVGImage
-
- multiplyInplace(DiscreteCountBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- multiplyInplace(Integer) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- multiplyInplace(WeightedBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- multiplyInplace(Double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- multiplyInplace(double) - Method in class org.openimaj.util.array.SparseByteArray
-
Multiply the values inplace by a scalar and return this
- multiplyInplace(double) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Multiply the values inplace by a scalar and return this
- multiplyInplace(double) - Method in class org.openimaj.util.array.SparseFloatArray
-
Multiply the values inplace by a scalar and return this
- multiplyInplace(double) - Method in class org.openimaj.util.array.SparseIntArray
-
Multiply the values inplace by a scalar and return this
- multiplyInplace(double) - Method in class org.openimaj.util.array.SparseLongArray
-
Multiply the values inplace by a scalar and return this
- multiplyInplace(double) - Method in class org.openimaj.util.array.SparseShortArray
-
Multiply the values inplace by a scalar and return this
- multiplyInplace(OBJECT) - Method in interface org.openimaj.util.math.ObjectArithmetic
-
Multiply this.
- multiplyInplace(SCALAR) - Method in interface org.openimaj.util.math.ScalarArithmetic
-
Multiply this.
- multiplyInplace(KeyedParameters<KEY>) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- multiplyInplace(KEY, double) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- multiplyInplace(double) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- multiplyInplace(PTYPE) - Method in interface org.openimaj.workinprogress.optimisation.params.Parameters
-
- multiplyInplace(double) - Method in interface org.openimaj.workinprogress.optimisation.params.Parameters
-
- multiplyInplace(VectorParameters) - Method in class org.openimaj.workinprogress.optimisation.params.VectorParameters
-
- multiplyInplace(double) - Method in class org.openimaj.workinprogress.optimisation.params.VectorParameters
-
- MultiResolutionActiveShapeModel<I extends Image<?,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.model.asm
-
Implementation of a basic Multi-resolution Active Shape Model.
- MultiResolutionActiveShapeModel(ActiveShapeModel<I>[]) - Constructor for class org.openimaj.image.model.asm.MultiResolutionActiveShapeModel
-
- MultiscaleInterestPointDetector<T extends InterestPointData> - Interface in org.openimaj.image.feature.local.interest
-
A multiscale detector of interest points.
- MultiScaleObjectDetector<IMAGE extends Image<?,IMAGE>,DETECTED_OBJECT> - Interface in org.openimaj.image.objectdetection
-
Interface describing a multi-scale object detector.
- MultiStagedJob - Class in org.openimaj.hadoop.mapreduce
-
A set of hadoop jobs done in series.
- MultiStagedJob(Path[], Path, String[]) - Constructor for class org.openimaj.hadoop.mapreduce.MultiStagedJob
-
Start a multistaged job specification.
- MultiStagedJob(Path[], Path, boolean, String[]) - Constructor for class org.openimaj.hadoop.mapreduce.MultiStagedJob
-
Start a multistaged job specification.
- MultiStagedJob(String, String, String[]) - Constructor for class org.openimaj.hadoop.mapreduce.MultiStagedJob
-
Conveniance function.
- MultiThreadedDetector - Class in org.openimaj.image.objectdetection.haar
-
- MultiThreadedDetector(StageTreeClassifier, float, int, int, ThreadPoolExecutor) - Constructor for class org.openimaj.image.objectdetection.haar.MultiThreadedDetector
-
- MultiThreadedDetector(StageTreeClassifier, float) - Constructor for class org.openimaj.image.objectdetection.haar.MultiThreadedDetector
-
- MultiThreadedDetector(StageTreeClassifier) - Constructor for class org.openimaj.image.objectdetection.haar.MultiThreadedDetector
-
Construct the
MultiThreadedDetector
with the given tree of
stages, and the default parameters for step sizes and scale factor.
- MultiTracker - Class in org.openimaj.image.processing.face.tracking.clm
-
A CLM Tracker that is able to deal with multiple tracks within the same
video.
- MultiTracker(CLM, FDet, MFCheck, Matrix, double[]) - Constructor for class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Create a tracker using the given model, face detector, failure checker,
reference shape and similarity measures.
- MultiTracker(MultiTracker.TrackerVars) - Constructor for class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Create a tracker with the given variables.
- MultiTracker() - Constructor for class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Constructor for making a tracker when loading data.
- MultiTracker.TrackedFace - Class in org.openimaj.image.processing.face.tracking.clm
-
Encapsulates the variables for a single tracked face.
- MultiTracker.TrackerVars - Class in org.openimaj.image.processing.face.tracking.clm
-
This class is used to store the tracker variables when they are loaded
from a file.
- MultiTransformClassFileTransformer - Class in org.openimaj.aop
-
- MultiTransformClassFileTransformer(ClassTransformer, ClassTransformer...) - Constructor for class org.openimaj.aop.MultiTransformClassFileTransformer
-
- multiTripleObjectsQuery(Map<String, String>, String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- MultiValueFieldGetter - Class in org.kohsuke.args4j.spi
-
- MultiValueFieldGetter(String, Object, Field) - Constructor for class org.kohsuke.args4j.spi.MultiValueFieldGetter
-
- MultivariateDistribution - Interface in org.openimaj.math.statistics.distribution
-
A continuous multivariate distribution.
- MultivariateGaussian - Interface in org.openimaj.math.statistics.distribution
-
Interface describing a multivariate gaussian distribution
- MultivariateKernelDensityEstimate - Class in org.openimaj.math.statistics.distribution
-
A Parzen window kernel density estimate using a univariate kernel and
Euclidean distance.
- MultivariateKernelDensityEstimate(double[][], UnivariateKernel, double) - Constructor for class org.openimaj.math.statistics.distribution.MultivariateKernelDensityEstimate
-
Construct with the given data, kernel and bandwidth
- MultivariateKernelDensityEstimate(List<double[]>, UnivariateKernel, double) - Constructor for class org.openimaj.math.statistics.distribution.MultivariateKernelDensityEstimate
-
Construct with the given data, kernel and bandwidth
- MultiviewSimilarityClusterer<CLUSTERS extends IndexClusters> - Interface in org.openimaj.ml.clustering
-
- MultiviewSpectralClusteringConf<DATATYPE> - Class in org.openimaj.ml.clustering.spectral
-
- MultiviewSpectralClusteringConf(double, SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE>, GraphLaplacian) - Constructor for class org.openimaj.ml.clustering.spectral.MultiviewSpectralClusteringConf
-
- MultiviewSpectralClusteringConf(double, SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE>, int) - Constructor for class org.openimaj.ml.clustering.spectral.MultiviewSpectralClusteringConf
-
- MultiviewSpectralClusteringConf(double, SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE>) - Constructor for class org.openimaj.ml.clustering.spectral.MultiviewSpectralClusteringConf
-
- murmurhash(byte[]) - Static method in class org.openimaj.util.hash.StringMurmurHashFunction
-
Compute the Murmur hash (http://murmurhash.googlepages.com/) of the given
bytes.
- murmurhash(byte[], int) - Static method in class org.openimaj.util.hash.StringMurmurHashFunction
-
Compute the Murmur hash (http://murmurhash.googlepages.com/) of the given
bytes.
- murmurhash(byte[], int, int) - Static method in class org.openimaj.util.hash.StringMurmurHashFunction
-
Compute the Murmur hash (http://murmurhash.googlepages.com/) of the given
bytes.
- MusicalNoteFilterBank - Class in org.openimaj.audio.filters
-
A filter bank for musical note detection.
- MusicalNoteFilterBank(AudioFormat) - Constructor for class org.openimaj.audio.filters.MusicalNoteFilterBank
-
Create a 12-deep filter bank for detecting notes
between C4 and C5.
- MusicalNoteFilterBank(int, int, AudioFormat) - Constructor for class org.openimaj.audio.filters.MusicalNoteFilterBank
-
Create a filter bank for detecting notes between the start
note given and the end note given.
- MusicalNoteOnsetDetector - Class in org.openimaj.audio.filters
-
Uses a
MusicalNoteFilterBank
to determine the power output of
the notes of a western scale over the frame.
- MusicalNoteOnsetDetector() - Constructor for class org.openimaj.audio.filters.MusicalNoteOnsetDetector
-
- MusicSpeechDataset - Class in org.openimaj.audio.analysis.benchmarking.dataset
-
OpenIMAJ Dataset for the MusicSpeech Database
- MusicSpeechDataset(File, boolean) - Constructor for class org.openimaj.audio.analysis.benchmarking.dataset.MusicSpeechDataset
-
Create the Music-Speech Dataset from the given directory.
- MusicUtils - Class in org.openimaj.audio.util
-
Static utility methods that are related to music (more semantic
than audio utilities).
- MusicUtils() - Constructor for class org.openimaj.audio.util.MusicUtils
-
- mx - Variable in class org.openimaj.hardware.compass.CompassData
-
mx
- my - Variable in class org.openimaj.hardware.compass.CompassData
-
my
- mz - Variable in class org.openimaj.hardware.compass.CompassData
-
mz
- p1 - Variable in class org.openimaj.image.camera.CameraIntrinsics
-
First tangential distortion term
- p2 - Variable in class org.openimaj.image.camera.CameraIntrinsics
-
Second tangential distortion term
- pa - Variable in class org.openimaj.text.nlp.textpipe.pipes.YagoEntityPipe
-
- pack(double, int, int, double[], int) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_2D
-
Sets the specified Fourier mode of the transformed data.
- pack(double, int, int, double[][]) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_2D
-
Sets the specified Fourier mode of the transformed data.
- pack(float, int, int, float[], int) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_2D
-
Sets the specified Fourier mode of the transformed data.
- pack(float, int, int, float[][]) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_2D
-
Sets the specified Fourier mode of the transformed data.
- pack(double, int, int, int, double[], int) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_3D
-
Sets the specified Fourier mode of the transformed data.
- pack(double, int, int, int, double[][][]) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_3D
-
Sets the specified Fourier mode of the transformed data.
- pack(float, int, int, int, float[], int) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_3D
-
Sets the specified Fourier mode of the transformed data.
- pack(float, int, int, int, float[][][]) - Method in class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_3D
-
Sets the specified Fourier mode of the transformed data.
- pack() - Method in class org.openimaj.content.slideshow.Slideshow
-
- pack() - Method in class org.openimaj.content.slideshow.SlideshowApplet
-
- pack() - Method in class org.openimaj.content.slideshow.SlideshowApplication
-
- packedHamming(double, double) - Static method in class org.openimaj.math.util.distance.HammingUtils
-
Bitwise (assuming packed bit strings) hamming distance
- packedHamming(float, float) - Static method in class org.openimaj.math.util.distance.HammingUtils
-
Bitwise (assuming packed bit strings) hamming distance
- packedHamming(long, long) - Static method in class org.openimaj.math.util.distance.HammingUtils
-
Bitwise (assuming packed bit strings) hamming distance
- packedHamming(int, int) - Static method in class org.openimaj.math.util.distance.HammingUtils
-
Bitwise (assuming packed bit strings) hamming distance
- packedHamming(byte, byte) - Static method in class org.openimaj.math.util.distance.HammingUtils
-
Bitwise (assuming packed bit strings) hamming distance
- packedHamming(char, char) - Static method in class org.openimaj.math.util.distance.HammingUtils
-
Bitwise (assuming packed bit strings) hamming distance
- packedHamming(short, short) - Static method in class org.openimaj.math.util.distance.HammingUtils
-
Bitwise (assuming packed bit strings) hamming distance
- pad(int) - Method in class org.openimaj.audio.SampleChunk
-
Pads the sample chunk to the given size with zeros.
- padding(int, int) - Method in class org.openimaj.image.Image
-
- padding(int, int, Q) - Method in class org.openimaj.image.Image
-
Adds this many pixels to both sides of the image such that the new image
width = padding + width + padding with the original image in the middle
- PADDING - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- padding_bits_per_pixel() - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- padding_bits_per_pixel(byte) - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- paddingSymmetric(int, int, int, int) - Method in class org.openimaj.image.Image
-
Adds pixels to around the image such that the new image width =
paddingLeft + width + paddingRight with the original image in the middle.
- page - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
The page that was edited
- pageQuery(String) - Method in class org.openimaj.text.nlp.namedentity.SparqlQueryPager
-
Process a query in the form of a string.
- pages() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
Page numbers
- pageUrl - Variable in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
The URL of the page
- paint(Graphics) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
- paint(Graphics) - Method in class org.openimaj.image.DisplayUtilities.ScalingImageComponent
-
- paint(Graphics) - Method in class org.openimaj.video.VideoPlayer.VideoPlayerComponent.ButtonsPanel
-
- paint(Graphics) - Method in class org.openimaj.vis.VisualisationImpl
- pair(byte, byte) - Static method in class org.openimaj.util.pair.ByteBytePair
-
Create a pair from the given values.
- pair(byte, double) - Static method in class org.openimaj.util.pair.ByteDoublePair
-
Create a pair from the given values.
- pair(byte, float) - Static method in class org.openimaj.util.pair.ByteFloatPair
-
Create a pair from the given values.
- pair(byte, int) - Static method in class org.openimaj.util.pair.ByteIntPair
-
Create a pair from the given values.
- pair(byte, long) - Static method in class org.openimaj.util.pair.ByteLongPair
-
Create a pair from the given values.
- pair(byte, Q) - Static method in class org.openimaj.util.pair.ByteObjectPair
-
Create a pair from the given objects.
- pair(byte, short) - Static method in class org.openimaj.util.pair.ByteShortPair
-
Create a pair from the given values.
- pair(double, byte) - Static method in class org.openimaj.util.pair.DoubleBytePair
-
Create a pair from the given values.
- pair(double, double) - Static method in class org.openimaj.util.pair.DoubleDoublePair
-
Create a pair from the given values.
- pair(double, float) - Static method in class org.openimaj.util.pair.DoubleFloatPair
-
Create a pair from the given values.
- pair(double, int) - Static method in class org.openimaj.util.pair.DoubleIntPair
-
Create a pair from the given values.
- pair(double, long) - Static method in class org.openimaj.util.pair.DoubleLongPair
-
Create a pair from the given values.
- pair(double, Q) - Static method in class org.openimaj.util.pair.DoubleObjectPair
-
Create a pair from the given objects.
- pair(double, short) - Static method in class org.openimaj.util.pair.DoubleShortPair
-
Create a pair from the given values.
- pair(float, byte) - Static method in class org.openimaj.util.pair.FloatBytePair
-
Create a pair from the given values.
- pair(float, double) - Static method in class org.openimaj.util.pair.FloatDoublePair
-
Create a pair from the given values.
- pair(float, float) - Static method in class org.openimaj.util.pair.FloatFloatPair
-
Create a pair from the given values.
- pair(float, int) - Static method in class org.openimaj.util.pair.FloatIntPair
-
Create a pair from the given values.
- pair(float, long) - Static method in class org.openimaj.util.pair.FloatLongPair
-
Create a pair from the given values.
- pair(float, Q) - Static method in class org.openimaj.util.pair.FloatObjectPair
-
Create a pair from the given objects.
- pair(float, short) - Static method in class org.openimaj.util.pair.FloatShortPair
-
Create a pair from the given values.
- pair(T, Q) - Static method in class org.openimaj.util.pair.IndependentPair
-
Create a pair from the given objects.
- pair(int, byte) - Static method in class org.openimaj.util.pair.IntBytePair
-
Create a pair from the given values.
- pair(int, double) - Static method in class org.openimaj.util.pair.IntDoublePair
-
Create a pair from the given values.
- pair(int, float) - Static method in class org.openimaj.util.pair.IntFloatPair
-
Create a pair from the given values.
- pair(int, int) - Static method in class org.openimaj.util.pair.IntIntPair
-
Create a pair from the given values.
- pair(int, long) - Static method in class org.openimaj.util.pair.IntLongPair
-
Create a pair from the given values.
- pair(int, Q) - Static method in class org.openimaj.util.pair.IntObjectPair
-
Create a pair from the given objects.
- pair(int, short) - Static method in class org.openimaj.util.pair.IntShortPair
-
Create a pair from the given values.
- pair(long, byte) - Static method in class org.openimaj.util.pair.LongBytePair
-
Create a pair from the given values.
- pair(long, double) - Static method in class org.openimaj.util.pair.LongDoublePair
-
Create a pair from the given values.
- pair(long, float) - Static method in class org.openimaj.util.pair.LongFloatPair
-
Create a pair from the given values.
- pair(long, int) - Static method in class org.openimaj.util.pair.LongIntPair
-
Create a pair from the given values.
- pair(long, long) - Static method in class org.openimaj.util.pair.LongLongPair
-
Create a pair from the given values.
- pair(long, Q) - Static method in class org.openimaj.util.pair.LongObjectPair
-
Create a pair from the given objects.
- pair(long, short) - Static method in class org.openimaj.util.pair.LongShortPair
-
Create a pair from the given values.
- pair(Q, byte) - Static method in class org.openimaj.util.pair.ObjectBytePair
-
Create a pair from the given objects.
- pair(Q, double) - Static method in class org.openimaj.util.pair.ObjectDoublePair
-
Create a pair from the given objects.
- pair(Q, float) - Static method in class org.openimaj.util.pair.ObjectFloatPair
-
Create a pair from the given objects.
- pair(Q, int) - Static method in class org.openimaj.util.pair.ObjectIntPair
-
Create a pair from the given objects.
- pair(Q, long) - Static method in class org.openimaj.util.pair.ObjectLongPair
-
Create a pair from the given objects.
- pair(Q, short) - Static method in class org.openimaj.util.pair.ObjectShortPair
-
Create a pair from the given objects.
- Pair<T> - Class in org.openimaj.util.pair
-
Pair represents a generic pair of objects.
- Pair(T, T) - Constructor for class org.openimaj.util.pair.Pair
-
Constructs a Pair object with two objects obj1 and obj2
- pair(short, byte) - Static method in class org.openimaj.util.pair.ShortBytePair
-
Create a pair from the given values.
- pair(short, double) - Static method in class org.openimaj.util.pair.ShortDoublePair
-
Create a pair from the given values.
- pair(short, float) - Static method in class org.openimaj.util.pair.ShortFloatPair
-
Create a pair from the given values.
- pair(short, int) - Static method in class org.openimaj.util.pair.ShortIntPair
-
Create a pair from the given values.
- pair(short, long) - Static method in class org.openimaj.util.pair.ShortLongPair
-
Create a pair from the given values.
- pair(short, Q) - Static method in class org.openimaj.util.pair.ShortObjectPair
-
Create a pair from the given objects.
- pair(short, short) - Static method in class org.openimaj.util.pair.ShortShortPair
-
Create a pair from the given values.
- PAIR_STATS_FILE - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
The location of the statistics file
- paircount - Variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
Number of times this pair appears together
- pairedTTest() - Method in class org.lemurproject.ireval.SetRetrievalComparator
-
- PairEmit - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
For each pair of tokens in a given document emit a count.
- PairEmit() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmit
-
- PairEmitCombiner - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
Assumes each key is a timeperiod split set of words ordered by single/pair words then by word order.
- PairEmitCombiner() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmitCombiner
-
- PairEmitCounter - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
The input to this reducer is ordered firstly by unary/pairs then within these sets by word
Given a particular time period, first read all unary counts and combine for each word
Then for all pairs, combine pair instances for a given pair then emit onces a new pair or the end is reached
Once the first non unary word is found, start counting for a particular word
- PairEmitCounter() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmitCounter
-
- PairEnum - Enum in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
Some statistics of pairs emitted
- pairList(List<T>, List<Q>) - Static method in class org.openimaj.util.pair.IndependentPair
-
Create a pair list from the given objects.
- PAIRMI_DIR - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
The pairMI output directory
- PAIRMI_LOC - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
The location of the pairmi
- PairMutualInformation - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
- PairMutualInformation(String[], long) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
- PairWiseComparisonTool - Class in org.openimaj.tools.globalfeature
-
A tool for computing the similarities/distances between two images based
on a global feature.
- PairWiseComparisonTool() - Constructor for class org.openimaj.tools.globalfeature.PairWiseComparisonTool
-
- PairwiseMutualInformationMode - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi
-
Perform DFIDF and output such that each timeslot is a instance and each word a feature
- PairwiseMutualInformationMode() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.PairwiseMutualInformationMode
-
- Parallel - Class in org.openimaj.util.parallel
-
Parallel processing utilities for looping.
- Parallel() - Constructor for class org.openimaj.util.parallel.Parallel
-
- Parallel.IntRange - Class in org.openimaj.util.parallel
-
An integer range with a step size.
- ParallelExecutor - Class in org.openimaj.tools.globalfeature
-
A tool for running other tools in parallel, in a similar manner to a UNIX
Makefile.
- ParallelExecutor() - Constructor for class org.openimaj.tools.globalfeature.ParallelExecutor
-
- parallelForEach(Operation<T>) - Method in class org.openimaj.util.stream.AbstractStream
-
- parallelForEach(Operation<T>, ThreadPoolExecutor) - Method in class org.openimaj.util.stream.AbstractStream
-
- parallelForEach(Operation<T>) - Method in interface org.openimaj.util.stream.Stream
-
Apply the given
Operation
to each item in the stream, making use
of multiple threads.
- parallelForEach(Operation<T>, ThreadPoolExecutor) - Method in interface org.openimaj.util.stream.Stream
-
Apply the given
Operation
to each item in the stream, making use
of multiple threads.
- parallelQuicksortAscending(double[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(double[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(float[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(int[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(long[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(byte[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortAscending(short[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(double[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(float[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(int[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(long[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(byte[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- parallelQuicksortDescending(short[], short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Sort parallel arrays.
- Parameter - Annotation Type in org.openimaj.util.api.auth
-
A parameter defining part of the authentication token required to access an
api.
- parameters - Variable in class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult
-
The model weight parameters
- Parameters<PTYPE extends Parameters<PTYPE>> - Interface in org.openimaj.workinprogress.optimisation.params
-
- params - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- params - Variable in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- parent - Variable in class org.openimaj.image.contour.Contour
-
The parent contour, might be null
- parent_of - Variable in class orgrdfs.sioc.ns.ContainerImpl
-
A child Container or Forum that this Container or Forum is a parent of.
- parentPyramid - Variable in class org.openimaj.image.analysis.pyramid.Octave
-
The pyramid that contains this Octave
- parse(String) - Method in class org.openimaj.hadoop.tools.downloader.InputMode.Parser
-
Parse a record into a key and list of potential URLs.
- parse(String) - Method in class org.openimaj.hardware.serial.RegExParser
-
Called to parse the raw data into tokens or sentences.
- parse(String) - Method in interface org.openimaj.hardware.serial.SerialDataParser
-
Called to parse the raw data into tokens or sentences.
- parse(String) - Static method in class org.openimaj.image.objectdetection.haar.WeightedRectangle
-
parse a string of the form "x y width height weight" to construct a
WeightedRectangle.
- parseABCNotes(String) - Static method in class org.openimaj.audio.util.MusicUtils
-
Parses the music notation from ABC files (without the header).
- parseArguments(String[]) - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkDoubleDCT
-
- parseArguments(String[]) - Static method in class edu.emory.mathcs.jtransforms.dct.BenchmarkFloatDCT
-
- parseArguments(String[]) - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkDoubleDHT
-
- parseArguments(String[]) - Static method in class edu.emory.mathcs.jtransforms.dht.BenchmarkFloatDHT
-
- parseArguments(String[]) - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkDoubleDST
-
- parseArguments(String[]) - Static method in class edu.emory.mathcs.jtransforms.dst.BenchmarkFloatDST
-
- parseArguments(String[]) - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkDoubleFFT
-
- parseArguments(String[]) - Static method in class edu.emory.mathcs.jtransforms.fft.BenchmarkFloatFFT
-
- parseArguments(Parameters) - Method in class org.kohsuke.args4j.FileOutputStreamOptionHandler
-
- parseArguments(Parameters) - Method in class org.kohsuke.args4j.FImageOptionHandler
-
- parseArguments(Parameters) - Method in class org.kohsuke.args4j.MBFImageOptionHandler
-
- parseArguments(Parameters) - Method in class org.kohsuke.args4j.ProxyOptionHandler
-
- parseAttributes(Map<? extends AttributedCharacterIterator.Attribute, Object>) - Method in class org.openimaj.image.typography.FontStyle
-
Parse the attributes map and set this FontStyle accordingly.
- parseAttributes(Map<? extends AttributedCharacterIterator.Attribute, Object>, ImageRenderer<T, ?>) - Static method in class org.openimaj.image.typography.FontStyle
-
Construct a new FontStyle from the given attribute map, suitable for
rendering into the given image.
- parseAttributes(Map<? extends AttributedCharacterIterator.Attribute, Object>) - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- parseAttributes(Map<? extends AttributedCharacterIterator.Attribute, Object>) - Method in class org.openimaj.image.typography.mathml.MathMLFontStyle
-
- parseDate() - Method in class org.openimaj.web.readability.Readability
-
- parseDateTime(String, String) - Static method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- parseElement(String, int, int) - Static method in class org.openimaj.image.processing.morphology.StructuringElement
-
Construct a structuring element from a @link{String} of the form produced
by @link{#toString()}.
- parseF(String) - Method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
- parseKestrelAddressList(List<String>) - Static method in class org.openimaj.kestrel.KestrelServerSpec
-
Parse a list of strings in the format: host:port.
- parseLatLong(double) - Static method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- parseLevelsAdvanced(String) - Static method in class org.openimaj.image.feature.local.aggregate.PyramidSpatialAggregator
-
- parseLine(String) - Static method in class org.openimaj.hardware.compass.OS5000_0x01_Parser
-
Given a line of data, parses the line into a
CompassData
object.
- parseMetadata(File) - Method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
- parseQR(String) - Method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013
-
Given a string returns a question response.
- Parser() - Constructor for class org.openimaj.hadoop.tools.downloader.InputMode.Parser
-
- parser - Variable in class org.openimaj.tools.ReferencesToolOpts
-
- parseString(String) - Method in class org.openimaj.hardware.gps.NMEAParser
-
- parseTime(String) - Static method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- parseTimeBinary(byte[]) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
read time and pmi from a byte array.
- parseTimeBinary(byte[], int, int) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
- parseTimeTokenID(String) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- partition(List<T>, Comparator<T>) - Static method in class org.openimaj.util.set.DisjointSetForest
-
- Partitioner<T> - Interface in org.openimaj.util.parallel.partition
-
A
Partitioner
partitions data into subsets that can
be processed in parallel.
- partitionSubsets(List<T>, Comparator<T>) - Static method in class org.openimaj.util.set.DisjointSetForest
-
Extract the subsets formed by constructing a
DisjointSetForest
which partitions the given values using the given
Comparator
to
determine equality of pairs of values.
- pass(SummedSqTiltAreaTable, float, int, int) - Method in class org.openimaj.image.objectdetection.haar.Stage
-
Test whether a stage passes.
- Patch - Class in com.jsaragih
-
A patch on a face
- Patch(int, double, double, FImage) - Constructor for class com.jsaragih.Patch
-
- PatchClassificationModel<Q,T extends Image<Q,T>> - Class in org.openimaj.image.model.patch
-
An
ImageClassificationModel
based on the idea of determining the
probability of a class of a pixel given the local patch of pixels surrounding
the pixel in question.
- PatchClassificationModel(int, int) - Constructor for class org.openimaj.image.model.patch.PatchClassificationModel
-
Construct with the given dimensions for the sampling patch.
- patchHeight - Variable in class org.openimaj.image.model.patch.PatchClassificationModel
-
- patchMean(float[][]) - Static method in class org.openimaj.image.processing.algorithm.MeanCenter
-
- patchMean(float[][], int, int, int, int) - Static method in class org.openimaj.image.processing.algorithm.MeanCenter
-
Finds the mean value of a sub-patch of a 2D float array.
- patchOrientation - Variable in class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
- patchOrientation - Variable in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- patchSize - Variable in class org.openimaj.workinprogress.featlearn.cifarexps.CIFARExperimentFramework
-
- patchWidth - Variable in class org.openimaj.image.model.patch.PatchClassificationModel
-
- path - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner
-
- path - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner
-
- path - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner
-
- path - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner
-
- path - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner
-
- path - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner
-
- Path2d - Interface in org.openimaj.math.geometry.path
-
A
Path2d
represents an arbitrary path between 2 points in a 2D space.
- pattern - Variable in class org.openimaj.image.feature.dense.binarypattern.BasicLocalBinaryPattern
-
- pattern - Variable in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
-
- pattern() - Method in class org.openimaj.text.nlp.patterns.PatternProvider
-
- pattern() - Method in class org.openimaj.text.nlp.patterns.TwitterStuffPatternProvider
-
- pattern() - Method in class org.openimaj.text.nlp.patterns.URLPatternProvider
-
- PatternProvider - Class in org.openimaj.text.nlp.patterns
-
Pattern providers must provide a regex string.
- PatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.PatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.AbbreviationPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.ColloquialismPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.CombinedPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.ComplicatedNumberPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider.Left
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider.Right
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.EmailPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.EmbeddedApostrophePatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.EmbeddedDashPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.EmoticonPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.EntityPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.PatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.PunctuationPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.TimePatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.TruncatedURLPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.TwitterStuffPatternProvider
-
- patternString() - Method in class org.openimaj.text.nlp.patterns.URLPatternProvider
-
- pause() - Method in class org.openimaj.audio.AudioPlayer
-
Pause the running of the timekeeper.
- pause() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Pause the running of the timekeeper.
- pause() - Method in interface org.openimaj.time.TimeKeeper
-
Pause the running of the timekeeper.
- pause() - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Pause the running of the timekeeper.
- pause() - Method in class org.openimaj.video.VideoPlayer
-
Pause the video
- PAW - Class in com.jsaragih
-
Piecewise affine warp
- payload(T, O) - Static method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- PayloadCoordinate<T extends Coordinate,O> - Class in org.openimaj.math.geometry.point
-
A concrete implementation of a
Coordinate
that has an associated
payload.
- PayloadCoordinate(T, O) - Constructor for class org.openimaj.math.geometry.point.PayloadCoordinate
-
Construct with coordinate and payload.
- pc - Variable in class org.openimaj.math.geometry.shape.PointDistributionModel
-
- pca - Variable in class org.openimaj.text.nlp.textpipe.pipes.YagoEntityPipe
-
- pcaSampleProp - Variable in class org.openimaj.tools.cbir.VLADIndexerBuilder
-
- PCAWhitening - Class in org.openimaj.math.matrix.algorithm.whitening
-
Whitening based on PCA.
- PCAWhitening(double, Normaliser) - Constructor for class org.openimaj.math.matrix.algorithm.whitening.PCAWhitening
-
Construct with the given variance regularization parameter and data
normalisation strategy.
- PCAWhitening(double, Normaliser, int) - Constructor for class org.openimaj.math.matrix.algorithm.whitening.PCAWhitening
-
Construct with the given variance regularization parameter, data
normalisation strategy and target dimensionality.
- PDM - Class in com.jsaragih
-
3D Point Distribution Model
- PDM() - Constructor for class com.jsaragih.PDM
-
- PeakNormalisationCalculator - Class in org.openimaj.audio.analysis
-
Calculates the scalar necessary to achieve peak value of the loudest part of
the given input signal.
- PeakNormalisationCalculator() - Constructor for class org.openimaj.audio.analysis.PeakNormalisationCalculator
-
- peakThreshold - Variable in class org.openimaj.image.feature.local.detector.dog.extractor.DominantOrientationExtractor
-
Threshold for peak detection.
- peakThreshold - Variable in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Threshold for peak detection in the orientation histogram.
- peek(String) - Method in class backtype.storm.spout.KestrelThriftClient
-
- peek(String, AsyncMethodCallback<Kestrel.AsyncClient.peek_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- peek(String, AsyncMethodCallback<Kestrel.AsyncClient.peek_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- peek(String) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- peek(String) - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- peek(String) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Get the next value without popping it
- peek(String, int) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
The next value without popping it
- peek(String, Duration) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
The next value without popping it
- peek() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- peek() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Peak at the head of the queue.
- peek_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.peek_args
-
- peek_args(String) - Constructor for class net.lag.kestrel.thrift.Kestrel.peek_args
-
- peek_args(Kestrel.peek_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.peek_args
-
Performs a deep copy on other.
- peek_call(String, AsyncMethodCallback<Kestrel.AsyncClient.peek_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.peek_call
-
- peek_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.peek_result
-
- peek_result(QueueInfo) - Constructor for class net.lag.kestrel.thrift.Kestrel.peek_result
-
- peek_result(Kestrel.peek_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.peek_result
-
Performs a deep copy on other.
- peekByte(String) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Get the next value without popping it
- peekByte(String, int) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
The next value without popping it
- peekByte(String, Duration) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
The next value without popping it
- peekTail() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Retrieves, but does not remove, the tail of this queue, or returns
null if this queue is empty.
- penColour - Variable in class org.openimaj.image.Plotter
-
- Pendulum - Class in org.openimaj.workinprogress
-
- Pendulum() - Constructor for class org.openimaj.workinprogress.Pendulum
-
- PendulumNonTextured - Class in org.openimaj.workinprogress
-
- PendulumNonTextured() - Constructor for class org.openimaj.workinprogress.PendulumNonTextured
-
- penPosition - Variable in class org.openimaj.image.Plotter
-
- penThickness - Variable in class org.openimaj.image.Plotter
-
- PercentageEnergyComponentSelector(double) - Constructor for class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis.PercentageEnergyComponentSelector
-
Construct with the given percentage
- PercentageInliersStoppingCondition(double) - Constructor for class org.openimaj.math.model.fit.RANSAC.PercentageInliersStoppingCondition
-
Construct the stopping condition with the given percentage threshold
on the number of data points which must match for a model to be
considered a fit.
- PercentageInterraterAgreement - Class in org.openimaj.experiment.evaluation.agreement
-
Calculates the percentage interrater agreement for a given dataset between
two (and only two) raters.
- PercentageInterraterAgreement() - Constructor for class org.openimaj.experiment.evaluation.agreement.PercentageInterraterAgreement
-
- percentageOverlap(Rectangle) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
Compute the percentage by which the given rectangle overlaps this one.
- PerceptronClass - Enum in org.openimaj.ml.linear.learner.perceptron
-
- PerExampleMeanCenter - Class in org.openimaj.math.statistics.normalisation
-
Subtract the mean of each example vector from itself to normalise the vector.
- PerExampleMeanCenter() - Constructor for class org.openimaj.math.statistics.normalisation.PerExampleMeanCenter
-
- PerExampleMeanCenterVar - Class in org.openimaj.math.statistics.normalisation
-
Subtract the mean of each example vector from itself and divide by the
standard deviation to normalise the vector such that it has unit variance.
- PerExampleMeanCenterVar(double) - Constructor for class org.openimaj.math.statistics.normalisation.PerExampleMeanCenterVar
-
Construct with the given variance regularisation term.
- perform() - Method in interface org.openimaj.experiment.RunnableExperiment
-
Perform the experiment
- perform(HadoopTwitterTokenToolOptions) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.DFIDFTokenMode
-
- perform(HadoopTwitterTokenToolOptions) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenMatchMode
-
- perform(HadoopTwitterTokenToolOptions) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.PairwiseMutualInformationMode
-
- perform(HadoopTwitterTokenToolOptions) - Method in interface org.openimaj.hadoop.tools.twitter.token.mode.TwitterTokenMode
-
- perform() - Method in class org.openimaj.image.processing.face.recognition.benchmarking.CrossValidationBenchmark
-
- perform(Polyline) - Method in class org.openimaj.math.geometry.path.resample.LinearResampler
-
Apply the resampling operation in-place
- perform(double[]) - Static method in class org.openimaj.math.matrix.GramSchmidtProcess
-
- perform(Context) - Method in class org.openimaj.util.function.context.ContextOperationAdaptor
-
- perform(List<T>) - Method in class org.openimaj.util.function.ListOperation
-
- perform(T) - Method in interface org.openimaj.util.function.Operation
-
Perform the operation on the given object.
- performAction() - Method in interface org.openimaj.time.Sequencer.SequencedAction
-
Perform the sequenced action.
- performAnnotation(RawTextAnnotation) - Method in class org.openimaj.text.nlp.textpipe.annotators.AbstractPhraseAnnotator
-
- performAnnotation(RawTextAnnotation) - Method in class org.openimaj.text.nlp.textpipe.annotators.AbstractPOSAnnotator
-
- performAnnotation(RawTextAnnotation) - Method in class org.openimaj.text.nlp.textpipe.annotators.AbstractSentenceAnnotator
-
- performAnnotation(RawTextAnnotation) - Method in class org.openimaj.text.nlp.textpipe.annotators.AbstractTokenAnnotator
-
- performBenchmark() - Method in class org.openimaj.tools.faces.recognition.FaceRecognitionCrossValidatorTool
-
- performBlendedProjection(int, int, int, int, Float) - Method in class org.openimaj.image.processing.transform.FProjectionProcessor
-
Perform blended projection but only request data for pixels within the windowed range provided.
- performBlendedProjection(int, int, int, int, Q) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Perform blended projection but only request data for pixels within the
windowed range provided.
- performCalibration(int, int) - Method in class org.openimaj.image.camera.calibration.CameraCalibration
-
- performCalibration(int, int) - Method in class org.openimaj.image.camera.calibration.CameraCalibrationZhang
-
- performClustering(DATA) - Method in interface org.openimaj.experiment.evaluation.cluster.processor.Clusterer
-
- performClustering(double[][]) - Method in class org.openimaj.ml.clustering.dbscan.DoubleNNDBSCAN
-
- performClustering(SparseMatrix) - Method in class org.openimaj.ml.clustering.dbscan.SparseMatrixDBSCAN
-
- performClustering(SparseMatrix) - Method in class org.openimaj.ml.clustering.incremental.IncrementalSparseClusterer
-
- performClustering(double[][]) - Method in class org.openimaj.ml.clustering.kdtree.DoubleKDTreeClusterer
-
- performClustering(byte[][]) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
- performClustering(double[][]) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- performClustering(T[]) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
- performClustering(List<T>) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Perform clustering on the given data.
- performClustering(float[][]) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
- performClustering(byte[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeans
-
- performClustering(double[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeans
-
- performClustering(float[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeans
-
- performClustering(int[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeans
-
- performClustering(long[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeans
-
- performClustering(short[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeans
-
- performClustering(int[][]) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
- performClustering(long[][]) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
- performClustering(short[][]) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
- performClustering(double[][]) - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
- performClustering(int[][]) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- performClustering(byte[][]) - Method in class org.openimaj.ml.clustering.random.RandomByteClusterer
-
- performClustering(SparseMatrix) - Method in class org.openimaj.ml.clustering.random.RandomClusterer
-
- performClustering(double[][]) - Method in class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
- performClustering(float[][]) - Method in class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
- performClustering(int[][]) - Method in class org.openimaj.ml.clustering.random.RandomIntClusterer
-
- performClustering(long[][]) - Method in class org.openimaj.ml.clustering.random.RandomLongClusterer
-
- performClustering(short[][]) - Method in class org.openimaj.ml.clustering.random.RandomShortClusterer
-
- performClustering(int[][]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- performClustering(List<SparseMatrix>) - Method in class org.openimaj.ml.clustering.spectral.DoubleMultiviewSpectralClustering
-
- performClustering(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- performClustering(Eigenvalues) - Method in class org.openimaj.ml.clustering.spectral.PreparedSpectralClustering
-
- performEvaluation(ListDataset<FDDBRecord>, FDDBEvaluation.EvaluationDetector) - Method in class org.openimaj.image.processing.face.detection.benchmarking.FDDBEvaluation
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.AustrianWordExperiments
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.BillAustrianDampeningExperiments
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.BillAustrianExperiments
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.BillAustrianExperimentsNormalised
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.BillWordInvestigation
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.LambdaSearchAustrian
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.RegretExperiment
-
- performExperiment() - Method in class org.openimaj.ml.linear.experiments.sinabill.StreamAustrianDampeningExperiments
-
- performInpainting(IMAGE) - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractFMMInpainter
-
- performInpainting(IMAGE) - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractImageMaskInpainter
-
Perform the inpainting of the given image
- performInpainting(IMAGE) - Method in class org.openimaj.workinprogress.EfrosLeungInpainter
-
- performInpainting(FImage) - Method in class org.openimaj.workinprogress.EfrosLeungInpainter
-
- performIteration(I, PointList) - Method in class org.openimaj.image.model.asm.ActiveShapeModel
-
Perform a single iteration of model fitting.
- performMeanShift() - Method in class org.openimaj.ml.clustering.meanshift.ExactMeanShift
-
- performMSERDetection(List<MergeTreeBuilder>, MSERFeatureGenerator.MSERDirection) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
Performs MSER detection on the trees provided.
- performPreprocessing() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
If there were any preprocessing arguments, perform the preprocessing and
use the preprocessing output as the input to the rest of the process.
- performProjection(int, int, int, int, Float) - Method in class org.openimaj.image.processing.transform.FProjectionProcessor
-
Perform projection but only request data for pixels within the windowed range provided.
- performProjection(int, int, MBFImage) - Method in class org.openimaj.image.processing.transform.MBFProjectionProcessor
-
- performProjection() - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Using all the images currently processed, perform the projection on each
image and draw every pixel with valid data.
- performProjection(Q) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Perform projection specifying the background colour (i.e.
- performProjection(boolean, Q) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Perform projection specifying the background colour (i.e.
- performProjection(int, int, int, int) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Perform projection but only request data for pixels within the windowed
range provided.
- performProjection(int, int, int, int, Q) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Perform projection but only request data for pixels within the windowed
range provided.
- performProjection(int, int, T) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Perform projection but only request data for pixels within the windowed
range provided.
- performTest() - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
Compute the similarities between faces in the query and target
- performWatershed(FImage) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
Perform the watershed algorithm on the given image.
- period - Variable in class org.openimaj.tools.reddit.TimeSplitMode
-
- PERIOD_END - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordTimeSeries
-
- PERIOD_START - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordTimeSeries
-
- PERSON_MODEL_PROP - Static variable in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPPersonAnnotator
-
Property name containing the person model
- PHASE_CORRELATION() - Constructor for class org.openimaj.video.processing.motion.MotionEstimatorAlgorithm.PHASE_CORRELATION
-
- phi - Variable in class org.openimaj.image.feature.local.interest.EllipticKeyPoint
-
- phi - Variable in class org.openimaj.pgm.vb.lda.mle.LDAVariationlState
-
the n'th unique word in a document's probability for each topic
- PHOG - Class in org.openimaj.image.feature.dense.gradient
-
This class is an implementation of an extractor for the PHOG (Pyramid
Histograms of Orientation Gradients) feature described by Bosch et al.
- PHOG() - Constructor for class org.openimaj.image.feature.dense.gradient.PHOG
-
Construct with the values used in the paper: 4 levels (corresponds to l=3
in the paper), 40 orientation bins (interpolated), signed gradients
(called "shape360" in the original paper) and Canny edge detection.
- PHOG(int, int, FImageGradients.Mode) - Constructor for class org.openimaj.image.feature.dense.gradient.PHOG
-
Construct with the given values, using Canny edge detection and gradient
histogram interpolation.
- PHOG(int, int, boolean, FImageGradients.Mode, ImageProcessor<FImage>) - Constructor for class org.openimaj.image.feature.dense.gradient.PHOG
-
Construct with the given parameters.
- PHOTONUI - Static variable in class org.openimaj.web.scraping.images.CommonHTMLConsumers
-
Consumer for photonui.com
- photos - Variable in class org.openimaj.image.dataset.FlickrImageDataset
-
- phrase - Variable in class org.openimaj.text.nlp.textpipe.annotations.PhraseAnnotation
-
- PHRASE_MODEL_PROP - Static variable in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPPhraseChunkAnnotator
-
The system property
- PhraseAnnotation - Class in org.openimaj.text.nlp.textpipe.annotations
-
An annotation representing a phrase as per the Penn Treebank.
- PhraseAnnotation(PhraseAnnotation.Phrase, boolean) - Constructor for class org.openimaj.text.nlp.textpipe.annotations.PhraseAnnotation
-
- PhraseAnnotation.Phrase - Enum in org.openimaj.text.nlp.textpipe.annotations
-
Penn Treebank phrase abbreviations.
- phraseChunk(List<TokenAnnotation>) - Method in class org.openimaj.text.nlp.textpipe.annotators.AbstractPhraseAnnotator
-
- phraseChunk(List<TokenAnnotation>) - Method in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPPhraseChunkAnnotator
-
- PI - Static variable in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
- PI - Static variable in class org.openimaj.image.processing.transform.AffineSimulation
-
- pickRandomFont() - Method in class org.openimaj.tools.ocr.FontSimulator
-
Picks a random font from your system and returns it.
- PICS_LOCKERZ - Static variable in class org.openimaj.web.scraping.images.CommonHTMLConsumers
-
Consumer for pics.lockerz.com
- PicSlurper - Class in org.openimaj.picslurper
-
A tool for slurping images off twitter
- PicSlurper(String[]) - Constructor for class org.openimaj.picslurper.PicSlurper
-
- PicSlurper() - Constructor for class org.openimaj.picslurper.PicSlurper
-
no args
- PicslurperTwitterHarness - Class in org.openimaj.picslurper
-
- PicSlurperUtils - Class in org.openimaj.picslurper
-
Functions for writing various parts of PicSlurper
- PicSlurperUtils() - Constructor for class org.openimaj.picslurper.PicSlurperUtils
-
- PictureSlide - Class in org.openimaj.content.slideshow
-
A slide that displays a picture, scaled to the size of the slide.
- PictureSlide(URL) - Constructor for class org.openimaj.content.slideshow.PictureSlide
-
Create a picture slide
- PictureSlide(MBFImage) - Constructor for class org.openimaj.content.slideshow.PictureSlide
-
Create a picture slide
- pictureSlide - Variable in class org.openimaj.content.slideshow.VideoSlide
-
- PiecewiseMeshWarp<T,I extends Image<T,I>> - Class in org.openimaj.image.processing.transform
-
Implementation of a piecewise warp.
- PiecewiseMeshWarp(List<Pair<Shape>>) - Constructor for class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
Construct the warp with a list of matching shapes (which must be either
quads or triangles).
- PINK - Static variable in class org.openimaj.image.colour.RGBColour
-
Pink colour as RGB
- PipePlayground - Class in org.openimaj.text.nlp.textpipe.annotations
-
Simple demo and play area.
- PipePlayground() - Constructor for class org.openimaj.text.nlp.textpipe.annotations.PipePlayground
-
- pitch - Variable in class org.openimaj.hardware.compass.CompassData
-
Pitch in degrees
- pivot - Variable in class org.openimaj.image.analysis.watershed.Component
-
The pivot pixel
- Pixel - Class in org.openimaj.image.pixel
-
Represents a pixel within an image, storing its coordinates.
- Pixel(int, int) - Constructor for class org.openimaj.image.pixel.Pixel
-
Construct a pixel with the given coordinates.
- Pixel() - Constructor for class org.openimaj.image.pixel.Pixel
-
Construct a pixel at the origin
- PixelAnalyser<Q> - Interface in org.openimaj.image.analyser
-
An interface for objects that are able to analyse individual pixels.
- PixelClassificationModel<Q,T extends Image<Q,T>> - Class in org.openimaj.image.model.pixel
-
Simple model for classifying pixels.
- PixelClassificationModel() - Constructor for class org.openimaj.image.model.pixel.PixelClassificationModel
-
- PixelProcessor<Q> - Interface in org.openimaj.image.processor
-
An interface for objects that are able to process individual pixels.
- PixelProfileModel<I extends Image<?,I>> - Interface in org.openimaj.image.pixel.statistics
-
Interface for classes capable of building "models"
of pixels along a line.
- pixels - Variable in class org.openimaj.image.FImage
-
The underlying pixels
- pixels - Variable in class org.openimaj.image.pixel.PixelSet
-
The set of pixels within this connected component
- PixelSet - Class in org.openimaj.image.pixel
-
A set of (not-necessarily connected) pixels within an image.
- PixelSet() - Constructor for class org.openimaj.image.pixel.PixelSet
-
Default constructor; makes an empty PixelSet
- PixelSet(int, int, int, int) - Constructor for class org.openimaj.image.pixel.PixelSet
-
- PixelSet(int[][]) - Constructor for class org.openimaj.image.pixel.PixelSet
-
Constructs a PixelSet from a mask image.
- PixelSet(FImage, float) - Constructor for class org.openimaj.image.pixel.PixelSet
-
Constructs a PixelSet from a mask image.
- PixelSet(Set<Pixel>) - Constructor for class org.openimaj.image.pixel.PixelSet
-
Construct a PixelSet from the given set of
Pixel
s.
- PixelsFeature - Class in org.openimaj.image.analysis.watershed.feature
-
PixelsFeature is used to dynamically create the ConnectedComponents
corresponding to MSERs.
- PixelsFeature() - Constructor for class org.openimaj.image.analysis.watershed.feature.PixelsFeature
-
- PixelShuffle - Class in org.openimaj.demos
-
- PixelShuffle() - Constructor for class org.openimaj.demos.PixelShuffle
-
- pixelTransformer - Variable in class org.openimaj.vis.timeline.TimelineObjectAdapter
-
The pixel transformer to use
- pkg - Variable in class org.openimaj.demos.Demos.DemoObject
-
- place - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- Placeholder(String) - Constructor for class org.openimaj.ml.linear.learner.LearningParameters.Placeholder
-
- play() - Method in class org.openimaj.video.VideoPlayer
-
Play the video.
- plotAudioWaveformImage(int, int, Float[], Float[]) - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation
-
Generates a waveform image that fits within the given width and height
and drawn in the given colour.
- plotBars(MBFImage, double[]) - Static method in class org.openimaj.vis.general.BarVisualisationBasic
-
Plot the given data to the given image.
- plotBars(double[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Plot the given data to the bar image.
- plotComponent(Component, BufferedImage, Color) - Static method in class org.openimaj.image.feature.local.detector.mser.gui.ComponentUtils
-
- plotComponentList(List<Component>, BufferedImage, Color) - Static method in class org.openimaj.image.feature.local.detector.mser.gui.ComponentUtils
-
- plotObject(MBFImage, XYPlotVisualisation.LocatedObject<BarVisualisation.Bar>, AxesRenderer2D<Float[], MBFImage>) - Method in class org.openimaj.vis.general.BarVisualisation
-
Plots a single bar into the visualisation.
- plotObject(MBFImage, XYPlotVisualisation.LocatedObject<DotPlotVisualisation.ColouredDot>, AxesRenderer2D<Float[], MBFImage>) - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
Plots a specific object to the visualisation using the
AxesRenderer2D
to
provide the position of the object.
- plotObject(GLAutoDrawable, XYZVisualisation3D.LocatedObject3D<DotPlotVisualisation.ColouredDot>, AxesRenderer3D) - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- plotObject(MBFImage, XYPlotVisualisation.LocatedObject<MBFImage>, AxesRenderer2D<Float[], MBFImage>) - Method in class org.openimaj.vis.general.ImageThumbnailPlotter
-
- plotObject(I, XYPlotVisualisation.LocatedObject<O>, AxesRenderer2D<Q, I>) - Method in interface org.openimaj.vis.general.ItemPlotter
-
Plots a specific object to the visualisation using the
AxesRenderer2D
to
provide the position of the object.
- plotObject(GLAutoDrawable, XYZVisualisation3D.LocatedObject3D<O>, AxesRenderer3D) - Method in interface org.openimaj.vis.general.ItemPlotter3D
-
Plots a specific object to the 3D visualisation using the
AxesRenderer3D
to
provide the position of the object.
- plotObject(MBFImage, XYPlotVisualisation.LocatedObject<LabelledPointVisualisation.LabelledDot>, AxesRenderer2D<Float[], MBFImage>) - Method in class org.openimaj.vis.general.LabelledPointVisualisation
-
Plots a specific object to the visualisation using the
AxesRenderer2D
to
provide the position of the object.
- plotObject(GLAutoDrawable, XYZVisualisation3D.LocatedObject3D<Rectangle3D>, AxesRenderer3D) - Method in class org.openimaj.vis.general.Rectangle3DPlotter
-
Plots a specific object to the 3D visualisation using the
AxesRenderer3D
to
provide the position of the object.
- plotObject(MBFImage, XYPlotVisualisation.LocatedObject<TimelineObject>, AxesRenderer2D<Float[], MBFImage>) - Method in class org.openimaj.vis.timeline.Timeline.TimelineObjectPlotter
-
Plots a specific object to the visualisation using the
AxesRenderer2D
to
provide the position of the object.
- Plotter<Q,I extends Image<Q,I>> - Class in org.openimaj.image
-
A simple 2d plotter
- Plotter(I) - Constructor for class org.openimaj.image.Plotter
-
Construct a plotter that writes to the given image.
- Plotter(I, Q) - Constructor for class org.openimaj.image.Plotter
-
Construct a plotter that writes to the given image with the
given initial pen colour.
- Plotter(I, Q, int) - Constructor for class org.openimaj.image.Plotter
-
Construct a plotter that writes to the given image.
- plotter - Variable in class org.openimaj.vis.general.XYPlotVisualisation
-
The item plotter to use
- plotter - Variable in class org.openimaj.vis.general.XYZVisualisation3D
-
The plotter for the items in the display
- plus(Matrix, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Add a constant to all values
- plusEquals(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Add a matrix to another inline.
- plusEqualsRow(Matrix, Matrix, int[]) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Add the rows to the mat at rowIndex.
- plusInplace(Matrix, double) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Add a constant to the matrix, returning the input matrix
- plusInplace(SparseMatrix, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Add two matrices, storing the results in the first:
A = A + B
- plusInplace(T, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Add two matrices, storing the results in the first:
A = A + B
- plusInplace(T, double) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Add a constant inplace A = A + d
- plusInplace(T, Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Subtract a vector from another vector A = A + D
- plusInplace(DiagonalMatrix, T) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Add two matrices, storing the results in the second:
A = D + A
- PlusOneDoubleArrayKernelPerceptron - Class in org.openimaj.ml.linear.learner.perceptron
-
An implementation of a simple
KernelPerceptron
which works with
double array inputs and is binary.
- PlusOneDoubleArrayKernelPerceptron(VectorKernel) - Constructor for class org.openimaj.ml.linear.learner.perceptron.PlusOneDoubleArrayKernelPerceptron
-
- pmi(double) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairUnaryCount
-
Calculate the Pointwise mutual information score such that:
PMI(x,y) = log( p(x,y) / ( p(x) p(y) ) )
where we can estimate the probabilities as:
p(x,y) = c(x,y) / n
p(x) = c(x) / n
p(y) = c(y) / n
where n is the total number of pairs observed
- PMI_NAME - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
the output name
- PMIPairSort - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort
-
Sort pairs by PMI within timeperiods
- PMIPairSort(double, Path) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
- PMIPairSort(double, int, Path) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
- PMISortKeyComparator - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort
-
Read a tokenpair and make sure the single words appear before the pair words
- PMISortKeyComparator() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortKeyComparator
-
- PMISortMapper - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort
-
- PMISortMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortMapper
-
does nothing
- PMISortPartitioner - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort
-
- PMISortPartitioner() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortPartitioner
-
- PMISortReducer - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort
-
- PMISortReducer() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortReducer
-
- PMISortValueGroupingComparator - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort
-
Read a tokenpair and make sure the single words appear before the pair words
- PMISortValueGroupingComparator() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortValueGroupingComparator
-
- Pmu - Static variable in class org.openimaj.image.processing.face.alignment.AffineAligner
-
Normalised positions of facial parts
- pnmReadHeader(byte[], Map<String, Integer>) - Static method in class org.openimaj.image.ImageUtilities
-
Reads a PNM header from the byte array containing the PNM binary data.
- pnorm(double[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the p-norm of the array
- pnorm(float[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the p-norm of the array
- pnorm(int[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the p-norm of the array
- pnorm(long[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the p-norm of the array
- pnorm(byte[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the p-norm of the array
- pnorm(short[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the p-norm of the array
- pnts - Variable in class org.openimaj.knn.approximate.ByteKDTreeEnsemble
-
The underlying data array
- pnts - Variable in class org.openimaj.knn.approximate.DoubleKDTreeEnsemble
-
The underlying data array
- pnts - Variable in class org.openimaj.knn.approximate.FloatKDTreeEnsemble
-
The underlying data array
- pnts - Variable in class org.openimaj.knn.approximate.IntKDTreeEnsemble
-
The underlying data array
- pnts - Variable in class org.openimaj.knn.approximate.LongKDTreeEnsemble
-
The underlying data array
- pnts - Variable in class org.openimaj.knn.approximate.ShortKDTreeEnsemble
-
The underlying data array
- pnts - Variable in class org.openimaj.knn.ByteNearestNeighboursExact
-
- pnts - Variable in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- pnts - Variable in class org.openimaj.knn.FloatNearestNeighboursExact
-
- pnts - Variable in class org.openimaj.knn.IntNearestNeighboursExact
-
- pnts - Variable in class org.openimaj.knn.LongNearestNeighboursExact
-
- pnts - Variable in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- pnts - Variable in class org.openimaj.knn.ShortNearestNeighboursExact
-
- point - Variable in class org.openimaj.math.geometry.shape.util.polygon.ItNode
-
Point of intersection
- Point2d - Interface in org.openimaj.math.geometry.point
-
Interface representing a point in 2d space with x and y coordinates.
- Point2dImpl - Class in org.openimaj.math.geometry.point
-
Simple concrete implementation of a two dimensional point.
- Point2dImpl(float, float) - Constructor for class org.openimaj.math.geometry.point.Point2dImpl
-
Construct a Point2dImpl with the given (x, y) coordinates
- Point2dImpl(Point2d) - Constructor for class org.openimaj.math.geometry.point.Point2dImpl
-
Construct a Point2dImpl with the (x,y) coordinates given via another
point.
- Point2dImpl() - Constructor for class org.openimaj.math.geometry.point.Point2dImpl
-
Construct a Point2dImpl at the origin.
- Point2dImpl(Coordinate) - Constructor for class org.openimaj.math.geometry.point.Point2dImpl
-
- Point2dImpl(double, double) - Constructor for class org.openimaj.math.geometry.point.Point2dImpl
-
Construct a Point2dImpl with the given (x, y) coordinates.
- Point3d - Interface in org.openimaj.math.geometry.point
-
Interface representing a point in 3d space with x and y coordinates
- Point3dImpl - Class in org.openimaj.math.geometry.point
-
Simple concrete implementation of a three dimensional point.
- Point3dImpl(double, double, double) - Constructor for class org.openimaj.math.geometry.point.Point3dImpl
-
Construct a Point3dImpl with the given (x, y, z) coordinates
- Point3dImpl(double[]) - Constructor for class org.openimaj.math.geometry.point.Point3dImpl
-
Construct a Point3dImpl with the given (x, y, z) coordinates packed into
an array
- Point3dImpl(Point3d) - Constructor for class org.openimaj.math.geometry.point.Point3dImpl
-
Construct a Point3dImpl with the (x,y,z) coordinates given via another
point.
- Point3dImpl() - Constructor for class org.openimaj.math.geometry.point.Point3dImpl
-
Construct a Point3dImpl at the origin.
- PointDistributionModel - Class in org.openimaj.math.geometry.shape
-
A 2d point distribution model learnt from a set of
PointList
s with
corresponding points (the ith point in each
PointList
is the same
landmark).
- PointDistributionModel(List<PointList>) - Constructor for class org.openimaj.math.geometry.shape.PointDistributionModel
-
- PointDistributionModel(PointDistributionModel.Constraint, List<PointList>) - Constructor for class org.openimaj.math.geometry.shape.PointDistributionModel
-
- PointDistributionModel.BoxConstraint - Class in org.openimaj.math.geometry.shape
-
A constraint that ensures that each individual element of the scaling
vector is within +/- x standard deviations of the model.
- PointDistributionModel.Constraint - Interface in org.openimaj.math.geometry.shape
-
Interface for modelling constraints applied to the scaling vector of
PointDistributionModel
s so that generated models are plausible.
- PointDistributionModel.EllipsoidConstraint - Class in org.openimaj.math.geometry.shape
-
Constrain the scaling vector to a hyper-ellipsoid.
- PointDistributionModel.NullConstraint - Class in org.openimaj.math.geometry.shape
-
A constraint that does nothing.
- PointFilter - Class in org.openimaj.image.processing.resize.filters
-
Point filter for the resampling function
- PointFilter() - Constructor for class org.openimaj.image.processing.resize.filters.PointFilter
-
- PointList - Class in org.openimaj.math.geometry.point
-
- PointList(Point2d...) - Constructor for class org.openimaj.math.geometry.point.PointList
-
- PointList(Collection<? extends Point2d>) - Constructor for class org.openimaj.math.geometry.point.PointList
-
- PointList(Collection<? extends Point2d>, boolean) - Constructor for class org.openimaj.math.geometry.point.PointList
-
Construct a
PointList
from the points, possibly copying the
points first
- PointListConnections - Class in org.openimaj.math.geometry.point
-
Class to model the connections between points in a
PointList
.
- PointListConnections() - Constructor for class org.openimaj.math.geometry.point.PointListConnections
-
Default constructor.
- PointListConnections(PointList, List<Line2d>) - Constructor for class org.openimaj.math.geometry.point.PointListConnections
-
- points - Variable in class org.openimaj.image.camera.calibration.CameraCalibrationZhang
-
- points - Variable in class org.openimaj.math.geometry.point.PointList
-
- points - Variable in class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
- pointsFound() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- polannsrc - Variable in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Clue
-
The source of this polarity
- polarity - Variable in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Clue
-
the polarity of the clue
- poll() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- poll(long, TimeUnit) - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- poll(long, TimeUnit) - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Retrieves and removes the head of this queue, waiting up to the specified
wait time if necessary for an element to become available.
- poll() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Poll the head of the queue.
- pollTail() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Retrieves and remove the tail of this queue, or returns null if
this queue is empty.
- Polygon - Class in org.openimaj.math.geometry.shape
-
A polygon, modelled as a list of vertices.
- Polygon() - Constructor for class org.openimaj.math.geometry.shape.Polygon
-
Constructs an empty polygon to which vertices may be added.
- Polygon(boolean) - Constructor for class org.openimaj.math.geometry.shape.Polygon
-
Constructs an empty polygon to which vertices may be added.
- Polygon(Point2d...) - Constructor for class org.openimaj.math.geometry.shape.Polygon
-
Construct a Polygon from vertices
- Polygon(Collection<? extends Point2d>) - Constructor for class org.openimaj.math.geometry.shape.Polygon
-
Construct a Polygon from vertices
- Polygon(Collection<? extends Point2d>, boolean) - Constructor for class org.openimaj.math.geometry.shape.Polygon
-
Construct a Polygon from the vertices, possibly copying the vertices
first
- PolygonNode - Class in org.openimaj.math.geometry.shape.util.polygon
-
Internal contour / tristrip type
- PolygonNode(PolygonNode, double, double) - Constructor for class org.openimaj.math.geometry.shape.util.polygon.PolygonNode
-
- PolygonUtils - Class in org.openimaj.math.geometry.shape.util
-
PolygonUtils
is a Java version of the General Polygon Clipper
algorithm developed by Alan Murta (gpc@cs.man.ac.uk).
- PolygonUtils() - Constructor for class org.openimaj.math.geometry.shape.util.PolygonUtils
-
Creates a new instance of PolygonUtils
- PolyHashComposition<OBJECT> - Class in org.openimaj.lsh.composition
-
HashComposition
that uses a polynomial function to combine the
individual hashes.
- PolyHashComposition(List<HashFunction<OBJECT>>) - Constructor for class org.openimaj.lsh.composition.PolyHashComposition
-
Construct with the given functions.
- PolyHashComposition(HashFunction<OBJECT>, HashFunction<OBJECT>...) - Constructor for class org.openimaj.lsh.composition.PolyHashComposition
-
Construct with the given functions.
- PolyHashComposition(HashFunctionFactory<OBJECT>, int) - Constructor for class org.openimaj.lsh.composition.PolyHashComposition
-
Construct with the factory which is used to produce the required number
of functions.
- Polyline - Class in org.openimaj.math.geometry.path
-
A polyline is a
Path2d
implicitly made up of
Line2d
segments
based on the assumption of ordered points held in a
PointList
.
- Polyline(Point2d...) - Constructor for class org.openimaj.math.geometry.path.Polyline
-
- Polyline(List<? extends Point2d>) - Constructor for class org.openimaj.math.geometry.path.Polyline
-
- Polyline(List<? extends Point2d>, boolean) - Constructor for class org.openimaj.math.geometry.path.Polyline
-
Construct a
Polyline
from the points, possibly copying the points
first
- Polyline(Iterator<Line2d>) - Constructor for class org.openimaj.math.geometry.path.Polyline
-
- polyMatchToPointsMatch(Polygon, Polygon) - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
- PolyphonicSynthesizer - Class in org.openimaj.audio.generation
-
A class that uses a pool of synthesizers for creating a polyphonic
synthesizer.
- PolyphonicSynthesizer(int) - Constructor for class org.openimaj.audio.generation.PolyphonicSynthesizer
-
Constructor
- port - Variable in class org.openimaj.kestrel.KestrelServerSpec
-
the kestrel host port
- pos - Variable in class org.openimaj.text.nlp.textpipe.annotations.POSAnnotation
-
- pos(List<String>) - Method in class org.openimaj.text.nlp.textpipe.annotators.AbstractPOSAnnotator
-
- pos(List<String>) - Method in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPPOSAnnotator
-
- pos_lookahead(String) - Static method in class org.openimaj.text.util.RegexUtil
-
- POS_MODEL_DEFAULT - Static variable in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPPOSAnnotator
-
- POS_MODEL_PROP - Static variable in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPPOSAnnotator
-
Name of system property pointing to the POS model
- POSAnnotation - Class in org.openimaj.text.nlp.textpipe.annotations
-
Part of Speech Annotation based on the Penn treebank.
- POSAnnotation(POSAnnotation.PartOfSpeech) - Constructor for class org.openimaj.text.nlp.textpipe.annotations.POSAnnotation
-
- POSAnnotation.PartOfSpeech - Enum in org.openimaj.text.nlp.textpipe.annotations
-
Penn Treebank part of speech types.
- pose - Variable in class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult
-
The model pose from model coordinates to image coordinates
- poses - Variable in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Clue
-
The parts of speech of each word
- position - Variable in class org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint
-
The position of the keypoint in the image
- positionNamed(String, int, int) - Static method in class org.openimaj.image.DisplayUtilities
-
Set the position of a named window.
- positive - Variable in class org.openimaj.image.processing.morphology.StructuringElement
-
Set of positive pixels in the structuring element
- POSITIVE - Static variable in class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
a positive sentiment instance
- positive() - Method in class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
- POSITIVE - Static variable in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
A single positive count
- positive() - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- positive() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- positive(double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- POSITIVE_CLASS - Static variable in class org.openimaj.ml.annotation.svm.SVMAnnotator
-
The input to the SVM model for positive classes
- positiveBinaryPattern - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- positiveRe - Static variable in class org.openimaj.web.readability.Readability.Regexps
-
- Post - Interface in orgrdfs.sioc.ns
-
An article or message that can be posted to a Forum.
- postFilterOptionsOp - Variable in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
the postfiltering to perform
- PostImpl - Class in orgrdfs.sioc.ns
-
An article or message that can be posted to a Forum.
- PostImpl() - Constructor for class orgrdfs.sioc.ns.PostImpl
-
- postings - Variable in class org.openimaj.twitter.USMFStatus.User
-
Number of postings made
- postProcess - Variable in class org.openimaj.tools.cbir.VLADIndexerBuilder
-
- postProcessesSkip(USMFStatus) - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
Check the internal postprocessing filters and say whether a given status
should be skipped
- Pow - Class in org.openimaj.image.processing.algorithm
-
Process pixels by raising there value to a value
- Pow(double) - Constructor for class org.openimaj.image.processing.algorithm.Pow
-
Construct with the default power
- pow(Matrix, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Return a copy of the matrix with all the values raised to a power.
- PowerCepstrumTransform - Class in org.openimaj.audio.analysis
-
An implementation of the power cepstrum of an audio signal.
- PowerCepstrumTransform() - Constructor for class org.openimaj.audio.analysis.PowerCepstrumTransform
-
- powInplace(T, double) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Bring each element to the power d
- powInplace(T, double) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Bring each element to the power d
- powInplace(T, double) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Raise each element to the power d, operating on the matrix itself
- pq - Variable in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- pq - Variable in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- PQUtils - Class in org.openimaj.rdf.utils
-
Some tools for playing with ParameterizedSparqlString
instances
- PQUtils() - Constructor for class org.openimaj.rdf.utils.PQUtils
-
- pre() - Method in class org.openimaj.processing.OpenIMAJ
-
- precalc() - Method in interface org.openimaj.vis.DataUnitsTransformer
-
Force a precalculation of the variables required for
the pixel transformation.
- precalc() - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Config may be null as it is not used.
- precalc() - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- precalc() - Method in class org.openimaj.vis.general.AxisRenderer
-
Perform any precalculations that will allow the axes to
be drawn faster, or to allow the data transformer to work.
- precalc() - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- precision(int) - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
Returns the precision of the retrieval at a given number of documents retrieved.
- precision() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
- precision - Variable in class org.openimaj.tools.clusterquantiser.ClusterType.ClusterTypeOp
-
The precision of the clusters
- Precision - Enum in org.openimaj.tools.clusterquantiser
-
Precisions for holding centroids
- precisionAtFixedPoints() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
- precisionAtFixedPoints() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- PrecisionAtN<QUERY,DOCUMENT extends Identifiable> - Class in org.openimaj.experiment.evaluation.retrieval.analysers
-
RetrievalAnalyser
that computes the precision after N documents have
been retrieved (P@N).
- PrecisionAtN(int) - Constructor for class org.openimaj.experiment.evaluation.retrieval.analysers.PrecisionAtN
-
Construct with the given N.
- PrecisionAtNResult<QUERY> - Class in org.openimaj.experiment.evaluation.retrieval.analysers
-
- PrecisionAtNResult(int) - Constructor for class org.openimaj.experiment.evaluation.retrieval.analysers.PrecisionAtNResult
-
Construct with the given N.
- PredefinedStrategy - Enum in org.openimaj.tools.faces
-
- Predicate - Annotation Type in org.openimaj.rdf.serialize
-
An annotation for members of classes that can be serialized as relationships
in an RDF graph by the
RDFSerializer
, this annotation should provide
the URI of the predicate to use for the field.
- Predicate<T> - Interface in org.openimaj.util.function
-
A
Predicate
is used to apply a boolean test to a particular object to
see if it passes some criteria.
- predict(T) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
-
- predict(T) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
-
- predict(Point2d) - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel
-
- predict(Point3d) - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel3d
-
- predict(Point2d) - Method in class org.openimaj.math.geometry.transforms.FundamentalModel
-
- predict(Point2d) - Method in class org.openimaj.math.geometry.transforms.HomographyModel
-
- predict(T) - Method in class org.openimaj.math.geometry.transforms.NullModel
-
- predict(double[]) - Method in class org.openimaj.math.model.GaussianVectorNaiveBayesModel
-
- predict(Integer) - Method in class org.openimaj.math.model.LeastSquaresLinearModel
-
- predict(I) - Method in interface org.openimaj.math.model.Model
-
Uses the model to predict dependent data from an independent value.
- predict(Double) - Method in class org.openimaj.math.model.UnivariateGaussianNaiveBayesModel
-
- predict(double[]) - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Predict the class (the index of the most-probable gaussian) to which the
given data point belongs.
- predict(Matrix) - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- predict(Map<String, Map<String, Double>>) - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- predict(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- predict(INDEPENDANT) - Method in interface org.openimaj.ml.linear.learner.OnlineLearner
-
- predict(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.DoubleArrayKernelPerceptron
-
- predict(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.OISVM
-
- predict(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.SimplePerceptron
-
- predict(double[]) - Method in class org.openimaj.ml.linear.learner.perceptron.ThresholdDoubleArrayKernelPerceptron
-
- predict(double[]) - Method in class org.openimaj.ml.neuralnet.OnlineBackpropOneHidden
-
- predict(double[]) - Method in class org.openimaj.ml.regression.LinearRegression
-
- predict(Matrix) - Method in class org.openimaj.ml.regression.LinearRegression
-
Helper function which adds the constant component to x and returns
predicted values for y, one per row
- predict(int, int, int) - Method in class org.openimaj.workinprogress.GD_SVD2
-
- predictLogPosterior(double[]) - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Predict the log-posterior for the given sample; this is the
log-probability of the sample point belonging to each of the gaussians in
the mixture.
- predictLogPosterior(double[][]) - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Predict the log-posterior for the given samples; this is the
log-probability of each sample point belonging to each of the gaussians
in the mixture.
- Preemphasiser - Class in org.openimaj.audio.filters
-
A simple preemphasiser that applies a high-pass filter to the the audio
for speech signals.
- Preemphasiser() - Constructor for class org.openimaj.audio.filters.Preemphasiser
-
Default constructor
- Preemphasiser(double) - Constructor for class org.openimaj.audio.filters.Preemphasiser
-
Constructor that takes the emphasis factor.
- Preemphasiser(AudioStream) - Constructor for class org.openimaj.audio.filters.Preemphasiser
-
Chainiable constructor
- Preemphasiser(AudioStream, double) - Constructor for class org.openimaj.audio.filters.Preemphasiser
-
Chainable constructor that takes the emphasis factor.
- PREFERRED_DEVICE_NAME - Static variable in class org.openimaj.content.slideshow.CameraSelector
-
The name of the preferred device
- prefilterFC - Variable in class org.openimaj.image.feature.global.Gist
-
The number of cycles per image for the pre-filter Gaussian
- preFilterOptionsOp - Variable in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
The prefiltering to perform
- premain(String, Instrumentation) - Static method in class org.openimaj.citation.CitationAgent
-
JVM hook to statically load the javaagent at startup.
- premain(String, Instrumentation) - Static method in class org.openimaj.experiment.agent.ExperimentAgent
-
JVM hook to statically load the javaagent at startup.
- prepare(Map, TopologyContext, OutputCollector) - Method in class backtype.storm.spout.TestTopology.FailEveryOther
-
- prepare(boolean) - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloaderOptions
-
Prepare the options
- prepare() - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIFOptions
-
- prepare() - Method in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- prepare() - Method in class org.openimaj.hadoop.tools.localfeature.HadoopLocalFeaturesToolOptions
-
Prepare the options
- prepare() - Method in class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexerOptions
-
- prepare() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
- prepare(FImage) - Method in class org.openimaj.image.objectdetection.hog.HOGClassifier
-
- prepare(String[]) - Method in class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader
-
- prepare(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.AbsoluteValueEigenChooser
-
- prepare(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.ChangeDetectingEigenChooser
-
- prepare(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.EigenChooser
-
Make a coarse decision of the number of eigen vectors to extract in the first place
with the knowledge of the eigen values that will likely be important
- prepare(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.HardCodedEigenChooser
-
- prepare(Corpus) - Method in class org.openimaj.pgm.vb.lda.mle.LDAModel
-
- prepare(int) - Method in class org.openimaj.pgm.vb.lda.mle.LDAModel
-
initialises the sufficient statistic holder based on ntopics and
the vocabularySize.
- prepare(Document) - Method in class org.openimaj.pgm.vb.lda.mle.LDAVariationlState
-
initialises the phi and sets everything to 0
- prepare(Map, TopologyContext, OutputCollector) - Method in class org.openimaj.picslurper.DownloadBolt
-
- prepare() - Method in interface org.openimaj.picslurper.output.OutputListener
-
start things off
- prepare() - Method in class org.openimaj.picslurper.output.TrendDetectionOutputListener
-
- prepare() - Method in class org.openimaj.picslurper.output.ZMQOutputListener
-
- prepare() - Method in class org.openimaj.picslurper.PicSlurper
-
prepare the tool for running
- prepare(Map, TopologyContext) - Method in class org.openimaj.picslurper.PrintBolt
-
- prepare() - Method in class org.openimaj.picslurper.StormPicSlurper
-
prepare the tool for running
- prepare(Map, TopologyContext, OutputCollector) - Method in class org.openimaj.storm.bolt.CountingEmittingBolt
-
- prepare(Map, TopologyContext, OutputCollector) - Method in class org.openimaj.storm.bolt.PrintingBolt
-
- prepare(Map, TopologyContext, OutputCollector) - Method in class org.openimaj.storm.StormPlayground.JoinBolt
-
- prepare() - Method in class org.openimaj.storm.tool.StormToolOptions
-
Parse arguments and validate
- prepare(Map, TopologyContext, OutputCollector) - Method in class org.openimaj.storm.tools.twitter.bolts.BaseTwitterRichBolt
-
- prepare() - Method in class org.openimaj.storm.tools.twitter.bolts.BaseTwitterRichBolt
-
- prepare() - Method in class org.openimaj.storm.tools.twitter.bolts.TweetPreprocessingBolt
-
- prepare() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
Prepare options by parsing arguments
- prepare() - Method in class org.openimaj.tools.reddit.RedditHarvesterOptions
-
prepare the tool for running
- prepare() - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
prepare the tool for running
- prepareCL() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
prepare the tool for running (command line version)
- prepareConfig() - Method in class org.openimaj.storm.tool.StormToolOptions
-
- prepareConsoleLogger() - Static method in class org.openimaj.logger.LoggerUtils
-
Prepare a console logger with a default layout.
- prepareData(FImage, int, int, boolean) - Static method in class org.openimaj.image.processing.algorithm.FourierTransform
-
Prepare data for a input to the FFT, padding if necessary.
- prepareData(float[][], int, int, boolean) - Static method in class org.openimaj.image.processing.algorithm.FourierTransform
-
Prepare data for a input to the FFT, padding if necessary.
- prepareData1d(FImage, int, int, boolean) - Static method in class org.openimaj.image.processing.algorithm.FourierTransform
-
Prepare data for a input to the FFT, padding if necessary.
- prepareData1d(float[][], int, int, boolean) - Static method in class org.openimaj.image.processing.algorithm.FourierTransform
-
Prepare data for a input to the FFT, padding if necessary.
- PreparedSpectralClustering - Class in org.openimaj.ml.clustering.spectral
-
For a given set of
Eigenvalues
perform the stages of spectral
clustering which involve the selection of the best eigen values and the
calling of an internal clustering algorithm
- PreparedSpectralClustering(SpectralClusteringConf<double[]>) - Constructor for class org.openimaj.ml.clustering.spectral.PreparedSpectralClustering
-
- prepareExperiment() - Method in class org.openimaj.twitter.experiments.langid.TrueLanguageExperiment
-
Load the tweets needed for this experiment
- prepareExperimentLog(BilinearLearnerParameters) - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- prepareExperimentLog() - Method in class org.openimaj.ml.linear.experiments.sinabill.LambdaSearchAustrian
-
- prepareExperimentRoot() - Method in class org.openimaj.ml.linear.experiments.sinabill.BilinearExperiment
-
- prepareExperimentRoot() - Method in class org.openimaj.ml.linear.experiments.sinabill.LambdaSearchAustrian
-
- prepareFeats() - Method in class org.openimaj.ml.clustering.spectral.DoubleFVSimilarityFunction
-
- prepareInterestPoints(FImage) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- prepareMultivaluedArgument(List<T>, T...) - Static method in class org.openimaj.tools.InOutToolOptions
-
Fixes a problem with args4j with multivalued arguments being preserved
within the same JVM
- prepareTemplate(FImage) - Method in enum org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode
-
Prepare the template if necessary.
- prepareURLs(URL) - Method in class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection.Generic
-
- prepareURLs(URL) - Method in class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection
-
- prepareURLs(URL) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection
-
- prepareWorkingSpace(FImage) - Method in enum org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode
-
Prepare an object to hold the working space required by the
mode during score computation.
- prepArticle(Element) - Method in class org.openimaj.web.readability.Readability
-
Prepare the article node for display.
- prepDocument() - Method in class org.openimaj.web.readability.Readability
-
Prepare the HTML document for readability to scrape it.
- prepend(SampleChunk) - Method in class org.openimaj.audio.SampleChunk
-
Prepends the given samples to the front of this sample chunk.
- preProcessesSkip(USMFStatus) - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
Check the internal preprocessing filters and say whether a given status
should be skipped
- preprocessingMode() - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- PrettyPrint - Class in org.openimaj.tools.similaritymatrix.modes
-
- PrettyPrint() - Constructor for class org.openimaj.tools.similaritymatrix.modes.PrettyPrint
-
- prev - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Previous edge in the AET
- prev - Variable in class org.openimaj.math.geometry.shape.util.polygon.StNode
-
Previous edge in sorted list
- PREV_INDEX(int, int) - Static method in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
- previous() - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- previous_by_date - Variable in class orgrdfs.sioc.ns.ItemImpl
-
Previous Item or Post in a given Container sorted by date.
- previous_version - Variable in class orgrdfs.sioc.ns.ItemImpl
-
Links to the previous revision of this Item or Post.
- previousPyramidSet() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- prevPow2(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Returns the closest power-of-two number less than or equal to x.
- PrincipalComponentAnalysis - Class in org.openimaj.math.matrix.algorithm.pca
-
Abstract base class for PCA implementations.
- PrincipalComponentAnalysis() - Constructor for class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
- PrincipalComponentAnalysis.ComponentSelector - Interface in org.openimaj.math.matrix.algorithm.pca
-
Interface for classes capable of selecting a subset of the PCA components
- PrincipalComponentAnalysis.EnergyThresholdComponentSelector - Class in org.openimaj.math.matrix.algorithm.pca
-
- PrincipalComponentAnalysis.NumberComponentSelector - Class in org.openimaj.math.matrix.algorithm.pca
-
- PrincipalComponentAnalysis.PercentageEnergyComponentSelector - Class in org.openimaj.math.matrix.algorithm.pca
-
- print() - Method in class org.openimaj.math.geometry.shape.util.polygon.AetTree
-
- print() - Method in class org.openimaj.math.geometry.shape.util.polygon.LmtTable
-
- print() - Method in class org.openimaj.math.geometry.shape.util.polygon.TopPolygonNode
-
- PrintBolt - Class in org.openimaj.picslurper
-
- PrintBolt() - Constructor for class org.openimaj.picslurper.PrintBolt
-
- printClassificationQuality(LabelledDataProvider, List<ObjectFloatPair<StumpClassifier>>, float) - Method in class org.openimaj.ml.classification.boosting.AdaBoost
-
- printFile(V) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- printFile(BytesWritable) - Method in class org.openimaj.hadoop.sequencefile.TextBytesSequenceFileUtility
-
- printFile(BytesWritable) - Method in class org.openimaj.hadoop.tools.fastkmeans.IntBytesSequenceMemoryUtility
-
- printFile(BytesWritable) - Method in class org.openimaj.hadoop.tools.fastkmeans.TextBytesSequenceMemoryUtility
-
- PrintingBolt - Class in org.openimaj.storm.bolt
-
A simple bolt that prints what it sees
- PrintingBolt() - Constructor for class org.openimaj.storm.bolt.PrintingBolt
-
- printStructureTensorStats() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- printTiming() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- printTiming() - Method in class org.openimaj.tools.localfeature.options.BaseExtractorOptions
-
- PriorChooser - Class in org.openimaj.ml.annotation.basic.util
-
Choose the number of annotations based on the numbers of annotations
of each training example.
- PriorChooser() - Constructor for class org.openimaj.ml.annotation.basic.util.PriorChooser
-
- ProbabilisticMinInliersStoppingCondition(double, double, double) - Constructor for class org.openimaj.math.model.fit.RANSAC.ProbabilisticMinInliersStoppingCondition
-
Default constructor.
- ProbabilisticMinInliersStoppingCondition(double) - Constructor for class org.openimaj.math.model.fit.RANSAC.ProbabilisticMinInliersStoppingCondition
-
Constructor with defaults for bad inlier probability and percentage
inliers.
- process(SampleChunk) - Method in class org.openimaj.audio.analysis.BeatDetector
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.analysis.EffectiveSoundPressure
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.analysis.FourierTransform
-
Function that takes a sample chunk and processes the chunk.
- process(SampleBuffer) - Method in class org.openimaj.audio.analysis.FourierTransform
-
Process the given sample buffer
- process(SampleChunk) - Method in class org.openimaj.audio.analysis.PeakNormalisationCalculator
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.analysis.PowerCepstrumTransform
-
- process(SampleChunk) - Method in class org.openimaj.audio.conversion.AudioConverter
-
- process(SampleChunk, AudioFormat) - Method in enum org.openimaj.audio.conversion.BitDepthConverter.BitDepthConversionAlgorithm
-
Process a sample chunk and output a sample chunk in the given
output format.
- process(SampleChunk) - Method in class org.openimaj.audio.conversion.BitDepthConverter
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.conversion.MultichannelToMonoProcessor
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.conversion.SampleRateConverter
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk, AudioFormat) - Method in enum org.openimaj.audio.conversion.SampleRateConverter.SampleRateConversionAlgorithm
-
Process a sample chunk and output a sample chunk in the given
output format.
- process(SampleBuffer) - Method in class org.openimaj.audio.features.JAudioFeatureExtractor
-
Process the given sample buffer.
- process(double[][], double) - Method in class org.openimaj.audio.features.JAudioFeatureExtractor
-
Process the given sample data.
- process(double[], double) - Method in class org.openimaj.audio.features.JAudioFeatureExtractor
-
Process the given sample array for a single channel
- process(SampleChunk) - Method in class org.openimaj.audio.features.JAudioFeatureExtractor
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.filters.EQFilter
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.filters.FeedForwardCombFilter
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.filters.FFTBandPassFilter
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.filters.FIRFilter
-
Function that takes a sample chunk and processes the chunk.
- process(float[][], AudioFormat) - Method in class org.openimaj.audio.filters.MelFilterBank
-
Process the input power spectrum with this filter bank.
- process(SampleChunk) - Method in class org.openimaj.audio.filters.MusicalNoteFilterBank
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.filters.MusicalNoteOnsetDetector
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.filters.Preemphasiser
-
Function that takes a sample chunk and processes the chunk.
- process(float[], AudioFormat) - Method in class org.openimaj.audio.filters.TriangularFilter
-
Requires a power spectrum and produces an output the filter
- process(SampleChunk) - Method in class org.openimaj.audio.filters.VolumeAdjustProcessor
-
- process(SampleChunk) - Method in class org.openimaj.audio.filters.WeightedWindowedAudioProcessor
-
Process the given sample chunk.
- process(SampleBuffer) - Method in class org.openimaj.audio.filters.WeightedWindowedAudioProcessor
-
Process the given sample buffer with the Hanning window.
- process(SampleChunk) - Method in class org.openimaj.audio.FrequencyAudioSource
-
- process(AudioStream) - Method in class org.openimaj.audio.processor.AudioProcessor
-
Function to process a whole audio stream.
- process(SampleChunk) - Method in class org.openimaj.audio.processor.AudioProcessor
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Function that takes a sample chunk and processes the chunk.
- process(Set<? extends TypeElement>, RoundEnvironment) - Method in class org.openimaj.citation.annotation.processor.ReferenceProcessor
-
- process(IMAGE) - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianOctave
-
- process(I) - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramid
-
- process(IMAGE) - Method in class org.openimaj.image.analysis.pyramid.Octave
-
Populate the octave, starting from the provided image.
- process(OCTAVE) - Method in interface org.openimaj.image.analysis.pyramid.OctaveProcessor
-
Process the provided octave.
- process(IMAGE) - Method in class org.openimaj.image.analysis.pyramid.Pyramid
-
Process the image and construct a pyramid applying any specified
OctaveProcessor and/or PyramidProcessor along the way.
- process(GaussianPyramid<IMAGE>) - Method in interface org.openimaj.image.analysis.pyramid.PyramidProcessor
-
Process the given pyramid.
- process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
- process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor
-
- process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.BoundaryDistanceDescriptor
-
- process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
- process(ConnectedComponent) - Method in class org.openimaj.image.connectedcomponent.proc.HuMoments
-
- process(GaussianOctave<I>) - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctave
-
- process(GaussianOctave<FImage>) - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
- process(GaussianOctave<MBFImage>) - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctave
-
- process(GaussianOctave<MBFImage>) - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
- process(GaussianOctave<FImage>) - Method in class org.openimaj.image.feature.local.detector.ipd.finder.OctaveInterestPointFinder
-
- process(OCTAVE) - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
- process(OCTAVE) - Method in class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveGridFinder
-
- process(GaussianOctave<FImage>) - Method in class org.openimaj.image.feature.local.detector.pyramid.InterpolatingOctaveExtremaFinder
-
- process(KernelProcessor<Float, FImage>) - Method in class org.openimaj.image.FImage
-
Process this image with the given
KernelProcessor
and return new
image containing the result.
- process(KernelProcessor<Float, FImage>, boolean) - Method in class org.openimaj.image.FImage
-
Process this image with the given
KernelProcessor
and return new
image containing the result.
- process(GridProcessor<Q, I>) - Method in class org.openimaj.image.Image
-
Process this image with the given
GridProcessor
and return new
image containing the result.
- process(ImageProcessor<I>) - Method in class org.openimaj.image.Image
-
Process this image with an
ImageProcessor
and return new image
containing the result.
- process(KernelProcessor<Q, I>) - Method in class org.openimaj.image.Image
-
Process this image with the given
KernelProcessor
and return new
image containing the result.
- process(KernelProcessor<Q, I>, boolean) - Method in class org.openimaj.image.Image
-
Process this image with the given
KernelProcessor
and return new
image containing the result.
- process(PixelProcessor<Q>) - Method in class org.openimaj.image.Image
-
Process this image with the given
PixelProcessor
and return a new
image containing the result.
- process(Processor<I>) - Method in class org.openimaj.image.Image
-
Process this image with an
Processor
and return new image
containing the result.
- process(SinglebandImageProcessor<T, S>) - Method in class org.openimaj.image.MultiBandImage
-
- process(SinglebandKernelProcessor<T, S>) - Method in class org.openimaj.image.MultiBandImage
- process(SinglebandKernelProcessor<T, S>, boolean) - Method in class org.openimaj.image.MultiBandImage
- process(SinglebandPixelProcessor<T>) - Method in class org.openimaj.image.MultiBandImage
-
- process(FImage) - Method in class org.openimaj.image.ocr.SimpleOCR
-
Extract the date-time from the given image
- process(Collection<ConnectedComponent>, ConnectedComponentProcessor) - Static method in class org.openimaj.image.pixel.ConnectedComponent
-
- process(ConnectedComponentProcessor) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
- process(GroupedDataset<PERSON, ? extends ListDataset<IMAGE>, IMAGE>, FaceDetector<FACE, IMAGE>) - Static method in class org.openimaj.image.processing.face.detection.DatasetFaceDetector
-
Apply a face detector to all the images in the given dataset, choosing
only the biggest face if multiple are found.
- process(List<IMAGE>, FaceDetector<FACE, IMAGE>) - Static method in class org.openimaj.image.processing.face.detection.DatasetFaceDetector
-
Apply a face detector to all the images in the given dataset, choosing
only the biggest face if multiple are found.
