Index (OpenIMAJ master project 1.3.10 API)

$ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

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$INIT(Object...) - Static method in enum org.openimaj.hardware.gps.NMEASentenceType

A

AbbreviationPatternProvider - Class in org.openimaj.text.nlp.patterns: common abbreviation pattern
AbbreviationPatternProvider(EntityPatternProvider) - Constructor for class org.openimaj.text.nlp.patterns.AbbreviationPatternProvider: Using an EntityPatternProvider instance construct the regexes
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: Abstract base implementation of a MaskedObject.
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: Abstract base class for implementations of MultiScaleObjectDetector.
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: Abstract base class for MultivariateGaussian implementations
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 Octaves 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 LocalFeatures as they are extracted from Octaves.
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: Accumulate this image the the given AccumulatingImageCombiner.
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> - Class in org.openimaj.image.model.asm: Implementation of a basic Active Shape Model.
ActiveShapeModel(PointDistributionModel, LandmarkModel[]) - Constructor for class org.openimaj.image.model.asm.ActiveShapeModel: Construct an ActiveShapeModel from a pre-trained PointDistributionModel and set of LandmarkModels.
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 the sub-dataset such that it becomes a group in the MapBackedDataset returned by MapBackedDataset.IdentifiableBuilder.build() where the key is the identifier returned by Identifiable.getID().
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: Set the TokenAnnotations matched by this 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: Register the given Reference
addReference(Class<?>) - Static method in class org.openimaj.citation.ReferenceListener: Register the any Reference or References from the given class.
addReference(Class<?>, String, String) - Static method in class org.openimaj.citation.ReferenceListener: Register the any Reference or References from the given method.
addReferences(Collection<Reference>) - Static method in class org.openimaj.citation.ReferenceListener: Register the given References
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: Add the given SerialDataListener to the listener list.
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) - 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: Add an AudioStream to this mixer.
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: Create an AdjustedRandomIndexAnalysis instance
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: Construct with another 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 & 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: Create an AffineTransformModel
AffineTransformModel(Predicate<AffineTransformModel>) - Constructor for class org.openimaj.math.geometry.transforms.AffineTransformModel: Create an 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: Create an 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) - 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: Check if a TextPipeAnnotation has been added to all members in a list of TextPipeAnnotation.
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: SIFT engine that isn't rotation invariant (using NullOrientationExtractor) and uses the IrregularBinningSIFTFeatureProvider.
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 the raw data produced by a call to Evaluator.evaluate() and return the analysed data.
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: Analyse this image with a PixelAnalyser.
analyseWith(ImageAnalyser) - Method in class org.openimaj.image.Image: Analyse this image with an ImageAnalyser.
analyseWith(PixelAnalyser<Q>) - Method in class org.openimaj.image.Image: Analyse this image with a PixelAnalyser.
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: Given a DecisionAnalysis, construct an analysis
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> - 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: An interface for objects that want to listen for animation events from an AnimatedVisualisationProvider.
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: Annotates the given TextPipeAnnotation.
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: Construct the AnnotatedListHelper with the given list.
AnnotatedObject<OBJECT,ANNOTATION> - Class in org.openimaj.ml.annotation: Basic implementation of Annotated.
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: A FaceRecogniser built on top of an IncrementalAnnotator.
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: A DataSource backed by an array.
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: A bounded variant of a blocking queue backed by an array.
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: Comparator for sorting edges in ascending order
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 & 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: A commonly used option, while all others in DoGSIFTEngineOptions are default
ASIFT(DoGSIFTEngineOptions) - 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: An Engine for 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: Uses the IntRandomForest.assignWord(int[]) function to construct the word representing this data point.
assignBufferedImage(BufferedImage, I) - Static method in class org.openimaj.image.ImageUtilities: Assign the contents of a BufferedImage to an Image.
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 AudioStreams 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: Construct with the given video and VideoDisplay.EndAction
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

