Index (OpenIMAJ master project 1.1 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
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(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
AbstractAnnotator<OBJECT,ANNOTATION,EXTRACTOR extends FeatureExtractor<?,OBJECT>> - Class in org.openimaj.ml.annotation: Abstract base class for objects capable of annotating things.
AbstractAnnotator() - Constructor for class org.openimaj.ml.annotation.AbstractAnnotator
AbstractAnnotator(EXTRACTOR) - Constructor for class org.openimaj.ml.annotation.AbstractAnnotator: Construct with the given feature extractor.
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
AbstractDataSource<DATATYPE> - Class in org.openimaj.data: Abstract base class for DataSource implementations.
AbstractDataSource() - Constructor for class org.openimaj.data.AbstractDataSource
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
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
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(InterestPointDetector<T>) - Constructor for class org.openimaj.image.feature.local.engine.ipd.AbstractIPDSIFTEngine: Initiate the engine with a given detector.
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.
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.
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
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.
AbstractSentenceAnnotator - Class in org.openimaj.text.nlp.textpipe.annotators
AbstractSentenceAnnotator() - Constructor for class org.openimaj.text.nlp.textpipe.annotators.AbstractSentenceAnnotator
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: An interest point detector which uses derivatives in some way
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
AbstractStructureTensorIPD.Maxima(int, int, float) - Constructor for class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD.Maxima
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
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
AbstractWebpageImageCollection.Generic() - Constructor for class org.openimaj.tools.imagecollection.collection.webpage.AbstractWebpageImageCollection.Generic
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(LocalFeature<?, ByteFV>) - Method in class org.openimaj.feature.local.filter.ByteEntropyFilter
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
accept(T) - Method in interface org.openimaj.util.filter.Filter: Tests whether a specific object should be accepted or rejected.
accept(T) - Method in class org.openimaj.util.filter.NegationFilter
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.
account_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl: Refers to the foaf:Agent or foaf:Person who owns this sioc:UserAccount.
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.
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.
ActiveShapeModel.IterationResult(Matrix, PointList, double, double[]) - Constructor for class org.openimaj.image.model.asm.ActiveShapeModel.IterationResult
actual - Variable in class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
AdaBoost - Class in org.openimaj.image.objectdetection.haar.training
AdaBoost() - Constructor for class org.openimaj.image.objectdetection.haar.training.AdaBoost
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
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.experiment.dataset.cache.GroupedListCache: Add an object with many keys to the cache
add(KEY, OBJECT) - Method in interface org.openimaj.experiment.dataset.cache.GroupedListCache: Add an object with a key to the cache
add(KEY, Collection<OBJECT>) - Method in interface org.openimaj.experiment.dataset.cache.GroupedListCache: Add an collection of objects with the same key to the cache
add(Collection<KEY>, OBJECT) - Method in class org.openimaj.experiment.dataset.cache.InMemoryGroupedListCache
add(KEY, OBJECT) - Method in class org.openimaj.experiment.dataset.cache.InMemoryGroupedListCache
add(KEY, Collection<OBJECT>) - Method in class org.openimaj.experiment.dataset.cache.InMemoryGroupedListCache
add(T) - Method in class org.openimaj.experiment.dataset.ListBackedDataset
add(int, T) - Method in class org.openimaj.experiment.dataset.ListBackedDataset
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(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(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.experiment.dataset.ListBackedDataset
addAll(int, Collection<? extends T>) - Method in class org.openimaj.experiment.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(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.
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
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.shape.PointListConnections: Add a connection between points with the given indices.
addConnection(PointList, Point2d, Point2d) - Method in class org.openimaj.math.geometry.shape.PointListConnections: Add a connection between two points in the given PointList.
addConnection(PointList, Line2d) - Method in class org.openimaj.math.geometry.shape.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.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.
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(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.
addListener(ImageCollectionProcessorJob.ProcessorJobListener) - Method in class org.openimaj.tools.imagecollection.tool.ImageCollectionProcessorJob
addListener(AudioSpectrogram.SpectragramCompleteListener) - 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
addOverlay(Visualisation<?>) - Method in class org.openimaj.vis.Visualisation: Add an overlay to this visualisation
addPixel(int, int) - Method in class org.openimaj.image.pixel.ConnectedComponent: Add a pixel into this connected component.
addPixel(Pixel) - Method in class org.openimaj.image.pixel.ConnectedComponent: Add a pixel into this connected component.
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.
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.
addTimelineObject(TimelineObject<?>) - Method in class org.openimaj.vis.timeline.Timeline.TimelineTrack: Adds a timeline to the 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
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
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.
addWaitingFor(Object) - Method in class org.openimaj.picslurper.LocalTweetSpout
administrator_of - Variable in class orgrdfs.sioc.ns.UserAccountImpl: A Site that the UserAccount is an administrator of.