- process(ConnectedComponent) - Method in class org.openimaj.image.processing.morphology.Close
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processing.morphology.Dilate
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processing.morphology.Erode
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processing.morphology.HitAndMiss
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processing.morphology.Open
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processing.morphology.SequentialThin
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processing.morphology.Thicken
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processing.morphology.Thin
-
- process(ConnectedComponent) - Method in interface org.openimaj.image.processor.connectedcomponent.ConnectedComponentProcessor
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.AxisRenderer
-
Draws the principle axes of the connected component into the image.
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.BlobExtractorRenderer
-
Copies pixels that are within the connected component from the copyImage
into the write image.
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.BlobRenderer
-
Draws connected component into an image as a coloured blob.
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.BorderRenderer
-
Draws the boundary of the connected component into the image.
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.BoundingBoxRenderer
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.CentroidRenderer
-
Draws the component's centroid into the image as a small 5 pixel square
centred on the centroid.
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererMono
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererRGB
-
- process(ConnectedComponent) - Method in class org.openimaj.image.processor.connectedcomponent.render.OrientatedBoundingBoxRenderer
-
- process(SinglebandImageProcessor<T, S>) - Method in interface org.openimaj.image.processor.SinglebandImageProcessor.Processable
-
- process(SinglebandKernelProcessor<T, S>) - Method in interface org.openimaj.image.processor.SinglebandKernelProcessor.Processable
-
- process(SinglebandKernelProcessor<T, S>, boolean) - Method in interface org.openimaj.image.processor.SinglebandKernelProcessor.Processable
-
- process(int, int, int) - Method in interface org.openimaj.image.renderer.ScanRasteriser.ScanLineListener
-
Process the given scan
- process(KernelProcessor<Q, I>) - Method in class org.openimaj.image.SingleBandImage
-
Process this image with the given
KernelProcessor
and return new
image containing the result.
- process(KernelProcessor<Q, I>, boolean) - Method in class org.openimaj.image.SingleBandImage
-
Process this image with the given
KernelProcessor
and return new
image containing the result.
- process(SinglebandKernelProcessor<Q, I>) - Method in class org.openimaj.image.SingleBandImage
- process(SinglebandKernelProcessor<Q, I>, boolean) - Method in class org.openimaj.image.SingleBandImage
- process(SinglebandImageProcessor<Q, I>) - Method in class org.openimaj.image.SingleBandImage
-
- process(GaussianPyramid<FImage>) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale.PyramidTextExtractor
-
Process the given pyramid.
- process(SimilarityMatrix) - Method in class org.openimaj.math.matrix.similarity.processor.InvertData
-
- process(SimilarityMatrix) - Method in class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
- process(SimilarityMatrix) - Method in class org.openimaj.math.matrix.similarity.processor.NormaliseData
-
- process(SimilarityMatrix) - Method in interface org.openimaj.math.matrix.similarity.processor.SimilarityMatrixProcessor
-
- process(SimilarityMatrix) - Method in class org.openimaj.math.matrix.similarity.processor.Threshold
-
- process(SimilarityMatrixProcessor) - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Process a copy of this similarity matrix with the
given processor and return the copy.
- process(Matrix, Matrix) - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- process(Map<String, Map<String, Double>>, Map<String, Double>) - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- process(Matrix, Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- process(INDEPENDANT, DEPENDANT) - Method in interface org.openimaj.ml.linear.learner.OnlineLearner
-
- process(INDEPENDANT, DEPENDANT) - Method in class org.openimaj.ml.linear.learner.perceptron.KernelPerceptron
-
- process(double[], PerceptronClass) - Method in class org.openimaj.ml.linear.learner.perceptron.MarginMeanCenteredPerceptron
-
- process(double[], PerceptronClass) - Method in class org.openimaj.ml.linear.learner.perceptron.OISVM
-
- process(double[], Integer) - Method in class org.openimaj.ml.linear.learner.perceptron.SimplePerceptron
-
- process(DoubleTimeSeries) - Method in class org.openimaj.ml.timeseries.processor.GaussianTimeSeriesProcessor
-
- process(DoubleTimeSeries) - Method in class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- process(TS) - Method in class org.openimaj.ml.timeseries.processor.IntervalSummationProcessor
-
- process(DoubleTimeSeries) - Method in class org.openimaj.ml.timeseries.processor.LinearRegressionProcessor
-
- process(DoubleTimeSeries) - Method in class org.openimaj.ml.timeseries.processor.MovingAverageProcessor
-
- process(TIMESERIES) - Method in interface org.openimaj.ml.timeseries.processor.TimeSeriesProcessor
-
- process(DoubleTimeSeries) - Method in class org.openimaj.ml.timeseries.processor.WindowedLinearRegressionProcessor
-
- process(TimeSeriesProcessor<DATA, SINGLE_TYPE, RETURNTYPE>) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
process using the provided processor, return
- process(ImageCollectionEntry<T>) - Method in class org.openimaj.tools.imagecollection.processor.DirectoryImageProcessor
-
- process(ImageCollectionEntry<T>) - Method in class org.openimaj.tools.imagecollection.processor.ImageCollectionProcessor
-
- process(ImageCollectionEntry<T>) - Method in class org.openimaj.tools.imagecollection.processor.SequenceFileProcessor
-
- process(SimilarityMatrix, File) - Method in class org.openimaj.tools.similaritymatrix.modes.Binarize
-
- process(SimilarityMatrix, File) - Method in class org.openimaj.tools.similaritymatrix.modes.ConnectedComponents
-
- process(SimilarityMatrix, File) - Method in class org.openimaj.tools.similaritymatrix.modes.DensestSubgraph
-
- process(SimilarityMatrix, File) - Method in class org.openimaj.tools.similaritymatrix.modes.MDS
-
- process(SimilarityMatrix, File) - Method in class org.openimaj.tools.similaritymatrix.modes.PrettyPrint
-
- process(SimilarityMatrix, File) - Method in interface org.openimaj.tools.similaritymatrix.modes.ToolMode
-
- process(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.preprocessing.CountryCodeMode
-
- process(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.preprocessing.LanguageDetectionMode
-
- process(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.preprocessing.NERMode
-
- process(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.preprocessing.SentimentExtractionMode
-
- process(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.preprocessing.StemmingMode
-
- process(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.preprocessing.StopwordMode
-
- process(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.preprocessing.TokeniseMode
-
- process(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.preprocessing.TwitterPreprocessingMode
-
Alters the twitter status in place with the analysis that is required to
be performed
- process(File) - Method in class org.openimaj.tools.vis.QuantisedSIFTPatchExtractor
-
- process() - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Process the video.
- process(Video<T>) - Method in class org.openimaj.video.processor.VideoProcessor
-
Process the given video using this processor.
- process() - Method in class org.openimaj.video.processor.VideoProcessor
-
- process(SampleChunk) - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation.AudioOverviewGenerator
-
Function that takes a sample chunk and processes the chunk.
- process(SampleChunk) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Processes a single sample chunk: calculates the FFT, gets the magnitudes,
copies the format (if it's the first chunk), and then goes on to update the image.
- processAll(Status) - Method in class org.openimaj.picslurper.StatusConsumer
-
Process all added URLs
- processCorrelationMap(FImage, FImage, FImage) - Method in enum org.openimaj.image.analysis.algorithm.FourierTemplateMatcher.Mode
-
Process the cross-correlation image to the contain the relevant output values for the
chosen mode.
- processEndAction(VideoDisplay.EndAction) - Method in class org.openimaj.video.VideoDisplay
-
Process the end of the video action.
- ProcessException - Exception in org.openimaj.util.processes
-
An exception indicating an external process failed.
- ProcessException(String, Throwable) - Constructor for exception org.openimaj.util.processes.ProcessException
-
Constructs a new ProcessException with the specified detail message and
cause.
- ProcessException(Throwable) - Constructor for exception org.openimaj.util.processes.ProcessException
-
Constructs a new exception with the specified cause and a detail message
of (cause==null ? null : cause.toString()) (which typically
contains the class and detail message of cause).
- processExtrema(FImage[], int, int, int, float) - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveExtremaFinder
-
Perform any additional checks on the point, and then inform the listener
that a point has been found.
- processExtrema(FImage[], int, int, int, float) - Method in class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
- processExtrema(FImage[], int, int, int, float) - Method in class org.openimaj.image.feature.local.detector.pyramid.InterpolatingOctaveExtremaFinder
-
- processExtremaInternal(FImage[], int, int, int, float) - Method in class org.openimaj.image.feature.local.detector.pyramid.InterpolatingOctaveExtremaFinder
-
- processFeatureFile(File) - Method in class org.openimaj.tools.vis.QuantisedSIFTPatchExtractor
-
- processFeatureMap(FImage, FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Process a feature map.
- processFrame(T) - Method in class org.openimaj.video.analyser.VideoAnalyser
-
- processFrame(MBFImage) - Method in class org.openimaj.video.processing.effects.GreyscaleSlitScanProcessor
-
- processFrame(MBFImage) - Method in class org.openimaj.video.processing.effects.SlitScanProcessor
-
- processFrame(I) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Process a frame in this video.
- processFrame(I) - Method in class org.openimaj.video.processor.VideoFrameProcessor
-
Process a frame in this video.
- processFrame(T) - Method in class org.openimaj.video.processor.VideoProcessor
-
Process a frame in this video.
- processFrame(T) - Method in class org.openimaj.video.VideoWriter
-
Process a frame in this video.
- processFrame(MBFImage, Timecode) - Method in class org.openimaj.vis.video.ShotBoundaryVideoBarVisualisation
-
Process a particular frame of the data.
- processFrame(MBFImage, Timecode) - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Process a particular frame of the data.
- processFrame(MBFImage, Timecode) - Method in class org.openimaj.vis.video.VideoObjectVisualisation
-
Process a particular frame of the data.
- processFrame(IMAGE) - Method in class org.openimaj.workinprogress.AdaptiveMoGBackgroundEstimator
-
- processGridElement(I) - Method in interface org.openimaj.image.processor.GridProcessor
-
Process the given grid element (patch
) and returns
a single pixel value for that element.
- processImage(IMAGE) - Method in class org.openimaj.image.analysis.pyramid.SimplePyramid
-
- processImage(FImage) - Method in class org.openimaj.image.analysis.watershed.WatershedProcessor
-
Process the given image.
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.AnisotropicDiffusion
-
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.DifferenceOfGaussian
-
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.EqualisationProcessor
-
Equalise the colours in the image.
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.FourierCorrelation
-
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.LocalContrastFilter
-
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.MaskedRobustContrastEqualisation
-
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.MaxFilter
-
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.MeanCenter
-
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.MedianFilter
-
- processImage(FImage) - Method in class org.openimaj.image.processing.algorithm.MinFilter
-
- processImage(I) - Method in class org.openimaj.image.processing.background.BasicBackgroundSubtract
-
Process the input by subtracting the background
- processImage(I) - Method in class org.openimaj.image.processing.CLImageProcessor
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.AverageBoxFilter
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.FConvolution
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.FDiscGausConvolve
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.FFastGaussianConvolve
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.FGaussianConvolve
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.FImageConvolveSeparable
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.FourierConvolve
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.FTriangleFilter
-
- processImage(FImage) - Method in class org.openimaj.image.processing.convolution.SumBoxFilter
-
- processImage(FImage) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector
-
- processImage(FImage, FSobel) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector
-
Apply non-max suppression and hysteresis thresholding based using the
given
FSobel
analyser to generate the gradients.
- processImage(FImage, FImage, FImage) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector
-
Apply non-max suppression and hysteresis thresholding based on the given
(Sobel) gradient maps and write the result to the given output image.
- processImage(FImage) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Process an image.
- processImage(FImage) - Method in class org.openimaj.image.processing.edges.StrokeWidthTransform
-
- processImage(FImage) - Method in class org.openimaj.image.processing.edges.SUSANEdgeDetector
-
Process an image.
- processImage(FImage) - Method in class org.openimaj.image.processing.effects.DioramaEffect
-
- processImage(FImage) - Method in class org.openimaj.image.processing.extraction.OrientedPolygonExtractionProcessor
-
- processImage(FImage) - Method in class org.openimaj.image.processing.morphology.Close
-
- processImage(FImage) - Method in class org.openimaj.image.processing.morphology.Open
-
- processImage(FImage) - Method in class org.openimaj.image.processing.morphology.SequentialThin
-
- processImage(FImage) - Method in class org.openimaj.image.processing.morphology.Thicken
-
- processImage(FImage) - Method in class org.openimaj.image.processing.morphology.Thin
-
- processImage(FImage) - Method in class org.openimaj.image.processing.resize.BicubicInterpolation
-
- processImage(FImage) - Method in class org.openimaj.image.processing.resize.BilinearInterpolation
-
- processImage(FImage) - Method in class org.openimaj.image.processing.resize.FixedResizeProcessor
-
Process an image.
- processImage(FImage) - Method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Process an image.
- processImage(IMAGE) - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractImageMaskInpainter
-
- processImage(IMAGE) - Method in interface org.openimaj.image.processing.restoration.inpainting.Inpainter
-
- processImage(FImage) - Method in class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdBernsen
-
- processImage(FImage) - Method in class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdContrast
-
- processImage(FImage) - Method in class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdGaussian
-
- processImage(FImage) - Method in class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMean
-
- processImage(FImage) - Method in class org.openimaj.image.processing.threshold.AdaptiveLocalThresholdMedian
-
- processImage(FImage) - Method in class org.openimaj.image.processing.threshold.OtsuThreshold
-
- processImage(I) - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
- processImage(FImage) - Method in class org.openimaj.image.processing.transform.RemapProcessor
-
- processImage(FImage) - Method in class org.openimaj.image.processing.transform.SkewCorrector
-
Process an image.
- processImage(I) - Method in interface org.openimaj.image.processor.ImageProcessor
-
Process an image.
- processImage(FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Process an image.
- processImage(FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale
-
Process an image.
- processImage(FImage) - Method in class org.openimaj.workinprogress.BrightnessClusteringTransform
-
- processImageOneIteration(FImage) - Method in class org.openimaj.image.processing.algorithm.AnisotropicDiffusion
-
Perform a single iteration of anisotropic diffusion
- processingComplete(AudioStream) - Method in class org.openimaj.audio.processor.AudioProcessor
-
Called when the processing of a given audio stream has been completed.
- processingComplete() - Method in class org.openimaj.video.processor.VideoProcessor
-
A hook for subclasses to be called when processing for the video has
completed to clean up after themselves.
- processingComplete() - Method in class org.openimaj.video.xuggle.XuggleVideoWriter
-
A hook for subclasses to be called when processing for the video has
completed to clean up after themselves.
- processingMarker - Variable in class org.openimaj.vis.video.VideoBarVisualisation
-
The marker that's used for processing progress
- processInplace(PixelProcessor<Float>) - Method in class org.openimaj.image.FImage
-
Process this image with the given
PixelProcessor
side-affecting
this image.
- processInplace(Processor<I>) - Method in class org.openimaj.image.Image
-
Process this image with the given
Processor
side-affecting this
image.
- processInplace(ImageProcessor<I>) - Method in class org.openimaj.image.Image
-
Process this image with the given
ImageProcessor
side-affecting
this image.
- processInplace(KernelProcessor<Q, I>) - Method in class org.openimaj.image.Image
-
Process this image with the given
KernelProcessor
side-affecting
this image.
- processInplace(KernelProcessor<Q, I>, boolean) - Method in class org.openimaj.image.Image
-
Process this image with the given
KernelProcessor
side-affecting
this image.
- processInplace(PixelProcessor<Q>) - Method in class org.openimaj.image.Image
-
Process this image with the given
PixelProcessor
side-affecting
this image.
- processInplace(SinglebandImageProcessor<T, S>) - Method in class org.openimaj.image.MultiBandImage
-
- processInplace(SinglebandKernelProcessor<T, S>) - Method in class org.openimaj.image.MultiBandImage
- processInplace(SinglebandKernelProcessor<T, S>, boolean) - Method in class org.openimaj.image.MultiBandImage
- processInplace(SinglebandPixelProcessor<T>) - Method in class org.openimaj.image.MultiBandImage
-
- processInplace(ConnectedComponentProcessor) - Method in class org.openimaj.image.pixel.ConnectedComponent
-
- processInplace(SinglebandImageProcessor<T, S>) - Method in interface org.openimaj.image.processor.SinglebandImageProcessor.Processable
-
- processInplace(SinglebandKernelProcessor<T, S>) - Method in interface org.openimaj.image.processor.SinglebandKernelProcessor.Processable
-
- processInplace(SinglebandKernelProcessor<T, S>, boolean) - Method in interface org.openimaj.image.processor.SinglebandKernelProcessor.Processable
-
- processInplace(SinglebandKernelProcessor<Q, I>) - Method in class org.openimaj.image.SingleBandImage
- processInplace(SinglebandKernelProcessor<Q, I>, boolean) - Method in class org.openimaj.image.SingleBandImage
- processInplace(SinglebandImageProcessor<Q, I>) - Method in class org.openimaj.image.SingleBandImage
-
- processInplace(SimilarityMatrixProcessor) - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Process this matrix with the given processor.
- processInplace(TimeSeriesProcessor<DATA, SINGLE_TYPE, RETURNTYPE>) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
Process using the provided processor
- processInternal(TimeSeriesProcessor<ALLINPUT, SINGLEINPUT, INTERNALSERIES>) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
process the internal series held by this collection with this processor
- processInternalInplace(TimeSeriesProcessor<ALLINPUT, SINGLEINPUT, INTERNALSERIES>) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
process the internal series held by this collection with this processor
- processKernel(FImage) - Method in class org.openimaj.image.processing.convolution.FSobelMagnitude
-
- processKernel(FImage) - Method in class org.openimaj.image.processing.morphology.Dilate
-
- processKernel(FImage) - Method in class org.openimaj.image.processing.morphology.Erode
-
- processKernel(FImage) - Method in class org.openimaj.image.processing.morphology.HitAndMiss
-
- processKernel(I) - Method in interface org.openimaj.image.processor.KernelProcessor
-
Process the patch with this kernel processor and return a value
that will be used to build the convolved image.
- processMasked(FImage, PixelProcessor<Q>) - Method in class org.openimaj.image.Image
-
Process this image with the given
PixelProcessor
only affecting
those pixels where the mask is non-zero.
- processMaskedInplace(FImage, PixelProcessor<Q>) - Method in class org.openimaj.image.Image
-
Process this image with the given
PixelProcessor
, only affecting
those pixels where the mask is non-zero.
- processOctaveLevelPoints(FImage, List<T>, float, float) - Method in class org.openimaj.image.feature.local.detector.ipd.finder.LoggingOctaveInterestPointFinder
-
- processOctaveLevelPoints(FImage, List<T>, float, float) - Method in class org.openimaj.image.feature.local.detector.ipd.finder.OctaveInterestPointFinder
-
- ProcessOptions(Class<?>) - Constructor for class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
Construct a new
JavaProcess.ProcessOptions
that inherits the classpath of
the current JVM and will runs the main method of the given class.
- ProcessOptions(File) - Constructor for class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
- ProcessOptions(String, String) - Constructor for class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
- Processor(I) - Constructor for class net.lag.kestrel.thrift.Kestrel.Processor
-
- Processor(I, Map<String, ProcessFunction<I, ? extends TBase>>) - Constructor for class net.lag.kestrel.thrift.Kestrel.Processor
-
- Processor<I extends Image<?,I>> - Interface in org.openimaj.image.processor
-
- processor() - Method in interface org.openimaj.tools.imagecollection.collection.config.ImageCollectionProcessorMode.ModeOp
-
- processor() - Method in enum org.openimaj.tools.imagecollection.ImageCollectionProcessorMode
-
- ProcessorJobEvent() - Constructor for class org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob.ProcessorJobEvent
-
- ProcessorUtilities - Class in org.openimaj.image.processor
-
Utility functions for dealing with
Processor
s.
- ProcessorUtilities() - Constructor for class org.openimaj.image.processor.ProcessorUtilities
-
- processPixel(Float) - Method in class org.openimaj.image.processing.algorithm.GammaCorrection
-
- processPixel(Float) - Method in class org.openimaj.image.processing.algorithm.Pow
-
- processPixel(Q) - Method in interface org.openimaj.image.processor.PixelProcessor
-
Process the given pixel returning a new value
for the pixel.
- processSamples(SampleChunk) - Method in class org.openimaj.audio.filters.FFTBandPassFilter
-
Process the band-filtered samples.
- processSamples(SampleChunk) - Method in class org.openimaj.audio.filters.WeightedWindowedAudioProcessor
-
Process the Hanning samples.
- processStream(AudioStream) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Process the entire stream (or as much data will fit into the
visualisation window).
- processTweet(String) - Method in class org.openimaj.storm.tools.twitter.bolts.BaseTwitterRichBolt
-
- processTweet(String) - Method in class org.openimaj.storm.tools.twitter.bolts.TweetPreprocessingBolt
-
- processURLs(URL) - Method in class org.openimaj.stream.functions.ImageSiteURLExtractor
-
- processURLs(URL) - Method in class org.openimaj.stream.functions.SiteSpecificURLExtractor
-
- processVideo() - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Begin processing the data in a separate thread.
- ProcrustesAnalysis - Class in org.openimaj.math.geometry.shape.algorithm
-
Ordinary Procrustes Analysis between two sets of corresponding
PointList
s.
- ProcrustesAnalysis(PointList) - Constructor for class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
- ProcrustesAnalysis(PointList, boolean) - Constructor for class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
- profile - Variable in class org.openimaj.twitter.USMFStatus.User
-
Href to user profile
- ProgrammaticBrowser - Class in org.openimaj.web
-
An offscreen web-browser that can be accessed programmatically.
- ProgrammaticBrowser() - Constructor for class org.openimaj.web.ProgrammaticBrowser
-
Default constructor.
- ProgrammaticBrowser(BrowserDelegate) - Constructor for class org.openimaj.web.ProgrammaticBrowser
-
Construct with given delegate object.
- progress(String) - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- progressUpdate(ImageCollectionProcessorJob.ProcessorJobEvent) - Method in interface org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob.ProcessorJobListener
-
- progressUpdate(ImageCollectionProcessorJob.ProcessorJobEvent) - Method in class org.openimaj.tools.imagecollection.tool.ImageCollectionTool
-
- project(FImage) - Static method in class org.openimaj.image.analysis.algorithm.HorizontalProjection
-
Project an image onto the x-axis.
- project(FImage) - Static method in class org.openimaj.image.analysis.algorithm.VerticalProjection
-
Project an image onto the y-axis.
- project(Point2d) - Method in class org.openimaj.image.camera.Camera
-
Project a 2d point (technically a 3d point on the z=0 world plane)
- project(Point3d) - Method in class org.openimaj.image.camera.Camera
-
Project a 3d point onto the image plane
- project(T, Matrix) - Static method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Utility function, project one image with one matrix.
- project(T, Matrix, Q) - Static method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Utility function, project one image with one matrix.
- project(Matrix) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Project a matrix of row vectors by the basis.
- project(double[]) - Method in class org.openimaj.math.matrix.algorithm.LinearDiscriminantAnalysis
-
Project a vector by the basis.
- project(Matrix) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Project a matrix of row vectors by the basis.
- project(double[]) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Project a vector by the basis.
- project(double[]) - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Compute the low rank estimate of the given vector
- project(FeatureVector) - Method in class org.openimaj.ml.pca.FeatureVectorPCA
-
Project a vector by the basis.
- projectedRectangles - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- projectedShapes - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- projectHS(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Transform the Hue and Saturation components of a MBFImage by projecting
them from a radial coordinate system to Cartesian coordinates.
- ProjectionProcessor<Q,T extends Image<Q,T>> - Class in org.openimaj.image.processing.transform
-
- ProjectionProcessor() - Constructor for class org.openimaj.image.processing.transform.ProjectionProcessor
-
Construct a projection processor starting with an identity matrix for any
images processed (i.e., don't do anything)
- Projectron - Class in org.openimaj.ml.linear.learner.perceptron
-
- Projectron(VectorKernel, double) - Constructor for class org.openimaj.ml.linear.learner.perceptron.Projectron
-
- Projectron(VectorKernel) - Constructor for class org.openimaj.ml.linear.learner.perceptron.Projectron
-
- properties - Variable in class org.openimaj.rdf.owl2java.ClassDef
-
List of the properties in this class
- PropertyDef - Class in org.openimaj.rdf.owl2java
-
Represents the definition of a property of a class.
- PropertyDef(Generator.GeneratorOptions) - Constructor for class org.openimaj.rdf.owl2java.PropertyDef
-
- PropertyDef.PropertyType - Enum in org.openimaj.rdf.owl2java
-
The type of the property.
- prox(Matrix, double) - Method in class org.openimaj.ml.linear.learner.matlib.regul.L1L2Regulariser
-
- prox(Matrix, double) - Method in class org.openimaj.ml.linear.learner.matlib.regul.L1Regulariser
-
- prox(Matrix, double) - Method in interface org.openimaj.ml.linear.learner.matlib.regul.Regulariser
-
- prox(Matrix, double) - Method in class org.openimaj.ml.linear.learner.regul.L1L2Regulariser
-
- prox(Matrix, double) - Method in class org.openimaj.ml.linear.learner.regul.L1Regulariser
-
- prox(Matrix, double) - Method in interface org.openimaj.ml.linear.learner.regul.Regulariser
-
- Proxy(ImageCollectionEntrySelection<MBFImage>) - Constructor for class org.openimaj.tools.imagecollection.collection.video.selection.XuggleVideoFrameSelection.Proxy
-
- ProxyOptionHandler - Class in org.kohsuke.args4j
-
- ProxyOptionHandler(CmdLineParser, OptionDef, Setter<? super Object>) - Constructor for class org.kohsuke.args4j.ProxyOptionHandler
-
Default constructor.
- pseudoInverse(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Computes the Moore-Penrose pseudoinverse.
- PseudoInverse - Class in org.openimaj.math.matrix
-
Methods for calculating the Moore-Penrose Pseudo-Inverse
- PseudoInverse() - Constructor for class org.openimaj.math.matrix.PseudoInverse
-
- pseudoInverse(Matrix) - Static method in class org.openimaj.math.matrix.PseudoInverse
-
Compute the Moore-Penrose Pseudo-Inverse.
- pseudoInverse(Matrix, int) - Static method in class org.openimaj.math.matrix.PseudoInverse
-
Compute the lower-rank approximation of the Moore-Penrose Pseudo-Inverse.
- pseudoInverse(Matrix, int) - Static method in class org.openimaj.math.matrix.PseudoInverse
-
Compute the lower-rank approximation of the Moore-Penrose Pseudo-Inverse.
- PTRDIFF_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- PTRDIFF_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- publisher() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The publisher's name
- PunctuationPatternProvider - Class in org.openimaj.text.nlp.patterns
-
- PunctuationPatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.PunctuationPatternProvider
-
- purity - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
A measure of how pure each cluster is.
- purity - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.PurityAnalysis
-
the purity
- purity - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
A measure of how pure each cluster is.
- purity - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
A measure of how pure each cluster is.
- PurityAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
A measure of how pure each cluster is.
- PurityAnalysis() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.PurityAnalysis
-
- PurityClusterAnalyser - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Create a measure of purity
- PurityClusterAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.PurityClusterAnalyser
-
- push(double) - Method in class org.openimaj.math.util.RunningStat
-
Push a data value from the stream into the calculation.
- put(String, List<ByteBuffer>, int) - Method in class backtype.storm.spout.KestrelThriftClient
-
- put(String, String, int) - Method in class backtype.storm.spout.KestrelThriftClient
-
- put(int, int, double) - Method in class ch.akuhn.matrix.DenseMatrix
-
- put(int, double) - Method in class ch.akuhn.matrix.DenseVector
-
- put(int, int, double) - Method in class ch.akuhn.matrix.Matrix
-
Set the value at the given row/column
- put(int, int, double) - Method in class ch.akuhn.matrix.SparseMatrix
-
- put(int, double) - Method in class ch.akuhn.matrix.SparseVector
-
- put(int, int, double) - Method in class ch.akuhn.matrix.SymmetricMatrix
-
- put(int, double) - Method in class ch.akuhn.matrix.Vector
-
Set the value at an index
- put(String, List<ByteBuffer>, int, AsyncMethodCallback<Kestrel.AsyncClient.put_call>) - Method in class net.lag.kestrel.thrift.Kestrel.AsyncClient
-
- put(String, List<ByteBuffer>, int, AsyncMethodCallback<Kestrel.AsyncClient.put_call>) - Method in interface net.lag.kestrel.thrift.Kestrel.AsyncIface
-
- put(String, List<ByteBuffer>, int) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- put(String, List<ByteBuffer>, int) - Method in interface net.lag.kestrel.thrift.Kestrel.Iface
-
- put(KEY, DATASET) - Method in class org.openimaj.data.dataset.MapBackedDataset
-
- put(CLASS, double) - Method in class org.openimaj.experiment.evaluation.classification.BasicClassificationResult
-
Add a class/confidence pair.
- put(int, DATA) - Method in interface org.openimaj.image.searching.IncrementalMetaIndex
-
- put(int, DATA) - Method in class org.openimaj.image.searching.MapBackedMetaIndex
-
- put(int, int, double) - Method in class org.openimaj.math.matrix.DiagonalMatrix
-
- put(int, int, double) - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
- put(E) - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- put(E) - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Inserts the specified element into this queue, dropping the oldest
element to make space if necessary.
- put_args() - Constructor for class net.lag.kestrel.thrift.Kestrel.put_args
-
- put_args(String, List<ByteBuffer>, int) - Constructor for class net.lag.kestrel.thrift.Kestrel.put_args
-
- put_args(Kestrel.put_args) - Constructor for class net.lag.kestrel.thrift.Kestrel.put_args
-
Performs a deep copy on other.
- put_call(String, List<ByteBuffer>, int, AsyncMethodCallback<Kestrel.AsyncClient.put_call>, TAsyncClient, TProtocolFactory, TNonblockingTransport) - Constructor for class net.lag.kestrel.thrift.Kestrel.AsyncClient.put_call
-
- put_result() - Constructor for class net.lag.kestrel.thrift.Kestrel.put_result
-
- put_result(int) - Constructor for class net.lag.kestrel.thrift.Kestrel.put_result
-
- put_result(Kestrel.put_result) - Constructor for class net.lag.kestrel.thrift.Kestrel.put_result
-
Performs a deep copy on other.
- PValueWordMapper - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.correlation
-
- PValueWordMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.PValueWordMapper
-
- PValueWordReducer - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.correlation
-
- PValueWordReducer() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.PValueWordReducer
-
- Pyramid<OPTIONS extends PyramidOptions<OCTAVE,IMAGE>,OCTAVE extends Octave<OPTIONS,?,IMAGE>,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.analysis.pyramid
-
An image pyramid consisting of a stack of octaves.
- Pyramid(OPTIONS) - Constructor for class org.openimaj.image.analysis.pyramid.Pyramid
-
Construct a Pyramid with the given options.
- pyramid - Variable in class org.openimaj.image.analysis.pyramid.SimplePyramid
-
The images forming the pyramid
- Pyramid - Class in org.openimaj.video.tracking.klt
-
A simple Gaussian pyramid
- Pyramid(int, int, int, int) - Constructor for class org.openimaj.video.tracking.klt.Pyramid
-
- PyramidDenseSIFT<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.feature.dense.gradient.dsift
-
A scale-space pyramid of dense SIFT for
FImage
s.
- PyramidDenseSIFT(AbstractDenseSIFT<IMAGE>, float, int...) - Constructor for class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
Construct the pyramid dense sift extractor.
- PyramidOptions<OCTAVE extends Octave<?,?,IMAGE>,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.analysis.pyramid
-
Basic options for constructing a pyramid
- PyramidOptions() - Constructor for class org.openimaj.image.analysis.pyramid.PyramidOptions
-
- pyramidProcessor - Variable in class org.openimaj.image.analysis.pyramid.PyramidOptions
-
PyramidProcessor for processing the pyramid after construction.
- PyramidProcessor<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Interface in org.openimaj.image.analysis.pyramid
-
The PyramidProcessor interface defines an object that
is capable performing work on a pyramid.
- pyramidResize(FImage, Matrix) - Static method in class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
Resize the image using a pyramid.
- PyramidSet - Class in org.openimaj.video.tracking.klt
-
A common set of objects, namely the gaussian pyramid for an image and the gradients of each
level of the pyramid
- PyramidSet(FImage, TrackingContext) - Constructor for class org.openimaj.video.tracking.klt.PyramidSet
-
- PyramidSet(Pyramid, Pyramid, Pyramid) - Constructor for class org.openimaj.video.tracking.klt.PyramidSet
-
- PyramidSpatialAggregator<T,AGGREGATE extends FeatureVector & Concatenatable<AGGREGATE,AGGREGATE>> - Class in org.openimaj.image.feature.local.aggregate
-
- PyramidSpatialAggregator(VectorAggregator<ArrayFeatureVector<T>, AGGREGATE>, String) - Constructor for class org.openimaj.image.feature.local.aggregate.PyramidSpatialAggregator
-
Construct with the given aggregator and pyramid description (i.e.
- PyramidSpatialAggregator(VectorAggregator<ArrayFeatureVector<T>, AGGREGATE>, int...) - Constructor for class org.openimaj.image.feature.local.aggregate.PyramidSpatialAggregator
-
Construct with the given aggregator and number of blocks per level.
- PyramidTextExtractor() - Constructor for class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale.PyramidTextExtractor
-
- r - Variable in class org.openimaj.lsh.functions.BytePStableFactory.PStableFunction
-
- r - Variable in class org.openimaj.lsh.functions.DoublePStableFactory.PStableFunction
-
- r - Variable in class org.openimaj.lsh.functions.FloatPStableFactory.PStableFunction
-
- r - Variable in class org.openimaj.lsh.functions.IntPStableFactory.PStableFunction
-
- r - Variable in class org.openimaj.lsh.functions.LongPStableFactory.PStableFunction
-
- r - Variable in class org.openimaj.lsh.functions.ShortPStableFactory.PStableFunction
-
- R5E5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- R5L5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- R5R5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- R5S5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- radius - Variable in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
-
- radius - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- radius - Variable in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
The radius of the descriptor samples about each point
- radius - Variable in class org.openimaj.math.geometry.shape.Circle
-
- radiusDistanceSearch(byte[], byte) - Method in class org.openimaj.util.tree.IncrementalByteKDTree
-
Find all the points within the given radius of the given point.
- radiusDistanceSearch(double[], double) - Method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Find all the points within the given radius of the given point.
- radiusDistanceSearch(float[], float) - Method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
Find all the points within the given radius of the given point.
- radiusDistanceSearch(int[], int) - Method in class org.openimaj.util.tree.IncrementalIntKDTree
-
Find all the points within the given radius of the given point.
- radiusDistanceSearch(long[], long) - Method in class org.openimaj.util.tree.IncrementalLongKDTree
-
Find all the points within the given radius of the given point.
- radiusDistanceSearch(short[], short) - Method in class org.openimaj.util.tree.IncrementalShortKDTree
-
Find all the points within the given radius of the given point.
- radiusSearch(byte[], byte, TIntObjectProcedure<byte[]>) - Method in class org.openimaj.util.tree.ByteKDTree
-
Find all the points within the given radius of the given point.
- radiusSearch(double[], double, TIntObjectProcedure<double[]>) - Method in class org.openimaj.util.tree.DoubleKDTree
-
Find all the points within the given radius of the given point.
- radiusSearch(float[], float, TIntObjectProcedure<float[]>) - Method in class org.openimaj.util.tree.FloatKDTree
-
Find all the points within the given radius of the given point.
- radiusSearch(byte[], byte) - Method in class org.openimaj.util.tree.IncrementalByteKDTree
-
Find all the points within the given radius of the given point
- radiusSearch(double[], double) - Method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Find all the points within the given radius of the given point
- radiusSearch(float[], float) - Method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
Find all the points within the given radius of the given point
- radiusSearch(int[], int) - Method in class org.openimaj.util.tree.IncrementalIntKDTree
-
Find all the points within the given radius of the given point
- radiusSearch(long[], long) - Method in class org.openimaj.util.tree.IncrementalLongKDTree
-
Find all the points within the given radius of the given point
- radiusSearch(short[], short) - Method in class org.openimaj.util.tree.IncrementalShortKDTree
-
Find all the points within the given radius of the given point
- radiusSearch(int[], int, TIntObjectProcedure<int[]>) - Method in class org.openimaj.util.tree.IntKDTree
-
Find all the points within the given radius of the given point.
- radiusSearch(long[], long, TIntObjectProcedure<long[]>) - Method in class org.openimaj.util.tree.LongKDTree
-
Find all the points within the given radius of the given point.
- radiusSearch(short[], short, TIntObjectProcedure<short[]>) - Method in class org.openimaj.util.tree.ShortKDTree
-
Find all the points within the given radius of the given point.
- radmap - Variable in class org.openimaj.image.analysis.algorithm.HoughCircles
-
- randGaussian(int, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Generate a matrix with Gaussian distributed randoms
- randIndex() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- randIndex - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.FullMEAnalysis
-
- randIndex - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
- randIndex() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- randIndex - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- random(int, int, double) - Static method in class ch.akuhn.matrix.SparseMatrix
-
Create a random matrix
- random - Variable in class org.openimaj.lsh.functions.RandomisedHashFunction
-
- RANDOM() - Constructor for class org.openimaj.ml.clustering.kmeans.ByteKMeansInit.RANDOM
-
- RANDOM() - Constructor for class org.openimaj.ml.clustering.kmeans.DoubleKMeansInit.RANDOM
-
- RANDOM() - Constructor for class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeansInit.RANDOM
-
- RANDOM() - Constructor for class org.openimaj.ml.clustering.kmeans.FloatKMeansInit.RANDOM
-
- RANDOM() - Constructor for class org.openimaj.ml.clustering.kmeans.IntKMeansInit.RANDOM
-
- RANDOM() - Constructor for class org.openimaj.ml.clustering.kmeans.LongKMeansInit.RANDOM
-
- RANDOM() - Constructor for class org.openimaj.ml.clustering.kmeans.ShortKMeansInit.RANDOM
-
- random - Variable in class org.openimaj.ml.clustering.random.RandomByteClusterer
-
- random - Variable in class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
- random - Variable in class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
- random - Variable in class org.openimaj.ml.clustering.random.RandomIntClusterer
-
- random - Variable in class org.openimaj.ml.clustering.random.RandomLongClusterer
-
- random - Variable in class org.openimaj.ml.clustering.random.RandomShortClusterer
-
- RANDOM - Static variable in class org.openimaj.workinprogress.SignProgrammer
-
- RandomBaselineClusterAnalyser<ANNER extends ClusterAnalyser<ANNYS>,ANNYS extends RandomBaselineWrappable & AnalysisResult> - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Wraps the functionality of any
ClusterAnalyser
as corrected by
a Random baseline.
- RandomBaselineClusterAnalyser(ANNER) - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalyser
-
- RandomBaselineClusterAnalyser(ANNER, int) - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalyser
-
- RandomBaselineClusterAnalyser(ANNER, int, long) - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalyser
-
- RandomBaselineClusterAnalysis<T extends RandomBaselineWrappable & AnalysisResult> - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
The result of a TestRandomBaselineClusterAnalyser
which wraps the
baseline result and result of an AnalysisResult
- RandomBaselineClusterAnalysis(T, double) - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalysis
-
- RandomBaselineSMEAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Results of applying a RandomBaselineSMEAnalysis to evaluate clustering.
- RandomBaselineSMEAnalysis(int[][], int[][]) - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
Construct with the correct assignments and estimated assignments.
- RandomBaselineSMEClusterAnalyser - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
A set of measures used to evaluate clustering quality.
- RandomBaselineSMEClusterAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEClusterAnalyser
-
Default constructor
- RandomBaselineWrappable - Interface in org.openimaj.experiment.evaluation.cluster.analyser
-
An
AnalysisResult
which can offer some score and thus be compared to
a random baseline
- RandomBetaInit() - Constructor for class org.openimaj.pgm.vb.lda.mle.LDABetaInitStrategy.RandomBetaInit
-
unseeded random
- RandomBetaInit(int) - Constructor for class org.openimaj.pgm.vb.lda.mle.LDABetaInitStrategy.RandomBetaInit
-
seeded random
- RandomByteClusterer - Class in org.openimaj.ml.clustering.random
-
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.
- RandomByteClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomByteClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomByteClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomByteClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomChooser - Class in org.openimaj.ml.annotation.basic.util
-
Choose a random number of annotations between the given
limits.
- RandomChooser(int) - Constructor for class org.openimaj.ml.annotation.basic.util.RandomChooser
-
Construct so that the maximum possible number of annotations
is max and the minimum is 0.
- RandomChooser(int, int) - Constructor for class org.openimaj.ml.annotation.basic.util.RandomChooser
-
Construct so that the minimium possible number of annotations
is min and the maximum is max.
- RandomClusterer - Class in org.openimaj.ml.clustering.random
-
Given a similarity or distance matrix, this clusterer randomly selects a
number of clusters and randomly assigned each row to each cluster.
- RandomClusterer() - Constructor for class org.openimaj.ml.clustering.random.RandomClusterer
-
unseeded random
- RandomClusterer(long) - Constructor for class org.openimaj.ml.clustering.random.RandomClusterer
-
seeded random
- RandomClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomClusterer
-
seeded random
- RandomClusterer(int, long) - Constructor for class org.openimaj.ml.clustering.random.RandomClusterer
-
seeded random
- randomColour() - Static method in class org.openimaj.image.colour.RGBColour
-
Generate a random colour
- randomColours(int) - Static method in class org.openimaj.image.colour.RGBColour
-
Generate a list of random colours.
- RandomData - Class in org.openimaj.data
-
Utility functions for creating random data
- RandomData() - Constructor for class org.openimaj.data.RandomData
-
- RandomDecision - Class in org.openimaj.ml.clustering.rforest
-
A single decision node of a RandomForest tree.
- RandomDecision(int, int[], int[]) - Constructor for class org.openimaj.ml.clustering.rforest.RandomDecision
-
- RandomDecision(int, int[], int[], Random) - Constructor for class org.openimaj.ml.clustering.rforest.RandomDecision
-
- RandomDecision() - Constructor for class org.openimaj.ml.clustering.rforest.RandomDecision
-
Emtpy contructor provided to allow reading of the decision
- RandomDecisionTree - Class in org.openimaj.ml.clustering.rforest
-
A tree of
RandomDecision
nodes used for constructing a string of bits which represent a cluster
point for a single data point
- RandomDecisionTree(int, int, int[], int[]) - Constructor for class org.openimaj.ml.clustering.rforest.RandomDecisionTree
-
Construct a new RandomDecisionTree setting the number of decisions and the values needed
to choose a random index and min/max values for each feature vector index.
- RandomDecisionTree(int, int, int[], int[], Random) - Constructor for class org.openimaj.ml.clustering.rforest.RandomDecisionTree
-
Construct a new RandomDecisionTree setting the number of decisions and the values needed
to choose a random index and min/max values for each feature vector index.
- RandomDecisionTree() - Constructor for class org.openimaj.ml.clustering.rforest.RandomDecisionTree
-
A convenience function allowing the RandomDecisionTree to be written and read.
- RandomDoubleClusterer - Class in org.openimaj.ml.clustering.random
-
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.
- RandomDoubleClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomDoubleClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomFieldSpout(int, int, int, int) - Constructor for class org.openimaj.storm.StormPlayground.RandomFieldSpout
-
- RandomFieldSpout(int, int, int) - Constructor for class org.openimaj.storm.StormPlayground.RandomFieldSpout
-
- RandomFilter - Class in org.openimaj.tools.twitter.modes.filter
-
- RandomFilter() - Constructor for class org.openimaj.tools.twitter.modes.filter.RandomFilter
-
- RandomFloatClusterer - Class in org.openimaj.ml.clustering.random
-
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.
- RandomFloatClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomFloatClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- randomFloatInRange(float, float) - Method in class org.openimaj.image.neardups.sim.Simulation
-
- randomImage(int, int) - Static method in class org.openimaj.image.FImage
-
Create a random image of the given size.
- randomImage(int, int) - Static method in class org.openimaj.image.MBFImage
-
Create a random RGB image.
- RandomIndexAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
Uses a decision analysis to produce the random index result
- RandomIndexAnalysis(DecisionAnalysis) - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- RandomIndexClusterAnalyser - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
- RandomIndexClusterAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexClusterAnalyser
-
- RandomInitStrategy - Class in org.openimaj.ml.linear.learner.init
-
- RandomInitStrategy(double, double, Random) - Constructor for class org.openimaj.ml.linear.learner.init.RandomInitStrategy
-
- RandomIntClusterer - Class in org.openimaj.ml.clustering.random
-
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.
- RandomIntClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomIntClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomIntClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomIntClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- randomIntInRange(int, int) - Method in class org.openimaj.image.neardups.sim.Simulation
-
- RandomisableList<T> - Interface in org.openimaj.util.list
-
A list from which random elements can be extracted
- RandomisedBBFMeanSplit() - Constructor for class org.openimaj.util.tree.ByteKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(Uniform) - Constructor for class org.openimaj.util.tree.ByteKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(int, int, int, Uniform) - Constructor for class org.openimaj.util.tree.ByteKDTree.RandomisedBBFMeanSplit
-
Construct with the given values.
- RandomisedBBFMeanSplit() - Constructor for class org.openimaj.util.tree.DoubleKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(Uniform) - Constructor for class org.openimaj.util.tree.DoubleKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(int, int, int, Uniform) - Constructor for class org.openimaj.util.tree.DoubleKDTree.RandomisedBBFMeanSplit
-
Construct with the given values.
- RandomisedBBFMeanSplit() - Constructor for class org.openimaj.util.tree.FloatKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(Uniform) - Constructor for class org.openimaj.util.tree.FloatKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(int, int, int, Uniform) - Constructor for class org.openimaj.util.tree.FloatKDTree.RandomisedBBFMeanSplit
-
Construct with the given values.
- RandomisedBBFMeanSplit() - Constructor for class org.openimaj.util.tree.IntKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(Uniform) - Constructor for class org.openimaj.util.tree.IntKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(int, int, int, Uniform) - Constructor for class org.openimaj.util.tree.IntKDTree.RandomisedBBFMeanSplit
-
Construct with the given values.
- RandomisedBBFMeanSplit() - Constructor for class org.openimaj.util.tree.LongKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(Uniform) - Constructor for class org.openimaj.util.tree.LongKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(int, int, int, Uniform) - Constructor for class org.openimaj.util.tree.LongKDTree.RandomisedBBFMeanSplit
-
Construct with the given values.
- RandomisedBBFMeanSplit() - Constructor for class org.openimaj.util.tree.ShortKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(Uniform) - Constructor for class org.openimaj.util.tree.ShortKDTree.RandomisedBBFMeanSplit
-
Construct with the default values of 14 points per leaf (max), 128
samples for computing variance, and the 5 most varying dimensions
randomly selected.
- RandomisedBBFMeanSplit(int, int, int, Uniform) - Constructor for class org.openimaj.util.tree.ShortKDTree.RandomisedBBFMeanSplit
-
Construct with the given values.
- RandomisedHashFunction<OBJECT> - Class in org.openimaj.lsh.functions
-
A randomised hash function
- RandomisedHashFunctionFactory<OBJECT> - Class in org.openimaj.lsh.functions
-
- RandomisedHashFunctionFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.RandomisedHashFunctionFactory
-
* @param ndims number of dimensions of data
- RandomisedPercentageHoldOut<INSTANCE> - Class in org.openimaj.experiment.validation
-
Hold-Out validation that selects a percentage of the original
data to use for training, and the remainder to use for validation.
- RandomisedPercentageHoldOut(double, ListDataset<INSTANCE>) - Constructor for class org.openimaj.experiment.validation.RandomisedPercentageHoldOut
-
Construct with the given dataset and percentage of training
data (0..1).
- randomizedTest() - Method in class org.lemurproject.ireval.SetRetrievalComparator
-
- RandomLinearByteValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that continuously animates between
randomly selected values in a range.
- RandomLinearByteValueAnimator(byte, byte, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearByteValueAnimator
-
- RandomLinearByteValueAnimator(byte, byte, int, byte) - Constructor for class org.openimaj.content.animation.animator.RandomLinearByteValueAnimator
-
- RandomLinearByteValueAnimator(int, int, byte, byte, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearByteValueAnimator
-
- RandomLinearByteValueAnimator(int, int, byte, byte, int, byte) - Constructor for class org.openimaj.content.animation.animator.RandomLinearByteValueAnimator
-
- RandomLinearDoubleValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that continuously animates between
randomly selected values in a range.
- RandomLinearDoubleValueAnimator(double, double, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearDoubleValueAnimator
-
- RandomLinearDoubleValueAnimator(double, double, int, double) - Constructor for class org.openimaj.content.animation.animator.RandomLinearDoubleValueAnimator
-
- RandomLinearDoubleValueAnimator(int, int, double, double, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearDoubleValueAnimator
-
- RandomLinearDoubleValueAnimator(int, int, double, double, int, double) - Constructor for class org.openimaj.content.animation.animator.RandomLinearDoubleValueAnimator
-
- RandomLinearFloatValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that continuously animates between
randomly selected values in a range.
- RandomLinearFloatValueAnimator(float, float, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearFloatValueAnimator
-
- RandomLinearFloatValueAnimator(float, float, int, float) - Constructor for class org.openimaj.content.animation.animator.RandomLinearFloatValueAnimator
-
- RandomLinearFloatValueAnimator(int, int, float, float, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearFloatValueAnimator
-
- RandomLinearFloatValueAnimator(int, int, float, float, int, float) - Constructor for class org.openimaj.content.animation.animator.RandomLinearFloatValueAnimator
-
- RandomLinearIntegerValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that continuously animates between
randomly selected values in a range.
- RandomLinearIntegerValueAnimator(int, int, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearIntegerValueAnimator
-
- RandomLinearIntegerValueAnimator(int, int, int, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearIntegerValueAnimator
-
- RandomLinearIntegerValueAnimator(int, int, int, int, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearIntegerValueAnimator
-
- RandomLinearIntegerValueAnimator(int, int, int, int, int, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearIntegerValueAnimator
-
- RandomLinearLongValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that continuously animates between
randomly selected values in a range.
- RandomLinearLongValueAnimator(long, long, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearLongValueAnimator
-
- RandomLinearLongValueAnimator(long, long, int, long) - Constructor for class org.openimaj.content.animation.animator.RandomLinearLongValueAnimator
-
- RandomLinearLongValueAnimator(int, int, long, long, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearLongValueAnimator
-
- RandomLinearLongValueAnimator(int, int, long, long, int, long) - Constructor for class org.openimaj.content.animation.animator.RandomLinearLongValueAnimator
-
- RandomLinearShortValueAnimator - Class in org.openimaj.content.animation.animator
-
A
ValueAnimator
that continuously animates between
randomly selected values in a range.
- RandomLinearShortValueAnimator(short, short, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearShortValueAnimator
-
- RandomLinearShortValueAnimator(short, short, int, short) - Constructor for class org.openimaj.content.animation.animator.RandomLinearShortValueAnimator
-
- RandomLinearShortValueAnimator(int, int, short, short, int) - Constructor for class org.openimaj.content.animation.animator.RandomLinearShortValueAnimator
-
- RandomLinearShortValueAnimator(int, int, short, short, int, short) - Constructor for class org.openimaj.content.animation.animator.RandomLinearShortValueAnimator
-
- RandomLongClusterer - Class in org.openimaj.ml.clustering.random
-
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.
- RandomLongClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomLongClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomLongClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomLongClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomPatchSampler<IMAGE extends Image<?,IMAGE>> - Class in org.openimaj.workinprogress.featlearn
-
- RandomPatchSampler(Dataset<IMAGE>, int, int, int) - Constructor for class org.openimaj.workinprogress.featlearn.RandomPatchSampler
-
- RandomProjectionHashComposition<OBJECT> - Class in org.openimaj.lsh.composition
-
Compose a set of hash functions by computing the dot product of the hashes
they produce with a random vector.
- RandomProjectionHashComposition(MersenneTwister, List<HashFunction<OBJECT>>) - Constructor for class org.openimaj.lsh.composition.RandomProjectionHashComposition
-
Construct with the given functions.
- RandomProjectionHashComposition(MersenneTwister, HashFunction<OBJECT>, HashFunction<OBJECT>...) - Constructor for class org.openimaj.lsh.composition.RandomProjectionHashComposition
-
Construct with the given functions.
- RandomProjectionHashComposition(MersenneTwister, HashFunctionFactory<OBJECT>, int) - Constructor for class org.openimaj.lsh.composition.RandomProjectionHashComposition
-
Construct with the factory which is used to produce the required number
of functions.
- RandomSampleDataSource<DATATYPE> - Class in org.openimaj.data
-
- RandomSampleDataSource(DataSource<DATATYPE>, int) - Constructor for class org.openimaj.data.RandomSampleDataSource
-
Construct the view over the given
DataSource
such that it has
requestedSize items.
- RandomSampleDataSource(DataSource<DATATYPE>, double) - Constructor for class org.openimaj.data.RandomSampleDataSource
-
Construct the view over the given
DataSource
such that it has the
given proportion of items from the original.
- RandomSetByteClusterer - Class in org.openimaj.ml.clustering.random
-
A similar strategy to
RandomSetByteClusterer
however it is
guaranteed that the same training vector will not be sampled more than once.
- RandomSetByteClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetByteClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomSetByteClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetByteClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomSetDoubleClusterer - Class in org.openimaj.ml.clustering.random
-
A similar strategy to
RandomSetDoubleClusterer
however it is
guaranteed that the same training vector will not be sampled more than once.
- RandomSetDoubleClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetDoubleClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomSetDoubleClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetDoubleClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomSetFloatClusterer - Class in org.openimaj.ml.clustering.random
-
A similar strategy to
RandomSetFloatClusterer
however it is
guaranteed that the same training vector will not be sampled more than once.
- RandomSetFloatClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetFloatClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomSetFloatClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetFloatClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomSetIntClusterer - Class in org.openimaj.ml.clustering.random
-
A similar strategy to
RandomSetIntClusterer
however it is
guaranteed that the same training vector will not be sampled more than once.
- RandomSetIntClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetIntClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomSetIntClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetIntClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomSetLongClusterer - Class in org.openimaj.ml.clustering.random
-
A similar strategy to
RandomSetLongClusterer
however it is
guaranteed that the same training vector will not be sampled more than once.
- RandomSetLongClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetLongClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomSetLongClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetLongClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomSetShortClusterer - Class in org.openimaj.ml.clustering.random
-
A similar strategy to
RandomSetShortClusterer
however it is
guaranteed that the same training vector will not be sampled more than once.
- RandomSetShortClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetShortClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomSetShortClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomSetShortClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- RandomShortClusterer - Class in org.openimaj.ml.clustering.random
-
A simple (yet apparently quite effective in high dimensions)
clustering technique trained used randomly sampled data points.
- RandomShortClusterer(int, int) - Constructor for class org.openimaj.ml.clustering.random.RandomShortClusterer
-
Creates a new random byte cluster used to create K centroids with data containing M elements.
- RandomShortClusterer(int) - Constructor for class org.openimaj.ml.clustering.random.RandomShortClusterer
-
Creates a new random byte cluster used to create centroids with data containing M elements.
- randomSparseCol(int, int, double, double, double, Random) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Create a random SparseColumnMatrix
- randomSparseRow(int, int, double, double, double, Random) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Create a random SparseRowMatrix
- randomSubList(int) - Method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
- randomSubList(int) - Method in class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
- randomSubList(int) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- randomSubList(int) - Method in class org.openimaj.util.list.AbstractStreamBackedList
-
This method creates a random sublist in ram from elements consumed
from the target list.
- randomSubList(int) - Method in interface org.openimaj.util.list.RandomisableList
-
Extract a sublist made up of nelem elements from the this list.
- range - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
-
The range of pixel values
- range(double...) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
range is: - a single number (a) (0:1:a) - two numbers (a,b) (a:1:b) - three
numbers (a,b,c) (a:b:c)
- range(int...) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
range is: - a single number (a) (0:1:a) - two numbers (a,b) (a:1:b) - three
numbers (a,b,c) (a:b:c)
- range - Variable in class org.openimaj.rdf.owl2java.PropertyDef
-
The range of the property (for Object properties)
- range(int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Extract a range
- RangedAnalysisResult<KEY,ANA extends AnalysisResult> - Class in org.openimaj.experiment.evaluation.cluster
-
- RangedAnalysisResult() - Constructor for class org.openimaj.experiment.evaluation.cluster.RangedAnalysisResult
-
- RangedDBSCANClusterEvaluator<D,T extends AnalysisResult> - Class in org.openimaj.experiment.evaluation.cluster
-
- RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable, SparseMatrixDBSCAN, SparseMatrix, int[][], ClusterAnalyser<T>) - Constructor for class org.openimaj.experiment.evaluation.cluster.RangedDBSCANClusterEvaluator
-
- RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable, SparseMatrixDBSCAN, SparseMatrix, Map<A, ? extends List<B>>, ClusterAnalyser<T>) - Constructor for class org.openimaj.experiment.evaluation.cluster.RangedDBSCANClusterEvaluator
-
- RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable, SparseMatrixDBSCAN, SparseMatrix, Function<B, Integer>, Map<A, ? extends List<B>>, ClusterAnalyser<T>) - Constructor for class org.openimaj.experiment.evaluation.cluster.RangedDBSCANClusterEvaluator
-
- RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable, SparseMatrixDBSCAN, Map<A, ? extends List<B>>, Function<List<B>, SparseMatrix>, ClusterAnalyser<T>) - Constructor for class org.openimaj.experiment.evaluation.cluster.RangedDBSCANClusterEvaluator
-
- RangePartitioner<T> - Class in org.openimaj.util.parallel.partition
-
A
RangePartitioner
partitions data of a known size into a predefined
number of equally sized partitions.
- RangePartitioner(List<T>, int) - Constructor for class org.openimaj.util.parallel.partition.RangePartitioner
-
Construct with a
List
of data and the given number of partitions.
- RangePartitioner(Collection<T>, int) - Constructor for class org.openimaj.util.parallel.partition.RangePartitioner
-
Construct with a
Collection
of data and the given number of
partitions.
- RangePartitioner(T[], int) - Constructor for class org.openimaj.util.parallel.partition.RangePartitioner
-
Construct with an array of data and the given number of partitions.
- RangePartitioner(List<T>) - Constructor for class org.openimaj.util.parallel.partition.RangePartitioner
-
Construct with a
List
of data and the number of partitions equal
to the number of hardware threads.
- RangePartitioner(Collection<T>) - Constructor for class org.openimaj.util.parallel.partition.RangePartitioner
-
Construct with a
Collection
of data and the number of partitions
equal to the number of hardware threads.
- RangePartitioner(T[]) - Constructor for class org.openimaj.util.parallel.partition.RangePartitioner
-
Construct with an array of data and the number of partitions equal to the
number of hardware threads.
- rangePow(double, double...) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
d to the power of each value in range.
- rangeSearch(Collection<T>, Coordinate, Coordinate) - Method in class org.openimaj.knn.CoordinateBruteForce
-
- rangeSearch(Collection<T>, Coordinate, Coordinate) - Method in interface org.openimaj.knn.CoordinateIndex
-
Search for all the coordinates in the index that
lie in the hyper-rectangle defined by the lower and
upper bound coordinates.
- rangeSearch(Collection<T>, Coordinate, Coordinate) - Method in class org.openimaj.knn.CoordinateKDTree
-
Searches the tree for all points contained within a given k-dimensional
bounding box and stores them in a Collection.
- rangeSearch(byte[], byte[], TIntObjectProcedure<byte[]>) - Method in class org.openimaj.util.tree.ByteKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- rangeSearch(double[], double[], TIntObjectProcedure<double[]>) - Method in class org.openimaj.util.tree.DoubleKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- rangeSearch(float[], float[], TIntObjectProcedure<float[]>) - Method in class org.openimaj.util.tree.FloatKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- rangeSearch(byte[], byte[]) - Method in class org.openimaj.util.tree.IncrementalByteKDTree
-
Searches the tree for all points contained within the bounding box
defined by the given upper and lower extremes
- rangeSearch(double[], double[]) - Method in class org.openimaj.util.tree.IncrementalDoubleKDTree
-
Searches the tree for all points contained within the bounding box
defined by the given upper and lower extremes
- rangeSearch(float[], float[]) - Method in class org.openimaj.util.tree.IncrementalFloatKDTree
-
Searches the tree for all points contained within the bounding box
defined by the given upper and lower extremes
- rangeSearch(int[], int[]) - Method in class org.openimaj.util.tree.IncrementalIntKDTree
-
Searches the tree for all points contained within the bounding box
defined by the given upper and lower extremes
- rangeSearch(long[], long[]) - Method in class org.openimaj.util.tree.IncrementalLongKDTree
-
Searches the tree for all points contained within the bounding box
defined by the given upper and lower extremes
- rangeSearch(short[], short[]) - Method in class org.openimaj.util.tree.IncrementalShortKDTree
-
Searches the tree for all points contained within the bounding box
defined by the given upper and lower extremes
- rangeSearch(int[], int[], TIntObjectProcedure<int[]>) - Method in class org.openimaj.util.tree.IntKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- rangeSearch(long[], long[], TIntObjectProcedure<long[]>) - Method in class org.openimaj.util.tree.LongKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- rangeSearch(short[], short[], TIntObjectProcedure<short[]>) - Method in class org.openimaj.util.tree.ShortKDTree
-
Search the tree for all points contained within the hyperrectangle
defined by the given upper and lower extremes.
- rank - Variable in class org.lemurproject.ireval.RetrievalEvaluator.Document
-
The rank of the document in a retrieved ranked list.
- Ranked - Interface in org.openimaj.experiment.evaluation.retrieval
-
Interface for objects that have a ranked position.
- RANSAC<I,D,M extends EstimatableModel<I,D>> - Class in org.openimaj.math.model.fit
-
The RANSAC Algorithm (RANdom SAmple Consensus)
- RANSAC(M, ResidualCalculator<I, D, M>, double, int, RANSAC.StoppingCondition, boolean) - Constructor for class org.openimaj.math.model.fit.RANSAC
-
Create a RANSAC object with uniform random sampling for creating the
subsets
- RANSAC(M, ResidualCalculator<I, D, M>, DistanceCheck, int, RANSAC.StoppingCondition, boolean) - Constructor for class org.openimaj.math.model.fit.RANSAC
-
Create a RANSAC object with uniform random sampling for creating the
subsets
- RANSAC(M, ResidualCalculator<I, D, M>, double, int, RANSAC.StoppingCondition, boolean, CollectionSampler<IndependentPair<I, D>>) - Constructor for class org.openimaj.math.model.fit.RANSAC
-
Create a RANSAC object
- RANSAC(M, ResidualCalculator<I, D, M>, DistanceCheck, int, RANSAC.StoppingCondition, boolean, CollectionSampler<IndependentPair<I, D>>) - Constructor for class org.openimaj.math.model.fit.RANSAC
-
Create a RANSAC object
- RANSAC.BestFitStoppingCondition - Class in org.openimaj.math.model.fit
-
Stopping condition that allows the RANSAC algorithm to run until all the
iterations have been exhausted.
- RANSAC.NumberInliersStoppingCondition - Class in org.openimaj.math.model.fit
-
Stopping condition that tests the number of matches against a threshold.
- RANSAC.PercentageInliersStoppingCondition - Class in org.openimaj.math.model.fit
-
Stopping condition that tests the number of matches against a percentage
threshold of the whole data.
- RANSAC.ProbabilisticMinInliersStoppingCondition - Class in org.openimaj.math.model.fit
-
Stopping condition that tests the number of matches against a percentage
threshold of the whole data.
- RANSAC.StoppingCondition - Interface in org.openimaj.math.model.fit
-
Interface for classes that can control RANSAC iterations
- rate - Variable in class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
- rates - Variable in class org.openimaj.twitter.USMFStatus
-
Number of users who "rated" this
- rating - Variable in class org.openimaj.twitter.USMFStatus
-
Average "rating" of content
- Rationaliser - Class in org.openimaj.text.nlp.namedentity
-
This class aims to return a list of possible rationalizations of a word that
is out of vocabulary.
- Rationaliser() - Constructor for class org.openimaj.text.nlp.namedentity.Rationaliser
-
- raw_to_mm_shift() - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- raw_to_mm_shift(Pointer<Short>) - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- RawTextAnnotation - Class in org.openimaj.text.nlp.textpipe.annotations
-
- RawTextAnnotation(String) - Constructor for class org.openimaj.text.nlp.textpipe.annotations.RawTextAnnotation
-
- RBFSimilarityDoubleClustererWrapper<T> - Class in org.openimaj.ml.clustering.spectral
-
Construct a similarity matrix using a Radial Basis Function
- RBFSimilarityDoubleClustererWrapper(FeatureExtractor<DoubleFV, T>) - Constructor for class org.openimaj.ml.clustering.spectral.RBFSimilarityDoubleClustererWrapper
-
- RDF_OPENIMAJ_P_CLASSNAME - Static variable in class org.openimaj.rdf.serialize.RDFSerializer
-
Predicate for giving the class name
- RDF_OPENIMAJ_P_COLLECTIONITEM - Static variable in class org.openimaj.rdf.serialize.RDFSerializer
-
Predicate for unnamed collections
- RDF_OPENIMAJ_TMP_GRAPH - Static variable in class org.openimaj.rdf.serialize.RDFSerializer
-
URI used for temporary graph when loading into a store
- rdfAnalysisProvider() - Method in class org.openimaj.tools.twitter.modes.preprocessing.LanguageDetectionMode
-
- rdfAnalysisProvider() - Method in class org.openimaj.tools.twitter.modes.preprocessing.TwitterPreprocessingMode
-
- RDFAnalysisProvider - Interface in org.openimaj.twitter
-
The analysis held in
GeneralJSON
can be translated to JSON very
easily The same analysis cannot be easily translated to RDF so this class
must be registered in GeneralJSONRDF's map to do so.
- RDFCollection - Annotation Type in org.openimaj.rdf.serialize
-
This annotation will force a collection object to be output as an
RDF collection (or sequence) rather than as individual triples when using
the
RDFSerializer
to serialise objects.
- RDFExifTool - Class in com.thebuzzmedia.exiftool
-
- RDFExifTool(String) - Constructor for class com.thebuzzmedia.exiftool.RDFExifTool
-
- rdfFile - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
The RDF file to convert
- RDFSerializer - Class in org.openimaj.rdf.serialize
-
The RDFSerializer is used to serialise an object to RDF.
- RDFSerializer() - Constructor for class org.openimaj.rdf.serialize.RDFSerializer
-
Default constructor
- RDFSerializer(boolean) - Constructor for class org.openimaj.rdf.serialize.RDFSerializer
-
Constructor that determines whether to create predicates automatically when
the
Predicate
annotation does not exist.
- RDFType - Annotation Type in org.openimaj.rdf.serialize
-
An annotation that can be used to specify a URI for the type of
an object as it is serialised to an RDF graph.
- re - Variable in class org.openimaj.math.util.Complex
-
The real part
- read(Scanner, boolean) - Static method in class com.jsaragih.CLM
-
Read a CLM
- read(Scanner, boolean) - Static method in class com.jsaragih.FDet
-
Read the Face detector.
- read(Scanner, boolean) - Static method in class com.jsaragih.MFCheck
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Item
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- read(TProtocol) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- read(InputStream) - Method in class org.openimaj.audio.reader.OneSecondClipReader
-
Read an object from the source
- read(FileObject) - Method in class org.openimaj.data.dataset.VFSListDataset.FileObjectISReader
-
- read(File, Class<T>) - Static method in class org.openimaj.feature.local.list.FileLocalFeatureList
-
Read a file containing a set of local features of a type clz.
- read(File, Class<T>) - Static method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Create a MemoryLocalFeatureList by reading all the local features from
the specified file.
- read(InputStream, Class<T>) - Static method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Create a MemoryLocalFeatureList by reading all the local features from
the specified stream.
- read(BufferedInputStream, Class<T>) - Static method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Create a MemoryLocalFeatureList by reading all the local features from
the specified stream.
- read(InputStream, Class<T>) - Static method in class org.openimaj.feature.local.list.StreamLocalFeatureList
-
Construct a new StreamLocalFeatureList from the given input stream.
- read(BufferedInputStream, Class<T>) - Static method in class org.openimaj.feature.local.list.StreamLocalFeatureList
-
Construct a new StreamLocalFeatureList from the given input stream.
- read(byte[]) - Method in interface org.openimaj.image.annotation.evaluation.datasets.cifar.BinaryReader
-
Read the binary data into an object
- read(byte[]) - Method in class org.openimaj.image.annotation.evaluation.datasets.cifar.FImageReader
-
- read(byte[]) - Method in class org.openimaj.image.annotation.evaluation.datasets.cifar.MBFImageReader
-
- read(File) - Static method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
Read a .siftgeo file.
- read(InputStream) - Static method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
Read .siftgeo file from a stream.
- read(DataInputStream) - Static method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
Read .siftgeo file from a stream.
- read(File) - Static method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
- read(InputStream) - Static method in class org.openimaj.image.indexing.vlad.VLADIndexerData
-
- read(InputStream) - Static method in class org.openimaj.image.objectdetection.haar.OCVHaarLoader
-
Read the cascade from an OpenCV xml serialisation.
- read(InputStream) - Static method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
Deserialize the detector from a stream.
- read(File) - Static method in class org.openimaj.io.FileUtils
-
- read(File) - Static method in class org.openimaj.io.IOUtils
-
Read an object from a file.
- read(File, String) - Static method in class org.openimaj.io.IOUtils
-
Read an object from a file.
- read(File, Class<T>) - Static method in class org.openimaj.io.IOUtils
-
Read a new instance of type class from a file.
- read(File, Class<T>, String) - Static method in class org.openimaj.io.IOUtils
-
Read a new instance of type class from a file.
- read(InputStream, Class<T>) - Static method in class org.openimaj.io.IOUtils
-
Read a new instance of type class from an input stream.
- read(InputStream, Class<T>, String) - Static method in class org.openimaj.io.IOUtils
-
Read a new instance of type class from an input stream.
- read(File, T) - Static method in class org.openimaj.io.IOUtils
-
Open file input stream and call Readable#read(InputStream,T)
- read(File, T, String) - Static method in class org.openimaj.io.IOUtils
-
Open file input stream and call Readable#read(InputStream,T)
- read(InputStream, T) - Static method in class org.openimaj.io.IOUtils
-
Read an instance of an object from an input stream.
- read(InputStream, T, String) - Static method in class org.openimaj.io.IOUtils
-
Read an instance of an object from an input stream.
- read(Reader, T) - Static method in class org.openimaj.io.IOUtils
-
Read an instance of an object from a reader.
- read(Reader, Class<T>) - Static method in class org.openimaj.io.IOUtils
-
Read an instance of an object from a reader.
- read(DataInput) - Static method in class org.openimaj.io.IOUtils
-
- read(SOURCE) - Method in interface org.openimaj.io.ObjectReader
-
Read an object from the source
- read(Kryo, Input, Class<Graph>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.GraphSerialiser
-
- read(Kryo, Input, Class<KestrelServerSpec>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.KestrelServerSpec_Serializer
-
- read(Kryo, Input, Class<Node[]>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.NodeSerialiser_ARRAY
-
- read(Kryo, Input, Class<Node_Blank>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.NodeSerialiser_Blank
-
- read(Kryo, Input, Class<Node_Literal>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.NodeSerialiser_Literal
-
- read(Kryo, Input, Class<Node_URI>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.NodeSerialiser_URI
-
- read(Kryo, Input, Class<Node_Variable>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.NodeSerialiser_Variable
-
- read(Kryo, Input, Class<Rule>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.RuleSerializer
-
- read(Kryo, Input, Class<Template>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.TemplateSerialiser
-
- read(Kryo, Input, Class<Triple>) - Method in class org.openimaj.rdf.storm.utils.JenaStormUtils.TripleSerialiser
-
- read(InputStream, boolean, int) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
Read the file
- read(File, boolean, int) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
Read the file
- read(File) - Method in enum org.openimaj.tools.clusterquantiser.FileType
-
Read a file
- read(InputStream) - Method in enum org.openimaj.tools.clusterquantiser.FileType
-
Read a file
- read(String) - Method in class org.openimaj.tools.imagecollection.collection.config.ImageCollectionConfig
-
- read(String) - Method in class org.openimaj.tools.imagecollection.collection.ImageCollectionConfig
-
- read(File) - Static method in class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
- read(File, Class<T>) - Static method in class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
- read(InputStream, int) - Static method in class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
- read(InputStream, int, Class<T>, Class<? extends GeneralJSON>) - Static method in class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
- read(BufferedInputStream, int, Class<T>, Class<? extends GeneralJSON>) - Static method in class org.openimaj.twitter.collection.MemoryTwitterStatusList
-
- read(InputStream, int) - Static method in class org.openimaj.twitter.collection.StreamJSONStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream) - Static method in class org.openimaj.twitter.collection.StreamJSONStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream, int, String) - Static method in class org.openimaj.twitter.collection.StreamJSONStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream, String) - Static method in class org.openimaj.twitter.collection.StreamJSONStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(BufferedInputStream, int) - Static method in class org.openimaj.twitter.collection.StreamJSONStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(BufferedInputStream, int, String) - Static method in class org.openimaj.twitter.collection.StreamJSONStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream, int) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream, int, String) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream, String) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream, int, Class<T>) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(InputStream, int, Class<? extends GeneralJSON>, Class<T>) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- read(BufferedInputStream, int, Class<? extends GeneralJSON>, Class<T>, String) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(BufferedInputStream, int, Class<T>) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- read(BufferedInputStream, int, Class<T>, String) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
Construct a new StreamTwitterStatusList from the given input stream.
- Readability - Class in org.openimaj.web.readability
-
Class for extracting the "content" from web-pages, and ignoring adverts, etc.
- Readability(Document) - Constructor for class org.openimaj.web.readability.Readability
-
Construct with the given document.
- Readability(Document, boolean) - Constructor for class org.openimaj.web.readability.Readability
-
Construct with the given document.
- Readability(Document, boolean, boolean) - Constructor for class org.openimaj.web.readability.Readability
-
Construct with the given document.
- Readability.MappingNode - Class in org.openimaj.web.readability
-
- Readability.Regexps - Class in org.openimaj.web.readability
-
Regular expressions for different types of content
- readable(File, Class<T>) - Static method in class org.openimaj.io.IOUtils
-
Check whether a given file is readable by a given Writeable class.
- readable(File, String) - Static method in class org.openimaj.io.IOUtils
-
Check whether a file is readable by checking it's first bytes contains
the header.
- readable(File, byte[]) - Static method in class org.openimaj.io.IOUtils
-
Check readability by checking whether a file starts with a given header.
- readable(BufferedInputStream, Class<T>) - Static method in class org.openimaj.io.IOUtils
-
Check whether an InputStream can be read by an instantiated class based
on it's binary and ascii headers.
- readable(BufferedInputStream, String) - Static method in class org.openimaj.io.IOUtils
-
Check whether an input stream starts with a header string.
- readable(BufferedInputStream, byte[]) - Static method in class org.openimaj.io.IOUtils
-
Check whether a stream starts with a header.
- Readable - Interface in org.openimaj.io
-
Interface for objects capable of deserialising themselves from ascii
and/or binary formats.
- Readable2DArrayBinary - Class in org.openimaj.io.wrappers
-
A wrapper for 2D Array that is readable.
- Readable2DArrayBinary(double[][]) - Constructor for class org.openimaj.io.wrappers.Readable2DArrayBinary
-
Construct with a backing matrix
- ReadableArrayBinary<V> - Class in org.openimaj.io.wrappers
-
A wrapper for
List
that is readable.
- ReadableArrayBinary(V[]) - Constructor for class org.openimaj.io.wrappers.ReadableArrayBinary
-
Construct with a backing list
- ReadableASCII - Interface in org.openimaj.io
-
Interface for objects capable of deserialising themselves from ascii
formats.
- ReadableBinary - Interface in org.openimaj.io
-
Interface for objects capable of deserialising themselves from binary formats.
- ReadableGroupDataset<KEY,DATASET extends Dataset<INSTANCE>,INSTANCE,SOURCE> - Class in org.openimaj.data.dataset
-
- ReadableGroupDataset(ObjectReader<INSTANCE, SOURCE>) - Constructor for class org.openimaj.data.dataset.ReadableGroupDataset
-
- ReadableListBinary<V> - Class in org.openimaj.io.wrappers
-
A wrapper for
List
that is readable.
- ReadableListBinary(List<V>) - Constructor for class org.openimaj.io.wrappers.ReadableListBinary
-
Construct with a backing list
- ReadableListDataset<INSTANCE,SOURCE> - Class in org.openimaj.data.dataset
-
- ReadableListDataset(ObjectReader<INSTANCE, SOURCE>) - Constructor for class org.openimaj.data.dataset.ReadableListDataset
-
- ReadableMapBinary<K,V> - Class in org.openimaj.io.wrappers
-
A wrapper for
Map
that is readable.
- ReadableMapBinary(Map<K, V>) - Constructor for class org.openimaj.io.wrappers.ReadableMapBinary
-
Construct with a backing map
- ReadableWritableJSON() - Constructor for class org.openimaj.twitter.collection.StreamJSONStatusList.ReadableWritableJSON
-
- readall(InputStream) - Static method in class org.openimaj.io.FileUtils
-
Utility method for reading a whole file into a single string.
- readall(InputStream, String) - Static method in class org.openimaj.io.FileUtils
-
Utility method for reading a whole file into a single string.
- readall(File) - Static method in class org.openimaj.io.FileUtils
-
Utility method for reading a whole file into a single string.
- readASCII(Scanner) - Method in class org.openimaj.feature.ByteFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.DoubleFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.EnumFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.FloatFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.IntFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.local.FloatLocalFeatureAdaptor
-
- readASCII(Scanner) - Method in class org.openimaj.feature.local.LocalFeatureImpl
-
- readASCII(Scanner) - Method in class org.openimaj.feature.local.quantised.QuantisedLocalFeature
-
- readASCII(Scanner) - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- readASCII(Scanner) - Method in class org.openimaj.feature.local.SpatialLocation
-
- readASCII(Scanner) - Method in class org.openimaj.feature.LongFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.MultidimensionalByteFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.MultidimensionalIntFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.MultidimensionalLongFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.MultidimensionalShortFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.ShortFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.SparseByteFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.SparseDoubleFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.SparseFloatFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.SparseIntFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.SparseLongFV
-
- readASCII(Scanner) - Method in class org.openimaj.feature.SparseShortFV
-
- readASCII(Scanner) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- readASCII(Scanner) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairUnaryCount
-
- readASCII(Scanner) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.WritableEnumCounter
-
- readASCII(Scanner) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.JacardIndex
-
- readASCII(Scanner) - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
- readASCII(Scanner) - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeries
-
- readASCII(Scanner) - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeriesCollection
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.interest.EllipticInterestPointData
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.interest.InterestPointData
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.keypoints.KeypointLocation
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint.MinMaxKeypointLocation
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
- readASCII(Scanner) - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
- readASCII(Scanner) - Method in class org.openimaj.image.pixel.Pixel
-
- readASCII(Scanner) - Method in class org.openimaj.image.pixel.PixelSet
-
- readASCII(Scanner) - Method in class org.openimaj.image.processing.transform.AffineParams
-
- readASCII(Scanner) - Method in interface org.openimaj.io.ReadableASCII
-
Read internal state from in.
- readASCII(Scanner) - Method in class org.openimaj.io.wrappers.ReadWriteableByte
-
- readASCII(Scanner) - Method in class org.openimaj.io.wrappers.ReadWriteableDouble
-
- readASCII(Scanner) - Method in class org.openimaj.io.wrappers.ReadWriteableFloat
-
- readASCII(Scanner) - Method in class org.openimaj.io.wrappers.ReadWriteableInt
-
- readASCII(Scanner) - Method in class org.openimaj.io.wrappers.ReadWriteableLong
-
- readASCII(Scanner) - Method in class org.openimaj.io.wrappers.ReadWriteableShort
-
- readASCII(Scanner) - Method in class org.openimaj.io.wrappers.ReadWriteableString
-
- readASCII(Scanner) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- readASCII(Scanner) - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- readASCII(Scanner) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- readASCII(Scanner) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- readASCII(Scanner) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- readASCII(Scanner) - Method in class org.openimaj.math.matrix.ReadWriteableMatrix
-
- readASCII(Scanner) - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.ByteCentroidsResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.DoubleCentroidsResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.FloatCentroidsResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.IndexClusters
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.IntCentroidsResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.kdtree.KDTreeClusters
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.LongCentroidsResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.rforest.RandomDecisionTree
-
Read/Write RandomDecisionTree (including decision nodes)
- readASCII(Scanner) - Method in class org.openimaj.ml.clustering.ShortCentroidsResult
-
- readASCII(Scanner) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- readASCII(Scanner) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeriesCollection
-
- readASCII(Scanner) - Method in class org.openimaj.picslurper.output.WriteableFailedURL
-
- readASCII(Scanner) - Method in class org.openimaj.picslurper.output.WriteableImageOutput
-
- readASCII(Scanner) - Method in class org.openimaj.picslurper.StatusConsumption
-
- readASCII(Scanner) - Method in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF
-
- readASCII(Scanner) - Method in class org.openimaj.tools.imagecollection.collection.config.ImageCollectionConfig
-
- readASCII(Scanner) - Method in class org.openimaj.tools.imagecollection.collection.ImageCollectionConfig
-
- readASCII(Scanner) - Method in class org.openimaj.tools.imagecollection.collection.ImageCollectionState
-
- readASCII(Scanner) - Method in class org.openimaj.twitter.collection.StreamJSONStatusList.ReadableWritableJSON
-
- readASCII(Scanner) - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- readASCII(Scanner) - Method in class org.openimaj.twitter.GeneralJSONRDF
-
- readASCII(Scanner) - Method in class org.openimaj.twitter.GeneralJSONTwitter
-
- readASCII(Scanner) - Method in class org.openimaj.twitter.GeneralJSONTwitterRawText
-
- readASCII(Scanner) - Method in class org.openimaj.twitter.USMFStatus
-
- readASCII(Scanner) - Method in class org.openimaj.util.array.SparseByteArray
-
- readASCII(Scanner) - Method in class org.openimaj.util.array.SparseDoubleArray
-
- readASCII(Scanner) - Method in class org.openimaj.util.array.SparseFloatArray
-
- readASCII(Scanner) - Method in class org.openimaj.util.array.SparseIntArray
-
- readASCII(Scanner) - Method in class org.openimaj.util.array.SparseLongArray
-
- readASCII(Scanner) - Method in class org.openimaj.util.array.SparseShortArray
-
- readASCII(Scanner) - Method in class org.openimaj.video.tracking.klt.Feature
-
- readBinary(DataInput) - Method in class org.openimaj.feature.ByteFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.DoubleFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.EnumFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.FloatFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.IntFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.local.FloatLocalFeatureAdaptor
-
- readBinary(DataInput) - Method in class org.openimaj.feature.local.list.LocalFeatureListIndex
-
- readBinary(DataInput) - Method in class org.openimaj.feature.local.LocalFeatureImpl
-
- readBinary(DataInput) - Method in class org.openimaj.feature.local.quantised.QuantisedLocalFeature
-
- readBinary(DataInput) - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- readBinary(DataInput) - Method in class org.openimaj.feature.local.SpatialLocation
-
- readBinary(DataInput) - Method in class org.openimaj.feature.LongFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.MultidimensionalByteFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.MultidimensionalIntFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.MultidimensionalLongFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.MultidimensionalShortFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.ShortFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.SparseByteFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.SparseDoubleFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.SparseFloatFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.SparseIntFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.SparseLongFV
-
- readBinary(DataInput) - Method in class org.openimaj.feature.SparseShortFV
-
- readBinary(DataInput) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder
-
- readBinary(DataInput) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency
-
- readBinary(DataInput) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- readBinary(DataInput) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairUnaryCount
-
- readBinary(DataInput) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordDFIDFValue
-
- readBinary(DataInput) - Method in class org.openimaj.hadoop.tools.twitter.utils.TimeperiodTweetCountWordCount
-
- readBinary(DataInput) - Method in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
- readBinary(DataInput) - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.interest.EllipticInterestPointData
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.interest.InterestPointData
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.keypoints.InterestPointKeypoint
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.keypoints.KeypointLocation
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint.MinMaxKeypointLocation
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
- readBinary(DataInput) - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
- readBinary(DataInput) - Method in class org.openimaj.image.model.EigenImages
-
- readBinary(DataInput) - Method in class org.openimaj.image.model.FisherImages
-
- readBinary(DataInput) - Method in class org.openimaj.image.pixel.Pixel
-
- readBinary(DataInput) - Method in class org.openimaj.image.pixel.PixelSet
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.alignment.AffineAligner
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.alignment.IdentityAligner
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.alignment.MeshWarpAligner
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.alignment.RotateScaleAligner
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.alignment.ScalingAligner
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.CCDetectedFace
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.CLMDetectedFace
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.CLMFaceDetector
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.IdentityFaceDetector
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.keypoints.KEDetectedFace
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.CLMPoseFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.CLMPoseFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.CLMShapeFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.CLMShapeFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.comparison.FaceFVComparator
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.comparison.LtpDtFeatureComparator
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.comparison.ReversedLtpDtFeatureComparator
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.DoGSIFTFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.DoGSIFTFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.EigenFaceFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.EigenFaceFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.FaceImageFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.FaceImageFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature.DetectedFacePart
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.FisherFaceFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.FisherFaceFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.LocalLBPHistogram.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.LocalLBPHistogram
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.ltp.AbstractLtpDtFeature
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.ltp.GaussianWeighting
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.ltp.LtpDtFeature.Extractor
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.feature.ltp.TruncatedWeighting
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- readBinary(DataInput) - Method in class org.openimaj.image.processing.transform.AffineParams
-
- readBinary(DataInput) - Method in interface org.openimaj.io.ReadableBinary
-
Read internal state from in.
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.Readable2DArrayBinary
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadableArrayBinary
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadableListBinary
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadableMapBinary
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWritableIndependentPair
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableByte
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableDouble
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableFloat
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableInt
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableListBinary
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableLong
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableShort
-
- readBinary(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableString
-
- readBinary(DataInput) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- readBinary(DataInput) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- readBinary(DataInput) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- readBinary(DataInput) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- readBinary(DataInput) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- readBinary(DataInput) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- readBinary(DataInput) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- readBinary(DataInput) - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- readBinary(DataInput) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- readBinary(DataInput) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- readBinary(DataInput) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- readBinary(DataInput) - Method in class org.openimaj.math.matrix.ReadWriteableMatrix
-
- readBinary(DataInput) - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.ByteCentroidsResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.DoubleCentroidsResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.FloatCentroidsResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.IndexClusters
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.IntCentroidsResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.kdtree.KDTreeClusters
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.LongCentroidsResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.rforest.RandomDecision
-
Read decision
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.rforest.RandomDecisionTree
-
Read/Write RandomDecisionTree (including decision nodes)
- readBinary(DataInput) - Method in class org.openimaj.ml.clustering.ShortCentroidsResult
-
- readBinary(DataInput) - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- readBinary(DataInput) - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- readBinary(DataInput) - Method in class org.openimaj.picslurper.output.WriteableFailedURL
-
- readBinary(DataInput) - Method in class org.openimaj.picslurper.output.WriteableImageOutput
-
- readBinary(DataInput) - Method in class org.openimaj.picslurper.StatusConsumption
-
- readBinary(DataInput) - Method in class org.openimaj.text.nlp.language.LanguageModel
-
- readBinary(DataInput) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
- readBinary(DataInput) - Method in class org.openimaj.twitter.collection.StreamJSONStatusList.ReadableWritableJSON
-
- readBinary(DataInput) - Method in class org.openimaj.twitter.GeneralJSON
-
- readBinary(DataInput) - Method in class org.openimaj.util.array.SparseByteArray
-
- readBinary(DataInput) - Method in class org.openimaj.util.array.SparseDoubleArray
-
- readBinary(DataInput) - Method in class org.openimaj.util.array.SparseFloatArray
-
- readBinary(DataInput) - Method in class org.openimaj.util.array.SparseIntArray
-
- readBinary(DataInput) - Method in class org.openimaj.util.array.SparseLongArray
-
- readBinary(DataInput) - Method in class org.openimaj.util.array.SparseShortArray
-
- readBinary(DataInput) - Method in class org.openimaj.video.tracking.klt.Feature
-
- readCorpus() - Method in interface org.openimaj.pgm.util.CorpusReader
-
- readCorpus() - Method in class org.openimaj.pgm.util.SimpleCorpusReader
-
- readData(File, boolean, int) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
Read the data
- readData(File, int[], boolean, int) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
Read the data
- readData(Scanner, Header, int) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
- reader - Variable in class org.openimaj.data.dataset.ReadableGroupDataset
-
- reader - Variable in class org.openimaj.data.dataset.ReadableListDataset
-
- Reader - Class in org.openimaj.tools.web
-
Command-line driver for the readability4j engine.
- Reader() - Constructor for class org.openimaj.tools.web.Reader
-
- ReaderOptions - Class in org.openimaj.tools.web
-
Options for the Reader command-line program.
- ReaderOptions() - Constructor for class org.openimaj.tools.web.ReaderOptions
-
- readF(File) - Static method in class org.openimaj.image.ImageUtilities
-
Reads an
FImage
from the given file.
- readF(InputStream) - Static method in class org.openimaj.image.ImageUtilities
-
Reads an
FImage
from the given input stream.
- readF(URL) - Static method in class org.openimaj.image.ImageUtilities
-
Reads an
FImage
from the given URL.
- readF(DataInput) - Static method in class org.openimaj.image.ImageUtilities
-
Read an
FImage
from a DataInput
- readFeatures(File, int...) - Method in enum org.openimaj.tools.clusterquantiser.FileType
-
Read features at given indices from the file.
- readFeatures(InputStream, int...) - Method in enum org.openimaj.tools.clusterquantiser.FileType
-
Read features at given indices from an input stream.
- readFeatures(File) - Method in enum org.openimaj.tools.clusterquantiser.FileType
-
Read all the features from the file.
- readFeatures(InputStream) - Method in enum org.openimaj.tools.clusterquantiser.FileType
-
Read all the features from the file.
- readFields(DataInput) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.MapperOut
-
- readFile(FileSystem, Path) - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- readFile(FileSystem, Path) - Method in class org.openimaj.hadoop.sequencefile.TextBytesSequenceFileUtility
-
- readFile(FileSystem, Path) - Method in class org.openimaj.hadoop.tools.fastkmeans.IntBytesSequenceMemoryUtility
-
- readFile(FileSystem, Path) - Method in class org.openimaj.hadoop.tools.fastkmeans.TextBytesSequenceMemoryUtility
-
- readFirst(DataInput) - Method in class org.openimaj.io.wrappers.ReadWritableIndependentPair
-
- readFrom(Scanner) - Static method in class ch.akuhn.matrix.SparseMatrix
-
- readFromFile(File) - Static method in class org.openimaj.io.IOUtils
-
- readHeader(File, boolean) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
Read the header
- readHeader(Scanner, boolean) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
- readHeader(File) - Method in enum org.openimaj.tools.clusterquantiser.FileType
-
Read the header (num features and dimensionality of features) from given
file.
