Uses of Class
org.openimaj.util.pair.Pair

Packages that use Pair

Package	Description
org.openimaj.audio
org.openimaj.demos
org.openimaj.feature.local.matcher
org.openimaj.feature.local.matcher.consistent
org.openimaj.feature.local.matcher.quantised
org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count
org.openimaj.image.feature.local.interest.experiment
org.openimaj.image.pixel.statistics
org.openimaj.image.processing.face.alignment	The alignment package contains implementations of face aligners.
org.openimaj.image.processing.transform
org.openimaj.math.geometry.transforms
org.openimaj.ml.linear.data
org.openimaj.ml.linear.evaluation
org.openimaj.ml.linear.learner

Uses of Pair in org.openimaj.audio

Methods in org.openimaj.audio with parameters of type Pair

Modifier and Type	Method and Description
void	FrequencyAudioSource.addFrequencyListener(FrequencyAudioSource.Listener l, Pair<Integer> requestFrequencyRange) Add a listener

Uses of Pair in org.openimaj.demos

Methods in org.openimaj.demos that return types with arguments of type Pair

Modifier and Type	Method and Description
static List<Pair<Keypoint>>	DTConsistency.filterDuplicatePoints(List<Pair<Keypoint>> matches)

Method parameters in org.openimaj.demos with type arguments of type Pair

Modifier and Type	Method and Description
static int	DTConsistency.computeDTScore(List<? extends Pair<? extends Point2d>> matches)
static DTConsistency.DTConsistencyInfo	DTConsistency.computeTriangulationInfo(List<? extends Pair<? extends Point2d>> matches)
static List<Pair<Keypoint>>	DTConsistency.filterDuplicatePoints(List<Pair<Keypoint>> matches)
static List<Triangle>	DTConsistency.triangulateFirst(List<? extends Pair<? extends Point2d>> matches)
static List<Triangle>	DTConsistency.triangulateSecond(List<? extends Pair<? extends Point2d>> matches)

Uses of Pair in org.openimaj.feature.local.matcher

Fields in org.openimaj.feature.local.matcher with type parameters of type Pair

Modifier and Type	Field and Description
protected List<Pair<T>>	BasicMatcher.matches
protected List<Pair<T>>	FastEuclideanKeypointMatcher.matches
protected List<Pair<T>>	MultipleMatchesMatcher.matches
protected List<Pair<T>>	BasicTwoWayMatcher.matches

Methods in org.openimaj.feature.local.matcher that return types with arguments of type Pair

Modifier and Type	Method and Description
List<Pair<T>>	VotingKeypointMatcher.getAllMatches()
List<Pair<T>>	BasicMatcher.getMatches()
List<Pair<T>>	FastEuclideanKeypointMatcher.getMatches()
List<Pair<T>>	MultipleMatchesMatcher.getMatches()
List<Pair<T>>	VotingKeypointMatcher.getMatches()
List<Pair<T>>	LocalFeatureMatcher.getMatches() Get the matches detected by the underlying algorithm
List<Pair<T>>	FastLimitedEuclideanKeypointMatcher.getMatches()
List<Pair<T>>	BasicTwoWayMatcher.getMatches()

Methods in org.openimaj.feature.local.matcher with parameters of type Pair

Modifier and Type	Method and Description
protected int	VotingKeypointMatcher.vote(Pair<T> match)

Method parameters in org.openimaj.feature.local.matcher with type arguments of type Pair

Modifier and Type	Method and Description
static float	KeypointCorrespondenceTestHelper.correspondance(List<Pair<Keypoint>> matches, Jama.Matrix transform) Provide simplistic check of correspondence between the keypoints extracted and a given transform.
static float	KeypointCorrespondenceTestHelper.correspondance(List<Pair<Keypoint>> matches, Jama.Matrix transform, float scaleThreshold) Provide simplistic check of correspondence between the keypoints extracted and a given transform.
static <T,I extends Image<T,I>> void	MatchingUtilities.displayMouseOverMatches(I im1, I im2, List<Pair<Keypoint>> matches, T col) Create an interactive display of matches between two images.
static <T,I extends Image<T,I>> I	MatchingUtilities.drawMatches(I im1, I im2, List<? extends Pair<? extends Point2d>> matches, T col) Draw matches between two images in the given colour.
static <T,I extends Image<T,I>> I	MatchingUtilities.drawMatches(I im1, I im2, List<? extends Pair<? extends Point2d>> matches, T col, List<? extends Pair<? extends Point2d>> matches2, T col2) Draw two sets of matches between two images in the given colours.
static <T,I extends Image<T,I>> I	MatchingUtilities.drawMatches(I im1, I im2, List<? extends Pair<? extends Point2d>> matches, T col, List<? extends Pair<? extends Point2d>> matches2, T col2) Draw two sets of matches between two images in the given colours.