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: Set of the basic features (non tilted edges & lines + HaarFeatureType.X2Y2)
BasicASIFT - Class in org.openimaj.image.feature.local.affine: Standard implementation of Affine-simulated SIFT (ASIFT) for FImages.
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: Construct with the given options for the internal DoGSIFTEngine.
BasicBackgroundSubtract> - 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: A timekeeper that generates MeasuresBeatsTicksTimecodes that allow the position within a music score to be tracked.
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: A basic concrete implementation of an AbstractOctaveExtremaFinder that searches for local extrema in scale space.
BasicOctaveExtremaFinder() - Constructor for class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder: Default constructor using BasicOctaveExtremaFinder.DEFAULT_MAGNITUDE_THRESHOLD for the magnitude threshold and AbstractOctaveExtremaFinder.DEFAULT_EIGENVALUE_RATIO for the Eigenvalue ratio threshold.
BasicOctaveExtremaFinder(float) - Constructor for class org.openimaj.image.feature.local.detector.pyramid.BasicOctaveExtremaFinder: Construct with the given magnitude threshold and AbstractOctaveExtremaFinder.DEFAULT_EIGENVALUE_RATIO for the Eigenvalue ratio threshold.
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: An AbstractOctaveInterestPointFinder that detects points on a regular grid.
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: Options for the BatchExtractor tool.
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: Parameters used to control a BilinearSparseOnlineLearner
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: Initialize sentiment as BipolarSentiment.State.NEUTRAL
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: A Sketcher that produces bit-string sketches encoded as a BitSet.
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: Base for a Stream with an internal buffer based on a BlockingDroppingQueue.
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: A BlockSpatialAggregator performs spatial pooling of local features by grouping the local features into non-overlapping, fixed-size spatial blocks, and applying a VectorAggregator (i.e.
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: A bounded priority queue based on an InvertedPriorityQueue.
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: Delegate for ProgrammaticBrowser to hand javascript messages to.
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: Returns a newly-created MapBackedDataset.
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: Returns a WorldPlace given a country name.
byCountryCode(String) - Method in class org.openimaj.text.geo.WorldPolygons
byCountryCode(String) - Method in class org.openimaj.vis.world.WorldPolygons: Returns a WorldPlace given a country code.
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: A DataSource backed by a 2D array of bytes.
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: A ValueAnimator capable of producing byte arrays from a set of potentially independent underlying ValueAnimators.
ByteArrayValueAnimator(ValueAnimator<Byte>...) - Constructor for class org.openimaj.content.animation.animator.ByteArrayValueAnimator: Construct from an array of ValueAnimators
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: The result of a SpatialClusterer that just produces a flat set of centroids.
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: Filter LocalFeatures typed on ByteFV by rejecting those that have a low feature entropy.
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: Base RandomisedHashFunction for hashing byte arrays.
ByteHashFunctionFactory - Class in org.openimaj.lsh.functions: Base RandomisedHashFunction for producing hash functions seeded by random numbers.
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: Construct with the given data and default splitting strategy (ByteKDTree.BBFMedianSplit)
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: NearestNeighboursFactory for producing ByteNearestNeighboursExacts.
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: NearestNeighboursFactory for producing ByteNearestNeighboursKDTrees.
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: Construct a ByteProductQuantiser with the given nearest-neighbour assigners.
ByteProductQuantiserUtilities - Class in org.openimaj.knn.pq: Utility methods for easily creating a ByteProductQuantiser using (Exact) K-Means.
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

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: DoubleSpectralClustering extention which knows how to write and read its eigenvectors to disk and therefore not regenerate them when calling the underlying PreparedSpectralClustering
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) - Static method in class org.openimaj.video.VideoCache: Cache the whole of the given video.
cacheVideo(Video, 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: Construct the cache HashMap.
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: Get the centre of gravity of the 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, μ_pq around the given centroid.
calculateMoment(int, int) - Method in class org.openimaj.image.pixel.PixelSet: Calculate the pq central moment, μ_pq for this region.
calculateMomentNormalised(int, int) - Method in class org.openimaj.image.pixel.PixelSet: Calculate the normalized, unscaled, central moments η_pq.
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