- readHeader(InputStream) - Method in enum org.openimaj.tools.clusterquantiser.FileType
-
Read the header (num features and dimensionality of features) from given
file.
- readHomography(File) - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
- readHomography(InputStream) - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
- readIntDataLine(String) - Method in class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader
-
- readKey(DataInput) - Method in class org.openimaj.io.wrappers.ReadableMapBinary
-
- readLine(Scanner, Header, int) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
- readlines(String) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
Read a whole hadoop file into a string.
- readlines(File) - Static method in class org.openimaj.io.FileUtils
-
- readlines(File, String) - Static method in class org.openimaj.io.FileUtils
-
- readlines(InputStream) - Static method in class org.openimaj.io.FileUtils
-
- readlines(InputStream, String) - Static method in class org.openimaj.io.FileUtils
-
- readMat(Scanner) - Static method in class com.jsaragih.IO
-
Read a matrix
- readMatlabInterestPoints(InputStream) - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Read an ellipses from the matlab interest point files
- readMBF(File) - Static method in class org.openimaj.image.ImageUtilities
-
- readMBF(InputStream) - Static method in class org.openimaj.image.ImageUtilities
-
Reads an
MBFImage
from the given input stream.
- readMBF(URL) - Static method in class org.openimaj.image.ImageUtilities
-
- readMBFAlpha(File) - Static method in class org.openimaj.image.ImageUtilities
-
- readMBFAlpha(InputStream) - Static method in class org.openimaj.image.ImageUtilities
-
Reads an
MBFImage
from the given input stream.
- readMBFAlpha(URL) - Static method in class org.openimaj.image.ImageUtilities
-
- readNoHeader(DataInput, Class<T>) - Static method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Create a MemoryLocalFeatureList by reading all the local features from
the specified
DataInput
.
- readRecord(DataInput) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- readRecord(DataInput) - Method in class org.openimaj.util.list.AbstractStreamBackedList
-
- readRecordASCII(Scanner) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- readRecordASCII(Scanner) - Method in class org.openimaj.util.list.AbstractStreamBackedList
-
- readSampleBatches(File) - Static method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
Read batches from a file
- readSecond(DataInput) - Method in class org.openimaj.io.wrappers.ReadWritableIndependentPair
-
- readSentiSet(String) - Method in class org.openimaj.text.nlp.sentiment.BillMPQASentiment
-
- readStatus(String) - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
- readStatusPart(String) - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenToolOptions
-
Read json from text and try to extract the part to the type required
- readString(String) - Method in class org.openimaj.ml.clustering.rforest.RandomDecision
-
Read decision from a string
- readTimeCountLines(String) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord
-
from a report output path get the words
- readTimeCountLines(String) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.TimeIndex
-
from a report output path get the words
- readTimeIndex(Path) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
- readURL(URL) - Static method in class org.openimaj.io.HttpUtils
-
- readURL(URL, boolean) - Static method in class org.openimaj.io.HttpUtils
-
- readURL(URL, T) - Static method in class org.openimaj.io.HttpUtils
-
Read the internal state of an object from the given URL.
- readURL(URL, Class<? extends T>) - Static method in class org.openimaj.io.HttpUtils
-
Read the an object from the given URL.
- readURL(URL, Q) - Static method in class org.openimaj.io.HttpUtils
-
Read the an object from the given URL.
- readURLAsByteArrayInputStream(URL, boolean) - Static method in class org.openimaj.io.HttpUtils
-
- readURLAsByteArrayInputStream(URL, RedirectStrategy) - Static method in class org.openimaj.io.HttpUtils
-
- readURLAsByteArrayInputStream(URL, int, int, RedirectStrategy, String) - Static method in class org.openimaj.io.HttpUtils
-
- readURLAsBytes(URL) - Static method in class org.openimaj.io.HttpUtils
-
Read the contents of the given
URL
as an array of bytes.
- readURLAsBytes(URL, boolean) - Static method in class org.openimaj.io.HttpUtils
-
Read the contents of the given
URL
as an array of bytes.
- readURLAsStream(URL) - Static method in class org.openimaj.io.HttpUtils
-
- readURLAsStream(URL, boolean) - Static method in class org.openimaj.io.HttpUtils
-
- readUSMF(File) - Static method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- readUSMF(File, String) - Static method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- readUSMF(File, int) - Static method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- readUSMF(File, String, int) - Static method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- readUSMF(File, String, Class<? extends GeneralJSON>) - Static method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- readUSMF(File, int, String, Class<? extends GeneralJSON>) - Static method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- readUSMF(File, Class<? extends GeneralJSON>) - Static method in class org.openimaj.twitter.collection.FileTwitterStatusList
-
- readUSMF(InputStream, Class<? extends GeneralJSON>) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- readUSMF(InputStream, Class<? extends GeneralJSON>, String) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- readUSMF(InputStream, int, Class<? extends GeneralJSON>, String) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- readUSMF(InputStream, int, Class<? extends GeneralJSON>) - Static method in class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- readValue(DataInput) - Method in class org.openimaj.io.wrappers.ReadableArrayBinary
-
- readValue(DataInput) - Method in class org.openimaj.io.wrappers.ReadableListBinary
-
- readValue(DataInput) - Method in class org.openimaj.io.wrappers.ReadableMapBinary
-
- readValue(DataInput) - Method in class org.openimaj.io.wrappers.ReadWriteableListBinary
-
- readWordCountLines(String) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex
-
- readWordCountLines(String, String) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex
-
from a report output path get the words
- readWordDFIDF(String, LinkedHashMap<Long, IndependentPair<Long, Long>>, LinkedHashMap<String, IndependentPair<Long, Long>>) - Static method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.Values
-
Construct a time series per word
- ReadWritableIndependentPair<A,B> - Class in org.openimaj.io.wrappers
-
Base class for writing any independent pair.
- ReadWritableIndependentPair(A, B) - Constructor for class org.openimaj.io.wrappers.ReadWritableIndependentPair
-
initialise with data
- ReadWritableIndependentPair(IndependentPair<A, B>) - Constructor for class org.openimaj.io.wrappers.ReadWritableIndependentPair
-
initialise with an existing pair
- ReadWriteable - Interface in org.openimaj.io
-
Interface for objects capable of serialising and deserialising
themselves to and from ascii and/or binary formats.
- ReadWriteableASCII - Interface in org.openimaj.io
-
Interface for objects capable of serialising and deserialising
themselves to and from ascii format.
- ReadWriteableBinary - Interface in org.openimaj.io
-
Interface for objects capable of serialising and deserialising
themselves to and from binary format.
- ReadWriteableByte - Class in org.openimaj.io.wrappers
-
A wrapper around byte that can be read and written.
- ReadWriteableByte(byte) - Constructor for class org.openimaj.io.wrappers.ReadWriteableByte
-
Construct the wrapper with the given value.
- ReadWriteableByte() - Constructor for class org.openimaj.io.wrappers.ReadWriteableByte
-
Construct the wrapper with the value of 0.
- ReadWriteableDouble - Class in org.openimaj.io.wrappers
-
A wrapper around double that can be read and written.
- ReadWriteableDouble(double) - Constructor for class org.openimaj.io.wrappers.ReadWriteableDouble
-
Construct the wrapper with the given value.
- ReadWriteableDouble() - Constructor for class org.openimaj.io.wrappers.ReadWriteableDouble
-
Construct the wrapper with the value of 0.
- ReadWriteableFloat - Class in org.openimaj.io.wrappers
-
A wrapper around float that can be read and written.
- ReadWriteableFloat(float) - Constructor for class org.openimaj.io.wrappers.ReadWriteableFloat
-
Construct the wrapper with the given value.
- ReadWriteableFloat() - Constructor for class org.openimaj.io.wrappers.ReadWriteableFloat
-
Construct the wrapper with the value of 0.
- ReadWriteableInt - Class in org.openimaj.io.wrappers
-
A wrapper around int that can be read and written.
- ReadWriteableInt(int) - Constructor for class org.openimaj.io.wrappers.ReadWriteableInt
-
Construct the wrapper with the given value.
- ReadWriteableInt() - Constructor for class org.openimaj.io.wrappers.ReadWriteableInt
-
Construct the wrapper with the value of 0.
- ReadWriteableListBinary<V> - Class in org.openimaj.io.wrappers
-
- ReadWriteableListBinary(List<V>) - Constructor for class org.openimaj.io.wrappers.ReadWriteableListBinary
-
Construct with the given list.
- ReadWriteableLong - Class in org.openimaj.io.wrappers
-
A wrapper around long that can be read and written.
- ReadWriteableLong(long) - Constructor for class org.openimaj.io.wrappers.ReadWriteableLong
-
Construct the wrapper with the given value.
- ReadWriteableLong() - Constructor for class org.openimaj.io.wrappers.ReadWriteableLong
-
Construct the wrapper with the value of 0.
- ReadWriteableMatrix - Class in org.openimaj.math.matrix
-
A wrapper around a JAMA Matrix that is read-writeable by
OpenIMAJ IOUtils.
- ReadWriteableMatrix() - Constructor for class org.openimaj.math.matrix.ReadWriteableMatrix
-
Construct a new matrix of zero size.
- ReadWriteableMatrix(double[][]) - Constructor for class org.openimaj.math.matrix.ReadWriteableMatrix
-
Construct a matrix using the provided 2-D double array.
- ReadWriteableMatrix(int, int) - Constructor for class org.openimaj.math.matrix.ReadWriteableMatrix
-
Construct a new matrix of the given size
- ReadWriteableMatrix(Matrix) - Constructor for class org.openimaj.math.matrix.ReadWriteableMatrix
-
Construct a matrix using the provided matrix.
- ReadWriteableShort - Class in org.openimaj.io.wrappers
-
A wrapper around short that can be read and written.
- ReadWriteableShort(short) - Constructor for class org.openimaj.io.wrappers.ReadWriteableShort
-
Construct the wrapper with the given value.
- ReadWriteableShort() - Constructor for class org.openimaj.io.wrappers.ReadWriteableShort
-
Construct the wrapper with the value of 0.
- ReadWriteableString - Class in org.openimaj.io.wrappers
-
A wrapper around a String that can be read and written.
- ReadWriteableString(String) - Constructor for class org.openimaj.io.wrappers.ReadWriteableString
-
Construct a ReadWriteableString with the given value
- ReadWriteableString() - Constructor for class org.openimaj.io.wrappers.ReadWriteableString
-
Construct a ReadWriteableString with an empty string
- real_name - Variable in class org.openimaj.twitter.USMFStatus.User
-
Real name of user
- RealFFTUtils_2D - Class in edu.emory.mathcs.jtransforms.fft
-
This is a set of utility methods for R/W access to data resulting from a call
to the Fourier transform of real data.
- RealFFTUtils_2D(int, int) - Constructor for class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_2D
-
Creates a new instance of this class.
- RealFFTUtils_3D - Class in edu.emory.mathcs.jtransforms.fft
-
This is a set of utility methods for R/W access to data resulting from a call
to the Fourier transform of real data.
- RealFFTUtils_3D(int, int, int) - Constructor for class edu.emory.mathcs.jtransforms.fft.RealFFTUtils_3D
-
Creates a new instance of this class.
- realForward(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D forward DFT of real data leaving the result in a
.
- realForward(double[], int) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D forward DFT of real data leaving the result in a
.
- realForward(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D forward DFT of real data leaving the result in a
.
- realForward(double[][]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D forward DFT of real data leaving the result in a
.
- realForward(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D forward DFT of real data leaving the result in a
.
- realForward(double[][][]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D forward DFT of real data leaving the result in a
.
- realForward(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D forward DFT of real data leaving the result in a
.
- realForward(float[], int) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D forward DFT of real data leaving the result in a
.
- realForward(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D forward DFT of real data leaving the result in a
.
- realForward(float[][]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D forward DFT of real data leaving the result in a
.
- realForward(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D forward DFT of real data leaving the result in a
.
- realForward(float[][][]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D forward DFT of real data leaving the result in a
.
- realForwardFull(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D forward DFT of real data leaving the result in a
.
- realForwardFull(double[], int) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D forward DFT of real data leaving the result in a
.
- realForwardFull(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D forward DFT of real data leaving the result in a
.
- realForwardFull(double[][]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D forward DFT of real data leaving the result in a
.
- realForwardFull(double[]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D forward DFT of real data leaving the result in a
.
- realForwardFull(double[][][]) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D forward DFT of real data leaving the result in a
.
- realForwardFull(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D forward DFT of real data leaving the result in a
.
- realForwardFull(float[], int) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D forward DFT of real data leaving the result in a
.
- realForwardFull(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D forward DFT of real data leaving the result in a
.
- realForwardFull(float[][]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D forward DFT of real data leaving the result in a
.
- realForwardFull(float[]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D forward DFT of real data leaving the result in a
.
- realForwardFull(float[][][]) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D forward DFT of real data leaving the result in a
.
- realInverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D inverse DFT of real data leaving the result in a
.
- realInverse(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D inverse DFT of real data leaving the result in a
.
- realInverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D inverse DFT of real data leaving the result in a
.
- realInverse(double[][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D inverse DFT of real data leaving the result in a
.
- realInverse(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D inverse DFT of real data leaving the result in a
.
- realInverse(double[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D inverse DFT of real data leaving the result in a
.
- realInverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D inverse DFT of real data leaving the result in a
.
- realInverse(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D inverse DFT of real data leaving the result in a
.
- realInverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D inverse DFT of real data leaving the result in a
.
- realInverse(float[][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D inverse DFT of real data leaving the result in a
.
- realInverse(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D inverse DFT of real data leaving the result in a
.
- realInverse(float[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D inverse DFT of real data leaving the result in a
.
- realInverse2(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
- realInverse2(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
- realInverseFull(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D inverse DFT of real data leaving the result in a
.
- realInverseFull(double[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_1D
-
Computes 1D inverse DFT of real data leaving the result in a
.
- realInverseFull(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D inverse DFT of real data leaving the result in a
.
- realInverseFull(double[][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_2D
-
Computes 2D inverse DFT of real data leaving the result in a
.
- realInverseFull(double[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D inverse DFT of real data leaving the result in a
.
- realInverseFull(double[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.DoubleFFT_3D
-
Computes 3D inverse DFT of real data leaving the result in a
.
- realInverseFull(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D inverse DFT of real data leaving the result in a
.
- realInverseFull(float[], int, boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_1D
-
Computes 1D inverse DFT of real data leaving the result in a
.
- realInverseFull(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D inverse DFT of real data leaving the result in a
.
- realInverseFull(float[][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_2D
-
Computes 2D inverse DFT of real data leaving the result in a
.
- realInverseFull(float[], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D inverse DFT of real data leaving the result in a
.
- realInverseFull(float[][][], boolean) - Method in class edu.emory.mathcs.jtransforms.fft.FloatFFT_3D
-
Computes 3D inverse DFT of real data leaving the result in a
.
- RealTimeWindowFunction<IN> - Class in org.openimaj.util.stream.window
-
Given a period of time to wait in milliseconds, this function consumes
a stream for that period of time and produces a new stream of lists representing windows of that time period
- RealTimeWindowFunction(long) - Constructor for class org.openimaj.util.stream.window.RealTimeWindowFunction
-
- reason - Variable in class org.openimaj.picslurper.output.WriteableFailedURL
-
- recalculateCumulativeFrequencies() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder
-
- recall(int) - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
Returns the recall of the retrieval at a given number of documents retrieved.
- recall() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
- reciprocalRank() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
Returns the reciprocal of the rank of the first relevant document
retrieved, or zero if no relevant documents were retrieved.
- recognise(FImage) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
Detect and recognise the faces in the given image, returning a list of
potential people for each face.
- recognise(FImage, Set<PERSON>) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
Detect and recognise the faces in the given image, returning a list of
potential people for each face.
- recogniseBest(FImage) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
Detect and recognise the faces in the given image, returning the most
likely person for each face.
- recogniseBest(FImage, Set<PERSON>) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
Detect and recognise the faces in the given image, returning the most
likely person for each face.
- recogniser - Variable in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- RecognitionEngineProvider<FACE extends DetectedFace> - Interface in org.openimaj.tools.faces.recognition.options
-
Interface for objects capable of providing configured recognition engines
- RecognitionStrategy - Enum in org.openimaj.tools.faces.recognition.options
-
Standard recognition strategies
- recomputeBias(double[][], double[][], boolean[]) - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
- recomputeSubsets() - Method in class org.openimaj.experiment.dataset.split.GroupedRandomSplitter
-
Recompute the underlying splits of the training, validation and testing
data by randomly picking new subsets of the input dataset given in the
constructor.
- reconstruct(DoubleFV) - Method in class org.openimaj.image.model.EigenImages
-
Reconstruct an image from a weight vector
- reconstruct(double[]) - Method in class org.openimaj.image.model.EigenImages
-
Reconstruct an image from a weight vector
- Record(FileObject) - Constructor for class org.openimaj.image.annotation.evaluation.datasets.Caltech101.Record
-
- Record() - Constructor for class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Record
-
- record(FeatureList, int) - Method in class org.openimaj.video.tracking.klt.FeatureHistory
-
Record a list of features at a given time
- RecordIndexMapper - Class in org.openimaj.hadoop.tools.sequencefile.index
-
- RecordIndexMapper() - Constructor for class org.openimaj.hadoop.tools.sequencefile.index.RecordIndexMapper
-
- RecordInformationExtractor - Interface in org.openimaj.hadoop.sequencefile
-
Interface for objects capable of producing an information
snippet (as a
String
) from a record (key-value pair)
in a SequenceFile.
- recordLength - Variable in class org.openimaj.util.list.AbstractFileBackedList
-
- recordLength - Variable in class org.openimaj.util.list.AbstractStreamBackedList
-
The length (in bytes) of each item held in the list
- Rectangle - Class in org.openimaj.math.geometry.shape
-
A rectangle shape oriented to the axes.
- Rectangle() - Constructor for class org.openimaj.math.geometry.shape.Rectangle
-
Construct a unit rectangle
- Rectangle(float, float, float, float) - Constructor for class org.openimaj.math.geometry.shape.Rectangle
-
Construct a Rectangle with the given parameters.
- Rectangle(Rectangle) - Constructor for class org.openimaj.math.geometry.shape.Rectangle
-
Construct a Rectangle by copying from another rectangle.
- Rectangle(Point2d, Point2d) - Constructor for class org.openimaj.math.geometry.shape.Rectangle
-
Construct a Rectangle with the given parameters.
- Rectangle3D - Class in org.openimaj.math.geometry.shape
-
A rectangle in 3D space.
- Rectangle3D() - Constructor for class org.openimaj.math.geometry.shape.Rectangle3D
-
- Rectangle3DPlotter - Class in org.openimaj.vis.general
-
Plots rectangles into a 3D space.
- Rectangle3DPlotter(int, int) - Constructor for class org.openimaj.vis.general.Rectangle3DPlotter
-
Create a visualisation with the given size
- Rectangle3DPlotter.RectanglePlotPosition - Enum in org.openimaj.vis.general
-
Where the actual position of the rectangle is relative to the geometry.
- RectangleSampler - Class in org.openimaj.image.pixel.sampling
-
A
RectangleSampler
provides an easy way to generate a sliding window
of rectangle over an image or other domain.
- RectangleSampler(float, float, float, float, float, float, float, float) - Constructor for class org.openimaj.image.pixel.sampling.RectangleSampler
-
Construct the sampler with the given parameters
- RectangleSampler(Rectangle, float, float, float, float) - Constructor for class org.openimaj.image.pixel.sampling.RectangleSampler
-
Construct the sampler with the given parameters
- RectangleSampler(Image<?, ?>, float, float, float, float) - Constructor for class org.openimaj.image.pixel.sampling.RectangleSampler
-
Construct the sampler with the given parameters
- rects - Variable in class org.openimaj.image.objectdetection.haar.HaarFeature
-
The rectangles that make up this feature.
- recv_abort() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- recv_confirm() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- recv_delete_queue() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- recv_flush_all_queues() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- recv_flush_queue() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- recv_get() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- recv_get_version() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- recv_peek() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- recv_put() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- RED - Static variable in class org.openimaj.image.colour.RGBColour
-
Red colour as RGB
- RED - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Right edge
- REDDIT_BASE_URL - Static variable in class org.openimaj.tools.reddit.RedditHarvesterOptions
-
the root reddit url
- RedditHarvester - Class in org.openimaj.tools.reddit
-
Harvest
- RedditHarvester(String[]) - Constructor for class org.openimaj.tools.reddit.RedditHarvester
-
- RedditHarvesterOptions - Class in org.openimaj.tools.reddit
-
- RedditHarvesterOptions(String[], boolean) - Constructor for class org.openimaj.tools.reddit.RedditHarvesterOptions
-
- RedditHarvesterOptions(String[]) - Constructor for class org.openimaj.tools.reddit.RedditHarvesterOptions
-
- redetectedBounds - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
The redetected bounds: R
- redirection() - Method in class org.openimaj.picslurper.StatusConsumer.StatusConsumerRedirectStrategy
-
- reduce(IntWritable, Iterable<BytesWritable>, Reducer<IntWritable, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Combine
-
- Reduce() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Reduce
-
- reduce(IntWritable, Iterable<BytesWritable>, Reducer<IntWritable, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Reduce
-
- Reduce() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.FeatureCount.Reduce
-
- reduce(Text, Iterable<IntWritable>, Reducer<Text, IntWritable, Text, IntWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureCount.Reduce
-
- Reduce() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect.Reduce
-
- reduce(IntWritable, Iterable<BytesWritable>, Reducer<IntWritable, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect.Reduce
-
- Reduce() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect.Reduce
-
- reduce(Text, Iterable<BytesWritable>, Reducer<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect.Reduce
-
- reduce(HadoopSiftLSHExtractor.MapperOut, Iterable<Text>, Reducer<HadoopSiftLSHExtractor.MapperOut, Text, IntWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.LSHReducer
-
- reduce(Text, Iterable<BytesWritable>, Reducer<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.HadoopCounterTest.CounterReducer
-
- reduce(LongWritable, Iterable<Text>, Reducer<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.HadoopLZOTest.CounterReducer
-
- reduce(LongWritable, Iterable<BytesWritable>, Reducer<LongWritable, BytesWritable, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.InMemoryCombiningReducer
-
- reduce(LongWritable, Iterable<BytesWritable>, Reducer<LongWritable, BytesWritable, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.TimeIndexReducer
-
- reduce(Text, Iterable<BytesWritable>, Reducer<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.NonCombinedTimesReducer
-
- Reduce() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.Reduce
-
default construct does nothing
- reduce(Text, Iterable<BytesWritable>, Reducer<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.Reduce
-
- reduce(BytesWritable, Iterable<BytesWritable>, Reducer<BytesWritable, BytesWritable, BytesWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmitCombiner
-
- reduce(BytesWritable, Iterable<BytesWritable>, Reducer<BytesWritable, BytesWritable, BytesWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmitCounter
-
- reduce(BytesWritable, Iterable<BytesWritable>, Reducer<BytesWritable, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortReducer
-
- reduce(DoubleWritable, Iterable<Text>, Reducer<DoubleWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.PValueWordReducer
-
- reduce(Text, Iterable<BytesWritable>, Reducer<Text, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordValueCorrelationReducer
-
For each word,
- reduce(LongWritable, Iterable<Text>, Reducer<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeJacardReducer
-
- reduce(BytesWritable, Iterable<BooleanWritable>, Reducer<BytesWritable, BooleanWritable, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord.IntersectionUnionReduce
-
- reduce(LongWritable, Iterable<BytesWritable>, Reducer<LongWritable, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord.JacardReduce
-
- reduce(LongWritable, Iterable<BytesWritable>, Reducer<LongWritable, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.ReduceValuesByTime
-
- reduce(NullWritable, Iterable<Text>, Reducer<NullWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.ReduceValuesByWord
-
- Reduce() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.TimeIndex.Reduce
-
- reduce(LongWritable, Iterable<LongWritable>, Reducer<LongWritable, LongWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.TimeIndex.Reduce
-
- Reduce() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex.Reduce
-
- reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, LongWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex.Reduce
-
- Reduce() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndexSort.Reduce
-
- reduce(LongWritable, Iterable<Text>, Reducer<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndexSort.Reduce
-
- reduce(Text, Iterable<BytesWritable>, Reducer<Text, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.WordDFIDFTimeSeriesReducer
-
- reduce() - Method in class org.openimaj.math.combinatorics.optimisation.HungarianAlgorithm
-
Reduce the cost matrix by subtracting the smallest element of each row
from all elements of the row as well as the smallest element of each
column from all elements of the column.
- reducer() - Method in class org.openimaj.hadoop.mapreduce.stage.helper.MultipleOutputStage
-
- reducer() - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
- reducer() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
- reducer() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
- reducer() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordSort
-
- reducer() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.TimeWordJacardIndex
-
- reduceRank(Matrix, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Reduce the rank a matrix by estimating a the best (in a least-squares sense)
approximation using the thin SVD.
- reduceRank(Matrix, int) - Static method in class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
Reduce the rank of the input matrix using the thin SVD to get a lower
rank least-squares estimate of the input.
- ReducerModeOption - Enum in org.openimaj.hadoop.tools.twitter
-
A style of reducer
- ReduceValuesByTime - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
Writes each word,count
- ReduceValuesByTime() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.ReduceValuesByTime
-
construct the reduce instance, do nothing
- ReduceValuesByWord - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
Writes each word,count
- ReduceValuesByWord() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.ReduceValuesByWord
-
construct the reduce instance, do nothing
- reduceVertices(double) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Reduce the number of vertices in a polygon.
- Reference - Annotation Type in org.openimaj.citation.annotation
-
Annotation for bibtex-style references inside the code.
- reference - Variable in class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
- reference - Variable in class orgrdfs.sioc.ns.PostImpl
-
Links either created explicitly or extracted implicitly on the HTML level
from the Post.
- reference_distance() - Method in class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- reference_distance(float) - Method in class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- reference_pixel_size() - Method in class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- reference_pixel_size(float) - Method in class org.openimaj.hardware.kinect.freenect.freenect_zero_plane_info
-
- referenceCog - Variable in class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
- ReferenceFormatter - Interface in org.openimaj.citation.annotation.output
-
- ReferenceListener - Class in org.openimaj.citation
-
Listener that registers instances of
Reference
annotations.
- ReferenceListener() - Constructor for class org.openimaj.citation.ReferenceListener
-
- ReferenceProcessor - Class in org.openimaj.citation.annotation.processor
-
- ReferenceProcessor() - Constructor for class org.openimaj.citation.annotation.processor.ReferenceProcessor
-
- References - Annotation Type in org.openimaj.citation.annotation
-
Annotation for multiple bibtex-style references inside the code.
- ReferencesClassTransformer - Class in org.openimaj.citation
-
ClassTransformer
that dynamically augments classes and methods
annotated with
Reference
or
References
annotations to
register the annotations with a global listener if the class is constructed,
or the method is invoked.
- ReferencesClassTransformer() - Constructor for class org.openimaj.citation.ReferencesClassTransformer
-
- referenceShape - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
The reference shape
- referenceShape - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
The reference shape
- referenceShape - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackerVars
-
The reference shape
- ReferencesTool - Class in org.openimaj.tools
-
A tool for running another program and extracting a bibliography for all the
annotated methods and classes that are used during the programs execution.
- ReferencesTool() - Constructor for class org.openimaj.tools.ReferencesTool
-
- ReferencesToolOpts - Class in org.openimaj.tools
-
Options for the References Tool
- ReferencesToolOpts(String[]) - Constructor for class org.openimaj.tools.ReferencesToolOpts
-
Load the options from the arguments string
- referenceTriangles - Variable in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- ReferenceType - Enum in org.openimaj.citation.annotation
-
Standard BibTeX types.
- refine(Matrix, List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Method in enum org.openimaj.math.geometry.transforms.FundamentalRefinement
-
Refine an initial guess at the homography that takes the first points in
data to the second using non-linear Levenberg Marquardt optimisation.
- refine(Matrix, List<? extends IndependentPair<? extends Point2d, ? extends Point2d>>) - Method in enum org.openimaj.math.geometry.transforms.HomographyRefinement
-
Refine an initial guess at the homography that takes the first points in
data to the second using non-linear Levenberg Marquardt optimisation.
- reflectAroundLine(Point2d) - Method in class org.openimaj.math.geometry.line.Line2d
-
Reflects a point around a this line.
- ReflectionUtils - Class in org.openimaj.util.reflection
-
Utility methods for java reflection
- ReflectionUtils() - Constructor for class org.openimaj.util.reflection.ReflectionUtils
-
- reg_info() - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- reg_info(freenect_reg_info) - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- reg_pad_info() - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- reg_pad_info(freenect_reg_pad_info) - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
- regex - Variable in class org.openimaj.tools.cbir.VLADBuilder
-
- regex_char_neg(List<String>) - Static method in class org.openimaj.text.util.RegexUtil
-
- REGEX_KEY - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexStage
-
The key where regexs are stored
- regex_or_match(String...) - Static method in class org.openimaj.text.util.RegexUtil
-
- regex_or_match(PatternProvider...) - Static method in class org.openimaj.text.util.RegexUtil
-
- regex_or_match(List<String>) - Static method in class org.openimaj.text.util.RegexUtil
-
- RegexEngine - Interface in org.openimaj.tools.twitter.modes.filter
-
Regex engines can be told about a set of regex patterns to match strings
- RegexEngineMode - Enum in org.openimaj.tools.twitter.modes.filter
-
Command line options for regex engine selection
- RegExParser - Class in org.openimaj.hardware.serial
-
Takes incoming data from a serial parser and splits it into multiple
strings based on a regular expression.
- RegExParser(String) - Constructor for class org.openimaj.hardware.serial.RegExParser
-
Construct a new regex parser
- RegexPathFilter - Class in org.openimaj.hadoop.tools.sequencefile
-
A PathFilter
based on matching regular expressions.
- RegexPathFilter(String) - Constructor for class org.openimaj.hadoop.tools.sequencefile.RegexPathFilter
-
Construct with the given regex
- Regexps() - Constructor for class org.openimaj.web.readability.Readability.Regexps
-
- RegexUtil - Class in org.openimaj.text.util
-
A collection of utility functions for regex construction
- RegexUtil() - Constructor for class org.openimaj.text.util.RegexUtil
-
- region - Variable in class org.openimaj.image.processing.restoration.inpainting.TeleaInpainting
-
- RegionMode<PAIRTYPE> - Interface in org.openimaj.ml.clustering.dbscan.neighbourhood
-
RegionMode
instances can provide Neighbours of the n'th data
point given all the data points
- regionQuery(int) - Method in interface org.openimaj.ml.clustering.dbscan.neighbourhood.RegionMode
-
- register(T) - Method in class org.openimaj.stream.provider.irc.AbstractIRCStreamDataset
-
- register(T) - Method in class org.openimaj.util.stream.BlockingDroppingBufferedStream
-
- registerRDFAnalysisProvider(String, RDFAnalysisProvider) - Static method in class org.openimaj.twitter.GeneralJSONRDF
-
Registers an analysis provider to be used when some analysis key is met
- registerSerializers(Config) - Static method in class org.openimaj.rdf.storm.utils.JenaStormUtils
-
- registerStatus(Query, Status, String) - Method in class org.openimaj.stream.provider.twitter.AbstractTwitterSearchDataset
-
- registerStatus(Status, String) - Method in class org.openimaj.stream.provider.twitter.AbstractTwitterStatusesFilterDataset
-
- registerStatus(Status, String) - Method in class org.openimaj.stream.provider.twitter.AbstractTwitterStreamDataset
-
- registerStatus(Query, Status, String) - Method in class org.openimaj.stream.provider.twitter.ContextRoundRobinTwitterSearchAPIDataset
-
- registerStatus(Query, Status, String) - Method in class org.openimaj.stream.provider.twitter.RoundRobinTwitterSearchAPIDataset
-
- registerStatus(Query, Status, String) - Method in class org.openimaj.stream.provider.twitter.TwitterSearchDataset
-
- registerStatus(Status, String) - Method in class org.openimaj.stream.provider.twitter.TwitterStreamDataset
-
- registerStatus(Status, String) - Method in class org.openimaj.stream.provider.twitter.TwitterStreamFilterDataset
-
- registration_table() - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
A table of 640*480 pairs of x,y values.
C type : int32_t[2]*
- registration_table(Pointer<Pointer<Integer>>) - Method in class org.openimaj.hardware.kinect.freenect.freenect_registration
-
A table of 640*480 pairs of x,y values.
C type : int32_t[2]*
- RegretExperiment - Class in org.openimaj.ml.linear.experiments.sinabill
-
- RegretExperiment() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.RegretExperiment
-
- REGUL - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
- regul - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- regul - Variable in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- Regulariser - Interface in org.openimaj.ml.linear.learner.matlib.regul
-
- Regulariser - Interface in org.openimaj.ml.linear.learner.regul
-
- reinitParams() - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
must be called if any parameters are changed
- reinitParams() - Method in class org.openimaj.ml.linear.learner.IncrementalBilinearSparseOnlineLearner
-
- reinitParams() - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
must be called if any parameters are changed
- RelationList - Annotation Type in org.openimaj.rdf.serialize
-
An annotation that marks a member of a class that must be an instance of
Collection>
to be treated specially during serialisation.
- RelativePathFilenameKeyProvider() - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility.RelativePathFilenameKeyProvider
-
- relevant - Variable in class org.openimaj.experiment.evaluation.retrieval.RetrievalEvaluator
-
- relevantDocuments() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
Returns a list of all documents judged relevant, whether they were
retrieved or not.
- relevantMissedDocuments() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
Returns a list of documents that were judged relevant that
were not retrieved.
- relevantRetrieved(int) - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
The number of relevant documents retrieved at a particular
rank.
- relevantRetrievedDocuments() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
Returns a list of retrieved documents that were judged relevant,
in the order that they were retrieved.
- remaining() - Method in class org.openimaj.util.list.AbstractStreamBackedList
-
Get the number of records remaining in the stream
- remainingCapacity() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Returns the number of additional elements that this queue can ideally (in
the absence of memory or resource constraints) accept without blocking.
- remainingCapacity() - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Returns the number of additional elements that this queue can ideally (in
the absence of memory or resource constraints) accept without blocking,
or Integer.MAX_VALUE if there is no intrinsic limit.
- remap(FImage, FImage, FImage, ImageInterpolation.Interpolator) - Static method in class org.openimaj.image.processing.transform.RemapProcessor
-
Transform an image using the given parameters
- remap(FImage, FImage, FImage, ImageInterpolation) - Static method in class org.openimaj.image.processing.transform.RemapProcessor
-
Transform an image using the given parameters
- remap(FImage, FImage, FImage, FImage, ImageInterpolation) - Static method in class org.openimaj.image.processing.transform.RemapProcessor
-
Transform an image using the given parameters, and write te results into
out
- remap(FImage, FImage, FImage) - Static method in class org.openimaj.image.processing.transform.RemapProcessor
-
Transform an image using the given parameters.
- remap(FImage, FImage, FImage, FImage) - Static method in class org.openimaj.image.processing.transform.RemapProcessor
-
Transform an image using the given parameters, and write the results into
out
.
- RemapProcessor - Class in org.openimaj.image.processing.transform
-
ImageProcessor
and associated static utility methods for transforming
an image based on the pixel positions given by a distortion map:
destination(x,y) = source(mapx(x,y), mapy(x,y))
.
- RemapProcessor(FImage, FImage) - Constructor for class org.openimaj.image.processing.transform.RemapProcessor
-
- RemapProcessor(FImage, FImage, ImageInterpolation.Interpolator) - Constructor for class org.openimaj.image.processing.transform.RemapProcessor
-
Construct with the given distortion map and interpolator.
- remove() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
- remove() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
- remove() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
- remove(Object) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- remove(int) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- remove() - Method in class org.openimaj.image.analysis.algorithm.HoughLines
- remove() - Method in class org.openimaj.ml.clustering.spectral.FBEigenIterator
-
- remove() - Method in class org.openimaj.picslurper.PicSlurper
-
- remove() - Method in class org.openimaj.tools.clusterquantiser.KeypointListArrayIterator
-
- remove() - Method in class org.openimaj.tools.imagecollection.collection.video.MetadataVideoIterator
-
- remove() - Method in class org.openimaj.tools.imagecollection.collection.webpage.URLImageIterator
-
- remove() - Method in class org.openimaj.util.array.ArrayIterator
-
- remove(Object) - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Removes a single instance of the specified element from this queue, if it
is present.
- remove(Object) - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Removes a single instance of the specified element from this queue, if it
is present.
- remove(Object) - Method in class org.openimaj.util.set.DisjointSetForest
-
- remove() - Method in class org.openimaj.util.stream.AbstractStream
-
Throws an UnsupportedOperationException()
- remove() - Method in class org.openimaj.video.VideoIterator
-
- removeAll(Collection<?>) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- removeAll(Collection<?>) - Method in class org.openimaj.util.set.DisjointSetForest
-
- removeAnimatedVisualisationListener(AnimatedVisualisationListener) - Method in interface org.openimaj.vis.AnimatedVisualisationProvider
-
Remove a given listener from being informed of animation events.
- removeAnimatedVisualisationListener(AnimatedVisualisationListener) - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
Remove a given listener from being informed of animation events.
- removeAnimatedVisualisationListener(AnimatedVisualisationListener) - Method in class org.openimaj.vis.Visualisation3D
-
- removeAnimatedVisualisationListener(AnimatedVisualisationListener) - Method in class org.openimaj.vis.world.WorldMap
-
Remove a given listener from being informed of animation events.
- removeAudioEventListener(AudioEventListener) - Method in class org.openimaj.audio.AudioPlayer
-
Remove the given event from the listeners on this player.
- removeAudioGrabberListener(AudioGrabberListener) - Method in class org.openimaj.audio.AudioGrabber
-
Remove an audio grabber listener from this audio grabber.
- removeChild(TreeNode<T>) - Method in interface org.openimaj.util.tree.TreeNode
-
Remove a child node (if it exists)
- removeChild(TreeNode<T>) - Method in class org.openimaj.util.tree.TreeNodeImpl
-
- removeChildren(Node) - Method in class org.openimaj.web.readability.Readability
-
- removeComments(Node) - Method in class org.openimaj.web.readability.Readability
-
- removeComponentStackMergeListener(ComponentStackMergeListener) - Method in class org.openimaj.image.analysis.watershed.WatershedProcessorAlgorithm
-
- removeFile(String) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
Delete a file
- removeHighlightCountry(String) - Method in class org.openimaj.vis.world.WorldMap
-
Remove a highlighted country
- removeImageComponentListener(DisplayUtilities.ImageComponent.ImageComponentListener) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Remove the given listener from this image component.
- removeIntermediate(boolean) - Method in class org.openimaj.hadoop.mapreduce.MultiStagedJob
-
- removeListener(AudioSpectrogram.SpectrogramCompleteListener) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Remove the given listener
- removeMixEventListener(AudioMixer.MixEventListener) - Method in class org.openimaj.audio.AudioMixer
-
- removeOverlay(VisualisationImpl<?>) - Method in class org.openimaj.vis.VisualisationImpl
-
Remove the given overlay from this visualisation
- removePoint(O) - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
Remove a specific object
- removeSerialDataListener(SerialDataListener) - Method in class org.openimaj.hardware.serial.SerialDevice
-
- removeSerialDataListener(SerialDataListener) - Method in class org.openimaj.hardware.serial.SerialReader
-
Remove the given listener from this reader.
- removeShotDetectedListener(ShotDetectedListener<I>) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Remove the given shot detected listener from this object.
- removeStream(AudioStream) - Method in class org.openimaj.audio.AudioMixer
-
Remove the given audio stream from the mixer.
- removeSynthesizerListener(SynthesizerListener) - Method in class org.openimaj.audio.generation.Synthesizer
-
remove the synth listener from this synth.
- removeVideoDisplayStateListener(VideoDisplayStateListener) - Method in class org.openimaj.video.VideoDisplay
-
Remove a listener from the state of this player
- removeVideoPositionListener(VideoPositionListener) - Method in class org.openimaj.video.VideoDisplay
-
Remove visible panty lines...
- render(MBFImage, int, CLMDetectedFace) - Static method in class org.openimaj.image.processing.face.util.CLMDetectedFaceRenderer
-
Static helper function for quick and dirty rendering
- render(List<IndependentPair<String, Point2d>>, int) - Method in class org.openimaj.tools.similaritymatrix.modes.MDS
-
- render() - Method in class org.openimaj.web.layout.LayoutExtractor
-
Render the current page to an image
- render(int, int) - Method in class org.openimaj.web.layout.LayoutExtractor
-
Render the current page to an image of the given size or smaller
- renderAxis(I) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Render the axis to the given image
- renderAxis(GLAutoDrawable) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- renderAxis() - Method in class org.openimaj.vis.general.AxisRenderer
-
- renderContentLayout(Float[], Float[], Float[]) - Method in class org.openimaj.web.layout.LayoutExtractor
-
Render the layout of the content.
- renderContentLayout(MBFImage, Float[], Float[], Float[]) - Method in class org.openimaj.web.layout.LayoutExtractor
-
Render the layout of the content.
- renderer - Variable in class org.openimaj.image.Plotter
-
- renderFilters(int) - Method in class org.openimaj.image.processing.convolution.filterbank.FilterBank
-
Create an image to visualise the filters in the bank.
- RenderHints - Class in org.openimaj.image.renderer
-
Hints for
ImageRenderer
implementations to (optionally)
use when drawing.
- RenderHints() - Constructor for class org.openimaj.image.renderer.RenderHints
-
Default constructor.
- RenderHints(RenderHints.DrawingAlgorithm) - Constructor for class org.openimaj.image.renderer.RenderHints
-
Construct with the given drawing algorithm
- RenderHints.DrawingAlgorithm - Enum in org.openimaj.image.renderer
-
Different approaches to drawing
- renderLayoutInfo(Float[]) - Method in class org.openimaj.web.layout.LayoutExtractor
-
Render ALL the content boxes to a new image in the given color
- renderLayoutInfo(MBFImage, Float[]) - Method in class org.openimaj.web.layout.LayoutExtractor
-
Render ALL the content boxes to the given image in the given color
- renderRestarting() - Method in class org.openimaj.vis.general.BarVisualisation
-
Called just before a render of the visualisation is about to start.
- renderRestarting() - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
Called just before a render of the visualisation is about to start.
- renderRestarting() - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- renderRestarting() - Method in class org.openimaj.vis.general.ImageThumbnailPlotter
-
Called just before a render of the visualisation is about to start.
- renderRestarting() - Method in interface org.openimaj.vis.general.ItemPlotter
-
Called just before a render of the visualisation is about to start.
- renderRestarting() - Method in interface org.openimaj.vis.general.ItemPlotter3D
-
Called just before a render of the visualisation is about to start.
- renderRestarting() - Method in class org.openimaj.vis.general.LabelledPointVisualisation
-
Called just before a render of the visualisation is about to start.
- renderRestarting() - Method in class org.openimaj.vis.general.Rectangle3DPlotter
-
Called just before a render of the visualisation is about to start.
- renderRestarting() - Method in class org.openimaj.vis.timeline.Timeline.TimelineObjectPlotter
-
Called just before a render of the visualisation is about to start.
- renderSegments(MBFImage, List<? extends PixelSet>) - Static method in class org.openimaj.image.segmentation.SegmentationUtilities
-
Render the components to the image with randomly assigned colours.
- renderSegments(int, int, List<? extends PixelSet>) - Static method in class org.openimaj.image.segmentation.SegmentationUtilities
-
Render the components to an image with randomly assigned colours.
- renderText(ImageRenderer<T, ?>, String, int, int, Q) - Method in class org.openimaj.image.typography.FontRenderer
-
Render the given text string to the image starting at (x, y) with the
given style.
- renderText(ImageRenderer<T, ?>, AttributedString, int, int) - Static method in class org.openimaj.image.typography.FontRenderer
-
- renderText(ImageRenderer<T, ?>, String, int, int, GeneralFontStyle<T>) - Method in class org.openimaj.image.typography.general.GeneralFontRenderer
-
Render the given text string to the image starting at (x, y) with the
given style.
- renderText(ImageRenderer<T, ?>, String, int, int, MathMLFontStyle<T>) - Method in class org.openimaj.image.typography.mathml.MathMLFontRenderer
-
- renderToImage() - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get a render of the page as an image
- renderToImage(int, int) - Method in class org.openimaj.web.ProgrammaticBrowser
-
Get a render of the page as an image
- renderVis(GLAutoDrawable) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
Renders the visualisation
- renderVis(GLAutoDrawable) - Method in class org.openimaj.vis.general.HeightMap3D
-
Render the visualisation into the drawable
- renderVis(GLAutoDrawable) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- renderVis(GLAutoDrawable) - Method in class org.openimaj.vis.Visualisation3D
-
Render the visualisation into the drawable
- renorm() - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- repeatability(double) - Method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
The percentage of valid points found to be repeatable.
- repeatability(Image<?, ?>, Image<?, ?>, List<Ellipse>, List<Ellipse>, Matrix, double) - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Generates and initialises a new Repeatability instance.
- repeatability(MBFImage, MBFImage, List<T>, List<T>, Matrix, int) - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
- RepeatabilityExperiment - Class in org.openimaj.image.feature.local.interest.experiment
-
- replace - Variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.TwitterTokenOutputMode
-
- replace(Float, Float) - Method in class org.openimaj.image.FImage
-
- replace(float, float) - Method in class org.openimaj.image.FImage
-
Replace pixels of a certain colour with another colour.
- replace(Q, Q) - Method in class org.openimaj.image.Image
-
Replace pixels of a certain colour with another colour.
- replace(T[], T[]) - Method in class org.openimaj.image.MultiBandImage
-
- replace(Float[], Float[]) - Method in class org.openimaj.image.SVGImage
-
- replaceBrsRe - Static variable in class org.openimaj.web.readability.Readability.Regexps
-
- replaceCodes(String, String, String, String) - Static method in class org.openimaj.rdf.owl2java.Generator
-
Replaces GAV codes in the given string.
- replaceFontsRe - Static variable in class org.openimaj.web.readability.Readability.Regexps
-
- replaceLostFeatures(FImage) - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
KLTReplaceLostFeatures
Main routine, visible to the outside.
- reply_of - Variable in class orgrdfs.sioc.ns.ItemImpl
-
Links to an Item or Post which this Item or Post is a reply to.
- reply_to - Variable in class org.openimaj.twitter.USMFStatus
-
Reply to
- repmat(Matrix, int, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Given a matrix, repeat the matrix over i rows and j columns
- reposition() - Method in class org.openimaj.image.pixel.PixelSet
-
Repositions the connected component so that its bounding box has its
origin at (0,0).
- requiredNumberOfFrames() - Method in class org.openimaj.video.processing.motion.MotionEstimatorAlgorithm
-
The required number of frames required for the given motion estimation
algorithm to work.
- resample(FImage, int, int) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Returns a new image that is a resampled version of the given image.
- resample(FImage, int, int, boolean) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Resamples the given image returning it as a reference.
- resample(FImage, int, int, boolean, ResizeFilterFunction) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Resamples the given image returning it as a reference.
- reserved() - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- reserved(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
- reset() - Method in class org.openimaj.audio.AudioAnnotator
-
Reset the object to its initial condition, as if
it hasn't seen any training data.
- reset() - Method in class org.openimaj.audio.AudioGrabber
-
Does nothing by default for an audio grabber.
- reset() - Method in class org.openimaj.audio.AudioLooper
-
Reset the audio stream.
- reset() - Method in class org.openimaj.audio.AudioMixer
-
Reset the audio stream.
- reset() - Method in class org.openimaj.audio.AudioPlayer
-
Reset the timekeeper.
- reset() - Method in class org.openimaj.audio.AudioStream
-
Reset the audio stream.
- reset() - Method in class org.openimaj.audio.generation.Synthesizer
-
Reset the audio stream.
- reset() - Method in class org.openimaj.audio.processor.AudioProcessor
-
Reset the audio stream.
- reset() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Reset the timekeeper.
- reset() - Method in class org.openimaj.audio.util.MemoryAudioSource
-
Reset the audio stream.
- reset() - Static method in class org.openimaj.citation.ReferenceListener
-
Reset the references held by the listener, returning the current set of
references.
- reset() - Method in class org.openimaj.content.animation.animator.AbstractValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.ByteArrayValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.DoubleArrayValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.FloatArrayValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.ForwardBackwardLoopingValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.IntegerArrayValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.LongArrayValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.LoopingValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.RandomLinearByteValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.RandomLinearDoubleValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.RandomLinearFloatValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.RandomLinearIntegerValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.RandomLinearLongValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.RandomLinearShortValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.ShortArrayValueAnimator
-
- reset() - Method in class org.openimaj.content.animation.animator.TimeBasedValueAnimator
-
Reset the animator back to its initial condition.
- reset() - Method in interface org.openimaj.content.animation.animator.ValueAnimator
-
Reset the animator back to its initial condition.
- reset() - Method in interface org.openimaj.data.dataset.cache.GroupedListCache
-
Reset the cache
- reset() - Method in class org.openimaj.data.dataset.cache.InMemoryGroupedListCache
-
- reset() - Static method in class org.openimaj.experiment.agent.TimeTracker
-
Reset all the previously accumulated times, returning them.
- reset() - Method in class org.openimaj.hardware.kinect.KinectStream
-
- reset() - Method in interface org.openimaj.image.analyser.PixelAnalyser
-
- reset() - Method in class org.openimaj.image.feature.global.Colorfulness
-
- reset(MultidimensionalHistogram) - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
-
- reset() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
-
- reset() - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- reset() - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Force a reset on the next frame to be tracked.
- reset() - Method in class org.openimaj.math.matrix.MeanVector
-
- reset() - Method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- reset() - Method in class org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator
-
- reset() - Method in class org.openimaj.ml.annotation.FeatureCachingIncrementalBatchAnnotator
-
- reset() - Method in class org.openimaj.ml.annotation.InstanceCachingIncrementalBatchAnnotator
-
- reset() - Method in interface org.openimaj.ml.training.IncrementalTrainer
-
Reset the object to its initial condition, as if
it hasn't seen any training data.
- reset() - Method in interface org.openimaj.time.TimeKeeper
-
Reset the timekeeper.
- reset() - Method in class org.openimaj.video.AnimatedVideo
-
- reset() - Method in class org.openimaj.video.ArrayBackedVideo
-
- reset() - Method in class org.openimaj.video.capture.VideoCapture
-
- reset() - Method in class org.openimaj.video.FileBackedVideo
-
- reset() - Method in class org.openimaj.video.gstreamer.GStreamerVideo
-
- reset() - Method in class org.openimaj.video.processing.pixels.FMeanVarianceField
-
Reset the accumulated field data.
- reset() - Method in class org.openimaj.video.processing.pixels.MBFMeanVarianceField
-
Reset the accumulated field data.
- reset() - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
No implementation.
- reset() - Method in class org.openimaj.video.processor.VideoProcessor
-
No implementation.
- reset() - Method in class org.openimaj.video.translator.VideoTranslator
-
- reset() - Method in class org.openimaj.video.Video
-
Reset the video - putting the frame counter back to the start.
- reset() - Method in class org.openimaj.video.VideoCache
-
Clears the cache.
- reset() - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Reset the timekeeper.
- reset() - Method in class org.openimaj.video.xuggle.XuggleAudio
-
Reset the audio stream.
- reset() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Reset the video - putting the frame counter back to the start.
- reset() - Method in class org.openimaj.video.xuggle.XuggleVideoWriter
-
- reset() - Method in class org.openimaj.vis.animators.ColourSpaceAnimator
-
Reset the animator back to its initial condition.
- reset() - Method in class org.openimaj.web.video.VGetVideo
-
- resetDroppedFrameCount() - Method in class org.openimaj.video.VideoDisplay
-
Reset the dropped frame count to zero.
- resetThreadsBeginN() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Resets the minimal size of 2D and 3D data for which threads are used.
- resetThreadsBeginN_FFT() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Resets the minimal size of 1D data for which two and four threads are
used.
- resetToInitial() - Method in class org.openimaj.content.animation.animator.AbstractValueAnimator
-
- resetToInitial() - Method in class org.openimaj.content.animation.animator.LinearByteValueAnimator
-
- resetToInitial() - Method in class org.openimaj.content.animation.animator.LinearDoubleValueAnimator
-
- resetToInitial() - Method in class org.openimaj.content.animation.animator.LinearFloatValueAnimator
-
- resetToInitial() - Method in class org.openimaj.content.animation.animator.LinearIntegerValueAnimator
-
- resetToInitial() - Method in class org.openimaj.content.animation.animator.LinearLongValueAnimator
-
- resetToInitial() - Method in class org.openimaj.content.animation.animator.LinearShortValueAnimator
-
- resetVecLength() - Method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
Reset the internal feature vector length to the length of the first
feature.
- reshape(Matrix, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Get a reshaped copy of the input matrix
- reshape(Matrix, int, boolean) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Get a reshaped copy of the input matrix
- reshape(double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array
- reshape(float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array
- reshape(int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array
- reshape(long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array
- reshape(byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array
- reshape(short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array
- reshape(double[], double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(float[], float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(float[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(int[], int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(int[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(long[], long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(long[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(byte[], byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(byte[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(short[], short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(short[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshape(GLAutoDrawable, int, int, int, int) - Method in class org.openimaj.vis.Visualisation3D
- reshapeDouble(double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array of doubles
- reshapeDouble(float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array of doubles
- reshapeDouble(int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array of doubles
- reshapeDouble(long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array of doubles
- reshapeDouble(byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array of doubles
- reshapeDouble(short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 2D array into a 1D array of doubles
- reshapeFloat(double[], float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- reshapeFloat(double[], int, int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reshape a 1D array into a 2D array
- ResidualCalculator<I,D,M extends Model<I,D>> - Interface in org.openimaj.math.model.fit.residuals
-
Interface describing the computation of an error (the residuals) of a set of
(independent and dependent) data points with respect to a model.
- residualEstimator - Variable in class org.openimaj.math.model.fit.LMedS
-
- resize(int, int) - Method in class org.openimaj.processing.OpenIMAJ
-
- ResizeFilterFunction - Interface in org.openimaj.image.processing.resize
-
The interpolation filter function used for the resampling function.
- resizeMax(FImage, int, ResizeFilterFunction) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Resize an image such that its biggest size is at most as big as the given
size.
- resizeMax(FImage, int) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Resize an image such that its biggest size is at most as big as the given
size.
- resizeMaxArea(FImage, int, ResizeFilterFunction) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Resize an image such that its area size is at most as big as the given
area.
- resizeMaxArea(FImage, int) - Static method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Resize an image such that its area size is at most as big as the given
area.
- ResizeProcessor - Class in org.openimaj.image.processing.resize
-
Image processor and utility methods that can resize images.
- ResizeProcessor(ResizeProcessor.Mode) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Constructor that takes the resize mode.
- ResizeProcessor(float, ResizeFilterFunction) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Constructor a resize processor that will rescale the image by a given
scale factor using the given filter function.
- ResizeProcessor(float, float, ResizeFilterFunction) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Construct a resize processor that will rescale the image to the given
width and height with the given filter function.
- ResizeProcessor(float) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Constructor a resize processor that will rescale the image by a given
scale factor using the default filter function.
- ResizeProcessor(float, float) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Construct a resize processor that will rescale the image to the given
width and height with the default filter function.
- ResizeProcessor(int) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Construct a resize processor that will rescale images that are taller or
wider than the given size such that their biggest side is equal to the
given size.
- ResizeProcessor(int, boolean) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Construct a resize processor that will rescale images that are either
bigger than a maximum area or are taller or wider than the given size
such that their biggest side is equal to the given size.
- ResizeProcessor(int, int, boolean) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Construct a resize processor that will rescale the image to the given
width and height (optionally maintaining aspect ratio) with the default
filter function.
- ResizeProcessor(int, int, boolean, ResizeFilterFunction) - Constructor for class org.openimaj.image.processing.resize.ResizeProcessor
-
Construct a resize processor that will rescale the image to the given
width and height (optionally maintaining aspect ratio) with the given
filter function.
- ResizeProcessor.Mode - Enum in org.openimaj.image.processing.resize
-
The resize mode to use.
- resizeTo(int) - Method in class ch.akuhn.matrix.SparseVector
-
Resize the vector
- resolution() - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
< Resolution this freenect_frame_mode describes, should you want to find it again with freenect_find_*_frame_mode().
C type : freenect_resolution
- resolution(IntValuedEnum<libfreenectLibrary.freenect_resolution>) - Method in class org.openimaj.hardware.kinect.freenect.freenect_frame_mode
-
< Resolution this freenect_frame_mode describes, should you want to find it again with freenect_find_*_frame_mode().
C type : freenect_resolution
- resolveURL(URL, StatusConsumption) - Method in class org.openimaj.picslurper.StatusConsumer
-
Given a URL, use
StatusConsumer.urlToImage(URL)
to turn the url into a list of
images and write the images into the output location using the names
"image_N.png"
- Response(MMSys2013.QuestionResponse, MMSys2013.QuestionResponse, int) - Constructor for class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Response
-
Constructor
- response - Variable in class org.openimaj.image.feature.global.Gist
-
- responseAt(int, int, FImage) - Method in class org.openimaj.image.processing.convolution.FConvolution
-
Return the kernel response at the x,y in the given image.
- responses - Variable in class org.openimaj.image.processing.convolution.filterbank.FilterBank
-
- RestrictedAnnotator<OBJECT,ANNOTATION> - Interface in org.openimaj.ml.annotation
-
The
RestrictedAnnotator
interface describes annotators
that can predict annotations based on an external context
that restricts what annotations are allowed.
- result - Variable in class org.openimaj.image.processing.face.recognition.benchmarking.CrossValidationBenchmark
-
- result - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalBytePathAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalDoublePathAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalFloatPathAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalIntPathAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalLongPathAssigner
-
- result - Variable in class org.openimaj.ml.clustering.assignment.soft.HierarchicalShortPathAssigner
-
- Result() - Constructor for class org.openimaj.ml.clustering.kmeans.ByteKMeans.Result
-
- Result() - Constructor for class org.openimaj.ml.clustering.kmeans.DoubleKMeans.Result
-
- Result() - Constructor for class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans.Result
-
- Result() - Constructor for class org.openimaj.ml.clustering.kmeans.FloatKMeans.Result
-
- result - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult.Node
-
- result - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult.Node
-
- result - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult.Node
-
- result - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult.Node
-
- result - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult.Node
-
- result - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult.Node
-
- Result() - Constructor for class org.openimaj.ml.clustering.kmeans.IntKMeans.Result
-
- Result() - Constructor for class org.openimaj.ml.clustering.kmeans.LongKMeans.Result
-
- Result() - Constructor for class org.openimaj.ml.clustering.kmeans.ShortKMeans.Result
-
- result - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeans.IterationResult
-
The current results
- ResultAggregator<RESULT,AGGREGATED extends AnalysisResult> - Interface in org.openimaj.experiment.evaluation
-
- Results - Class in org.openimaj.image.processing.face.detection.benchmarking
-
- results(USMFStatus, TwitterPreprocessingMode<Q>) - Static method in class org.openimaj.tools.twitter.modes.preprocessing.TwitterPreprocessingMode
-
Given a twitter status, attempts to extract the analysis for this mode.
- results() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- resultsString() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- retainAll(Collection<?>) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- retainAll(Collection<?>) - Method in class org.openimaj.util.set.DisjointSetForest
-
- RetrievalAnalyser<RESULT extends AnalysisResult,QUERY,DOCUMENT extends Identifiable> - Interface in org.openimaj.experiment.evaluation.retrieval
-
- RetrievalEngine<DOCUMENT extends Identifiable,QUERY> - Interface in org.openimaj.experiment.evaluation.retrieval
-
Interface describing a retrieval engine
- RetrievalEvaluator - Class in org.lemurproject.ireval
-
A retrieval evaluator object computes a variety of standard
information retrieval metrics commonly used in TREC, including
binary preference (BPREF), geometric mean average precision (GMAP),
mean average precision (MAP), and standard precision and recall.
- RetrievalEvaluator(String, List<RetrievalEvaluator.Document>, Collection<RetrievalEvaluator.Judgment>) - Constructor for class org.lemurproject.ireval.RetrievalEvaluator
-
Creates a new instance of RetrievalEvaluator
- RetrievalEvaluator<RESULT extends AnalysisResult,DOCUMENT extends Identifiable,QUERY> - Class in org.openimaj.experiment.evaluation.retrieval
-
An implementation of an
Evaluator
for the evaluation of retrieval
experiments using the Cranfield methodology.
- RetrievalEvaluator(RetrievalEngine<DOCUMENT, QUERY>, Collection<QUERY>, Map<QUERY, Set<DOCUMENT>>, RetrievalAnalyser<RESULT, QUERY, DOCUMENT>) - Constructor for class org.openimaj.experiment.evaluation.retrieval.RetrievalEvaluator
-
- RetrievalEvaluator(RetrievalEngine<DOCUMENT, QUERY>, Map<QUERY, Set<DOCUMENT>>, RetrievalAnalyser<RESULT, QUERY, DOCUMENT>) - Constructor for class org.openimaj.experiment.evaluation.retrieval.RetrievalEvaluator
-
- RetrievalEvaluator(Map<QUERY, List<DOCUMENT>>, Map<QUERY, Set<DOCUMENT>>, RetrievalAnalyser<RESULT, QUERY, DOCUMENT>) - Constructor for class org.openimaj.experiment.evaluation.retrieval.RetrievalEvaluator
-
- RetrievalEvaluator.Document - Class in org.lemurproject.ireval
-
This class represents a document returned by a retrieval
system.
- RetrievalEvaluator.Judgment - Class in org.lemurproject.ireval
-
This class represents a relevance judgment of a particular document
for a specific query.
- retrievedDocuments() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
- retweet_count - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
This is a string because sometimes retweet_count can look like: "100+"
- retweeted - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- retweeted_status - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
New style retweets
- retweetPatternString() - Method in class org.openimaj.text.nlp.patterns.TwitterStuffPatternProvider
-
- REV_MIN(int) - Method in class org.openimaj.math.geometry.shape.util.polygon.EdgeTable
-
- ReversableToken - Interface in org.openimaj.text.nlp.tokenisation
-
- ReversableValueAnimator<T> - Interface in org.openimaj.content.animation.animator
-
- reverse(double[]) - Method in class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
- reverse(List<? extends ReversableToken>) - Method in class org.openimaj.text.nlp.textpipe.annotations.TokenAnnotation
-
- reverse(List<? extends ReversableToken>) - Method in interface org.openimaj.text.nlp.tokenisation.ReversableToken
-
- reverse(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reverse the elements in the input and return the input.
- reverse(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reverse the elements in the input and return the input.
- reverse(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reverse the elements in the input and return the input.
- reverse(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reverse the elements in the input and return the input.
- reverse(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reverse the elements in the input and return the input.
- reverse(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Reverse the elements in the input and return the input.
- reverse() - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- reverse() - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- reverse() - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- reverse() - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- reverse() - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- reverse() - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- reverse() - Method in class org.openimaj.util.array.SparseByteArray
-
Reverse the elements, returning this.
- reverse() - Method in class org.openimaj.util.array.SparseDoubleArray
-
Reverse the elements, returning this.
- reverse() - Method in class org.openimaj.util.array.SparseFloatArray
-
Reverse the elements, returning this.
- reverse() - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- reverse() - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- reverse() - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- reverse() - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- reverse() - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- reverse() - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- reverse() - Method in class org.openimaj.util.array.SparseIntArray
-
Reverse the elements, returning this.
- reverse() - Method in class org.openimaj.util.array.SparseLongArray
-
Reverse the elements, returning this.
- reverse() - Method in class org.openimaj.util.array.SparseShortArray
-
Reverse the elements, returning this.
- reverseAnimator() - Method in class org.openimaj.content.animation.animator.ForwardBackwardLoopingValueAnimator
-
- reverseAnimator() - Method in class org.openimaj.content.animation.animator.LinearByteValueAnimator
-
- reverseAnimator() - Method in class org.openimaj.content.animation.animator.LinearDoubleValueAnimator
-
- reverseAnimator() - Method in class org.openimaj.content.animation.animator.LinearFloatValueAnimator
-
- reverseAnimator() - Method in class org.openimaj.content.animation.animator.LinearIntegerValueAnimator
-
- reverseAnimator() - Method in class org.openimaj.content.animation.animator.LinearLongValueAnimator
-
- reverseAnimator() - Method in class org.openimaj.content.animation.animator.LinearShortValueAnimator
-
- reverseAnimator() - Method in interface org.openimaj.content.animation.animator.ReversableValueAnimator
-
Reverse the animator and return it, or make a new animator
with the same state as this animator, but reversed direction.
- reverseColumns(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Create a copy of a matrix with the columns in reverse order.
- reverseColumnsInplace(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Reverse the column order of the input matrix inplace.
- ReversedLtpDtFeatureComparator - Class in org.openimaj.image.processing.face.feature.comparison
-
A comparator for Local Trinary Pattern Features using a
Euclidean distance transform.
- ReversedLtpDtFeatureComparator() - Constructor for class org.openimaj.image.processing.face.feature.comparison.ReversedLtpDtFeatureComparator
-
- ReverseGeoCode - Class in org.openimaj.text.nlp.geocode
-
Use a Solr index built against the geonames allcountries.txt dump.
- ReverseGeoCode() - Constructor for class org.openimaj.text.nlp.geocode.ReverseGeoCode
-
- ReverseGeoCode(String...) - Constructor for class org.openimaj.text.nlp.geocode.ReverseGeoCode
-
- reverseRows(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Create a copy of a matrix with the rows in reverse order.
- reverseRowsInplace(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Reverse the row order of the input matrix inplace.
- RGB(int, int, int) - Static method in class org.openimaj.image.colour.RGBColour
-
Create a colour from an RGB triplet with integer values in the range
0..255.
- RGB(float, float, float) - Static method in class org.openimaj.image.colour.RGBColour
-
Create a colour from an RGB triplet with float values in the range 0..1.
- RGB_TO_CIELab(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert RGB to CIE Lab.
- RGB_TO_CIELabNormalised(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert CIEXYZ to CIELab and normalise the resultant L, a & b values to
0..1.
- RGB_TO_CIELUV(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert RGB to CIE LUV.
- RGB_TO_CIEXYZ(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
CIE_XYZ color space transform from RGB.
- RGB_TO_H2S(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert RGB to H2S
- RGB_TO_H2S_2(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert RGB to H2S VARIANT 2
- RGB_TO_H2SV(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert RGB to H2SV
- RGB_TO_H2SV_2(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert RGB to H2SV2 VARIANT 2
- RGB_TO_HS(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Transform 3 band RGB image to HS
- RGB_TO_HS_2(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert to HS using the formulation from
http://ilab.usc.edu/wiki/index.php/HSV_And_H2SV_Color_Space
- RGB_TO_HSI(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Transform 3 band RGB image to HSV
- RGB_TO_HSL(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Transform 3 band RGB image to HSL
- RGB_TO_HSL(float[], float[]) - Static method in class org.openimaj.image.colour.Transforms
-
Converts an RGB color value to HSL.
- RGB_TO_HSV(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert to HSV using the formulation from:
http://ilab.usc.edu/wiki/index.php/HSV_And_H2SV_Color_Space The
assumption is that RGB are in the range 0..1.
- RGB_TO_HSY(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Transform 3 band RGB image to HSY
- RGB_TO_RGB_NORMALISED(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Intensity normalisation
- RGB_TO_YUV(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert from RGB to YUV.
- RGB_TO_YUV(MBFImage, boolean, boolean) - Static method in class org.openimaj.image.colour.Transforms
-
Convert from RGB to YUV.
- RGB_TO_YUVNormalised(MBFImage) - Static method in class org.openimaj.image.colour.Transforms
-
Convert from RGB to normalised YUV.
- RGBColour - Class in org.openimaj.image.colour
-
Convenience constants and methods for RGB colours for use in MBFImages
- RGBRMSContrast - Class in org.openimaj.image.feature.global
-
Implementation of the RGB RMS contrast feature.
- RGBRMSContrast() - Constructor for class org.openimaj.image.feature.global.RGBRMSContrast
-
- RidgeIPD - Class in org.openimaj.image.feature.local.interest
-
- RidgeIPD(float, float) - Constructor for class org.openimaj.image.feature.local.interest.RidgeIPD
-
- RIGHT - Static variable in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
RIGHT
- Right(PunctuationPatternProvider) - Constructor for class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider.Right
-
- right - Variable in class org.openimaj.util.tree.ByteKDTree.KDTreeNode
-
Node to the right
- right - Variable in class org.openimaj.util.tree.DoubleKDTree.KDTreeNode
-
Node to the right
- right - Variable in class org.openimaj.util.tree.FloatKDTree.KDTreeNode
-
Node to the right
- right - Variable in class org.openimaj.util.tree.IntKDTree.KDTreeNode
-
Node to the right
- right - Variable in class org.openimaj.util.tree.LongKDTree.KDTreeNode
-
Node to the right
- right - Variable in class org.openimaj.util.tree.ShortKDTree.KDTreeNode
-
Node to the right
- RIGHT - Static variable in class org.openimaj.workinprogress.SignProgrammer
-
- rigidMatrix(double[][], double[][]) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Compute the least-squares rigid alignment between two sets of matching
points in N-dimensional space.
- rigidMatrix(List<? extends IndependentPair<? extends Coordinate, ? extends Coordinate>>) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Compute the least-squares rigid alignment between two sets of matching
points in N-dimensional space.
- RigidTransformModel3d - Class in org.openimaj.math.geometry.transforms
-
Concrete implementation of a model of a 3D rigid transform with only rotation
and translation allowed.
- RigidTransformModel3d() - Constructor for class org.openimaj.math.geometry.transforms.RigidTransformModel3d
-
- RMSContrast - Class in org.openimaj.image.feature.global
-
Implementation of the RMS contrast feature.
- RMSContrast() - Constructor for class org.openimaj.image.feature.global.RMSContrast
-
- rnd - Variable in class org.openimaj.ml.annotation.basic.UniformRandomAnnotator
-
- rng - Variable in class org.openimaj.data.ArrayBackedDataSource
-
- rng - Variable in class org.openimaj.data.ByteArrayBackedDataSource
-
- rng - Variable in class org.openimaj.data.DoubleArrayBackedDataSource
-
- rng - Variable in class org.openimaj.data.FloatArrayBackedDataSource
-
- rng - Variable in class org.openimaj.data.IntArrayBackedDataSource
-
- rng - Variable in class org.openimaj.data.LongArrayBackedDataSource
-
- rng - Variable in class org.openimaj.data.ShortArrayBackedDataSource
-
- rng - Variable in class org.openimaj.lsh.functions.RandomisedHashFunctionFactory
-
- rng - Variable in class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
- rng - Variable in class org.openimaj.ml.annotation.basic.util.RandomChooser
-
- rng - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
- RobustAffineTransformEstimator - Class in org.openimaj.math.geometry.transforms.estimation
-
Helper class to simplify robust estimation of 2D affine transforms without
having to deal with the nuts and bolts of the underlying robust model
fitters, etc.
- RobustAffineTransformEstimator(double) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator
-
Construct using the
LMedS
algorithm with the given expected
outlier percentage
- RobustAffineTransformEstimator(double, int, RANSAC.StoppingCondition) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator
-
Construct using the
RANSAC
algorithm with the given options.
- RobustAffineTransformEstimator(double, Predicate<AffineTransformModel>) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator
-
Construct using the
LMedS
algorithm with the given expected
outlier percentage
- RobustAffineTransformEstimator(double, int, RANSAC.StoppingCondition, Predicate<AffineTransformModel>) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustAffineTransformEstimator
-
Construct using the
RANSAC
algorithm with the given options.
- RobustFundamentalEstimator - Class in org.openimaj.math.geometry.transforms.estimation
-
Helper class to simplify robust estimation of the Fundamental matrix without
having to deal with the nuts and bolts of the underlying robust model
fitters, etc.
- RobustFundamentalEstimator(double, FundamentalRefinement) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustFundamentalEstimator
-
Construct using the
LMedS
algorithm with the given expected
outlier percentage
- RobustFundamentalEstimator(double, int, RANSAC.StoppingCondition, FundamentalRefinement) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustFundamentalEstimator
-
Construct using the
RANSAC
algorithm with the given options.
- RobustHomographyEstimator - Class in org.openimaj.math.geometry.transforms.estimation
-
Helper class to simplify robust estimation of homographies without having to
deal with the nuts and bolts of the underlying robust model fitters, etc.
- RobustHomographyEstimator(double, HomographyRefinement) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustHomographyEstimator
-
Construct using the
LMedS
algorithm with the given expected
outlier percentage
- RobustHomographyEstimator(double, int, RANSAC.StoppingCondition, HomographyRefinement) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustHomographyEstimator
-
Construct using the
RANSAC
algorithm with the given options.
- RobustHomographyEstimator(double, HomographyRefinement, Predicate<HomographyModel>) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustHomographyEstimator
-
Construct using the
LMedS
algorithm with the given expected
outlier percentage
- RobustHomographyEstimator(double, int, RANSAC.StoppingCondition, HomographyRefinement, Predicate<HomographyModel>) - Constructor for class org.openimaj.math.geometry.transforms.estimation.RobustHomographyEstimator
-
Construct using the
RANSAC
algorithm with the given options.
- RobustModelFitting<I,D,M extends Model<I,D>> - Interface in org.openimaj.math.model.fit
-
RobustModelFitting is an interface for fitting models that are able to
distinguish between inliers and outliers in the training data.
- ROCAnalyser<OBJECT,CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.roc
-
A
ClassificationAnalyser
capable of producing
a Receiver Operating Characteristic curve and associated
statistics.
- ROCAnalyser() - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.roc.ROCAnalyser
-
- ROCResult<CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.roc
-
An
AnalysisResult
representing a set of ROC curves and associated
statistics.
- rodrigues(Matrix) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Convert a 3D rotation matrix to a Rodrigues rotation vector, which is
oriented along the rotation axis, and has magnitude equal to the rotation
angle.
- rodrigues(double[]) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Convert a Rodrigues rotation vector to a rotation matrix.
- roi - Variable in class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
- roi - Variable in class org.openimaj.video.VideoSubFrame
-
The region of interest defining the sub-window.
- ROIProportion - Class in org.openimaj.image.feature.global
-
Implementation of the region of interest based image simplicity measure
described by Yeh et al.
- ROIProportion() - Constructor for class org.openimaj.image.feature.global.ROIProportion
-
Construct with the default values
- ROIProportion(float) - Constructor for class org.openimaj.image.feature.global.ROIProportion
-
Construct with the given alpha value, but use the defaults for the
YehSaliency
estimator.
- ROIProportion(float, float, float, int, float) - Constructor for class org.openimaj.image.feature.global.ROIProportion
-
Construct with the given parameters.
- roiProportion - Variable in class org.openimaj.image.feature.global.ROIProportion
-
- RoiProportionExtractor - Class in org.openimaj.tools.globalfeature.type
-
ROI proportion
- RoiProportionExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.RoiProportionExtractor
-
- Role - Interface in orgrdfs.sioc.ns
-
A Role is a function of a UserAccount within a scope of a particular Forum,
Site, etc.
- RoleImpl - Class in orgrdfs.sioc.ns
-
A Role is a function of a UserAccount within a scope of a particular Forum,
Site, etc.
- RoleImpl() - Constructor for class orgrdfs.sioc.ns.RoleImpl
-
- roll - Variable in class org.openimaj.hardware.compass.CompassData
-
Roll in degrees
- rollout_blank() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- rollout_blank(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- rollout_size() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- rollout_size(int) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_info
-
- root - Variable in class org.openimaj.image.contour.SuzukiContourProcessor
-
the root border detected
- root - Variable in class org.openimaj.image.feature.astheticode.Aestheticode
-
The border object describing the shape of the code
- root - Variable in class org.openimaj.util.tree.ByteKDTree
-
The tree roots
- root - Variable in class org.openimaj.util.tree.DoubleKDTree
-
The tree roots
- root - Variable in class org.openimaj.util.tree.FloatKDTree
-
The tree roots
- root - Variable in class org.openimaj.util.tree.IntKDTree
-
The tree roots
- root - Variable in class org.openimaj.util.tree.LongKDTree
-
The tree roots
- root - Variable in class org.openimaj.util.tree.ShortKDTree
-
The tree roots
- RootFilterSetFilterBank - Class in org.openimaj.image.processing.convolution.filterbank
-
Implementation of the Root Filter Set filter bank described at:
http://www.robots.ox.ac.uk/~vgg/research/texclass/filters.html
- RootFilterSetFilterBank() - Constructor for class org.openimaj.image.processing.convolution.filterbank.RootFilterSetFilterBank
-
Default constructor with a support of 49 pixels.
- RootFilterSetFilterBank(int) - Constructor for class org.openimaj.image.processing.convolution.filterbank.RootFilterSetFilterBank
-
Construct with given support (filter size).
- RootMeanSumLossEvaluator - Class in org.openimaj.ml.linear.evaluation
-
- RootMeanSumLossEvaluator() - Constructor for class org.openimaj.ml.linear.evaluation.RootMeanSumLossEvaluator
-
- rootName - Variable in class org.openimaj.text.nlp.namedentity.NamedEntity
-
Unique root name of entity
- rotate(Point2d, double) - Method in class org.openimaj.math.geometry.point.PointList
-
Rotate the
PointList
about the given origin with the given angle
(in radians)
- rotate(double) - Method in class org.openimaj.math.geometry.point.PointList
-
Rotate the
PointList
about (0,0) with the given angle (in
radians)
- rotate - Variable in class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
- rotate(Point2d, double) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
Rotate the
Rectangle
about the given pivot with the given angle
(in radians)
- Rotate90Simulation - Class in org.openimaj.image.neardups.sim
-
Simulate rotations by 90,180,270,0 degrees
- Rotate90Simulation(int) - Constructor for class org.openimaj.image.neardups.sim.Rotate90Simulation
-
- rotateByDegrees(double) - Method in class org.openimaj.hardware.turntable.Turntable
-
Rotate the turntable by the given angle in degrees.
- rotateByRadians(double) - Method in class org.openimaj.hardware.turntable.Turntable
-
Rotate the turntable by the given angle in radians.
- RotatedRectangle - Class in org.openimaj.math.geometry.shape
-
A rectangle rotated by an angle.
- RotatedRectangle(Rectangle, float) - Constructor for class org.openimaj.math.geometry.shape.RotatedRectangle
-
Construct with a regular
Rectangle
rotated about its centroid
- RotatedRectangle(double, double, double, double, double) - Constructor for class org.openimaj.math.geometry.shape.RotatedRectangle
-
Construct with the given parameters
- RotatedRectangle(float, float, float, float, float) - Constructor for class org.openimaj.math.geometry.shape.RotatedRectangle
-
Construct with the given parameters
- RotateScaleAligner - Class in org.openimaj.image.processing.face.alignment
-
Attempt to align a face by rotating and scaling it.
- RotateScaleAligner() - Constructor for class org.openimaj.image.processing.face.alignment.RotateScaleAligner
-
Default constructor with no mask.
- RotateScaleAligner(int) - Constructor for class org.openimaj.image.processing.face.alignment.RotateScaleAligner
-
Default constructor with no mask.
- RotateScaleAligner(FImage) - Constructor for class org.openimaj.image.processing.face.alignment.RotateScaleAligner
-
Construct with a mask (in the canonical frame) to apply after alignment.
- rotateToDegrees(double) - Method in class org.openimaj.hardware.turntable.Turntable
-
Rotate the turntable to the given absolute angle in degrees (relative to
the position at initialisation).
- rotateToRadians(double) - Method in class org.openimaj.hardware.turntable.Turntable
-
Rotate the turntable to the given absolute angle in radians (relative to
the position at initialisation).
- RotatingCalipers - Class in org.openimaj.math.geometry.shape.util
-
Rotating calipers algorithm, based on the implementation by
Bart Kiers.
- RotatingCalipers() - Constructor for class org.openimaj.math.geometry.shape.util.RotatingCalipers
-
- RotatingCalipers.Caliper - Class in org.openimaj.math.geometry.shape.util
-
- RotatingCalipers.Corner - Enum in org.openimaj.math.geometry.shape.util
-
- RotatingCameraProvider - Class in org.openimaj.vis.general
-
This provides an implementation of the camera position provider interface
that points a camera at a specific point and rotates the camera around the
X, Y and Z planes with specific speeds at a specific radius.
- RotatingCameraProvider(float, float, float, float, float, float, float, float, float, float) - Constructor for class org.openimaj.vis.general.RotatingCameraProvider
-
Rotating camera provider looking at x, y, z with the given radius.
- RotatingCameraProvider(float, float, float, float, float, float, float, float, float, float, float, float) - Constructor for class org.openimaj.vis.general.RotatingCameraProvider
-
Rotating camera provider looking at x, y, z with the given radius.
- rotation - Variable in class org.openimaj.image.camera.Camera
-
The rotation of this camera in world coordinates
- rotation - Variable in class org.openimaj.math.geometry.shape.RotatedRectangle
-
The rotation angle in radians
- rotationMatrix(double) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Construct a rotation about 0, 0.
- rotationMatrixAboutPoint(double, float, float) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Construct a rotation about the centre of the rectangle defined by width
and height (i.e.
- RotationSimulationObjectDetector<IMAGE extends Image<PIXEL,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>,PIXEL,DETECTED_OBJECT> - Class in org.openimaj.image.objectdetection
-
- RotationSimulationObjectDetector(ObjectDetector<IMAGE, DETECTED_OBJECT>, int) - Constructor for class org.openimaj.image.objectdetection.RotationSimulationObjectDetector
-
Construct with the given inner detector and number of rotations.
- RotationSimulationObjectDetector(ObjectDetector<IMAGE, DETECTED_OBJECT>, int, float) - Constructor for class org.openimaj.image.objectdetection.RotationSimulationObjectDetector
-
Construct with the given inner detector, number of rotations and scale
factor.
- RotationSimulationObjectDetector(ObjectDetector<IMAGE, DETECTED_OBJECT>, float[], float) - Constructor for class org.openimaj.image.objectdetection.RotationSimulationObjectDetector
-
Construct with the given inner detector, simulation angles and scale
factor.
- round(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
- roundDouble(double) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
- roundDouble(double) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- roundDouble(double) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
- roundDouble(double) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
- roundDouble(double) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
- roundDouble(double) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
- roundFloat(double) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
- roundFloat(double) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- roundFloat(double) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
- roundFloat(double) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
- roundFloat(double) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
- roundFloat(double) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
- roundInt(double) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
- roundInt(double) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- roundInt(double) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
- roundInt(double) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
- roundInt(double) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
- roundInt(double) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
- roundLong(double) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
- roundLong(double) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- roundLong(double) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
- roundLong(double) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
- roundLong(double) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
- roundLong(double) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
- RoundRobinStreamCombiner<T> - Class in org.openimaj.util.stream.combine
-
Given a
List
of streams of a given type, present a stream of that
type which asks each stream in the
List
for an item in turn.
- RoundRobinStreamCombiner(List<Stream<T>>) - Constructor for class org.openimaj.util.stream.combine.RoundRobinStreamCombiner
-
Construct with the given streams.
- RoundRobinTwitterSearchAPIDataset - Class in org.openimaj.stream.provider.twitter
-
- RoundRobinTwitterSearchAPIDataset(List<Query>, TwitterAPIToken, BlockingDroppingQueue<Status>) - Constructor for class org.openimaj.stream.provider.twitter.RoundRobinTwitterSearchAPIDataset
-
- roundVertices() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Iterates through the vertices and rounds all vertices to round integers.
- row(int) - Method in class ch.akuhn.matrix.Matrix
-
Get the given row as a vector
- row(int) - Method in class ch.akuhn.matrix.SparseMatrix
-
- rowCount() - Method in class ch.akuhn.matrix.DenseMatrix
-
- rowCount() - Method in class ch.akuhn.matrix.Matrix
-
- rowCount() - Method in class ch.akuhn.matrix.SparseMatrix
-
- rowCount() - Method in class ch.akuhn.matrix.SymmetricMatrix
-
- rowCount() - Method in class org.openimaj.math.matrix.DiagonalMatrix
-
- rowCount() - Method in class org.openimaj.math.matrix.JamaDenseMatrix
-
- rowMean(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
- rows() - Method in class ch.akuhn.matrix.DenseMatrix
-
- rows() - Method in class ch.akuhn.matrix.Matrix
-
- rows() - Method in class ch.akuhn.matrix.SparseMatrix
-
- rowSparsity(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Compute the proportion of completely zero rows to rows with non-zero
values
- rowSum(double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each row of a 2d array
- rowSum(float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each row of a 2d array
- rowSum(int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each row of a 2d array
- rowSum(long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each row of a 2d array
- rowSum(byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each row of a 2d array
- rowSum(short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in each row of a 2d array
- rowwiseMean() - Method in class ch.akuhn.matrix.Matrix
-
- rowwiseMean() - Method in class ch.akuhn.matrix.SymmetricMatrix
-
- rPrecision() - Method in class org.lemurproject.ireval.RetrievalEvaluator
-
Returns the precision at the rank equal to the total number of
relevant documents retrieved.
- RuleOfThirds - Class in org.openimaj.image.feature.global
-
Implementation of the rule-of-thirds algorithm described by Yeh et al.
- RuleOfThirds() - Constructor for class org.openimaj.image.feature.global.RuleOfThirds
-
- RuleOfThirds(float, float, float, int) - Constructor for class org.openimaj.image.feature.global.RuleOfThirds
-
- RuleOfThirdsExtractor - Class in org.openimaj.tools.globalfeature.type
-
Rule of thirds feature
- RuleOfThirdsExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.RuleOfThirdsExtractor
-
- RuleSerializer() - Constructor for class org.openimaj.rdf.storm.utils.JenaStormUtils.RuleSerializer
-
- run() - Method in class ch.akuhn.matrix.eigenvalues.AllEigenvalues
-
- run() - Method in class ch.akuhn.matrix.eigenvalues.Eigenvalues
-
Run the decomposition algorithm.
- run() - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues
-
Runs the eigenvalue decomposition, using an implicitly restarted Arnoldi
process (IRAP).
- run(ClassPool, MultiTransformClassFileTransformer, File, String[]) - Static method in class org.openimaj.aop.classloader.ClassLoaderTransform
-
Run the main method of the given jar file, passing all classes as they
are loaded through the transformer to modify the bytecode.
- run(ClassPool, MultiTransformClassFileTransformer, String, String, String[]) - Static method in class org.openimaj.aop.classloader.ClassLoaderTransform
-
Run the main method of the given class, transforming any classes found on
the given classpath as they are loaded.
- run(MultiTransformClassFileTransformer, Class<?>, String[]) - Static method in class org.openimaj.aop.classloader.ClassLoaderTransform
-
Re-load the given class in a newly created Loader
that is
configured to apply the given transform(s), and then run the main method.
- run(ClassLoader, ClassPool, MultiTransformClassFileTransformer, String, String[]) - Static method in class org.openimaj.aop.classloader.ClassLoaderTransform
-
- run(Class<?>, String[], ClassTransformer, ClassTransformer...) - Static method in class org.openimaj.aop.classloader.ClassLoaderTransform
-
If the the given class has not already been loaded in by Loader
,
load it in a newly created Loader
that is configured to apply the
given transform(s), run the main method and return true.
- run() - Method in class org.openimaj.audio.AudioGrabber
-
Start the stream grabbing.
- run() - Method in class org.openimaj.audio.AudioPlayer
-
Use this method to start the time keeper running.
- run() - Method in class org.openimaj.audio.FrequencyAudioSource
-
- run() - Method in class org.openimaj.audio.JavaSoundAudioGrabber
-
Start the stream grabbing.
- run() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Use this method to start the time keeper running.
- run(ResultAggregator<ANALYSIS_RESULT, AGGREGATE_ANALYSIS_RESULT>, DATASET, CrossValidator<DATASET>, ValidationOperation<DATASET, ANALYSIS_RESULT>) - Static method in class org.openimaj.experiment.validation.ValidationRunner
-
Perform cross validation using the given cross validation scheme
on the given data.
- run(ResultAggregator<ANALYSIS_RESULT, AGGREGATE_ANALYSIS_RESULT>, DATASET, CrossValidator<DATASET>, ValidationOperation<DATASET, ANALYSIS_RESULT>, ThreadPoolExecutor) - Static method in class org.openimaj.experiment.validation.ValidationRunner
-
Perform cross validation using the given cross validation scheme
on the given data.
- run(String[]) - Method in class org.openimaj.hadoop.mapreduce.StageRunner
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserTool
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.downloader.HadoopDownloader
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIF
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeans
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.fastkmeans.SequenceFileByteFeatureSelector
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.fastkmeans.SequenceFileByteImageFeatureSelector
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.globalfeature.HadoopGlobalFeaturesTool
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.image.indexing.ComputeLSHDistribution
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.image.indexing.DupsEdgeFilter
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopPcaVladExtractor
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopPqPcaVladIndexer
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.image.indexing.SimpleLSHDuplicatesFinder
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.localfeature.HadoopLocalFeaturesTool
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexer
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.SequenceFileMerger
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.twitter.HadoopCounterTest
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.twitter.HadoopLZOTest
-
- run(String[]) - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterTokenTool
-
- run() - Method in class org.openimaj.hardware.compass.CompassSerialReader
- run() - Method in class org.openimaj.hardware.gps.GPSSerialReader
- run() - Method in class org.openimaj.picslurper.client.ZMQStreamingPicslurperClusterer
-
- run(String) - Method in class org.openimaj.text.nlp.namedentity.YagoCompanyAnnotatorEvaluator
-
- run() - Method in class org.openimaj.time.Sequencer
- run() - Method in interface org.openimaj.time.TimeKeeper
-
Use this method to start the time keeper running.
- run() - Method in class org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob
-
- run() - Method in class org.openimaj.tools.OutputWorker
-
- run() - Method in class org.openimaj.utils.threads.WatchedRunner
-
- run() - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Use this method to start the time keeper running.
- run() - Method in class org.openimaj.video.VideoDisplay
-
- run() - Method in class org.openimaj.video.VideoPlayer.VideoPlayerComponent.AnimatorThread
-
- run() - Method in class org.openimaj.workinprogress.featlearn.cifarexps.CIFARExperimentFramework
-
- runAll() - Method in class org.openimaj.hadoop.mapreduce.MultiStagedJob
-
Run all the staged jobs.
- runClassifier(String[]) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
-
Method to utilize all necessary classification methods in correct order with given mode
which specifies the classifier to be used (loads correct training set).
- runExperiment(RunnableExperiment) - Static method in class org.openimaj.experiment.ExperimentRunner
-
Run an experiment, filling in the context of the experiment as
it runs.