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 no mask.
AffineAligner(FImage) - Constructor for class org.openimaj.image.processing.face.alignment.AffineAligner: Construct with a mask (in the canonical frame) to apply after aligning
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
AffineInterestPointKeypoint(OrientedFeatureVector, EllipticInterestPointData) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.AffineInterestPointKeypoint
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<Point2d, 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.
AffineSimulationKeypoint.AffineSimulationKeypointLocation() - Constructor for class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation: Construct with zero tilt and rotation.
AffineSimulationKeypoint.AffineSimulationKeypointLocation(float, float, float, float, float, float, int) - Constructor for class org.openimaj.image.feature.local.affine.AffineSimulationKeypoint.AffineSimulationKeypointLocation: Construct with the given parameters
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
AffineTransformModel - Class in org.openimaj.math.geometry.transforms: Concrete implementation of a model of an Affine transform.
AffineTransformModel(float) - Constructor for class org.openimaj.math.geometry.transforms.AffineTransformModel: Create an AffineTransformModel with a given tolerance for validation
AffineTransformModel3d - Class in org.openimaj.math.geometry.transforms: Concrete implementation of a model of an Affine transform.
AffineTransformModel3d(double) - Constructor for class org.openimaj.math.geometry.transforms.AffineTransformModel3d: Create an AffineTransformModel with a given tolerance for validation
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 ArrayFeatureVector<DATATYPE>>>) - Method in class org.openimaj.image.feature.local.aggregate.SoftBagOfVisualWords
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.
AggregatedCMResult.AggregateStatistics() - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.AggregatedCMResult.AggregateStatistics
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.Combine() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Combine
AKMeans.Map - Class in org.openimaj.hadoop.tools.fastkmeans: the map for approximate kmeans.
AKMeans.Map() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Map
AKMeans.Reduce - Class in org.openimaj.hadoop.tools.fastkmeans: The AKmeans reducer.
AKMeans.Reduce() - Constructor for class org.openimaj.hadoop.tools.fastkmeans.AKMeans.Reduce
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 - 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
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.RectanglePyramidSampler
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
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
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(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
analyse(FImage, FImage) - Method in class org.openimaj.image.feature.dense.gradient.HistogramOfGradients
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.BinnedImageHistogramAnalyser: Computes the bin-map for this 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.HistogramAnalyser: Computes the Histogram 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.InterpolatingBinnedImageHistogramAnalyser: Computes the bin-map for this image.
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.connectedcomponent.ConnectedComponentLabeler
analyseImage(FImage) - Method in class org.openimaj.image.connectedcomponent.GreyscaleConnectedComponentLabeler
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(FImage) - Method in class org.openimaj.image.feature.dense.gradient.HistogramOfGradients
analyseImage(FImage, FImage) - Method in class org.openimaj.image.feature.dense.gradient.HistogramOfGradients
analyseImage(FImage) - Method in class org.openimaj.image.feature.dense.gradient.PyramidHistogramOfGradients
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.AvgBrightness
analyseImage(MBFImage) - Method in class org.openimaj.image.feature.global.ColourContrast
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.convolution.CLSobel
analyseImage(FImage) - Method in class org.openimaj.image.processing.convolution.FImageGradients
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
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.
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
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
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.
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.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(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.ml.annotation.AnnotatedObject: The annotations
annotations - Variable in class org.openimaj.ml.annotation.basic.IndependentPriorRandomAnnotator
annotations - Variable in class org.openimaj.ml.annotation.basic.UniformRandomAnnotator
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,EXTRACTOR extends FeatureExtractor<?,OBJECT>> - Interface in org.openimaj.ml.annotation: Base class for objects capable of annotating things.
AnnotatorFaceRecogniser<FACE extends DetectedFace,EXTRACTOR extends FeatureExtractor<?,FACE>,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, EXTRACTOR>) - Constructor for class org.openimaj.image.processing.face.recognition.AnnotatorFaceRecogniser: Construct with the given underlying annotator.
ANTI_ALIASED - Static variable in class org.openimaj.image.renderer.RenderHints: Anti-aliased drawing
anyNaNorInf(Matrix) - Static method in class org.openimaj.math.matrix.MatrixUtils: Are any values NaN or Inf?
App - Class in org.openimaj.docs.tutorial.gettingstarted.maven: OpenIMAJ Hello world!
App() - Constructor for class org.openimaj.docs.tutorial.gettingstarted.maven.App
App - Class in org.openimaj.docs.tutorial.images.clustseg: OpenIMAJ Hello world!
App() - Constructor for class org.openimaj.docs.tutorial.images.clustseg.App
App - Class in org.openimaj.docs.tutorial.images.firstimage: OpenIMAJ Hello world!