Uses of Pair in org.openimaj.feature.local.matcher.consistent

Fields in org.openimaj.feature.local.matcher.consistent with type parameters of type Pair

Modifier and Type	Field and Description
protected List<Pair<T>>	ConsistentLocalFeatureMatcher2d.consistentMatches

Methods in org.openimaj.feature.local.matcher.consistent that return types with arguments of type Pair

Modifier and Type	Method and Description
List<Pair<T>>	ConsistentLocalFeatureMatcher2d.getAllMatches()
List<Pair<T>>	LocalConsistentKeypointMatcher.getAllMatches()
List<Pair<T>>	ConsistentLocalFeatureMatcher2d.getMatches()
List<Pair<T>>	LocalConsistentKeypointMatcher.getMatches()

Uses of Pair in org.openimaj.feature.local.matcher.quantised

Fields in org.openimaj.feature.local.matcher.quantised with type parameters of type Pair

Modifier and Type	Field and Description
protected List<Pair<T>>	BasicQuantisedKeypointMatcher.matches

Methods in org.openimaj.feature.local.matcher.quantised that return types with arguments of type Pair

Modifier and Type	Method and Description
List<Pair<T>>	BasicQuantisedKeypointMatcher.getMatches()

Uses of Pair in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count

Subclasses of Pair in org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count

Modifier and Type	Class and Description
class	TokenPairCount A pair of strings with 2 distinct counts: number of times the pair appears together in a document
class	TokenPairUnaryCount A Pair count with a unary count for each item of the pair.

Uses of Pair in org.openimaj.image.feature.local.interest.experiment

Classes in org.openimaj.image.feature.local.interest.experiment with type parameters of type Pair

Modifier and Type	Class and Description
static class	IPDRepeatability.ScoredPair<B extends Comparable<B>,T extends Pair<B>> A pair of matching features with a score

Methods in org.openimaj.image.feature.local.interest.experiment that return types with arguments of type Pair

Modifier and Type	Method and Description
List<IPDRepeatability.ScoredPair<Integer,Pair<Integer>>>	IPDRepeatability.calculateOverlappingEllipses() Find pairs of interest points whose ellipses overlap sufficiently and calculate how much they overlap.
static List<IPDRepeatability.ScoredPair<Integer,Pair<Integer>>>	IPDRepeatability.calculateOverlappingEllipses(List<Ellipse> firstImagePoints, List<Ellipse> secondImagePoints, Jama.Matrix transform, double maximumDistanceMultiple)

Uses of Pair in org.openimaj.image.pixel.statistics

Methods in org.openimaj.image.pixel.statistics that return Pair

Modifier and Type	Method and Description
Pair<float[]>	HistogramModel.colourRange(int index) For a given index, map to the range of colours which could map to it

Uses of Pair in org.openimaj.image.processing.face.alignment

Methods in org.openimaj.image.processing.face.alignment that return types with arguments of type Pair

Modifier and Type	Method and Description
protected List<Pair<Shape>>	MeshWarpAligner.createMesh(FacialKeypoint[] det)

Uses of Pair in org.openimaj.image.processing.transform

Methods in org.openimaj.image.processing.transform that return types with arguments of type Pair

Modifier and Type	Method and Description
protected List<Pair<Point2d>>	PiecewiseMeshWarp.polyMatchToPointsMatch(Polygon pa, Polygon pb)

Method parameters in org.openimaj.image.processing.transform with type arguments of type Pair

Modifier and Type	Method and Description
protected Jama.Matrix	PiecewiseMeshWarp.getTransform3(List<Pair<Point2d>> pts)
protected Jama.Matrix	PiecewiseMeshWarp.getTransform4(List<Pair<Point2d>> pts)

Constructor parameters in org.openimaj.image.processing.transform with type arguments of type Pair

Constructor and Description
PiecewiseMeshWarp(List<Pair<Shape>> matchingRegions) Construct the warp with a list of matching shapes (which must be either quads or triangles).