- runMain(String[]) - Method in class org.openimaj.hadoop.mapreduce.StageRunner
-
- RunnableExperiment - Interface in org.openimaj.experiment
-
Interface for classes implementing experiments that can be
run with the
ExperimentRunner
.
- Runner - Class in org.openimaj.image.objectdetection.haar.training
-
- Runner() - Constructor for class org.openimaj.image.objectdetection.haar.training.Runner
-
- RunningStat - Class in org.openimaj.math.util
-
This class is used for providing a running mean and variance of streams of
data.
- RunningStat() - Constructor for class org.openimaj.math.util.RunningStat
-
Default constructor
- RunningStat(double) - Constructor for class org.openimaj.math.util.RunningStat
-
Constructor that takes the first value
- runProcess(Class<?>, String[]) - Static method in class org.openimaj.util.processes.JavaProcess
-
Run the main
main method of the given class in a new JVM.
- runProcess(Class<?>, String) - Static method in class org.openimaj.util.processes.JavaProcess
-
Run the main
main method of the given class in a new JVM.
- runProcess(Class<?>, String[], String[]) - Static method in class org.openimaj.util.processes.JavaProcess
-
Run the main
main method of the given class in a new JVM.
- runProcess(Class<?>, String, String) - Static method in class org.openimaj.util.processes.JavaProcess
-
Run the main
main method of the given class in a new JVM.
- runProcess(JavaProcess.ProcessOptions) - Static method in class org.openimaj.util.processes.JavaProcess
-
- S - Variable in class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
The singular values
- s - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- S5E5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- S5L5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- S5R5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- S5S5 - Static variable in class org.openimaj.image.processing.convolution.filterbank.LawsTextureBase
-
- sa - Variable in class org.openimaj.text.nlp.textpipe.pipes.YagoEntityPipe
-
- saliencyGenerator - Variable in class org.openimaj.image.feature.global.ROIProportion
-
- SaliencyMapGenerator<I extends Image<?,I>> - Interface in org.openimaj.image.saliency
-
Interface for classes capable of processing images (as an image processor)
to generate saliency maps.
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>) - Method in class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>, double) - Static method in class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
Sample a dataset with the given percentage of instances to select.
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>, double, boolean) - Static method in class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
Sample a dataset with the given percentage of instances to select, using
with with-replacement or without-replacement sampling.
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>, int) - Static method in class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
Sample a dataset with the given number of instances to select.
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>, int, boolean) - Static method in class org.openimaj.experiment.dataset.sampling.GroupedUniformRandomisedSampler
-
Sample a dataset with the given number of instances to select, using with
with-replacement or without-replacement sampling.
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>) - Method in class org.openimaj.experiment.dataset.sampling.GroupSampler
-
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>, int, boolean) - Static method in class org.openimaj.experiment.dataset.sampling.GroupSampler
-
Sample a dataset with the given number of groups to select.
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>) - Method in class org.openimaj.experiment.dataset.sampling.NamedGroupSampler
-
- sample(GroupedDataset<KEY, ? extends ListDataset<INSTANCE>, INSTANCE>, Collection<KEY>) - Static method in class org.openimaj.experiment.dataset.sampling.NamedGroupSampler
-
Sample a dataset by selecting only the given group keys.
- sample(DATASET) - Method in interface org.openimaj.experiment.dataset.sampling.Sampler
-
Perform the sampling operation on the given data
and return the sampled dataset.
- sample(GroupedDataset<KEY, ListDataset<INSTANCE>, INSTANCE>) - Method in class org.openimaj.experiment.dataset.sampling.StratifiedGroupedUniformRandomisedSampler
-
- sample(ListDataset<INSTANCE>) - Method in class org.openimaj.experiment.dataset.sampling.UniformRandomisedSampler
-
- sample(int) - Method in class org.openimaj.math.geometry.transforms.estimation.sampling.BucketingSampler2d
-
- sample(int, Random) - Method in class org.openimaj.math.statistics.distribution.AbstractMultivariateDistribution
-
- sample(Random) - Method in class org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian
-
- sample(int, Random) - Method in class org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian
-
- sample(Random) - Method in class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
- sample(int, Random) - Method in class org.openimaj.math.statistics.distribution.CachingMultivariateGaussian
-
- sample(int, Random) - Method in class org.openimaj.math.statistics.distribution.DiagonalMultivariateGaussian
-
- sample(Random) - Method in interface org.openimaj.math.statistics.distribution.kernel.UnivariateKernel
-
Draw a sample from the kernel's underlying distribution
- sample(Random) - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
- sample(int, Random) - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
- sample(int, Random) - Method in interface org.openimaj.math.statistics.distribution.MultivariateDistribution
-
Sample the distribution.
- sample(Random) - Method in interface org.openimaj.math.statistics.distribution.MultivariateDistribution
-
Sample the distribution.
- sample(Random) - Method in class org.openimaj.math.statistics.distribution.MultivariateKernelDensityEstimate
-
- sample(int) - Method in interface org.openimaj.util.CollectionSampler
-
- sample(int) - Method in class org.openimaj.util.UniformSampler
-
- SampleBatch - Class in org.openimaj.tools.clusterquantiser.samplebatch
-
A batch of samples
- SampleBatch() - Constructor for class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
Default constructor
- SampleBatch(FileType, File, int, int, int[]) - Constructor for class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
Default constructor
- SampleBatch(FileType, File, int, int) - Constructor for class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
Default constructor
- SampleBatchByteDataSource - Class in org.openimaj.tools.clusterquantiser.samplebatch
-
A batched datasource
- SampleBatchByteDataSource(List<SampleBatch>) - Constructor for class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchByteDataSource
-
Construct with batches
- SampleBatchIntDataSource - Class in org.openimaj.tools.clusterquantiser.samplebatch
-
A batched datasource
- SampleBatchIntDataSource(List<SampleBatch>) - Constructor for class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchIntDataSource
-
Construct with batches
- SampleBuffer - Interface in org.openimaj.audio.samples
-
This class provides a consistent API for access samples of different sizes
(e.g.
- SampleBuffer16Bit - Class in org.openimaj.audio.samples
-
- SampleBuffer16Bit(SampleChunk, AudioFormat) - Constructor for class org.openimaj.audio.samples.SampleBuffer16Bit
-
Create a new 16-bit sample buffer using the given samples and the given
audio format.
- SampleBuffer16Bit(AudioFormat, int) - Constructor for class org.openimaj.audio.samples.SampleBuffer16Bit
-
Create a new 16-bit sample buffer using the given sample format at the
given size.
- SampleBuffer8Bit - Class in org.openimaj.audio.samples
-
- SampleBuffer8Bit(SampleChunk, AudioFormat) - Constructor for class org.openimaj.audio.samples.SampleBuffer8Bit
-
Create a new 8-bit sample buffer using the given samples and the given
audio format.
- SampleBuffer8Bit(AudioFormat, int) - Constructor for class org.openimaj.audio.samples.SampleBuffer8Bit
-
Create a new sample buffer with the given format and the given number of
samples.
- SampleBufferFactory - Class in org.openimaj.audio.samples
-
- SampleBufferFactory() - Constructor for class org.openimaj.audio.samples.SampleBufferFactory
-
- SampleChunk - Class in org.openimaj.audio
-
Represents a chunk of an audio file and stores the raw audio data.
- SampleChunk(AudioFormat) - Constructor for class org.openimaj.audio.SampleChunk
-
Create a new SampleChunk buffer with the given audio format, but do not
initialise the samples.
- SampleChunk(byte[], AudioFormat) - Constructor for class org.openimaj.audio.SampleChunk
-
Create a new sample chunk using the given samples and the given audio
format.
- SampleChunk(byte[], AudioFormat, AudioTimecode) - Constructor for class org.openimaj.audio.SampleChunk
-
Create a new sample chunk using the given samples and the given audio
format.
- SampledMultivariateDistanceComparator - Class in org.openimaj.math.statistics.distribution.metrics
-
By sampling a distribution and calculating the log liklihood
of those samples against another distribution, construct a distance metric.
- SampledMultivariateDistanceComparator() - Constructor for class org.openimaj.math.statistics.distribution.metrics.SampledMultivariateDistanceComparator
-
- SampledMultivariateDistanceComparator(int) - Constructor for class org.openimaj.math.statistics.distribution.metrics.SampledMultivariateDistanceComparator
-
- SampledMultivariateDistanceComparator(long, int) - Constructor for class org.openimaj.math.statistics.distribution.metrics.SampledMultivariateDistanceComparator
-
- SampleEqualityChecker - Class in org.openimaj.hadoop.tools.fastkmeans
-
- SampleEqualityChecker() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.SampleEqualityChecker
-
- sampleProp - Variable in class org.openimaj.tools.cbir.VLADBuilder
-
- Sampler<DATASET extends Dataset<?>> - Interface in org.openimaj.experiment.dataset.sampling
-
Interface describing classes that can sample instances
from a dataset to create a new (smaller) dataset.
- sampler - Variable in class org.openimaj.math.model.fit.LMedS
-
- sampler - Variable in class org.openimaj.math.model.fit.RANSAC
-
- SampleRateConverter - Class in org.openimaj.audio.conversion
-
A sample rate conversion audio processing class.
- SampleRateConverter(SampleRateConverter.SampleRateConversionAlgorithm, AudioFormat) - Constructor for class org.openimaj.audio.conversion.SampleRateConverter
-
Default constructor that takes the input conversion
- SampleRateConverter(AudioStream, SampleRateConverter.SampleRateConversionAlgorithm, AudioFormat) - Constructor for class org.openimaj.audio.conversion.SampleRateConverter
-
Chainable constructor.
- SampleRateConverter.SampleRateConversionAlgorithm - Enum in org.openimaj.audio.conversion
-
An enumerator of the different sample rate conversion algorithms
available in this sample rate converter.
- sampleResponses(FImage, float[], int) - Method in class org.openimaj.image.feature.global.Gist
-
Sample the average response from each of the blocks in the image and
insert into the vector.
- samples - Variable in class org.openimaj.image.feature.dense.binarypattern.ExtendedLocalBinaryPattern
-
- samples - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- samplesAvailable(SampleChunk) - Method in interface org.openimaj.audio.AudioGrabberListener
-
Called by an
AudioGrabber
when a new sample chunk is available
for processing.
- samplesFile - Variable in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- samplesFileMode - Variable in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- samplesOnly - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
-
- samplingSize - Variable in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor
-
- samplingSize - Variable in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
The size of the sampling window relative to the sampling scale.
- SampsonGeometricResidual() - Constructor for class org.openimaj.math.geometry.transforms.FundamentalModel.SampsonGeometricResidual
-
- SandeepFaceDetector - Class in org.openimaj.image.processing.face.detection
-
Implementation of a face detector along the lines of "Human Face Detection in
Cluttered Color Images Using Skin Color and Edge Information" K.
- SandeepFaceDetector() - Constructor for class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
- SandeepFaceDetector(MBFPixelClassificationModel) - Constructor for class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
Construct the detector with the given pixel classification model.
- sanitise(Float[]) - Method in enum org.openimaj.image.colour.ColourSpace
-
Sanitise the given colour array to fit the colour space format.
- sanitise(Float) - Method in class org.openimaj.image.renderer.FImageRenderer
-
- sanitise(Q) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Sanitize the colour given to fit this image's pixel type.
- sanitise(Float[]) - Method in class org.openimaj.image.renderer.MBFImageRenderer
-
- sanitise(Float[]) - Method in class org.openimaj.image.renderer.SVGRenderer
-
- sanitizeFilename(String) - Static method in class org.openimaj.picslurper.StatusConsumer
-
Replaces illegal characters in a filename with "_" illegal characters : :
\ / * ? | < >
- sats - Variable in class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
- Saturation - Class in org.openimaj.image.feature.global
-
Estimate the saturation of an image using the RGB approximation of
avg(max(R,G,B) - min(R,G,B)).
- Saturation() - Constructor for class org.openimaj.image.feature.global.Saturation
-
- SaturationVariation - Class in org.openimaj.image.feature.global
-
Estimate the variation in saturation of an image using the RGB approximation
of avg(max(R,G,B) - min(R,G,B)).
- SaturationVariation() - Constructor for class org.openimaj.image.feature.global.SaturationVariation
-
- SATWindowedExtractor - Class in org.openimaj.image.analysis.algorithm.histogram
-
This class implements a
WindowedHistogramExtractor
with the primary
purpose of of producing efficient access to histograms of arbitrary windows
of the image.
- SATWindowedExtractor(int) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
Protected constructor for subclasses to use if they don't wan't to
compute the SATs at construction time
- SATWindowedExtractor(FImage[]) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.SATWindowedExtractor
-
Construct with the given spatial histogram magnitude maps.
- save(OutputStream) - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
Serialize the detector using java serialization to the given stream
- save(File) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
- saveRecogniser() - Method in class org.openimaj.tools.faces.recognition.FaceRecognitionCrossValidatorTool
-
- saveToken(T, String) - Method in class org.openimaj.util.api.auth.DefaultTokenFactory
-
Save the parameters of the given token to the backing preference store.
- SawOscillator() - Constructor for class org.openimaj.audio.generation.Oscillator.SawOscillator
-
- sb_tree - Variable in class org.openimaj.math.geometry.shape.util.polygon.ScanBeamTreeEntries
-
- sbout - Variable in enum org.openimaj.audio.conversion.SampleRateConverter.SampleRateConversionAlgorithm
-
- sbt_entries - Variable in class org.openimaj.math.geometry.shape.util.polygon.ScanBeamTreeEntries
-
- ScalarArithmetic<OBJECT,SCALAR extends Number> - Interface in org.openimaj.util.math
-
Implementing classes provide a set of simple arithmetic operators which can be
applied both in-place and on new object instances.
- scale - Variable in class org.openimaj.feature.local.ScaleSpaceLocation
-
the scale
- scale - Variable in class org.openimaj.image.feature.local.extraction.ScaleSpaceImageExtractorProperties
-
The scale of the interest point
- scale - Variable in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
scale of keypoint
- scale - Variable in class org.openimaj.image.feature.local.keypoints.Keypoint
-
scale of keypoint
- scale - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
The scale at which to process the video
- scale - Variable in class org.openimaj.image.processing.resize.BicubicInterpolation
-
- scale - Variable in class org.openimaj.image.processing.resize.BilinearInterpolation
-
- scale(float) - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
Scale the shape by the given amount about (0,0).
- scale(Point2d, float) - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
Scale the shape by the given amount about the given point.
- scale(float) - Method in class org.openimaj.math.geometry.line.Line2d
-
- scale(Point2d, float) - Method in class org.openimaj.math.geometry.line.Line2d
-
- scale(float) - Method in class org.openimaj.math.geometry.point.PointList
-
Scale the
PointList
by the given amount about (0,0).
- scale(Point2d, float) - Method in class org.openimaj.math.geometry.point.PointList
-
Scale the
PointList
by the given amount about the given point.
- scale(float) - Method in class org.openimaj.math.geometry.shape.Circle
-
- scale(Point2d, float) - Method in class org.openimaj.math.geometry.shape.Circle
-
- scale(float) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- scale(Point2d, float) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- scale(float) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Scale the polygon by the given amount about (0,0).
- scale(Point2d, float) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Scale the polygon by the given amount about the given point.
- scale(float) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- scale(Point2d, float) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- scale(float) - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- scale(Point2d, float) - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- scale(float) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- scale(Point2d, float) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- SCALE_FONT - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- SCALE_MAX - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- SCALE_MIN - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- scaleAndAddTo(double, Vector) - Method in class ch.akuhn.matrix.SparseVector
-
- scaleAndAddTo(double, Vector) - Method in class ch.akuhn.matrix.Vector
-
y = y + a*this
.
- scaleCentroid(float) - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
Scale the shape about its centroid.
- scaleCentroid(float) - Method in class org.openimaj.math.geometry.line.Line2d
-
- scaleCentroid(float) - Method in class org.openimaj.math.geometry.point.PointList
-
Scale the
PointList
about its centre of gravity.
- scaleCentroid(float) - Method in class org.openimaj.math.geometry.shape.Circle
-
- scaleCentroid(float) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- scaleCentroid(float) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- scaleCentroid(float) - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- scaleCentroid(float) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- scaleDimension(D) - Method in interface org.openimaj.vis.DataUnitsTransformer
-
Given a specific data dimension, calculates a render dimension.
- scaleDimension(double[]) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Given a specific data dimension, calculates a render dimension.
- scaleDimension(double[]) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- scaleDimension(Double) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- scaleDimension(Double) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- scaleDimensions(double, double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Given two dimensions, returns the dimensions scaled to the appropriate sizes.
- scaleFactor - Variable in class org.openimaj.image.objectdetection.haar.Detector
-
- scaleFactor - Variable in class org.openimaj.image.objectdetection.hog.HOGDetector
-
- scaleInplace(T, double) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
A = A .
- scaleMatrix(double, double) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Construct a homogeneous scaling transform with the given amounts of
scaling.
- scaleMatrixAboutPoint(double, double, int, int) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Create a scaling centered around a point.
- scaleMatrixAboutPoint(double, double, Point2d) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Create a scaling centered around a point.
- scales - Variable in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
The number of scales in this octave minus extraScaleSteps.
- scales - Variable in class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder
-
- SCALES - Static variable in class org.openimaj.image.processing.convolution.filterbank.RootFilterSetFilterBank
-
- ScaleSpaceFeatureExtractor<F extends FeatureVector,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Interface in org.openimaj.image.feature.local.detector.dog.extractor
-
- ScaleSpaceImageExtractorProperties<I extends Image<?,I> & SinglebandImageProcessor.Processable<Float,FImage,I>> - Class in org.openimaj.image.feature.local.extraction
-
- ScaleSpaceImageExtractorProperties() - Constructor for class org.openimaj.image.feature.local.extraction.ScaleSpaceImageExtractorProperties
-
- ScaleSpaceLocation - Class in org.openimaj.feature.local
-
ScaleSpaceLocation represents a
Location
in scale-space.
- ScaleSpaceLocation() - Constructor for class org.openimaj.feature.local.ScaleSpaceLocation
-
Construct the ScaleSpaceLocation at 0, 0, 0.
- ScaleSpaceLocation(float, float, float) - Constructor for class org.openimaj.feature.local.ScaleSpaceLocation
-
Construct the ScaleSpaceLocation with the given x, y and
scale coordinates.
- ScaleSpacePoint - Interface in org.openimaj.math.geometry.point
-
ScaleSpacePoint represents a
Point2d
in scale-space.
- scaleX(float) - Method in class org.openimaj.math.geometry.point.PointList
-
Scale the
PointList
only in the x-direction by the given amount
about (0,0).
- scaleX(float) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Scale the polygon only in the x-direction by the given amount about
(0,0).
- scaleXY(float, float) - Method in class org.openimaj.math.geometry.point.PointList
-
Scale the
PointList
by the given amount about (0,0).
- scaleXY(float, float) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Scale the polygon by the given amount about (0,0).
- scaleY(float) - Method in class org.openimaj.math.geometry.point.PointList
-
Scale the
PointList
only in the y-direction by the given amount
about (0,0).
- scaleY(float) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Scale the polygon only in the y-direction by the given amount about
(0,0).
- scaling - Variable in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor
-
- scaling - Variable in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
The value for weighting the scaling Gaussian of the orientation histogram
relative to the keypoint scale.
- scaling - Variable in class org.openimaj.image.segmentation.KMColourSegmenter
-
- scaling - Variable in class org.openimaj.math.geometry.shape.algorithm.ProcrustesAnalysis
-
- ScalingAligner<T extends DetectedFace> - Class in org.openimaj.image.processing.face.alignment
-
A FaceAligner that just scales the face patch held with the
DetectedFace
to a predefined size.
- ScalingAligner() - Constructor for class org.openimaj.image.processing.face.alignment.ScalingAligner
-
Construct with the default target size of 100x100.
- ScalingAligner(int, int) - Constructor for class org.openimaj.image.processing.face.alignment.ScalingAligner
-
Construct the aligner with the given target size
- ScalingImageComponent() - Constructor for class org.openimaj.image.DisplayUtilities.ScalingImageComponent
-
Construct the ScalingImageComponent with fast scaling enabled
- ScalingImageComponent(boolean) - Constructor for class org.openimaj.image.DisplayUtilities.ScalingImageComponent
-
Construct the ScalingImageComponent, choosing between fast scaling or high
quality scaling
- ScanBeamTree - Class in org.openimaj.math.geometry.shape.util.polygon
-
Scanbeam tree
- ScanBeamTree(double) - Constructor for class org.openimaj.math.geometry.shape.util.polygon.ScanBeamTree
-
- ScanBeamTreeEntries - Class in org.openimaj.math.geometry.shape.util.polygon
-
- ScanBeamTreeEntries() - Constructor for class org.openimaj.math.geometry.shape.util.polygon.ScanBeamTreeEntries
-
- scanFill(List<Point2d>, ScanRasteriser.ScanLineListener) - Static method in class org.openimaj.image.renderer.ScanRasteriser
-
The scan-fill algorithm.
- ScanRasteriser - Class in org.openimaj.image.renderer
-
Implementation of the scan-line rasterisation algorithm for filling polygons.
- ScanRasteriser.ScanLineListener - Interface in org.openimaj.image.renderer
-
Listen for scans.
- SchmidFilterBank - Class in org.openimaj.image.processing.convolution.filterbank
-
Implementation of the MR8 filter bank described in: C.
- SchmidFilterBank() - Constructor for class org.openimaj.image.processing.convolution.filterbank.SchmidFilterBank
-
Default constructor with a support of 49 pixels.
- SchmidFilterBank(int) - Constructor for class org.openimaj.image.processing.convolution.filterbank.SchmidFilterBank
-
Construct with given support (filter size).
- school() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The school where the thesis was written
- scl - Variable in class org.openimaj.image.processing.face.feature.FacePatchFeature
-
The scale of the descriptor samples about each point
- score - Variable in class org.lemurproject.ireval.RetrievalEvaluator.Document
-
The score given to this document by the retrieval system.
- score() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- score() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.NMIAnalysis
-
- score() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.PurityAnalysis
-
- score() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalysis
-
- score() - Method in interface org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineWrappable
-
- score() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- score(int, int) - Method in class org.openimaj.experiment.gmm.retrieval.UKBenchGMMExperiment
-
- score - Variable in class org.openimaj.image.feature.local.interest.InterestPointData
-
- score(double[], double[]) - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Compute the matching score between a pair of (high dimensional) features.
- Scored - Interface in org.openimaj.experiment.evaluation.retrieval
-
Interface for objects that have an associated score.
- ScoredAnnotation<ANNOTATION> - Class in org.openimaj.ml.annotation
-
An annotation that was produced automatically with a given confidence.
- ScoredAnnotation(ANNOTATION, float) - Constructor for class org.openimaj.ml.annotation.ScoredAnnotation
-
Construct with the given annotation and confidence
- scorer - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner
-
- scorer - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner
-
- scorer - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner
-
- scorer - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner
-
- scorer - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner
-
- scorer - Variable in class org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner
-
- scoreSamples(double[][]) - Method in class org.openimaj.math.statistics.distribution.MixtureOfGaussians
-
Compute the posterior distribution of the samples, and the overall log
probability of each sample as belonging to the model.
- scoresAscending() - Method in enum org.openimaj.image.analysis.algorithm.FourierTemplateMatcher.Mode
-
Are the scores ascending (i.e.
- scoresAscending() - Method in enum org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode
-
Are the scores ascending (i.e.
- search(int[][]) - Method in class org.openimaj.demos.BasicDuplicateImageDatabase
-
Search for a given image (represented by its features) in the database
- search(QUERY) - Method in interface org.openimaj.experiment.evaluation.retrieval.RetrievalEngine
-
Search with the given query and return a ranked list of matching
documents.
- search(ImageProvider<MBFImage>) - Method in class org.openimaj.image.indexing.vlad.VLADIndexer
-
- search(OBJECT[]) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Search for similar data in the underlying tables and return all matches
- search(OBJECT) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
Search for a similar data item in the underlying tables and return all
matches
- search(String, String[], String, int) - Method in class org.openimaj.text.nlp.namedentity.QuickSearcher
-
Given a search field to search,the name of the field to return results in
and a query string, return search results up to the limit.
- search(double[], double) - Static method in class org.openimaj.util.array.ArrayUtils
-
Find the given value in the array, and return all indices at which it occurs.
- search(float[], float) - Static method in class org.openimaj.util.array.ArrayUtils
-
Find the given value in the array, and return all indices at which it occurs.
- search(int[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Find the given value in the array, and return all indices at which it occurs.
- search(long[], long) - Static method in class org.openimaj.util.array.ArrayUtils
-
Find the given value in the array, and return all indices at which it occurs.
- search(byte[], byte) - Static method in class org.openimaj.util.array.ArrayUtils
-
Find the given value in the array, and return all indices at which it occurs.
- search(short[], short) - Static method in class org.openimaj.util.array.ArrayUtils
-
Find the given value in the array, and return all indices at which it occurs.
- search(String, String) - Method in class org.openimaj.web.readability.Readability
-
Javascript-like String.search
- searchAreaSize - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
The size of the search area for redetection (template matching)
- searchFiltered(String, String[], String, String, List<String>) - Method in class org.openimaj.text.nlp.namedentity.QuickSearcher
-
Given a list of values for the filterField, this method will return the
scores of a search for the documents which satisfy one of those filter
values.
- searchKNN(byte[][], int, int[][], float[][]) - Method in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
- searchKNN(List<byte[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
- searchKNN(byte[], int) - Method in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
- searchKNN(double[][], int, int[][], double[][]) - Method in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
- searchKNN(List<double[]>, int, int[][], double[][]) - Method in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
- searchKNN(double[], int) - Method in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
- searchKNN(float[][], int, int[][], float[][]) - Method in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
- searchKNN(List<float[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
- searchKNN(float[], int) - Method in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
- searchKNN(int[][], int, int[][], float[][]) - Method in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
- searchKNN(List<int[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
- searchKNN(int[], int) - Method in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
- searchKNN(long[][], int, int[][], double[][]) - Method in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
- searchKNN(List<long[]>, int, int[][], double[][]) - Method in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
- searchKNN(long[], int) - Method in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
- searchKNN(short[][], int, int[][], float[][]) - Method in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
- searchKNN(List<short[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
- searchKNN(short[], int) - Method in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
- searchKNN(byte[][], int, int[][], float[][]) - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
- searchKNN(List<byte[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
- searchKNN(byte[], int) - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
- searchKNN(double[][], int, int[][], double[][]) - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- searchKNN(List<double[]>, int, int[][], double[][]) - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- searchKNN(double[], int) - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- searchKNN(float[][], int, int[][], float[][]) - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
- searchKNN(List<float[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
- searchKNN(float[], int) - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
- searchKNN(int[], int, int[][], DISTANCES[]) - Method in interface org.openimaj.knn.InternalNearestNeighbours
-
Search for the K nearest neighbours to each of the N queries, and return
the indices of each nearest neighbour and their respective distances.
- searchKNN(int[][], int, int[][], float[][]) - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
- searchKNN(List<int[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
- searchKNN(int[], int) - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
- searchKNN(long[][], int, int[][], double[][]) - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
- searchKNN(List<long[]>, int, int[][], double[][]) - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
- searchKNN(long[], int) - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
- searchKNN(OBJECT[], int, int[][], float[][]) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- searchKNN(List<OBJECT>, int, int[][], float[][]) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- searchKNN(OBJECT, int) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- searchKNN(DATA[], int, int[][], DISTANCES[]) - Method in interface org.openimaj.knn.NearestNeighbours
-
Search for the K nearest neighbours to each of the N queries, and return
the indices of each nearest neighbour and their respective distances.
- searchKNN(List<DATA>, int, int[][], DISTANCES[]) - Method in interface org.openimaj.knn.NearestNeighbours
-
Search for the K nearest neighbours to each of the N queries, and return
the indices of each nearest neighbour and their respective distances.
- searchKNN(DATA, int) - Method in interface org.openimaj.knn.NearestNeighbours
-
Search for the K nearest neighbours to the given query and return an
ordered list of pairs containing the distance and index of each
neighbour.
- searchKNN(T[], int, int[][], float[][]) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- searchKNN(List<T>, int, int[][], float[][]) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- searchKNN(T, int) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- searchKNN(byte[][], int, int[][], float[][]) - Method in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- searchKNN(List<byte[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- searchKNN(byte[], int) - Method in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- searchKNN(double[][], int, int[][], double[][]) - Method in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- searchKNN(List<double[]>, int, int[][], double[][]) - Method in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- searchKNN(double[], int) - Method in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- searchKNN(float[][], int, int[][], float[][]) - Method in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- searchKNN(List<float[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- searchKNN(float[], int) - Method in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- searchKNN(byte[][], int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- searchKNN(List<byte[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- searchKNN(byte[], int) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- searchKNN(double[][], int, int[][], double[][]) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- searchKNN(List<double[]>, int, int[][], double[][]) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- searchKNN(double[], int) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- searchKNN(float[][], int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- searchKNN(List<float[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- searchKNN(float[], int) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- searchKNN(int[][], int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- searchKNN(List<int[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- searchKNN(int[], int) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- searchKNN(long[][], int, int[][], double[][]) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- searchKNN(List<long[]>, int, int[][], double[][]) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- searchKNN(long[], int) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- searchKNN(short[][], int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- searchKNN(List<short[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- searchKNN(short[], int) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- searchKNN(int[][], int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- searchKNN(List<int[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- searchKNN(int[], int) - Method in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- searchKNN(long[][], int, int[][], double[][]) - Method in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- searchKNN(List<long[]>, int, int[][], double[][]) - Method in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- searchKNN(long[], int) - Method in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- searchKNN(short[][], int, int[][], float[][]) - Method in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- searchKNN(List<short[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- searchKNN(short[], int) - Method in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- searchKNN(short[][], int, int[][], float[][]) - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
- searchKNN(List<short[]>, int, int[][], float[][]) - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
- searchKNN(short[], int) - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
- searchNN(byte[][], int[], float[]) - Method in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
- searchNN(List<byte[]>, int[], float[]) - Method in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
- searchNN(byte[]) - Method in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
- searchNN(double[][], int[], double[]) - Method in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
- searchNN(List<double[]>, int[], double[]) - Method in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
- searchNN(double[]) - Method in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
- searchNN(float[][], int[], float[]) - Method in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
- searchNN(List<float[]>, int[], float[]) - Method in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
- searchNN(float[]) - Method in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
- searchNN(int[][], int[], float[]) - Method in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
- searchNN(List<int[]>, int[], float[]) - Method in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
- searchNN(int[]) - Method in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
- searchNN(long[][], int[], double[]) - Method in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
- searchNN(List<long[]>, int[], double[]) - Method in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
- searchNN(long[]) - Method in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
- searchNN(short[][], int[], float[]) - Method in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
- searchNN(List<short[]>, int[], float[]) - Method in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
- searchNN(short[]) - Method in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
- searchNN(byte[][], int[], float[]) - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
- searchNN(List<byte[]>, int[], float[]) - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
- searchNN(byte[]) - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
- searchNN(double[][], int[], double[]) - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- searchNN(List<double[]>, int[], double[]) - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- searchNN(double[]) - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- searchNN(float[][], int[], float[]) - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
- searchNN(List<float[]>, int[], float[]) - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
- searchNN(float[]) - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
- searchNN(int[], int[], DISTANCES) - Method in interface org.openimaj.knn.InternalNearestNeighbours
-
Search for the nearest neighbour to each of the N queries (given by their
index in this nearest neighbours object), and return the index of each
nearest neighbour and the respective distance.
- searchNN(int[][], int[], float[]) - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
- searchNN(List<int[]>, int[], float[]) - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
- searchNN(int[]) - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
- searchNN(long[][], int[], double[]) - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
- searchNN(List<long[]>, int[], double[]) - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
- searchNN(long[]) - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
- searchNN(OBJECT[], int[], float[]) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- searchNN(List<OBJECT>, int[], float[]) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- searchNN(OBJECT) - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- searchNN(DATA[], int[], DISTANCES) - Method in interface org.openimaj.knn.NearestNeighbours
-
Search for the nearest neighbour to each of the N queries, and return the
index of each nearest neighbour and the respective distance.
- searchNN(List<DATA>, int[], DISTANCES) - Method in interface org.openimaj.knn.NearestNeighbours
-
Search for the nearest neighbour to each of the N queries, and return the
index of each nearest neighbour and the respective distance.
- searchNN(DATA) - Method in interface org.openimaj.knn.NearestNeighbours
-
Search for the nearest neighbour to the given query and return a pair
containing the distance and index of that neighbour.
- searchNN(T[], int[], float[]) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- searchNN(List<T>, int[], float[]) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- searchNN(T) - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- searchNN(byte[][], int[], float[]) - Method in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- searchNN(List<byte[]>, int[], float[]) - Method in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- searchNN(byte[]) - Method in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- searchNN(double[][], int[], double[]) - Method in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- searchNN(List<double[]>, int[], double[]) - Method in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- searchNN(double[]) - Method in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- searchNN(float[][], int[], float[]) - Method in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- searchNN(List<float[]>, int[], float[]) - Method in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- searchNN(float[]) - Method in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- searchNN(byte[][], int[], float[]) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- searchNN(List<byte[]>, int[], float[]) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- searchNN(byte[]) - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- searchNN(double[][], int[], double[]) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- searchNN(List<double[]>, int[], double[]) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- searchNN(double[]) - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- searchNN(float[][], int[], float[]) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- searchNN(List<float[]>, int[], float[]) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- searchNN(float[]) - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- searchNN(int[][], int[], float[]) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- searchNN(List<int[]>, int[], float[]) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- searchNN(int[]) - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- searchNN(long[][], int[], double[]) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- searchNN(List<long[]>, int[], double[]) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- searchNN(long[]) - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- searchNN(short[][], int[], float[]) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- searchNN(List<short[]>, int[], float[]) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- searchNN(short[]) - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- searchNN(int[][], int[], float[]) - Method in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- searchNN(List<int[]>, int[], float[]) - Method in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- searchNN(int[]) - Method in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- searchNN(long[][], int[], double[]) - Method in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- searchNN(List<long[]>, int[], double[]) - Method in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- searchNN(long[]) - Method in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- searchNN(short[][], int[], float[]) - Method in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- searchNN(List<short[]>, int[], float[]) - Method in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- searchNN(short[]) - Method in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- searchNN(short[][], int[], float[]) - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
- searchNN(List<short[]>, int[], float[]) - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
- searchNN(short[]) - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
- second - Variable in class org.openimaj.util.pair.ByteBytePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ByteDoublePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ByteFloatPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ByteIntPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ByteLongPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ByteObjectPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ByteShortPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.DoubleBytePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.DoubleDoublePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.DoubleFloatPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.DoubleIntPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.DoubleLongPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.DoubleObjectPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.DoubleShortPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.FloatBytePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.FloatDoublePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.FloatFloatPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.FloatIntPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.FloatLongPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.FloatObjectPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.FloatShortPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.IntBytePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.IntDoublePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.IntFloatPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.IntIntPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.IntLongPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.IntObjectPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.IntShortPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.LongBytePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.LongDoublePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.LongFloatPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.LongIntPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.LongLongPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.LongObjectPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.LongShortPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ObjectBytePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ObjectDoublePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ObjectFloatPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ObjectIntPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ObjectLongPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ObjectShortPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ShortBytePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ShortDoublePair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ShortFloatPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ShortIntPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ShortLongPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ShortObjectPair
-
The first element of the pair
- second - Variable in class org.openimaj.util.pair.ShortShortPair
-
The first element of the pair
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteBytePair
-
Comparator for comparing the second element of a
ByteBytePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteDoublePair
-
Comparator for comparing the second element of a
ByteDoublePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteFloatPair
-
Comparator for comparing the second element of a
ByteFloatPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteIntPair
-
Comparator for comparing the second element of a
ByteIntPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteLongPair
-
Comparator for comparing the second element of a
ByteLongPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteShortPair
-
Comparator for comparing the second element of a
ByteShortPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleBytePair
-
Comparator for comparing the second element of a
DoubleBytePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleDoublePair
-
Comparator for comparing the second element of a
DoubleDoublePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleFloatPair
-
Comparator for comparing the second element of a
DoubleFloatPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleIntPair
-
Comparator for comparing the second element of a
DoubleIntPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleLongPair
-
Comparator for comparing the second element of a
DoubleLongPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleShortPair
-
Comparator for comparing the second element of a
DoubleShortPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatBytePair
-
Comparator for comparing the second element of a
FloatBytePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatDoublePair
-
Comparator for comparing the second element of a
FloatDoublePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatFloatPair
-
Comparator for comparing the second element of a
FloatFloatPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatIntPair
-
Comparator for comparing the second element of a
FloatIntPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatLongPair
-
Comparator for comparing the second element of a
FloatLongPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatShortPair
-
Comparator for comparing the second element of a
FloatShortPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntBytePair
-
Comparator for comparing the second element of a
IntBytePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntDoublePair
-
Comparator for comparing the second element of a
IntDoublePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntFloatPair
-
Comparator for comparing the second element of a
IntFloatPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntIntPair
-
Comparator for comparing the second element of a
IntIntPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntLongPair
-
Comparator for comparing the second element of a
IntLongPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntShortPair
-
Comparator for comparing the second element of a
IntShortPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongBytePair
-
Comparator for comparing the second element of a
LongBytePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongDoublePair
-
Comparator for comparing the second element of a
LongDoublePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongFloatPair
-
Comparator for comparing the second element of a
LongFloatPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongIntPair
-
Comparator for comparing the second element of a
LongIntPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongLongPair
-
Comparator for comparing the second element of a
LongLongPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongShortPair
-
Comparator for comparing the second element of a
LongShortPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectBytePair
-
Comparator for comparing the second element of a
ObjectBytePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectDoublePair
-
Comparator for comparing the second element of a
ObjectDoublePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectFloatPair
-
Comparator for comparing the second element of a
ObjectFloatPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectIntPair
-
Comparator for comparing the second element of a
ObjectIntPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectLongPair
-
Comparator for comparing the second element of a
ObjectLongPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectShortPair
-
Comparator for comparing the second element of a
ObjectShortPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortBytePair
-
Comparator for comparing the second element of a
ShortBytePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortDoublePair
-
Comparator for comparing the second element of a
ShortDoublePair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortFloatPair
-
Comparator for comparing the second element of a
ShortFloatPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortIntPair
-
Comparator for comparing the second element of a
ShortIntPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortLongPair
-
Comparator for comparing the second element of a
ShortLongPair
in ascending order.
- SECOND_ITEM_ASCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortShortPair
-
Comparator for comparing the second element of a
ShortShortPair
in ascending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteBytePair
-
Comparator for comparing the second element of a
ByteBytePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteDoublePair
-
Comparator for comparing the second element of a
ByteDoublePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteFloatPair
-
Comparator for comparing the second element of a
ByteFloatPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteIntPair
-
Comparator for comparing the second element of a
ByteIntPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteLongPair
-
Comparator for comparing the second element of a
ByteLongPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ByteShortPair
-
Comparator for comparing the second element of a
ByteShortPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleBytePair
-
Comparator for comparing the second element of a
DoubleBytePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleDoublePair
-
Comparator for comparing the second element of a
DoubleDoublePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleFloatPair
-
Comparator for comparing the second element of a
DoubleFloatPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleIntPair
-
Comparator for comparing the second element of a
DoubleIntPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleLongPair
-
Comparator for comparing the second element of a
DoubleLongPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.DoubleShortPair
-
Comparator for comparing the second element of a
DoubleShortPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatBytePair
-
Comparator for comparing the second element of a
FloatBytePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatDoublePair
-
Comparator for comparing the second element of a
FloatDoublePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatFloatPair
-
Comparator for comparing the second element of a
FloatFloatPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatIntPair
-
Comparator for comparing the second element of a
FloatIntPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatLongPair
-
Comparator for comparing the second element of a
FloatLongPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.FloatShortPair
-
Comparator for comparing the second element of a
FloatShortPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntBytePair
-
Comparator for comparing the second element of a
IntBytePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntDoublePair
-
Comparator for comparing the second element of a
IntDoublePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntFloatPair
-
Comparator for comparing the second element of a
IntFloatPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntIntPair
-
Comparator for comparing the second element of a
IntIntPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntLongPair
-
Comparator for comparing the second element of a
IntLongPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.IntShortPair
-
Comparator for comparing the second element of a
IntShortPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongBytePair
-
Comparator for comparing the second element of a
LongBytePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongDoublePair
-
Comparator for comparing the second element of a
LongDoublePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongFloatPair
-
Comparator for comparing the second element of a
LongFloatPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongIntPair
-
Comparator for comparing the second element of a
LongIntPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongLongPair
-
Comparator for comparing the second element of a
LongLongPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.LongShortPair
-
Comparator for comparing the second element of a
LongShortPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectBytePair
-
Comparator for comparing the second element of a
ObjectBytePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectDoublePair
-
Comparator for comparing the second element of a
ObjectDoublePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectFloatPair
-
Comparator for comparing the second element of a
ObjectFloatPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectIntPair
-
Comparator for comparing the second element of a
ObjectIntPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectLongPair
-
Comparator for comparing the second element of a
ObjectLongPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ObjectShortPair
-
Comparator for comparing the second element of a
ObjectShortPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortBytePair
-
Comparator for comparing the second element of a
ShortBytePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortDoublePair
-
Comparator for comparing the second element of a
ShortDoublePair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortFloatPair
-
Comparator for comparing the second element of a
ShortFloatPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortIntPair
-
Comparator for comparing the second element of a
ShortIntPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortLongPair
-
Comparator for comparing the second element of a
ShortLongPair
in descending order.
- SECOND_ITEM_DESCENDING_COMPARATOR - Static variable in class org.openimaj.util.pair.ShortShortPair
-
Comparator for comparing the second element of a
ShortShortPair
in descending order.
- secondCommonEdges - Variable in class org.openimaj.demos.DTConsistency.DTConsistencyInfo
-
- secondMomentsAndScale() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- secondObject() - Method in class org.openimaj.util.pair.IndependentPair
-
- seconds - Variable in class org.openimaj.tools.faces.extraction.FaceExtractorToolOptions
-
How often to take a face test
- secondTrianglulation - Variable in class org.openimaj.demos.DTConsistency.DTConsistencyInfo
-
- secondVertex() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- secret - Variable in class org.openimaj.util.api.auth.common.FlickrAPIToken
-
The API Secret
- SED2013Ternary - Class in org.openimaj.vis.ternary
-
- SED2013Ternary() - Constructor for class org.openimaj.vis.ternary.SED2013Ternary
-
- seed(long) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Set the seed for the internal random number generator.
- seed(long) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Set the seed for the internal random number generator.
- seed(long) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Set the seed for the internal random number generator.
- seed(long) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Set the seed for the internal random number generator.
- seed(long) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Set the seed for the internal random number generator.
- seed(long) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Set the seed for the internal random number generator.
- seed(long) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Set the seed for the internal random number generator.
- seed - Variable in class org.openimaj.ml.clustering.random.RandomByteClusterer
-
- seed - Variable in class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
- seed - Variable in class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
- seed - Variable in class org.openimaj.ml.clustering.random.RandomIntClusterer
-
- seed - Variable in class org.openimaj.ml.clustering.random.RandomLongClusterer
-
- seed - Variable in class org.openimaj.ml.clustering.random.RandomShortClusterer
-
- SEED - Static variable in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
The random seed of any randomised components of this learner (usually
initialisation).
- SEED - Static variable in class org.openimaj.util.hash.HashCodeUtil
-
An initial value for a hashCode
, to which is added contributions
from fields.
- SeedBuilder - Class in org.openimaj.text.nlp.namedentity
-
- seek(long) - Method in class org.openimaj.audio.AudioPlayer
-
Seek to a given timestamp.
- seek(long) - Method in class org.openimaj.audio.AudioStream
-
Seeks the audio to the given timestamp.
- seek(long) - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Seek to a given timestamp.
- seek(long) - Method in interface org.openimaj.time.TimeKeeper
-
Seek to a given timestamp.
- seek(double) - Method in class org.openimaj.video.Video
-
Seek the video to a given timestamp in SECONDS.
- seek(long) - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Seek to a given timestamp.
- seek(long) - Method in class org.openimaj.video.VideoDisplay
-
Seek to a given timestamp in millis.
- seek(long) - Method in class org.openimaj.video.xuggle.XuggleAudio
-
Seeks the audio to the given timestamp.
- seek(double) - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Seek the video to a given timestamp in SECONDS.
- seekPrecise(double) - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Implements a precise seeking mechanism based on the Xuggle seek method
and the naive seek method which simply reads frames.
- seekToBeginning() - Method in class org.openimaj.video.xuggle.XuggleVideo
-
This is a convenience method that will seek the stream to be the
beginning.
- segment(FImage) - Method in class org.openimaj.image.segmentation.ConnectedThresholdSegmenter
-
- segment(I) - Method in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
-
- segment(MBFImage) - Method in class org.openimaj.image.segmentation.KMColourSegmenter
-
- segment(I) - Method in interface org.openimaj.image.segmentation.Segmenter
-
- segment(FImage) - Method in class org.openimaj.image.segmentation.ThresholdSegmenter
-
- SegmentationUtilities - Class in org.openimaj.image.segmentation
-
Some utility functions for dealing with segmented output
- Segmenter<I extends Image<?,I>> - Interface in org.openimaj.image.segmentation
-
The Segmenter interface defines an object capable of segmenting an image into
PixelSet
s (or subclasses thereof).
- segmentGraph(int, List<SimpleWeightedEdge<Pixel>>) - Method in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
-
- segmentImage(MBFImage) - Method in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
-
- SegmentingGlobalFeaturesTool - Class in org.openimaj.tools.globalfeature
-
A tool that computes features from the foreground
object in an image.
- SegmentingGlobalFeaturesTool() - Constructor for class org.openimaj.tools.globalfeature.SegmentingGlobalFeaturesTool
-
- SegmentingPairWiseComparisonTool - Class in org.openimaj.tools.globalfeature
-
A tool for computing the similarities/distances between two images based
on a feature from the foreground object in the image.
- SegmentingPairWiseComparisonTool() - Constructor for class org.openimaj.tools.globalfeature.SegmentingPairWiseComparisonTool
-
- select(PrincipalComponentAnalysis) - Method in interface org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis.ComponentSelector
-
Select a subset of principal components, discarding the ones not
selected
- select(PrincipalComponentAnalysis) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis.EnergyThresholdComponentSelector
-
- select(PrincipalComponentAnalysis) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis.NumberComponentSelector
-
- select(PrincipalComponentAnalysis) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis.PercentageEnergyComponentSelector
-
- selectGoodFeatures(FImage) - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
KLTSelectGoodFeatures
Main routine, visible to the outside.
- selectionMode - Variable in class org.openimaj.image.feature.local.detector.ipd.finder.OctaveInterestPointFinder
-
- SelectiveAnalysisOutputMode - Class in org.openimaj.tools.twitter.modes.output
-
An ouput mode which alters the tweets being outputted
- SelectiveAnalysisOutputMode() - Constructor for class org.openimaj.tools.twitter.modes.output.SelectiveAnalysisOutputMode
-
Non selective, output everything
- SelectiveAnalysisTwitterOutputMode - Class in org.openimaj.tools.twitter.modes.output
-
An ouput mode which alters the tweets being outputted
- SelectiveAnalysisTwitterOutputMode() - Constructor for class org.openimaj.tools.twitter.modes.output.SelectiveAnalysisTwitterOutputMode
-
Non selective, output everything
- selectPoints(InterestPointDetector<T>) - Method in class org.openimaj.image.feature.local.interest.IPDSelectionMode.All
-
- selectPoints(InterestPointDetector<T>) - Method in class org.openimaj.image.feature.local.interest.IPDSelectionMode.Count
-
- selectPoints(InterestPointDetector<T>) - Method in interface org.openimaj.image.feature.local.interest.IPDSelectionMode
-
- selectPoints(InterestPointDetector<T>) - Method in class org.openimaj.image.feature.local.interest.IPDSelectionMode.Threshold
-
- selectSubset(PrincipalComponentAnalysis.ComponentSelector) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
- selectSubset(int) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Select a subset of the principal components.
- selectSubsetEnergyThreshold(double) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Select a subset of the principal components such that all remaining
components have a cumulative energy less than the given value.
- selectSubsetPercentageEnergy(double) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
Select a subset of the principal components such that all remaining
components have a certain percentage cumulative energy of the total.
- send_abort(String, Set<Long>) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- send_confirm(String, Set<Long>) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- send_delete_queue(String) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- send_flush_all_queues() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- send_flush_queue(String) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- send_get(String, int, int, int) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- send_get_version() - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- send_peek(String) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- send_put(String, List<ByteBuffer>, int) - Method in class net.lag.kestrel.thrift.Kestrel.Client
-
- sendCommand(int) - Method in class org.openimaj.hardware.turntable.Turntable
-
- sendCommand(int, boolean) - Method in class org.openimaj.hardware.turntable.Turntable
-
- SENDER_KEY - Variable in class org.openimaj.stream.provider.irc.BasicIRCStreamDataset
-
The sender key
- SENTENCE_MODEL_DEFAULT - Static variable in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPSentenceAnnotator
-
- SENTENCE_MODEL_PROP - Static variable in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPSentenceAnnotator
-
Property name pointing to the sentence model
- SentenceAnnotation - Class in org.openimaj.text.nlp.textpipe.annotations
-
- SentenceAnnotation(String, int, int) - Constructor for class org.openimaj.text.nlp.textpipe.annotations.SentenceAnnotation
-
- SentenceAnnotation(String) - Constructor for class org.openimaj.text.nlp.textpipe.annotations.SentenceAnnotation
-
- sentenceType - Variable in class org.openimaj.hardware.gps.NMEAMessage
-
- sentiment() - Method in class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
- Sentiment - Interface in org.openimaj.text.nlp.sentiment.type
-
A generic sentiment.
- SentimentAnnotator<OBJECT,CLONETYPE extends SentimentAnnotator<OBJECT,CLONETYPE>> - Interface in org.openimaj.text.nlp.sentiment.model
-
- SentimentExtractionMode - Class in org.openimaj.tools.twitter.modes.preprocessing
-
- SentimentExtractionMode() - Constructor for class org.openimaj.tools.twitter.modes.preprocessing.SentimentExtractionMode
-
- SentimentExtractor - Class in org.openimaj.text.nlp.sentiment
-
- SentimentExtractor() - Constructor for class org.openimaj.text.nlp.sentiment.SentimentExtractor
-
- separateImplementations - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
Whether to put the implementation files in a separate package
- SequenceFileByteDataSelector - Class in org.openimaj.hadoop.tools.fastkmeans
-
- SequenceFileByteDataSelector(String, String) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.SequenceFileByteDataSelector
-
- SequenceFileByteFeatureSelector - Class in org.openimaj.hadoop.tools.fastkmeans
-
- SequenceFileByteFeatureSelector(String, String, HadoopFastKMeansOptions) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.SequenceFileByteFeatureSelector
-
- SequenceFileByteImageFeatureSelector - Class in org.openimaj.hadoop.tools.fastkmeans
-
- SequenceFileByteImageFeatureSelector(List<String>, String, HadoopFastKMeansOptions) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.SequenceFileByteImageFeatureSelector
-
- SequenceFileIndexer - Class in org.openimaj.hadoop.tools.sequencefile.index
-
- SequenceFileIndexer() - Constructor for class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexer
-
- SequenceFileIndexerOptions - Class in org.openimaj.hadoop.tools.sequencefile.index
-
- SequenceFileIndexerOptions(String[]) - Constructor for class org.openimaj.hadoop.tools.sequencefile.index.SequenceFileIndexerOptions
-
- SequenceFileMerger - Class in org.openimaj.hadoop.tools
-
Map-Reduce based tool that merges sequence files
- SequenceFileMerger() - Constructor for class org.openimaj.hadoop.tools.SequenceFileMerger
-
- sequenceFilePath - Variable in class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- SequenceFileProcessor<T extends Image<?,T>> - Class in org.openimaj.tools.imagecollection.processor
-
- SequenceFileProcessor(String, boolean) - Constructor for class org.openimaj.tools.imagecollection.processor.SequenceFileProcessor
-
- SequenceFileStage<INPUT_KEY,INPUT_VALUE,MAP_OUTPUT_KEY,MAP_OUTPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- SequenceFileStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.SequenceFileStage
-
- SequenceFileTextStage<INPUT_KEY,INPUT_VALUE,MAP_OUTPUT_KEY,MAP_OUTPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- SequenceFileTextStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.SequenceFileTextStage
-
- sequenceFileToCluster(String, int) - Static method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans
-
- SequenceFileTool - Class in org.openimaj.hadoop.tools.sequencefile
-
SequenceFileTool
is a commandline tool for creating, extracting and
inspecting Hadoop
SequenceFile
s.
- SequenceFileTool() - Constructor for class org.openimaj.hadoop.tools.sequencefile.SequenceFileTool
-
- SequenceFileUtility<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.openimaj.hadoop.sequencefile
-
Base class for a utility class that deals with specifically typed sequence
files.
- SequenceFileUtility(String, boolean) - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- SequenceFileUtility(URI, boolean) - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- SequenceFileUtility(String, SequenceFile.CompressionType) - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- SequenceFileUtility(URI, SequenceFile.CompressionType) - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- SequenceFileUtility(String, SequenceFile.CompressionType, Map<String, String>) - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- SequenceFileUtility(URI, SequenceFile.CompressionType, Map<String, String>) - Constructor for class org.openimaj.hadoop.sequencefile.SequenceFileUtility
-
- SequenceFileUtility.FilenameKeyProvider - Class in org.openimaj.hadoop.sequencefile
-
A class that provides Text keys from the name of a file
- SequenceFileUtility.KeyProvider<K> - Interface in org.openimaj.hadoop.sequencefile
-
Interface for objects that can make a key from a path
- SequenceFileUtility.MD5UUIDKeyProvider - Class in org.openimaj.hadoop.sequencefile
-
A class that provides Text keys by calculating a UUID from the MD5 of a
file
- SequenceFileUtility.RelativePathFilenameKeyProvider - Class in org.openimaj.hadoop.sequencefile
-
A class that provides Text keys from the relative path + name of a file
- Sequencer - Class in org.openimaj.time
-
An object that will fire events at specific times thereby sequencing
objects into a stream.
- Sequencer(TimeKeeper<? extends Timecode>) - Constructor for class org.openimaj.time.Sequencer
-
Default constructor that instantiates a sequencer that will check
for actions every 10 milliseconds using the given time keeper.
- Sequencer(TimeKeeper<? extends Timecode>, long) - Constructor for class org.openimaj.time.Sequencer
-
Constructor that instantiates a sequencer that will check for actions
at the given rate using the given time keeper.
- Sequencer.SequencedAction - Interface in org.openimaj.time
-
A class that can be sequenced by the sequencer can implement this
interface.
- Sequencer.SequencerEvent - Class in org.openimaj.time
-
An event in the sequencer, this represents an action occurring at a
specific time.
- SequencerEvent(long, Sequencer.SequencedAction) - Constructor for class org.openimaj.time.Sequencer.SequencerEvent
-
Create a new sequencer event that occurs at a specific time.
- SequencerEvent(Timecode, Sequencer.SequencedAction) - Constructor for class org.openimaj.time.Sequencer.SequencerEvent
-
Create a new sequencer event that occurs at a specific time.
- sequentialMode() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- SequentialStreamAggregator<T> - Class in org.openimaj.util.stream.window
-
- SequentialStreamAggregator(Comparator<T>) - Constructor for class org.openimaj.util.stream.window.SequentialStreamAggregator
-
- SequentialThin - Class in org.openimaj.image.processing.morphology
-
Morphological sequential thinning of connected components and (assumed binary) FImages.
- SequentialThin(StructuringElement...) - Constructor for class org.openimaj.image.processing.morphology.SequentialThin
-
Construct the sequential thin operator with the given structuring elements
- SequentialThin(int, StructuringElement...) - Constructor for class org.openimaj.image.processing.morphology.SequentialThin
-
Construct the sequential thin operator with the given structuring elements
and number of iterations
- SerialDataListener - Interface in org.openimaj.hardware.serial
-
An event listener for objects that wish to be informed
of data arriving on a serial port.
- SerialDataParser - Interface in org.openimaj.hardware.serial
-
An interface for objects that can parse serial data.
- SerialDevice - Class in org.openimaj.hardware.serial
-
Serial device driver.
- SerialDevice(String) - Constructor for class org.openimaj.hardware.serial.SerialDevice
-
Constructor that takes the port name to connect to and the rate at which
to connect.
- SerialDevice(String, int, int, int, int) - Constructor for class org.openimaj.hardware.serial.SerialDevice
-
Complete constructor that takes all the information required to connect
to a port.
- serialEvent(SerialPortEvent) - Method in class org.openimaj.hardware.serial.SerialReader
- serialiseExtractor() - Method in class org.openimaj.tools.localfeature.options.BaseExtractorOptions
-
Serialise the feature extractor to a file so it can be reused by other
tools or code.
- serialize(WriteableBinary) - Static method in class org.openimaj.io.IOUtils
-
Convenience function for serializing a writeable object as a byte array.
- serialize(Object, String) - Method in class org.openimaj.rdf.serialize.RDFSerializer
-
Serialize the given object as RDF.
- serializeAux(Object, String) - Method in class org.openimaj.rdf.serialize.RDFSerializer
-
Serialize the given object as RDF.
- serializeAux(Object, String, boolean) - Method in class org.openimaj.rdf.serialize.RDFSerializer
-
Serialize the given object as RDF.
- SerialReader - Class in org.openimaj.hardware.serial
-
An event listener that receives data from the serial port, buffers the data,
parses the data then calls the listeners for every sentence parsed.
- SerialReader(InputStream, SerialDataParser) - Constructor for class org.openimaj.hardware.serial.SerialReader
-
Default constructor
- series() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The series of books the book was published in (e.g.
- series(String) - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- series(String) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- seriesByName(String) - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- seriesMap() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- seriesMapInerp(long[]) - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- seriesMapInerp(long) - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
Interpolated finance results from the beggining time till the end in perscribed delta
- service - Variable in class org.openimaj.twitter.USMFStatus
-
Service Name
- set(int, float) - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Set the sample value at the given index.
- set(int, float) - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Set the sample value at the given index.
- set(int, float) - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Set the sample value at the given index.
- set(int, float) - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Set the sample value at the given index.
- set(int, T) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- set(byte, int...) - Method in class org.openimaj.feature.MultidimensionalByteFV
-
Set the the element at the given n-dimensional coordinate
- set(double, int...) - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
Set the the element at the given n-dimensional coordinate
- set(float, int...) - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
Set the the element at the given n-dimensional coordinate
- set(int, int...) - Method in class org.openimaj.feature.MultidimensionalIntFV
-
Set the the element at the given n-dimensional coordinate
- set(long, int...) - Method in class org.openimaj.feature.MultidimensionalLongFV
-
Set the the element at the given n-dimensional coordinate
- set(short, int...) - Method in class org.openimaj.feature.MultidimensionalShortFV
-
Set the the element at the given n-dimensional coordinate
- set(String, String) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Performs a put kestrel call on the string value with a expiary of 0 (i.e.
- set(String, int, String) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Performs a put kestrel call with the provided expiration.
- set(String, byte[]) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Performs a put with the byte array value with no expiration
- set(String, int, byte[]) - Method in class org.openimaj.kestrel.SimpleKestrelClient
-
Performs a put with the byte array valye with an expiration
- set(long[], Map<String, ALLINPUT>) - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- set(long[], Map<String, ALLINPUT>) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- set(long[], DATA[]) - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- set(long[], double[]) - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- set(long[], DATA) - Method in class org.openimaj.ml.timeseries.TimeSeries
-
Set the data associated with each time.
- set(int, byte) - Method in class org.openimaj.util.array.ByteArrayView
-
Set the ith element of this array view to the value v.
- set(int, double) - Method in class org.openimaj.util.array.DoubleArrayView
-
Set the ith element of this array view to the value v.
- set(int, float) - Method in class org.openimaj.util.array.FloatArrayView
-
Set the ith element of this array view to the value v.
- set(int, int) - Method in class org.openimaj.util.array.IntArrayView
-
Set the ith element of this array view to the value v.
- set(int, long) - Method in class org.openimaj.util.array.LongArrayView
-
Set the ith element of this array view to the value v.
- set(int, short) - Method in class org.openimaj.util.array.ShortArrayView
-
Set the ith element of this array view to the value v.
- set(int, byte) - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- set(int, double) - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- set(int, float) - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- set(int, int) - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- set(int, long) - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- set(int, short) - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- set(int, byte) - Method in class org.openimaj.util.array.SparseByteArray
-
Set the value at the given index.
- set(int, double) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Set the value at the given index.
- set(int, float) - Method in class org.openimaj.util.array.SparseFloatArray
-
Set the value at the given index.
- set(int, byte) - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- set(int, double) - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- set(int, float) - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- set(int, int) - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- set(int, long) - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- set(int, short) - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- set(int, int) - Method in class org.openimaj.util.array.SparseIntArray
-
Set the value at the given index.
- set(int, long) - Method in class org.openimaj.util.array.SparseLongArray
-
Set the value at the given index.
- set(int, short) - Method in class org.openimaj.util.array.SparseShortArray
-
Set the value at the given index.
- set(int, T) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- set(KEY, double) - Method in class org.openimaj.workinprogress.optimisation.params.KeyedParameters
-
- set_age(long) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_age_isSet(boolean) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_auto_abort_msec(int) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- set_auto_abort_msec_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- set_bytes(long) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_bytes_isSet(boolean) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_data(byte[]) - Method in class net.lag.kestrel.thrift.Item
-
- set_data(ByteBuffer) - Method in class net.lag.kestrel.thrift.Item
-
- set_data_isSet(boolean) - Method in class net.lag.kestrel.thrift.Item
-
- set_expiration_msec(int) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- set_expiration_msec_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- set_head_item(byte[]) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_head_item(ByteBuffer) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_head_item_isSet(boolean) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_id(long) - Method in class net.lag.kestrel.thrift.Item
-
- set_id_isSet(boolean) - Method in class net.lag.kestrel.thrift.Item
-
- set_ids(Set<Long>) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- set_ids(Set<Long>) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- set_ids_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- set_ids_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- set_items(List<ByteBuffer>) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- set_items(long) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_items_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- set_items_isSet(boolean) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_journal_bytes(long) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_journal_bytes_isSet(boolean) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_max_items(int) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- set_max_items_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- set_min_size(int) - Method in class com.jsaragih.FDet
-
- set_open_transactions(int) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_open_transactions_isSet(boolean) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_queue_name(String) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- set_queue_name(String) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- set_queue_name(String) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- set_queue_name(String) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- set_queue_name(String) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- set_queue_name(String) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- set_queue_name(String) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- set_queue_name_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- set_queue_name_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- set_queue_name_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- set_queue_name_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- set_queue_name_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- set_queue_name_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- set_queue_name_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- set_success(int) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- set_success(int) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- set_success(List<Item>) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- set_success(String) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- set_success(QueueInfo) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- set_success(int) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- set_success_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- set_success_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- set_success_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- set_success_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- set_success_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- set_success_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- set_timeout_msec(int) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- set_timeout_msec_isSet(boolean) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- set_waiters(int) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- set_waiters_isSet(boolean) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- setAbout(List<String>) - Method in interface orgrdfs.sioc.ns.Item
-
- setAbout(List<String>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setAbout(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setAccount_of(List<Agent>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setAccount_of(List<Agent>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setAccuracy(int) - Method in class org.openimaj.image.processing.transform.SkewCorrector
-
Set the accuracy of the skew corrector.
- setAckQueue(String) - Method in class backtype.storm.spout.UnreliableKestrelThriftSpout
-
The ackQueue holds statistics about acknowledgement time useful for
measuring topology throughput
- setAcrossScales(boolean) - Method in class org.openimaj.image.feature.local.engine.ipd.AbstractIPDSIFTEngine
-
- setAddressed_to(List<String>) - Method in interface orgrdfs.sioc.ns.Item
-
- setAddressed_to(List<String>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setAddressed_to(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setAdministrator_of(List<Site>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setAdministrator_of(List<Site>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setAffineConsistencyCheck(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Enable or disable the affine consistency check
- setAllowPanning(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set whether to allow panning.
- setAllowResize(boolean) - Method in class org.openimaj.vis.VisualisationImpl
-
Set whether this visualisation can be resized.
- setAllowUnvalidatedRelations(boolean) - Method in class org.openimaj.rdf.owl2java.Something
-
Set whether to allow unvalidated relations in the subgraph.
- setAllowUnvalidatedTriples(boolean) - Method in class org.openimaj.rdf.owl2java.Something
-
Set whether to allow unvalidated triples in the subgraph.
- setAllowZoom(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set whether to allow zooming.
- setAlpha(double) - Method in class org.openimaj.pgm.vb.lda.mle.LDAModel
-
- setAlwaysOnTop(boolean) - Method in class org.openimaj.vis.general.JOGLWindow
-
- setAlwaysRun(boolean) - Method in class org.openimaj.audio.AudioMixer
-
Whether to run the mixer when there are no audio streams to mix.
- setAnchorText(String) - Method in class org.openimaj.web.readability.Anchor
-
Set the anchor text
- setAngle(float) - Method in class org.openimaj.image.typography.FontStyle
-
- setAngleJitter(double) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the amount of angle jitter to use.
- setAnnotator(AudioAnnotator.AudioAnnotatorType) - Method in class org.openimaj.audio.AudioAnnotator
-
Set the annotator type to use.
- setAnswerElement(int, int, double) - Method in class org.openimaj.math.matrix.ThreadedMatrixMulti
-
- setArgs(String) - Method in class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
Set the argument string to pass to the program
- setArgs(String[]) - Method in class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
Set the arguments to pass to the program
- setAspect(BingImageDataset.ImageDataSourceQuery.Aspect) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setAttachment(List<String>) - Method in interface orgrdfs.sioc.ns.Item
-
- setAttachment(List<String>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setAttachment(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setAttack(long) - Method in class org.openimaj.audio.generation.Synthesizer
-
Set the ADSR attack time in milliseconds
- setAutoFit(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Sets whether to automatically size the image to fit within the bounds of the
image component which is being sized externally.
- setAutoFit(boolean) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Whether to auto fit the x-axis
- setAutoPack(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Sets whether the component is to attempt to pack a frame into which it is
added.
- setAutoPositionXAxis(boolean) - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
- setAutoPredicate(boolean) - Method in class org.openimaj.rdf.serialize.RDFSerializer
-
Set whether to attempt to output all fields from the objects, not just those
annotated with
Predicate
.
- setAutoResize(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Sets whether to automatically resize the component to fit image (at it's
given scale factor) within it.
- setAutoScale(boolean) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Whether to auto fit the y-axis
- setAutoScale(boolean) - Method in class org.openimaj.vis.general.AxisConfig
-
Set whether the axis should attempt to auto scale to fit the view
- setAutoScale(boolean) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set whether the bars should auto scale to fit all values within the vis.
- setAutoScale(boolean) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setAutoScale(boolean) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set whether the bars should auto scale to fit all values within the vis.
- setAutoScale(boolean) - Method in class org.openimaj.vis.general.HeightMap3D
-
Set whether to fit the maximum possible value into the height map cube.
- setAutoScale(boolean) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- setAutoScaleAxes(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setAutoScaleAxes(boolean) - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
- setAutoSpaceLabels(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setAutoSpaceLabels(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setAutoSpaceTicks(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setAutoSpaceTicks(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setAvatar(List<String>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setAvatar(List<String>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setAvoidOverlaps(boolean) - Method in class org.openimaj.vis.general.LabelledPointVisualisation
-
- setAxesRanges(double, double, double, double, double, double) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- setAxis(Line2d) - Method in class org.openimaj.image.processing.effects.DioramaEffect
-
Set the current tilt axis
- setAxisAlwaysVisible(boolean) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set whether the axis should always be visible.
- setAxisAlwaysVisible(boolean) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set whether the axis should always be visible.
- setAxisColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setAxisColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setAxisLength(double) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- setAxisLocation(double) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set the axis location.
- setAxisLocation(double) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set the axis location.
- setAxisPaddingBottom(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setAxisPaddingLeft(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setAxisPaddingRight(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setAxisPaddingTop(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setAxisThickness(double) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- setAxisWidth(int) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set the axis width
- setAxisWidth(int) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set the axis width
- setBackground(I) - Method in class org.openimaj.image.processing.background.BasicBackgroundSubtract
-
Set the background image
- setBackgroundColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setBackgroundColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setBandSize(int) - Method in class org.openimaj.vis.timeline.Timeline.TimelineObjectPlotter
-
Set the size of a band.
- setBarColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setBarColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setBarColour(Float[]) - Method in class org.openimaj.vis.video.VideoBarVisualisation
-
- setBarWidth(double) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setBeginPoint(Point2d) - Method in class org.openimaj.math.geometry.line.Line2d
-
Set the start point
- setBias(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.LossFunction
-
- setBias(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.MatLossFunction
-
- setBias(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.LossFunction
-
- setBias(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.MatLossFunction
-
- setBias(double) - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
- setBigEndian(boolean) - Method in class org.openimaj.audio.AudioFormat
-
Set whether the data is big-endian or not.
- setBinHeight(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
(Optional operation) Set the height of a single bin of the sampling
window (in pixels).
- setBinHeight(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- setBinHeight(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- setBinHeight(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
Not supported.
- setBinWidth(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.AbstractDenseSIFT
-
(Optional operation) Set the width of a single bin of the sampling window
(in pixels).
- setBinWidth(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.ColourDenseSIFT
-
- setBinWidth(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
- setBinWidth(int) - Method in class org.openimaj.image.feature.dense.gradient.dsift.PyramidDenseSIFT
-
Not supported.
- setBlockSize(int) - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
Set the number of samples processed in a batch by a thread.
- setBorderPixels(int) - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Set the number of pixels used for a border that processors shouldn't
touch.
- setBoundingBoxColour(Float[]) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- setBoundingBoxPaddingPc(float) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Set the expansion value for the subimage extraction.
- setBounds(float, float, float, float) - Method in class org.openimaj.image.pixel.sampling.RectangleSampler
-
Adjust the bounds of the sampler
- setBounds(Rectangle) - Method in class org.openimaj.image.pixel.sampling.RectangleSampler
-
Adjust the bounds of the sampler
- setBounds(Image<?, ?>) - Method in class org.openimaj.image.pixel.sampling.RectangleSampler
-
Adjust the bounds of the sampler
- setBounds(Rectangle) - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
Set the bounds of this face.
- setBounds(float, float, float, float) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
Set the position and size of this rectangle
- setBounds(Rectangle) - Method in class org.openimaj.web.layout.ElementInfo
-
- setBPM(float) - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Set the tempo of the timekeeper
- setBruteForce(boolean) - Method in class org.openimaj.image.processing.convolution.FConvolution
-
Set brute-force convolution; disables kernel separation and other
optimisations.
- setBufferSize(int) - Method in class org.openimaj.audio.AudioMixer
-
Set the size of the buffer that the mixer will mix.
- setButtons(String[]) - Method in class org.openimaj.video.VideoPlayer
-
Set the buttons to show on this video player.
- setButtons(String[]) - Method in class org.openimaj.video.VideoPlayer.VideoPlayerComponent.ButtonsPanel
-
Set the list of buttons available on the player.
- setCache(boolean) - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
Set whether detections should be cached
- setCalculateFPS(boolean) - Method in class org.openimaj.video.VideoDisplay
-
Set whether the frames per second display rate will be calculated at
every frame.
- setCameraPosition(CameraPositionProvider) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setCascade(String) - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
Set the cascade classifier for this detector.
- setCentreBarsOnValues(boolean) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setCentreFrequency(double) - Method in class org.openimaj.audio.filters.TriangularFilter
-
Set the new centre frequency
- setClearBeforeDraw(boolean) - Method in class org.openimaj.vis.VisualisationImpl
-
Sets whether to clear the image before drawing.
- setClusterInit(ByteKMeans) - Method in class org.openimaj.tools.clusterquantiser.fastkmeans.ByteKMeansInitialisers.Options
-
Initialise the clusterer
- setClusterType(ClusterType) - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
Set the cluster type
- setClusterTypeOp(ClusterType.ClusterTypeOp) - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
Set the clusterTypeOp
- setCoherenceFactor(double) - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
Set the edge coherence factor.
- setCollection(Collection<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.estimation.sampling.BucketingSampler2d
-
- setCollection(Collection<? extends T>) - Method in interface org.openimaj.util.CollectionSampler
-
Set the items to sample from.
- setCollection(Collection<? extends T>) - Method in class org.openimaj.util.UniformSampler
-
- setColor(BingImageDataset.ImageDataSourceQuery.Color) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setColour(T) - Method in class org.openimaj.image.processor.connectedcomponent.render.AbstractRenderer
-
Set the colour that the components will be drawn in.
- setColour(ConfigurableRenderOptions, Float) - Method in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererMono
-
Set the colour of a specific option to override the default.
- setColour(ConfigurableRenderOptions, Float[]) - Method in class org.openimaj.image.processor.connectedcomponent.render.ConfigurableRendererRGB
-
Set the colour of a specific option to override the default.
- setColour(T) - Method in class org.openimaj.image.typography.FontStyle
-
- setColour(Float[]) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Set the colour to draw the signal
- setColour(Q) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setColourMap(ColourMap) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setColourMap(ColourMap) - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
- setColourMap(ColourMap) - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- setColourMap(ColourMap) - Method in class org.openimaj.vis.general.HeightMap3D
-
- setColourMapMax(double) - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
- setColourMapMax(double) - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- setColourMapMin(double) - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
- setColourMapMin(double) - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- setColourMapRange(double, double) - Method in class org.openimaj.vis.general.DotPlotVisualisation
-
- setColourMapRange(double, double) - Method in class org.openimaj.vis.general.DotPlotVisualisation3D
-
- setColourspace(ColourSpace) - Method in class org.openimaj.vis.animators.ColourSpaceAnimator
-
- setColumn(Matrix, int, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Set the values of the elements in a single column to a constant value.
- setCombinerClass(Job, Class<? extends Reducer<MAP_OUTPUT_KEY, MAP_OUTPUT_VALUE, MAP_OUTPUT_KEY, MAP_OUTPUT_VALUE>>) - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
For stages which require more fine grained control of how a job's
combiner is set.
- setComparisonMeasure(DoubleFVComparison) - Method in class org.openimaj.image.model.patch.HistogramPatchModel
-
Set the comparison measure used.
- setConf(Configuration) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairPartitioner
-
- setConf(Configuration) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortPartitioner
-
- setConfidence(int) - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
Set the confidence of the detection.
- setConfig(AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer
-
- setConfig(AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- setConfiguration(KMeansConfiguration<ByteNearestNeighbours, byte[]>) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Set the configuration
- setConfiguration(KMeansConfiguration<DoubleNearestNeighbours, double[]>) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Set the configuration
- setConfiguration(KMeansConfiguration<ObjectNearestNeighbours<T>, T>) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Set the configuration
- setConfiguration(KMeansConfiguration<FloatNearestNeighbours, float[]>) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Set the configuration
- setConfiguration(KMeansConfiguration<IntNearestNeighbours, int[]>) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Set the configuration
- setConfiguration(KMeansConfiguration<LongNearestNeighbours, long[]>) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Set the configuration
- setConfiguration(KMeansConfiguration<ShortNearestNeighbours, short[]>) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Set the configuration
- setConnectionColour(Float[]) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- setContainer_of(List<Item>) - Method in interface orgrdfs.sioc.ns.Container
-
- setContainer_of(List<Item>) - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- setContainer_of(List<Item>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setContent(boolean) - Method in class org.openimaj.web.layout.ElementInfo
-
- setContent(List<String>) - Method in interface orgrdfs.sioc.ns.Item
-
- setContent(List<String>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setContent(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setContent_encoded(List<String>) - Method in interface orgrdfs.sioc.ns.Post
-
- setContent_encoded(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setContext(INDEPENDANT, DEPENDANT) - Method in class org.openimaj.ml.linear.learner.init.AbstractContextAwareInitStrategy
-
- setContext(INDEPENDANT, DEPENDANT) - Method in interface org.openimaj.ml.linear.learner.init.ContextAwareInitStrategy
-
The current INDEPENDANT and DEPENDANT values at the time of initialization
- setCount(int) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setCovariances(MultivariateGaussian[], Matrix) - Method in enum org.openimaj.ml.gmm.GaussianMixtureModelEM.CovarianceType
-
- setCreated_at(List<String>) - Method in interface orgrdfs.sioc.ns.Post
-
- setCreated_at(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setCreator_of(List<String>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setCreator_of(List<String>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setCurrentFrameIndex(long) - Method in class org.openimaj.video.ArrayBackedVideo
-
- setCurrentFrameIndex(long) - Method in class org.openimaj.video.capture.VideoCapture
-
- setCurrentFrameIndex(long) - Method in class org.openimaj.video.Video
-
Set the current frame index (i.e.
- setCurrentFrameIndex(long) - Method in class org.openimaj.video.xuggle.XuggleVideo
-
Set the current frame index (i.e.
- setCurrentPositionLineColour(Float[]) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Set the colour of the line which is showning the current draw position.
- setData(int, int, double[][]) - Method in class org.openimaj.math.matrix.ReadWriteableMatrix
-
- setData(float[]) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Set the data to be visualised.
- setData(SampleChunk) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Add the given sample chunk into the spectrogram.
- setData(double[]) - Method in class org.openimaj.vis.audio.AudioWaveform
-
If the samples are represented as a set of doubles, you can set them
here.
- setData(double[], AudioFormat) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Samples represented as a set of doubles.
- setData(float[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set the data from a float array.
- setData(long[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set the data from a long array.
- setData(double[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set the data to a double array
- setData(double[][]) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
Set the data to display in the visualisation.
- setData(float[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set the data from a float array.
- setData(long[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set the data from a long array.
- setData(double[]) - Method in class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Data is copied into the visualisation, so the arrays passed in are untouched.
- setData(double[][]) - Method in class org.openimaj.vis.general.HeatMap
-
- setData(List<XYPlotVisualisation.LocatedObject<O>>) - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
Set the data to be visualised.
- setData(T) - Method in interface org.openimaj.vis.Visualisation
-
Set the data to display in the visualisation.
- setData(D) - Method in class org.openimaj.vis.Visualisation3D
-
Set the data to display in the visualisation.
- setData(T) - Method in class org.openimaj.vis.VisualisationImpl
-
Set the data to be visualised.
- setDataPixelTransformer(DataUnitsTransformer<Float[], double[], int[]>) - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation
-
The timeline object will need to know how to convert between
time and pixels, and the
DataUnitsTransformer
given here
should be able to do that.
- setDataPixelTransformer(DataUnitsTransformer<Float[], double[], int[]>) - Method in interface org.openimaj.vis.timeline.TimelineObject
-
The timeline object will need to know how to convert between
time and pixels, and the
DataUnitsTransformer
given here
should be able to do that.
- setDataPixelTransformer(DataUnitsTransformer<Float[], double[], int[]>) - Method in class org.openimaj.vis.timeline.TimelineObjectAdapter
-
The timeline object will need to know how to convert between
time and pixels, and the
DataUnitsTransformer
given here
should be able to do that.
- setDecay(long) - Method in class org.openimaj.audio.generation.Synthesizer
-
Set the ADSR decay time in milliseconds
- setDecay(boolean) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Set whether decay is to be used
- setDecayAmount(float) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Set the amount of decay to use
- setDefaultCountryLandColour(Float[]) - Method in class org.openimaj.vis.world.WorldMap
-
- setDefaultCountryOutlineColour(Float[]) - Method in class org.openimaj.vis.world.WorldMap
-
- setDelta(int) - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- setDelta(int) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- setDescription(List<String>) - Method in interface orgrdfs.sioc.ns.Post
-
- setDescription(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setDetectionScale(float) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- setDetectionScale(float) - Method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
- setDetectionScale(float) - Method in interface org.openimaj.image.feature.local.interest.MultiscaleInterestPointDetector
-
Set the detection scale for the detector
- setDetIntScaleFactor(float) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- setDirection(boolean) - Method in class org.openimaj.image.processing.edges.StrokeWidthTransform
-
Set the direction of the SWT; true for dark on light, false for light
- setDiversityAxisName(String) - Method in class org.openimaj.vis.general.DiversityAxis
-
Set the name of the diversity axis.
- setDoubleInitialImage(boolean) - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Set whether starting image of the pyramid be stretched to twice its size?
- setDoubleSizePyramid(boolean) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorMultiscale
-
Set whether to double the size of the pyramid
- setDrawCurrentPositionLine(boolean) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Set whether to draw the position at which the current spectra will be drawn
- setDrawFreqBands(boolean) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Set whether to overlay the frequency bands onto the image.
- setDrawMajorGrid(boolean) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- setDrawMajorGrid(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setDrawMajorTickGrid(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawMajorTickLabels(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setDrawMajorTicks(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setDrawMinorGrid(boolean) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- setDrawMinorGrid(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setDrawMinorTickGrid(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawMinorTickLabels(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setDrawMinorTicks(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setDrawValues(boolean) - Method in class org.openimaj.vis.general.BarVisualisation
-
Sets whether values are drawn to the image.
- setDrawValues(boolean) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Sets whether values are drawn to the image.
- setDrawXAxis(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawXAxisName(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawXTickLabels(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawXTicks(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawYAxis(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawYAxisName(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawYTickLabels(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDrawYTicks(boolean) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setDriver(String) - Method in class org.openimaj.picslurper.DatabaseStatusFeeder
-
Set the database driver to use.
- setEdgeThreshold(float) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
Set the edge threshold.
- setEigenvalueRatio(float) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the threshold on the ratio of the Eigenvalues of the Hessian matrix
(Lowe IJCV, p.12)
- setElement(QWebElement) - Method in class org.openimaj.web.layout.ElementInfo
-
- setEmail(List<String>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setEmail(List<String>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setEmail_sha1(List<String>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setEmail_sha1(List<String>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setEmbeds_knowledge(List<Graph>) - Method in interface orgrdfs.sioc.ns.Item
-
- setEmbeds_knowledge(List<Graph>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setEmbeds_knowledge(List<Graph>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setEnableLights(boolean) - Method in class org.openimaj.vis.Visualisation3D
-
- setEndAction(VideoDisplay.EndAction) - Method in class org.openimaj.video.VideoDisplay
-
Set the action to occur when the video reaches its end.
- setEndPoint(Point2d) - Method in class org.openimaj.math.geometry.line.Line2d
-
Set the end point
- setEndPoint() - Method in class org.openimaj.math.geometry.line.Line2d
-
Get the end point
- setEndTimecode(VideoTimecode) - Method in class org.openimaj.video.processing.shotdetector.FadeShotBoundary
-
Set the timecode at the end of the fade.
- setEntrySelection(ImageCollectionEntrySelection<ImageType>) - Method in interface org.openimaj.tools.imagecollection.collection.ImageCollection
-
Control how an image collection is to accept or ignore a given entry of the collection
- setEntrySelection(ImageCollectionEntrySelection<MBFImage>) - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection
-
- setEntrySelection(ImageCollectionEntrySelection<MBFImage>) - Method in class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection
-
- setEps(double) - Method in class org.openimaj.ml.clustering.dbscan.SparseMatrixDBSCAN
-
- setError(double) - Method in class org.openimaj.ml.linear.data.LinearPerceptronDataGenerator
-
- setExpireTime(int) - Method in class org.openimaj.storm.tools.twitter.bolts.TweetPreprocessingBolt
-
- setExtraScaleSteps(int) - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Set the number of extra scale steps taken beyond scales.
- setF(Matrix) - Method in class org.openimaj.math.geometry.transforms.FundamentalModel
-
Set the Fundamental matrix
- setFacePatch(FImage) - Method in class org.openimaj.image.processing.face.detection.DetectedFace
-
Reset the face patch image
- setFarm(int) - Method in class org.openimaj.web.flickr.FlickrImage
-
- setFast(int, byte) - Method in class org.openimaj.util.array.ByteArrayView
-
Set the ith element of this array view to the value v.
- setFast(int, double) - Method in class org.openimaj.util.array.DoubleArrayView
-
Set the ith element of this array view to the value v.
- setFast(int, float) - Method in class org.openimaj.util.array.FloatArrayView
-
Set the ith element of this array view to the value v.
- setFast(int, int) - Method in class org.openimaj.util.array.IntArrayView
-
Set the ith element of this array view to the value v.
- setFast(int, long) - Method in class org.openimaj.util.array.LongArrayView
-
Set the ith element of this array view to the value v.
- setFast(int, short) - Method in class org.openimaj.util.array.ShortArrayView
-
Set the ith element of this array view to the value v.
- setFastDifferentiationScale(boolean) - Method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
- setFeatureExtractor(TrendDetectorFeatureExtractor) - Method in class org.openimaj.picslurper.client.TrendDetector
-
- setFeatureList(FeatureList) - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
Set the tracking context
- setFieldValue(Item._Fields, Object) - Method in class net.lag.kestrel.thrift.Item
-
- setFieldValue(Kestrel.abort_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- setFieldValue(Kestrel.abort_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- setFieldValue(Kestrel.confirm_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- setFieldValue(Kestrel.confirm_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- setFieldValue(Kestrel.delete_queue_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- setFieldValue(Kestrel.delete_queue_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- setFieldValue(Kestrel.flush_all_queues_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- setFieldValue(Kestrel.flush_all_queues_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- setFieldValue(Kestrel.flush_queue_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- setFieldValue(Kestrel.flush_queue_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- setFieldValue(Kestrel.get_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- setFieldValue(Kestrel.get_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- setFieldValue(Kestrel.get_version_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- setFieldValue(Kestrel.get_version_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- setFieldValue(Kestrel.peek_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- setFieldValue(Kestrel.peek_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- setFieldValue(Kestrel.put_args._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- setFieldValue(Kestrel.put_result._Fields, Object) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- setFieldValue(QueueInfo._Fields, Object) - Method in class net.lag.kestrel.thrift.QueueInfo
-
- setFileType(FileType) - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
Set the file type
- setFilterAmplitude(double) - Method in class org.openimaj.audio.filters.MelFilterBank
-
Set the filter amplitude for all the generated filters.
- setFilterAmplitude(double) - Method in class org.openimaj.audio.filters.TriangularFilter
-
Set the filter amplitude
- setFilterFunction(ResizeFilterFunction) - Method in class org.openimaj.image.processing.resize.ResizeProcessor
-
Set the filter function used by the filter
- setFinderMode(FinderMode<T>) - Method in class org.openimaj.image.feature.local.engine.ipd.AbstractIPDSIFTEngine
-
set the underlying finder
- setFindKeyframes(boolean) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Set whether to store keyframes of boundaries when they
have been found.
- setFirst(byte) - Method in class org.openimaj.util.pair.ByteBytePair
-
Set the value of the first element
- setFirst(byte) - Method in class org.openimaj.util.pair.ByteDoublePair
-
Set the value of the first element
- setFirst(byte) - Method in class org.openimaj.util.pair.ByteFloatPair
-
Set the value of the first element
- setFirst(byte) - Method in class org.openimaj.util.pair.ByteIntPair
-
Set the value of the first element
- setFirst(byte) - Method in class org.openimaj.util.pair.ByteLongPair
-
Set the value of the first element
- setFirst(byte) - Method in class org.openimaj.util.pair.ByteObjectPair
-
Set the value of the first element
- setFirst(byte) - Method in class org.openimaj.util.pair.ByteShortPair
-
Set the value of the first element
- setFirst(double) - Method in class org.openimaj.util.pair.DoubleBytePair
-
Set the value of the first element
- setFirst(double) - Method in class org.openimaj.util.pair.DoubleDoublePair
-
Set the value of the first element
- setFirst(double) - Method in class org.openimaj.util.pair.DoubleFloatPair
-
Set the value of the first element
- setFirst(double) - Method in class org.openimaj.util.pair.DoubleIntPair
-
Set the value of the first element
- setFirst(double) - Method in class org.openimaj.util.pair.DoubleLongPair
-
Set the value of the first element
- setFirst(double) - Method in class org.openimaj.util.pair.DoubleObjectPair
-
Set the value of the first element
- setFirst(double) - Method in class org.openimaj.util.pair.DoubleShortPair
-
Set the value of the first element
- setFirst(float) - Method in class org.openimaj.util.pair.FloatBytePair
-
Set the value of the first element
- setFirst(float) - Method in class org.openimaj.util.pair.FloatDoublePair
-
Set the value of the first element
- setFirst(float) - Method in class org.openimaj.util.pair.FloatFloatPair
-
Set the value of the first element
- setFirst(float) - Method in class org.openimaj.util.pair.FloatIntPair
-
Set the value of the first element
- setFirst(float) - Method in class org.openimaj.util.pair.FloatLongPair
-
Set the value of the first element
- setFirst(float) - Method in class org.openimaj.util.pair.FloatObjectPair
-
Set the value of the first element
- setFirst(float) - Method in class org.openimaj.util.pair.FloatShortPair
-
Set the value of the first element
- setFirst(int) - Method in class org.openimaj.util.pair.IntBytePair
-
Set the value of the first element
- setFirst(int) - Method in class org.openimaj.util.pair.IntDoublePair
-
Set the value of the first element
- setFirst(int) - Method in class org.openimaj.util.pair.IntFloatPair
-
Set the value of the first element
- setFirst(int) - Method in class org.openimaj.util.pair.IntIntPair
-
Set the value of the first element
- setFirst(int) - Method in class org.openimaj.util.pair.IntLongPair
-
Set the value of the first element
- setFirst(int) - Method in class org.openimaj.util.pair.IntObjectPair
-
Set the value of the first element
- setFirst(int) - Method in class org.openimaj.util.pair.IntShortPair
-
Set the value of the first element
- setFirst(long) - Method in class org.openimaj.util.pair.LongBytePair
-
Set the value of the first element
- setFirst(long) - Method in class org.openimaj.util.pair.LongDoublePair
-
Set the value of the first element
- setFirst(long) - Method in class org.openimaj.util.pair.LongFloatPair
-
Set the value of the first element
- setFirst(long) - Method in class org.openimaj.util.pair.LongIntPair
-
Set the value of the first element
- setFirst(long) - Method in class org.openimaj.util.pair.LongLongPair
-
Set the value of the first element
- setFirst(long) - Method in class org.openimaj.util.pair.LongObjectPair
-
Set the value of the first element
- setFirst(long) - Method in class org.openimaj.util.pair.LongShortPair
-
Set the value of the first element
- setFirst(Q) - Method in class org.openimaj.util.pair.ObjectBytePair
-
Set the value of the first element
- setFirst(Q) - Method in class org.openimaj.util.pair.ObjectDoublePair
-
Set the value of the first element
- setFirst(Q) - Method in class org.openimaj.util.pair.ObjectFloatPair
-
Set the value of the first element
- setFirst(Q) - Method in class org.openimaj.util.pair.ObjectIntPair
-
Set the value of the first element
- setFirst(Q) - Method in class org.openimaj.util.pair.ObjectLongPair
-
Set the value of the first element
- setFirst(Q) - Method in class org.openimaj.util.pair.ObjectShortPair
-
Set the value of the first element
- setFirst(short) - Method in class org.openimaj.util.pair.ShortBytePair
-
Set the value of the first element
- setFirst(short) - Method in class org.openimaj.util.pair.ShortDoublePair
-
Set the value of the first element
- setFirst(short) - Method in class org.openimaj.util.pair.ShortFloatPair
-
Set the value of the first element
- setFirst(short) - Method in class org.openimaj.util.pair.ShortIntPair
-
Set the value of the first element
- setFirst(short) - Method in class org.openimaj.util.pair.ShortLongPair
-
Set the value of the first element
- setFirst(short) - Method in class org.openimaj.util.pair.ShortObjectPair
-
Set the value of the first element
- setFirst(short) - Method in class org.openimaj.util.pair.ShortShortPair
-
Set the value of the first element
- setFirst_name(List<String>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setFirst_name(List<String>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setFirstObject(A) - Method in class org.openimaj.util.pair.IndependentPair
-
Set first object in pair to obj
- setFittingModel(RobustModelFitting<Point2d, Point2d, ?>) - Method in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- setFittingModel(RobustModelFitting<Point2d, Point2d, ?>) - Method in class org.openimaj.feature.local.matcher.consistent.LocalConsistentKeypointMatcher
-
- setFittingModel(RobustModelFitting<Point2d, Point2d, ?>) - Method in interface org.openimaj.feature.local.matcher.consistent.ModelFittingLocalFeatureMatcher
-
Set the object which robustly attempts to fit matches to the model
- setFixAxis(boolean) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set whether the axis should be fixed.