Uses of Pair in org.openimaj.math.geometry.transforms

Methods in org.openimaj.math.geometry.transforms that return Pair

Modifier and Type	Method and Description
static Pair<Jama.Matrix>	TransformUtilities.getNormalisations(List<? extends IndependentPair<? extends Point2d,? extends Point2d>> data) Generates the data for normalisation of the points such that each matched point is centered about the origin and also scaled be be within Math.sqrt(2) of the origin.

Methods in org.openimaj.math.geometry.transforms with parameters of type Pair

Modifier and Type	Method and Description
void	FundamentalModel.denormaliseFundamental(Pair<Jama.Matrix> norms) De-normalise a fundamental estimate.
void	HomographyModel.denormaliseHomography(Pair<Jama.Matrix> normalisations) De-normalise a homography estimate.
static IndependentPair<Point2d,Point2d>	TransformUtilities.normalise(IndependentPair<Point2d,Point2d> data, Pair<Jama.Matrix> normalisations) Normalise the data, returning a normalised copy.
static List<? extends IndependentPair<Point2d,Point2d>>	TransformUtilities.normalise(List<? extends IndependentPair<Point2d,Point2d>> data, Pair<Jama.Matrix> normalisations) Normalise the data, returning a normalised copy.

Uses of Pair in org.openimaj.ml.linear.data

Methods in org.openimaj.ml.linear.data that return Pair

Modifier and Type	Method and Description
Pair<gov.sandia.cognition.math.matrix.Matrix>	MatlabFileDataGenerator.generate()
Pair<gov.sandia.cognition.math.matrix.Matrix>	BillMatlabFileDataGenerator.generate()
Pair<T>	MatrixDataGenerator.generate()
Pair<gov.sandia.cognition.math.matrix.Matrix>	BiconvexDataGenerator.generate()

Methods in org.openimaj.ml.linear.data that return types with arguments of type Pair

Modifier and Type	Method and Description
List<Pair<gov.sandia.cognition.math.matrix.Matrix>>	BillMatlabFileDataGenerator.generateAll()

Uses of Pair in org.openimaj.ml.linear.evaluation

Method parameters in org.openimaj.ml.linear.evaluation with type arguments of type Pair

Modifier and Type	Method and Description
double	SumLossEvaluator.evaluate(List<Pair<gov.sandia.cognition.math.matrix.Matrix>> data)
double	MeanSumLossEvaluator.evaluate(List<Pair<gov.sandia.cognition.math.matrix.Matrix>> data)
double	RootMeanSumLossEvaluator.evaluate(List<Pair<gov.sandia.cognition.math.matrix.Matrix>> data)
abstract double	BilinearEvaluator.evaluate(List<Pair<gov.sandia.cognition.math.matrix.Matrix>> testpairs)
double	SumLossEvaluator.sumLoss(List<Pair<gov.sandia.cognition.math.matrix.Matrix>> pairs, gov.sandia.cognition.math.matrix.Matrix u, gov.sandia.cognition.math.matrix.Matrix w, gov.sandia.cognition.math.matrix.Matrix bias, BilinearLearnerParameters params)
double	MeanSumLossEvaluator.sumLoss(List<Pair<gov.sandia.cognition.math.matrix.Matrix>> pairs, gov.sandia.cognition.math.matrix.Matrix u, gov.sandia.cognition.math.matrix.Matrix w, gov.sandia.cognition.math.matrix.Matrix bias, BilinearLearnerParameters params)
double	RootMeanSumLossEvaluator.sumLoss(List<Pair<gov.sandia.cognition.math.matrix.Matrix>> pairs, gov.sandia.cognition.math.matrix.Matrix u, gov.sandia.cognition.math.matrix.Matrix w, gov.sandia.cognition.math.matrix.Matrix bias, BilinearLearnerParameters params)

Uses of Pair in org.openimaj.ml.linear.learner

Methods in org.openimaj.ml.linear.learner that return Pair

Modifier and Type	Method and Description
Pair<gov.sandia.cognition.math.matrix.Matrix>	IncrementalBilinearSparseOnlineLearner.asMatrixPair(IndependentPair<Map<String,Map<String,Double>>,Map<String,Double>> in)
Pair<gov.sandia.cognition.math.matrix.Matrix>	IncrementalBilinearSparseOnlineLearner.asMatrixPair(IndependentPair<Map<String,Map<String,Double>>,Map<String,Double>> xy, int nfeatures, int nusers, int ntasks) 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.
Pair<gov.sandia.cognition.math.matrix.Matrix>	IncrementalBilinearSparseOnlineLearner.asMatrixPair(Map<String,Map<String,Double>> x, Map<String,Double> y)