- setFixAxis(boolean) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set whether the axis should be fixed.
- setFn(Object) - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- setFocalLengthX(double) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Set the focal length in the x direction (in pixels)
- setFocalLengthY(double) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Set the focal length in the y direction (in pixels)
- setFold(int, BillMatlabFileDataGenerator.Mode) - Method in class org.openimaj.ml.linear.data.BillMatlabFileDataGenerator
-
- setFollows(List<UserAccount>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setFollows(List<UserAccount>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setFont(Font<?>) - Method in class org.openimaj.image.typography.FontStyle
-
- setFontPointSize(int) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the point size of the font to draw
- setFontSize(int) - Method in class org.openimaj.image.typography.FontStyle
-
- setFontsToAvoid(List<String>) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the list of fonts to avoid.
- setForceRetry(int) - Method in class org.openimaj.image.processing.face.tracking.KLTHaarFaceTracker
-
- setFormat(AudioFormat) - Method in class org.openimaj.audio.Audio
-
Set the audio format of this audio object.
- setFormat(AudioFormat) - Method in class org.openimaj.audio.JavaSoundAudioGrabber
-
Set the audio format of this audio object.
- setFormat(AudioFormat) - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Reset the audio format for the samples in this buffer.
- setFormat(AudioFormat) - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Reset the audio format for the samples in this buffer.
- setFormat(AudioFormat) - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Reset the audio format for the samples in this buffer.
- setFormat(AudioFormat) - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Reset the audio format for the samples in this buffer.
- setFPS(double) - Method in class org.openimaj.video.capture.VideoCapture
-
Set the number of frames per second.
- setFPS(double) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Set the frames per second value for the video being processed.
- setFrameNumber(long) - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode
-
Set the frame number.
- setFrequency(double) - Method in class org.openimaj.audio.generation.Synthesizer
-
Set the frequency at which the synth will generate tones.
- setFrequencyBands(double[]) - Method in class org.openimaj.vis.audio.AudioSpectrogram
-
Set the frequency bands to overlay on the image in Hz.
- setFreshness(BingImageDataset.ImageDataSourceQuery.Freshness) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.ByteFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.DoubleFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.EnumFV
-
- setFromDouble(int, double) - Method in interface org.openimaj.feature.FeatureVector
-
Set an element of the feature from a double value
- setFromDouble(int, double) - Method in class org.openimaj.feature.FloatFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.IntFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.LongFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.ShortFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.SparseByteFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.SparseDoubleFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.SparseFloatFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.SparseIntFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.SparseLongFV
-
- setFromDouble(int, double) - Method in class org.openimaj.feature.SparseShortFV
-
- setFullscreen(boolean) - Method in class org.openimaj.content.slideshow.FullscreenUtility
-
Method allows changing whether this window is displayed in fullscreen or
windowed mode.
- setFullscreen(boolean) - Method in class org.openimaj.content.slideshow.Slideshow
-
Method allows changing whether this window is displayed in fullscreen or
windowed mode.
- setFullscreen(boolean) - Method in class org.openimaj.content.slideshow.SlideshowApplet
-
- setFullscreen(boolean) - Method in class org.openimaj.content.slideshow.SlideshowApplication
-
- setFullscreen(boolean) - Method in class org.openimaj.vis.general.JOGLWindow
-
- setFunction_of(List<String>) - Method in interface orgrdfs.sioc.ns.Role
-
- setFunction_of(List<String>) - Method in class orgrdfs.sioc.ns.RoleImpl
-
- setGain(int) - Method in class org.openimaj.audio.generation.Synthesizer
-
Set the gain at which the synth will generate tones
- setGaussianSigma(float) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Get the width of the Gaussian used for weighting samples, relative to the
half-width of the sampling window (default 1.0).
- setGeneralJSONClass(Class<? extends GeneralJSON>) - Method in class org.openimaj.twitter.USMFStatus
-
set the type of json that backs this instance (used primarily for
reading)
- setGLAD(GLAutoDrawable) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- setGLAutoDrawable(GLAutoDrawable) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
- setGridDirection(int) - Method in class org.openimaj.vis.general.AxisRenderer3D
-
- setGroupingFilter(DetectionFilter<Rectangle, ObjectIntPair<Rectangle>>) - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
Set the filter for merging detections
- setHas_administrator(List<UserAccount>) - Method in interface orgrdfs.sioc.ns.Site
-
- setHas_administrator(List<UserAccount>) - Method in class orgrdfs.sioc.ns.SiteImpl
-
- setHas_container(List<Container>) - Method in interface orgrdfs.sioc.ns.Item
-
- setHas_container(List<Container>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setHas_container(List<Container>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setHas_discussion(List<String>) - Method in interface orgrdfs.sioc.ns.Item
-
- setHas_discussion(List<String>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setHas_discussion(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setHas_host(List<Site>) - Method in interface orgrdfs.sioc.ns.Forum
-
- setHas_host(List<Site>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setHas_member(List<UserAccount>) - Method in interface orgrdfs.sioc.ns.Usergroup
-
- setHas_member(List<UserAccount>) - Method in class orgrdfs.sioc.ns.UsergroupImpl
-
- setHas_moderator(List<UserAccount>) - Method in interface orgrdfs.sioc.ns.Forum
-
- setHas_moderator(List<UserAccount>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setHas_modifier(List<UserAccount>) - Method in interface orgrdfs.sioc.ns.Item
-
- setHas_modifier(List<UserAccount>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setHas_modifier(List<UserAccount>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setHas_parent(List<Container>) - Method in interface orgrdfs.sioc.ns.Container
-
- setHas_parent(List<Container>) - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- setHas_parent(List<Container>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setHas_reply(List<Item>) - Method in interface orgrdfs.sioc.ns.Item
-
- setHas_reply(List<Item>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setHas_reply(List<Item>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setHas_scope(List<String>) - Method in interface orgrdfs.sioc.ns.Role
-
- setHas_scope(List<String>) - Method in class orgrdfs.sioc.ns.RoleImpl
-
- setHas_subscriber(List<UserAccount>) - Method in interface orgrdfs.sioc.ns.Container
-
- setHas_subscriber(List<UserAccount>) - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- setHas_subscriber(List<UserAccount>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setHas_usergroup(List<Usergroup>) - Method in class orgrdfs.sioc.ns.SiteImpl
-
- setHas_usergroup(List<Usergroup>) - Method in interface orgrdfs.sioc.ns.Space
-
- setHas_usergroup(List<Usergroup>) - Method in class orgrdfs.sioc.ns.SpaceImpl
-
- setHeight(int) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setHeightMapType(HeightMap3D.HeightMapType) - Method in class org.openimaj.vis.general.HeightMap3D
-
Set the way the height map is rendered.
- setHeightScale(float) - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- setHighFrequency(double) - Method in class org.openimaj.audio.filters.TriangularFilter
-
Set the high frequency of the filter
- setHighlightCountryLandColour(Float[]) - Method in class org.openimaj.vis.world.WorldMap
-
- setHorizontalAlignment(FontStyle.HorizontalAlignment) - Method in class org.openimaj.image.typography.FontStyle
-
- setHost_of(List<Forum>) - Method in interface orgrdfs.sioc.ns.Site
-
- setHost_of(List<Forum>) - Method in class orgrdfs.sioc.ns.SiteImpl
-
- setHref(String) - Method in class org.openimaj.web.readability.Anchor
-
Set the href
- setHystThresh1(int) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Set the fist hysteresis threshold.
- setHystThresh2(int) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Set the second hysteresis threshold.
- setId(long) - Method in class org.openimaj.web.flickr.FlickrImage
-
- setIM(double) - Method in class org.openimaj.math.util.Complex
-
Set the imaginary part.
- setImage() - Method in class org.openimaj.hardware.kinect.KinectVideoStreamCallback
-
Set the current image from the underlying buffer data
- setImage(MBFImage) - Method in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
-
Set the image to extract pixels from.
- setImage(BufferedImage) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set the image to draw
- setImage(I) - Method in class org.openimaj.image.Plotter
-
- setImage(I) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Change the target image of this renderer.
- setImage(I) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setImage(Image<Q, ?>) - Method in class org.openimaj.vis.general.AxisRenderer2D
-
- setImageBlurred(boolean) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- setImageContent(BingImageDataset.ImageDataSourceQuery.ImageContent) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setImageSize(FlickrImageDataset.Size) - Method in class org.openimaj.image.dataset.FlickrImageDataset
-
Set the size of the images that this dataset produces.
- setImageType(BingImageDataset.ImageDataSourceQuery.ImageType) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setImproveEstimate(boolean) - Method in class org.openimaj.math.model.fit.RANSAC
-
Set whether RANSAC should attempt to improve the model using all inliers
as data
- setIndexValue(int, String) - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Set the value of the index at a given offset
- setInit(ByteKMeansInit) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
Set the current initialisation algorithm
- setInit(DoubleKMeansInit) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
Set the current initialisation algorithm
- setInit(FeatureVectorKMeansInit<T>) - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
Set the current initialisation algorithm
- setInit(FloatKMeansInit) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
Set the current initialisation algorithm
- setInit(IntKMeansInit) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
Set the current initialisation algorithm
- setInit(LongKMeansInit) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
Set the current initialisation algorithm
- setInit(ShortKMeansInit) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Set the current initialisation algorithm
- setInitialSigma(float) - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Set the assumed initial scale of the first image in each octave.
- setInlierPercentage(double) - Method in class org.openimaj.image.model.asm.ActiveShapeModel
-
Set the target percentage of the number of points that move less than 0.5
of their total possible distance within an iteration to stop fitting.
- setInput(String) - Method in class org.openimaj.tools.InOutToolOptions
-
When the input file is set, any existing input file LIST file is removed
(anything from -if)
- setInputFile(String) - Method in class org.openimaj.tools.InOutToolOptions
-
- setInputFiles(List<File>) - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
Set the input files
- setInsideContent(boolean) - Method in class org.openimaj.web.layout.ElementInfo
-
- setIntegrationScale(float) - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
-
- setIntegrationScale(float) - Method in class org.openimaj.image.feature.local.interest.AffineAdaption
-
- setInvidiualBarColours(Float[][]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set the colours to use for each bar.
- setIp_address(List<String>) - Method in interface orgrdfs.sioc.ns.Item
-
- setIp_address(List<String>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setIp_address(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setIRMode(boolean) - Method in class org.openimaj.hardware.kinect.KinectController
-
Switch the main camera between InfraRed and RGB modes.
- setIsHole(boolean) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Set whether this polygon represents a hole in another polygon.
- setItalic(boolean) - Method in class org.openimaj.image.typography.FontStyle
-
- setItalicSlant(float) - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- setItemPlotter(ItemPlotter<O, Float[], MBFImage>) - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
Set the plotter
- setIteratorType(Class<? extends Iterator<FeatureFileFeature>>) - Method in class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
Set the iterator type
- setJvmArgs(String) - Method in class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
Set the JVM arguments to use when launching the program.
- setJvmArgs(String[]) - Method in class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
Set the JVM arguments to use when launching the program.
- setK(int) - Method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
Set the number of neighbours
- setK(int) - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
Set the number of clusters
- setKeepAspect(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Sets whether to keep the aspect ratio of the image constant when the image is
being autoFit into the component.
- setKeepOctaves(boolean) - Method in class org.openimaj.image.analysis.pyramid.PyramidOptions
-
Set whether the Pyramid should retain its octaves.
- setKernelSize(int) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Set the kernel size to use.
- setKeyframe(VideoKeyframe<T>) - Method in class org.openimaj.video.processing.shotdetector.ShotBoundary
-
- setLabelTransformer(LabelTransformer) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setLast_item_date(List<String>) - Method in interface orgrdfs.sioc.ns.Container
-
- setLast_item_date(List<String>) - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- setLast_item_date(List<String>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setLast_name(List<String>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setLast_name(List<String>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setLastCalculatedFeature(double[][]) - Method in class org.openimaj.audio.features.JAudioFeatureExtractor
-
- setLatest_version(List<Item>) - Method in interface orgrdfs.sioc.ns.Item
-
- setLatest_version(List<Item>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setLatest_version(List<Item>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setLearner(BilinearSparseOnlineLearner) - Method in class org.openimaj.ml.linear.evaluation.BilinearEvaluator
-
- setLearner(OnlineLearner<INDEPENDANT, DEPENDANT>) - Method in class org.openimaj.ml.linear.learner.init.AbstractContextAwareInitStrategy
-
- setLearner(OnlineLearner<INDEPENDANT, DEPENDANT>) - Method in interface org.openimaj.ml.linear.learner.init.ContextAwareInitStrategy
-
The
- setLED(KinectLEDMode) - Method in class org.openimaj.hardware.kinect.KinectController
-
Set the device status LEDs
- setLength(int) - Method in class org.openimaj.util.array.SparseByteArray
-
Set the length of the array.
- setLength(int) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Set the length of the array.
- setLength(int) - Method in class org.openimaj.util.array.SparseFloatArray
-
Set the length of the array.
- setLength(int) - Method in class org.openimaj.util.array.SparseIntArray
-
Set the length of the array.
- setLength(int) - Method in class org.openimaj.util.array.SparseLongArray
-
Set the length of the array.
- setLength(int) - Method in class org.openimaj.util.array.SparseShortArray
-
Set the length of the array.
- setLength(double) - Method in class org.openimaj.vis.general.HeightMap3D
-
Set the length of the rendered map
- setLicense(BingImageDataset.ImageDataSourceQuery.License) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setLightingInsensitive(boolean) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Enable or disable lighting insensitivity
- setLocalFile(File) - Method in class org.openimaj.web.flickr.FlickrImage
-
- setLocation(KeypointLocation) - Method in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint
-
- setLocation(KeypointLocation) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- setLocation(KeypointLocation) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- setLocation(KeypointLocation) - Method in class org.openimaj.image.feature.local.keypoints.MinMaxKeypoint
-
- setLocation(double[]) - Method in class org.openimaj.vis.general.AxisConfig
-
- setLowFrequency(double) - Method in class org.openimaj.audio.filters.TriangularFilter
-
Sets the low frequency
- setMagnificationFactor(float) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the magnification factor determining the size of a spatial SIFT bin
relative to the scale.
- setMagnitudeThreshold(float) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the threshold on the magnitude of detected points (Lowe IJCV, p.11)
- setMajorGridColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMajorGridColour(Q) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMajorGridThickness(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMajorGridThickness(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMajorTickColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMajorTickColour(Q) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMajorTickLabelFont(Font) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMajorTickLabelSpacing(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMajorTickLength(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMajorTickLength(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMajorTickSpacing(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMajorTickThickness(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMajorTickThickness(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMapperClass(Job, Class<? extends Mapper<INPUT_KEY, INPUT_VALUE, MAP_OUTPUT_KEY, MAP_OUTPUT_VALUE>>) - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
For stages which need more fine grained control of how a job's mapper is
set.
- setMask(M) - Method in class org.openimaj.image.mask.AbstractMaskedObject
-
- setMask(M) - Method in interface org.openimaj.image.mask.MaskedObject
-
Set the mask image.
- setMask(FImage) - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractImageMaskInpainter
-
- setMask(int, int, Collection<? extends Iterable<Pixel>>) - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractImageMaskInpainter
-
- setMask(int, int, PixelSet...) - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractImageMaskInpainter
-
- setMask(FImage) - Method in interface org.openimaj.image.processing.restoration.inpainting.Inpainter
-
Set the mask.
- setMask(int, int, Collection<? extends Iterable<Pixel>>) - Method in interface org.openimaj.image.processing.restoration.inpainting.Inpainter
-
Set the mask.
- setMask(int, int, PixelSet...) - Method in interface org.openimaj.image.processing.restoration.inpainting.Inpainter
-
Set the mask.
- setMathInput(MathMLFontStyle.MathInput) - Method in class org.openimaj.image.typography.mathml.MathMLFontStyle
-
- setMatrix(Matrix) - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
-
Set the matrix, any images processed from this point forward will be
projected using this matrix
- setMatrix(Matrix) - Method in class org.openimaj.ml.linear.learner.init.HardCodedInitStrat
-
The matrix to init things to
- setMax(float) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Set the expected maximum value.
- setMaxArea(int) - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- setMaxArea(int) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- setMaxBufferSize(int) - Method in class org.openimaj.audio.JavaSoundAudioGrabber
-
Set the maximum size buffer to be returned.
- setMaxBufferSize(int) - Method in class org.openimaj.hardware.serial.SerialReader
-
Set the size of the buffer to use.
- setMaxFileExtract(int) - Method in class org.openimaj.hadoop.sequencefile.ExtractionState
-
Set the maximum allowed number of records to extract.
- setMaximum(float) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Set the maximum value that the signal can achieve.
- setMaximum(double) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
Set the maximum data value
- setMaximum(double) - Method in class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Set the maximum data value
- setMaximumDetectionSize(int) - Method in class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
- setMaximumDetectionSize(int) - Method in interface org.openimaj.image.objectdetection.MultiScaleObjectDetector
-
(Optional operation).
- setMaxIterations(int) - Method in class org.openimaj.image.model.asm.ActiveShapeModel
-
Set the maximum allowed number of iterations in fitting the model
- setMaxIterations(int) - Method in class org.openimaj.math.model.fit.RANSAC
-
Set the maximum number of allowed iterations
- setMaxIterations(int) - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
Set the maximum allowed number of iterations.
- setMaxIterations(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the maximum number of iterations
- setMaxResidue(float) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the maximum residue
- setMaxSize(int) - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
Set the maximum detection window size
- setMaxStrokeWidth(int) - Method in class org.openimaj.image.processing.edges.StrokeWidthTransform
-
Set the maximum stroke width
- setMaxValue(double) - Method in class org.openimaj.vis.general.AxisConfig
-
- setMaxValue(double) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set the maximum value (in units) for the bars.
- setMaxValue(double) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set the maximum value (in units) for the bars.
- setMaxValue(double) - Method in class org.openimaj.vis.general.HeightMap3D
-
Set the maximum value expected in this heightmap.
- setMaxVariation(float) - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- setMaxVariation(float) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- setMaxXValue(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMaxXValue(double) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
Set the maximum x value
- setMaxYValue(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMaxYValue(double) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
Set the maximum y value
- setMaxZValue(double) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
Set the maximum z value
- setMember_of(List<Usergroup>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setMember_of(List<Usergroup>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setMeshColour(Float[]) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- setMetaClass(MetaClass) - Method in class org.openimaj.hardware.gps.NMEAMessage
-
- setMetaClass(MetaClass) - Method in class org.openimaj.hardware.gps.NMEAParser
-
- setMetaClass(MetaClass) - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- setMetadata(Map<String, String>, Configuration) - Static method in class org.openimaj.hadoop.sequencefile.MetadataConfiguration
-
Write the given metadata to the Configuration
.
- setMin(float) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Set the expected minimum value.
- setMinArea(int) - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- setMinArea(int) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- setMinDeterminant(float) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the minimum determinant
- setMinDisplacement(float) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the minimum displacement
- setMinDist(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the minimum distance
- setMinDiversity(float) - Method in class org.openimaj.image.feature.local.detector.mser.MSERDetector
-
- setMinDiversity(float) - Method in class org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator
-
- setMinEigenvalue(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the minimum eigenvalue
- setMinimumDetectionSize(int) - Method in class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
- setMinimumDetectionSize(int) - Method in interface org.openimaj.image.objectdetection.MultiScaleObjectDetector
-
(Optional operation).
- setMinMax(int[], int[]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
The maximum and minimum values for the various dimentions against which
random decisions will be based.
- setMinorGridColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMinorGridColour(Q) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMinorGridThickness(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMinorGridThickness(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMinorTickColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMinorTickColour(Q) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMinorTickLabelFont(Font) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMinorTickLabelSpacing(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMinorTickLength(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMinorTickLength(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMinorTickSpacing(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMinorTickThickenss(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMinorTickThickness(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setMinRelativeChildProp(double) - Method in class org.openimaj.image.contour.SuzukiContourProcessor
-
Set the threshold at which small children (measured relative to their
parent area) are removed.
- setMinSize(int) - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
Set the minimum detection window size
- setMinTickSpacing(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMinValue(double) - Method in class org.openimaj.vis.general.AxisConfig
-
- setMinValue(double) - Method in class org.openimaj.vis.general.BarVisualisation
-
Set the minimum value (in units) to use to plot the bars.
- setMinValue(double) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
Set the minimum value (in units) to use to plot the bars.
- setMinValue(double) - Method in class org.openimaj.vis.general.HeightMap3D
-
Set the minimum value expected in this heightmap;
- setMinXValue(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMinXValue(double) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
Set the Minimum x value
- setMinYValue(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setMinYValue(double) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
Set the Minimum y value
- setMinZValue(double) - Method in class org.openimaj.vis.general.AxesRenderer3D
-
Set the Minimum z value
- setMixEvents(boolean) - Method in class org.openimaj.audio.AudioMixer
-
Whether to fire mix events or not (default is that the mixer doesn't)
- setMode(AudioPlayer.Mode) - Method in class org.openimaj.audio.AudioPlayer
-
Set the mode of the player.
- setMode(VideoDisplay.Mode) - Method in class org.openimaj.video.VideoDisplay
-
Set whether this player is playing, paused or stopped.
- setModel(M) - Method in class org.openimaj.math.geometry.transforms.residuals.AlgebraicResidual2d
-
- setModel(M) - Method in class org.openimaj.math.geometry.transforms.residuals.SingleImageTransferResidual2d
-
- setModel(M) - Method in class org.openimaj.math.geometry.transforms.residuals.SymmetricTransferResidual2d
-
- setModel(M) - Method in class org.openimaj.math.geometry.transforms.residuals.TransformedSITR2d
-
- setModel(M) - Method in class org.openimaj.math.model.fit.RANSAC
-
Set the underlying model being fitted
- setModel(M) - Method in class org.openimaj.math.model.fit.residuals.AbstractResidualCalculator
-
- setModel(M) - Method in interface org.openimaj.math.model.fit.residuals.ResidualCalculator
-
Set the current model being evaluated.
- setModelConstructionData(List<? extends IndependentPair<I, D>>) - Method in class org.openimaj.math.model.fit.RANSAC
-
Set the data used to construct the model
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.BasicMatcher
-
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.BasicTwoWayMatcher
-
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d
-
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.consistent.LocalConsistentKeypointMatcher
-
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.FastBasicKeypointMatcher
-
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.FastEuclideanKeypointMatcher
-
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.FastLimitedEuclideanKeypointMatcher
-
- setModelFeatures(List<T>) - Method in interface org.openimaj.feature.local.matcher.LocalFeatureMatcher
-
Set the features that represent the database to match queries against
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.MultipleMatchesMatcher
-
- setModelFeatures(List<T>) - Method in class org.openimaj.feature.local.matcher.quantised.BasicQuantisedKeypointMatcher
-
- setModerator_of(List<Forum>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setModerator_of(List<Forum>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setModified_at(List<String>) - Method in interface orgrdfs.sioc.ns.Post
-
- setModified_at(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setModifier_of(List<Item>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setModifier_of(List<Item>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setMouseConfined(boolean) - Method in class org.openimaj.vis.general.JOGLWindow
-
- setMouseVisible(boolean) - Method in class org.openimaj.vis.general.JOGLWindow
-
- setName(String) - Method in class org.openimaj.vis.general.AxisConfig
-
- setNameColour(Q) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setNameDirection(int) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setNameOrientation(double[]) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setNameSize(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setNbins(int) - Method in class org.openimaj.image.analysis.algorithm.histogram.BinnedWindowedExtractor
-
Set the number of bins.
- setNBits(int) - Method in class org.openimaj.audio.AudioFormat
-
Sets the number of bits in this audio format.
- setnChars(int) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the number of characters to randomly generate.
- setNearestNeighbourFactory(NearestNeighboursFactory<? extends NN, DATA>) - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
- setNext_by_date(List<Item>) - Method in interface orgrdfs.sioc.ns.Item
-
- setNext_by_date(List<Item>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setNext_by_date(List<Item>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setNext_version(List<Item>) - Method in interface orgrdfs.sioc.ns.Item
-
- setNext_version(List<Item>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setNext_version(List<Item>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setNextAnimator(byte) - Method in class org.openimaj.content.animation.animator.RandomLinearByteValueAnimator
-
- setNextAnimator(double) - Method in class org.openimaj.content.animation.animator.RandomLinearDoubleValueAnimator
-
- setNextAnimator(float) - Method in class org.openimaj.content.animation.animator.RandomLinearFloatValueAnimator
-
- setNextAnimator(int) - Method in class org.openimaj.content.animation.animator.RandomLinearIntegerValueAnimator
-
- setNextAnimator(long) - Method in class org.openimaj.content.animation.animator.RandomLinearLongValueAnimator
-
- setNextAnimator(short) - Method in class org.openimaj.content.animation.animator.RandomLinearShortValueAnimator
-
- setNgrams(Integer...) - Method in class org.openimaj.text.nlp.namedentity.YagoEntityCandidateFinderFactory.YagoEntityCandidateFinder
-
Set the ngram sizes that the CandidateFinder will search with.
- setNoiseAsClusters(boolean) - Method in class org.openimaj.ml.clustering.dbscan.DBSCAN
-
Treat noise as clusters on their own
- setNorm(boolean) - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
Set whether input images are in [0,1] (true) or [0,255] (false).
- setNTweets(int) - Method in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
set the number of tweets
- setNull(ParameterizedSparqlString, String) - Static method in class org.openimaj.rdf.utils.PQUtils
-
Set a ParameterizedSparqlString
null
- setNum_items(List<Integer>) - Method in interface orgrdfs.sioc.ns.Container
-
- setNum_items(List<Integer>) - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- setNum_items(List<Integer>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setNum_threads(List<Integer>) - Method in interface orgrdfs.sioc.ns.Forum
-
- setNum_threads(List<Integer>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setNumberOfBins(int) - Method in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector
-
Set the number of bins.
- setNumberOfSegments(int) - Method in class org.openimaj.image.analysis.algorithm.HoughLines
-
Set the number of segments used in the accumulator space.
- setNumberOfThreads(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Sets the number of threads.
- setNumberToStore(int) - Method in class org.openimaj.audio.features.SpectralFlux
-
Set the number of spectral flux values to store in the feature
- setNumChannels(int) - Method in class org.openimaj.audio.AudioFormat
-
Set the number of channels in this format.
- setNumClusters(int) - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
Set the number of clusters
- setNumComponents(int) - Method in class org.openimaj.math.geometry.shape.PointDistributionModel
-
Set the number of components of the PDM
- setNumComponents(PrincipalComponentAnalysis.ComponentSelector) - Method in class org.openimaj.math.geometry.shape.PointDistributionModel
-
- setNumOriBins(int) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the number of orientation bins (default 8) in the SIFT feature
- setNumOriHistBins(int) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the number of orientation histogram bins for finding the dominant
orientations; Lowe's IJCV paper (p.13) suggests 36 bins.
- setNumSpatialBins(int) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the number of spatial bins in each direction (default 4) in the SIFT
feature
- setObjectField(Object, Field, Object) - Method in class org.kohsuke.args4j.ProxyOptionHandler
-
- setOCRProcessor(OCRProcessor<T>) - Method in class org.openimaj.image.text.extraction.TextExtractor
-
For the text regions that are extracted to be associated with textual
representations of the text regions, an OCR processor must be used.
- setOctaveInterestPointListener(OctaveInterestPointListener<GaussianOctave<FImage>, FImage>) - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.DoGOctaveExtremaFinder
-
- setOctaveInterestPointListener(OctaveInterestPointListener<GaussianOctave<MBFImage>, MBFImage>) - Method in class org.openimaj.image.feature.local.detector.dog.pyramid.FirstBandDoGOctaveExtremaFinder
-
- setOctaveInterestPointListener(InterestPointFeatureCollector<T>) - Method in class org.openimaj.image.feature.local.detector.ipd.finder.OctaveInterestPointFinder
-
- setOctaveInterestPointListener(OctaveInterestPointListener<OCTAVE, IMAGE>) - Method in class org.openimaj.image.feature.local.detector.pyramid.AbstractOctaveInterestPointFinder
-
- setOctaveInterestPointListener(OctaveInterestPointListener<OCTAVE, IMAGE>) - Method in interface org.openimaj.image.feature.local.detector.pyramid.OctaveInterestPointFinder
-
Set a listener object that will listen to events triggered when interest
points are detected.
- setOctaveProcessor(OctaveProcessor<OCTAVE, IMAGE>) - Method in class org.openimaj.image.analysis.pyramid.PyramidOptions
-
Get an OctaveProcessor to apply to each octave of the pyramid.
- setOffset(int) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setOptions(HadoopFastKMeansOptions) - Method in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeans
-
- setOptions(OPTIONS) - Method in class org.openimaj.image.analysis.pyramid.Pyramid
-
Set the options used to initialise this pyramid
- setOptionsMap(Map<String, String>) - Method in class org.openimaj.tools.clusterquantiser.ClusterType.ClusterTypeOp
-
Set options
- setOrdinate(int, Number) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- setOrdinate(int, Number) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- setOrdinate(int, Number) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- setOrdinate(int, Number) - Method in class org.openimaj.image.pixel.Pixel
-
- setOrdinate(int, Number) - Method in interface org.openimaj.math.geometry.point.Coordinate
-
Set the ordinate value for a specific dimension.
- setOrdinate(int, Number) - Method in class org.openimaj.math.geometry.point.DoublePoint2dImpl
-
- setOrdinate(int, Number) - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
- setOrdinate(int, Number) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- setOrdinate(int, Number) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- setOrdinate(int, Number) - Method in class org.openimaj.video.tracking.klt.Feature
-
- setOrientation(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
Set the orientation of the x axis
- setOrientation(double[]) - Method in class org.openimaj.vis.general.AxisConfig
-
- setOriginal(boolean) - Method in class org.openimaj.web.flickr.FlickrImage
-
- setOriginalImage(Image<?, ?>) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
If you want to be able to inspect the original image's pixel values (rather
than the generated BufferedImage) set the original image here.
- setOscillatorType(Oscillator) - Method in class org.openimaj.audio.generation.Synthesizer
-
Set the type of oscillator used to generate tones.
- setOutline(boolean) - Method in class org.openimaj.image.typography.general.GeneralFontStyle
-
Set whether this font should be drawn in outline or not.
- setOutlineText(boolean) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setOutlineText(boolean) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setOutput(String) - Method in class org.openimaj.tools.InOutToolOptions
-
- setOutputClassNames(boolean) - Method in class org.openimaj.rdf.serialize.RDFSerializer
-
Set whether to output class names as triples.
- setOwner_of(List<String>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setOwner_of(List<String>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setPadding(int) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the padding around the outside of the image.
- setPadToNextPowerOf2(boolean) - Method in class org.openimaj.audio.analysis.FourierTransform
-
Set whether to pad the input to the next power of 2.
- setParent(Contour) - Method in class org.openimaj.image.contour.Contour
-
- setParent_of(List<Container>) - Method in interface orgrdfs.sioc.ns.Container
-
- setParent_of(List<Container>) - Method in class orgrdfs.sioc.ns.ContainerImpl
-
- setParent_of(List<Container>) - Method in class orgrdfs.sioc.ns.ForumImpl
-
- setPatchOrientation(float) - Method in interface org.openimaj.image.feature.local.descriptor.gradient.GradientFeatureProvider
-
Set the primary orientation of the sample patch in the image being
processed.
- setPatchOrientation(float) - Method in class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
- setPatchOrientation(float) - Method in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- setPayload(O) - Method in class org.openimaj.math.geometry.point.PayloadCoordinate
-
Set the payload.
- setPeakThreshold(float) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the threshold for peak detection in the orientation histogram.
- setPenColour(Q) - Method in class org.openimaj.image.Plotter
-
- setPenPosition(Pixel) - Method in class org.openimaj.image.Plotter
-
- setPenThickness(int) - Method in class org.openimaj.image.Plotter
-
- setPercentageThreshold(float) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
Set the percentage threshold
- setPerspectiveJitter(double) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the amount of perspective jitter to use.
- setPixel(int, int, Float) - Method in class org.openimaj.image.FImage
-
Sets the pixel at (x,y)
to the given value.
- setPixel(int, int, Q) - Method in class org.openimaj.image.Image
-
Sets the pixel at (x,y)
to the given value.
- setPixel(int, int, Float[]) - Method in class org.openimaj.image.MBFImage
-
- setPixel(int, int, T[]) - Method in class org.openimaj.image.MultiBandImage
-
Sets the pixel at (x,y)
to the given value.
- setPixel(int, int, Float[]) - Method in class org.openimaj.image.SVGImage
-
- setPixelNative(int, int, float) - Method in class org.openimaj.image.FImage
-
Sets the pixel at (x,y)
to the given value.
- setPixelNative(int, int, float[]) - Method in class org.openimaj.image.MBFImage
-
Sets the pixel at (x,y)
to the given value.
- setPlotter(ItemPlotter3D<D>) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- setPointColour(Float[]) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- setPosition(double) - Method in class org.openimaj.video.VideoDisplay
-
Set the position of the play head to the given percentage.
- setPrevious_by_date(List<Item>) - Method in interface orgrdfs.sioc.ns.Item
-
- setPrevious_by_date(List<Item>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setPrevious_by_date(List<Item>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setPrevious_version(List<Item>) - Method in interface orgrdfs.sioc.ns.Item
-
- setPrevious_version(List<Item>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setPrevious_version(List<Item>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setPreviousPyramid(PyramidSet) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
- setPrincipalPointX(double) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Set the x-ordinate of the principal point (in pixels).
- setPrincipalPointY(double) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Set the y-ordinate of the principal point (in pixels).
- setProgress(double) - Method in class org.openimaj.video.VideoPlayer.VideoPlayerComponent.ButtonsPanel
-
Set the progress (0-100)
- setProperty(String, Object) - Method in class org.openimaj.hardware.gps.NMEAMessage
-
- setProperty(String, Object) - Method in class org.openimaj.hardware.gps.NMEAParser
-
- setProperty(String, Object) - Method in enum org.openimaj.hardware.gps.NMEASentenceType
-
- setPSSIri(ParameterizedSparqlString, String, String) - Static method in class org.openimaj.rdf.utils.PQUtils
-
- setPSSLiteral(ParameterizedSparqlString, String[], double[]) - Static method in class org.openimaj.rdf.utils.PQUtils
-
Set a ParameterizedSparqlString
literal
- setPSSLiteral(ParameterizedSparqlString, String, double) - Static method in class org.openimaj.rdf.utils.PQUtils
-
Set a ParameterizedSparqlString
literal
- setPSSLiteral(ParameterizedSparqlString, String, int) - Static method in class org.openimaj.rdf.utils.PQUtils
-
Set a ParameterizedSparqlString
literal
- setPSSLiteral(ParameterizedSparqlString, String, String) - Static method in class org.openimaj.rdf.utils.PQUtils
-
Set a ParameterizedSparqlString
literal
- setPSSResource(ParameterizedSparqlString, String, Resource) - Static method in class org.openimaj.rdf.utils.PQUtils
-
- setPyramidProcessor(PyramidProcessor<IMAGE>) - Method in class org.openimaj.image.analysis.pyramid.PyramidOptions
-
Sets the PyramidProcessor.
- setQuery(String) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setQuery(I, String) - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
Set the query image.
- setQueryTest() - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
Compare the query to itself for the next test
- setRadius(float) - Method in class org.openimaj.math.geometry.shape.Circle
-
Set the radius of the circle.
- setRandomSeed(int) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- setRandomSeed(int) - Method in class org.openimaj.ml.clustering.rforest.RandomDecision
-
Random seed upon which a java
Random
object is seeded and used to choose
random indecies and thresholds.
- setRandomSelection(int, int) - Method in class org.openimaj.hadoop.sequencefile.ExtractionState
-
Instruct the state to extract number records from the file randomly.
- setRE(double) - Method in class org.openimaj.math.util.Complex
-
Set the real part.
- setRedetectEvery(int) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Set the number of frames after which a redection is forced by the tracker.
- setReducerClass(Job, Class<? extends Reducer<MAP_OUTPUT_KEY, MAP_OUTPUT_VALUE, OUTPUT_KEY, OUTPUT_VALUE>>) - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
For stages which require more fine grained control of how a job's reducer
is set.
- setReference(List<String>) - Method in interface orgrdfs.sioc.ns.Post
-
- setReference(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setRegEx(String) - Method in class org.openimaj.hardware.serial.RegExParser
-
Set the regular expression to use.
- setRegex(String) - Method in class org.openimaj.hardware.serial.SerialDevice
-
Set the regular expression to use to split incoming strings.
- setRegisteredDepth(boolean) - Method in class org.openimaj.hardware.kinect.KinectController
-
Set whether depth should be registered
- setRelease(long) - Method in class org.openimaj.audio.generation.Synthesizer
-
Set the ADSR release time in milliseconds
- setRemoveEventsWhenComplete(boolean) - Method in class org.openimaj.time.Sequencer
-
Sets whether to remove events from the event list when they have
been completed.
- setRenderAxesLast(boolean) - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
- setRenderAxis(boolean) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setRenderHints(RenderHints) - Method in class org.openimaj.image.renderer.ImageRenderer
-
Set the render hints associated with this renderer
- setRenderingConfig(AxisConfig.AxisRenderingConfig<Q>) - Method in class org.openimaj.vis.general.AxisConfig
-
- setReply_of(List<Item>) - Method in interface orgrdfs.sioc.ns.Item
-
- setReply_of(List<Item>) - Method in class orgrdfs.sioc.ns.ItemImpl
-
- setReply_of(List<Item>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setRequiredSize(Dimension) - Method in class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Set the required size of the visualisation image.
- setRequiredSize(Dimension) - Method in class org.openimaj.vis.Visualisation3D
-
- setRequiredSize(Dimension) - Method in interface org.openimaj.vis.VisualisationImageProvider
-
Set the required size of the visualisation image.
- setRequiredSize(Dimension) - Method in class org.openimaj.vis.VisualisationImpl
-
Set the required size of the vis
- SetRetrievalComparator - Class in org.lemurproject.ireval
-
- SetRetrievalComparator(Map<String, Double>, Map<String, Double>) - Constructor for class org.lemurproject.ireval.SetRetrievalComparator
-
Creates a new instance of SetRetrievalComparator
- SetRetrievalEvaluator - Class in org.lemurproject.ireval
-
Computes summary statistics over a set of queries.
- SetRetrievalEvaluator(Collection<RetrievalEvaluator>) - Constructor for class org.lemurproject.ireval.SetRetrievalEvaluator
-
Creates a new instance of SetRetrievalEvaluator
- setRetryFailedEvents(boolean) - Method in class org.openimaj.time.Sequencer
-
Sets whether failed events will be retried at the next processing
time.
- setROI(Rectangle) - Method in class org.openimaj.image.objectdetection.AbstractMultiScaleObjectDetector
-
- setROI(Rectangle) - Method in class org.openimaj.image.objectdetection.FilteringObjectDetector
-
- setROI(Rectangle) - Method in interface org.openimaj.image.objectdetection.ObjectDetector
-
(Optional operation).
- setROI(Rectangle) - Method in class org.openimaj.image.objectdetection.RotationSimulationObjectDetector
-
- setRow(int, SparseVector) - Method in class ch.akuhn.matrix.SparseMatrix
-
- setRow(Matrix, int, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Set the values of the elements in a single column to a constant value.
- setSafeSearch(BingImageDataset.ImageDataSourceQuery.SafeSearch) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setSampleRateKHz(double) - Method in class org.openimaj.audio.AudioFormat
-
Set the sample rate at which the audio should be replayed
- setSamples(byte[]) - Method in class org.openimaj.audio.SampleChunk
-
Set the samples in this sample chunk.
- setSamples(int) - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
Set the number of samples
- setSamplingSize(float) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the size of the sampling window relative to the sampling scale.
- setSaveModel(File) - Method in class org.openimaj.ml.annotation.svm.SVMAnnotator
-
Set whether to save the SVM model to disk.
- setScale(float) - Method in class org.openimaj.feature.local.ScaleSpaceLocation
-
- setScale(float) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- setScale(float) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- setScale(float, float) - Method in class org.openimaj.image.objectdetection.haar.HaarFeature
-
Set the current detection scale, setting up the internal caches
appropriately.
- setScale(float) - Method in class org.openimaj.image.objectdetection.haar.StageTreeClassifier
-
Set the current detection scale.
- setScale(float) - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
Set the detector scale factor
- setScale(float) - Method in interface org.openimaj.math.geometry.point.ScaleSpacePoint
-
Set the scale associated with this point.
- setScaleFactor(double, double) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set the scale factor to draw the image.
- setScaleFactor(float) - Method in class org.openimaj.image.objectdetection.haar.Detector
-
Set the scale factor (the amount to change between scales
(multiplicative)).
- setScaleFactorX(double) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set the scale factor to draw the image in the x-direction.
- setScaleFactorY(double) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set the scale factor to draw the image in the y-direction.
- setScales(int) - Method in class org.openimaj.image.analysis.pyramid.gaussian.GaussianPyramidOptions
-
Set the number of scales in this octave minus extraScaleSteps.
- setScaling(float) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the value for weighting the scaling Gaussian of the orientation
histogram relative to the keypoint scale.
- setScalingFactor(float) - Method in class org.openimaj.audio.analysis.FourierTransform
-
Set the scaling factor to use.
- setSeaColour(Float[]) - Method in class org.openimaj.vis.world.WorldMap
-
- setSearchAreaColour(Float[]) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- setSearchAreaSize(float) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
- setSearchBounds(Rectangle) - Method in class org.openimaj.image.analysis.algorithm.FourierTemplateMatcher
-
Set the search bounds rectangle.
- setSearchBounds(Rectangle) - Method in class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
Set the search bounds rectangle.
- setSecond(byte) - Method in class org.openimaj.util.pair.ByteBytePair
-
Set the value of the second element
- setSecond(double) - Method in class org.openimaj.util.pair.ByteDoublePair
-
Set the value of the second element
- setSecond(float) - Method in class org.openimaj.util.pair.ByteFloatPair
-
Set the value of the second element
- setSecond(int) - Method in class org.openimaj.util.pair.ByteIntPair
-
Set the value of the second element
- setSecond(long) - Method in class org.openimaj.util.pair.ByteLongPair
-
Set the value of the second element
- setSecond(Q) - Method in class org.openimaj.util.pair.ByteObjectPair
-
Set the value of the second element
- setSecond(short) - Method in class org.openimaj.util.pair.ByteShortPair
-
Set the value of the second element
- setSecond(byte) - Method in class org.openimaj.util.pair.DoubleBytePair
-
Set the value of the second element
- setSecond(double) - Method in class org.openimaj.util.pair.DoubleDoublePair
-
Set the value of the second element
- setSecond(float) - Method in class org.openimaj.util.pair.DoubleFloatPair
-
Set the value of the second element
- setSecond(int) - Method in class org.openimaj.util.pair.DoubleIntPair
-
Set the value of the second element
- setSecond(long) - Method in class org.openimaj.util.pair.DoubleLongPair
-
Set the value of the second element
- setSecond(Q) - Method in class org.openimaj.util.pair.DoubleObjectPair
-
Set the value of the second element
- setSecond(short) - Method in class org.openimaj.util.pair.DoubleShortPair
-
Set the value of the second element
- setSecond(byte) - Method in class org.openimaj.util.pair.FloatBytePair
-
Set the value of the second element
- setSecond(double) - Method in class org.openimaj.util.pair.FloatDoublePair
-
Set the value of the second element
- setSecond(float) - Method in class org.openimaj.util.pair.FloatFloatPair
-
Set the value of the second element
- setSecond(int) - Method in class org.openimaj.util.pair.FloatIntPair
-
Set the value of the second element
- setSecond(long) - Method in class org.openimaj.util.pair.FloatLongPair
-
Set the value of the second element
- setSecond(Q) - Method in class org.openimaj.util.pair.FloatObjectPair
-
Set the value of the second element
- setSecond(short) - Method in class org.openimaj.util.pair.FloatShortPair
-
Set the value of the second element
- setSecond(byte) - Method in class org.openimaj.util.pair.IntBytePair
-
Set the value of the second element
- setSecond(double) - Method in class org.openimaj.util.pair.IntDoublePair
-
Set the value of the second element
- setSecond(float) - Method in class org.openimaj.util.pair.IntFloatPair
-
Set the value of the second element
- setSecond(int) - Method in class org.openimaj.util.pair.IntIntPair
-
Set the value of the second element
- setSecond(long) - Method in class org.openimaj.util.pair.IntLongPair
-
Set the value of the second element
- setSecond(Q) - Method in class org.openimaj.util.pair.IntObjectPair
-
Set the value of the second element
- setSecond(short) - Method in class org.openimaj.util.pair.IntShortPair
-
Set the value of the second element
- setSecond(byte) - Method in class org.openimaj.util.pair.LongBytePair
-
Set the value of the second element
- setSecond(double) - Method in class org.openimaj.util.pair.LongDoublePair
-
Set the value of the second element
- setSecond(float) - Method in class org.openimaj.util.pair.LongFloatPair
-
Set the value of the second element
- setSecond(int) - Method in class org.openimaj.util.pair.LongIntPair
-
Set the value of the second element
- setSecond(long) - Method in class org.openimaj.util.pair.LongLongPair
-
Set the value of the second element
- setSecond(Q) - Method in class org.openimaj.util.pair.LongObjectPair
-
Set the value of the second element
- setSecond(short) - Method in class org.openimaj.util.pair.LongShortPair
-
Set the value of the second element
- setSecond(byte) - Method in class org.openimaj.util.pair.ObjectBytePair
-
Set the value of the second element
- setSecond(double) - Method in class org.openimaj.util.pair.ObjectDoublePair
-
Set the value of the second element
- setSecond(float) - Method in class org.openimaj.util.pair.ObjectFloatPair
-
Set the value of the second element
- setSecond(int) - Method in class org.openimaj.util.pair.ObjectIntPair
-
Set the value of the second element
- setSecond(long) - Method in class org.openimaj.util.pair.ObjectLongPair
-
Set the value of the second element
- setSecond(short) - Method in class org.openimaj.util.pair.ObjectShortPair
-
Set the value of the second element
- setSecond(byte) - Method in class org.openimaj.util.pair.ShortBytePair
-
Set the value of the second element
- setSecond(double) - Method in class org.openimaj.util.pair.ShortDoublePair
-
Set the value of the second element
- setSecond(float) - Method in class org.openimaj.util.pair.ShortFloatPair
-
Set the value of the second element
- setSecond(int) - Method in class org.openimaj.util.pair.ShortIntPair
-
Set the value of the second element
- setSecond(long) - Method in class org.openimaj.util.pair.ShortLongPair
-
Set the value of the second element
- setSecond(Q) - Method in class org.openimaj.util.pair.ShortObjectPair
-
Set the value of the second element
- setSecond(short) - Method in class org.openimaj.util.pair.ShortShortPair
-
Set the value of the second element
- setSecondObject(B) - Method in class org.openimaj.util.pair.IndependentPair
-
Set second object in pair to obj
- setSecret(String) - Method in class org.openimaj.web.flickr.FlickrImage
-
- setSeed(long) - Method in class org.openimaj.ml.clustering.random.RandomByteClusterer
-
- setSeed(long) - Method in class org.openimaj.ml.clustering.random.RandomDoubleClusterer
-
- setSeed(long) - Method in class org.openimaj.ml.clustering.random.RandomFloatClusterer
-
- setSeed(long) - Method in class org.openimaj.ml.clustering.random.RandomIntClusterer
-
- setSeed(long) - Method in class org.openimaj.ml.clustering.random.RandomLongClusterer
-
- setSeed(long) - Method in class org.openimaj.ml.clustering.random.RandomShortClusterer
-
- setSeed(long) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchByteDataSource
-
Set the random seed
- setSeed(long) - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchIntDataSource
-
Set the random seed
- setSelectionMode(IPDSelectionMode) - Method in class org.openimaj.image.feature.local.engine.ipd.AbstractIPDSIFTEngine
-
set the selection mode number
- setSequentialMode(boolean) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Enable or disable sequential mode
- setServer(int) - Method in class org.openimaj.web.flickr.FlickrImage
-
- setShearJitter(double) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the amount of shear jitter
- setShowButtons(boolean) - Method in class org.openimaj.video.VideoPlayer.VideoPlayerComponent
-
Set whether the buttons are in view or not.
- setShowPixelColours(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set whether to show pixel colours or not.
- setShowXYPosition(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set whether to show the XY position of the mouse curson or not
- setSigned(boolean) - Method in class org.openimaj.audio.AudioFormat
-
Set whether the data is signed or not.
- setSize(BingImageDataset.ImageDataSourceQuery.Size) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setSize(char) - Method in class org.openimaj.web.flickr.FlickrImage
-
- setSizeJitter(double) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the amount of size jitter to use.
- setSkewFactor(double) - Method in class org.openimaj.image.camera.CameraIntrinsics
-
Set the skew factor.
- setSkinModel(MBFPixelClassificationModel) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
Set the underlying skin-tone classifier
- setSkinThreshold(float) - Method in class org.openimaj.image.processing.face.detection.SandeepFaceDetector
-
Set the detection threshold.
- setSmallStep(int) - Method in class org.openimaj.image.objectdetection.haar.Detector
-
Set the step size the detector will make if there is any hint of a
detection.
- setSmoothingIterations(int) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the number of iterations of the smoothing filter.
- setSoundLineBufferSize(double) - Method in class org.openimaj.audio.AudioPlayer
-
Set the length of the sound line's buffer in milliseconds.
- setSourceImage(FImage) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
- setSpace_of(List<String>) - Method in class orgrdfs.sioc.ns.SiteImpl
-
- setSpace_of(List<String>) - Method in interface orgrdfs.sioc.ns.Space
-
- setSpace_of(List<String>) - Method in class orgrdfs.sioc.ns.SpaceImpl
-
- setStage(Stage<?, ?, ?, ?, ?, ?, ?, ?>) - Method in class org.openimaj.hadoop.mapreduce.SingleStagedJob
-
- setStartTimecode(AudioTimecode) - Method in class org.openimaj.audio.SampleChunk
-
Set the timecode at the start of this audio chunk.
- setStartTimecode(AudioTimecode) - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Set the timecode for this buffer.
- setStartTimeMilliseconds(long) - Method in class org.openimaj.vis.audio.AudioOverviewVisualisation
-
Set the start time of this object
- setStartTimeMilliseconds(long) - Method in interface org.openimaj.vis.timeline.TimelineObject
-
Set the start time of this object
- setStartTimeMilliseconds(long) - Method in class org.openimaj.vis.timeline.TimelineObjectAdapter
-
Set the start time of this object
- setStepFactor(float) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the step factor
- setStoreAllDifferentials(boolean) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Set whether to store differentials during the processing
stage.
- setStrokeColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setStrokeColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setStrokeProvider(StrokeColourProvider<Float[]>) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setStrokeProvider(StrokeColourProvider<Float[]>) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setStrokeWidth(int) - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- setSubject(List<String>) - Method in interface orgrdfs.sioc.ns.Post
-
- setSubject(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setSubMatrix(Matrix, int, int, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Set a submatrix of a larger matrix
- setSubMatrixCol(Matrix, int, int, Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Starting from a given row of a column, set the values of a matrix to the
values of v
- setSubMatrixRow(Matrix, int, int, Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Starting from a given column of a row, set the values of a matrix to the
values of v
- setSubsampling(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the amount of subsampling
- setSubscriber_of(List<Container>) - Method in interface orgrdfs.sioc.ns.UserAccount
-
- setSubscriber_of(List<Container>) - Method in class orgrdfs.sioc.ns.UserAccountImpl
-
- setSubscriptionKey(String) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setSubVector(Vector, int, Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- setSustain(float) - Method in class org.openimaj.audio.generation.Synthesizer
-
Set the ADSR sustain gain
- setTargetArea(Shape) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the target
- setTest(I, String) - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
-
Set the image against which the query will be compared to next
- setTextBasePad(int) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setTextColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setTextColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setTextSize(int) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setTextSize(int) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setTextString(String) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set the text string to use.
- setTextStrokeColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setTextStrokeColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisationBasic
-
- setThickness(double) - Method in class org.openimaj.vis.general.AxisConfig.AxisRenderingConfig
-
- setThreadsBeginN_1D_FFT_2Threads(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Sets the minimal size of 1D data for which two threads are used.
- setThreadsBeginN_1D_FFT_4Threads(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Sets the minimal size of 1D data for which four threads are used.
- setThreadsBeginN_2D(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Sets the minimal size of 2D data for which threads are used.
- setThreadsBeginN_3D(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Sets the minimal size of 3D data for which threads are used.
- setThreshold(int) - Method in class org.openimaj.feature.local.matcher.BasicMatcher
-
Set the matching threshold
- setThreshold(int) - Method in class org.openimaj.feature.local.matcher.FastEuclideanKeypointMatcher
-
Set the matching threshold
- setThreshold(int) - Method in class org.openimaj.image.processing.edges.CannyEdgeDetector2
-
Deprecated.
Get the threshold above which an edge pixel will be considered an edge.
- setThreshold(double) - Method in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Set the threshold that will determine a shot boundary.
- setThumbnailSize(int) - Method in class org.openimaj.vis.general.ImageThumbnailPlotter
-
- setTilt(double) - Method in class org.openimaj.hardware.kinect.KinectController
-
Set the tilt to the given angle in degrees
- setTimecodeInMilliseconds(long) - Method in class org.openimaj.audio.timecode.AudioTimecode
-
Set the current timecode to the given time in seconds, converting
as necessary.
- setTimecodeInMilliseconds(long) - Method in interface org.openimaj.time.Timecode
-
Set the current timecode to the given time in seconds, converting
as necessary.
- setTimecodeInMilliseconds(long) - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode
-
Set the current timecode to the given time in seconds, converting
as necessary.
- setTimecodeObject(AudioTimecode) - Method in class org.openimaj.audio.AudioMixer
-
The timecode object
- setTimecodeObject(AudioTimecode) - Method in class org.openimaj.audio.AudioPlayer
-
Set the timecode object that is updated as the audio is played.
- setTimeKeeper(TimeKeeper<? extends Timecode>) - Method in class org.openimaj.video.VideoDisplay
-
Set the timekeeper to use for this video.
- setTimeOffset(long) - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Set the time offset to use in the current time calculation.
- setTimeScalar(double) - Method in class org.openimaj.vis.timeline.Timeline
-
Set the time scalar of this timeline.
- setTitle(List<String>) - Method in interface orgrdfs.sioc.ns.Post
-
- setTitle(List<String>) - Method in class orgrdfs.sioc.ns.PostImpl
-
- setTrackingContext(TrackingContext) - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
Set the tracking context
- setTransform(Matrix) - Method in class org.openimaj.image.feature.local.interest.EllipticInterestPointData
-
- setTransform(Matrix) - Method in class org.openimaj.math.geometry.transforms.HomographyModel
-
Set the transform matrix to the new one
- setTransform(Matrix) - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
- setTransformer(LabelTransformer) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setTransparencyGrid(boolean) - Method in class org.openimaj.image.DisplayUtilities.ImageComponent
-
Set whether to allow drawing of the transparency grid.
- setType(int) - Method in class org.openimaj.image.typography.general.GeneralFont
-
Set the type of the font.
- setTypeJitter(boolean) - Method in class org.openimaj.tools.ocr.FontSimulator
-
Set whether to jitter the font type or not.
- setU(Matrix) - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- setU(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- setUndecorated(boolean) - Method in class org.openimaj.vis.general.JOGLWindow
-
- setUnderlyingStream(AudioStream) - Method in class org.openimaj.audio.processor.AudioProcessor
-
Sets the underlying stream, allowing it to be changed.
- setup() - Method in interface org.openimaj.experiment.RunnableExperiment
-
Setup of the experiment
- setup(Reducer<MAP_OUTPUT_KEY, MAP_OUTPUT_VALUE, OUTPUT_KEY, OUTPUT_VALUE>.Context) - Method in class org.openimaj.hadoop.mapreduce.stage.helper.MultipleOutputReducer
-
- setup(Job) - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
Add any final adjustments to the job's config
- setup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.downloader.DownloadMapper
-
- setup(Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.exif.HadoopEXIF.HadoopEXIFMapper
-
- setup(Reducer<IntWritable, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Combine
-
- setup(Mapper<Text, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Map
-
- setup(Reducer<IntWritable, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Reduce
-
- setup(Mapper<Text, BytesWritable, Text, IntWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureCount.Map
-
- setup(Mapper<Text, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect.Map
-
- setup(Reducer<IntWritable, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect.Reduce
-
- setup(Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect.Map
-
- setup(Reducer<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect.Reduce
-
- setup(Mapper<Text, BytesWritable, Text, Text>.Context) - Method in class org.openimaj.hadoop.tools.sequencefile.index.RecordIndexMapper
-
- setup(Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.DateTwitterPreprocessingMapper
-
- setup(Mapper<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.SimpleTwitterPreprocessingMapper
-
- setup(Mapper<LongWritable, Text, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.Map
-
- setup(Mapper<LongWritable, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.Map
-
- setup(Reducer<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod.NonCombinedTimesReducer
-
- setup(Mapper<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexMapper
-
- setup(Job) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexStage
-
- setup(Mapper<LongWritable, Text, BytesWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmit
-
- setup(Reducer<BytesWritable, BytesWritable, BytesWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEmitCounter
-
- setup(Job) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
- setup(Job) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
- setup(Mapper<BytesWritable, BytesWritable, BytesWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortMapper
-
- setup(Job) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordSort
-
- setup(Job) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.CorrelateWordTimeSeries
-
- setup(Mapper<LongWritable, Text, DoubleWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.PValueWordMapper
-
- setup(Mapper<Text, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordTimeperiodValueMapper
-
- setup(Reducer<Text, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordValueCorrelationReducer
-
- setup(Mapper<Text, BytesWritable, BytesWritable, BooleanWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord.IntersectionUnionMap
-
- setup(Job) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.TimeWordJacardIndex
-
- setup(Mapper<Text, BytesWritable, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.MapValuesByTime
-
- setup(Mapper<Text, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.MapValuesByWord
-
- setup(Reducer<LongWritable, BytesWritable, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.ReduceValuesByTime
-
- setup(Mapper<Text, BytesWritable, Text, LongWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex.Map
-
- setup(Reducer<Text, LongWritable, LongWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex.Reduce
-
- setup(Reducer<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndexSort.Reduce
-
- setup(Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.SpecificWordSelectionMapper
-
- setup(Mapper<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.TwitterPreprocessingMapper
-
- setup() - Method in class org.openimaj.image.processing.face.recognition.benchmarking.CrossValidationBenchmark
-
- setup(ImageCollectionConfig) - Method in interface org.openimaj.tools.imagecollection.collection.ImageCollection
-
Setup this collection using the provided collection config.
- setup(ImageCollectionConfig) - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection
-
- setup(ImageCollectionConfig) - Method in class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection
-
- setup(ImageCollectionConfig) - Method in class org.openimaj.tools.imagecollection.collection.webpage.FlickrWebpageImageCollection
-
- setup() - Method in class org.openimaj.tools.imagecollection.tool.ImageCollectionTool
-
- setup(Java) - Method in class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
- setURI(String) - Method in class org.openimaj.rdf.owl2java.Something
-
Set the URI of this instance.
- setUrl(URI) - Method in class org.openimaj.web.flickr.FlickrImage
-
- setUseFixedBarWidth(boolean) - Method in class org.openimaj.vis.general.BarVisualisation
-
- setUsergroup_of(List<Space>) - Method in interface orgrdfs.sioc.ns.Usergroup
-
- setUsergroup_of(List<Space>) - Method in class orgrdfs.sioc.ns.UsergroupImpl
-
- setValue(T, Long) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.WritableEnumCounter
-
- setValue(T) - Method in interface org.openimaj.util.tree.TreeNode
-
Set the node value
- setValue(T) - Method in class org.openimaj.util.tree.TreeNodeImpl
-
- setValues(Matrix) - Method in class org.openimaj.math.matrix.EigenValueVectorPair
-
Set the Eigen values
- setValueThreshold(float) - Method in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Set the threshold for the maximum value allowed in the histogram (default
0.2)
- setVectors(Matrix) - Method in class org.openimaj.math.matrix.EigenValueVectorPair
-
Set the Eigen vectors
- setVerbosity(int) - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
KLTSetVerbosity
- setVerticalAlignment(FontStyle.VerticalAlignment) - Method in class org.openimaj.image.typography.FontStyle
-
- setW(Matrix) - Method in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- setW(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.MatlibBilinearSparseOnlineLearner
-
- setWidth(int) - Method in class org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery
-
- setWidth(double) - Method in class org.openimaj.vis.general.HeightMap3D
-
Set the width of the rendered map
- setWidthScale(float) - Method in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
- setWindowHeight(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the window height
- setWindowSize(int) - Method in class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Set the size of the window required.
- setWindowStep(int) - Method in class org.openimaj.audio.processor.FixedSizeSampleAudioProcessor
-
Set the step of each overlapping window.
- setWindowWidth(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Set the window width
- setWordCount(int, int) - Method in class org.openimaj.pgm.util.Document
-
sets a word in the document's count.
- setWorkingDirectory(File) - Method in class org.openimaj.util.processes.JavaProcess.ProcessOptions
-
Set the working directory for the JVM.
- setWriteInternalImages(boolean) - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
Enable or disable writing of internal images to disk
- setX(float) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- setX(float) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- setX(float) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- setX(float) - Method in class org.openimaj.image.pixel.Pixel
-
Set x coordinate of point
- setX(float) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- setX(float) - Method in interface org.openimaj.math.geometry.point.Point2d
-
Set x coordinate of point
- setX(float) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- setX(double) - Method in interface org.openimaj.math.geometry.point.Point3d
-
Set x coordinate of point
- setX(double) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- setX(float) - Method in class org.openimaj.math.geometry.shape.Circle
-
Set the x-ordinate of the centre of the circle.
- setX(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.LossFunction
-
- setX(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.MatLossFunction
-
- setX(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.LossFunction
-
- setX(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.MatLossFunction
-
- setX(float) - Method in class org.openimaj.video.tracking.klt.Feature
-
- setxAxisColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxAxisColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setxAxisColour(Float[]) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- setxAxisConfig(AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxAxisLabelTransformer(LabelTransformer) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxAxisName(String) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxAxisName(String) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setXAxisName(String) - Method in class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Set the x axis name
- setxAxisName(String) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- setxAxisNameColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxAxisNameSize(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxAxisPosition(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxAxisThickness(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxLabelSpacing(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxMajorTickSpacing(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxMinorTickSpacing(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setXScale(float) - Method in class org.openimaj.vis.audio.AudioWaveform
-
Set the x-scale at which to draw the waveform.
- setxTickLabelColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setxTickLabelSize(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setY(float) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- setY(float) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- setY(float) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- setY(float) - Method in class org.openimaj.image.pixel.Pixel
-
Set y coordinate of point
- setY(float) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- setY(float) - Method in interface org.openimaj.math.geometry.point.Point2d
-
Set y coordinate of point
- setY(float) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- setY(double) - Method in interface org.openimaj.math.geometry.point.Point3d
-
Set y coordinate of point
- setY(double) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- setY(float) - Method in class org.openimaj.math.geometry.shape.Circle
-
Set the y-ordinate of the centre of the circle.
- setY(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.LossFunction
-
- setY(Matrix) - Method in class org.openimaj.ml.linear.learner.loss.MatLossFunction
-
- setY(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.LossFunction
-
- setY(Matrix) - Method in class org.openimaj.ml.linear.learner.matlib.loss.MatLossFunction
-
- setY(float) - Method in class org.openimaj.video.tracking.klt.Feature
-
- setyAxisColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyAxisColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setyAxisColour(Float[]) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- setyAxisConfig(AxisConfig<Q>) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyAxisLabelTransformer(LabelTransformer) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyAxisName(String) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyAxisName(String) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setYAxisName(String) - Method in class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Set the y axis name
- setyAxisName(String) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- setyAxisNameColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyAxisNameSize(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyAxisThickness(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyLabelSpacing(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyMajorTickSpacing(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyMinorTickSpacing(double) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyTickLabelColour(Q) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setyTickLabelSize(int) - Method in class org.openimaj.vis.general.AxesRenderer2D
-
- setZ(double) - Method in interface org.openimaj.math.geometry.point.Point3d
-
Set z coordinate of point
- setZ(double) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- setzAxisColour(Float[]) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setzAxisColour(Float[]) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- setzAxisName(String) - Method in class org.openimaj.vis.general.BarVisualisation3D
-
- setZAxisName(String) - Method in class org.openimaj.vis.general.ChronologicalScrollingBarVisualisation3D
-
Set the z axis name
- setzAxisName(String) - Method in class org.openimaj.vis.general.XYZVisualisation3D
-
- SGD<MODEL,DATATYPE,PTYPE extends Parameters<PTYPE>> - Class in org.openimaj.workinprogress.optimisation
-
- SGD() - Constructor for class org.openimaj.workinprogress.optimisation.SGD
-
- sh - Variable in class org.openimaj.image.processing.morphology.Dilate
-
- sh - Variable in class org.openimaj.image.processing.morphology.Erode
-
- sh - Variable in class org.openimaj.image.processing.morphology.HitAndMiss
-
- shape - Variable in class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult
-
The updated shape in image coordinates
- shape - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
The current shape
- shape - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
The current shape
- shape - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackerVars
-
The current shape
- Shape - Interface in org.openimaj.math.geometry.shape
-
Interface for classes that represent a shape.
- ShapeFeatures - Enum in org.openimaj.tools.globalfeature
-
Features describing the shape of the foreground object in an image.
- ShapeFeatures.ShapeFeaturesOp - Interface in org.openimaj.tools.globalfeature
-
An object able to perform the execution associated with a ShapeFeatures
type; possibly contains extra options for the operation.
- ShapeModelDataset<IMAGE extends Image<?,IMAGE>> - Interface in org.openimaj.image.model.asm.datasets
-
Dataset representing pairs of images and fixed size sets of points, together
with a set of connections between points which are valid across all
instances.
- ShapeModelDatasets - Class in org.openimaj.image.model.asm.datasets
-
- SharedOptions - Class in org.openimaj.tools.localfeature.options
-
Common options
- SharedOptions() - Constructor for class org.openimaj.tools.localfeature.options.SharedOptions
-
- sharesVertex(Triangle) - Method in class org.openimaj.math.geometry.shape.Triangle
-
Test whether this triangle shares a vertex with another triangle.
- Sharpness - Class in org.openimaj.image.feature.global
-
Sharpness measures the clarity and level of detail of an image.
- Sharpness() - Constructor for class org.openimaj.image.feature.global.Sharpness
-
Construct with no mask set
- Sharpness(FImage) - Constructor for class org.openimaj.image.feature.global.Sharpness
-
Construct with a mask.
- sharpness - Variable in class org.openimaj.image.feature.global.Sharpness
-
- SharpnessExtractor - Class in org.openimaj.tools.globalfeature.type
-
Sharpness
- SharpnessExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.SharpnessExtractor
-
- SharpnessVariation - Class in org.openimaj.image.feature.global
-
Sharpness measures the clarity and level of detail of an image.
- SharpnessVariation() - Constructor for class org.openimaj.image.feature.global.SharpnessVariation
-
Construct with no mask set
- SharpnessVariation(FImage) - Constructor for class org.openimaj.image.feature.global.SharpnessVariation
-
Construct with a mask.
- sharpnessVariation - Variable in class org.openimaj.image.feature.global.SharpnessVariation
-
- SharpPixelProportion - Class in org.openimaj.image.feature.global
-
Implementation of the blur estimation feature described by Ke, Tang and Jing,
and Yeh et al.
- SharpPixelProportion() - Constructor for class org.openimaj.image.feature.global.SharpPixelProportion
-
Construct with a default threshold on Fourier magnitude of 2.0.
- SharpPixelProportion(float) - Constructor for class org.openimaj.image.feature.global.SharpPixelProportion
-
Construct with the given threshold on Fourier magnitude.
- SharpPixelProportionExtractor - Class in org.openimaj.tools.globalfeature.type
-
Sharp pixel proportion
- SharpPixelProportionExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.SharpPixelProportionExtractor
-
- shiftDown() - Method in class org.openimaj.image.Image
-
Returns a new image that is it shifted around the x-ordinates by one
pixel
- shiftDown(int) - Method in class org.openimaj.image.Image
-
Returns a new image that is it shifted around the x-ordinates by the
number of pixels given.
- shiftDownInplace() - Method in class org.openimaj.image.Image
-
Shifts all the pixels down by one pixels
- shiftDownInplace(int) - Method in class org.openimaj.image.Image
-
Shifts all the pixels down by count pixels
- shiftLeft() - Method in class org.openimaj.image.Image
-
Returns a new image that is it shifted around the x-ordinates by one
pixel
- shiftLeft(int) - Method in class org.openimaj.image.Image
-
Returns a new image that is it shifted around the x-ordinates by the
number of pixels given.
- shiftLeftInplace() - Method in class org.openimaj.image.Image
-
Shifts all the pixels to the left by one pixel
- shiftLeftInplace(int) - Method in class org.openimaj.image.Image
-
Shifts all the pixels to the left by count pixel
- shiftLeftInplace(int) - Method in class org.openimaj.image.MultiBandImage
-
- shiftRight() - Method in class org.openimaj.image.Image
-
Returns a new image that is it shifted around the x-ordinates by one
pixel
- shiftRight(int) - Method in class org.openimaj.image.Image
-
Returns a new image that is it shifted around the x-ordinates by the
number of pixels given.
- shiftRightInplace() - Method in class org.openimaj.image.Image
-
Shifts all the pixels to the right by one pixel
- shiftRightInplace(int) - Method in class org.openimaj.image.Image
-
Shifts all the pixels to the right by count pixel
- shiftRightInplace(int) - Method in class org.openimaj.image.MultiBandImage
-
- shiftUp() - Method in class org.openimaj.image.Image
-
Returns a new image that is it shifted around the x-ordinates by one
pixel
- shiftUp(int) - Method in class org.openimaj.image.Image
-
Returns a new image that is it shifted around the x-ordinates by the
number of pixels given.
- shiftUpInplace() - Method in class org.openimaj.image.Image
-
Shifts all the pixels up by one pixel
- shiftUpInplace(int) - Method in class org.openimaj.image.Image
-
Shifts all the pixels up by count pixels
- shiftx - Variable in class org.openimaj.workinprogress.LOCKY
-
- shifty - Variable in class org.openimaj.workinprogress.LOCKY
-
- ShortADCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product
Quantised vectors.
- ShortADCNearestNeighbours(ShortProductQuantiser, short[][]) - Constructor for class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
Construct the ADC with the given quantiser and data points.
- ShortADCNearestNeighbours(ShortProductQuantiser, byte[][], int) - Constructor for class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
Construct the ADC with the given quantiser and pre-quantised data .
- ShortArrayBackedDataSource - Class in org.openimaj.data
-
- ShortArrayBackedDataSource(short[][]) - Constructor for class org.openimaj.data.ShortArrayBackedDataSource
-
Construct with data
- ShortArrayBackedDataSource(short[][], Random) - Constructor for class org.openimaj.data.ShortArrayBackedDataSource
-
Construct with data and a random generator for random sampling
- ShortArrayValueAnimator - Class in org.openimaj.content.animation.animator
-
- ShortArrayValueAnimator(ValueAnimator<Short>...) - Constructor for class org.openimaj.content.animation.animator.ShortArrayValueAnimator
-
- ShortArrayView - Class in org.openimaj.util.array
-
A wrapper around a java short array that allows
views onto the array to be created without the
overhead of maintaining copies of the data.
- ShortArrayView(short[], int, int) - Constructor for class org.openimaj.util.array.ShortArrayView
-
Create a view on the given array from l (inclusive) to
r (exclusive).
- ShortArrayView(short[]) - Constructor for class org.openimaj.util.array.ShortArrayView
-
Create a view on the entirety of the given array.
- ShortArrayView(int) - Constructor for class org.openimaj.util.array.ShortArrayView
-
Create a view on an array of length n.
- ShortBytePair - Class in org.openimaj.util.pair
-
A pair of short and byte types
- ShortBytePair(short, byte) - Constructor for class org.openimaj.util.pair.ShortBytePair
-
Construct pair with given values
- ShortBytePair() - Constructor for class org.openimaj.util.pair.ShortBytePair
-
Construct empty pair
- ShortCauchyFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that use a Cauchy
distribution to approximate L1 distance.
- ShortCauchyFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.ShortCauchyFactory
-
Construct the factory with the given parameters.
- ShortCentroidsResult - Class in org.openimaj.ml.clustering
-
- ShortCentroidsResult() - Constructor for class org.openimaj.ml.clustering.ShortCentroidsResult
-
- ShortDoublePair - Class in org.openimaj.util.pair
-
A pair of short and double types
- ShortDoublePair(short, double) - Constructor for class org.openimaj.util.pair.ShortDoublePair
-
Construct pair with given values
- ShortDoublePair() - Constructor for class org.openimaj.util.pair.ShortDoublePair
-
Construct empty pair
- ShortFloatPair - Class in org.openimaj.util.pair
-
A pair of short and float types
- ShortFloatPair(short, float) - Constructor for class org.openimaj.util.pair.ShortFloatPair
-
Construct pair with given values
- ShortFloatPair() - Constructor for class org.openimaj.util.pair.ShortFloatPair
-
Construct empty pair
- ShortFV - Class in org.openimaj.feature
-
Basic short single-dimensional feature vector implementation
- ShortFV() - Constructor for class org.openimaj.feature.ShortFV
-
Construct an empty feature vector
- ShortFV(int) - Constructor for class org.openimaj.feature.ShortFV
-
Construct empty FV with given number of bins
- ShortFV(short[]) - Constructor for class org.openimaj.feature.ShortFV
-
Construct from flattened values array and dimensions
- ShortFVComparator - Interface in org.openimaj.feature
-
Comparison/distance methods for ShortFV objects.
- ShortFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for ShortFV objects.
- ShortGaussianFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions using Gaussian
distributions to approximate the Euclidean distance.
- ShortGaussianFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.ShortGaussianFactory
-
Construct with the given parameters.
- ShortHammingFactory - Class in org.openimaj.lsh.functions
-
A hash function factory for producing hash functions that approximate the
Hamming distance.
- ShortHammingFactory(int, MersenneTwister, int) - Constructor for class org.openimaj.lsh.functions.ShortHammingFactory
-
Construct a new factory using the given parameters.
- ShortHashFunction - Class in org.openimaj.lsh.functions
-
- ShortHashFunctionFactory - Class in org.openimaj.lsh.functions
-
- ShortHashFunctionFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.ShortHashFunctionFactory
-
- ShortHyperplaneCosineFactory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate cosine
distance using hyperplanes.
- ShortHyperplaneCosineFactory(int, MersenneTwister) - Constructor for class org.openimaj.lsh.functions.ShortHyperplaneCosineFactory
-
Construct with the given arguments.
- ShortHyperplaneL1Factory - Class in org.openimaj.lsh.functions
-
A hash function factory that produces hash functions that approximate L1
(city-block) distance in closed spaces using random axis-aligned hyperplanes.
- ShortHyperplaneL1Factory(int, MersenneTwister, short, short) - Constructor for class org.openimaj.lsh.functions.ShortHyperplaneL1Factory
-
Construct with the given arguments.
- ShortIntPair - Class in org.openimaj.util.pair
-
A pair of short and int types
- ShortIntPair(short, int) - Constructor for class org.openimaj.util.pair.ShortIntPair
-
Construct pair with given values
- ShortIntPair() - Constructor for class org.openimaj.util.pair.ShortIntPair
-
Construct empty pair
- ShortKDTree - Class in org.openimaj.util.tree
-
Immutable KD-Tree implementation for short[] data.
- ShortKDTree(short[][]) - Constructor for class org.openimaj.util.tree.ShortKDTree
-
- ShortKDTree(short[][], ShortKDTree.SplitChooser) - Constructor for class org.openimaj.util.tree.ShortKDTree
-
Construct with the given data and splitting strategy
- ShortKDTree.ApproximateBBFMedianSplit - Class in org.openimaj.util.tree
-
Approximate best-bin-first median splitting.
- ShortKDTree.BasicMedianSplit - Class in org.openimaj.util.tree
-
Basic median split.
- ShortKDTree.BBFMedianSplit - Class in org.openimaj.util.tree
-
Best-bin-first median splitting.
- ShortKDTree.KDTreeNode - Class in org.openimaj.util.tree
-
An internal node of the KDTree
- ShortKDTree.RandomisedBBFMeanSplit - Class in org.openimaj.util.tree
-
Randomised best-bin-first splitting strategy:
Nodes with less than a set number of items become leafs.
- ShortKDTree.SplitChooser - Interface in org.openimaj.util.tree
-
Interface for describing how a branch in the KD-Tree should be created
- ShortKDTreeEnsemble - Class in org.openimaj.knn.approximate
-
Ensemble of Best-Bin-First KDTrees for short data.
- ShortKDTreeEnsemble(short[][]) - Constructor for class org.openimaj.knn.approximate.ShortKDTreeEnsemble
-
Construct a ShortKDTreeEnsemble with the provided data,
using the default of 8 trees.
- ShortKDTreeEnsemble(short[][], int) - Constructor for class org.openimaj.knn.approximate.ShortKDTreeEnsemble
-
Construct a ShortKDTreeEnsemble with the provided data and
number of trees.
- ShortKDTreeEnsemble(short[][], int, int) - Constructor for class org.openimaj.knn.approximate.ShortKDTreeEnsemble
-
Construct a ShortKDTreeEnsemble with the provided data and
number of trees.
- ShortKDTreeEnsemble.ShortKDTreeNode - Class in org.openimaj.knn.approximate
-
An internal node of the KDTree
- ShortKDTreeNode() - Constructor for class org.openimaj.knn.approximate.ShortKDTreeEnsemble.ShortKDTreeNode
-
Construct a new node
- ShortKDTreeNode(short[][], IntArrayView, Uniform) - Constructor for class org.openimaj.knn.approximate.ShortKDTreeEnsemble.ShortKDTreeNode
-
Construct a new node with the given data
- ShortKMeans - Class in org.openimaj.ml.clustering.kmeans
-
Fast, parallel implementation of the K-Means algorithm with support for
bigger-than-memory data.
- ShortKMeans(KMeansConfiguration<ShortNearestNeighbours, short[]>) - Constructor for class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
Construct the clusterer with the the given configuration.
- ShortKMeans() - Constructor for class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
A completely default
ShortKMeans
used primarily as a convenience function for reading.
- ShortKMeans.Result - Class in org.openimaj.ml.clustering.kmeans
-
Result object for ShortKMeans, extending ShortCentroidsResult and ShortNearestNeighboursProvider,
as well as giving access to state information from the operation of the K-Means algorithm
(i.e.
- ShortKMeansInit - Class in org.openimaj.ml.clustering.kmeans
-
Initialisation for K-Means clustering.
- ShortKMeansInit() - Constructor for class org.openimaj.ml.clustering.kmeans.ShortKMeansInit
-
- ShortKMeansInit.RANDOM - Class in org.openimaj.ml.clustering.kmeans
-
Simple kmeans initialized on randomly selected samples.
- ShortKNNAssigner - Class in org.openimaj.ml.clustering.assignment.soft
-
A
SoftAssigner
that picks a fixed number of nearest neighbours.
- ShortKNNAssigner(CentroidsProvider<short[]>, boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
Construct the assigner using the given cluster data.
- ShortKNNAssigner(short[][], boolean, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
Construct the assigner using the given cluster data.
- ShortKNNAssigner(CentroidsProvider<short[]>, ShortFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- ShortKNNAssigner(short[][], ShortFVComparison, int) - Constructor for class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
Construct the assigner using the given cluster data and
distance function.
- ShortLongPair - Class in org.openimaj.util.pair
-
A pair of short and long types
- ShortLongPair(short, long) - Constructor for class org.openimaj.util.pair.ShortLongPair
-
Construct pair with given values
- ShortLongPair() - Constructor for class org.openimaj.util.pair.ShortLongPair
-
Construct empty pair
- ShortLSHSketcher<OBJECT> - Class in org.openimaj.lsh.sketch
-
A
Sketcher
that produces bit-string sketches encoded as short arrays.
- ShortLSHSketcher(List<HashFunction<OBJECT>>) - Constructor for class org.openimaj.lsh.sketch.ShortLSHSketcher
-
Construct with the given functions.
- ShortLSHSketcher(HashFunction<OBJECT>, HashFunction<OBJECT>...) - Constructor for class org.openimaj.lsh.sketch.ShortLSHSketcher
-
Construct with the given functions.
- ShortLSHSketcher(HashFunctionFactory<OBJECT>, int) - Constructor for class org.openimaj.lsh.sketch.ShortLSHSketcher
-
Construct with the factory which is used to produce the required number
of functions.
- ShortNearestNeighbours - Class in org.openimaj.knn
-
Abstract base class for k-nearest-neighbour calculations with short[] data.
- ShortNearestNeighbours() - Constructor for class org.openimaj.knn.ShortNearestNeighbours
-
- ShortNearestNeighboursExact - Class in org.openimaj.knn
-
Exact (brute-force) k-nearest-neighbour implementation.
- ShortNearestNeighboursExact(short[][]) - Constructor for class org.openimaj.knn.ShortNearestNeighboursExact
-
Construct the ShortNearestNeighboursExact over the provided
dataset and using Euclidean distance.
- ShortNearestNeighboursExact(short[][], ShortFVComparator) - Constructor for class org.openimaj.knn.ShortNearestNeighboursExact
-
Construct the ShortNearestNeighboursExact over the provided
dataset with the given distance function.
- ShortNearestNeighboursExact.Factory - Class in org.openimaj.knn
-
- ShortNearestNeighboursKDTree - Class in org.openimaj.knn.approximate
-
Fast Nearest-Neighbours for short data using an ensemble of Best-Bin-First KDTrees.
- ShortNearestNeighboursKDTree(short[][], int, int) - Constructor for class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
Construct the ShortNearestNeighboursKDTree with the given options.
- ShortNearestNeighboursKDTree.Factory - Class in org.openimaj.knn.approximate
-
- ShortNearestNeighboursProvider - Interface in org.openimaj.knn
-
Interface for classes able to expose a k-nearest-neighbour object.
- ShortObjectPair<Q> - Class in org.openimaj.util.pair
-
A pair of short and a generic type
- ShortObjectPair(short, Q) - Constructor for class org.openimaj.util.pair.ShortObjectPair
-
Construct pair with given values
- ShortObjectPair() - Constructor for class org.openimaj.util.pair.ShortObjectPair
-
Construct empty pair
- ShortProductQuantiser - Class in org.openimaj.knn.pq
-
Implementation of a Product Quantiser for vectors/arrays of shorts.
- ShortProductQuantiser(ShortNearestNeighboursExact[]) - Constructor for class org.openimaj.knn.pq.ShortProductQuantiser
-
- ShortProductQuantiserUtilities - Class in org.openimaj.knn.pq
-
- ShortPStableFactory - Class in org.openimaj.lsh.functions
-
Base class for hashing schemes based on P-Stable distributions.
- ShortPStableFactory(int, MersenneTwister, double) - Constructor for class org.openimaj.lsh.functions.ShortPStableFactory
-
Construct with the given parameters.
- ShortPStableFactory.PStableFunction - Class in org.openimaj.lsh.functions
-
- ShortSDCNearestNeighbours - Class in org.openimaj.knn.pq
-
Nearest-neighbours using Symmetric Distance Computation (SDC) on Product
Quantised vectors.
- ShortSDCNearestNeighbours(ShortProductQuantiser, short[][][], short[][]) - Constructor for class org.openimaj.knn.pq.ShortSDCNearestNeighbours
-
Construct the SDC with the given quantiser, centroids (corresponding to
the quantiser's internal assigners), and data.
- ShortShortPair - Class in org.openimaj.util.pair
-
A pair of short and short types
- ShortShortPair(short, short) - Constructor for class org.openimaj.util.pair.ShortShortPair
-
Construct pair with given values
- ShortShortPair() - Constructor for class org.openimaj.util.pair.ShortShortPair
-
Construct empty pair
- ShotBoundary<T extends Image<?,T>> - Class in org.openimaj.video.processing.shotdetector
-
A class for encapsulating shot boundary information.
- ShotBoundary(VideoTimecode) - Constructor for class org.openimaj.video.processing.shotdetector.ShotBoundary
-
Construct a shot boundary using the given video timecode.
- ShotBoundaryVideoBarVisualisation - Class in org.openimaj.vis.video
-
Will display a video in a timeline with shot detections marked on it.
- ShotBoundaryVideoBarVisualisation(Video<MBFImage>) - Constructor for class org.openimaj.vis.video.ShotBoundaryVideoBarVisualisation
-
Default constructor that takes the video to visualise
- shotDetected(ShotBoundary<T>, VideoKeyframe<T>) - Method in interface org.openimaj.video.processing.shotdetector.ShotDetectedListener
-
Called when a shot is detected by the shot detector with the
shot boundary definition and an associated key frame.
- ShotDetectedListener<T extends Image<?,T>> - Interface in org.openimaj.video.processing.shotdetector
-
Interface for objects that wish to listen to shot detections from
the shot detector.
- shouldStopIterations(int) - Method in class org.openimaj.math.model.fit.RANSAC.BestFitStoppingCondition
-
- shouldStopIterations(int) - Method in class org.openimaj.math.model.fit.RANSAC.NumberInliersStoppingCondition
-
- shouldStopIterations(int) - Method in class org.openimaj.math.model.fit.RANSAC.ProbabilisticMinInliersStoppingCondition
-
- shouldStopIterations(int) - Method in interface org.openimaj.math.model.fit.RANSAC.StoppingCondition
-
Should we stop iterating and return the model?
- shouldWait() - Method in class org.openimaj.hadoop.mapreduce.StageRunner
-
- shouldWait() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingTool
-
- showComplex_1D(double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
, assuming that it is 1D complex
array.
- showComplex_2D(int, int, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
, assuming that it is 2D complex
array.
- showComplex_3D(int, int, int, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
, assuming that it is 3D complex
array.
- showComplex_3D(int, int, int, double[][][], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
.
- showComplex_3D(int, int, int, float[], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
, assuming that it is 3D complex
array.
- showFrame() - Method in class org.openimaj.video.VideoPlayer
-
Shows the video player in a frame.
- showReal_1D(double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
, assuming that it is 1D real array.
- showReal_2D(int, int, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
, assuming that it is 2D real array.
- showReal_3D(int, int, int, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
, assuming that it is 3D real array.
- showReal_3D(int, int, int, double[][][], String) - Static method in class edu.emory.mathcs.utils.IOUtils
-
Displays elements of x
.
- showWindow(int, int) - Method in class org.openimaj.vis.general.JOGLWindow
-
Force an initialisation of the window.
- showWindow(String) - Method in class org.openimaj.vis.VisualisationImpl
-
Show a window containing this visualisation
- shutdown() - Method in class org.openimaj.text.nlp.geocode.GeonamesIndexGenerator
-
Shutdown function for cleaning up instantiated object.
- shutdownFreenect() - Static method in class org.openimaj.hardware.kinect.KinectController
-
Completely shutdown the context.
- si - Variable in class org.openimaj.image.feature.local.interest.EllipticKeyPoint
-
- SIFTFeatureProvider - Class in org.openimaj.image.feature.local.descriptor.gradient
-
An extractor for SIFT features.
- SIFTFeatureProvider() - Constructor for class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- SIFTFeatureProvider(int, int) - Constructor for class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- SIFTFeatureProvider(int, int, float, float) - Constructor for class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- SIFTGeoConverter - Class in org.openimaj.tools.localfeature
-
Simple tool to batch convert files in siftgeo format to lowe's sift format.
- SIFTGeoConverter() - Constructor for class org.openimaj.tools.localfeature.SIFTGeoConverter
-
- SIFTGeoKeypoint - Class in org.openimaj.image.feature.local.keypoints
-
Implementation of a
LocalFeature
based on the .siftgeo format
developed by Krystian Mikolajczyk for his tools.
- SIFTGeoKeypoint(int) - Constructor for class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
Construct with the location set to zero, and with an empty descriptor of
the given length.
- SIFTGeoKeypoint(float, float, float, float, float, Matrix, byte[]) - Constructor for class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
Construct with the given parameters
- SIFTGeoKeypoint.SIFTGeoLocation - Class in org.openimaj.image.feature.local.keypoints
-
- SIFTGeoLocation(float, float, float, float, float, Matrix) - Constructor for class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
Construct with the given parameters
- SIFTGeoLocation() - Constructor for class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint.SIFTGeoLocation
-
Default constructor.
- SIFTTrendFeatureMode - Class in org.openimaj.picslurper.client
-
- SIFTTrendFeatureMode() - Constructor for class org.openimaj.picslurper.client.SIFTTrendFeatureMode
-
- SIG_ATOMIC_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- SIG_ATOMIC_MIN - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- sigma - Variable in class org.openimaj.image.saliency.AchantaSaliency
-
- sigma - Variable in class org.openimaj.image.segmentation.FelzenszwalbHuttenlocherSegmenter
-
- sigmaSq2 - Variable in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
2 times the weighting Gaussian squared (normalised to the patch size in
terms of spatial bins)
- sign(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
For each element of X, sign(X) returns 1 if the element is greater than zero,
0 if it equals zero and -1 if it is less than zero.
- sign - Variable in class org.openimaj.ml.classification.StumpClassifier
-
The sign of the stump (determines which side of the threshold corresponds
to positive)
- SignProgrammer - Class in org.openimaj.workinprogress
-
- SignProgrammer() - Constructor for class org.openimaj.workinprogress.SignProgrammer
-
- signTest() - Method in class org.lemurproject.ireval.SetRetrievalComparator
-
- similarity() - Method in class org.openimaj.ml.clustering.spectral.DoubleFVSimilarityFunction
-
- similarity() - Method in class org.openimaj.ml.clustering.spectral.NormalisedSimilarityDoubleClustererWrapper
-
- similarity() - Method in class org.openimaj.ml.clustering.spectral.RBFSimilarityDoubleClustererWrapper
-
- SimilarityClusterer<CLUSTERS extends IndexClusters> - Interface in org.openimaj.ml.clustering
-
- SimilarityDBSCAN - Class in org.openimaj.ml.clustering.dbscan
-
- SimilarityDBSCAN(double, int) - Constructor for class org.openimaj.ml.clustering.dbscan.SimilarityDBSCAN
-
- SimilarityMatrix - Class in org.openimaj.math.matrix.similarity
-
A similarity matrix is a square matrix with an associated index.
- SimilarityMatrix() - Constructor for class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Construct an empty similarity matrix.
- SimilarityMatrix(int) - Constructor for class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Construct a similarity matrix with the given size
and allocate the index accordingly.
- SimilarityMatrix(String[]) - Constructor for class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Construct a similarity matrix with the given index
and set the matrix size based on the index length.
- SimilarityMatrix(String[], Matrix) - Constructor for class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Construct a similarity matrix based on the given index
and matrix.
- SimilarityMatrix(String[], double[][]) - Constructor for class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Construct a similarity matrix based on the given index
and matrix data.
- SimilarityMatrixProcessor - Interface in org.openimaj.math.matrix.similarity.processor
-
- SimilarityMatrixTool - Class in org.openimaj.tools.similaritymatrix
-
- SimilarityMatrixTool() - Constructor for class org.openimaj.tools.similaritymatrix.SimilarityMatrixTool
-
- SimilarityMatrixToolOptions - Class in org.openimaj.tools.similaritymatrix
-
- SimilarityMatrixToolOptions() - Constructor for class org.openimaj.tools.similaritymatrix.SimilarityMatrixToolOptions
-
- SimilarityMatrixToolOptions.Mode - Enum in org.openimaj.tools.similaritymatrix
-
- SimpleBlockStrategy - Class in org.openimaj.image.analysis.algorithm.histogram.binning
-
A
SpatialBinningStrategy
that extracts histograms from a number of
equally-sized, non-overlapping within the sample region and concatenates them
together.
- SimpleBlockStrategy(int) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.binning.SimpleBlockStrategy
-
Construct with the given number of blocks in both the x and y directions.
- SimpleBlockStrategy(int, int) - Constructor for class org.openimaj.image.analysis.algorithm.histogram.binning.SimpleBlockStrategy
-
Construct with the given number of blocks in the x and y directions.
- SimpleComposition<OBJECT> - Class in org.openimaj.util.hash.composition
-
Simple composition function.
- SimpleComposition(List<HashFunction<OBJECT>>) - Constructor for class org.openimaj.util.hash.composition.SimpleComposition
-
Construct with the given functions.
- SimpleComposition(HashFunction<OBJECT>, HashFunction<OBJECT>...) - Constructor for class org.openimaj.util.hash.composition.SimpleComposition
-
Construct with the given functions.
- SimpleComposition(HashFunctionFactory<OBJECT>, int) - Constructor for class org.openimaj.util.hash.composition.SimpleComposition
-
Construct with the factory which is used to produce the required number
of functions.
- SimpleCorpusReader - Class in org.openimaj.pgm.util
-
A corpus from a document whose lines are documents and whose words are
seperated by a space
- SimpleCorpusReader(InputStream) - Constructor for class org.openimaj.pgm.util.SimpleCorpusReader
-
- SimpleDetectedFaceRenderer - Class in org.openimaj.image.processing.face.util
-
Draws the bounding box detected
- SimpleDetectedFaceRenderer() - Constructor for class org.openimaj.image.processing.face.util.SimpleDetectedFaceRenderer
-
- SimpleEdge<VERTEX> - Class in org.openimaj.math.graph
-
A simple representation of a graph edge with public accessors
for fast access.
- SimpleEdge() - Constructor for class org.openimaj.math.graph.SimpleEdge
-
- SimpleHTMLScrapingConsumer - Class in org.openimaj.web.scraping
-
Simple scraper that just uses the given css selector to find all
relevant data in the page
- SimpleHTMLScrapingConsumer(String, String) - Constructor for class org.openimaj.web.scraping.SimpleHTMLScrapingConsumer
-
- SimpleKestrelClient - Class in org.openimaj.kestrel
-
A simple Kestrel client taken from
https://github.com/hogelog/simple-kestrel-client by Hogelog.
- SimpleKestrelClient(String, int) - Constructor for class org.openimaj.kestrel.SimpleKestrelClient
-
- SimpleKestrelClient(InetSocketAddress) - Constructor for class org.openimaj.kestrel.SimpleKestrelClient
-
initialise a Client
instance using ServiceFactory
from a
ClientBuilder
- SimpleLSHDuplicatesFinder - Class in org.openimaj.hadoop.tools.image.indexing
-
- SimpleLSHDuplicatesFinder() - Constructor for class org.openimaj.hadoop.tools.image.indexing.SimpleLSHDuplicatesFinder
-
- SimpleMEAnalysis - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
- SimpleMEAnalysis() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEAnalysis
-
- SimpleMEClusterAnalyser - Class in org.openimaj.experiment.evaluation.cluster.analyser
-
A set of measures used to evaluate clustering.
- SimpleMEClusterAnalyser() - Constructor for class org.openimaj.experiment.evaluation.cluster.analyser.SimpleMEClusterAnalyser
-
- SimpleModelFitting<I,D,M extends EstimatableModel<I,D>> - Class in org.openimaj.math.model.fit
-
Example robust fitting, that simply wraps the models estimate method.
- SimpleModelFitting(M, ResidualCalculator<I, D, M>, double) - Constructor for class org.openimaj.math.model.fit.SimpleModelFitting
-
Creates a SimpleModelFitting object to fit data to a model
- SimpleModelFitting(M, ResidualCalculator<I, D, M>, DistanceCheck) - Constructor for class org.openimaj.math.model.fit.SimpleModelFitting
-
Creates a SimpleModelFitting object to fit data to a model
- SimpleMosaic - Class in org.openimaj.demos
-
Demonstration of building an image mosiac
- SimpleMosaic() - Constructor for class org.openimaj.demos.SimpleMosaic
-
- SimpleOCR - Class in org.openimaj.image.ocr
-
Really simple (arabic numerical) OCR engine, specifically designed to extract
the date and time from the GlacsWeb timelapse images
here.
- SimpleOCR() - Constructor for class org.openimaj.image.ocr.SimpleOCR
-
Construct the engine and load the templates.
- SimplePerceptron - Class in org.openimaj.ml.linear.learner.perceptron
-
- SimplePerceptron() - Constructor for class org.openimaj.ml.linear.learner.perceptron.SimplePerceptron
-
- SimplePyramid<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.analysis.pyramid
-
A simple image pyramid built as a stack of images.
- SimplePyramid(float) - Constructor for class org.openimaj.image.analysis.pyramid.SimplePyramid
-
Construct a pyramid with the given scale factor.
- SimplePyramid(float, int) - Constructor for class org.openimaj.image.analysis.pyramid.SimplePyramid
-
Construct a pyramid with the given scale factor and number of levels.
- SimplePyramid(float, Processor<IMAGE>) - Constructor for class org.openimaj.image.analysis.pyramid.SimplePyramid
-
Construct a pyramid with the given scale factor.
- SimplePyramid(float, int, Processor<IMAGE>) - Constructor for class org.openimaj.image.analysis.pyramid.SimplePyramid
-
Construct a pyramid with the given scale factor and number of levels.
- SimpleSequenceFileStage<INPUT_KEY,INPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- SimpleSequenceFileStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.SimpleSequenceFileStage
-
- SimpleSequenceFileTextStage<INPUT_KEY,INPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- SimpleSequenceFileTextStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.SimpleSequenceFileTextStage
-
- SimpleSpout - Class in org.openimaj.storm.spout
-
This class just overrides some methods from IRichSpout so that you don't need
to override them if you extend it.
- SimpleSpout() - Constructor for class org.openimaj.storm.spout.SimpleSpout
-
- simpleSusan(FImage, double, double) - Static method in class org.openimaj.image.processing.edges.SUSANEdgeDetector
-
Performs the simple SUSAN edge detection.
- SimpleTwitterPreprocessingMapper - Class in org.openimaj.hadoop.tools.twitter
-
- SimpleTwitterPreprocessingMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.SimpleTwitterPreprocessingMapper
-
- SimpleWeightedEdge<VERTEX> - Class in org.openimaj.math.graph
-
A simple weighted edge representation
- SimpleWeightedEdge() - Constructor for class org.openimaj.math.graph.SimpleWeightedEdge
-
- simplicity - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
-
- Simulation - Class in org.openimaj.image.neardups.sim
-
- Simulation(int) - Constructor for class org.openimaj.image.neardups.sim.Simulation
-
- SimulationDriver - Class in org.openimaj.image.neardups
-
- SimulationDriver() - Constructor for class org.openimaj.image.neardups.SimulationDriver
-
- simulationOrder - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationExtractor
-
The list of simulation parameters in the order the simulations were
performed
- simulations - Variable in class org.openimaj.image.neardups.sim.ComboSimulation
-
- SineOscillator() - Constructor for class org.openimaj.audio.generation.Oscillator.SineOscillator
-
- SingleBandImage<Q extends Comparable<Q>,I extends SingleBandImage<Q,I>> - Class in org.openimaj.image
-
A base class for representing a single band image of any pixel type.
- SingleBandImage() - Constructor for class org.openimaj.image.SingleBandImage
-
- SinglebandImageProcessor<T,S extends Image<T,S>> - Interface in org.openimaj.image.processor
-
- SinglebandImageProcessor.Processable<T,S extends Image<T,S>,I extends Image<?,I>> - Interface in org.openimaj.image.processor
-
- SinglebandKernelProcessor<T,I extends Image<T,I>> - Interface in org.openimaj.image.processor
-
A KernelProcessor for single band images.
- SinglebandKernelProcessor.Processable<T,S extends Image<T,S>,I extends Image<?,I>> - Interface in org.openimaj.image.processor
-
Interfaces for objects that allow themselves to be processed by a
SinglebandKernelProcessor.
- SinglebandPixelProcessor<Q> - Interface in org.openimaj.image.processor
-
A pixel processor for single band images.
- singleEvaluation(SetRetrievalEvaluator, boolean) - Static method in class org.lemurproject.ireval.IREval
-
Returns an output string very similar to that of trec_eval.
- SingleGaussianPixelModel - Class in org.openimaj.image.model.pixel
-
- SingleGaussianPixelModel(int) - Constructor for class org.openimaj.image.model.pixel.SingleGaussianPixelModel
-
Construct with the given number of dimensions.
- SingleImageTransferResidual2d<M extends Model<Point2d,Point2d>> - Class in org.openimaj.math.geometry.transforms.residuals
-
Compute the 2d geometric Single Image Transfer residual.
- SingleImageTransferResidual2d() - Constructor for class org.openimaj.math.geometry.transforms.residuals.SingleImageTransferResidual2d
-
- singleQuery(String, RetrievalEvaluator) - Static method in class org.lemurproject.ireval.IREval
-
Returns an output string very similar to that of trec_eval.
- SingleStagedJob - Class in org.openimaj.hadoop.mapreduce
-
- SingleStagedJob(Path[], Path) - Constructor for class org.openimaj.hadoop.mapreduce.SingleStagedJob
-
- SingleStagedJob(Stage<?, ?, ?, ?, ?, ?, ?, ?>, Path[], Path) - Constructor for class org.openimaj.hadoop.mapreduce.SingleStagedJob
-
- SingleValueInitStrat - Class in org.openimaj.ml.linear.learner.init
-
- SingleValueInitStrat(double) - Constructor for class org.openimaj.ml.linear.learner.init.SingleValueInitStrat
-
- SingleValueInitStrat - Class in org.openimaj.ml.linear.learner.matlib.init
-
- SingleValueInitStrat(double) - Constructor for class org.openimaj.ml.linear.learner.matlib.init.SingleValueInitStrat
-
- singularityDistance - Variable in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- SingularValues - Class in ch.akuhn.matrix.eigenvalues
-
Compute the Singular Value Decomposition.
- SingularValues(Matrix, int) - Constructor for class ch.akuhn.matrix.eigenvalues.SingularValues
-
Construct with the given matrix and required number of S.V.s
- Site - Interface in orgrdfs.sioc.ns
-
A Site can be the location of an online community or set of communities, with
UserAccounts and Usergroups creating Items in a set of Containers.
- SiteImpl - Class in orgrdfs.sioc.ns
-
A Site can be the location of an online community or set of communities, with
UserAccounts and Usergroups creating Items in a set of Containers.
- SiteImpl() - Constructor for class orgrdfs.sioc.ns.SiteImpl
-
- siteSpecific - Static variable in class org.openimaj.picslurper.StatusConsumer
-
the site specific consumers
- siteSpecific - Variable in class org.openimaj.stream.functions.SiteSpecificURLExtractor
-
the site specific consumers
- SiteSpecificConsumer - Interface in org.openimaj.web.scraping
-
Site specific consumers answer whether they can handle a URL and when asked
handle the URL, returning another URL from which the data can be downloaded.
- SiteSpecificURLExtractor - Class in org.openimaj.stream.functions
-
This class implements a function that will given an input URL outputs a list
of URLs based on applying a list of
SiteSpecificConsumer
s to the
input.
- SiteSpecificURLExtractor(List<SiteSpecificConsumer>) - Constructor for class org.openimaj.stream.functions.SiteSpecificURLExtractor
-
Construct with the given list of consumers.
- SiteSpecificURLExtractor(SiteSpecificConsumer...) - Constructor for class org.openimaj.stream.functions.SiteSpecificURLExtractor
-
Construct with the given consumers.
- SiteSpecificURLExtractor() - Constructor for class org.openimaj.stream.functions.SiteSpecificURLExtractor
-
Construct with empty list of consumers.
- size() - Method in class ch.akuhn.matrix.DenseVector
-
- size() - Method in class ch.akuhn.matrix.SparseVector
-
- size() - Method in class ch.akuhn.matrix.Vector
-
- size() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns the size of this buffer.
- size() - Method in interface org.openimaj.audio.samples.SampleBuffer
-
Returns the size of this buffer.
- size() - Method in class org.openimaj.audio.samples.SampleBuffer16Bit
-
Returns the size of this buffer.
- size() - Method in class org.openimaj.audio.samples.SampleBuffer8Bit
-
Returns the size of this buffer.
- size() - Method in class org.openimaj.data.AbstractMultiListDataSource
-
- size() - Method in class org.openimaj.data.ArrayBackedDataSource
-
- size() - Method in class org.openimaj.data.ByteArrayBackedDataSource
-
- size() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- size() - Method in class org.openimaj.data.dataset.ReadableListDataset
-
- size() - Method in interface org.openimaj.data.DataSource
-
- size() - Method in class org.openimaj.data.DoubleArrayBackedDataSource
-
- size() - Method in class org.openimaj.data.FloatArrayBackedDataSource
-
- size() - Method in class org.openimaj.data.IndexedViewDataSource
-
- size() - Method in class org.openimaj.data.IntArrayBackedDataSource
-
- size() - Method in class org.openimaj.data.LongArrayBackedDataSource
-
- size() - Method in class org.openimaj.data.ShortArrayBackedDataSource
-
- size() - Method in class org.openimaj.image.analysis.watershed.Component
-
The size of the component (i.e.
- size - Variable in class org.openimaj.image.feature.local.interest.EllipticKeyPoint
-
- size - Variable in class org.openimaj.image.processing.face.alignment.CLMAligner
-
- size() - Method in class org.openimaj.image.processing.morphology.StructuringElement
-
Get the size of the structuring element in the form [width, height, x, y]
- size() - Method in class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree
-
- size() - Method in class org.openimaj.knn.approximate.DoubleNearestNeighboursKDTree
-
- size() - Method in class org.openimaj.knn.approximate.FloatNearestNeighboursKDTree
-
- size() - Method in class org.openimaj.knn.approximate.IntNearestNeighboursKDTree
-
- size() - Method in class org.openimaj.knn.approximate.LongNearestNeighboursKDTree
-
- size() - Method in class org.openimaj.knn.approximate.ShortNearestNeighboursKDTree
-
- size() - Method in class org.openimaj.knn.ByteNearestNeighboursExact
-
- size() - Method in class org.openimaj.knn.DoubleNearestNeighboursExact
-
- size() - Method in class org.openimaj.knn.FloatNearestNeighboursExact
-
- size() - Method in class org.openimaj.knn.IntNearestNeighboursExact
-
- size() - Method in class org.openimaj.knn.LongNearestNeighboursExact
-
- size() - Method in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- size() - Method in interface org.openimaj.knn.NearestNeighbours
-
Get the size of the dataset
- size() - Method in class org.openimaj.knn.ObjectNearestNeighboursExact
-
- size() - Method in class org.openimaj.knn.pq.ByteADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.DoubleADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.FloatADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.IncrementalByteADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.IncrementalDoubleADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.IncrementalFloatADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.IncrementalIntADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.IncrementalLongADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.IncrementalShortADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.IntADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.LongADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.pq.ShortADCNearestNeighbours
-
- size() - Method in class org.openimaj.knn.ShortNearestNeighboursExact
-
- size() - Method in class org.openimaj.math.geometry.point.PointList
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.ConstrainedFloatAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactByteAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactDoubleAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFeatureVectorAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactFloatAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactIntAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactLongAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.ExactShortAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeByteEuclideanAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeDoubleEuclideanAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeFloatEuclideanAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeIntEuclideanAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeLongEuclideanAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.hard.KDTreeShortEuclideanAssigner
-
- size() - Method in interface org.openimaj.ml.clustering.assignment.HardAssigner
-
The number of centroids or unique ids that can be generated.
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.ByteKNNAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.DoubleKNNAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.FloatKNNAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalBytePathAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalDoublePathAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalFloatPathAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalIntPathAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalLongPathAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.HierarchicalShortPathAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.IntKNNAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.LongKNNAssigner
-
- size() - Method in class org.openimaj.ml.clustering.assignment.soft.ShortKNNAssigner
-
- size() - Method in interface org.openimaj.ml.clustering.assignment.SoftAssigner
-
The number of clusters.
- size() - Method in class org.openimaj.ml.clustering.rac.IntRAC
-
The number of centroids; this potentially grows as assignments are made.
- size() - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
-
- size() - Method in class org.openimaj.ml.linear.data.MatlabFileDataGenerator
-
- size() - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- size() - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- size() - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- size() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- size() - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- size() - Method in class org.openimaj.pgm.util.Corpus
-
- size() - Method in class org.openimaj.tools.clusterquantiser.FeatureFile
-
- size() - Method in class org.openimaj.tools.clusterquantiser.MemoryFeatureFile
-
- size() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchByteDataSource
-
- size() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatchIntDataSource
-
- size() - Method in class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
- size() - Method in class org.openimaj.util.array.ByteArrayView
-
Get the size (number of elements) in the view.
- size() - Method in class org.openimaj.util.array.DoubleArrayView
-
Get the size (number of elements) in the view.
- size() - Method in class org.openimaj.util.array.FloatArrayView
-
Get the size (number of elements) in the view.
- size() - Method in class org.openimaj.util.array.IntArrayView
-
Get the size (number of elements) in the view.
- size() - Method in class org.openimaj.util.array.LongArrayView
-
Get the size (number of elements) in the view.
- size() - Method in class org.openimaj.util.array.ShortArrayView
-
Get the size (number of elements) in the view.
- size() - Method in class org.openimaj.util.array.SparseByteArray
-
- size() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- size() - Method in class org.openimaj.util.array.SparseFloatArray
-
- size() - Method in class org.openimaj.util.array.SparseIntArray
-
- size() - Method in class org.openimaj.util.array.SparseLongArray
-
- size() - Method in class org.openimaj.util.array.SparseShortArray
-
- size() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Returns the number of elements in this queue.
- size - Variable in class org.openimaj.util.list.AbstractFileBackedList
-
- size() - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- size - Variable in class org.openimaj.util.list.AbstractStreamBackedList
-
The size of the list
- size() - Method in class org.openimaj.util.list.AbstractStreamBackedList
-
- size() - Method in class org.openimaj.util.list.AcceptingListView
-
- size() - Method in class org.openimaj.util.list.ConcatenatedList
-
- size() - Method in class org.openimaj.util.list.SkippingListView
-
- size() - Method in class org.openimaj.util.set.DisjointSetForest
-
- size(T) - Method in class org.openimaj.util.set.DisjointSetForest
-
Get the size of a subset
- size - Variable in class org.openimaj.vis.general.DotPlotVisualisation.ColouredDot
-
The size of the dot
- SIZE_MAX - Static variable in class org.openimaj.hardware.kinect.freenect.libfreenectLibrary
-
- sizeSuffixes - Static variable in class org.openimaj.web.flickr.FlickrImage
-
The allowable size suffixes
- sizeX - Variable in class org.openimaj.image.processing.threshold.AbstractLocalThreshold
-
- sizeY - Variable in class org.openimaj.image.processing.threshold.AbstractLocalThreshold
-
- Skeleton - Class in org.openimaj.image.processing.morphology
-
Morphological skeletonisation of connected components
and (assumed binary) FImages.
- Skeleton(StructuringElement...) - Constructor for class org.openimaj.image.processing.morphology.Skeleton
-
- Skeleton() - Constructor for class org.openimaj.image.processing.morphology.Skeleton
-
Construct the skeleton operator
- sketch(Keypoint) - Method in class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.Sketcher
-
- Sketcher() - Constructor for class org.openimaj.hadoop.tools.image.indexing.HadoopSiftLSHExtractor.Sketcher
-
- Sketcher<IN,OUT> - Interface in org.openimaj.util.sketch
-
A sketch is a lightweight summary of an object.
- SkewCorrector - Class in org.openimaj.image.processing.transform
-
Uses the Hough transform (for lines) to attempt to find the skew of the image
and unskews it using a basic skew transform.
- SkewCorrector() - Constructor for class org.openimaj.image.processing.transform.SkewCorrector
-
- skipEigenVectors - Variable in class org.openimaj.ml.clustering.spectral.SpectralClusteringConf
-
- skipLine(Scanner, Header, int) - Static method in class org.openimaj.tools.clusterquantiser.AsciiInterestPoint
-
- SkippingListView<T> - Class in org.openimaj.util.list
-
A read-only view on a list with a set of indices from the
underlying list that must be skipped.
- SkippingListView(List<T>, int...) - Constructor for class org.openimaj.util.list.SkippingListView
-
Construct with the underlying list and a set of
indices to skip.
- skipPom - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
Skip generation of the maven pom
- sleep(long) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Causes the currently executing thread to sleep (temporarily cease
execution) for the specified number of milliseconds.
- sleepTime - Variable in class org.openimaj.rdf.storm.tool.topology.LocalTopologyMode
-
Time to wait in local mode
- Slide - Interface in org.openimaj.content.slideshow
-
A slide that can be displayed by a
Slideshow
.
- slideHeight - Variable in class org.openimaj.content.slideshow.Slideshow
-
- slides - Variable in class org.openimaj.content.slideshow.Slideshow
-
- Slideshow - Class in org.openimaj.content.slideshow
-
Implementation of a slideshow made up of
Slide
s.
- Slideshow(RootPaneContainer, List<Slide>, int, int, BufferedImage) - Constructor for class org.openimaj.content.slideshow.Slideshow
-
Default constructor.
- SlideshowApplet - Class in org.openimaj.content.slideshow
-
A slideshow implementation that can be run as an applet.
- SlideshowApplet(JApplet, List<Slide>, int, int, BufferedImage) - Constructor for class org.openimaj.content.slideshow.SlideshowApplet
-
Default constructor.
- SlideshowApplication - Class in org.openimaj.content.slideshow
-
A slideshow that can be used in a Java Swing application.
- SlideshowApplication(List<Slide>, int, int, BufferedImage) - Constructor for class org.openimaj.content.slideshow.SlideshowApplication
-
Default constructor.
- SlideshowApplication(Slide, int, int, BufferedImage) - Constructor for class org.openimaj.content.slideshow.SlideshowApplication
-
Default constructor.
- SlideshowApplication(Slide, int, int) - Constructor for class org.openimaj.content.slideshow.SlideshowApplication
-
Default constructor.
- slideWidth - Variable in class org.openimaj.content.slideshow.Slideshow
-
- SlitScanProcessor - Class in org.openimaj.video.processing.effects
-
- SlitScanProcessor(int) - Constructor for class org.openimaj.video.processing.effects.SlitScanProcessor
-
Default constructor for using the video processor in an ad-hoc manner.
- SlitScanProcessor(Video<MBFImage>, int) - Constructor for class org.openimaj.video.processing.effects.SlitScanProcessor
-
Constructor for creating a video processor which is chainable.
- smallest(int) - Method in class ch.akuhn.matrix.eigenvalues.FewEigenvalues
-
Compute the smallest algebraic eigenvalues.
- smallStep - Variable in class org.openimaj.image.objectdetection.haar.Detector
-
- smallStep() - Method in class org.openimaj.image.objectdetection.haar.Detector
-
Get the step size the detector will make if there is any hint of a
detection.
- smf - Variable in class org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner
-
- smoothCircularSusan(FImage, double, double, double) - Static method in class org.openimaj.image.processing.edges.SUSANEdgeDetector
-
Performs the simple SUSAN edge detection.
- smoothingIterations - Variable in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor
-
- smoothingIterations - Variable in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
The number of iterations of the smoothing filter.
- smoothSusan(FImage, double, double) - Static method in class org.openimaj.image.processing.edges.SUSANEdgeDetector
-
Performs the simple SUSAN edge detection.
- Snap - Class in org.openimaj.workinprogress
-
- Snap() - Constructor for class org.openimaj.workinprogress.Snap
-
- sniffClusterType(String) - Static method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- sniffClusterType(File) - Static method in enum org.openimaj.tools.clusterquantiser.ClusterType
-
Guess the type of the clusters based on the file header
- sniffClusterType(BufferedInputStream) - Static method in enum org.openimaj.tools.clusterquantiser.ClusterType
-
Guess the type of the clusters based on the file header
- SoftAssigner<DATATYPE,DISTANCES> - Interface in org.openimaj.ml.clustering.assignment
-
The
SoftAssigner
interface describes classes that assign a spatial
point to multiple clusters, possibly with weighting.
- SoftBagOfVisualWords<DATATYPE,DISTANCE> - Class in org.openimaj.image.feature.local.aggregate
-
Implementation of an object capable of extracting the soft-assigned Bag of
Visual Words (BoVW) representation of an image given a list of local features
and an
SoftAssigner
with an associated codebook.
- SoftBagOfVisualWords(SoftAssigner<DATATYPE, DISTANCE>) - Constructor for class org.openimaj.image.feature.local.aggregate.SoftBagOfVisualWords
-
Construct with the given assigner.
- solve(double[], double[], double[]) - Static method in class org.openimaj.math.geometry.transforms.FundamentalRefinement.FastSolveNormal3x2
-
Solve the over-determined system [r1 r2]x = [r3] where r1, r2 and r3
are 3-dimensional column vectors and x is a 2 dimensional column
vector x=[r; s].
- solveEikonalStep(int, int, int, int) - Method in class org.openimaj.image.processing.restoration.inpainting.AbstractFMMInpainter
-
Solve a step of the Eikonal equation.
- solveGeneralQuadratic(float, float, float) - Static method in class org.openimaj.math.util.QuadraticEquation
-
Solve the general quadratic ax^2 + bx + c = 0
- solveGeneralQuadratic(double, double, double) - Static method in class org.openimaj.math.util.QuadraticEquation
-
Solve the general quadratic ax^2 + bx + c = 0
- solveHomogeneousSystem(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Solves the system Ax = 0
, returning the vector x as an array.
- solveHomogeneousSystem(double[][]) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Solves the system Ax = 0
, returning the vector x as an array.
- solveHomogeneousSystem(DenseMatrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Solves the system Ax = 0
, returning the vector x as an array.
- Something - Class in org.openimaj.rdf.owl2java
-
Top level class that all top-level superclasses generated from an ontology
will inherit from.
- Something() - Constructor for class org.openimaj.rdf.owl2java.Something
-
- sortedPMIReader(File) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.PairwiseMutualInformationMode
-
- source - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- source - Variable in class org.openimaj.twitter.USMFStatus
-
User friendly link to content
- Space - Interface in orgrdfs.sioc.ns
-
A Space is a place where data resides, e.g.
- space_of - Variable in class orgrdfs.sioc.ns.SpaceImpl
-
A resource which belongs to this data Space.
- SpaceImpl - Class in orgrdfs.sioc.ns
-
A Space is a place where data resides, e.g.
- SpaceImpl() - Constructor for class orgrdfs.sioc.ns.SpaceImpl
-
- SparqlQueryPager - Class in org.openimaj.text.nlp.namedentity
-
A class to handle the page iteration through a set of results from a sparql endpoint query.
- SparqlQueryPager(String) - Constructor for class org.openimaj.text.nlp.namedentity.SparqlQueryPager
-
- SparqlTransitiveClosure - Class in org.openimaj.text.nlp.namedentity
-
Given an endpoint, resolve transitive relationships of a root entity.
- SparqlTransitiveClosure(String) - Constructor for class org.openimaj.text.nlp.namedentity.SparqlTransitiveClosure
-
- sparse(int, int) - Static method in class ch.akuhn.matrix.Matrix
-
Create a sparse matrix
- sparse(int) - Static method in class ch.akuhn.matrix.Vector
-
Create an empty sparse vector
- SparseAutoencoder - Class in org.openimaj.workinprogress.featlearn
-
- SparseAutoencoder() - Constructor for class org.openimaj.workinprogress.featlearn.SparseAutoencoder
-
- SparseAutoencoder.Model - Class in org.openimaj.workinprogress.featlearn
-
- SparseBinSearchByteArray - Class in org.openimaj.util.array
-
A Sparse array of byte values implemented using a pair of
sorted parallel arrays.
- SparseBinSearchByteArray(byte[]) - Constructor for class org.openimaj.util.array.SparseBinSearchByteArray
-
Construct from an existing array of values
- SparseBinSearchByteArray(int, int, int[], byte[]) - Constructor for class org.openimaj.util.array.SparseBinSearchByteArray
-
- SparseBinSearchByteArray(int) - Constructor for class org.openimaj.util.array.SparseBinSearchByteArray
-
Construct the array with the given length
- SparseBinSearchByteArray(int, int) - Constructor for class org.openimaj.util.array.SparseBinSearchByteArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseBinSearchByteArray(int, float) - Constructor for class org.openimaj.util.array.SparseBinSearchByteArray
-
Construct the array with the given length and expected density
- SparseBinSearchDoubleArray - Class in org.openimaj.util.array
-
A Sparse array of double values implemented using a pair of
sorted parallel arrays.
- SparseBinSearchDoubleArray(double[]) - Constructor for class org.openimaj.util.array.SparseBinSearchDoubleArray
-
Construct from an existing array of values
- SparseBinSearchDoubleArray(int, int, int[], double[]) - Constructor for class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- SparseBinSearchDoubleArray(int) - Constructor for class org.openimaj.util.array.SparseBinSearchDoubleArray
-
Construct the array with the given length
- SparseBinSearchDoubleArray(int, int) - Constructor for class org.openimaj.util.array.SparseBinSearchDoubleArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseBinSearchDoubleArray(int, float) - Constructor for class org.openimaj.util.array.SparseBinSearchDoubleArray
-
Construct the array with the given length and expected density
- SparseBinSearchFloatArray - Class in org.openimaj.util.array
-
A Sparse array of float values implemented using a pair of
sorted parallel arrays.
- SparseBinSearchFloatArray(float[]) - Constructor for class org.openimaj.util.array.SparseBinSearchFloatArray
-
Construct from an existing array of values
- SparseBinSearchFloatArray(int, int, int[], float[]) - Constructor for class org.openimaj.util.array.SparseBinSearchFloatArray
-
- SparseBinSearchFloatArray(int) - Constructor for class org.openimaj.util.array.SparseBinSearchFloatArray
-
Construct the array with the given length
- SparseBinSearchFloatArray(int, int) - Constructor for class org.openimaj.util.array.SparseBinSearchFloatArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseBinSearchFloatArray(int, float) - Constructor for class org.openimaj.util.array.SparseBinSearchFloatArray
-
Construct the array with the given length and expected density
- SparseBinSearchIntArray - Class in org.openimaj.util.array
-
A Sparse array of int values implemented using a pair of
sorted parallel arrays.
- SparseBinSearchIntArray(int[]) - Constructor for class org.openimaj.util.array.SparseBinSearchIntArray
-
Construct from an existing array of values
- SparseBinSearchIntArray(int, int, int[], int[]) - Constructor for class org.openimaj.util.array.SparseBinSearchIntArray
-
- SparseBinSearchIntArray(int) - Constructor for class org.openimaj.util.array.SparseBinSearchIntArray
-
Construct the array with the given length
- SparseBinSearchIntArray(int, int) - Constructor for class org.openimaj.util.array.SparseBinSearchIntArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseBinSearchIntArray(int, float) - Constructor for class org.openimaj.util.array.SparseBinSearchIntArray
-
Construct the array with the given length and expected density
- SparseBinSearchLongArray - Class in org.openimaj.util.array
-
A Sparse array of long values implemented using a pair of
sorted parallel arrays.
- SparseBinSearchLongArray(long[]) - Constructor for class org.openimaj.util.array.SparseBinSearchLongArray
-
Construct from an existing array of values
- SparseBinSearchLongArray(int, int, int[], long[]) - Constructor for class org.openimaj.util.array.SparseBinSearchLongArray
-
- SparseBinSearchLongArray(int) - Constructor for class org.openimaj.util.array.SparseBinSearchLongArray
-
Construct the array with the given length
- SparseBinSearchLongArray(int, int) - Constructor for class org.openimaj.util.array.SparseBinSearchLongArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseBinSearchLongArray(int, float) - Constructor for class org.openimaj.util.array.SparseBinSearchLongArray
-
Construct the array with the given length and expected density
- SparseBinSearchShortArray - Class in org.openimaj.util.array
-
A Sparse array of short values implemented using a pair of
sorted parallel arrays.
- SparseBinSearchShortArray(short[]) - Constructor for class org.openimaj.util.array.SparseBinSearchShortArray
-
Construct from an existing array of values
- SparseBinSearchShortArray(int, int, int[], short[]) - Constructor for class org.openimaj.util.array.SparseBinSearchShortArray
-
- SparseBinSearchShortArray(int) - Constructor for class org.openimaj.util.array.SparseBinSearchShortArray
-
Construct the array with the given length
- SparseBinSearchShortArray(int, int) - Constructor for class org.openimaj.util.array.SparseBinSearchShortArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseBinSearchShortArray(int, float) - Constructor for class org.openimaj.util.array.SparseBinSearchShortArray
-
Construct the array with the given length and expected density
- SparseByteArray - Class in org.openimaj.util.array
-
A sparse array of byte values.
- SparseByteArray() - Constructor for class org.openimaj.util.array.SparseByteArray
-
- SparseByteArray.DualEntry - Class in org.openimaj.util.array
-
An entry representing the values in two parallel
SparseByteArray
s
at the same index.
- SparseByteArray.Entry - Class in org.openimaj.util.array
-
- SparseByteFV - Class in org.openimaj.feature
-
A sparse one-dimensional feature vector of byte-valued elements.
- SparseByteFV() - Constructor for class org.openimaj.feature.SparseByteFV
-
Construct an empty FV with zero length
- SparseByteFV(int) - Constructor for class org.openimaj.feature.SparseByteFV
-
Construct empty FV with given number of bins
- SparseByteFV(SparseByteArray) - Constructor for class org.openimaj.feature.SparseByteFV
-
Construct from sparse array
- SparseByteFV(byte[]) - Constructor for class org.openimaj.feature.SparseByteFV
-
Construct from native array
- SparseByteFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for DoubleFV objects.
- SparseCSVTokenOutputMode - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
Create a sparse CSV token output.
- SparseCSVTokenOutputMode() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.SparseCSVTokenOutputMode
-
- SparseCSVToMatlab - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.matlabio
-
- SparseCSVToMatlab() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.matlabio.SparseCSVToMatlab
-
- SparseDoubleArray - Class in org.openimaj.util.array
-
A sparse array of double values.
- SparseDoubleArray() - Constructor for class org.openimaj.util.array.SparseDoubleArray
-
- SparseDoubleArray.DualEntry - Class in org.openimaj.util.array
-
An entry representing the values in two parallel
SparseDoubleArray
s
at the same index.
- SparseDoubleArray.Entry - Class in org.openimaj.util.array
-
- SparseDoubleFV - Class in org.openimaj.feature
-
A sparse one-dimensional feature vector of double-valued elements.
- SparseDoubleFV() - Constructor for class org.openimaj.feature.SparseDoubleFV
-
Construct an empty FV with zero length
- SparseDoubleFV(int) - Constructor for class org.openimaj.feature.SparseDoubleFV
-
Construct empty FV with given number of bins
- SparseDoubleFV(SparseDoubleArray) - Constructor for class org.openimaj.feature.SparseDoubleFV
-
Construct from sparse array
- SparseDoubleFV(double[]) - Constructor for class org.openimaj.feature.SparseDoubleFV
-
Construct from native array
- SparseDoubleFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for DoubleFV objects.
- SparseFloatArray - Class in org.openimaj.util.array
-
A sparse array of float values.
- SparseFloatArray() - Constructor for class org.openimaj.util.array.SparseFloatArray
-
- SparseFloatArray.DualEntry - Class in org.openimaj.util.array
-
An entry representing the values in two parallel
SparseFloatArray
s
at the same index.
- SparseFloatArray.Entry - Class in org.openimaj.util.array
-
- SparseFloatFV - Class in org.openimaj.feature
-
A sparse one-dimensional feature vector of float-valued elements.
- SparseFloatFV() - Constructor for class org.openimaj.feature.SparseFloatFV
-
Construct an empty FV with zero length
- SparseFloatFV(int) - Constructor for class org.openimaj.feature.SparseFloatFV
-
Construct empty FV with given number of bins
- SparseFloatFV(SparseFloatArray) - Constructor for class org.openimaj.feature.SparseFloatFV
-
Construct from sparse array
- SparseFloatFV(float[]) - Constructor for class org.openimaj.feature.SparseFloatFV
-
Construct from native array
- SparseFloatFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for DoubleFV objects.
- SparseHashedByteArray - Class in org.openimaj.util.array
-
- SparseHashedByteArray(byte[]) - Constructor for class org.openimaj.util.array.SparseHashedByteArray
-
- SparseHashedByteArray(int) - Constructor for class org.openimaj.util.array.SparseHashedByteArray
-
Construct the array with the given length
- SparseHashedByteArray(int, int) - Constructor for class org.openimaj.util.array.SparseHashedByteArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseHashedByteArray(int, float) - Constructor for class org.openimaj.util.array.SparseHashedByteArray
-
Construct the array with the given length and expected density
- SparseHashedDoubleArray - Class in org.openimaj.util.array
-
- SparseHashedDoubleArray(double[]) - Constructor for class org.openimaj.util.array.SparseHashedDoubleArray
-
- SparseHashedDoubleArray(int) - Constructor for class org.openimaj.util.array.SparseHashedDoubleArray
-
Construct the array with the given length
- SparseHashedDoubleArray(int, int) - Constructor for class org.openimaj.util.array.SparseHashedDoubleArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseHashedDoubleArray(int, float) - Constructor for class org.openimaj.util.array.SparseHashedDoubleArray
-
Construct the array with the given length and expected density
- SparseHashedFloatArray - Class in org.openimaj.util.array
-
- SparseHashedFloatArray(float[]) - Constructor for class org.openimaj.util.array.SparseHashedFloatArray
-
- SparseHashedFloatArray(int) - Constructor for class org.openimaj.util.array.SparseHashedFloatArray
-
Construct the array with the given length
- SparseHashedFloatArray(int, int) - Constructor for class org.openimaj.util.array.SparseHashedFloatArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseHashedFloatArray(int, float) - Constructor for class org.openimaj.util.array.SparseHashedFloatArray
-
Construct the array with the given length and expected density
- SparseHashedIntArray - Class in org.openimaj.util.array
-
- SparseHashedIntArray(int[]) - Constructor for class org.openimaj.util.array.SparseHashedIntArray
-
- SparseHashedIntArray(int) - Constructor for class org.openimaj.util.array.SparseHashedIntArray
-
Construct the array with the given length
- SparseHashedIntArray(int, int) - Constructor for class org.openimaj.util.array.SparseHashedIntArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseHashedIntArray(int, float) - Constructor for class org.openimaj.util.array.SparseHashedIntArray
-
Construct the array with the given length and expected density
- SparseHashedLongArray - Class in org.openimaj.util.array
-
- SparseHashedLongArray(long[]) - Constructor for class org.openimaj.util.array.SparseHashedLongArray
-
- SparseHashedLongArray(int) - Constructor for class org.openimaj.util.array.SparseHashedLongArray
-
Construct the array with the given length
- SparseHashedLongArray(int, int) - Constructor for class org.openimaj.util.array.SparseHashedLongArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseHashedLongArray(int, float) - Constructor for class org.openimaj.util.array.SparseHashedLongArray
-
Construct the array with the given length and expected density
- SparseHashedShortArray - Class in org.openimaj.util.array
-
- SparseHashedShortArray(short[]) - Constructor for class org.openimaj.util.array.SparseHashedShortArray
-
- SparseHashedShortArray(int) - Constructor for class org.openimaj.util.array.SparseHashedShortArray
-
Construct the array with the given length
- SparseHashedShortArray(int, int) - Constructor for class org.openimaj.util.array.SparseHashedShortArray
-
Construct the array with the given length and capacity for non-zero elements
- SparseHashedShortArray(int, float) - Constructor for class org.openimaj.util.array.SparseHashedShortArray
-
Construct the array with the given length and expected density
- SparseIntArray - Class in org.openimaj.util.array
-
A sparse array of int values.
- SparseIntArray() - Constructor for class org.openimaj.util.array.SparseIntArray
-
- SparseIntArray.DualEntry - Class in org.openimaj.util.array
-
An entry representing the values in two parallel
SparseIntArray
s
at the same index.
- SparseIntArray.Entry - Class in org.openimaj.util.array
-
- SparseIntFV - Class in org.openimaj.feature
-
A sparse one-dimensional feature vector of int-valued elements.
- SparseIntFV() - Constructor for class org.openimaj.feature.SparseIntFV
-
Construct an empty FV with zero length
- SparseIntFV(int) - Constructor for class org.openimaj.feature.SparseIntFV
-
Construct empty FV with given number of bins
- SparseIntFV(SparseIntArray) - Constructor for class org.openimaj.feature.SparseIntFV
-
Construct from sparse array
- SparseIntFV(int[]) - Constructor for class org.openimaj.feature.SparseIntFV
-
Construct from native array
- SparseIntFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for DoubleFV objects.
- SparseLongArray - Class in org.openimaj.util.array
-
A sparse array of long values.
- SparseLongArray() - Constructor for class org.openimaj.util.array.SparseLongArray
-
- SparseLongArray.DualEntry - Class in org.openimaj.util.array
-
An entry representing the values in two parallel
SparseLongArray
s
at the same index.
- SparseLongArray.Entry - Class in org.openimaj.util.array
-
- SparseLongFV - Class in org.openimaj.feature
-
A sparse one-dimensional feature vector of long-valued elements.
- SparseLongFV() - Constructor for class org.openimaj.feature.SparseLongFV
-
Construct an empty FV with zero length
- SparseLongFV(int) - Constructor for class org.openimaj.feature.SparseLongFV
-
Construct empty FV with given number of bins
- SparseLongFV(SparseLongArray) - Constructor for class org.openimaj.feature.SparseLongFV
-
Construct from sparse array
- SparseLongFV(long[]) - Constructor for class org.openimaj.feature.SparseLongFV
-
Construct from native array
- SparseLongFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for DoubleFV objects.
- SparseMatrix - Class in ch.akuhn.matrix
-
A sparse matrix
- SparseMatrix(double[][]) - Constructor for class ch.akuhn.matrix.SparseMatrix
-
Construct with the given values
- SparseMatrix(int, int) - Constructor for class ch.akuhn.matrix.SparseMatrix
-
Construct with the given size
- SparseMatrixClusterer<CLUSTERS extends IndexClusters> - Interface in org.openimaj.ml.clustering
-
A matrix clusterer can cluster a matrix of data in some way
- SparseMatrixDBSCAN - Class in org.openimaj.ml.clustering.dbscan
-
Implementation of DBSCAN (http://en.wikipedia.org/wiki/DBSCAN) using
a
- SparseMatrixDBSCAN(double, int) - Constructor for class org.openimaj.ml.clustering.dbscan.SparseMatrixDBSCAN
-
Perform a DBScane with this configuration
- SparseOnesInitStrategy - Class in org.openimaj.ml.linear.learner.init
-
- SparseOnesInitStrategy(double, Random) - Constructor for class org.openimaj.ml.linear.learner.init.SparseOnesInitStrategy
-
- SparseRandomInitStrategy - Class in org.openimaj.ml.linear.learner.init
-
- SparseRandomInitStrategy(double, double, double, Random) - Constructor for class org.openimaj.ml.linear.learner.init.SparseRandomInitStrategy
-
- SparseRowOnesInitStrategy - Class in org.openimaj.ml.linear.learner.init
-
- SparseRowOnesInitStrategy(double, Random) - Constructor for class org.openimaj.ml.linear.learner.init.SparseRowOnesInitStrategy
-
- SparseRowRandomInitStrategy - Class in org.openimaj.ml.linear.learner.init
-
- SparseRowRandomInitStrategy(double, double, double, Random) - Constructor for class org.openimaj.ml.linear.learner.init.SparseRowRandomInitStrategy
-
- SparseShortArray - Class in org.openimaj.util.array
-
A sparse array of short values.
- SparseShortArray() - Constructor for class org.openimaj.util.array.SparseShortArray
-
- SparseShortArray.DualEntry - Class in org.openimaj.util.array
-
An entry representing the values in two parallel
SparseShortArray
s
at the same index.
- SparseShortArray.Entry - Class in org.openimaj.util.array
-
- SparseShortFV - Class in org.openimaj.feature
-
A sparse one-dimensional feature vector of short-valued elements.
- SparseShortFV() - Constructor for class org.openimaj.feature.SparseShortFV
-
Construct an empty FV with zero length
- SparseShortFV(int) - Constructor for class org.openimaj.feature.SparseShortFV
-
Construct empty FV with given number of bins
- SparseShortFV(SparseShortArray) - Constructor for class org.openimaj.feature.SparseShortFV
-
Construct from sparse array
- SparseShortFV(short[]) - Constructor for class org.openimaj.feature.SparseShortFV
-
Construct from native array
- SparseShortFVComparison - Enum in org.openimaj.feature
-
Comparison/distance methods for DoubleFV objects.
- SparseSingleValueInitStrat - Class in org.openimaj.ml.linear.learner.init
-
- SparseSingleValueInitStrat(double) - Constructor for class org.openimaj.ml.linear.learner.init.SparseSingleValueInitStrat
-
- SparseSingleValueInitStrat - Class in org.openimaj.ml.linear.learner.matlib.init
-
- SparseSingleValueInitStrat(double) - Constructor for class org.openimaj.ml.linear.learner.matlib.init.SparseSingleValueInitStrat
-
- SparseVector - Class in ch.akuhn.matrix
-
A sparse vector
- SparseVector(double[]) - Constructor for class ch.akuhn.matrix.SparseVector
-
- SparseVector(int) - Constructor for class ch.akuhn.matrix.SparseVector
-
- SparseVector(int, int) - Constructor for class ch.akuhn.matrix.SparseVector
-
Construct with the given length and capacity
- sparseVectorToSparseArray(SparseVector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- SparseZerosInitStrategy - Class in org.openimaj.ml.linear.learner.init
-
- SparseZerosInitStrategy() - Constructor for class org.openimaj.ml.linear.learner.init.SparseZerosInitStrategy
-
- SparseZerosInitStrategy - Class in org.openimaj.ml.linear.learner.matlib.init
-
- SparseZerosInitStrategy() - Constructor for class org.openimaj.ml.linear.learner.matlib.init.SparseZerosInitStrategy
-
- sparsity(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Compute the sparsity
- sparsity(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Compute the matrix sparsity (i.e.
- sparsity(SparseMatrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the sparsity (i.e.
- SpatialBinningStrategy - Interface in org.openimaj.image.analysis.algorithm.histogram.binning
-
Interface that describes the creation of a histogram from a spatial region of
an image based on sub-histograms extracted using a
WindowedHistogramExtractor
.
- SpatialClusterer<CLUSTERTYPE extends SpatialClusters<DATATYPE>,DATATYPE> - Interface in org.openimaj.ml.clustering
-
- SpatialClusters<DATATYPE> - Interface in org.openimaj.ml.clustering
-
Interface to describe objects that are the result of the clustering performed
by a
SpatialClusterer
.
- SpatialLocation - Class in org.openimaj.feature.local
-
SpatialLocation represents a
Location
in 2d-space.
- SpatialLocation() - Constructor for class org.openimaj.feature.local.SpatialLocation
-
Construct the ScaleSpaceLocation at 0, 0.
- SpatialLocation(float, float) - Constructor for class org.openimaj.feature.local.SpatialLocation
-
Construct the SpatialLocation with the given x and y coordinates.
- SpatialVectorAggregator<FEATURE extends FeatureVector,LOCATION extends Location,BOUNDS> - Interface in org.openimaj.image.feature.local.aggregate
-
Interface describing an object that can convert a list of local features from
a single image into an aggregated vector form, using both the featurevector
and spatial location of each local feature.
- SPECIFIC_WORD - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.SpecificWordStageProvider
-
- SpecificWordSelectionMapper - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries
-
given a list of configured words, emits only those words
- SpecificWordSelectionMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.SpecificWordSelectionMapper
-
- SpecificWordStageProvider - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries
-
Given a set of specific words, this a mapper is prepared which emits only the dfidf values of those specific words
and a reducer is created which emits a serialised time series for each word.
- SpecificWordStageProvider(List<String>) - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.SpecificWordStageProvider
-
- SpecificWordTimeSeries - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries
-
- SpecificWordTimeSeries() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.SpecificWordTimeSeries
-
- spectralCluster(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.CachedDoubleSpectralClustering
-
- spectralCluster(SparseMatrix) - Method in class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- SpectralClusteringConf<DATATYPE> - Class in org.openimaj.ml.clustering.spectral
-
- SpectralClusteringConf(SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE>, int) - Constructor for class org.openimaj.ml.clustering.spectral.SpectralClusteringConf
-
- SpectralClusteringConf(SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE>) - Constructor for class org.openimaj.ml.clustering.spectral.SpectralClusteringConf
-
- SpectralClusteringConf(SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE>, GraphLaplacian, int) - Constructor for class org.openimaj.ml.clustering.spectral.SpectralClusteringConf
-
- SpectralClusteringConf(SpatialClusterer<? extends SpatialClusters<DATATYPE>, DATATYPE>, GraphLaplacian) - Constructor for class org.openimaj.ml.clustering.spectral.SpectralClusteringConf
-
- SpectralClusteringConf(SpectralClusteringConf.ClustererProvider<DATATYPE>) - Constructor for class org.openimaj.ml.clustering.spectral.SpectralClusteringConf
-
- SpectralClusteringConf.ClustererProvider<DATATYPE> - Interface in org.openimaj.ml.clustering.spectral
-
A function which can represent itself as a string
- SpectralClusteringConf.DefaultClustererFunction<DATATYPE> - Class in org.openimaj.ml.clustering.spectral
-
- SpectralFlux - Class in org.openimaj.audio.features
-
Wrapper around the jAudio implementation of Spectral flux.
- SpectralFlux() - Constructor for class org.openimaj.audio.features.SpectralFlux
-
Default constructor
- SpectralFlux(AudioStream) - Constructor for class org.openimaj.audio.features.SpectralFlux
-
Constructor that's chainable.
- SpectralFluxLive - Class in org.openimaj.docs.tutorial.fund.audio
-
Example that shows the extraction of MFCC features from a live audio stream
and displaying the results in a visualisation.
- SpectralFluxLive() - Constructor for class org.openimaj.docs.tutorial.fund.audio.SpectralFluxLive
-
- SpectralIndexedClusters - Class in org.openimaj.ml.clustering.spectral
-
IndexClusters
which also hold the eigenvector/value pairs which created them
- SpectralIndexedClusters(IndexClusters, IndependentPair<double[], double[][]>) - Constructor for class org.openimaj.ml.clustering.spectral.SpectralIndexedClusters
-
- Spectrogram - Class in org.openimaj.docs.tutorial.fund.audio
-
This is the code for exercise 1 in the basic audio tutorial.
- Spectrogram() - Constructor for class org.openimaj.docs.tutorial.fund.audio.Spectrogram
-
- spectrogramComplete(AudioSpectrogram) - Method in interface org.openimaj.vis.audio.AudioSpectrogram.SpectrogramCompleteListener
-
Called when the spectragram is complete
- SphericalKMeans - Class in org.openimaj.ml.clustering.kmeans
-
Multithreaded (optionally) damped spherical k-means with support for
bigger-than-memory data.
- SphericalKMeans(int, int) - Constructor for class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
Construct with the given parameters.
- SphericalKMeans(int, int, boolean) - Constructor for class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
Construct with the given parameters.
- SphericalKMeans(int) - Constructor for class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
Construct with the given parameters.
- SphericalKMeans.IterationResult - Class in org.openimaj.ml.clustering.kmeans
-
Object storing the result of the previous iteration of spherical kmeans.
- SphericalKMeansResult - Class in org.openimaj.ml.clustering.kmeans
-
- SphericalKMeansResult() - Constructor for class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
- SphericalMultivariateGaussian - Class in org.openimaj.math.statistics.distribution
-
- SphericalMultivariateGaussian(Matrix, double) - Constructor for class org.openimaj.math.statistics.distribution.SphericalMultivariateGaussian
-
Construct the Gaussian with the provided center and covariance
- SphericalMultivariateGaussian(int) - Constructor for class org.openimaj.math.statistics.distribution.SphericalMultivariateGaussian
-
Construct the Gaussian with the zero mean and unit variance
- split(Corel5kDataset) - Method in class org.openimaj.image.annotation.evaluation.dataset.StandardCorel5kSplit
-
- SplitDetectionMode - Interface in org.openimaj.ml.clustering.kdtree
-
Given a vector, tell me the split
- SplitDetectionMode.MEAN - Class in org.openimaj.ml.clustering.kdtree
-
Use the mean to split
- SplitDetectionMode.MEDIAN - Class in org.openimaj.ml.clustering.kdtree
-
Splits clusters becuase they don't have exactly the same value!
- SplitDetectionMode.OPTIMISED - Class in org.openimaj.ml.clustering.kdtree
-
minimise for y: (y' * (D - W) * y) / ( y' * D * y );
s.t.
- SplitDetectionMode.VARIABLE_MEDIAN - Class in org.openimaj.ml.clustering.kdtree
-
Find the median, attempt to find a value which keeps clusters together
- splitFileRoot - Variable in class org.openimaj.tools.reddit.SplitMode
-
- SplitMode - Class in org.openimaj.tools.reddit
-
A split mode is told of the most recent items read and suggests a filename
- SplitMode() - Constructor for class org.openimaj.tools.reddit.SplitMode
-
- SplitModeOption - Enum in org.openimaj.tools.reddit
-
- sqrt(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the principle square root, X, of the matrix A such that A=X*X
- sqSum - Variable in class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
The squared sum data
- squaredEuclideanDistance(FImage, FImage, int[][]) - Static method in class org.openimaj.image.analysis.algorithm.EuclideanDistanceTransform
-
The static function which underlies EuclideanDistanceTransform.
- squaredEuclideanDistanceBinary(FImage, FImage, int[][]) - Static method in class org.openimaj.image.analysis.algorithm.EuclideanDistanceTransform
-
Calculate the squared euclidean distance transform of a binary image with
foreground pixels set to 1 and background set to 0.
- SquaredSummedDifferenceAggregator - Class in org.openimaj.ml.timeseries.aggregator
-
- SquaredSummedDifferenceAggregator() - Constructor for class org.openimaj.ml.timeseries.aggregator.SquaredSummedDifferenceAggregator
-
- SquareLossFunction - Class in org.openimaj.ml.linear.learner.loss
-
- SquareLossFunction() - Constructor for class org.openimaj.ml.linear.learner.loss.SquareLossFunction
-
- SquareMissingLossFunction - Class in org.openimaj.ml.linear.learner.loss
-
- SquareMissingLossFunction() - Constructor for class org.openimaj.ml.linear.learner.loss.SquareMissingLossFunction
-
- SquareOscillator() - Constructor for class org.openimaj.audio.generation.Oscillator.SquareOscillator
-
- stage() - Method in class org.openimaj.hadoop.mapreduce.SingleStagedJob
-
- stage(Path[], Path, Configuration) - Method in class org.openimaj.hadoop.mapreduce.stage.helper.MultipleOutputStage
-
- Stage<INPUT_FORMAT extends org.apache.hadoop.mapreduce.lib.input.FileInputFormat<INPUT_KEY,INPUT_VALUE>,OUTPUT_FORMAT extends org.apache.hadoop.mapreduce.lib.output.FileOutputFormat<OUTPUT_KEY,OUTPUT_VALUE>,INPUT_KEY,INPUT_VALUE,MAP_OUTPUT_KEY,MAP_OUTPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage
-
A stage in a multi step job.
- Stage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.Stage
-
Inititalise all the classes based on the generics
- stage(Path[], Path, Configuration) - Method in class org.openimaj.hadoop.mapreduce.stage.Stage
-
- stage(MultiStagedJob) - Method in class org.openimaj.hadoop.mapreduce.stage.StageAppender
-
- stage() - Method in class org.openimaj.hadoop.mapreduce.stage.StageProvider
-
- stage() - Method in class org.openimaj.hadoop.mapreduce.StageRunner
-
- stage() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingTool
-
- stage() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
- stage() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountWordsAcrossTimeperiod
-
- stage(Path[], Path, Configuration) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
- stage(MultiStagedJob) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord
-
- stage() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.TimeIndex
-
- stage() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.Values
-
- stage(MultiStagedJob) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordIndex
-
- stage() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.SpecificWordStageProvider
-
- Stage - Class in org.openimaj.image.objectdetection.haar
-
A classification stage.
- Stage(float, Classifier[], Stage, Stage) - Constructor for class org.openimaj.image.objectdetection.haar.Stage
-
Construct a new stage.
- StageAppender - Class in org.openimaj.hadoop.mapreduce.stage
-
Something with the ability to append one or more stages to a MultistagedJob
- StageAppender() - Constructor for class org.openimaj.hadoop.mapreduce.stage.StageAppender
-
- StageProvider - Class in org.openimaj.hadoop.mapreduce.stage
-
Something with the ability of providing a stage in a multistaged job
- StageProvider() - Constructor for class org.openimaj.hadoop.mapreduce.stage.StageProvider
-
- StageRunner - Class in org.openimaj.hadoop.mapreduce
-
A StageRunner provides the various components to run an individual stage.
- StageRunner() - Constructor for class org.openimaj.hadoop.mapreduce.StageRunner
-
- StageTreeClassifier - Class in org.openimaj.image.objectdetection.haar
-
A tree of classifier stages.
- StageTreeClassifier(int, int, String, boolean, Stage) - Constructor for class org.openimaj.image.objectdetection.haar.StageTreeClassifier
-
- StandardCorel5kSplit - Class in org.openimaj.image.annotation.evaluation.dataset
-
- StandardCorel5kSplit() - Constructor for class org.openimaj.image.annotation.evaluation.dataset.StandardCorel5kSplit
-
- standardDeviation() - Method in class org.openimaj.math.util.RunningStat
-
Returns the running standard deviation
- StandardFormatters - Enum in org.openimaj.citation.annotation.output
-
Standard reference formatters.
- StandardUnivariateKernels - Enum in org.openimaj.math.statistics.distribution.kernel
-
Standard univariate (1-d) kernel (window) implementations
- start(ClassPool) - Method in class org.openimaj.aop.MultiTransformClassFileTransformer
-
- start - Variable in class org.openimaj.image.contour.Contour
-
where the contour starts
- start - Variable in class org.openimaj.math.geometry.shape.algorithm.ConvexityDefect
-
The starting point on the convex hull
- start - Variable in class org.openimaj.text.nlp.textpipe.annotations.PhraseAnnotation
-
true if this is the start token of a phrase segment.
- start - Variable in class org.openimaj.text.nlp.textpipe.annotations.SentenceAnnotation
-
- start - Variable in class org.openimaj.text.nlp.textpipe.annotations.TokenAnnotation
-
- start() - Method in class org.openimaj.time.NanoTimer
-
Start the timer
- start() - Method in class org.openimaj.time.Timer
-
Start the timer
- start() - Method in class org.openimaj.tools.imagecollection.metamapper.FileMetaMapper
-
- start() - Method in class org.openimaj.tools.imagecollection.metamapper.MetaMapper
-
- start() - Method in class org.openimaj.tools.imagecollection.processor.DirectoryImageProcessor
-
- start() - Method in class org.openimaj.tools.imagecollection.processor.ImageCollectionProcessor
-
Start this image sink, called before an image is stored.
- start() - Method in class org.openimaj.tools.imagecollection.processor.SequenceFileProcessor
-
- start - Variable in class org.openimaj.util.parallel.Parallel.IntRange
-
Starting value (inclusive)
- START - Static variable in class org.openimaj.workinprogress.SignProgrammer
-
- start_lines() - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_pad_info
-
- start_lines(short) - Method in class org.openimaj.hardware.kinect.freenect.freenect_reg_pad_info
-
- startCapture() - Method in class org.openimaj.processing.OpenIMAJ
-
Start a video capture, default size, default device
- startCapture(int, int) - Method in class org.openimaj.processing.OpenIMAJ
-
Initialise video capture on the default device
- startCapture(int, int, int) - Method in class org.openimaj.processing.OpenIMAJ
-
Initialise video capture
- startChar - Variable in class org.openimaj.text.nlp.namedentity.NamedEntity
-
Start char of the match
- startPour() - Method in class org.openimaj.image.analysis.watershed.WatershedProcessorAlgorithm
-
Start the detection process by pouring on water at the pour point.
- StartPunc - Variable in class org.openimaj.text.nlp.patterns.EdgePunctuationPatternProvider
-
- startSession(int, int, double, Device) - Method in class org.openimaj.video.capture.VideoCapture
-
- startSession(int, int, double) - Method in class org.openimaj.video.capture.VideoCapture
-
- startTime - Variable in class org.openimaj.vis.timeline.TimelineObjectAdapter
-
The start time
- startToken - Variable in class org.openimaj.text.nlp.namedentity.NamedEntity
-
Start token of the match
- startValue - Variable in class org.openimaj.content.animation.animator.TimeBasedValueAnimator
-
The start value of the animation
- startX - Variable in class org.openimaj.vis.general.BarVisualisation.Bar
-
Data units where the bar is drawn
- State(int, RegionMode<IntDoublePair>) - Constructor for class org.openimaj.ml.clustering.dbscan.DBSCAN.State
-
- State(int, RegionMode<IntDoublePair>, boolean) - Constructor for class org.openimaj.ml.clustering.dbscan.DBSCAN.State
-
- state - Variable in class org.openimaj.pgm.vb.lda.mle.LDAVariationlState
-
The current LDAModel (i.e.
- state - Variable in class org.openimaj.tools.imagecollection.collection.ImageCollectionState
-
- StaticLearningRate<PTYPE extends Parameters<PTYPE>> - Class in org.openimaj.workinprogress.optimisation
-
- StaticLearningRate(double) - Constructor for class org.openimaj.workinprogress.optimisation.StaticLearningRate
-
- stats - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
General statistics
- stats - Variable in class org.openimaj.picslurper.output.WriteableImageOutput
-
- StatsOutputMode - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.stats
-
- StatsOutputMode() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.stats.StatsOutputMode
-
- StatsWordMatch - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.stats
-
- StatsWordMatch() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.stats.StatsWordMatch
-
- status - Variable in class org.openimaj.picslurper.output.WriteableImageOutput
-
- status - Variable in class org.openimaj.stream.provider.twitter.QueryHoldingStatus
-
the status
- StatusConsumer - Class in org.openimaj.picslurper
-
- StatusConsumer(boolean, File, File, List<OutputListener>) - Constructor for class org.openimaj.picslurper.StatusConsumer
-
- StatusConsumer() - Constructor for class org.openimaj.picslurper.StatusConsumer
-
for convenience
- StatusConsumer.StatusConsumerRedirectStrategy - Class in org.openimaj.picslurper
-
- StatusConsumerRedirectStrategy() - Constructor for class org.openimaj.picslurper.StatusConsumer.StatusConsumerRedirectStrategy
-
- StatusConsumption - Class in org.openimaj.picslurper
-
Statistics about status consumption
- StatusConsumption() - Constructor for class org.openimaj.picslurper.StatusConsumption
-
- StatusFeeder - Interface in org.openimaj.picslurper
-
- statusType - Variable in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
the status type to take as input
- StatusType - Enum in org.openimaj.tools.twitter.options
-
The social media status to be read in (useful for tools which control
reading)
- std(double[][]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sample standard deviation of a 2D array.
- std(double[]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sample standard deviation of a 1D array.
- std(float[][]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the standard deviation of a 2D array.
- std(float[]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the standard deviation of a 1D array.
- StdinSpout - Class in org.openimaj.picslurper
-
- StdinSpout() - Constructor for class org.openimaj.picslurper.StdinSpout
-
- stemmed - Variable in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Clue
-
Whether the words are stemmed
- StemmingMode - Class in org.openimaj.tools.twitter.modes.preprocessing
-
A gateway class which loads and uses the #PorterEnglishStemmingFilter
- StemmingMode() - Constructor for class org.openimaj.tools.twitter.modes.preprocessing.StemmingMode
-
Loads the language detector
- step(double[], double[], boolean) - Method in class org.openimaj.ml.linear.projection.LargeMarginDimensionalityReduction
-
Perform a single update step of the SGD optimisation.
- stepBack() - Method in class org.openimaj.video.VideoPlayer
-
Step back a frame.
- stepEnded(IterativeAlgorithm) - Method in class org.openimaj.ml.neuralnet.HandWritingNeuralNetSANDIA
-
- stepForward() - Method in class org.openimaj.video.VideoPlayer
-
Step forward a frame.
- stepStarted(IterativeAlgorithm) - Method in class org.openimaj.ml.neuralnet.HandWritingNeuralNetSANDIA
-
- stepX - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Step size of sampling window in x-direction (in pixels)
- stepY - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Step size of sampling window in y-direction (in pixels)
- StNode - Class in org.openimaj.math.geometry.shape.util.polygon
-
Sorted edge table
- StNode(EdgeNode, StNode) - Constructor for class org.openimaj.math.geometry.shape.util.polygon.StNode
-
- stop() - Method in class org.openimaj.audio.AudioGrabber
-
Stop the stream grabbing
- stop() - Method in class org.openimaj.audio.AudioPlayer
-
Use this method to stop the time keeper from running.
- stop() - Method in class org.openimaj.audio.JavaSoundAudioGrabber
-
Stop the stream grabbing
- stop() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Use this method to stop the time keeper from running.
- stop() - Method in class org.openimaj.hardware.kinect.KinectStream
-
Stop the stream
- stop() - Method in interface org.openimaj.hardware.kinect.KinectStreamCallback
-
Stop the stream
- stop() - Method in class org.openimaj.hardware.kinect.KinectVideoStreamCallback
-
- stop - Variable in class org.openimaj.ml.clustering.spectral.MultiviewSpectralClusteringConf
-
when to stop iterating
- stop(List<IndependentPair<double[], double[][]>>) - Method in class org.openimaj.ml.clustering.spectral.StoppingCondition.HardCoded
-
- stop(List<IndependentPair<double[], double[][]>>) - Method in interface org.openimaj.ml.clustering.spectral.StoppingCondition
-
Called once at the beggining of each full iteration
- stop - Variable in class org.openimaj.text.nlp.textpipe.annotations.SentenceAnnotation
-
- stop - Variable in class org.openimaj.text.nlp.textpipe.annotations.TokenAnnotation
-
- stop() - Method in class org.openimaj.time.NanoTimer
-
Stop the timer
- stop() - Method in interface org.openimaj.time.TimeKeeper
-
Use this method to stop the time keeper from running.
- stop() - Method in class org.openimaj.time.Timer
-
Stop the timer
- stop - Variable in class org.openimaj.util.parallel.Parallel.IntRange
-
Stopping value (exclusive)
- stop() - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Use this method to stop the time keeper from running.
- stop() - Method in class org.openimaj.video.VideoPlayer
-
Stop the video
- stopCapture() - Method in class org.openimaj.video.capture.VideoCapture
-
Stop the video capture system.
- stopChar - Variable in class org.openimaj.text.nlp.namedentity.NamedEntity
-
Stop char of the match
- stopNow - Variable in class org.openimaj.video.VideoPlayer.VideoPlayerComponent.AnimatorThread
-
- stoppingCondition - Variable in class org.openimaj.math.model.fit.RANSAC
-
- StoppingCondition - Interface in org.openimaj.ml.clustering.spectral
-
The stopping condition for a multiview spectral clustering algorithm
- StoppingCondition.HardCoded - Class in org.openimaj.ml.clustering.spectral
-
Counts the iterations
- stopToken - Variable in class org.openimaj.text.nlp.namedentity.NamedEntity
-
Stop token of the match
- StopwordMode - Class in org.openimaj.tools.twitter.modes.preprocessing
-
- StopwordMode() - Constructor for class org.openimaj.tools.twitter.modes.preprocessing.StopwordMode
-
- storeFeatureList(FeatureList, int) - Method in class org.openimaj.video.tracking.klt.FeatureTable
-
Store a list of features for the given frame number
- storeOn(double[], int) - Method in class ch.akuhn.matrix.Vector
-
I/O
- storeSparseOn(Appendable) - Method in class ch.akuhn.matrix.Matrix
-
I/O
- storeSparseOn(String) - Method in class ch.akuhn.matrix.Matrix
-
Write to file
- StormGraphCreator - Class in org.openimaj.storm.util.graph
-
Create DirectedGraph
instances from StormTopology
instances
- StormGraphCreator.NamedNode - Class in org.openimaj.storm.util.graph
-
A name and type node
- StormGraphCreator.NamingStrategy - Interface in org.openimaj.storm.util.graph
-
- StormGraphCreator.NamingStrategy.AlphabeticNamingStrategy - Class in org.openimaj.storm.util.graph
-
Names ComponentCommon
as A, B, C...
- StormGraphCreator.NamingStrategy.DefaultNamingStrategy - Class in org.openimaj.storm.util.graph
-
Uses id as name
- StormPicSlurper - Class in org.openimaj.picslurper
-
A tool for slurping images off twitter
- StormPicSlurper(String[]) - Constructor for class org.openimaj.picslurper.StormPicSlurper
-
- StormPicSlurper() - Constructor for class org.openimaj.picslurper.StormPicSlurper
-
no args
- StormPlayground - Class in org.openimaj.storm
-
- StormPlayground() - Constructor for class org.openimaj.storm.StormPlayground
-
- StormPlayground.JoinBolt - Class in org.openimaj.storm
-
- StormPlayground.RandomFieldSpout - Class in org.openimaj.storm
-
- StormToolOptions - Class in org.openimaj.storm.tool
-
- StormToolOptions(String[]) - Constructor for class org.openimaj.storm.tool.StormToolOptions
-
- StormTopologyMode - Class in org.openimaj.rdf.storm.tool.topology
-
- StormTopologyMode() - Constructor for class org.openimaj.rdf.storm.tool.topology.StormTopologyMode
-
- StormTopologyOrchestrator - Interface in org.openimaj.storm.topology.orchestrator
-
- StormTwitterPreprocessingTool - Class in org.openimaj.storm.tools.twitter
-
A storm implementation of twitter preprocessing
- StormTwitterPreprocessingTool(String[]) - Constructor for class org.openimaj.storm.tools.twitter.StormTwitterPreprocessingTool
-
- strategy - Variable in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAnalyser
-
- strategy - Variable in class org.openimaj.image.feature.dense.gradient.HOG
-
- strategy() - Method in enum org.openimaj.tools.faces.PredefinedStrategy
-
- StratifiedGroupedKFold<KEY,INSTANCE> - Class in org.openimaj.experiment.validation.cross
-
Stratified K-Fold Cross-Validation on grouped datasets.
- StratifiedGroupedKFold(int) - Constructor for class org.openimaj.experiment.validation.cross.StratifiedGroupedKFold
-
- StratifiedGroupedRandomisedPercentageHoldOut<KEY,INSTANCE> - Class in org.openimaj.experiment.validation
-
Stratified Hold-Out validation for grouped data that selects a percentage of
the original data to use for training, and the remainder to use for
validation.
- StratifiedGroupedRandomisedPercentageHoldOut(double, GroupedDataset<KEY, ListDataset<INSTANCE>, INSTANCE>) - Constructor for class org.openimaj.experiment.validation.StratifiedGroupedRandomisedPercentageHoldOut
-
Construct with the given dataset and percentage of training data (0..1).
- StratifiedGroupedUniformRandomisedSampler<KEY,INSTANCE> - Class in org.openimaj.experiment.dataset.sampling
-
A stratified uniformly random sampling scheme for grouped datasets.
- StratifiedGroupedUniformRandomisedSampler(double) - Constructor for class org.openimaj.experiment.dataset.sampling.StratifiedGroupedUniformRandomisedSampler
-
- StratifiedGroupedUniformRandomisedSampler(double, boolean) - Constructor for class org.openimaj.experiment.dataset.sampling.StratifiedGroupedUniformRandomisedSampler
-
- StratifiedGroupedUniformRandomisedSampler(int) - Constructor for class org.openimaj.experiment.dataset.sampling.StratifiedGroupedUniformRandomisedSampler
-
- StratifiedGroupedUniformRandomisedSampler(int, boolean) - Constructor for class org.openimaj.experiment.dataset.sampling.StratifiedGroupedUniformRandomisedSampler
-
- Stream<T> - Interface in org.openimaj.util.stream
-
Interface describing a stream of data items.
- StreamAustrianDampeningExperiments - Class in org.openimaj.ml.linear.experiments.sinabill
-
- StreamAustrianDampeningExperiments() - Constructor for class org.openimaj.ml.linear.experiments.sinabill.StreamAustrianDampeningExperiments
-
- StreamCombiner<A,B> - Class in org.openimaj.util.stream.combine
-
A stream combiner takes two streams and produces a new stream of synchronised
pairs of the stream values.
- StreamCombiner(Stream<A>, Stream<B>) - Constructor for class org.openimaj.util.stream.combine.StreamCombiner
-
- StreamedFeatureFile - Class in org.openimaj.tools.clusterquantiser
-
- StreamedFeatureFile() - Constructor for class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
Default constructor
- StreamedFeatureFile(LocalFeatureList<? extends LocalFeature<?, ?>>) - Constructor for class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
Construct with list
- StreamedFeatureFile(File, Class<? extends Keypoint>) - Constructor for class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
Construct with file
- StreamedFeatureFile(File) - Constructor for class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
Construct with file
- StreamedFeatureFile(InputStream) - Constructor for class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
Construct with stream
- StreamedFeatureFile(InputStream, Class<? extends Keypoint>) - Constructor for class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
-
Construct with stream
- streamFactory() - Static method in class org.openimaj.picslurper.TwitterInputStreamFactory
-
- StreamingDataset<INSTANCE> - Interface in org.openimaj.data.dataset
-
- StreamJSONStatusList - Class in org.openimaj.twitter.collection
-
A list of json maps
- StreamJSONStatusList(InputStream, int, boolean, int, int, String) - Constructor for class org.openimaj.twitter.collection.StreamJSONStatusList
-
- StreamJSONStatusList.ReadableWritableJSON - Class in org.openimaj.twitter.collection
-
a readable json hashmap
- StreamLocalFeatureList<T extends LocalFeature<?,?>> - Class in org.openimaj.feature.local.list
-
- StreamLocalFeatureList(InputStream, int, boolean, int, int, int, Class<T>) - Constructor for class org.openimaj.feature.local.list.StreamLocalFeatureList
-
- StreamLooper(BufferedReader) - Constructor for class org.openimaj.text.nlp.namedentity.EntityExtractionResourceBuilder.StreamLooper
-
- StreamTwitterStatusList<T extends USMFStatus> - Class in org.openimaj.twitter.collection
-
Converts an input stream into a list
USMFStatus
instances using various methods.
- StreamTwitterStatusList(InputStream, int, boolean, int, int, Class<T>, String) - Constructor for class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- StreamTwitterStatusList(InputStream, int, boolean, int, int, Class<? extends GeneralJSON>, Class<T>, String) - Constructor for class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- StreamTwitterStatusList(InputStream, int, boolean, int, int, Class<T>) - Constructor for class org.openimaj.twitter.collection.StreamTwitterStatusList
-
- string - Variable in class org.openimaj.hardware.gps.NMEAMessage
-
- stringMatched - Variable in class org.openimaj.text.nlp.namedentity.NamedEntity
-
The string that resulted in a match
- StringMurmurHashFunction - Class in org.openimaj.util.hash
-
Use MurmurHash (http://murmurhash.googlepages.com/) to generate a random hash
for a string.
- StringMurmurHashFunction() - Constructor for class org.openimaj.util.hash.StringMurmurHashFunction
-
- StringMurmurHashFunction(int) - Constructor for class org.openimaj.util.hash.StringMurmurHashFunction
-
- StringMurmurHashFunctionFactory - Class in org.openimaj.util.hash
-
- StringMurmurHashFunctionFactory() - Constructor for class org.openimaj.util.hash.StringMurmurHashFunctionFactory
-
Construct the factory with a newly constructed MersenneTwister
seeded with the current time.
- StringMurmurHashFunctionFactory(MersenneTwister) - Constructor for class org.openimaj.util.hash.StringMurmurHashFunctionFactory
-
Construct the factory with the given random generator
- StringNGramGenerator() - Constructor for class org.openimaj.text.nlp.namedentity.NGramGenerator.StringNGramGenerator
-
- StringScheme - Class in backtype.storm.scheme
-
- StringScheme() - Constructor for class backtype.storm.scheme.StringScheme
-
- StringScheme - Class in org.openimaj.storm.scheme
-
- StringScheme() - Constructor for class org.openimaj.storm.scheme.StringScheme
-
- StringScheme(String) - Constructor for class org.openimaj.storm.scheme.StringScheme
-
- stringToNode(String) - Method in class org.openimaj.web.readability.Readability
-
- STROKE_WIDTH - Static variable in class org.openimaj.image.typography.hershey.HersheyFontStyle
-
Attribute for the stroke width.
- strokeColour - Variable in class org.openimaj.vis.general.BarVisualisation.Bar
-
The stroke colour
- StrokeColourProvider<T> - Interface in org.openimaj.vis.general
-
- strokeWidthRatio - Variable in class org.openimaj.image.text.extraction.swt.SWTTextDetector.Options
-
Maximum allowed ratio of a pair of stroke widths for them to be
considered part of the same connected component.
- StrokeWidthTransform - Class in org.openimaj.image.processing.edges
-
Implementation of the Stroke Width Transform.
- StrokeWidthTransform(boolean, CannyEdgeDetector) - Constructor for class org.openimaj.image.processing.edges.StrokeWidthTransform
-
Construct the SWT with the given Canny edge detector.
- StrokeWidthTransform(boolean, float) - Constructor for class org.openimaj.image.processing.edges.StrokeWidthTransform
-
Construct the SWT with the given sigma for smoothing in the Canny phase
The Canny thresholds are chosen automatically.
- StrokeWidthTransform(boolean, float, float, float) - Constructor for class org.openimaj.image.processing.edges.StrokeWidthTransform
-
Construct with all Canny parameters set manually.
- StructuringElement - Class in org.openimaj.image.processing.morphology
-
Morphological structuring element
The central element is the pixel 0,0.
- StructuringElement() - Constructor for class org.openimaj.image.processing.morphology.StructuringElement
-
Construct an empty structuring element
- StructuringElement(Set<Pixel>, Set<Pixel>) - Constructor for class org.openimaj.image.processing.morphology.StructuringElement
-
Construct a structuring element with the given positive and negative
pixels
- StructuringElement(Pixel[], Pixel[]) - Constructor for class org.openimaj.image.processing.morphology.StructuringElement
-
Construct a structuring element with the given positive and negative
pixels
- StumpClassifier - Class in org.openimaj.ml.classification
-
- StumpClassifier() - Constructor for class org.openimaj.ml.classification.StumpClassifier
-
- StumpClassifier.WeightedLearner - Class in org.openimaj.ml.classification
-
- subClassWordnetCompanyQuery() - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- subImageIterator(I) - Method in class org.openimaj.image.pixel.sampling.RectangleSampler
-
Create an iterator to extract sub-images from an image based on the
rectangles defined by this sampler.
- SUBJ - Static variable in class org.openimaj.math.geometry.shape.util.PolygonUtils
-
SUBJ
- subject - Variable in class orgrdfs.sioc.ns.PostImpl
-
Keyword(s) describing subject of the Post.
- subList(int, int) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- subList(int, int) - Method in class org.openimaj.feature.local.list.FileLocalFeatureList
-
- subList(int, int) - Method in interface org.openimaj.feature.local.list.LocalFeatureList
-
- subList(int, int) - Method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
- subList(int, int) - Method in class org.openimaj.feature.local.list.StreamLocalFeatureList
-
- subList(int, int) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- subMatrix(T, int, int, int, int) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Extract the submatrix of the same type of mat
- subMatrix(T, TIntCollection, TIntCollection) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Extract a submatrix from the given rows and cols
- subMatrix(T, TIntArrayList, int, int) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- subMatrix(T, int, int, TIntArrayList) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- submit(Runnable) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils
-
Submits a Runnable task for execution and returns a Future representing
that task.
- submitTopology(StormToolOptions) - Method in class org.openimaj.rdf.storm.tool.topology.LocalTopologyMode
-
- submitTopology(StormToolOptions) - Method in class org.openimaj.rdf.storm.tool.topology.StormTopologyMode
-
- submitTopology(StormToolOptions) - Method in interface org.openimaj.rdf.storm.tool.topology.TopologyMode
-
- SubPixelCorners - Class in org.openimaj.image.feature.local.interest
-
Refines detected corners (i.e.
- SubPixelCorners(int, int, Predicate<IterationState>) - Constructor for class org.openimaj.image.feature.local.interest.SubPixelCorners
-
Construct with the given search window size and predicate to stop the
iteration.
- SubPixelCorners(int, int, int, int, Predicate<IterationState>) - Constructor for class org.openimaj.image.feature.local.interest.SubPixelCorners
-
Construct with the given search window size, zeroed window and predicate to
stop the iteration.
- subscriber_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl
-
A Container that a UserAccount is subscribed to.
- subscribers - Variable in class org.openimaj.twitter.USMFStatus.User
-
Number of subscribers
- subscriptions - Variable in class org.openimaj.twitter.USMFStatus.User
-
Number of subscriptions
- subSequence(int, int) - Method in class org.openimaj.utils.threads.InterruptibleCharSequence
-
- subtract(FImage) - Method in class org.openimaj.image.FImage
-
Subtracts the given
FImage
from this image returning a new image
containing the result.
- subtract(Float) - Method in class org.openimaj.image.FImage
-
Subtract a scalar from every pixel value in this image and return new
image.
- subtract(Image<?, ?>) - Method in class org.openimaj.image.FImage
-
Subtract the corresponding pixel value from the given image from the
pixel values in this image.
- subtract(Image<?, ?>) - Method in class org.openimaj.image.Image
-
Subtract the corresponding pixel value from the given image from the
pixel values in this image.
- subtract(Q) - Method in class org.openimaj.image.Image
-
Subtract a scalar from every pixel value in this image and return new
image.
- subtract(T) - Method in class org.openimaj.image.MultiBandImage
-
Subtracts the given value from every pixel in every band and returns the
result as a new image.
- subtract(CLQueue, CLImage2D, CLImage2D, CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Subtract two images, storing the result in another image
- subtract(CLQueue, CLImage2D, float[], CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Subtract a constant from an image, storing the result in another image
- subtract(CLImage2D, CLImage2D) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Subtract two images, returning a new image with the result
- subtract(CLImage2D, float[]) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Subtract a constant from an image, returning a new image with the result
- subtract(I, I) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Subtract two images, returning a new image with the result
- subtract(I, float[]) - Method in class org.openimaj.image.processing.CLImageArithmetic
-
Subtract a constant from an image, returning a new image with the result
- subtract(DiscreteCountBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- subtract(Integer) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- subtract(WeightedBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- subtract(Double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- subtract(double[][], double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(double[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(float[][], float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(float[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(int[][], int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(int[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(long[][], long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(long[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(byte[][], byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(byte[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(short[][], short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(short[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise subtraction of two arrays.
- subtract(double[], double) - Static method in class org.openimaj.util.array.ArrayUtils
-
Subtracts s
from all elements in a1
overwriting
the array.
- subtract(float[], float) - Static method in class org.openimaj.util.array.ArrayUtils
-
Subtracts s
from all elements in a1
overwriting
the array.
- subtract(int[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Subtracts s
from all elements in a1
overwriting
the array.
- subtract(long[], long) - Static method in class org.openimaj.util.array.ArrayUtils
-
Subtracts s
from all elements in a1
overwriting
the array.
- subtract(byte[], byte) - Static method in class org.openimaj.util.array.ArrayUtils
-
Subtracts s
from all elements in a1
overwriting
the array.
- subtract(short[], short) - Static method in class org.openimaj.util.array.ArrayUtils
-
Subtracts s
from all elements in a1
overwriting
the array.
- subtract(SparseByteArray) - Method in class org.openimaj.util.array.SparseByteArray
-
Subtract the values in the given vector from a copy of
this vector and return the result
- subtract(SparseDoubleArray) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Subtract the values in the given vector from a copy of
this vector and return the result
- subtract(SparseFloatArray) - Method in class org.openimaj.util.array.SparseFloatArray
-
Subtract the values in the given vector from a copy of
this vector and return the result
- subtract(SparseIntArray) - Method in class org.openimaj.util.array.SparseIntArray
-
Subtract the values in the given vector from a copy of
this vector and return the result
- subtract(SparseLongArray) - Method in class org.openimaj.util.array.SparseLongArray
-
Subtract the values in the given vector from a copy of
this vector and return the result
- subtract(SparseShortArray) - Method in class org.openimaj.util.array.SparseShortArray
-
Subtract the values in the given vector from a copy of
this vector and return the result
- subtract(OBJECT) - Method in interface org.openimaj.util.math.ObjectArithmetic
-
Subtract from a copy of this.
- subtract(SCALAR) - Method in interface org.openimaj.util.math.ScalarArithmetic
-
Subtract from a copy of this.
- subtractInplace(FImage) - Method in class org.openimaj.image.FImage
-
Subtracts (pixel-by-pixel) the given
FImage
from this image.
- subtractInplace(Float) - Method in class org.openimaj.image.FImage
-
Subtract a scalar from every pixel value in this image.
- subtractInplace(Image<?, ?>) - Method in class org.openimaj.image.FImage
-
Subtract the corresponding pixel value from the given image from the
pixel values in this image.
- subtractInplace(Image<?, ?>) - Method in class org.openimaj.image.Image
-
Subtract the corresponding pixel value from the given image from the
pixel values in this image.
- subtractInplace(Q) - Method in class org.openimaj.image.Image
-
Subtract a scalar from every pixel value in this image.
- subtractInplace(Image<?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Subtract the corresponding pixel value from the given image from the
pixel values in this image.
- subtractInplace(MultiBandImage<?, ?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Subtracts from every pixel in every band the corresponding pixel value in
the corresponding band of the given image.
- subtractInplace(SingleBandImage<?, ?>) - Method in class org.openimaj.image.MultiBandImage
-
Subtracts from every pixel in every band the corresponding pixel value in
the given image.
- subtractInplace(T) - Method in class org.openimaj.image.MultiBandImage
-
Subtracts the given value from every pixel in every band.
- subtractInplace(T[]) - Method in class org.openimaj.image.MultiBandImage
-
Subtract a scalar from every pixel value in this image.
- subtractInplace(Image<?, ?>) - Method in class org.openimaj.image.SVGImage
-
- subtractInplace(Float[]) - Method in class org.openimaj.image.SVGImage
-
- subtractInplace(DiscreteCountBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- subtractInplace(Integer) - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- subtractInplace(WeightedBipolarSentiment) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- subtractInplace(Double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- subtractInplace(SparseByteArray) - Method in class org.openimaj.util.array.SparseByteArray
-
Subtract the values in the given vector from
this array and return this
- subtractInplace(SparseDoubleArray) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Subtract the values in the given vector from
this array and return this
- subtractInplace(SparseFloatArray) - Method in class org.openimaj.util.array.SparseFloatArray
-
Subtract the values in the given vector from
this array and return this
- subtractInplace(SparseIntArray) - Method in class org.openimaj.util.array.SparseIntArray
-
Subtract the values in the given vector from
this array and return this
- subtractInplace(SparseLongArray) - Method in class org.openimaj.util.array.SparseLongArray
-
Subtract the values in the given vector from
this array and return this
- subtractInplace(SparseShortArray) - Method in class org.openimaj.util.array.SparseShortArray
-
Subtract the values in the given vector from
this array and return this
- subtractInplace(OBJECT) - Method in interface org.openimaj.util.math.ObjectArithmetic
-
Subtract from this.
- subtractInplace(SCALAR) - Method in interface org.openimaj.util.math.ScalarArithmetic
-
Subtract from this.
- subvector(int) - Method in class org.openimaj.feature.ArrayFeatureVector
-
Returns a new featurevector that is a subsequence of this vector.
- subvector(int, int) - Method in class org.openimaj.feature.ArrayFeatureVector
-
Returns a new string that is a subvector of this vector.
- subvector(int) - Method in class org.openimaj.feature.ByteFV
-
- subvector(int, int) - Method in class org.openimaj.feature.ByteFV
-
- subvector(int) - Method in class org.openimaj.feature.DoubleFV
-
- subvector(int, int) - Method in class org.openimaj.feature.DoubleFV
-
- subvector(int) - Method in class org.openimaj.feature.FloatFV
-
- subvector(int, int) - Method in class org.openimaj.feature.FloatFV
-
- subvector(int) - Method in class org.openimaj.feature.IntFV
-
- subvector(int, int) - Method in class org.openimaj.feature.IntFV
-
- subvector(int) - Method in class org.openimaj.feature.LongFV
-
- subvector(int, int) - Method in class org.openimaj.feature.LongFV
-
- subvector(int) - Method in class org.openimaj.feature.ShortFV
-
- subvector(int, int) - Method in class org.openimaj.feature.ShortFV
-
- subView(int, int) - Method in class org.openimaj.util.array.ByteArrayView
-
Get a subview of this view from l1 (inclusive) to r1 (exclusive).
- subView(int, int) - Method in class org.openimaj.util.array.DoubleArrayView
-
Get a subview of this view from l1 (inclusive) to r1 (exclusive).
- subView(int, int) - Method in class org.openimaj.util.array.FloatArrayView
-
Get a subview of this view from l1 (inclusive) to r1 (exclusive).
- subView(int, int) - Method in class org.openimaj.util.array.IntArrayView
-
Get a subview of this view from l1 (inclusive) to r1 (exclusive).
- subView(int, int) - Method in class org.openimaj.util.array.LongArrayView
-
Get a subview of this view from l1 (inclusive) to r1 (exclusive).
- subView(int, int) - Method in class org.openimaj.util.array.ShortArrayView
-
Get a subview of this view from l1 (inclusive) to r1 (exclusive).
- succ - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Edge connected at the upper end
- successStage() - Method in class org.openimaj.image.objectdetection.haar.Stage
-
Get the next stage to evaluate should this one pass; if this stage passes
and this is
null
then the whole
StageTreeClassifier
passes.
- sum(double[][]) - Static method in class ch.akuhn.matrix.Util
-
Sum
- sum(double[]) - Static method in class ch.akuhn.matrix.Util
-
Sum
- sum() - Method in class ch.akuhn.matrix.Vector
-
- sum() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeries
-
An explicit assumption is made that
WordDFIDF
instances all come
from the same period of time and therefore have the same total number of
tweets and total number of word instances across time (i.e.
- sum - Variable in class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
The sum data
- sum() - Method in class org.openimaj.image.FImage
-
- sum(Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Sum the matrix entries
- sum(DiagonalMatrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Sum the diagonal of the given matrix
- sum(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the sum of all elements of the matrix.
- sum(double[][]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sum of a 2D array.
- sum(double[]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sum of a 1D array.
- sum(float[][]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the sum of a 2D array.
- sum(float[]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the sum of a 1D array.
- sum() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- sum() - Method in interface org.openimaj.ml.timeseries.TimeSeriesArithmaticOperator
-
add together all time series data elements
- sum(double[][], double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(double[], double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(float[][], float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(float[], float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(int[][], int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(int[], int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(long[][], long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(long[], long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(byte[][], byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(byte[], byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(short[][], short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sum(short[], short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Element-wise summation of two arrays, output writes over first array
- sumAbs(double[][]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sum of the absolute values of a 2D array.
- sumAbs(double[]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sum the absolute values of a 1D array.
- sumAbs(float[][]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the sum of the absolute values of a 2D array.
- sumAbs(float[]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the sum the absolute values of a 1D array.
- SumBoxFilter - Class in org.openimaj.image.processing.convolution
-
A rectangular summing convolution operator (often known as a unnormalized Box
filter).
- SumBoxFilter(int, int) - Constructor for class org.openimaj.image.processing.convolution.SumBoxFilter
-
Construct the averaging operator with a kernel of the given dimensions.
- SumBoxFilter(int) - Constructor for class org.openimaj.image.processing.convolution.SumBoxFilter
-
Construct the averaging operator with a square kernel of the given
dimension.
- sumCols(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the sum of values in all cols
- sumColumn(Matrix, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the sum of values in a single column
- sumLoss(List<Pair<Matrix>>, Matrix, Matrix, Matrix, BilinearLearnerParameters) - Method in class org.openimaj.ml.linear.evaluation.MeanSumLossEvaluator
-
- sumLoss(List<Pair<Matrix>>, Matrix, Matrix, Matrix, BilinearLearnerParameters) - Method in class org.openimaj.ml.linear.evaluation.RootMeanSumLossEvaluator
-
- sumLoss(List<Pair<Matrix>>, Matrix, Matrix, Matrix, BilinearLearnerParameters) - Method in class org.openimaj.ml.linear.evaluation.SumLossEvaluator
-
- SumLossEvaluator - Class in org.openimaj.ml.linear.evaluation
-
- SumLossEvaluator() - Constructor for class org.openimaj.ml.linear.evaluation.SumLossEvaluator
-
- SummarySketcher<T,V> - Interface in org.openimaj.ml.sketch
-
As described by: http://lkozma.net/blog/sketching-data-structures/
"Sketching" data structures store a summary of a data set in situations where
the whole data would be prohibitively costly to store (at least in a
fast-access place like the memory as opposed to the hard disk).
- SummedAreaTable - Class in org.openimaj.image.analysis.algorithm
-
Implementation of an Integral Image or Summed Area Table.
- SummedAreaTable() - Constructor for class org.openimaj.image.analysis.algorithm.SummedAreaTable
-
Construct an empty SAT
- SummedAreaTable(FImage) - Constructor for class org.openimaj.image.analysis.algorithm.SummedAreaTable
-
Construct a SAT from the provided image
- SummedSqAreaTable - Class in org.openimaj.image.analysis.algorithm
-
Implementation of an Integral Image or Summed Area Table.
- SummedSqAreaTable() - Constructor for class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
Construct an empty SAT
- SummedSqAreaTable(FImage) - Constructor for class org.openimaj.image.analysis.algorithm.SummedSqAreaTable
-
Construct a SAT from the provided image
- SummedSqTiltAreaTable - Class in org.openimaj.image.analysis.algorithm
-
Implementation of an Integral Image or Summed Area Table.
- SummedSqTiltAreaTable() - Constructor for class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
Construct an empty SAT.
- SummedSqTiltAreaTable(FImage) - Constructor for class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
Construct a SAT for normal sum, squared sum and tilted sum from the
provided image.
- SummedSqTiltAreaTable(FImage, boolean) - Constructor for class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
Construct a SAT for normal sum, squared sum and (optionally) tilted sum
from the provided image.
- sumRow(Matrix, int) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the sum of values in a single row
- sumRows(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the sum of values in all rows
- sumSq(double[][]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sum of the squared values of a 2D array.
- sumSq(double[]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sum the squared values of a 1D array.
- sumSq(float[][]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the sum of the squared values of a 2D array.
- sumSq(float[]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the sum the squared values of a 1D array.
- sumValues(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in an array
- sumValues(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in an array
- sumValues(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in an array
- sumValues(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in an array
- sumValues(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in an array
- sumValues(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in an array
- sumValues(double[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in a 2d array
- sumValues(float[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in a 2d array
- sumValues(int[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in a 2d array
- sumValues(long[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in a 2d array
- sumValues(byte[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in a 2d array
- sumValues(short[][]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values in a 2d array
- sumValues() - Method in class org.openimaj.util.array.SparseByteArray
-
Compute the sum of values
- sumValues() - Method in class org.openimaj.util.array.SparseDoubleArray
-
Compute the sum of values
- sumValues() - Method in class org.openimaj.util.array.SparseFloatArray
-
Compute the sum of values
- sumValues() - Method in class org.openimaj.util.array.SparseIntArray
-
Compute the sum of values
- sumValues() - Method in class org.openimaj.util.array.SparseLongArray
-
Compute the sum of values
- sumValues() - Method in class org.openimaj.util.array.SparseShortArray
-
Compute the sum of values
- sumValuesSquared(double[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values squared in an array
- sumValuesSquared(float[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values squared in an array
- sumValuesSquared(int[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values squared in an array
- sumValuesSquared(long[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values squared in an array
- sumValuesSquared(byte[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values squared in an array
- sumValuesSquared(short[]) - Static method in class org.openimaj.util.array.ArrayUtils
-
Compute the sum of values squared in an array
- sumValuesSquared() - Method in class org.openimaj.util.array.SparseByteArray
-
Compute the sum of values squared
- sumValuesSquared() - Method in class org.openimaj.util.array.SparseDoubleArray
-
Compute the sum of values squared
- sumValuesSquared() - Method in class org.openimaj.util.array.SparseFloatArray
-
Compute the sum of values squared
- sumValuesSquared() - Method in class org.openimaj.util.array.SparseIntArray
-
Compute the sum of values squared
- sumValuesSquared() - Method in class org.openimaj.util.array.SparseLongArray
-
Compute the sum of values squared
- sumValuesSquared() - Method in class org.openimaj.util.array.SparseShortArray
-
Compute the sum of values squared
- supercover(int, int, int, int) - Static method in class org.openimaj.image.pixel.util.LineIterators
-
Generate the pixels for the supercover of the line between two points.
- supercoverAsList(int, int, int, int) - Static method in class org.openimaj.image.pixel.util.LineIterators
-
Generate the pixels for the supercover of the line between two points.
- supercoverAsList(Pixel, Pixel) - Static method in class org.openimaj.image.pixel.util.LineIterators
-
Generate the pixels for the supercover of the line between two points.
- supportIndex - Variable in class org.openimaj.ml.linear.learner.perceptron.OISVM
-
- supports - Variable in class org.openimaj.ml.linear.learner.perceptron.DoubleArrayKernelPerceptron
-
- supports - Variable in class org.openimaj.ml.linear.learner.perceptron.OISVM
-
- supportsPause() - Method in class org.openimaj.audio.AudioPlayer
-
Returns whether the timekeeper supports pausing.
- supportsPause() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Returns whether the timekeeper supports pausing.
- supportsPause() - Method in interface org.openimaj.time.TimeKeeper
-
Returns whether the timekeeper supports pausing.
- supportsPause() - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Returns whether the timekeeper supports pausing.
- supportsSeek() - Method in class org.openimaj.audio.AudioPlayer
-
Returns whether the timekeeper supports seeking.
- supportsSeek() - Method in class org.openimaj.audio.util.BasicMusicTimekeeper
-
Returns whether the timekeeper supports seeking.
- supportsSeek() - Method in interface org.openimaj.time.TimeKeeper
-
Returns whether the timekeeper supports seeking.
- supportsSeek() - Method in class org.openimaj.video.VideoDisplay.BasicVideoTimeKeeper
-
Returns whether the timekeeper supports seeking.
- SUSANEdgeDetector - Class in org.openimaj.image.processing.edges
-
Implementations of the SUSAN edge detection algorithm.
- SUSANEdgeDetector() - Constructor for class org.openimaj.image.processing.edges.SUSANEdgeDetector
-
Default constructor that instantiates a simple SUSAN edge detector with
threshold 0.08 and global threshold weighting 9.
- SUSANEdgeDetector(SUSANEdgeDetector.SUSANDetector, double, double) - Constructor for class org.openimaj.image.processing.edges.SUSANEdgeDetector
-
- SUSANEdgeDetector(SUSANEdgeDetector.SUSANDetector, double, double, double) - Constructor for class org.openimaj.image.processing.edges.SUSANEdgeDetector
-
- SuzukiContourProcessor - Class in org.openimaj.image.contour
-
Given a binary image (1-connected and 0-connected regions) detect contours
and provide both the contours and a hierarchy of contour membership.
- SuzukiContourProcessor() - Constructor for class org.openimaj.image.contour.SuzukiContourProcessor
-
- SuzukiNeighborStrategy - Class in org.openimaj.image.contour
-
The neighbourhood border/contour tracing algorithm described in Appendix 1 of
the Suzuki contour detection algorithm
- SuzukiNeighborStrategy() - Constructor for class org.openimaj.image.contour.SuzukiNeighborStrategy
-
- SuzukiTests - Class in org.openimaj.demos
-
- SuzukiTests() - Constructor for class org.openimaj.demos.SuzukiTests
-
- SvdPrincipalComponentAnalysis - Class in org.openimaj.math.matrix.algorithm.pca
-
Compute the PCA using an SVD without actually constructing the covariance
matrix.
- SvdPrincipalComponentAnalysis() - Constructor for class org.openimaj.math.matrix.algorithm.pca.SvdPrincipalComponentAnalysis
-
- SvdPrincipalComponentAnalysis(int) - Constructor for class org.openimaj.math.matrix.algorithm.pca.SvdPrincipalComponentAnalysis
-
- SVGImage - Class in org.openimaj.image
-
- SVGImage(SVGRenderHints) - Constructor for class org.openimaj.image.SVGImage
-
- SVGImage(int, int) - Constructor for class org.openimaj.image.SVGImage
-
Construct an empty SVG-backed image of the given size
- SVGRenderer - Class in org.openimaj.image.renderer
-
- SVGRenderer(SVGImage) - Constructor for class org.openimaj.image.renderer.SVGRenderer
-
Construct with given target image.
- SVGRenderer(SVGImage, SVGRenderHints) - Constructor for class org.openimaj.image.renderer.SVGRenderer
-
Construct with given target image and rendering hints.
- SVGRenderer(SVGRenderHints) - Constructor for class org.openimaj.image.renderer.SVGRenderer
-
Construct with given target image and rendering hints.
- SVGRenderer(SVGImage, Graphics) - Constructor for class org.openimaj.image.renderer.SVGRenderer
-
- SVGRenderer(SVGImage, RenderHints, Graphics) - Constructor for class org.openimaj.image.renderer.SVGRenderer
-
- SVGRenderHints - Class in org.openimaj.image.renderer
-
Hints for
ImageRenderer
implementations to (optionally)
use when drawing.
- SVGRenderHints(int, int) - Constructor for class org.openimaj.image.renderer.SVGRenderHints
-
- SVMAnnotator<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation.svm
-
Wraps the libsvm SVM and provides basic positive/negative
annotation for a single class.
- SVMAnnotator(FeatureExtractor<? extends FeatureVector, OBJECT>) - Constructor for class org.openimaj.ml.annotation.svm.SVMAnnotator
-
Constructor that takes the feature extractor to use.
- SvmSgd - Class in org.openimaj.workinprogress.sgdsvm
-
- SvmSgd(int, double) - Constructor for class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- SvmSgd(int, double, double) - Constructor for class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- SvmSgdMain - Class in org.openimaj.workinprogress.sgdsvm
-
- SvmSgdMain() - Constructor for class org.openimaj.workinprogress.sgdsvm.SvmSgdMain
-
- sw - Variable in class org.openimaj.image.processing.morphology.Dilate
-
- sw - Variable in class org.openimaj.image.processing.morphology.Erode
-
- sw - Variable in class org.openimaj.image.processing.morphology.HitAndMiss
-
- swap() - Method in class org.openimaj.util.pair.IndependentPair
-
- swapFrames() - Method in interface org.openimaj.hardware.kinect.KinectStreamCallback
-
swap the stream and callback buffers if the
callback buffer has fresher data.
- swapFrames() - Method in class org.openimaj.hardware.kinect.KinectVideoStreamCallback
-
- swapList(List<? extends IndependentPair<? extends T, ? extends Q>>) - Static method in class org.openimaj.util.pair.IndependentPair
-
Swap the order of the pairs
- SWTTextDetector - Class in org.openimaj.image.text.extraction.swt
-
Implementation of the Stroke Width Transform text detection algorithm by
Epshtein et al.
- SWTTextDetector() - Constructor for class org.openimaj.image.text.extraction.swt.SWTTextDetector
-
- SWTTextDetector(SWTTextDetector.Options) - Constructor for class org.openimaj.image.text.extraction.swt.SWTTextDetector
-
- SWTTextDetector.Direction - Enum in org.openimaj.image.text.extraction.swt
-
Text search "directions": Dark text on a lighter background, light text
on a dark background and both.
- SWTTextDetector.Options - Class in org.openimaj.image.text.extraction.swt
-
- symmetricEig2x2(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Compute the real Eigen decomposition of a symmetric 2x2 matrix.
- SymmetricFastICA - Class in org.openimaj.math.matrix.algorithm.ica
-
- SymmetricFastICA() - Constructor for class org.openimaj.math.matrix.algorithm.ica.SymmetricFastICA
-
- symmetricGeneralisedEigenvalues(DenseMatrix, DenseMatrix) - Static method in class org.openimaj.math.matrix.GeneralisedEigenvalueProblem
-
Compute the generalised eigenvalues, L, of the problem A x = L B x.
- symmetricGeneralisedEigenvalues(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.GeneralisedEigenvalueProblem
-
Compute the generalised eigenvalues, L, of the problem A x = L B x.
- symmetricGeneralisedEigenvectors(DenseMatrix, DenseMatrix) - Static method in class org.openimaj.math.matrix.GeneralisedEigenvalueProblem
-
Solve the general problem A x = L B x.
- symmetricGeneralisedEigenvectors(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.GeneralisedEigenvalueProblem
-
Solve the general problem A x = L B x.
- symmetricGeneralisedEigenvectorsSorted(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.GeneralisedEigenvalueProblem
-
Solve the general problem A x = L B x.
- symmetricGeneralisedEigenvectorsSorted(Matrix, Matrix, int) - Static method in class org.openimaj.math.matrix.GeneralisedEigenvalueProblem
-
Solve the general problem A x = L B x.
- SymmetricMatrix - Class in ch.akuhn.matrix
-
Matrix where aij = aji
for all elements.
- SymmetricMatrix(int) - Constructor for class ch.akuhn.matrix.SymmetricMatrix
-
Construct with given size
- SymmetricMatrix(double[][]) - Constructor for class ch.akuhn.matrix.SymmetricMatrix
-
Construct with given values, which must be jagged and represent the lower
triangular values
- SymmetricTransferResidual2d<M extends Model<Point2d,Point2d> & MatrixTransformProvider> - Class in org.openimaj.math.geometry.transforms.residuals
-
The points in the first image are projected by the homography matrix to
produce new estimates of the second image points and the second image point
projected by the inverse homography to produce estimates of the first.
- SymmetricTransferResidual2d() - Constructor for class org.openimaj.math.geometry.transforms.residuals.SymmetricTransferResidual2d
-
- SynchronisedTimeSeriesCollection<ALLINPUT,SINGLEINPUT,TIMESERIES extends SynchronisedTimeSeriesCollection<ALLINPUT,SINGLEINPUT,TIMESERIES,INTERNALSERIES>,INTERNALSERIES extends TimeSeries<ALLINPUT,SINGLEINPUT,INTERNALSERIES>> - Class in org.openimaj.ml.timeseries.collection
-
A collection of time series which share exactly the same time steps.
- SynchronisedTimeSeriesCollection() - Constructor for class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
initialise the underlying time series holder
- SynchronisedTimeSeriesCollectionAggregator<TIMESERIES extends TimeSeries<?,?,TIMESERIES>,STSCOLLECTION extends SynchronisedTimeSeriesCollection<?,?,?,TIMESERIES>,OUTPUT> - Interface in org.openimaj.ml.timeseries.aggregator
-
A time series collection aggregators take as input a time series collection
and output a specified type
- Synthesizer - Class in org.openimaj.audio.generation
-
Really really basic synthesizer.
- Synthesizer() - Constructor for class org.openimaj.audio.generation.Synthesizer
-
- Synthesizer.FMOptions - Class in org.openimaj.audio.generation
-
Options class for FM synthesis.
- Synthesizer.OscillatorOptions - Interface in org.openimaj.audio.generation
-
Interface for options.
- SynthesizerListener - Interface in org.openimaj.audio.generation
-
An interface for objects that want to listen for synthesizer events.
- synthQuiet() - Method in interface org.openimaj.audio.generation.SynthesizerListener
-
Called when the synthesizer goes quiet (gets to the end of a release)
- sysin - Static variable in class org.openimaj.tools.twitter.options.TwitterPreprocessingToolOptions
-
this is available mainly for testing
- SysOutRDFSerializer - Class in org.openimaj.rdf.serialize
-
Debugging class that outputs triples to the System.out stream.
- SysOutRDFSerializer() - Constructor for class org.openimaj.rdf.serialize.SysOutRDFSerializer
-
- T_FILTER - Static variable in class org.openimaj.audio.analysis.BeatDetector
-
Low Pass filter time constant
- ta - Variable in class org.openimaj.text.nlp.textpipe.pipes.YagoEntityPipe
-
- tables - Variable in class org.openimaj.knn.lsh.LSHNearestNeighbours
-
- take() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- take() - Method in interface org.openimaj.util.concurrent.BlockingDroppingQueue
-
Retrieves and removes the head of this queue, waiting if necessary until
an element becomes available.
- tanh(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Return a copy of the input matrix where every value is the hyperbolic tangent
of the elements.
- targetDirectory - Variable in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
-
The target directory for the output
- targetImage - Variable in class org.openimaj.image.renderer.ImageRenderer
-
- targetSize - Variable in class org.openimaj.image.dataset.FlickrImageDataset
-
- taskCompleted() - Method in class org.openimaj.utils.threads.WatchedRunner
-
- TED - Static variable in class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
Top edge
- TeleaInpainting<IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Class in org.openimaj.image.processing.restoration.inpainting
-
Implementation of Alexandru Telea's FMM-based inpainting algorithm.
- TeleaInpainting(int) - Constructor for class org.openimaj.image.processing.restoration.inpainting.TeleaInpainting
-
Construct the inpainting operator with the given radius.
- temperature - Variable in class org.openimaj.hardware.compass.CompassData
-
Temperature in degrees centigrade
- template - Variable in class org.openimaj.image.processing.algorithm.FourierCorrelation
-
The template image
- TEMPLATE_MATCH() - Constructor for class org.openimaj.video.processing.motion.MotionEstimatorAlgorithm.TEMPLATE_MATCH
-
- TEMPLATE_MATCH(float, TemplateMatcher.Mode) - Constructor for class org.openimaj.video.processing.motion.MotionEstimatorAlgorithm.TEMPLATE_MATCH
-
Given the template's size, search around a border of size
template*searchWindowBorderProp
- templateImage - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
The template image
- TemplateMatcher - Class in org.openimaj.image.analysis.algorithm
-
Basic template matching for
FImage
s.
- TemplateMatcher(FImage, TemplateMatcher.Mode) - Constructor for class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
Default constructor with the template to match and the mode
with which to estimate template responses.
- TemplateMatcher(FImage, TemplateMatcher.Mode, Rectangle) - Constructor for class org.openimaj.image.analysis.algorithm.TemplateMatcher
-
Construct with the template to match, the mode with which to
estimate template responses and the bounds rectangle in which
to search.
- TemplateMatcher.Mode - Enum in org.openimaj.image.analysis.algorithm
-
Different algorithms for comparing templates to images.
- TemplateSerialiser() - Constructor for class org.openimaj.rdf.storm.utils.JenaStormUtils.TemplateSerialiser
-
- terminationEps - Variable in class org.openimaj.ml.clustering.kmeans.SphericalKMeans
-
- terms - Variable in class org.openimaj.ml.annotation.linear.DenseLinearTransformAnnotator
-
- TernaryData(float, float, float, float) - Constructor for class org.openimaj.vis.ternary.TernaryPlot.TernaryData
-
- TernaryParams - Class in org.openimaj.vis.ternary
-
- TernaryParams() - Constructor for class org.openimaj.vis.ternary.TernaryParams
-
- ternaryPattern - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- TernaryPlot - Class in org.openimaj.vis.ternary
-
A ternary plot draws a triangle simplex.
- TernaryPlot(float, List<TernaryPlot.TernaryData>) - Constructor for class org.openimaj.vis.ternary.TernaryPlot
-
- TernaryPlot.TernaryData - Class in org.openimaj.vis.ternary
-
Holds an a value for the 3 ternary dimensions and a value
- test(IterationState) - Method in class org.openimaj.algorithm.iterative.MaxIterations
-
- test(IterationState) - Method in class org.openimaj.algorithm.iterative.MinEpsilon
-
- test(LocalFeature<?, ByteFV>) - Method in class org.openimaj.feature.local.filter.ByteEntropyFilter
-
- test(Contour) - Method in class org.openimaj.image.feature.astheticode.AestheticodeDetector
-
- Test - Class in org.openimaj.image.objectdetection.hog
-
- Test() - Constructor for class org.openimaj.image.objectdetection.hog.Test
-
- test(M) - Method in class org.openimaj.math.geometry.transforms.check.ConvexityCheck2D
-
- test(M) - Method in class org.openimaj.math.geometry.transforms.check.OrientationCheck2D
-
- test(M) - Method in class org.openimaj.math.geometry.transforms.check.TransformMatrixConditionCheck
-
- test(int) - Method in class org.openimaj.tools.ocr.KNNCharacterClassifier
-
Run a bunch of tests to determine how good the classifier is.
- test(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.filter.DateFilter
-
- test(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.filter.GeoFilter
-
- test(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.filter.GrepFilter
-
- test(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.filter.IsReplyFilter
-
- test(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.filter.LanguageFilter
-
- test(USMFStatus) - Method in class org.openimaj.tools.twitter.modes.filter.RandomFilter
-
- test(Context) - Method in class org.openimaj.util.function.context.ContextPredicateAdaptor
-
- test(T) - Method in interface org.openimaj.util.function.Predicate
-
Tests whether a specific object passes some criteria.
- test(T) - Method in class org.openimaj.util.function.predicates.And
-
- test(T) - Method in class org.openimaj.util.function.predicates.NegationPredicate
-
- test(T) - Method in class org.openimaj.util.function.predicates.Or
-
- Test - Class in org.openimaj.workinprogress.featlearn
-
- Test() - Constructor for class org.openimaj.workinprogress.featlearn.Test
-
- test(int, int, SparseFloatArray[], double[], String) - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- test(int, int, List<SparseFloatArray>, TDoubleArrayList, String) - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- Test2 - Class in org.openimaj.workinprogress.featlearn
-
- Test2() - Constructor for class org.openimaj.workinprogress.featlearn.Test2
-
- test_backtrack(Matrix, Matrix, Matrix, double) - Method in class org.openimaj.ml.linear.learner.loss.LossFunction
-
- test_backtrack(Matrix, Matrix, Matrix, double) - Method in class org.openimaj.ml.linear.learner.loss.MatSquareLossFunction
-
- TestConnected - Class in org.openimaj.workinprogress.accel
-
- TestConnected() - Constructor for class org.openimaj.workinprogress.accel.TestConnected
-
- TestGUI - Class in org.openimaj.image.feature.local.detector.mser.gui
-
Test GUI for the MSER extractor
- TestGUI() - Constructor for class org.openimaj.image.feature.local.detector.mser.gui.TestGUI
-
This is the default constructor
- TestHarness - Class in org.openimaj.image.calibration
-
- TestHarness() - Constructor for class org.openimaj.image.calibration.TestHarness
-
- TestImageClass - Class in org.openimaj.workinprogress.featlearn
-
- TestImageClass() - Constructor for class org.openimaj.workinprogress.featlearn.TestImageClass
-
- Testing - Class in org.openimaj.image.objectdetection.haar.training
-
- Testing() - Constructor for class org.openimaj.image.objectdetection.haar.training.Testing
-
- Testing - Class in org.openimaj.image.objectdetection.hog
-
- Testing() - Constructor for class org.openimaj.image.objectdetection.hog.Testing
-
- testOne(SparseFloatArray, double, double[], double[]) - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- testSingleEllipseFromMatlab() - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Check the overlap of a single ellipse using covariance numbrers loaded
from matlab
- TestSplitProvider<OUT extends Dataset<?>> - Interface in org.openimaj.experiment.dataset.split
-
An object that can provide a test dataset.
- TestStats() - Constructor for class org.openimaj.ml.clustering.kdtree.ClusterTestDataLoader.TestStats
-
- TestTopology - Class in backtype.storm.spout
-
- TestTopology() - Constructor for class backtype.storm.spout.TestTopology
-
- TestTopology.FailEveryOther - Class in backtype.storm.spout
-
- text - Variable in class org.openimaj.text.nlp.textpipe.annotations.RawTextAnnotation
-
The original text.
- text - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- text - Variable in class org.openimaj.twitter.USMFStatus
-
Microblog text / Video Title / Etc
- TEXT_MODE - Static variable in class org.openimaj.image.typography.mathml.MathMLFontStyle
-
- TextByteByteStage - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- TextByteByteStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.TextByteByteStage
-
- TextBytesJobUtil - Class in org.openimaj.hadoop.mapreduce
-
Utility methods for creating Job
s that injest and output Text
keys and BytesWritable
values.
- TextBytesJobUtil() - Constructor for class org.openimaj.hadoop.mapreduce.TextBytesJobUtil
-
- TextBytesSequenceFileUtility - Class in org.openimaj.hadoop.sequencefile
-
A concrete implementation of a
SequenceFileUtility
for
SequenceFile
s with
Text
keys and
BytesWritable
values.
- TextBytesSequenceFileUtility(String, boolean) - Constructor for class org.openimaj.hadoop.sequencefile.TextBytesSequenceFileUtility
-
- TextBytesSequenceFileUtility(String, SequenceFile.CompressionType, Map<String, String>) - Constructor for class org.openimaj.hadoop.sequencefile.TextBytesSequenceFileUtility
-
- TextBytesSequenceFileUtility(String, SequenceFile.CompressionType) - Constructor for class org.openimaj.hadoop.sequencefile.TextBytesSequenceFileUtility
-
- TextBytesSequenceFileUtility(URI, boolean) - Constructor for class org.openimaj.hadoop.sequencefile.TextBytesSequenceFileUtility
-
- TextBytesSequenceFileUtility(URI, SequenceFile.CompressionType, Map<String, String>) - Constructor for class org.openimaj.hadoop.sequencefile.TextBytesSequenceFileUtility
-
- TextBytesSequenceFileUtility(URI, SequenceFile.CompressionType) - Constructor for class org.openimaj.hadoop.sequencefile.TextBytesSequenceFileUtility
-
- TextBytesSequenceMemoryUtility - Class in org.openimaj.hadoop.tools.fastkmeans
-
- TextBytesSequenceMemoryUtility(String, boolean) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.TextBytesSequenceMemoryUtility
-
- TextBytesSequenceMemoryUtility(String, SequenceFile.CompressionType, Map<String, String>) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.TextBytesSequenceMemoryUtility
-
- TextBytesSequenceMemoryUtility(String, SequenceFile.CompressionType) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.TextBytesSequenceMemoryUtility
-
- TextBytesSequenceMemoryUtility(URI, boolean) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.TextBytesSequenceMemoryUtility
-
- TextBytesSequenceMemoryUtility(URI, SequenceFile.CompressionType, Map<String, String>) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.TextBytesSequenceMemoryUtility
-
- TextBytesSequenceMemoryUtility(URI, SequenceFile.CompressionType) - Constructor for class org.openimaj.hadoop.tools.fastkmeans.TextBytesSequenceMemoryUtility
-
- TextDaySplitStage - Class in org.openimaj.hadoop.tools.twitter
-
- TextDaySplitStage() - Constructor for class org.openimaj.hadoop.tools.twitter.TextDaySplitStage
-
- TextEntryType - Enum in org.openimaj.hadoop.tools.twitter.token.mode
-
The types of stats that can be held
- TextExtractor<T extends Image<?,T>> - Class in org.openimaj.image.text.extraction
-
An interface for classes that are able to extract text from images.
- TextExtractor() - Constructor for class org.openimaj.image.text.extraction.TextExtractor
-
- TextFileDataset - Class in org.openimaj.image.processing.face.recognition.benchmarking.dataset
-
A simple dataset of people and their images, backed by a
text file with the following format:
- TextFileDataset(File) - Constructor for class org.openimaj.image.processing.face.recognition.benchmarking.dataset.TextFileDataset
-
Construct from the given file.
- TextFileDataset(File, String) - Constructor for class org.openimaj.image.processing.face.recognition.benchmarking.dataset.TextFileDataset
-
Construct from the given file, using the given separator.
- TextLineIterable - Class in org.openimaj.util.iterator
-
An
Iterable
that can provide access to lines of a text file
referenced by a
File
or
URL
.
- TextLineIterable(TextLineIterable.Provider) - Constructor for class org.openimaj.util.iterator.TextLineIterable
-
Construct with the given provider
- TextLineIterable(File) - Constructor for class org.openimaj.util.iterator.TextLineIterable
-
Construct with the given file
- TextLineIterable(File, String) - Constructor for class org.openimaj.util.iterator.TextLineIterable
-
Construct with the given file and charset
- TextLineIterable(URL, String) - Constructor for class org.openimaj.util.iterator.TextLineIterable
-
Construct with the given url and charset
- TextLineIterable(URL) - Constructor for class org.openimaj.util.iterator.TextLineIterable
-
Construct with the given url
- TextLineIterable.GZIPFileProvider - Class in org.openimaj.util.iterator
-
- TextLineIterable.Provider - Interface in org.openimaj.util.iterator
-
- TextLongByteStage - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- TextLongByteStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.TextLongByteStage
-
- TextPipeAnnotation - Class in org.openimaj.text.nlp.textpipe.annotations
-
- TextPipeAnnotation() - Constructor for class org.openimaj.text.nlp.textpipe.annotations.TextPipeAnnotation
-
- textRegionDetection(FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Calculate the feature map that give the approximate localisation of
candidate text regions.
- textRegionLocalisation(FImage, FImage) - Method in class org.openimaj.image.text.extraction.LiuSamarabanduTextExtractorBasic
-
Extract the regions that probably contain text (as given by the feature
map)
- TextSequenceFileStage<MAP_OUTPUT_KEY,MAP_OUTPUT_VALUE,OUTPUT_KEY,OUTPUT_VALUE> - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- TextSequenceFileStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.TextSequenceFileStage
-
- TextSomethingTextStage<MAPOUTKEY,MAPOUTVALUE> - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- TextSomethingTextStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.TextSomethingTextStage
-
- TextStage - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A stage that takes text in and spits text out
- TextStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.TextStage
-
- TextTextByteStage - Class in org.openimaj.hadoop.mapreduce.stage.helper
-
A helper class for a common stage type.
- TextTextByteStage() - Constructor for class org.openimaj.hadoop.mapreduce.stage.helper.TextTextByteStage
-
- tf - Variable in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
Number of tweets in this timeperiod
- tf_iterator() - Method in class org.openimaj.audio.samples.FloatSampleBuffer
-
Returns a trove float iterator
- TFF - Class in org.openimaj.text.nlp.sentiment.model.wordlist.util
-
The TFF data format is the word clue format used by OpinionFinder.
- TFF() - Constructor for class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF
-
instatiate the clue map and the clue list
- TFF.Clue - Class in org.openimaj.text.nlp.sentiment.model.wordlist.util
-
A particular clue
- TFF.Polarity - Enum in org.openimaj.text.nlp.sentiment.model.wordlist.util
-
The polarity of this word in this POS
- TFF.Pos - Enum in org.openimaj.text.nlp.sentiment.model.wordlist.util
-
The Part of Speech of this clue.
- TFF.Type - Enum in org.openimaj.text.nlp.sentiment.model.wordlist.util
-
The subjectivity leve
- TFFCountSentiment - Class in org.openimaj.text.nlp.sentiment.type
-
A Discrete count sentiment is one which a set of arbitrary sentiments are given a count in a given phrase .
- TFFCountSentiment() - Constructor for class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
all weights set to 0
- TFFCountSentiment(int) - Constructor for class org.openimaj.text.nlp.sentiment.type.TFFCountSentiment
-
- TH - Static variable in class org.openimaj.math.geometry.shape.util.polygon.HState
-
Top horizontal edge
- theta - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation
-
The rotation angle
- theta - Variable in class org.openimaj.image.processing.transform.AffineParams
-
The angle of rotation
- Thicken - Class in org.openimaj.image.processing.morphology
-
Morphological thickening of connected components and (assumed binary) FImages.
- Thicken(StructuringElement...) - Constructor for class org.openimaj.image.processing.morphology.Thicken
-
Construct the thickening operator with the given structuring element
- Thin - Class in org.openimaj.image.processing.morphology
-
Morphological thinning of connected components and (assumed binary) FImages.
- Thin(StructuringElement...) - Constructor for class org.openimaj.image.processing.morphology.Thin
-
Construct the thinning operator with the given structuring element
- ThinSingularValueDecomposition - Class in org.openimaj.math.matrix
-
Thin SVD based on Adrian Kuhn's wrapper around ARPACK.
- ThinSingularValueDecomposition(Matrix, int) - Constructor for class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
Perform thin SVD on matrix, calculating at most ndims dimensions.
- ThinSingularValueDecomposition(Matrix, int) - Constructor for class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
Perform thin SVD on matrix, calculating at most ndims dimensions.
- ThinSvdPrincipalComponentAnalysis - Class in org.openimaj.math.matrix.algorithm.pca
-
Compute the PCA using a thin SVD to extract the best-n principal
components directly.
- ThinSvdPrincipalComponentAnalysis(int) - Constructor for class org.openimaj.math.matrix.algorithm.pca.ThinSvdPrincipalComponentAnalysis
-
- thirdVertex() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- Thread - Interface in orgrdfs.sioc.ns
-
A container for a series of threaded discussion Posts or Items.
- ThreadedMatrixMulti - Class in org.openimaj.math.matrix
-
Perform a multithreaded matrix multiplication
- ThreadedMatrixMulti() - Constructor for class org.openimaj.math.matrix.ThreadedMatrixMulti
-
- ThreadedMatrixMulti(int, int) - Constructor for class org.openimaj.math.matrix.ThreadedMatrixMulti
-
- threadpool - Variable in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
-
The threadpool for parallel processing
- thresh - Variable in class org.openimaj.feature.local.matcher.BasicMatcher
-
- threshold - Variable in class org.openimaj.image.feature.dense.binarypattern.LocalTernaryPattern
-
- Threshold(float) - Constructor for class org.openimaj.image.feature.local.interest.IPDSelectionMode.Threshold
-
- threshold(Float) - Method in class org.openimaj.image.FImage
-
Set all values less than the given threshold to 0 and all others to 1.
- threshold(Q) - Method in class org.openimaj.image.Image
-
Set all values less than the given threshold to 0 and all others to 1.
- threshold(T) - Method in class org.openimaj.image.MultiBandImage
-
Sets the value of any pixel below the given threshold to zero and all
others to 1 for all bands.
- threshold(T[]) - Method in class org.openimaj.image.MultiBandImage
-
Set all values less than the given threshold to 0 and all others to 1.
- threshold(Float[]) - Method in class org.openimaj.image.SVGImage
-
- threshold(SparseMatrix, double) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Set values below the given threshold to zero in the output matrix.
- Threshold - Class in org.openimaj.math.matrix.similarity.processor
-
A similarity matrix processor that sets all values
less than a threshold to 0 and all other values to
1.
- Threshold(double) - Constructor for class org.openimaj.math.matrix.similarity.processor.Threshold
-
Default constructor.
- threshold - Variable in class org.openimaj.math.matrix.similarity.processor.Threshold
-
- threshold - Variable in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- threshold - Variable in class org.openimaj.ml.classification.StumpClassifier
-
The threshold which is the feature is tested against
- threshold - Variable in class org.openimaj.ml.clustering.incremental.IncrementalSparseClusterer
-
- threshold - Variable in class org.openimaj.ml.clustering.rac.IntRAC
-
- threshold - Variable in class org.openimaj.ml.clustering.rforest.RandomDecision
-
Feature threshold
- threshold - Variable in class org.openimaj.tools.faces.extraction.FaceExtractorToolOptions
-
The shot differential threshold to use for the shot boundary detector
- threshold - Variable in class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
The threshold to use to determine a shot boundary - this default is arbitrary
- ThresholdDistanceCheck - Class in org.openimaj.math.util.distance
-
Implementation of a
DistanceCheck
that tests the distance against a
fixed threshold.
- ThresholdDistanceCheck(double) - Constructor for class org.openimaj.math.util.distance.ThresholdDistanceCheck
-
Construct with the given threshold for checking the distance.
- ThresholdDoubleArrayKernelPerceptron - Class in org.openimaj.ml.linear.learner.perceptron
-
An implementation of a simple
KernelPerceptron
which works with
double array inputs and is binary.
- ThresholdDoubleArrayKernelPerceptron(VectorKernel) - Constructor for class org.openimaj.ml.linear.learner.perceptron.ThresholdDoubleArrayKernelPerceptron
-
- ThresholdDoubleArrayKernelPerceptron(double, double, VectorKernel) - Constructor for class org.openimaj.ml.linear.learner.perceptron.ThresholdDoubleArrayKernelPerceptron
-
- ThresholdSegmenter - Class in org.openimaj.image.segmentation
-
Simple wrapper to make thresholding algorithms into
Segmenter
s by
applying the thresholding operation and then gathering the pixel sets
belonging to each segment.
- ThresholdSegmenter(Processor<FImage>) - Constructor for class org.openimaj.image.segmentation.ThresholdSegmenter
-
Construct with the given thresholding algorithm implementation.
- thriftClientIterator(List<KestrelServerSpec>) - Static method in class org.openimaj.kestrel.KestrelServerSpec
-
- throughput - Variable in class backtype.storm.spout.AckStats
-
The measured throughput
- thumbnail - Variable in class org.openimaj.twitter.USMFStatus.Link
-
Direct href to thumbnail for item
- tick() - Method in class org.openimaj.hadoop.sequencefile.ExtractionState
-
- TICK_FONT - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- TICKS_PER_DEGREE - Static variable in class org.openimaj.hardware.turntable.Turntable
-
- TICKS_PER_RADIAN - Static variable in class org.openimaj.hardware.turntable.Turntable
-
- TICKS_PER_REVOLUTION - Static variable in class org.openimaj.hardware.turntable.Turntable
-
- ticksPerBeat - Variable in class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
-
Standard MIDI is generally 120 ticks per beat
- tilt - Variable in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation
-
The amount of tilt
- tilt - Variable in class org.openimaj.image.processing.transform.AffineParams
-
The amount of tilt
- tilt_angle() - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- tilt_angle(byte) - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
- tilt_status() - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
< State of the tilt motor (stopped, moving, etc...)
C type : freenect_tilt_status_code
- tilt_status(IntValuedEnum<libfreenectLibrary.freenect_tilt_status_code>) - Method in class org.openimaj.hardware.kinect.freenect.freenect_raw_tilt_state
-
< State of the tilt motor (stopped, moving, etc...)
C type : freenect_tilt_status_code
- tiltSum - Variable in class org.openimaj.image.analysis.algorithm.SummedSqTiltAreaTable
-
The tilted sum data
- Time - Annotation Type in org.openimaj.experiment.annotations
-
An annotation to mark that you want the execution time
of a method to be recorded during an experiment.
- time - Variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.JacardIndex
-
current time period
- time - Variable in class org.openimaj.vis.timeline.Timeline.TimelineMarker
-
The time of the marker
- TIME_DELTA - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord
-
- TIME_ELDEST - Static variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.CumulativeTimeWord
-
- TimeBasedValueAnimator<T> - Class in org.openimaj.content.animation.animator
-
An animator that will animate a value over a given time period.
- TimeBasedValueAnimator(T, T, long) - Constructor for class org.openimaj.content.animation.animator.TimeBasedValueAnimator
-
- TimeClassTransformer - Class in org.openimaj.experiment.agent
-
ClassFileTransformer
that dynamically augments classes and methods
annotated with
Time
annotations in order to register and collect the
method timing information.
- TimeClassTransformer() - Constructor for class org.openimaj.experiment.agent.TimeClassTransformer
-
- Timecode - Interface in org.openimaj.time
-
A top-level interface for objects that are able to represent
instants in temporal media.
- timecode - Variable in class org.openimaj.video.processing.shotdetector.ShotBoundary
-
The timecode of the shot boundary
- timecode - Variable in class org.openimaj.video.processing.shotdetector.VideoKeyframe
-
The timecode of the keyframe
- timecode - Variable in class org.openimaj.video.VideoFrame
-
The timecode of the frame
- TIMECOUNT_DIR - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
option for the timecount dir location
- TIMEDELTA - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
The time delta between time periods
- TimeFrequency() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency
-
default
- TimeFrequency(long, long) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency
-
initialise, presumed to be at the beginning of some time period so
the cumulative == the period frequency
- TimeFrequencyHolder - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
- TimeFrequencyHolder() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder
-
default
- TimeFrequencyHolder.TimeFrequency - Class in org.openimaj.hadoop.tools.twitter.token.mode.dfidf
-
Holds the number of a thing at a moment in time and the total number of
that thing seen across all time
- timeFromBinaryIdentity(byte[]) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- timeFromBinaryIdentity(byte[], int, int) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- TimeIndex - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
- TimeIndex() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.TimeIndex
-
- timeIndex - Variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordTimeValue
-
- TimeIndex.Map - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
Emits each word with the total number of times the word was seen
- TimeIndex.Reduce - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
Writes each word,count
- TIMEINDEX_FILE - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
A time index holding tweet totals and cumulative totals for each time
period
- TIMEINDEX_LOCATION_PROP - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod
-
A time index holding tweet totals and cumulative totals for each time
period
- TimeIndexReducer() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.TimeIndexReducer
-
- TimeKeeper<T extends Timecode> - Interface in org.openimaj.time
-
A time keeper knows what time it is.
- Timeline - Class in org.openimaj.vis.timeline
-
A timeline visualisation.
- Timeline(int, int) - Constructor for class org.openimaj.vis.timeline.Timeline
-
Default constructor
- Timeline.TimelineMarker - Class in org.openimaj.vis.timeline
-
Timeline markers that are drawn onto a timeline
- Timeline.TimelineMarkerType - Enum in org.openimaj.vis.timeline
-
Different type of markers.
- Timeline.TimelineObjectPlotter - Class in org.openimaj.vis.timeline
-
- Timeline.TimelineTrack - Class in org.openimaj.vis.timeline
-
Represents a track in the timeline.
- TimelineMarker() - Constructor for class org.openimaj.vis.timeline.Timeline.TimelineMarker
-
- TimelineObject - Interface in org.openimaj.vis.timeline
-
An object that can be drawn into a timeline needs to be able to provide
the start and end time of its data, and also be able to accept a size
at which it should draw itself.
- TimelineObjectAdapter<T> - Class in org.openimaj.vis.timeline
-
A timeline object is a temporal object and is able to drawn sections
of temporal data into a given viewport.
- TimelineObjectAdapter() - Constructor for class org.openimaj.vis.timeline.TimelineObjectAdapter
-
Default constructor.
- TimelineObjectPlotter() - Constructor for class org.openimaj.vis.timeline.Timeline.TimelineObjectPlotter
-
- TimelineTrack(String, int) - Constructor for class org.openimaj.vis.timeline.Timeline.TimelineTrack
-
Instantiate a new track with the given label.
- timeMap - Variable in class org.openimaj.image.processing.restoration.inpainting.AbstractFMMInpainter
-
The space-time map (T)
- TimePatternProvider - Class in org.openimaj.text.nlp.patterns
-
A regex to match times which look like: 18:00h
- TimePatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.TimePatternProvider
-
- timeperiod - Variable in class org.openimaj.hadoop.tools.twitter.utils.TimeperiodTweetCountWordCount
-
The timeperiod of these counts
- timeperiod - Variable in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
the measurment time period
- TIMEPERIOD_COUNT_OUTPUT_ROOT - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
The root directory where timeperiod pair counts will be stored
- TIMEPERIOD_OUTPUT_NAME - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
-
Name of the timeperiod count directory
- timeperiods() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- TimeperiodTweetCountWordCount - Class in org.openimaj.hadoop.tools.twitter.utils
-
Class encapsulating a number of tweets across which certain words were seen
- TimeperiodTweetCountWordCount() - Constructor for class org.openimaj.hadoop.tools.twitter.utils.TimeperiodTweetCountWordCount
-
empty words and 0 tweets
- TimeperiodTweetCountWordCount(long, long, long) - Constructor for class org.openimaj.hadoop.tools.twitter.utils.TimeperiodTweetCountWordCount
-
- timePMIBinary(long, double) - Static method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMIPairSort
-
write time pmi to a byte array
- timer() - Static method in class org.openimaj.time.NanoTimer
-
- Timer - Class in org.openimaj.time
-
Timer instances let you track time from start to end of some
process.
- Timer() - Constructor for class org.openimaj.time.Timer
-
Create a timer.
- timer() - Static method in class org.openimaj.time.Timer
-
- times(double) - Method in class ch.akuhn.matrix.DenseVector
-
- times(double) - Method in class ch.akuhn.matrix.SparseVector
-
- times(double[][], double) - Static method in class ch.akuhn.matrix.Util
-
Multiply by constant
- times(double) - Method in class ch.akuhn.matrix.Vector
-
Multiply by a constant, creating a new vector
- times(DiagonalMatrix, SparseMatrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Left multiply two matrices: R = D .
- times(SparseMatrix, DiagonalMatrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Right multiply two matrices: R = A .
- times(Matrix, double) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Multiply a matrix by a constant inplace, returning the matrix.
- times(Matrix, Matrix) - Method in class org.openimaj.math.matrix.ThreadedMatrixMulti
-
- times(double[][], double[][]) - Method in class org.openimaj.math.matrix.ThreadedMatrixMulti
-
- timesEquals(double) - Method in class ch.akuhn.matrix.DenseVector
-
- timesEquals(double) - Method in class ch.akuhn.matrix.SparseVector
-
- timesEquals(double) - Method in class ch.akuhn.matrix.Vector
-
Multiply by a constant in-place
- TimeSeries<DATA,SINGLE_TYPE,RETURNTYPE extends TimeSeries<DATA,SINGLE_TYPE,RETURNTYPE>> - Class in org.openimaj.ml.timeseries
-
A time series defines data at discrete points in time.
- TimeSeries() - Constructor for class org.openimaj.ml.timeseries.TimeSeries
-
- TimeSeriesArithmaticOperator<DATA,TS extends TimeSeries<?,DATA,TS>> - Interface in org.openimaj.ml.timeseries
-
An object which defines a set of arithmatic operations of the represented time series
- TimeSeriesCollection<ALLINPUT,SINGLEINPUT,TIMESERIES extends TimeSeriesCollection<ALLINPUT,SINGLEINPUT,TIMESERIES,INTERNALSERIES>,INTERNALSERIES extends TimeSeries<ALLINPUT,SINGLEINPUT,INTERNALSERIES>> - Class in org.openimaj.ml.timeseries.collection
-
A collection of time series which share exactly the same time steps.
- TimeSeriesCollection() - Constructor for class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
initialise the underlying time series holder
- TimeSeriesCollectionAggregator<TIMESERIES extends TimeSeries<?,?,TIMESERIES>,TSCOLLECTION extends TimeSeriesCollection<?,?,?,TIMESERIES>,OUTPUT> - Interface in org.openimaj.ml.timeseries.aggregator
-
A time series collection aggregators take as input a time series collection
and output a specified type
- TimeSeriesCollectionAssignable<DATA,TS extends TimeSeries<?,DATA,TS>> - Interface in org.openimaj.ml.timeseries.collection
-
An object which can initialise a time series based on two java collections for time and data
- TimeSeriesConverter<INPUTALL,INPUTSINGLE,INPUTTS extends TimeSeries<INPUTALL,INPUTSINGLE,INPUTTS>,OUTPUTALL,OUTPUTSINGLE,OUTPUTTS extends TimeSeries<OUTPUTALL,OUTPUTSINGLE,OUTPUTTS>> - Interface in org.openimaj.ml.timeseries.converter
-
- timeSeriesHolder - Variable in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
-
- TimeSeriesInterpolation - Class in org.openimaj.ml.timeseries.processor.interpolation
-
Interpolate values of a time series.
- TimeSeriesInterpolation() - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
The processor's times are set to default, i.e.
- TimeSeriesInterpolation(long, long, long) - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- TimeSeriesInterpolation(long, int, long) - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- TimeSeriesInterpolation(long, long, int) - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- TimeSeriesInterpolation(long[]) - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.TimeSeriesInterpolation
-
- TimeSeriesProcessor<ALLDATA,SINGLEDATA,TIMESERIES extends TimeSeries<ALLDATA,SINGLEDATA,TIMESERIES>> - Interface in org.openimaj.ml.timeseries.processor
-
A time series processor alters a type of
TimeSeries
in place.
- TimeSeriesSetException - Exception in org.openimaj.ml.timeseries
-
Thrown if time series are set with insufficient times/dates
- TimeSeriesSetException(String) - Constructor for exception org.openimaj.ml.timeseries.TimeSeriesSetException
-
Constructs a new TimeSeriesSetException with the given message.
- TimeSeriesSetException() - Constructor for exception org.openimaj.ml.timeseries.TimeSeriesSetException
-
Constructs a new TimeSeriesSetException with the default message.
- timesInplace(Matrix, double) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Multiply a matrix by a constant, storing the results in the input matrix.
- timesInplace(SparseMatrix, SparseMatrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- timesInplace(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- TimeSpanUtils - Class in org.openimaj.ml.timeseries.processor.interpolation.util
-
Some utility functions used by various
TimeSeries
classes to get
arrays of spans of time
- TimeSpanUtils() - Constructor for class org.openimaj.ml.timeseries.processor.interpolation.util.TimeSpanUtils
-
- TimeSplitMode - Class in org.openimaj.tools.reddit
-
The time split attempts to read times from the json items provided and splits
by WEEK,DAY,HOUR or MINUTE
- TimeSplitMode() - Constructor for class org.openimaj.tools.reddit.TimeSplitMode
-
- timestamp - Variable in class backtype.storm.spout.AckStats
-
The time measurment was taken
- timestamp - Variable in class org.openimaj.hardware.gps.NMEAMessage
-
- timestamp - Variable in class org.openimaj.time.Sequencer.SequencerEvent
-
The time at which the sequenced action should happen
- TimeTracker - Class in org.openimaj.experiment.agent
-
A class for tracking various execution times and generating
statistics.
- TimeTracker() - Constructor for class org.openimaj.experiment.agent.TimeTracker
-
- TimeWordJacardIndex - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.jacard
-
Count word instances (not occurences) across times.
- TimeWordJacardIndex() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.TimeWordJacardIndex
-
- TimeWordMapper - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.jacard
-
- TimeWordMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.jacard.TimeWordMapper
-
- title() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The title of the work
- title - Variable in class org.openimaj.twitter.USMFStatus.Link
-
Title of item
- title - Variable in class orgrdfs.sioc.ns.PostImpl
-
This is the title (subject line) of the Post.
- titleSeparatorRe - Static variable in class org.openimaj.web.readability.Readability.Regexps
-
- tm - Variable in class org.openimaj.storm.tool.StormToolOptions
-
The topology
- TmblrPhotoConsumer - Class in org.openimaj.web.scraping.images
-
Using a tumblr API key turn a Tmblr URL to an image id and call the tumblr
API's posts function.
- TmblrPhotoConsumer() - Constructor for class org.openimaj.web.scraping.images.TmblrPhotoConsumer
-
- TmblrPhotoConsumer(TumblrAPIToken) - Constructor for class org.openimaj.web.scraping.images.TmblrPhotoConsumer
-
Construct with the given api token
- tmOp - Variable in class org.openimaj.storm.tool.StormToolOptions
-
- TN - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
The total number of pairs in different clusters which belong to different classes
- to - Variable in class org.openimaj.math.graph.SimpleEdge
-
Second vertex
- to_users - Variable in class org.openimaj.twitter.USMFStatus
-
List of to users
- toArray() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- toArray(V[]) - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- toArray() - Method in class org.openimaj.util.array.ByteArrayView
-
Convert this view to an array.
- toArray() - Method in class org.openimaj.util.array.DoubleArrayView
-
Convert this view to an array.
- toArray() - Method in class org.openimaj.util.array.FloatArrayView
-
Convert this view to an array.
- toArray() - Method in class org.openimaj.util.array.IntArrayView
-
Convert this view to an array.
- toArray() - Method in class org.openimaj.util.array.LongArrayView
-
Convert this view to an array.
- toArray() - Method in class org.openimaj.util.array.ShortArrayView
-
Convert this view to an array.
- toArray() - Method in class org.openimaj.util.array.SparseByteArray
-
Convert this sparse array to a dense array.
- toArray(byte[]) - Method in class org.openimaj.util.array.SparseByteArray
-
Convert this sparse array to a dense array.
- toArray() - Method in class org.openimaj.util.array.SparseDoubleArray
-
Convert this sparse array to a dense array.
- toArray(double[]) - Method in class org.openimaj.util.array.SparseDoubleArray
-
Convert this sparse array to a dense array.
- toArray() - Method in class org.openimaj.util.array.SparseFloatArray
-
Convert this sparse array to a dense array.
- toArray(float[]) - Method in class org.openimaj.util.array.SparseFloatArray
-
Convert this sparse array to a dense array.
- toArray() - Method in class org.openimaj.util.array.SparseIntArray
-
Convert this sparse array to a dense array.
- toArray(int[]) - Method in class org.openimaj.util.array.SparseIntArray
-
Convert this sparse array to a dense array.
- toArray() - Method in class org.openimaj.util.array.SparseLongArray
-
Convert this sparse array to a dense array.
- toArray(long[]) - Method in class org.openimaj.util.array.SparseLongArray
-
Convert this sparse array to a dense array.
- toArray() - Method in class org.openimaj.util.array.SparseShortArray
-
Convert this sparse array to a dense array.
- toArray(short[]) - Method in class org.openimaj.util.array.SparseShortArray
-
Convert this sparse array to a dense array.
- toArray() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Returns an array containing all of the elements in this queue, in proper
sequence.
- toArray(T[]) - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
Returns an array containing all of the elements in this queue, in proper
sequence; the runtime type of the returned array is that of the specified
array.
- toArray(E[]) - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- toArray() - Method in class org.openimaj.util.list.AbstractFileBackedList
-
- toArray() - Method in class org.openimaj.util.set.DisjointSetForest
-
- toArray(E[]) - Method in class org.openimaj.util.set.DisjointSetForest
-
- toByteImage() - Method in class org.openimaj.image.FImage
-
Convert the image to a byte representation suitable for writing to a pnm
type format.
- toByteImage() - Method in class org.openimaj.image.Image
-
Convert the image to a byte representation suitable for writing to a pnm
type format.
- toByteImage() - Method in class org.openimaj.image.MultiBandImage
-
Convert the image to a byte representation suitable for writing to a pnm
type format.
- toByteImage() - Method in class org.openimaj.image.SVGImage
-
- toClusters() - Method in class org.openimaj.experiment.dataset.cluster.ClusterEvalDataset
-
- toColJama(Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- toCSVString() - Method in class org.openimaj.web.layout.ElementInfo
-
- toEllipse() - Method in class org.openimaj.math.geometry.shape.Polygon
-
- toFImage() - Method in class org.openimaj.image.pixel.PixelSet
-
Returns a mask image for this connected component that will be the size
of this component's bounding box.
- toFImage(int) - Method in class org.openimaj.image.pixel.PixelSet
-
Returns a mask image for this connected component that will be the size
of this component's bounding box plus a border of the given amount of
padding.
- toFloatFV(DoubleFV) - Static method in class org.openimaj.feature.conversion.FVConverter
-
- toFloatFV(FeatureVector) - Static method in class org.openimaj.feature.conversion.FVConverter
-
- togglePause() - Method in class org.openimaj.video.VideoDisplay
-
Pause or resume the display.
- toIdentifiable() - Method in class org.openimaj.data.dataset.ReadableListDataset
-
Create a view of this dataset in which the instances are wrapped up in
IdentifiableObject
s.
- toImage(IVideoPicture) - Method in class org.openimaj.video.xuggle.XuggleVideo.MBFImageConverter
-
- toJama(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- toJavaDefinition(String, boolean) - Method in class org.openimaj.rdf.owl2java.PropertyDef
-
Outputs a Java definition for the property, including a comment if there
is a comment for the property.
- toJavaString(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Format a matrix as a single-line string suitable for using in java
- toJson() - Method in class org.openimaj.twitter.USMFStatus
-
- tok1count - Variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairUnaryCount
-
count of token 1 pairs
- tok2count - Variable in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairUnaryCount
-
count of token 2 pairs
- Token - Annotation Type in org.openimaj.util.api.auth
-
Metadata describing an API token
- TOKEN_MODEL_PROP - Static variable in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPTokenAnnotator
-
- TokenAnnotation - Class in org.openimaj.text.nlp.textpipe.annotations
-
- TokenAnnotation(String, String, int, int) - Constructor for class org.openimaj.text.nlp.textpipe.annotations.TokenAnnotation
-
- TokenFactory - Interface in org.openimaj.util.api.auth
-
Interface describing a class capable of providing API tokens.
- tokenise(String) - Method in class org.openimaj.text.nlp.textpipe.annotators.DefaultTokenAnnotator
-
- tokenise(String) - Method in class org.openimaj.text.nlp.textpipe.annotators.OpenNLPTokenAnnotator
-
- TokeniseMode - Class in org.openimaj.tools.twitter.modes.preprocessing
-
Use the twokeniser to tokenise tweets
- TokeniseMode() - Constructor for class org.openimaj.tools.twitter.modes.preprocessing.TokeniseMode
-
literally do nothing
- TokenListSentimentAnnotator<EXTRACTOR extends FeatureExtractor<?,List<String>>,CLONETYPE extends SentimentAnnotator<List<String>,CLONETYPE>> - Class in org.openimaj.text.nlp.sentiment.model
-
A sentiment annotator which can deal with word tokens
- TokenListSentimentAnnotator(EXTRACTOR) - Constructor for class org.openimaj.text.nlp.sentiment.model.TokenListSentimentAnnotator
-
- TokenMatchMode - Class in org.openimaj.hadoop.tools.twitter.token.mode.match
-
- TokenMatchMode() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenMatchMode
-
- TokenPairCount - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
A pair of strings with 2 distinct counts:
number of times the pair appears together in a document
- TokenPairCount() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- TokenPairCount(String, String) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- TokenPairCount(String) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- TokenPairKeyComparator - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
Read a tokenpair and make sure the single words appear before the pair words
- TokenPairKeyComparator() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairKeyComparator
-
- TokenPairPartitioner - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
- TokenPairPartitioner() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairPartitioner
-
- TokenPairUnaryCount - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
A Pair count with a unary count for each item of the pair.
- TokenPairUnaryCount() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairUnaryCount
-
Convenience
- TokenPairUnaryCount(String, String, long, long, long) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairUnaryCount
-
- TokenPairUnaryCount(TokenPairCount, long, long) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairUnaryCount
-
- TokenPairValueGroupingComparator - Class in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
-
Read a tokenpair and make sure the single words appear before the pair words
- TokenPairValueGroupingComparator() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairValueGroupingComparator
-
- TokenRegexMapper - Class in org.openimaj.hadoop.tools.twitter.token.mode.match
-
For each tweet match each token against each regex.
- TokenRegexMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexMapper
-
- TokenRegexStage - Class in org.openimaj.hadoop.tools.twitter.token.mode.match
-
If tokens in set of terms spit out the whole line, otherwise ignore.
- TokenRegexStage(List<String>, String[]) - Constructor for class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexStage
-
- TOKENS_ALL - Static variable in class org.openimaj.tools.twitter.modes.preprocessing.TokeniseMode
-
- TOKENS_PROTECTED - Static variable in class org.openimaj.tools.twitter.modes.preprocessing.TokeniseMode
-
- TOKENS_UNPROTECTED - Static variable in class org.openimaj.tools.twitter.modes.preprocessing.TokeniseMode
-
- TokenSentimentAnnotator<EXTRACTOR extends FeatureExtractor<?,String>,CLONETYPE extends SentimentAnnotator<String,CLONETYPE>> - Class in org.openimaj.text.nlp.sentiment.model
-
A sentiment annotator which can deal with word tokens
- TokenSentimentAnnotator(EXTRACTOR) - Constructor for class org.openimaj.text.nlp.sentiment.model.TokenSentimentAnnotator
-
- tokensMatched - Variable in class org.openimaj.text.nlp.textpipe.annotations.NamedEntityAnnotation
-
Tokens matched by this Named Entity
- toMatlabString(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Format a matrix as a single-line string suitable for using in matlab or
octave
- toMLArray(String, Matrix) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Convert a matlab MLArray
to a Matrix
- toMTJ(Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- ToolMode - Interface in org.openimaj.tools.similaritymatrix.modes
-
- toOrderedArray() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Returns an array containing all of the elements in this queue.
- toOrderedArray(T[]) - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Returns a sorted array containing all of the elements in this queue; the
runtime type of the returned array is that of the specified array.
- toOrderedArrayDestructive() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Returns an array containing all of the elements in this queue.
- toOrderedArrayDestructive(T[]) - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Returns a sorted array containing all of the elements in this queue; the
runtime type of the returned array is that of the specified array.
- toOrderedList() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Create a new list with the contents of the queue and sort them into their
natural order, or the order specified by the
Comparator
used in
constructing the queue.
- toOrderedListDestructive() - Method in class org.openimaj.util.queue.BoundedPriorityQueue
-
Create a new list with the contents of the queue with the elements
inserted in their natural order, or the order specified by the
Comparator
used in constructing the queue.
- top - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Edge upper (x, y) coordinate
- top_node - Variable in class org.openimaj.math.geometry.shape.util.polygon.AetTree
-
- top_node - Variable in class org.openimaj.math.geometry.shape.util.polygon.LmtTable
-
- TOP_RIGHT_X - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- TOP_RIGHT_Y - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- toPackedARGBPixels() - Method in class org.openimaj.image.FImage
-
Returns a 1D array representation of this image with each pixel
represented as a packed ARGB integer.
- toPackedARGBPixels() - Method in class org.openimaj.image.Image
-
Returns a 1D array representation of this image with each pixel
represented as a packed ARGB integer.
- toPackedARGBPixels() - Method in class org.openimaj.image.MultiBandImage
-
Returns a 1D array representation of this image with each pixel
represented as a packed ARGB integer.
- toPackedARGBPixels() - Method in class org.openimaj.image.SVGImage
-
- topicTotal - Variable in class org.openimaj.pgm.vb.lda.mle.LDAModel
-
The maximum likelihood sufficient statistics for estimation of Beta.
- topicWord - Variable in class org.openimaj.pgm.vb.lda.mle.LDAModel
-
The maximum likelihood sufficient statistics for estimation of Beta.
- topLeftMostPixel() - Method in class org.openimaj.image.pixel.PixelSet
-
Gets the top-left most pixel within the connected component.
- topologyCleanup() - Method in class org.openimaj.storm.tool.StormToolOptions
-
- TopologyMode - Interface in org.openimaj.rdf.storm.tool.topology
-
A topoogy mode controls how a topology is submitted
- TopologyModeOption - Enum in org.openimaj.rdf.storm.tool.topology
-
Topology submission instructions.
- topologyName() - Method in class org.openimaj.storm.tool.StormToolOptions
-
- toPolygon() - Method in class org.openimaj.image.pixel.ConnectedComponent
-
Converts this connected component into a
Polygon
representation
by performing a 4-connected boundary trace and converting the resulting
pixels into vertices.
- TopPolygonNode - Class in org.openimaj.math.geometry.shape.util.polygon
-
- TopPolygonNode() - Constructor for class org.openimaj.math.geometry.shape.util.polygon.TopPolygonNode
-
- toPythonString(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Format a matrix as a single-line string suitable for using in python
- toRGB() - Method in class org.openimaj.image.FImage
-
- toRowJama(Vector) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
- toSettersAndGetters(String, boolean, String, boolean) - Method in class org.openimaj.rdf.owl2java.PropertyDef
-
Generates setters and getters for the property.
- toSingleHistogram() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
-
- toString() - Method in class ch.akuhn.matrix.Matrix
-
- toString() - Method in class ch.akuhn.matrix.Vector
-
- toString() - Method in class net.lag.kestrel.thrift.Item
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- toString() - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- toString() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- toString() - Method in class org.lemurproject.ireval.SetRetrievalEvaluator
-
- toString() - Method in class org.openimaj.audio.AudioDevice
- toString() - Method in class org.openimaj.audio.AudioFormat
- toString() - Method in class org.openimaj.audio.filters.MelFilter
- toString() - Method in class org.openimaj.audio.filters.TriangularFilter
- toString() - Method in class org.openimaj.audio.timecode.AudioTimecode
- toString() - Method in class org.openimaj.audio.timecode.MeasuresBeatsTicksTimecode
- toString() - Method in class org.openimaj.audio.util.WesternScaleNote
- toString() - Method in class org.openimaj.data.dataset.ListBackedDataset
-
- toString() - Method in class org.openimaj.data.dataset.MapBackedDataset
-
- toString() - Method in class org.openimaj.data.dataset.VFSGroupDataset
-
- toString() - Method in class org.openimaj.data.dataset.VFSListDataset
-
- toString() - Method in class org.openimaj.demos.Demos.DemoObject
-
- toString() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult
-
- toString() - Method in class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMResult
-
- toString() - Method in class org.openimaj.experiment.evaluation.classification.analysers.roc.ROCResult
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.AdjustedRandomIndexAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.ClusterStatsAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.FScoreAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.NMIAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.PurityAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineClusterAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomBaselineSMEAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.cluster.analyser.RandomIndexAnalysis
-
- toString() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.IREvalResult
-
- toString() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.PrecisionAtNResult
-
- toString() - Method in class org.openimaj.experiment.evaluation.retrieval.analysers.TRECResult
-
- toString() - Method in class org.openimaj.experiment.ExperimentContext
-
- toString() - Method in class org.openimaj.experiment.gmm.retrieval.UKBenchGroupDataset
-
- toString() - Method in class org.openimaj.experiment.validation.cross.GroupedKFold
-
- toString() - Method in class org.openimaj.experiment.validation.cross.GroupedLeaveOneOut
-
- toString() - Method in class org.openimaj.experiment.validation.cross.KFold
-
- toString() - Method in class org.openimaj.experiment.validation.cross.LeaveOneOut
-
- toString() - Method in class org.openimaj.experiment.validation.cross.StratifiedGroupedKFold
-
- toString() - Method in class org.openimaj.feature.ByteFV
-
- toString() - Method in class org.openimaj.feature.CachingFeatureExtractor
-
- toString() - Method in class org.openimaj.feature.DiskCachingFeatureExtractor
-
- toString() - Method in class org.openimaj.feature.DoubleFV
-
- toString() - Method in class org.openimaj.feature.FloatFV
-
- toString() - Method in class org.openimaj.feature.IntFV
-
- toString() - Method in class org.openimaj.feature.LongFV
-
- toString() - Method in class org.openimaj.feature.MultidimensionalByteFV
-
- toString() - Method in class org.openimaj.feature.MultidimensionalDoubleFV
-
- toString() - Method in class org.openimaj.feature.MultidimensionalFloatFV
-
- toString() - Method in class org.openimaj.feature.MultidimensionalIntFV
-
- toString() - Method in class org.openimaj.feature.MultidimensionalLongFV
-
- toString() - Method in class org.openimaj.feature.MultidimensionalShortFV
-
- toString() - Method in class org.openimaj.feature.ShortFV
-
- toString() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency
-
- toString() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder
-
- toString() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairCount
-
- toString() - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.stats.StatsWordMatch
-
- toString() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
- toString() - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDFTimeSeriesCollection
-
- toString() - Method in class org.openimaj.hardware.compass.CompassData
-
- toString() - Method in class org.openimaj.hardware.kinect.KinectAcceleration
-
- toString() - Method in class org.openimaj.image.analysis.watershed.Component
- toString() - Method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Record
-
- toString() - Method in class org.openimaj.image.annotation.evaluation.datasets.MMSys2013.Response
-
- toString() - Method in class org.openimaj.image.camera.CameraIntrinsics
-
- toString() - Method in class org.openimaj.image.connectedcomponent.proc.AffineInvariantMoments
-
- toString() - Method in class org.openimaj.image.connectedcomponent.proc.HuMoments
-
- toString() - Method in class org.openimaj.image.contour.Contour
-
- toString() - Method in class org.openimaj.image.dataset.FlickrImageDataset
-
- toString() - Method in class org.openimaj.image.feature.astheticode.Aestheticode
-
- toString() - Method in class org.openimaj.image.feature.dense.gradient.dsift.ByteDSIFTKeypoint
-
- toString() - Method in class org.openimaj.image.feature.dense.gradient.dsift.FloatDSIFTKeypoint
-
- toString() - Method in class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint
-
- toString() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- toString() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- toString() - Method in class org.openimaj.image.feature.local.keypoints.SIFTGeoKeypoint
-
- toString() - Method in class org.openimaj.image.FImage
- toString(String) - Method in class org.openimaj.image.FImage
-
- toString() - Method in class org.openimaj.image.model.EigenImages
-
- toString() - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
-
- toString() - Method in class org.openimaj.image.pixel.FValuePixel
- toString() - Method in class org.openimaj.image.pixel.GenericValuePixel
- toString() - Method in class org.openimaj.image.pixel.IntValuePixel
- toString() - Method in class org.openimaj.image.pixel.Pixel
- toString() - Method in class org.openimaj.image.pixel.PixelSet
- toString() - Method in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
-
- toString() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
-
- toString() - Method in class org.openimaj.image.pixel.statistics.FStatisticalPixelProfileModel
-
- toString() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
-
- toString() - Method in class org.openimaj.image.pixel.statistics.MBFStatisticalPixelProfileModel
-
- toString() - Method in class org.openimaj.image.processing.face.alignment.IdentityAligner
-
- toString() - Method in class org.openimaj.image.processing.face.detection.benchmarking.Matcher.Match
-
- toString() - Method in class org.openimaj.image.processing.face.detection.benchmarking.Results
-
- toString() - Method in class org.openimaj.image.processing.face.detection.HaarCascadeDetector
-
- toString() - Method in class org.openimaj.image.processing.face.detection.IdentityFaceDetector
-
- toString() - Method in class org.openimaj.image.processing.face.detection.keypoints.FKEFaceDetector
-
- toString() - Method in class org.openimaj.image.processing.face.feature.comparison.FaceFVComparator
-
- toString() - Method in class org.openimaj.image.processing.face.feature.comparison.LtpDtFeatureComparator
-
- toString() - Method in class org.openimaj.image.processing.face.feature.comparison.ReversedLtpDtFeatureComparator
-
- toString() - Method in class org.openimaj.image.processing.face.feature.EigenFaceFeature.Extractor
-
- toString() - Method in class org.openimaj.image.processing.face.feature.LocalLBPHistogram.Extractor
-
- toString() - Method in class org.openimaj.image.processing.face.feature.ltp.GaussianWeighting
-
- toString() - Method in class org.openimaj.image.processing.face.feature.ltp.LtpDtFeature.Extractor
-
- toString() - Method in class org.openimaj.image.processing.face.feature.ltp.TruncatedWeighting
-
- toString() - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- toString() - Method in class org.openimaj.image.processing.face.recognition.benchmarking.dataset.TextFileDataset
-
- toString() - Method in class org.openimaj.image.processing.face.recognition.EigenFaceRecogniser
-
- toString() - Method in class org.openimaj.image.processing.face.recognition.FisherFaceRecogniser
-
- toString() - Method in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
- toString() - Method in class org.openimaj.image.processing.morphology.StructuringElement
-
- toString() - Method in class org.openimaj.image.processing.transform.AffineParams
-
- toString() - Method in class org.openimaj.image.text.extraction.swt.LetterCandidate
-
- toString() - Method in class org.openimaj.math.geometry.line.Line2d
-
- toString() - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- toString() - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- toString() - Method in class org.openimaj.math.geometry.point.PointList
-
- toString() - Method in class org.openimaj.math.geometry.shape.Circle
-
- toString() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- toString() - Method in class org.openimaj.math.geometry.shape.Polygon
-
Displays the complete list of vertices unless the number of vertices is
greater than 10 - then a sublist is shown of 5 from the start and 5 from
the end separated by ellipses.
- toString() - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- toString() - Method in class org.openimaj.math.geometry.shape.Rectangle3D
-
- toString() - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- toString() - Method in class org.openimaj.math.geometry.shape.Triangle
-
- toString() - Method in class org.openimaj.math.geometry.shape.util.polygon.BundleState
-
- toString() - Method in class org.openimaj.math.geometry.shape.util.polygon.OperationType
-
- toString() - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel
-
- toString() - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel3d
-
- toString() - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
-
- toString() - Method in class org.openimaj.math.matrix.EigenValueVectorPair
-
- toString(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
Generate a
String
representation of a matrix.
- toString() - Method in class org.openimaj.math.matrix.similarity.processor.MultidimensionalScaling
-
- toString() - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
- toString() - Method in class org.openimaj.math.model.LeastSquaresLinearModel
-
- toString() - Method in class org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian
-
- toString() - Method in class org.openimaj.math.util.Complex
-
Text representation of this complex number.
- toString() - Method in class org.openimaj.ml.annotation.ScoredAnnotation
-
- toString() - Method in class org.openimaj.ml.clustering.ByteCentroidsResult
-
- toString() - Method in class org.openimaj.ml.clustering.dbscan.DBSCANClusters
-
- toString() - Method in class org.openimaj.ml.clustering.dbscan.DoubleNNDBSCAN
-
- toString() - Method in class org.openimaj.ml.clustering.dbscan.SparseMatrixDBSCAN
-
- toString() - Method in class org.openimaj.ml.clustering.DoubleCentroidsResult
-
- toString() - Method in class org.openimaj.ml.clustering.FeatureVectorCentroidsResult
-
- toString() - Method in class org.openimaj.ml.clustering.FloatCentroidsResult
-
- toString() - Method in class org.openimaj.ml.clustering.IndexClusters
-
- toString() - Method in class org.openimaj.ml.clustering.IntCentroidsResult
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
-
- toString() - Method in class org.openimaj.ml.clustering.kmeans.SphericalKMeansResult
-
- toString() - Method in class org.openimaj.ml.clustering.LongCentroidsResult
-
- toString() - Method in class org.openimaj.ml.clustering.rforest.RandomDecision
-
- toString() - Method in class org.openimaj.ml.clustering.rforest.RandomDecisionTree
-
- toString() - Method in class org.openimaj.ml.clustering.ShortCentroidsResult
-
- toString() - Method in class org.openimaj.ml.clustering.spectral.AbsoluteValueEigenChooser
-
- toString() - Method in class org.openimaj.ml.clustering.spectral.DoubleSpectralClustering
-
- toString() - Method in class org.openimaj.ml.clustering.spectral.HardCodedEigenChooser
-
- toString() - Method in interface org.openimaj.ml.clustering.spectral.SpectralClusteringConf.ClustererProvider
-
- toString() - Method in class org.openimaj.ml.clustering.spectral.SpectralClusteringConf.DefaultClustererFunction
-
- toString() - Method in class org.openimaj.ml.linear.learner.BilinearLearnerParameters
-
- toString() - Method in class org.openimaj.ml.regression.LinearRegression
-
- toString() - Method in class org.openimaj.ml.timeseries.collection.SynchronisedTimeSeriesCollection
-
- toString() - Method in class org.openimaj.ml.timeseries.series.ConcreteTimeSeries
-
- toString() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeries
-
- toString() - Method in class org.openimaj.ml.timeseries.series.DoubleTimeSeriesCollection
-
- toString() - Method in class org.openimaj.ml.timeseries.TimeSeries
-
- toString() - Method in class org.openimaj.picslurper.output.WriteableImageOutput
-
- toString() - Method in class org.openimaj.rdf.owl2java.ClassDef
-
Outputs the Java class definition for this class def
- toString() - Method in class org.openimaj.rdf.owl2java.PropertyDef
- toString() - Method in class org.openimaj.storm.util.graph.StormGraphCreator.NamedNode
-
- toString() - Method in class org.openimaj.stream.provider.WikipediaEditsDataset.WikipediaEdit
-
- toString() - Method in class org.openimaj.text.geo.WorldPlace
-
- toString() - Method in class org.openimaj.text.nlp.language.LanguageDetector.WeightedLocale
-
- toString() - Method in class org.openimaj.text.nlp.namedentity.NamedEntity
-
- toString() - Method in class org.openimaj.text.nlp.sentiment.type.BipolarSentiment
-
- toString() - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
-
- toString() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- toString() - Method in class org.openimaj.time.Sequencer.SequencerEvent
- toString() - Method in class org.openimaj.tools.clusterquantiser.samplebatch.SampleBatch
-
- toString() - Method in class org.openimaj.twitter.finance.YahooFinanceData
-
- toString() - Method in class org.openimaj.twitter.USMFStatus
-
- toString(double[], String) - Static method in class org.openimaj.util.array.ArrayUtils
-
Format the array as a string, using the provided format
string to control how each value is printed.
- toString(float[], String) - Static method in class org.openimaj.util.array.ArrayUtils
-
Format the array as a string, using the provided format
string to control how each value is printed.
- toString(int[], String) - Static method in class org.openimaj.util.array.ArrayUtils
-
Format the array as a string, using the provided format
string to control how each value is printed.
- toString(long[], String) - Static method in class org.openimaj.util.array.ArrayUtils
-
Format the array as a string, using the provided format
string to control how each value is printed.
- toString(byte[], String) - Static method in class org.openimaj.util.array.ArrayUtils
-
Format the array as a string, using the provided format
string to control how each value is printed.
- toString(short[], String) - Static method in class org.openimaj.util.array.ArrayUtils
-
Format the array as a string, using the provided format
string to control how each value is printed.
- toString(String[], String) - Static method in class org.openimaj.util.array.ArrayUtils
-
Convert the array to a
String
by joining the elements with the
given glue.
- toString() - Method in class org.openimaj.util.array.ByteArrayView
-
- toString() - Method in class org.openimaj.util.array.DoubleArrayView
-
- toString() - Method in class org.openimaj.util.array.FloatArrayView
-
- toString() - Method in class org.openimaj.util.array.IntArrayView
-
- toString() - Method in class org.openimaj.util.array.LongArrayView
-
- toString() - Method in class org.openimaj.util.array.ShortArrayView
-
- toString() - Method in class org.openimaj.util.concurrent.ArrayBlockingDroppingQueue
-
- toString() - Method in class org.openimaj.util.pair.ByteBytePair
-
- toString() - Method in class org.openimaj.util.pair.ByteDoublePair
-
- toString() - Method in class org.openimaj.util.pair.ByteFloatPair
-
- toString() - Method in class org.openimaj.util.pair.ByteIntPair
-
- toString() - Method in class org.openimaj.util.pair.ByteLongPair
-
- toString() - Method in class org.openimaj.util.pair.ByteShortPair
-
- toString() - Method in class org.openimaj.util.pair.DoubleBytePair
-
- toString() - Method in class org.openimaj.util.pair.DoubleDoublePair
-
- toString() - Method in class org.openimaj.util.pair.DoubleFloatPair
-
- toString() - Method in class org.openimaj.util.pair.DoubleIntPair
-
- toString() - Method in class org.openimaj.util.pair.DoubleLongPair
-
- toString() - Method in class org.openimaj.util.pair.DoubleShortPair
-
- toString() - Method in class org.openimaj.util.pair.FloatBytePair
-
- toString() - Method in class org.openimaj.util.pair.FloatDoublePair
-
- toString() - Method in class org.openimaj.util.pair.FloatFloatPair
-
- toString() - Method in class org.openimaj.util.pair.FloatIntPair
-
- toString() - Method in class org.openimaj.util.pair.FloatLongPair
-
- toString() - Method in class org.openimaj.util.pair.FloatShortPair
-
- toString() - Method in class org.openimaj.util.pair.IndependentPair
-
- toString() - Method in class org.openimaj.util.pair.IntBytePair
-
- toString() - Method in class org.openimaj.util.pair.IntDoublePair
-
- toString() - Method in class org.openimaj.util.pair.IntFloatPair
-
- toString() - Method in class org.openimaj.util.pair.IntIntPair
-
- toString() - Method in class org.openimaj.util.pair.IntLongPair
-
- toString() - Method in class org.openimaj.util.pair.IntShortPair
-
- toString() - Method in class org.openimaj.util.pair.LongBytePair
-
- toString() - Method in class org.openimaj.util.pair.LongDoublePair
-
- toString() - Method in class org.openimaj.util.pair.LongFloatPair
-
- toString() - Method in class org.openimaj.util.pair.LongIntPair
-
- toString() - Method in class org.openimaj.util.pair.LongLongPair
-
- toString() - Method in class org.openimaj.util.pair.LongShortPair
-
- toString() - Method in class org.openimaj.util.pair.Pair
-
- toString() - Method in class org.openimaj.util.pair.ShortBytePair
-
- toString() - Method in class org.openimaj.util.pair.ShortDoublePair
-
- toString() - Method in class org.openimaj.util.pair.ShortFloatPair
-
- toString() - Method in class org.openimaj.util.pair.ShortIntPair
-
- toString() - Method in class org.openimaj.util.pair.ShortLongPair
-
- toString() - Method in class org.openimaj.util.pair.ShortShortPair
-
- toString() - Method in class org.openimaj.util.tree.TreeNodeImpl
-
- toString() - Method in class org.openimaj.utils.threads.InterruptibleCharSequence
-
- toString() - Method in class org.openimaj.video.capture.Device
-
- toString() - Method in class org.openimaj.video.processing.shotdetector.FadeShotBoundary
- toString() - Method in class org.openimaj.video.processing.shotdetector.ShotBoundary
- toString() - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode
- toString() - Method in class org.openimaj.video.timecode.HrsMinSecFrameTimecode
- toString(String, String) - Method in class org.openimaj.video.tracking.klt.Feature
-
Convert to string representation with the given format
- toString() - Method in class org.openimaj.video.tracking.klt.Feature
-
- toString() - Method in class org.openimaj.video.tracking.klt.FeatureHistory
-
- toString(String, boolean) - Method in class org.openimaj.video.tracking.klt.FeatureList
-
Convert to a string representation with the given format.
- toString() - Method in class org.openimaj.video.tracking.klt.FeatureList
-
- toString(String, boolean) - Method in class org.openimaj.video.tracking.klt.FeatureTable
-
Convert to a string representation.
- toString() - Method in class org.openimaj.video.tracking.klt.FeatureTable
-
- toString() - Method in class org.openimaj.video.tracking.klt.TrackingContext
-
KLTPrintTrackingContext
- toString() - Method in class org.openimaj.vis.general.BarVisualisation.Bar
-
- toString() - Method in class org.openimaj.vis.world.WorldPlace
- toString() - Method in class org.openimaj.web.layout.ElementInfo
-
- toString() - Method in class org.openimaj.web.readability.Anchor
-
- toString() - Method in class org.openimaj.web.readability.Readability.MappingNode
-
- toString() - Method in class org.openimaj.web.scraping.images.ImgurClient.ImgurTypeHash
-
- toStringImage() - Method in class org.openimaj.image.pixel.PixelSet
-
Returns an ASCII representation of the connected component as a mask;
where the output is "1" for a pixel within the mask and "0" for a pixel
outside of the mask.
- total() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
-
- TOTAL_TIME - Static variable in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.Map
-
A total of the number of tweets, must be ignored!
- TotalLexBuilder - Class in org.openimaj.text.nlp.sentiment.lexicon
-
An implementation of Hatzivassiloglou and McKeown's approach to a
semisupervised method of building a bipolar sentiment lexicon.
- TotalLexBuilder(List<String>, List<String>) - Constructor for class org.openimaj.text.nlp.sentiment.lexicon.TotalLexBuilder
-
Constructor.
- TotalLexBuilder.Counter - Class in org.openimaj.text.nlp.sentiment.lexicon
-
Easily incremented object for counting.
- totalSamples - Variable in class org.openimaj.ml.clustering.rac.IntRAC
-
- toUndirectedUnweightedGraph(double) - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
-
Convert the similarity matrix to an unweighted, undirected
graph representation.
- toUnitVector() - Method in class org.openimaj.math.geometry.line.Line2d
-
Convert the line to a unit vector
- TP - Variable in class org.openimaj.experiment.evaluation.cluster.analyser.DecisionAnalysis
-
The total number of pairs in a cluster which belong to the same class
- trace(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
- track(FImage, int[], int, int, double, double, boolean) - Method in class com.jsaragih.Tracker
-
- track(MBFImage) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Track the face in the given frame.
- track(FImage) - Method in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
Track the face in the given frame.
- track(FImage, int[], int, int, double, double, boolean, float) - Method in class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
Track faces from a previous frame to the given frame.
- TrackedFace(Rectangle, MultiTracker.TrackerVars) - Constructor for class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace
-
- trackedFaces - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker
-
- Tracker - Class in com.jsaragih
-
The initial ported version of the CLMTracker that can only track a single
face in an image.
- TrackerVars() - Constructor for class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackerVars
-
- trackFace(I) - Method in interface org.openimaj.image.processing.face.tracking.FaceTracker
-
Given the image, can a face be tracked on the image.
- trackFace(FImage) - Method in class org.openimaj.image.processing.face.tracking.KLTHaarFaceTracker
-
Given the image, can a face be tracked on the image.
- trackFeatures(FImage, FImage) - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
KLTTrackFeatures
Tracks feature points from one image to the next.
- trackFeatures(FImage, FImage, PyramidSet, PyramidSet) - Method in class org.openimaj.video.tracking.klt.KLTTracker
-
KLTTrackFeatures
Tracks feature points from one image to the next.
- TrackingContext - Class in org.openimaj.video.tracking.klt
-
klt.c
Kanade-Lucas-Tomasi tracker
- TrackingContext() - Constructor for class org.openimaj.video.tracking.klt.TrackingContext
-
KLTCreateTrackingContext
- trackObject(ObjectTracker<O, I>, Video<I>, VideoTimecode, Rectangle, ObjectTimeFinder.TimeFinderListener<O, I>) - Method in class org.openimaj.video.processing.timefinder.ObjectTimeFinder
-
Given a video, a keyframe (timecode) and a region of the image,
this method will attempt to track the the contents of the rectangle
from the given frame, back and forth to find the place
at which the object appears and disappears from the video.
- trackObject(MBFImage) - Method in class org.openimaj.video.processing.tracking.BasicMBFImageObjectTracker
-
Track the object in the image.
- trackObject(FImage) - Method in class org.openimaj.video.processing.tracking.BasicObjectTracker
-
Reset this tracker using the given image
- trackObject(I) - Method in interface org.openimaj.video.processing.tracking.ObjectTracker
-
Track the object in the image.
- trackObject(MBFImage) - Method in class org.openimaj.vis.video.VideoObjectVisualisation
-
Tracks an object within the frame and returns a set of points
that somehow delineate the object or give its position.
- train(Annotated<DoubleFV, String>) - Method in class org.openimaj.audio.AudioAnnotator
-
Train/update object using a new instance.
- train(List<? extends FImage>) - Method in class org.openimaj.image.model.EigenImages
-
- train(Map<?, ? extends List<FImage>>) - Method in class org.openimaj.image.model.FisherImages
-
Train on a map of data.
- train(GroupedDataset<KEY, ? extends ListDataset<FImage>, FImage>) - Method in class org.openimaj.image.model.FisherImages
-
Train on a grouped dataset.
- train(List<? extends IndependentPair<?, FImage>>) - Method in class org.openimaj.image.model.FisherImages
-
- train(List<? extends T>) - Method in class org.openimaj.image.processing.face.feature.EigenFaceFeature.Extractor
-
- train(Dataset<? extends T>) - Method in class org.openimaj.image.processing.face.feature.EigenFaceFeature.Extractor
-
Train from a dataset
- train(List<? extends IndependentPair<?, T>>) - Method in class org.openimaj.image.processing.face.feature.FisherFaceFeature.Extractor
-
- train(Map<?, ? extends List<T>>) - Method in class org.openimaj.image.processing.face.feature.FisherFaceFeature.Extractor
-
Train on a map of data.
- train(GroupedDataset<KEY, ? extends ListDataset<T>, T>) - Method in class org.openimaj.image.processing.face.feature.FisherFaceFeature.Extractor
-
Train on a grouped dataset.
- train(Annotated<FACE, PERSON>) - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- train(Iterable<? extends Annotated<FACE, PERSON>>) - Method in class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser
-
- train(GroupedDataset<PERSON, ListDataset<FImage>, FImage>) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
Train with a dataset
- train(PERSON, FImage) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
Train the recogniser with a single example, returning the detected face.
- train(FACE, PERSON) - Method in class org.openimaj.image.processing.face.recognition.FaceRecognitionEngine
-
Train for the given face patch without doing any face detection.
- train(byte[][], int, int, int) - Static method in class org.openimaj.knn.pq.ByteProductQuantiserUtilities
-
Learn a
ByteProductQuantiser
by applying exact K-Means to
sub-vectors extracted from the given data.
- train(byte[][], int, int) - Static method in class org.openimaj.knn.pq.ByteProductQuantiserUtilities
-
Learn a
ByteProductQuantiser
by applying exact K-Means to
sub-vectors extracted from the given data.
- train(double[][], int, int, int) - Static method in class org.openimaj.knn.pq.DoubleProductQuantiserUtilities
-
- train(double[][], int, int) - Static method in class org.openimaj.knn.pq.DoubleProductQuantiserUtilities
-
- train(float[][], int, int, int) - Static method in class org.openimaj.knn.pq.FloatProductQuantiserUtilities
-
- train(float[][], int, int) - Static method in class org.openimaj.knn.pq.FloatProductQuantiserUtilities
-
- train(int[][], int, int, int) - Static method in class org.openimaj.knn.pq.IntProductQuantiserUtilities
-
Learn a
IntProductQuantiser
by applying exact K-Means to
sub-vectors extracted from the given data.
- train(int[][], int, int) - Static method in class org.openimaj.knn.pq.IntProductQuantiserUtilities
-
Learn a
IntProductQuantiser
by applying exact K-Means to
sub-vectors extracted from the given data.
- train(long[][], int, int, int) - Static method in class org.openimaj.knn.pq.LongProductQuantiserUtilities
-
Learn a
LongProductQuantiser
by applying exact K-Means to
sub-vectors extracted from the given data.
- train(long[][], int, int) - Static method in class org.openimaj.knn.pq.LongProductQuantiserUtilities
-
Learn a
LongProductQuantiser
by applying exact K-Means to
sub-vectors extracted from the given data.
- train(short[][], int, int, int) - Static method in class org.openimaj.knn.pq.ShortProductQuantiserUtilities
-
- train(short[][], int, int) - Static method in class org.openimaj.knn.pq.ShortProductQuantiserUtilities
-
- train(double[][]) - Method in class org.openimaj.math.matrix.algorithm.whitening.PCAWhitening
-
- train(double[][]) - Method in class org.openimaj.math.matrix.algorithm.whitening.WhiteningTransform
-
Train the whitening transform with the given features.
- train(double[][]) - Method in class org.openimaj.math.matrix.algorithm.whitening.ZCAWhitening
-
- train(double[][]) - Method in interface org.openimaj.math.statistics.normalisation.TrainableNormaliser
-
Train the normaliser.
- train(double[][]) - Method in class org.openimaj.math.statistics.normalisation.ZScore
-
- train(List<? extends Annotated<OBJECT, ANNOTATION>>) - Method in class org.openimaj.ml.annotation.basic.IndependentPriorRandomAnnotator
-
- train(Annotated<OBJECT, ANNOTATION>) - Method in class org.openimaj.ml.annotation.basic.KNNAnnotator
-
- train(List<? extends Annotated<OBJECT, ANNOTATION>>) - Method in class org.openimaj.ml.annotation.basic.UniformRandomAnnotator
-
- train(List<? extends Annotated<O, A>>) - Method in class org.openimaj.ml.annotation.basic.util.FixedChooser
-
- train(List<? extends Annotated<O, A>>) - Method in interface org.openimaj.ml.annotation.basic.util.NumAnnotationsChooser
-
Train the chooser with the given data.
- train(List<? extends Annotated<O, A>>) - Method in class org.openimaj.ml.annotation.basic.util.PriorChooser
-
- train(List<? extends Annotated<O, A>>) - Method in class org.openimaj.ml.annotation.basic.util.RandomChooser
-
- train(GroupedDataset<ANNOTATION, ? extends ListDataset<OBJECT>, OBJECT>) - Method in class org.openimaj.ml.annotation.BatchAnnotator
-
Train the annotator with the given grouped dataset.
- train(Annotated<OBJECT, ANNOTATION>) - Method in class org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator
-
- train(Annotated<OBJECT, ANNOTATION>) - Method in class org.openimaj.ml.annotation.FeatureCachingIncrementalBatchAnnotator
-
- train(Iterable<? extends Annotated<OBJECT, ANNOTATION>>) - Method in class org.openimaj.ml.annotation.IncrementalAnnotator
-
Train the annotator with the given data.
- train(GroupedDataset<ANNOTATION, ? extends ListDataset<OBJECT>, OBJECT>) - Method in class org.openimaj.ml.annotation.IncrementalAnnotator
-
Train the annotator with the given grouped dataset.
- train(Annotated<OBJECT, ANNOTATION>) - Method in class org.openimaj.ml.annotation.InstanceCachingIncrementalBatchAnnotator
-
- train(List<? extends Annotated<OBJECT, ANNOTATION>>) - Method in class org.openimaj.ml.annotation.linear.DenseLinearTransformAnnotator
-
- train(List<? extends Annotated<OBJECT, ANNOTATION>>) - Method in class org.openimaj.ml.annotation.linear.LiblinearAnnotator
-
- train(GroupedDataset<ANNOTATION, ? extends ListDataset<OBJECT>, OBJECT>) - Method in class org.openimaj.ml.annotation.linear.LiblinearAnnotator
-
- train(List<? extends Annotated<OBJECT, ANNOTATION>>) - Method in class org.openimaj.ml.annotation.linear.LinearSVMAnnotator
-
- train(List<? extends Annotated<OBJECT, ANNOTATION>>) - Method in class org.openimaj.ml.annotation.model.ModelAnnotator
-
- train(List<? extends Annotated<OBJECT, ANNOTATION>>) - Method in class org.openimaj.ml.annotation.svm.SVMAnnotator
-
Train the object with the given data.
- train(List<? extends T>) - Method in interface org.openimaj.ml.training.BatchTrainer
-
Train the object with the given data.
- train(Iterable<? extends T>) - Method in interface org.openimaj.ml.training.IncrementalTrainer
-
Train the object with the given data.
- train(T) - Method in interface org.openimaj.ml.training.IncrementalTrainer
-
Train/update object using a new instance.
- train(Locale, String, String) - Method in class org.openimaj.text.nlp.language.MarkovChainLanguageModel
-
Add an example to a language's markov chain
- train(Locale, InputStream) - Method in class org.openimaj.text.nlp.language.MarkovChainLanguageModel
-
Train a given language on a stream of text
- train(Iterable<? extends Annotated<List<String>, SENTIMENT>>) - Method in class org.openimaj.text.nlp.sentiment.model.classifier.NaiveBayesSentimentAnnotator
-
- train() - Method in class org.openimaj.tools.ocr.KNNCharacterClassifier
-
Train the classifier by generating a bunch of random training examples
of characters in various fonts (using the
FontSimulator
)
and using the features extracted from those images, train a nearest
neighbour classifier.
- train(DataSource<DATATYPE>) - Method in class org.openimaj.workinprogress.optimisation.SGD
-
- train(int, int, SparseFloatArray[], double[]) - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- train(int, int, List<SparseFloatArray>, TDoubleArrayList) - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- TrainableNormaliser - Interface in org.openimaj.math.statistics.normalisation
-
Interface for
Normaliser
s that need to be pre-trained in order to
compute relevant statistics to perform the actual normalisation operation.
- TrainClassifier - Class in org.openimaj.classifier.citylandscape
-
- TrainClassifier() - Constructor for class org.openimaj.classifier.citylandscape.TrainClassifier
-
- training - Variable in class org.openimaj.experiment.validation.DefaultValidationData
-
- Training - Class in org.openimaj.image.objectdetection.hog
-
- Training() - Constructor for class org.openimaj.image.objectdetection.hog.Training
-
- trainModel(PrincipalComponentAnalysis.ComponentSelector, List<IndependentPair<PointList, I>>, PointDistributionModel.Constraint, LandmarkModelFactory<I>) - Static method in class org.openimaj.image.model.asm.ActiveShapeModel
-
- trainModel(int, PrincipalComponentAnalysis.ComponentSelector, List<IndependentPair<PointList, I>>, PointDistributionModel.Constraint, LandmarkModelFactory<I>) - Static method in class org.openimaj.image.model.asm.MultiResolutionActiveShapeModel
-
- trainMultiClass(GroupedDataset<ANNOTATION, ? extends ListDataset<OBJECT>, OBJECT>) - Method in class org.openimaj.ml.annotation.IncrementalAnnotator
-
Train the annotator with the given grouped dataset.
- trainOne(SparseFloatArray, double, double) - Method in class org.openimaj.workinprogress.sgdsvm.SvmSgd
-
- TrainSplitProvider<OUT extends Dataset<?>> - Interface in org.openimaj.experiment.dataset.split
-
An object that can provide a training dataset.
- transf - Variable in class org.openimaj.image.feature.local.interest.EllipticKeyPoint
-
- transform(String, CtClass) - Method in interface org.openimaj.aop.ClassTransformer
-
Transform the given class
- transform(ClassLoader, String, Class<?>, ProtectionDomain, byte[]) - Method in class org.openimaj.aop.MultiTransformClassFileTransformer
-
- transform(String, byte[]) - Method in class org.openimaj.aop.MultiTransformClassFileTransformer
-
Transform the given class.
- transform(String, CtClass) - Method in class org.openimaj.citation.ReferencesClassTransformer
-
- transform(String, CtClass) - Method in class org.openimaj.experiment.agent.TimeClassTransformer
-
- transform - Variable in class org.openimaj.image.feature.local.interest.EllipticInterestPointData
-
- transform(Matrix) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- transform(Matrix) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- transform(Matrix) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- transform(Matrix) - Method in class org.openimaj.image.FImage
-
Apply a transform matrix to the image and returns the result as a new
image.
- transform(Matrix) - Method in class org.openimaj.image.Image
-
Apply a transform matrix to the image and returns the result as a new
image.
- transform - Variable in class org.openimaj.image.objectdetection.TransformedDetection
-
The transform to be applied to the detected object to map it to the image
in which the detection was made.
- transform(Matrix) - Method in class org.openimaj.image.pixel.Pixel
-
- transform(Matrix) - Method in class org.openimaj.image.pixel.PixelSet
-
Affine transform the shape with the given transform matrix.
- transform(I, int, int) - Method in class org.openimaj.image.processing.transform.PiecewiseMeshWarp
-
Transform the content of the input image into an output image of the
given dimensions.
- transform(Matrix) - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
- transform(Matrix) - Method in class org.openimaj.math.geometry.line.Line2d
-
Transform a line.
- transform(Matrix) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- transform(Matrix) - Method in interface org.openimaj.math.geometry.point.Point2d
-
Transform the point by the given matrix
- transform(Matrix) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- transform(Matrix) - Method in interface org.openimaj.math.geometry.point.Point3d
-
Transform the point by the given matrix
- transform(Matrix) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- transform(Matrix) - Method in class org.openimaj.math.geometry.point.PointList
-
Apply a 3x3 transform matrix to a copy of the
PointList
and
return it
- transform(Matrix) - Method in class org.openimaj.math.geometry.shape.Circle
-
- transform(Matrix) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- transform(Matrix) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Apply a 3x3 transform matrix to a copy of the polygon and return it
- transform(Matrix) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- transform(Matrix) - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- transform(Matrix) - Method in interface org.openimaj.math.geometry.shape.Shape
-
- transform(Matrix) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- transform - Variable in class org.openimaj.math.geometry.transforms.AffineTransformModel
-
- transform - Variable in class org.openimaj.math.geometry.transforms.AffineTransformModel3d
-
- transform - Variable in class org.openimaj.math.matrix.algorithm.whitening.PCAWhitening
-
- transform - Variable in class org.openimaj.ml.annotation.linear.DenseLinearTransformAnnotator
-
- transform(Function<Stream<T>, Stream<R>>) - Method in class org.openimaj.util.stream.AbstractStream
-
- transform(Function<Stream<T>, Stream<R>>) - Method in interface org.openimaj.util.stream.Stream
-
Transform the stream using the given function to transform the items in
this stream.
- transform(Matrix) - Method in class org.openimaj.video.tracking.klt.Feature
-
- transform(double) - Method in interface org.openimaj.vis.general.LabelTransformer
-
Transform the given value into a different label.
- transformAffine(Matrix) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- transformAffineCovar(Matrix) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- TransformedDetection<DETECTED_OBJECT> - Class in org.openimaj.image.objectdetection
-
An object detection with an associated transform that maps the detection
shape to the image.
- TransformedDetection(DETECTED_OBJECT, Matrix) - Constructor for class org.openimaj.image.objectdetection.TransformedDetection
-
- TransformedSITR2d<M extends Model<Point2d,Point2d>> - Class in org.openimaj.math.geometry.transforms.residuals
-
- TransformedSITR2d(Matrix, Matrix) - Constructor for class org.openimaj.math.geometry.transforms.residuals.TransformedSITR2d
-
Construct with the given transforms
- TRANSFORMERS - Static variable in class org.openimaj.aop.classloader.ClassLoaderTransform
-
- TRANSFORMERS_SEPARATOR - Static variable in class org.openimaj.aop.classloader.ClassLoaderTransform
-
- transformImage(I, int) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
Compute the transformed images based on the given number of tilts.
- transformImage(I, float, float) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
Compute a single transformed image for a given rotation and tilt.
- transformImage(I, AffineParams) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
Compute a single transformed image for a given rotation and tilt.
- transformInplace(Matrix) - Method in class org.openimaj.image.pixel.Pixel
-
Inplace transform the point by the given matrix.
- transformMatrix() - Method in class org.openimaj.math.geometry.shape.Ellipse
-
Get the transform matrix required to turn points on a unit circle into
the points on this ellipse.
- TransformMatrixConditionCheck<M extends Model<?,?> & MatrixTransformProvider> - Class in org.openimaj.math.geometry.transforms.check
-
A check for
Model
s that produce transform matrices (via the
MatrixTransformProvider
) that tests whether the condition number is
below a threshold.
- TransformMatrixConditionCheck(double) - Constructor for class org.openimaj.math.geometry.transforms.check.TransformMatrixConditionCheck
-
Construct the check with the given threshold.
- Transforms - Class in org.openimaj.image.colour
-
A collection of static methods for colour transformations
- Transforms() - Constructor for class org.openimaj.image.colour.Transforms
-
- transforms - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- transformsInverted - Variable in class org.openimaj.image.processing.transform.ProjectionProcessor
-
- transformToOriginal(Point2d, int, int, float, float) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
Compute the position of a point in an image given the position in the
transformed image and the transform parameters.
- transformToOriginal(Point2d, Image<?, ?>, float, float) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
Compute the position of a point in an image given the position in the
transformed image and the transform parameters.
- transformToOriginal(Point2d, int, int, AffineParams) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
Compute the position of a point in an image given the position in the
transformed image and the transform parameters.
- transformToOriginal(Point2d, Image<?, ?>, AffineParams) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
Compute the position of a point in an image given the position in the
transformed image and the transform parameters.
- transformToOriginal(Q, I, float, float) - Static method in class org.openimaj.image.processing.transform.AffineSimulation
-
Transform the coordinates of the given points from a transformed image to
the original space.
- TransformUtilities - Class in org.openimaj.math.geometry.transforms
-
A collection of static methods for creating transform matrices.
- translate(float, float) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- translate(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
- translate(float, float) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- translate(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
-
- translate(float, float) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- translate(Point2d) - Method in class org.openimaj.image.feature.local.keypoints.quantised.QuantisedKeypoint
-
- translate(float, float) - Method in class org.openimaj.image.pixel.Pixel
-
- translate(Point2d) - Method in class org.openimaj.image.pixel.Pixel
-
- translate(int, int) - Method in class org.openimaj.image.pixel.PixelSet
-
Translates the region's pixels by x and y.
- translate(float, float) - Method in interface org.openimaj.math.geometry.GeometricObject2d
-
Translate the shapes position
- translate(float, float) - Method in class org.openimaj.math.geometry.line.Line2d
-
- translate(float, float) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- translate(Point2d) - Method in class org.openimaj.math.geometry.point.AbstractPoint2d
-
- translate(float, float) - Method in interface org.openimaj.math.geometry.point.Point2d
-
Translate the position of the point by the given amounts
- translate(Point2d) - Method in interface org.openimaj.math.geometry.point.Point2d
-
Translate the position of the point by the given amounts
- translate(float, float) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- translate(Point2d) - Method in class org.openimaj.math.geometry.point.Point2dImpl
-
- translate(double, double, double) - Method in interface org.openimaj.math.geometry.point.Point3d
-
Translate the position of the point by the given amounts
- translate(Point3d) - Method in interface org.openimaj.math.geometry.point.Point3d
-
Translate the position of the point by the given amounts
- translate(double, double, double) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- translate(Point3d) - Method in class org.openimaj.math.geometry.point.Point3dImpl
-
- translate(float, float) - Method in class org.openimaj.math.geometry.point.PointList
-
- translate(float, float) - Method in class org.openimaj.math.geometry.shape.Circle
-
- translate(float, float) - Method in class org.openimaj.math.geometry.shape.Ellipse
-
- translate(float, float) - Method in class org.openimaj.math.geometry.shape.Polygon
-
Translate the polygons position
- translate(float, float) - Method in class org.openimaj.math.geometry.shape.Rectangle
-
- translate(float, float) - Method in class org.openimaj.math.geometry.shape.RotatedRectangle
-
- translate(float, float) - Method in class org.openimaj.math.geometry.shape.Triangle
-
- translate(float, float) - Method in class org.openimaj.video.tracking.klt.Feature
-
- translate(Point2d) - Method in class org.openimaj.video.tracking.klt.Feature
-
- translateFrame(FImage) - Method in class org.openimaj.video.translator.FImageToMBFImageVideoTranslator
-
- translateFrame(MBFImage) - Method in class org.openimaj.video.translator.MBFImageToFImageVideoTranslator
-
- translateFrame(INPUT) - Method in class org.openimaj.video.translator.VideoTranslator
-
Translate the given input frame to the appropriate output frame.
- translateMatrix(double, double) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Construct a translation.
- translateToPointMatrix(Point2d, Point2d) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities
-
Given two points, get a transform matrix that takes points from point a
to point b
- translation - Variable in class org.openimaj.image.camera.Camera
-
The position of this camera in world coordinates
- transpose(T) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Transpose a matrix, returning a new matrix.
- transposeDotProduct(Matrix, Matrix) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Compute A^T .
- transposeMultiply(Vector) - Method in class ch.akuhn.matrix.Matrix
-
Returns y = (A^T)x
.
- transposeMultiply(Vector) - Method in class ch.akuhn.matrix.SparseMatrix
-
- transposeMultiply(Vector) - Method in class org.openimaj.math.matrix.DiagonalMatrix
-
- transposeNonTransposeMultiply(Vector) - Method in class ch.akuhn.matrix.Matrix
-
Returns y = (A^T)Ax
.
- transposeNonTransposeMultiply(Vector) - Method in class org.openimaj.math.matrix.DiagonalMatrix
-
- TRECEvalAnalyser<QUERY,DOCUMENT extends Identifiable> - Class in org.openimaj.experiment.evaluation.retrieval.analysers
-
A
RetrievalAnalyser
that uses the trec_eval commandline tool to
perform the analysis.
- TRECEvalAnalyser() - Constructor for class org.openimaj.experiment.evaluation.retrieval.analysers.TRECEvalAnalyser
-
Default constructor
- TRECResult - Class in org.openimaj.experiment.evaluation.retrieval.analysers
-
- TRECResult(String) - Constructor for class org.openimaj.experiment.evaluation.retrieval.analysers.TRECResult
-
Construct with the given output from trec_eval
- TreeNode<T> - Interface in org.openimaj.util.tree
-
- TreeNodeImpl<T> - Class in org.openimaj.util.tree
-
- TreeNodeImpl() - Constructor for class org.openimaj.util.tree.TreeNodeImpl
-
Construct an empty node.
- TreeNodeImpl(T) - Constructor for class org.openimaj.util.tree.TreeNodeImpl
-
Construct a node holding the given value.
- trees - Variable in class org.openimaj.knn.approximate.ByteKDTreeEnsemble
-
The tree roots
- trees - Variable in class org.openimaj.knn.approximate.DoubleKDTreeEnsemble
-
The tree roots
- trees - Variable in class org.openimaj.knn.approximate.FloatKDTreeEnsemble
-
The tree roots
- trees - Variable in class org.openimaj.knn.approximate.IntKDTreeEnsemble
-
The tree roots
- trees - Variable in class org.openimaj.knn.approximate.LongKDTreeEnsemble
-
The tree roots
- trees - Variable in class org.openimaj.knn.approximate.ShortKDTreeEnsemble
-
The tree roots
- TrendDetectionOutputListener - Class in org.openimaj.picslurper.output
-
Find trends using graphs for duplicate detection and graph cardinality for trend detection
- TrendDetectionOutputListener() - Constructor for class org.openimaj.picslurper.output.TrendDetectionOutputListener
-
Construct the publishing connector
- TrendDetector - Class in org.openimaj.picslurper.client
-
A trend detector indexes new images and is able to tell you the n highest
trending sets of near duplicate images
- TrendDetector() - Constructor for class org.openimaj.picslurper.client.TrendDetector
-
instantiate the LSH
- TrendDetectorFeatureExtractor - Interface in org.openimaj.picslurper.client
-
- TrendDetectorFeatureMode - Enum in org.openimaj.picslurper.output
-
- trending(int) - Method in class org.openimaj.picslurper.client.TrendDetector
-
- Triangle - Class in org.openimaj.math.geometry.shape
-
A triangle shape
- Triangle(Point2d, Point2d, Point2d) - Constructor for class org.openimaj.math.geometry.shape.Triangle
-
Construct a Triangle with the given vertices.
- Triangle(Point2d[]) - Constructor for class org.openimaj.math.geometry.shape.Triangle
-
Construct a Triangle with the given vertices.
- TRIANGLE_BORDER - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- TRIANGLE_BORDER_COLOUR - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- TRIANGLE_BORDER_THICKNESS - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- TRIANGLE_BORDER_TICK_THICKNESS - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- TRIANGLE_BORDER_TICKS - Static variable in class org.openimaj.vis.ternary.TernaryParams
-
- TriangleFilter - Class in org.openimaj.image.processing.resize.filters
-
A triangle filter for the resample function
- TriangleFilter() - Constructor for class org.openimaj.image.processing.resize.filters.TriangleFilter
-
- triangles - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration
-
The face mesh
- triangles - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker
-
The face mesh
- triangles - Variable in class org.openimaj.math.geometry.shape.TriangulatedPolygon
-
- TriangularFilter - Class in org.openimaj.audio.filters
-
A default non-isoceles triangular filter definition, where the low, mid
and top frequencies are defined.
- TriangularFilter(double, double, double) - Constructor for class org.openimaj.audio.filters.TriangularFilter
-
- triangulate(List<? extends Point2d>) - Static method in class org.openimaj.math.geometry.triangulation.DelaunayTriangulator
-
Trianglate a set of vertices.
- TriangulatedPolygon - Class in org.openimaj.math.geometry.shape
-
A polygon that has been broken into triangles.
- TriangulatedPolygon(Polygon) - Constructor for class org.openimaj.math.geometry.shape.TriangulatedPolygon
-
- TriangulatedPolygon(Shape) - Constructor for class org.openimaj.math.geometry.shape.TriangulatedPolygon
-
- triangulateFirst(List<? extends Pair<? extends Point2d>>) - Static method in class org.openimaj.demos.DTConsistency
-
- triangulateSecond(List<? extends Pair<? extends Point2d>>) - Static method in class org.openimaj.demos.DTConsistency
-
- trim() - Method in class ch.akuhn.matrix.SparseMatrix
-
Trim each row
- trim() - Method in class ch.akuhn.matrix.SparseVector
-
Trim the underlying dense arrays to compact space and save memory
- trim() - Method in class org.openimaj.image.Image
-
Removes zero-valued pixels from around the outside of the image.
- trimRe - Static variable in class org.openimaj.web.readability.Readability.Regexps
-
- TripleList - Annotation Type in org.openimaj.rdf.serialize
-
An annotation that marks a member of a class that is a Collection
object to be treated specially during serialization.
- tripleObjectsQuery(String, String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- TripleSerialiser() - Constructor for class org.openimaj.rdf.storm.utils.JenaStormUtils.TripleSerialiser
-
- tripleSubjectsQuery(String, String) - Static method in class org.openimaj.text.nlp.namedentity.YagoQueryUtils
-
- TrueLanguageExperiment - Class in org.openimaj.twitter.experiments.langid
-
Perform an experiment, a set of tweets with a known language compared to the
LanguageDetector
's response
- TrueLanguageExperiment() - Constructor for class org.openimaj.twitter.experiments.langid.TrueLanguageExperiment
-
- TrueLanguageTwitterStatus - Class in org.openimaj.twitter.experiments.langid
-
A twitter status with a true language as ascribed by some users
- TrueLanguageTwitterStatus(Class<? extends GeneralJSON>) - Constructor for class org.openimaj.twitter.experiments.langid.TrueLanguageTwitterStatus
-
- truncate(double[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates the given array to the given size.
- truncate(double[][], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates every element in the given array to the given size.
- truncate(float[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates the given array to the given size.
- truncate(float[][], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates every element in the given array to the given size.
- truncate(int[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates the given array to the given size.
- truncate(int[][], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates every element in the given array to the given size.
- truncate(long[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates the given array to the given size.
- truncate(long[][], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates every element in the given array to the given size.
- truncate(byte[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates the given array to the given size.
- truncate(byte[][], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates every element in the given array to the given size.
- truncate(short[], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates the given array to the given size.
- truncate(short[][], int) - Static method in class org.openimaj.util.array.ArrayUtils
-
Truncates every element in the given array to the given size.
- truncated - Variable in class org.openimaj.twitter.GeneralJSONTwitter
-
- TruncatedURLPatternProvider - Class in org.openimaj.text.nlp.patterns
-
Some tweets end with ...
- TruncatedURLPatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.TruncatedURLPatternProvider
-
- TruncatedWeighting - Class in org.openimaj.image.processing.face.feature.ltp
-
A truncated weighting scheme which cuts-off distances
beyond a threshold.
- TruncatedWeighting() - Constructor for class org.openimaj.image.processing.face.feature.ltp.TruncatedWeighting
-
Construct with the default distance threshold of 6
- TruncatedWeighting(float) - Constructor for class org.openimaj.image.processing.face.feature.ltp.TruncatedWeighting
-
Construct with the given distance threshold.
- tryEachKestrelUntilBufferFilled() - Method in class backtype.storm.spout.KestrelThriftSpout
-
- Ttf - Variable in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
Total number of tweets in all timeperiods
- TumblrAPIToken - Class in org.openimaj.util.auth.web
-
API token for tumblr for methods using the api_key parameter
- TumblrAPIToken() - Constructor for class org.openimaj.util.auth.web.TumblrAPIToken
-
- tuningOfA - Static variable in class org.openimaj.audio.util.WesternScaleNote
-
The standing tuning is A=440Hz.
- Turntable - Class in org.openimaj.hardware.turntable
-
A simple controller for our serially connected electronic turntable.
- Turntable(String) - Constructor for class org.openimaj.hardware.turntable.Turntable
-
Default constructor.
- turntableDevice - Variable in class org.openimaj.hardware.turntable.Turntable
-
- tweetcount - Variable in class org.openimaj.hadoop.tools.twitter.utils.TimeperiodTweetCountWordCount
-
The total number of tweets in this time period
- TweetCountWordMap - Class in org.openimaj.hadoop.tools.twitter.utils
-
Class encapsulating a number of tweets across which certain words were seen
- TweetCountWordMap() - Constructor for class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
empty words and 0 tweets
- TweetCountWordMap(int, TObjectIntHashMap<String>) - Constructor for class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap
-
- TweetPreprocessingBolt - Class in org.openimaj.storm.tools.twitter.bolts
-
- TweetPreprocessingBolt(String, List<String>, String[]) - Constructor for class org.openimaj.storm.tools.twitter.bolts.TweetPreprocessingBolt
-
- TweetTokeniser - Class in org.openimaj.text.nlp
-
A tokeniser built to work with short text, like that found in twitter.
- TweetTokeniser(String) - Constructor for class org.openimaj.text.nlp.TweetTokeniser
-
- TweetTokeniserException - Exception in org.openimaj.text.nlp
-
An error of with the tweet tokeniser
- TweetTokeniserException() - Constructor for exception org.openimaj.text.nlp.TweetTokeniserException
-
- twelfthRootOfTwo - Static variable in class org.openimaj.audio.util.WesternScaleNote
-
The twelfth root of 2
- Twf - Variable in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
-
Number of tweets containing this word in all timeperiods
- TwipleConsumer - Class in org.openimaj.web.scraping.images
-
A Twiple screen scraper
- TwipleConsumer() - Constructor for class org.openimaj.web.scraping.images.TwipleConsumer
-
- TwitPicConsumer - Class in org.openimaj.web.scraping.images
-
Use JSoup to load the twitpic page and find the img tag that has a source
which contains the string "photos" or "cloudfront"
- TwitPicConsumer() - Constructor for class org.openimaj.web.scraping.images.TwitPicConsumer
-
- twitter - Variable in class org.openimaj.stream.provider.twitter.AbstractTwitterSearchDataset
-
- Twitter4JStreamFeeder - Class in org.openimaj.picslurper
-
Uses the TwitterStreamFactory
of twitter4j and oAuth using
- Twitter4JStreamFeeder() - Constructor for class org.openimaj.picslurper.Twitter4JStreamFeeder
-
- Twitter4jUtil - Class in org.openimaj.twitter.utils
-
Create a Twitter4j instance
- Twitter4jUtil() - Constructor for class org.openimaj.twitter.utils.Twitter4jUtil
-
- TwitterAPIToken - Class in org.openimaj.util.api.auth.common
-
An authentication token for the Twitter API.
- TwitterAPIToken() - Constructor for class org.openimaj.util.api.auth.common.TwitterAPIToken
-
Construct an empty token.
- TwitterAPIToken(String, String, String, String) - Constructor for class org.openimaj.util.api.auth.common.TwitterAPIToken
-
Construct a token with the given parameters.
- TwitterInputStreamFactory - Class in org.openimaj.picslurper
-
Factory provides input streams to twitter, managing the disconnection of old
streams
- TwitterOutputMode - Class in org.openimaj.tools.twitter.modes.output
-
how the processing should be outputed
- TwitterOutputMode() - Constructor for class org.openimaj.tools.twitter.modes.output.TwitterOutputMode
-
- TwitterOutputModeOption - Enum in org.openimaj.tools.twitter.modes.output
-
Control how twitter analysis should be outputted
- TwitterPhotoConsumer - Class in org.openimaj.web.scraping.images
-
Download images from twitter's own image hosting service
- TwitterPhotoConsumer() - Constructor for class org.openimaj.web.scraping.images.TwitterPhotoConsumer
-
- TwitterPreprocessingFilter - Class in org.openimaj.tools.twitter.modes.filter
-
A filter takes in a status and filters the status (says whether it should remain or be deleted)
based on some internal process
- TwitterPreprocessingFilter() - Constructor for class org.openimaj.tools.twitter.modes.filter.TwitterPreprocessingFilter
-
- TwitterPreprocessingFilterOption - Enum in org.openimaj.tools.twitter.modes.filter
-
The mode of the twitter processing tool
- TwitterPreprocessingMapper - Class in org.openimaj.hadoop.tools.twitter
-
- TwitterPreprocessingMapper() - Constructor for class org.openimaj.hadoop.tools.twitter.TwitterPreprocessingMapper
-
- TwitterPreprocessingMode<T> - Class in org.openimaj.tools.twitter.modes.preprocessing
-
A processing mode that is able to process a tweet and also typed on the data
which it analyses from the tweet (so it can return this data if required)
- TwitterPreprocessingMode() - Constructor for class org.openimaj.tools.twitter.modes.preprocessing.TwitterPreprocessingMode
-
- TwitterPreprocessingModeOption - Enum in org.openimaj.tools.twitter.modes.preprocessing
-
The mode of the twitter processing tool
- TwitterPreprocessingPredicate - Class in org.openimaj.tools.twitter.modes.filter
-
A filter takes in a status and filters the status (says whether it should remain or be deleted)
based on some internal process
- TwitterPreprocessingPredicate() - Constructor for class org.openimaj.tools.twitter.modes.filter.TwitterPreprocessingPredicate
-
- TwitterPreprocessingTool - Class in org.openimaj.tools.twitter
-
A tool for applying preprocessing to a set of tweets and outputting the results in json
- TwitterPreprocessingTool() - Constructor for class org.openimaj.tools.twitter.TwitterPreprocessingTool
-
- TwitterPreprocessingToolOptions - Class in org.openimaj.tools.twitter.options
-
The single processing command line version of the twitter tool
- TwitterPreprocessingToolOptions(String[]) - Constructor for class org.openimaj.tools.twitter.options.TwitterPreprocessingToolOptions
-
- TwitterSearchDataset - Class in org.openimaj.stream.provider.twitter
-
- TwitterSearchDataset(Query, TwitterAPIToken) - Constructor for class org.openimaj.stream.provider.twitter.TwitterSearchDataset
-
Construct the dataset from the given API token and query.
- TwitterSearchDataset(Query, TwitterAPIToken, BlockingDroppingQueue<Status>) - Constructor for class org.openimaj.stream.provider.twitter.TwitterSearchDataset
-
Construct the dataset from the given API token, query and buffer.
- TwitterStatusList<T extends USMFStatus> - Interface in org.openimaj.twitter.collection
-
- TwitterStatusListUtils - Class in org.openimaj.twitter.collection
-
- TwitterStatusListUtils() - Constructor for class org.openimaj.twitter.collection.TwitterStatusListUtils
-
- TwitterStreamDataset - Class in org.openimaj.stream.provider.twitter
-
- TwitterStreamDataset(TwitterAPIToken) - Constructor for class org.openimaj.stream.provider.twitter.TwitterStreamDataset
-
Construct the dataset from the given API token.
- TwitterStreamDataset(TwitterAPIToken, BlockingDroppingQueue<Status>) - Constructor for class org.openimaj.stream.provider.twitter.TwitterStreamDataset
-
Construct the dataset from the given API token and buffer.
- TwitterStreamFilterDataset - Class in org.openimaj.stream.provider.twitter
-
- TwitterStreamFilterDataset(FilterQuery, TwitterAPIToken) - Constructor for class org.openimaj.stream.provider.twitter.TwitterStreamFilterDataset
-
Construct the dataset from the given API token.
- TwitterStreamFilterDataset(String[], TwitterAPIToken) - Constructor for class org.openimaj.stream.provider.twitter.TwitterStreamFilterDataset
-
Construct the dataset from the given API token.
- TwitterStreamFilterDataset(FilterQuery, TwitterAPIToken, BlockingDroppingQueue<Status>) - Constructor for class org.openimaj.stream.provider.twitter.TwitterStreamFilterDataset
-
Construct the dataset from the given API token and buffer.
- TwitterStuffPatternProvider - Class in org.openimaj.text.nlp.patterns
-
Borrowed heavily from https://github.com/twitter/twitter-text-java
- TwitterStuffPatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.TwitterStuffPatternProvider
-
- TwitterTokenMode - Interface in org.openimaj.hadoop.tools.twitter.token.mode
-
A method of extracting tokens from twitter and outputting them in some way
- TwitterTokenModeOption - Enum in org.openimaj.hadoop.tools.twitter.token.mode
-
A twitter tweet token counting mode
- TwitterTokenOutputMode - Class in org.openimaj.hadoop.tools.twitter.token.outputmode
-
- TwitterTokenOutputMode() - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.TwitterTokenOutputMode
-
- TwitterTokenOutputModeOption - Enum in org.openimaj.hadoop.tools.twitter.token.outputmode
-
A twitter tweet token counting mode
- TwitterURLExtractor - Class in org.openimaj.stream.functions.twitter
-
This class implements a function that processes Twitter Status
objects to extract all the mentioned URLs.
- TwitterURLExtractor() - Constructor for class org.openimaj.stream.functions.twitter.TwitterURLExtractor
-
- type - Variable in class org.kohsuke.args4j.spi.AbstractGetter
-
- type() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The type of publication
- type() - Method in enum org.openimaj.image.colour.ColourMap
-
- type - Variable in class org.openimaj.image.contour.Contour
-
The type of contour
- type - Variable in class org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint
-
The type of facial keypoint
- type - Variable in class org.openimaj.math.geometry.line.Line2d.IntersectionResult
-
The type of intersection
- type - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
PolygonUtils / subject edge flag
- type - Variable in class org.openimaj.rdf.owl2java.PropertyDef
-
The type of this property
- type - Variable in class org.openimaj.text.nlp.namedentity.NamedEntity
-
Type of Named Entity
- type - Variable in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Clue
-
The clue subjectivity
- type() - Method in enum org.openimaj.tools.twitter.options.StatusType
-
- type - Variable in class org.openimaj.vis.timeline.Timeline.TimelineMarker
-
The marker type
- type - Variable in class org.openimaj.web.scraping.images.ImgurClient.ImgurTypeHash
-
- typeMap - Static variable in class org.openimaj.rdf.owl2java.PropertyDef
-
A map of XML Schema types to Java types
- v() - Method in enum org.openimaj.ml.linear.learner.perceptron.PerceptronClass
-
- val - Variable in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD.Maxima
-
- val - Variable in class org.openimaj.video.tracking.klt.Feature
-
value of feature
- validate() - Method in class net.lag.kestrel.thrift.Item
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
-
- validate() - Method in class net.lag.kestrel.thrift.Kestrel.put_result
-
- validate() - Method in class net.lag.kestrel.thrift.QueueInfo
-
- validate() - Method in class org.openimaj.hadoop.tools.clusterquantiser.HadoopClusterQuantiserOptions
-
- validate() - Method in class org.openimaj.hadoop.tools.globalfeature.HadoopGlobalFeaturesOptions
-
- validate() - Method in class org.openimaj.hadoop.tools.twitter.HadoopTwitterPreprocessingToolOptions
-
- validate(CmdLineParser) - Method in class org.openimaj.storm.tool.StormToolOptions
-
- validate() - Method in class org.openimaj.tools.clusterquantiser.AbstractClusterQuantiserOptions
-
Validate the options
- validate() - Method in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
-
- validate() - Method in class org.openimaj.tools.ReferencesToolOpts
-
Validate the options, throwing a CmdLineException
if the
arguments are not valid.
- validate() - Method in class org.openimaj.tools.twitter.modes.filter.DateFilter
-
- validate() - Method in class org.openimaj.tools.twitter.modes.filter.GeoFilter
-
- validate() - Method in class org.openimaj.tools.twitter.modes.filter.GrepFilter
-
- validate() - Method in class org.openimaj.tools.twitter.modes.filter.LanguageFilter
-
- validate() - Method in class org.openimaj.tools.twitter.modes.filter.TwitterPreprocessingFilter
-
Prepare the filter
- validate() - Method in class org.openimaj.tools.twitter.modes.filter.TwitterPreprocessingPredicate
-
Prepare the filter
- validate(AbstractTwitterPreprocessingToolOptions) - Method in class org.openimaj.tools.twitter.modes.output.SelectiveAnalysisOutputMode
-
- validate(AbstractTwitterPreprocessingToolOptions) - Method in class org.openimaj.tools.twitter.modes.output.SelectiveAnalysisTwitterOutputMode
-
- validate(AbstractTwitterPreprocessingToolOptions) - Method in class org.openimaj.tools.twitter.modes.output.TwitterOutputMode
-
- validate() - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- validate() - Method in class org.openimaj.tools.twitter.options.TwitterPreprocessingToolOptions
-
- validate() - Method in class org.openimaj.tools.web.ReaderOptions
-
- validateData() - Method in class org.openimaj.vis.general.XYPlotVisualisation
-
Set up the min/max of the axes based on the data.
- validateInput(InOutToolOptions) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
- validateLocalInput(InOutToolOptions) - Static method in class org.openimaj.tools.FileToolsUtil
-
Validate the (local) input from an
InOutToolOptions
and return
the corresponding file.
- validateLocalOutput(String, boolean, boolean) - Static method in class org.openimaj.picslurper.PicSlurper
-
Validate the (local) ouput from an String and return the corresponding
file.
- validateLocalOutput(String, boolean, boolean) - Static method in class org.openimaj.picslurper.StormPicSlurper
-
Validate the (local) ouput from an String and return the corresponding
file.
- validateLocalOutput(InOutToolOptions) - Static method in class org.openimaj.tools.FileToolsUtil
-
Validate the (local) ouput from an
InOutToolOptions
and return
the corresponding file.
- validateLocalOutput(String, boolean) - Static method in class org.openimaj.tools.FileToolsUtil
-
Validate the (local) ouput from an String and return the corresponding
file.
- validateLocalOutput(String, boolean, boolean) - Static method in class org.openimaj.tools.FileToolsUtil
-
Validate the (local) ouput from an String and return the corresponding
file.
- validateOutput(InOutToolOptions) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
- validateOutput(String, boolean) - Static method in class org.openimaj.hadoop.tools.HadoopToolsUtil
-
- ValidateSplitProvider<OUT extends Dataset<?>> - Interface in org.openimaj.experiment.dataset.split
-
An object that can provide a validation dataset.
- validation - Variable in class org.openimaj.experiment.validation.DefaultValidationData
-
- ValidationData<DATASET extends Dataset<?>> - Interface in org.openimaj.experiment.validation
-
Data for performing validation.
- ValidationOperation<DATASET extends Dataset<?>,ANALYSIS_RESULT> - Interface in org.openimaj.experiment.validation
-
Interface describing the contract for classes which can
perform a the operations required for a single round
of validation.
- ValidationRunner - Class in org.openimaj.experiment.validation
-
Utility methods for performing validation and cross validation.
- validPoints(List<Ellipse>, Image<?, ?>, Matrix) - Static method in class org.openimaj.image.feature.local.interest.experiment.IPDRepeatability
-
Use the transform to call find the location sourceImage.getBounds() in
another image.
- validRegion(List<PAIRTYPE>) - Method in interface org.openimaj.ml.clustering.dbscan.neighbourhood.RegionMode
-
- validTotal - Variable in class org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob.ProcessorJobEvent
-
- valsToIndex(double[]) - Static method in class org.openimaj.math.matrix.MatrixUtils
-
- value - Variable in class ch.akuhn.matrix.eigenvalues.Eigenvalues
-
The eigenvalues
- value - Variable in class ch.akuhn.matrix.eigenvalues.SingularValues
-
Singular values
- value - Variable in class ch.akuhn.matrix.Vector.Entry
-
The value
- value - Variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordDFIDFValue
-
- value - Variable in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_depth_format
-
- value() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_depth_format
-
- value - Variable in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_device_flags
-
- value() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_device_flags
-
- value - Variable in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_led_options
-
- value() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_led_options
-
- value - Variable in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_loglevel
-
- value() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_loglevel
-
- value - Variable in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_resolution
-
- value() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_resolution
-
- value - Variable in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_tilt_status_code
-
- value() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_tilt_status_code
-
- value - Variable in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_video_format
-
- value() - Method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_video_format
-
- value - Variable in class org.openimaj.image.pixel.FValuePixel
-
The value of the pixel
- value - Variable in class org.openimaj.image.pixel.GenericValuePixel
-
The value of the pixel
- value - Variable in class org.openimaj.image.pixel.IntValuePixel
-
The value of the pixel
- value - Variable in class org.openimaj.io.wrappers.Readable2DArrayBinary
-
The underlying Matrix
- value - Variable in class org.openimaj.io.wrappers.ReadableArrayBinary
-
The underlying list
- value - Variable in class org.openimaj.io.wrappers.ReadableListBinary
-
The underlying list
- value - Variable in class org.openimaj.io.wrappers.ReadableMapBinary
-
The backing map
- value - Variable in class org.openimaj.io.wrappers.ReadWriteableByte
-
The underlying value
- value - Variable in class org.openimaj.io.wrappers.ReadWriteableDouble
-
The underlying value
- value - Variable in class org.openimaj.io.wrappers.ReadWriteableFloat
-
The underlying value
- value - Variable in class org.openimaj.io.wrappers.ReadWriteableInt
-
The underlying value
- value - Variable in class org.openimaj.io.wrappers.ReadWriteableListBinary
-
The underlying list
- value - Variable in class org.openimaj.io.wrappers.ReadWriteableLong
-
The underlying value
- value - Variable in class org.openimaj.io.wrappers.ReadWriteableShort
-
The underlying value
- value - Variable in class org.openimaj.io.wrappers.ReadWriteableString
-
The underlying value
- value - Variable in class org.openimaj.io.wrappers.Writeable2DArrayBinary
-
The underlying array
- value - Variable in class org.openimaj.io.wrappers.WriteableArrayBinary
-
The underlying array
- value - Variable in class org.openimaj.io.wrappers.WriteableListBinary
-
The underlying list.
- value - Variable in class org.openimaj.io.wrappers.WriteableMapBinary
-
The underlying map.
- value(RealVector) - Method in class org.openimaj.math.geometry.transforms.FundamentalRefinement.Base
-
- value - Variable in class org.openimaj.util.array.SparseByteArray.Entry
-
The value of the array at the index
- value - Variable in class org.openimaj.util.array.SparseDoubleArray.Entry
-
The value of the array at the index
- value - Variable in class org.openimaj.util.array.SparseFloatArray.Entry
-
The value of the array at the index
- value - Variable in class org.openimaj.util.array.SparseIntArray.Entry
-
The value of the array at the index
- value - Variable in class org.openimaj.util.array.SparseLongArray.Entry
-
The value of the array at the index
- value - Variable in class org.openimaj.util.array.SparseShortArray.Entry
-
The value of the array at the index
- value - Variable in class org.openimaj.util.tree.TreeNodeImpl
-
The value of the node.
- value - Variable in class org.openimaj.vis.general.BarVisualisation.Bar
-
The value (height) of the bar
- value - Variable in class org.openimaj.vis.ternary.TernaryPlot.TernaryData
-
the value at a,b,c
- value(SparseAutoencoder.Model, double[]) - Method in class org.openimaj.workinprogress.featlearn.SparseAutoencoder
-
- value(MODEL, DATATYPE) - Method in interface org.openimaj.workinprogress.optimisation.ObjectiveFunction
-
- value - Variable in class org.openimaj.workinprogress.optimisation.params.KeyedParameters.ObjectDoubleEntry
-
- value(MODEL, DATATYPE) - Method in class org.openimaj.workinprogress.optimisation.SGD
-
- ValueAnimator<T> - Interface in org.openimaj.content.animation.animator
-
Interface for objects capable of "animating" a value;
that is providing a new value everytime
ValueAnimator.nextValue()
is
called, subject to some constraints.
- valueClass - Variable in class org.openimaj.feature.local.list.LocalFeatureListIndex
-
- ValueClassifier - Class in org.openimaj.image.objectdetection.haar
-
A classifier that just returns a constant value.
- ValueClassifier(float) - Constructor for class org.openimaj.image.objectdetection.haar.ValueClassifier
-
Construct with the given value.
- valueOf(String) - Static method in enum com.jsaragih.IO.Types
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Item._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.put_args._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.Kestrel.put_result._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum net.lag.kestrel.thrift.QueueInfo._Fields
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.audio.AudioAnnotator.AudioAnnotatorType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.audio.AudioPlayer.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.audio.conversion.BitDepthConverter.BitDepthConversionAlgorithm
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.audio.conversion.SampleRateConverter.SampleRateConversionAlgorithm
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.audio.filters.EQFilter.EQType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.citation.annotation.output.StandardFormatters
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.citation.annotation.ReferenceType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAnalyser.Strategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.ByteFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.DoubleFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.FloatFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.IntFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.LongFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.ShortFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.SparseByteFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.SparseDoubleFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.SparseFloatFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.SparseIntFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.SparseLongFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.feature.SparseShortFVComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hadoop.sequencefile.NamingStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.downloader.DownloadMapper.Counters
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.downloader.InputMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.exif.EXIFOutputMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.sequencefile.ListModeOptions
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.twitter.ReducerModeOption
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEnum
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.WritablePairEnum
-
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.twitter.token.mode.TextEntryType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.twitter.token.mode.TwitterTokenModeOption
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.WritableEnumCounter
-
- valueOf(String) - Static method in enum org.openimaj.hadoop.tools.twitter.token.outputmode.TwitterTokenOutputModeOption
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.gps.NMEASentenceType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_depth_format
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_device_flags
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_led_options
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_loglevel
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_resolution
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_tilt_status_code
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_video_format
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.KinectLEDMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.hardware.kinect.KinectTiltStatus
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.analysis.algorithm.FourierTemplateMatcher.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.analysis.algorithm.ImageInterpolation.InterpolationType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.annotation.evaluation.datasets.MMSys2013.QuestionResponse
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.ARGBPlane
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.camera.calibration.ChessboardCornerFinder.Options
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.colour.ColourMap.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.colour.ColourMap.Type
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.colour.ColourMap
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.colour.ColourSpace
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.connectedcomponent.ConnectedComponentLabeler.Algorithm
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor.BasicShapeDescriptorType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.connectedcomponent.proc.ColourDescriptor.ColourDescriptorType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.contour.ContourType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.Aspect
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.Color
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.Freshness
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.ImageContent
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.ImageType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.License
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.SafeSearch
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.Size
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.dataset.FlickrImageDataset.Size
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy.BlockNormalisation
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.feature.global.AvgBrightness.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.feature.global.Colorfulness.ColorfulnessAttr
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.feature.global.HueStats.ToneAttr
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator.MSERDirection
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.Image.Field
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.indexing.vlad.VLADIndexerDataBuilder.StandardPostProcesses
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.objectdetection.haar.training.HaarFeatureType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.pixel.ConnectedComponent.ConnectMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.pixel.sampling.FLineSampler
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.processing.convolution.FImageGradients.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.processing.face.detection.FaceDetectorFeatures
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.processing.face.detection.HaarCascadeDetector.BuiltInCascade
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint.FacialKeypointType
-
Returns the enum constant of this type with the specified name.
- valueOf(int) - Static method in enum org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint.FacialKeypointType
-
- valueOf(String) - Static method in enum org.openimaj.image.processing.mask.MatteGenerator.MatteType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.processing.resize.ResizeProcessor.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.processor.connectedcomponent.render.ConfigurableRenderOptions
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.renderer.RenderHints.DrawingAlgorithm
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.text.extraction.swt.SWTTextDetector.Direction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.typography.FontStyle.HorizontalAlignment
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.typography.FontStyle.VerticalAlignment
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.image.typography.hershey.HersheyFont
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.math.geometry.line.Line2d.IntersectionType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.math.geometry.shape.util.GrahamScan.Turn
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.math.geometry.shape.util.RotatingCalipers.Corner
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.math.geometry.transforms.FundamentalRefinement.Parameterisation
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.math.geometry.transforms.FundamentalRefinement
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.math.geometry.transforms.HomographyRefinement
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.math.statistics.distribution.kernel.StandardUnivariateKernels
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.annotation.linear.LiblinearAnnotator.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner.ScoringScheme
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner.ScoringScheme
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner.ScoringScheme
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner.ScoringScheme
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner.ScoringScheme
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner.ScoringScheme
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.gmm.GaussianMixtureModelEM.CovarianceType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.gmm.GaussianMixtureModelEM.UpdateOptions
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.kernel.HomogeneousKernelMap.KernelType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.kernel.HomogeneousKernelMap.WindowType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.linear.data.BillMatlabFileDataGenerator.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.ml.linear.learner.perceptron.PerceptronClass
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.picslurper.output.OutputListenerMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.picslurper.output.TrendDetectorFeatureMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.rdf.owl2java.PropertyDef.PropertyType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.rdf.storm.tool.topology.TopologyModeOption
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.namedentity.EntityAnnotator.EntityType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.namedentity.IgnoreTokenStripper.Language
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.namedentity.NamedEntity.Type
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Polarity
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Pos
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Type
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.sentiment.type.BipolarSentiment.State
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.textpipe.annotations.PhraseAnnotation.Phrase
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.text.nlp.textpipe.annotations.POSAnnotation.PartOfSpeech
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.clusterquantiser.ClusterType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.clusterquantiser.fastkmeans.ByteKMeansInitialisers
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.clusterquantiser.FileType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.clusterquantiser.Precision
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.faces.PredefinedStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.faces.recognition.options.Aligners.AnyAligner
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.faces.recognition.options.FaceDetectors.AnyBasicFImageDetector
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.faces.recognition.options.RecognitionStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.globalfeature.FeatureComparison
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.globalfeature.GlobalFeatureType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.globalfeature.ShapeFeatures
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.imagecollection.collection.config.ImageCollectionMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.imagecollection.collection.config.ImageCollectionProcessorMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.imagecollection.collection.config.MetaMapperMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.imagecollection.ImageCollectionProcessorMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.imagecollection.MetaMapperMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.localfeature.options.LocalFeatureMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.reddit.SplitModeOption
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.similaritymatrix.SimilarityMatrixToolOptions.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.twitter.modes.filter.RegexEngineMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.twitter.modes.filter.TwitterPreprocessingFilterOption
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.twitter.modes.output.TwitterOutputModeOption
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.twitter.modes.preprocessing.TwitterPreprocessingModeOption
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.tools.twitter.options.StatusType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.video.tracking.klt.KLTTracker.SelectionMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.video.VideoDisplay.EndAction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.video.VideoDisplay.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.vis.general.HeightMap3D.HeightMapType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.vis.general.Rectangle3DPlotter.RectanglePlotPosition
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.vis.timeline.Timeline.TimelineMarkerType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.vis.video.VideoObjectVisualisation.DrawType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.web.scraping.images.ImgurClient.ImgurType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.openimaj.workinprogress.sgdsvm.LossFunctions
-
Returns the enum constant of this type with the specified name.
- ValuePixel<T> - Class in org.openimaj.image.pixel
-
An abstract class for objects that represent a pixel and its value.
- ValuePixel(int, int) - Constructor for class org.openimaj.image.pixel.ValuePixel
-
Default constructor
- values - Variable in class ch.akuhn.matrix.DenseMatrix
-
- values() - Method in class ch.akuhn.matrix.SparseVector
-
- values() - Static method in enum com.jsaragih.IO.Types
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Item._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.abort_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.confirm_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.delete_queue_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_all_queues_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.flush_queue_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.get_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.get_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.get_version_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.peek_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.put_args._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.Kestrel.put_result._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum net.lag.kestrel.thrift.QueueInfo._Fields
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.audio.AudioAnnotator.AudioAnnotatorType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.audio.AudioPlayer.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.audio.conversion.BitDepthConverter.BitDepthConversionAlgorithm
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.audio.conversion.SampleRateConverter.SampleRateConversionAlgorithm
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.audio.filters.EQFilter.EQType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.citation.annotation.output.StandardFormatters
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.citation.annotation.ReferenceType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAnalyser.Strategy
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.openimaj.feature.ArrayFeatureVector
-
Array of all the values in the feature vector
- values() - Static method in enum org.openimaj.feature.ByteFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.feature.DoubleFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.feature.FloatFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.feature.IntFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.feature.LongFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.feature.ShortFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.openimaj.feature.SparseByteFV
-
The underlying data backing the feature vector
- values() - Static method in enum org.openimaj.feature.SparseByteFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.openimaj.feature.SparseDoubleFV
-
The underlying data backing the feature vector
- values() - Static method in enum org.openimaj.feature.SparseDoubleFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.openimaj.feature.SparseFloatFV
-
The underlying data backing the feature vector
- values() - Static method in enum org.openimaj.feature.SparseFloatFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.openimaj.feature.SparseIntFV
-
The underlying data backing the feature vector
- values() - Static method in enum org.openimaj.feature.SparseIntFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.openimaj.feature.SparseLongFV
-
The underlying data backing the feature vector
- values() - Static method in enum org.openimaj.feature.SparseLongFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.openimaj.feature.SparseShortFV
-
The underlying data backing the feature vector
- values() - Static method in enum org.openimaj.feature.SparseShortFVComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.sequencefile.NamingStrategy
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.tools.downloader.DownloadMapper.Counters
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.tools.downloader.InputMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.tools.exif.EXIFOutputMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.tools.sequencefile.ListModeOptions
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.tools.twitter.ReducerModeOption
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairEnum
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.tools.twitter.token.mode.TextEntryType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hadoop.tools.twitter.token.mode.TwitterTokenModeOption
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- Values - Class in org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv
-
Output the word/time values for each word
- Values(String, int, boolean, boolean) - Constructor for class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.Values
-
Assign the output path for the stage
- values - Variable in class org.openimaj.hadoop.tools.twitter.token.outputmode.sparsecsv.WordTimeValue
-
- values() - Static method in enum org.openimaj.hadoop.tools.twitter.token.outputmode.TwitterTokenOutputModeOption
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.gps.NMEASentenceType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_depth_format
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_device_flags
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_led_options
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_loglevel
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_resolution
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_tilt_status_code
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.freenect.libfreenectLibrary.freenect_video_format
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.KinectLEDMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.hardware.kinect.KinectTiltStatus
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.analysis.algorithm.FourierTemplateMatcher.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.analysis.algorithm.ImageInterpolation.InterpolationType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.analysis.algorithm.TemplateMatcher.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.annotation.evaluation.datasets.MMSys2013.QuestionResponse
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.ARGBPlane
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.camera.calibration.ChessboardCornerFinder.Options
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.colour.ColourMap.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.colour.ColourMap.Type
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.colour.ColourMap
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.colour.ColourSpace
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.connectedcomponent.ConnectedComponentLabeler.Algorithm
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor.BasicShapeDescriptorType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.connectedcomponent.proc.ColourDescriptor.ColourDescriptorType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.contour.ContourType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.Aspect
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.Color
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.Freshness
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.ImageContent
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.ImageType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.License
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.SafeSearch
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.BingImageDataset.ImageDataSourceQuery.Size
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.dataset.FlickrImageDataset.Size
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.feature.dense.gradient.binning.FixedHOGStrategy.BlockNormalisation
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.feature.global.AvgBrightness.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.feature.global.Colorfulness.ColorfulnessAttr
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.feature.global.HueStats.ToneAttr
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.feature.local.detector.mser.MSERFeatureGenerator.MSERDirection
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.Image.Field
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.indexing.vlad.VLADIndexerDataBuilder.StandardPostProcesses
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.objectdetection.haar.training.HaarFeatureType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.pixel.ConnectedComponent.ConnectMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.pixel.sampling.FLineSampler
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.processing.convolution.FImageGradients.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.processing.face.detection.FaceDetectorFeatures
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.processing.face.detection.HaarCascadeDetector.BuiltInCascade
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.processing.face.detection.keypoints.FacialKeypoint.FacialKeypointType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.processing.mask.MatteGenerator.MatteType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.processing.resize.ResizeProcessor.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.processor.connectedcomponent.render.ConfigurableRenderOptions
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.renderer.RenderHints.DrawingAlgorithm
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.text.extraction.swt.SWTTextDetector.Direction
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.typography.FontStyle.HorizontalAlignment
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.typography.FontStyle.VerticalAlignment
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.image.typography.hershey.HersheyFont
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.math.geometry.line.Line2d.IntersectionType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.math.geometry.shape.util.GrahamScan.Turn
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.math.geometry.shape.util.RotatingCalipers.Corner
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.math.geometry.transforms.FundamentalRefinement.Parameterisation
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.math.geometry.transforms.FundamentalRefinement
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.math.geometry.transforms.HomographyRefinement
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.math.statistics.distribution.kernel.StandardUnivariateKernels
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.annotation.linear.LiblinearAnnotator.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalByteHardAssigner.ScoringScheme
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalDoubleHardAssigner.ScoringScheme
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalFloatHardAssigner.ScoringScheme
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalIntHardAssigner.ScoringScheme
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalLongHardAssigner.ScoringScheme
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.clustering.assignment.hard.HierarchicalShortHardAssigner.ScoringScheme
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.gmm.GaussianMixtureModelEM.CovarianceType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.gmm.GaussianMixtureModelEM.UpdateOptions
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.kernel.HomogeneousKernelMap.KernelType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.kernel.HomogeneousKernelMap.WindowType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.linear.data.BillMatlabFileDataGenerator.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.ml.linear.learner.perceptron.PerceptronClass
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.picslurper.output.OutputListenerMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.picslurper.output.TrendDetectorFeatureMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.rdf.owl2java.PropertyDef.PropertyType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.rdf.storm.tool.topology.TopologyModeOption
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.namedentity.EntityAnnotator.EntityType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.namedentity.IgnoreTokenStripper.Language
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.namedentity.NamedEntity.Type
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Polarity
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Pos
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Type
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.sentiment.type.BipolarSentiment.State
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.textpipe.annotations.PhraseAnnotation.Phrase
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.text.nlp.textpipe.annotations.POSAnnotation.PartOfSpeech
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.clusterquantiser.ClusterType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.clusterquantiser.fastkmeans.ByteKMeansInitialisers
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.clusterquantiser.FileType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.clusterquantiser.Precision
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.faces.PredefinedStrategy
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.faces.recognition.options.Aligners.AnyAligner
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.faces.recognition.options.FaceDetectors.AnyBasicFImageDetector
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.faces.recognition.options.RecognitionStrategy
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.globalfeature.FeatureComparison
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.globalfeature.GlobalFeatureType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.globalfeature.ShapeFeatures
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.imagecollection.collection.config.ImageCollectionMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.imagecollection.collection.config.ImageCollectionProcessorMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.imagecollection.collection.config.MetaMapperMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.imagecollection.ImageCollectionProcessorMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.imagecollection.MetaMapperMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.localfeature.options.LocalFeatureMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.reddit.SplitModeOption
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.similaritymatrix.SimilarityMatrixToolOptions.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.twitter.modes.filter.RegexEngineMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.twitter.modes.filter.TwitterPreprocessingFilterOption
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.twitter.modes.output.TwitterOutputModeOption
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.twitter.modes.preprocessing.TwitterPreprocessingModeOption
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.tools.twitter.options.StatusType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class org.openimaj.util.array.SparseBinSearchByteArray
-
- values() - Method in class org.openimaj.util.array.SparseBinSearchByteArray
-
- values - Variable in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- values() - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
-
- values - Variable in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- values() - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
-
- values - Variable in class org.openimaj.util.array.SparseBinSearchIntArray
-
- values() - Method in class org.openimaj.util.array.SparseBinSearchIntArray
-
- values - Variable in class org.openimaj.util.array.SparseBinSearchLongArray
-
- values() - Method in class org.openimaj.util.array.SparseBinSearchLongArray
-
- values - Variable in class org.openimaj.util.array.SparseBinSearchShortArray
-
- values() - Method in class org.openimaj.util.array.SparseBinSearchShortArray
-
- values() - Method in class org.openimaj.util.array.SparseByteArray
-
- values() - Method in class org.openimaj.util.array.SparseDoubleArray
-
- values() - Method in class org.openimaj.util.array.SparseFloatArray
-
- values() - Method in class org.openimaj.util.array.SparseHashedByteArray
-
- values() - Method in class org.openimaj.util.array.SparseHashedDoubleArray
-
- values() - Method in class org.openimaj.util.array.SparseHashedFloatArray
-
- values() - Method in class org.openimaj.util.array.SparseHashedIntArray
-
- values() - Method in class org.openimaj.util.array.SparseHashedLongArray
-
- values() - Method in class org.openimaj.util.array.SparseHashedShortArray
-
- values() - Method in class org.openimaj.util.array.SparseIntArray
-
- values() - Method in class org.openimaj.util.array.SparseLongArray
-
- values() - Method in class org.openimaj.util.array.SparseShortArray
-
- values() - Static method in enum org.openimaj.video.tracking.klt.KLTTracker.SelectionMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.video.VideoDisplay.EndAction
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.video.VideoDisplay.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.vis.general.HeightMap3D.HeightMapType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.vis.general.Rectangle3DPlotter.RectanglePlotPosition
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.vis.timeline.Timeline.TimelineMarkerType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.vis.video.VideoObjectVisualisation.DrawType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.web.scraping.images.ImgurClient.ImgurType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum org.openimaj.workinprogress.sgdsvm.LossFunctions
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- valueThreshold - Variable in class org.openimaj.image.feature.dense.gradient.dsift.DenseSIFT
-
Threshold for clipping the SIFT features
- valueThreshold - Variable in class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
Threshold for the maximum allowed value in the histogram
- valueThreshold - Variable in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
Threshold for the maximum allowed value in the histogram
- valueThreshold - Variable in class org.openimaj.image.feature.local.engine.DoGSIFTEngineOptions
-
Threshold for the maximum value allowed in the histogram (default 0.2)
- var(double[]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sample variance of a one dimensional double array.
- var(double[][]) - Static method in class org.openimaj.math.util.DoubleArrayStatsUtils
-
Calculate the sample variance of a one dimensional double array.
- var(float[]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the variance of a one dimensional float array.
- var(float[][]) - Static method in class org.openimaj.math.util.FloatArrayStatsUtils
-
Calculate the variance of a one dimensional float array.
- varGamma - Variable in class org.openimaj.pgm.vb.lda.mle.LDAVariationlState
-
the dirichlet parameter for the topic multinomials
- VARIABLE_MEDIAN() - Constructor for class org.openimaj.ml.clustering.kdtree.SplitDetectionMode.VARIABLE_MEDIAN
-
Sets the change tolerance to 0.1 (i.e.
- VARIABLE_MEDIAN(double) - Constructor for class org.openimaj.ml.clustering.kdtree.SplitDetectionMode.VARIABLE_MEDIAN
-
- VariableLength - Interface in org.openimaj.io
-
Marker interface for classes that represent something of
variable length.
- variance - Variable in class org.openimaj.image.pixel.statistics.BasicDescriptiveStatisticsModel
-
The variance of pixel values
- variance - Variable in class org.openimaj.math.statistics.distribution.DiagonalMultivariateGaussian
-
The diagonal of the covariance matrix
- variance - Variable in class org.openimaj.math.statistics.distribution.SphericalMultivariateGaussian
-
The variance
- variance() - Method in class org.openimaj.math.util.RunningStat
-
Returns the running variance
- vec - Variable in class org.openimaj.image.feature.local.descriptor.gradient.IrregularBinningSIFTFeatureProvider
-
- vec - Variable in class org.openimaj.image.feature.local.descriptor.gradient.SIFTFeatureProvider
-
- vec() - Method in class org.openimaj.math.matrix.MeanVector
-
- veclen - Variable in class org.openimaj.feature.local.list.FileLocalFeatureList
-
- vecLength() - Method in class org.openimaj.feature.local.list.FileLocalFeatureList
-
- vecLength() - Method in interface org.openimaj.feature.local.list.LocalFeatureList
-
Get the length of the feature-vectors of each local feature if they are
constant.
- vecLength() - Method in class org.openimaj.feature.local.list.MemoryLocalFeatureList
-
- vecLength() - Method in class org.openimaj.feature.local.list.StreamLocalFeatureList
-
- vector - Variable in class ch.akuhn.matrix.eigenvalues.Eigenvalues
-
The eigenvectors
- Vector - Class in ch.akuhn.matrix
-
An ordered list of floating point numbers.
- Vector() - Constructor for class ch.akuhn.matrix.Vector
-
- vector - Variable in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
-
keypoint feature descriptor (i.e.
- vector - Variable in class org.openimaj.workinprogress.optimisation.params.VectorParameters
-
- Vector.Entry - Class in ch.akuhn.matrix
-
An entry in a sparse vector
- VectorAggregator<FEATURE extends FeatureVector,AGGREGATE extends FeatureVector> - Interface in org.openimaj.image.feature.local.aggregate
-
Interface describing an object that can convert a list of local features from
a single image into an aggregated vector form.
- vectorArrayToMatrix(Vector[], boolean) - Method in class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
- VectorImageUtilities - Class in org.openimaj.image
-
- VectorKernel - Interface in org.openimaj.ml.linear.kernel
-
- vectorLeft - Variable in class ch.akuhn.matrix.eigenvalues.SingularValues
-
Left singular vectors
- VectorParameters - Class in org.openimaj.workinprogress.optimisation.params
-
- VectorParameters(int) - Constructor for class org.openimaj.workinprogress.optimisation.params.VectorParameters
-
- VectorParameters(double[]) - Constructor for class org.openimaj.workinprogress.optimisation.params.VectorParameters
-
- vectorRight - Variable in class ch.akuhn.matrix.eigenvalues.SingularValues
-
Right singular vectors
- verbose - Variable in class org.openimaj.tools.faces.extraction.FaceExtractorToolOptions
-
Whether to output verbose progress to the stdout
- vertex - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode
-
Piggy-backed contour vertex data
- VertexType - Class in org.openimaj.math.geometry.shape.util.polygon
-
Edge intersection classes
- VertexType() - Constructor for class org.openimaj.math.geometry.shape.util.polygon.VertexType
-
- VERTICAL_ALIGNMENT - Static variable in class org.openimaj.image.typography.FontStyle
-
Attribute for vertical alignment.
- verticalAlignment - Variable in class org.openimaj.image.typography.FontStyle
-
vertical alignment of the text
- VerticalProjection - Class in org.openimaj.image.analysis.algorithm
-
Project an image onto the y-axis
- VerticalProjection() - Constructor for class org.openimaj.image.analysis.algorithm.VerticalProjection
-
- vertices - Variable in class org.openimaj.math.geometry.shape.Triangle
-
The vertices of the triangle
- veryLoud() - Method in class org.openimaj.tools.twitter.options.AbstractTwitterPreprocessingToolOptions
-
- VFSGroupDataset<INSTANCE> - Class in org.openimaj.data.dataset
-
A
GroupedDataset
of
VFSListDataset
s backed by directories of
items (either locally or remotely), or items stored in a hierarchical
structure within a compressed archive.
- VFSGroupDataset(String, InputStreamObjectReader<INSTANCE>) - Constructor for class org.openimaj.data.dataset.VFSGroupDataset
-
Construct a grouped dataset from any virtual file system source (local
directory, remote zip file, etc).
- VFSGroupDataset(String, ObjectReader<INSTANCE, FileObject>) - Constructor for class org.openimaj.data.dataset.VFSGroupDataset
-
Construct a grouped dataset from any virtual file system source (local
directory, remote zip file, etc).
- VFSListDataset<INSTANCE> - Class in org.openimaj.data.dataset
-
A
ListDataset
backed by a directory of items (either locally or
remotely), or items stored in a compressed archive.
- VFSListDataset(String, InputStreamObjectReader<INSTANCE>) - Constructor for class org.openimaj.data.dataset.VFSListDataset
-
Construct a list dataset from any virtual file system source (local
directory, remote zip file, etc).
- VFSListDataset(String, ObjectReader<INSTANCE, FileObject>) - Constructor for class org.openimaj.data.dataset.VFSListDataset
-
Construct a list dataset from any virtual file system source (local
directory, remote zip file, etc).
- VFSListDataset.FileObjectISReader<INSTANCE> - Class in org.openimaj.data.dataset
-
- VGetVideo - Class in org.openimaj.web.video
-
A wrapper around VGet
, which supports video download from youtube, vimeo
and a few other video sites.
- VGetVideo(String) - Constructor for class org.openimaj.web.video.VGetVideo
-
- VGetVideo(String, VideoInfoUser) - Constructor for class org.openimaj.web.video.VGetVideo
-
- video - Variable in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection
-
- Video<T extends Image<?,T>> - Class in org.openimaj.video
-
Abstract base class for videos.
- Video() - Constructor for class org.openimaj.video.Video
-
- VideoAnalyser<T extends Image<?,T>> - Class in org.openimaj.video.analyser
-
This class is analagous to the
ImageAnalyser
class for analysing
image.
- VideoAnalyser() - Constructor for class org.openimaj.video.analyser.VideoAnalyser
-
Construct a stand-alone video analyser.
- VideoAnalyser(Video<T>) - Constructor for class org.openimaj.video.analyser.VideoAnalyser
-
Construct a chainable video analyser.
- videoAtEnd(VideoDisplay<? extends Image<?, ?>>) - Method in interface org.openimaj.video.VideoPositionListener
-
The video is at the end (last frame)
- videoAtStart(VideoDisplay<? extends Image<?, ?>>) - Method in interface org.openimaj.video.VideoPositionListener
-
The video is at the start (first frame)
- VideoBarVisualisation - Class in org.openimaj.vis.video
-
Displays a block, or bar, which represents the data.
- VideoBarVisualisation(Video<MBFImage>) - Constructor for class org.openimaj.vis.video.VideoBarVisualisation
-
- VideoBarVisualisation.VideoTimelineMarker - Class in org.openimaj.vis.video
-
A marker for marking data frames within the data bar
- VideoCache<I extends Image<?,I>> - Class in org.openimaj.video
-
This class represents a cache of video material.
- VideoCache(int, int, double) - Constructor for class org.openimaj.video.VideoCache
-
Create a video cache for frames of the given size and for a video
of the given frame rate.
- VideoCapture - Class in org.openimaj.video.capture
-
VideoCapture is a type of
Video
that can capture live video streams
from a webcam or other video device.
- VideoCapture(int, int) - Constructor for class org.openimaj.video.capture.VideoCapture
-
Construct a VideoCapture instance with the requested width and height.
- VideoCapture(int, int, Device) - Constructor for class org.openimaj.video.capture.VideoCapture
-
Construct a VideoCapture instance with the requested width and height
using the specified video device.
- VideoCapture(int, int, double, Device) - Constructor for class org.openimaj.video.capture.VideoCapture
-
Construct a VideoCapture instance with the requested width and height
using the specified video device.
- VideoCaptureException - Exception in org.openimaj.video.capture
-
Signals an exception occurred during video capture from a hardware
device.
- VideoCaptureException(String) - Constructor for exception org.openimaj.video.capture.VideoCaptureException
-
Constructs an VideoCaptureException
with the specified detail message.
- VideoDisplay<T extends Image<?,T>> - Class in org.openimaj.video
-
Basic class for displaying videos.
- VideoDisplay(Video<T>, DisplayUtilities.ImageComponent) - Constructor for class org.openimaj.video.VideoDisplay
-
Construct a video display with the given video and frame.
- VideoDisplay(Video<T>, AudioStream, DisplayUtilities.ImageComponent) - Constructor for class org.openimaj.video.VideoDisplay
-
Construct a video display with the given video and audio
- VideoDisplay.BasicVideoTimeKeeper - Class in org.openimaj.video
-
A timekeeper for videos without audio - uses the system time to keep
track of where in a video a video should be.
- VideoDisplay.EndAction - Enum in org.openimaj.video
-
An enumerator for what to do when the video reaches the end.
- VideoDisplay.Mode - Enum in org.openimaj.video
-
Enumerator to represent the state of the player.
- VideoDisplayAdapter<T extends Image<?,T>> - Class in org.openimaj.video
-
An adapter for classes that want to listen to certain events that are
generated from a video display.
- VideoDisplayAdapter() - Constructor for class org.openimaj.video.VideoDisplayAdapter
-
- VideoDisplayListener<T extends Image<?,T>> - Interface in org.openimaj.video
-
An interface descibing a event listener that
gets fired as a video frame is displayed.
- VideoDisplayStateListener - Interface in org.openimaj.video
-
A listener interface for objects that want to know about the state
of a video display.
- videoFile - Variable in class org.openimaj.tools.faces.extraction.FaceExtractorToolOptions
-
The video file to process
- VideoFrame<T extends Image<?,T>> - Class in org.openimaj.video
-
This is a helper class that is able to wrap an image, its timecode and
other information related to video.
- VideoFrame(T, VideoTimecode) - Constructor for class org.openimaj.video.VideoFrame
-
Constructor
- VideoFrameProcessor<I extends Image<?,I>> - Class in org.openimaj.video.processor
-
- VideoFrameProcessor(ImageProcessor<I>) - Constructor for class org.openimaj.video.processor.VideoFrameProcessor
-
Non-chainable constructor
- VideoFrameProcessor(Video<I>, ImageProcessor<I>) - Constructor for class org.openimaj.video.processor.VideoFrameProcessor
-
Chainable constructor.
- VideoIterator<T extends Image<?,T>> - Class in org.openimaj.video
-
- VideoIterator(Video<T>) - Constructor for class org.openimaj.video.VideoIterator
-
Construct with given video.
- VideoKeyframe<T extends Image<?,T>> - Class in org.openimaj.video.processing.shotdetector
-
A class that represents a keyframe of a video.
- VideoKeyframe(VideoTimecode, T) - Constructor for class org.openimaj.video.processing.shotdetector.VideoKeyframe
-
Constructor that allows construction of an image-based shot
boundary.
- VideoObjectVisualisation - Class in org.openimaj.vis.video
-
A visualisation that is designed to show the position of an object over
the course of the video.
- VideoObjectVisualisation(Video<MBFImage>) - Constructor for class org.openimaj.vis.video.VideoObjectVisualisation
-
- VideoObjectVisualisation.DrawType - Enum in org.openimaj.vis.video
-
- videoPaused(VideoDisplay<?>) - Method in class org.openimaj.video.VideoDisplayAdapter
-
Called when the video display is paused.
- videoPaused(VideoDisplay<?>) - Method in interface org.openimaj.video.VideoDisplayStateListener
-
Called when the video display is paused.
- videoPaused(VideoDisplay<?>) - Method in class org.openimaj.video.VideoPlayer
-
Called when the video display is paused.
- VideoPlayer<T extends Image<?,T>> - Class in org.openimaj.video
-
This class is an extension of the
VideoDisplay
class that provides
GUI elements for starting, stopping, pausing and rewinding video.
- VideoPlayer(Video<T>) - Constructor for class org.openimaj.video.VideoPlayer
-
Create the video player to play the given video.
- VideoPlayer(Video<T>, AudioStream) - Constructor for class org.openimaj.video.VideoPlayer
-
Create the video player to play the given video.
- VideoPlayer(Video<T>, AudioStream, DisplayUtilities.ImageComponent) - Constructor for class org.openimaj.video.VideoPlayer
-
Created the video player for the given video on the given image
component.
- VideoPlayer.VideoPlayerComponent - Class in org.openimaj.video
-
The video player components encapsulates the buttons and their
functionalities, as well as animating buttons, etc.
- VideoPlayer.VideoPlayerComponent.AnimatorThread - Class in org.openimaj.video
-
Class used to animate the buttons panel on and off the screen.
- VideoPlayer.VideoPlayerComponent.ButtonsPanel - Class in org.openimaj.video
-
This class represents the widgets in the video player
- VideoPlayerComponent(DisplayUtilities.ImageComponent) - Constructor for class org.openimaj.video.VideoPlayer.VideoPlayerComponent
-
Create a new player component using the display component
- videoPlaying(VideoDisplay<?>) - Method in class org.openimaj.video.VideoDisplayAdapter
-
Called when the video display is set to play.
- videoPlaying(VideoDisplay<?>) - Method in interface org.openimaj.video.VideoDisplayStateListener
-
Called when the video display is set to play.
- videoPlaying(VideoDisplay<?>) - Method in class org.openimaj.video.VideoPlayer
-
Called when the video display is set to play.
- VideoPositionListener - Interface in org.openimaj.video
-
This interface is used for objects that wish to be informed of particular
important playback positions within a video playback.
- VideoProcessor<T extends Image<?,T>> - Class in org.openimaj.video.processor
-
A super class for classes which are able to process videos.
- VideoProcessor() - Constructor for class org.openimaj.video.processor.VideoProcessor
-
Default constructor for using the video processor in an ad-hoc manner.
- VideoProcessor(Video<T>) - Constructor for class org.openimaj.video.processor.VideoProcessor
-
Constructor for creating a video processor which is chainable.
- videoRe - Static variable in class org.openimaj.web.readability.Readability.Regexps
-
- VideoShotDetector<I extends Image<?,I>> - Class in org.openimaj.video.processing.shotdetector
-
Video shot detector class implemented as a video display listener.
- VideoShotDetector() - Constructor for class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
This constructor assumes that you will set the number of
frames per second your video uses (using
VideoShotDetector.setFPS(double)
)
when you know what that will be, otherwise your timecodes will
all be messed up.
- VideoShotDetector(double) - Constructor for class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Default constructor that allows the processor to be used ad-hoc
on frames from any source.
- VideoShotDetector(Video<I>) - Constructor for class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Constructor that takes the video file to process.
- VideoShotDetector(Video<I>, boolean) - Constructor for class org.openimaj.video.processing.shotdetector.VideoShotDetector
-
Default constructor that takes the video file to process and
whether or not to display the video as it's being processed.
- VideoSlide - Class in org.openimaj.content.slideshow
-
Slide that shows a video.
- VideoSlide(URL, URL, Matrix, VideoDisplay.EndAction) - Constructor for class org.openimaj.content.slideshow.VideoSlide
-
Default constructor.
- VideoSlide(URL, Matrix, VideoDisplay.EndAction) - Constructor for class org.openimaj.content.slideshow.VideoSlide
-
Default constructor.
- VideoSlide(URL, URL, VideoDisplay.EndAction) - Constructor for class org.openimaj.content.slideshow.VideoSlide
-
Default constructor.
- VideoSpectrogram - Class in org.openimaj.workinprogress.accel
-
- VideoSpectrogram() - Constructor for class org.openimaj.workinprogress.accel.VideoSpectrogram
-
- videoStateChanged(VideoDisplay.Mode, VideoDisplay<?>) - Method in class org.openimaj.video.VideoDisplayAdapter
-
Called when the video display's state changes.
- videoStateChanged(VideoDisplay.Mode, VideoDisplay<?>) - Method in interface org.openimaj.video.VideoDisplayStateListener
-
Called when the video display's state changes.
- videoStateChanged(VideoDisplay.Mode, VideoDisplay<?>) - Method in class org.openimaj.video.VideoPlayer
-
Called when the video display's state changes.
- videoStopped(VideoDisplay<?>) - Method in class org.openimaj.video.VideoDisplayAdapter
-
Called when the video display is stopped.
- videoStopped(VideoDisplay<?>) - Method in interface org.openimaj.video.VideoDisplayStateListener
-
Called when the video display is stopped.
- videoStopped(VideoDisplay<?>) - Method in class org.openimaj.video.VideoPlayer
-
Called when the video display is stopped.
- videoStream - Variable in class org.openimaj.hardware.kinect.KinectController
-
The RGB or IR video stream
- VideoSubFrame<T extends Image<?,T>> - Class in org.openimaj.video
-
- VideoSubFrame(T, VideoTimecode, Rectangle) - Constructor for class org.openimaj.video.VideoSubFrame
-
Constructor
- videoTag() - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection.FromFile
-
- videoTag() - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection.FromURL
-
- videoTag() - Method in class org.openimaj.tools.imagecollection.collection.video.XuggleVideoImageCollection
-
- VideoTest - Class in org.openimaj.demos
-
- VideoTest() - Constructor for class org.openimaj.demos.VideoTest
-
- VideoTimecode - Class in org.openimaj.video.timecode
-
A class for storing video timecodes.
- VideoTimecode() - Constructor for class org.openimaj.video.timecode.VideoTimecode
-
- VideoTimelineMarker() - Constructor for class org.openimaj.vis.video.VideoBarVisualisation.VideoTimelineMarker
-
- VideoTranslator<INPUT extends Image<?,INPUT>,OUTPUT extends Image<?,OUTPUT>> - Class in org.openimaj.video.translator
-
A video translator is a video processor where the input and output frame
types may be different.
- VideoTranslator(Video<INPUT>) - Constructor for class org.openimaj.video.translator.VideoTranslator
-
Construct a new VideoTranslator that will translate the given input
video.
- VideoVisualisation - Class in org.openimaj.vis
-
This class provides a means for generating a video representation of a
visualisationImpl.
- VideoVisualisation(Visualisation<?>) - Constructor for class org.openimaj.vis.VideoVisualisation
-
Construct a video visualisationImpl using the given visualisationImpl.
- VideoWriter<T extends Image<?,T>> - Class in org.openimaj.video
-
An abstract class which classes can override to provide
video writing capabilities.
- VideoWriter(int, int, double) - Constructor for class org.openimaj.video.VideoWriter
-
Default constructor that takes the frame rate at which the written
video will be replayed.
- visImage - Variable in class org.openimaj.vis.VisualisationImpl
-
The visualisation image
- Visualisation<T> - Interface in org.openimaj.vis
-
An API for objects that are able to provide visualisation for some data.
- Visualisation3D<D> - Class in org.openimaj.vis
-
- Visualisation3D(int, int) - Constructor for class org.openimaj.vis.Visualisation3D
-
- VisualisationImageProvider - Interface in org.openimaj.vis
-
- VisualisationImpl<T> - Class in org.openimaj.vis
-
A top level class for visualisations.
- VisualisationImpl() - Constructor for class org.openimaj.vis.VisualisationImpl
-
Default constructor
- VisualisationImpl(int, int) - Constructor for class org.openimaj.vis.VisualisationImpl
-
Create a new visualisation with the given width and height
- VisualisationImpl(VisualisationImpl<?>) - Constructor for class org.openimaj.vis.VisualisationImpl
-
Create a new visualisation using an existing image.
- VisualisationUtils - Class in org.openimaj.vis.utils
-
- VisualisationUtils() - Constructor for class org.openimaj.vis.utils.VisualisationUtils
-
- visualise(int, int) - Method in enum org.openimaj.image.colour.ColourMap
-
Generate an image to visualise the color map.
- visualise() - Method in enum org.openimaj.image.colour.ColourMap
-
Generate an image to visualise the color map.
- visualise(int) - Method in class org.openimaj.image.model.FisherImages
-
Draw an eigenvector as an image
- visualiseDescriptor(int) - Method in class org.openimaj.image.feature.global.Gist
-
Compute the descriptor visualisation in the same form as the original
matlab code.
- visualiseInterestPoints(Q, List<? extends InterestPointData>) - Static method in class org.openimaj.image.feature.local.interest.InterestPointVisualiser
-
Extract ellipses from second moment matricies of interest point keypoints
- visualiseInterestPoints(Q, List<? extends InterestPointData>, double) - Static method in class org.openimaj.image.feature.local.interest.InterestPointVisualiser
-
Extract ellipses from second moment matricies of interest point keypoints
- visualiseKeypoints(Q, List<? extends InterestPointKeypoint<? extends InterestPointData>>) - Static method in class org.openimaj.image.feature.local.interest.InterestPointVisualiser
-
Extract ellipses from second moment matricies of interest point keypoints
- visualisePC(int) - Method in class org.openimaj.image.model.EigenImages
-
Draw a principal component as an image.
- VLAD<T> - Class in org.openimaj.image.feature.local.aggregate
-
Implementation of VLAD, the "Vector of Locally Aggregated Descriptors"
algorithm.
- VLAD(HardAssigner<T, ?, ?>, T[], boolean) - Constructor for class org.openimaj.image.feature.local.aggregate.VLAD
-
Construct with the given assigner and the centroids associated with the
assigner.
- VLAD(HardAssigner<T, ?, ?>, CentroidsProvider<T>, boolean) - Constructor for class org.openimaj.image.feature.local.aggregate.VLAD
-
Construct with the given assigner and the centroids associated with the
assigner.
- VLADBuilder - Class in org.openimaj.tools.cbir
-
Tool to build a
VLAD
object and serialise it to a file.
- VLADBuilder() - Constructor for class org.openimaj.tools.cbir.VLADBuilder
-
- VLADIndexer<DATA extends ImageProvider<MBFImage>,METADATA extends Identifiable> - Class in org.openimaj.image.indexing.vlad
-
- VLADIndexer(VLADIndexerData, IncrementalMetaIndex<DATA, METADATA>) - Constructor for class org.openimaj.image.indexing.vlad.VLADIndexer
-
- VLADIndexerBuilder - Class in org.openimaj.tools.cbir
-
Tool to build a
VLADIndexerData
which can be used to build efficient
Product-quantised PCA-VLAD indexes.
- VLADIndexerBuilder() - Constructor for class org.openimaj.tools.cbir.VLADIndexerBuilder
-
- VLADIndexerData - Class in org.openimaj.image.indexing.vlad
-
Class representing the data required to build a VLAD + PCA +
product-quantisation based image index.
- VLADIndexerData(VLAD<float[]>, FeatureVectorPCA, FloatProductQuantiser, LocalFeatureExtractor<LocalFeature<?, ?>, MBFImage>, Function<List<? extends LocalFeature<?, ?>>, List<FloatLocalFeatureAdaptor<?>>>) - Constructor for class org.openimaj.image.indexing.vlad.VLADIndexerData
-
Construct with the given data
- VLADIndexerDataBuilder - Class in org.openimaj.image.indexing.vlad
-
Class for learning the data required to efficiently index images using VLAD
with PCA and product quantisers.
- VLADIndexerDataBuilder(LocalFeatureExtractor<LocalFeature<?, ?>, MBFImage>, List<File>, boolean, int, int, int, int, int, float, float, Function<List<? extends LocalFeature<?, ?>>, List<FloatLocalFeatureAdaptor<?>>>) - Constructor for class org.openimaj.image.indexing.vlad.VLADIndexerDataBuilder
-
- VLADIndexerDataBuilder.StandardPostProcesses - Enum in org.openimaj.image.indexing.vlad
-
Feature post-processing options
- vocabularySize() - Method in class org.openimaj.pgm.util.Corpus
-
- volume() - Method in class org.openimaj.citation.annotation.mock.MockReference
-
The volume of a journal or multi-volume book
- VolumeAdjustProcessor - Class in org.openimaj.audio.filters
-
A processor that processes the audio file by adjusting the volume
by a given factor.
- VolumeAdjustProcessor(double) - Constructor for class org.openimaj.audio.filters.VolumeAdjustProcessor
-
Default constructor that takes the volume adjustment
factor as a double.
- VolumeAdjustProcessor(double, AudioStream) - Constructor for class org.openimaj.audio.filters.VolumeAdjustProcessor
-
Constructor that takes the volume adjustment factor to apply
to the given stream.
- Voronoi - Class in org.openimaj.math.geometry.triangulation
-
Static methods for the computation of a Voronoi diagram (aka Dirichlet
tessellation) from a set of points.
- vote(Pair<T>) - Method in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- VotingKeypointMatcher<T extends Keypoint> - Class in org.openimaj.feature.local.matcher
-
Matcher rejects matches with no local support
- VotingKeypointMatcher(int) - Constructor for class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- VotingKeypointMatcher(int, int, int, float) - Constructor for class org.openimaj.feature.local.matcher.VotingKeypointMatcher
-
- vstack(MatrixFactory<? extends Matrix>, Matrix...) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Stack matrices vertically
- vstack(Matrix...) - Static method in class org.openimaj.math.matrix.CFMatrixUtils
-
Stack matrices vertically
- vstack(Matrix...) - Static method in class org.openimaj.math.matrix.MatlibMatrixUtils
-
Stack matrices vertically
- Vt - Variable in class org.openimaj.math.matrix.ThinSingularValueDecomposition
-
The transpose of the V matrix