App() - Constructor for class org.openimaj.docs.tutorial.images.firstimage.App
App - Class in org.openimaj.docs.tutorial.images.imagehist: OpenIMAJ Hello world!
App() - Constructor for class org.openimaj.docs.tutorial.images.imagehist.App
App - Class in org.openimaj.docs.tutorial.images.siftmatch: OpenIMAJ Hello world!
App() - Constructor for class org.openimaj.docs.tutorial.images.siftmatch.App
App - Class in org.openimaj.docs.tutorial.video.faces: OpenIMAJ Hello world!
App() - Constructor for class org.openimaj.docs.tutorial.video.faces.App
App - Class in org.openimaj.docs.tutorial.video.procvid: OpenIMAJ Hello world!
App() - Constructor for class org.openimaj.docs.tutorial.video.procvid.App
append(SampleChunk) - Method in class org.openimaj.audio.SampleChunk: Appends the given samples to the end of this sample chunk.
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.
application - Variable in class org.openimaj.twitter.USMFStatus: Application used to create this posting
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(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(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
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
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
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
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.
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
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.
ArrayUtils() - Constructor for class org.openimaj.util.array.ArrayUtils
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 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.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.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.FloatCentroidsResult
asciiHeader() - Method in class org.openimaj.ml.clustering.IntCentroidsResult
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.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.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
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
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
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.
asList(Dataset<INSTANCE>) - Static method in class org.openimaj.experiment.dataset.util.DatasetAdaptors: Create a List view of the given dataset.
asList(List<INSTANCE>) - Static method in class org.openimaj.experiment.dataset.util.DatasetAdaptors: Create a List view of the given dataset.
asList(ListDataset<INSTANCE>) - Static method in class org.openimaj.experiment.dataset.util.DatasetAdaptors: Create a List view of the given ListDataset.
asList() - Method in class org.openimaj.util.set.DisjointSetForest
asMap(GroupedDataset<KEY, DATASET, INSTANCE>) - Static method in class org.openimaj.experiment.dataset.util.DatasetAdaptors: Create a Map view of the given GroupedDataset.
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
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.
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 interface org.openimaj.math.geometry.shape.Shape: Convert the shape to a polygon representation
asPolygon() - Method in class org.openimaj.math.geometry.shape.Triangle
asReference() - Method in class org.openimaj.citation.annotation.mock.MockReference
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(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(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.
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.
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
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.
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.
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.
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(AudioStream) - Constructor for class org.openimaj.vis.audio.AudioSpectrogram: Create a spectragram for the given data
AudioSpectrogram() - Constructor for class org.openimaj.vis.audio.AudioSpectrogram: Create a spectragram that can be added to as and when it's necessary.
AudioSpectrogram.SpectragramCompleteListener - Interface in org.openimaj.vis.audio: A listener for when the spectragram 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
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
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(Visualisation<?>) - Constructor for class org.openimaj.vis.audio.AudioWaveform: Create an audio waveform that overlays the given visualisation.
AudioWaveformPlotter - Class in org.openimaj.vis.audio: Utilises an audio processor to plot the audio waveform to an image.
AudioWaveformPlotter(AudioStream) - Constructor for class org.openimaj.vis.audio.AudioWaveformPlotter: Default constructor
AudioWaveformPlotter.AudioOverviewGenerator - Class in org.openimaj.vis.audio: Generates an audio overview.
AudioWaveformPlotter.AudioOverviewGenerator(int, int) - Constructor for class org.openimaj.vis.audio.AudioWaveformPlotter.AudioOverviewGenerator: Constructor
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.
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.
AverageBrightnessExtractor - Class in org.openimaj.tools.globalfeature.type: Average brightness
AverageBrightnessExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.AverageBrightnessExtractor
AverageNxM - Class in org.openimaj.image.processing.convolution: An NxM averaging convolution operator.
AverageNxM(int, int) - Constructor for class org.openimaj.image.processing.convolution.AverageNxM: Construct the averaging operator with a kernel of the given dimensions.
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
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.
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
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
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.
bands - Variable in class org.openimaj.image.MultiBandImage: The images for each band in a list
BarVisualisation - Class in org.openimaj.vis.general: The BarVisualisation can be used to draw to an image a bar graph of any data set.
BarVisualisation(int, int) - Constructor for class org.openimaj.vis.general.BarVisualisation: Create a bar visualisation of the given size
BarVisualisation(MBFImage) - Constructor for class org.openimaj.vis.general.BarVisualisation: Create a bar visualisation that will draw to the given image.
BarVisualisation(Visualisation<?>) - Constructor for class org.openimaj.vis.general.BarVisualisation: Overlay a bar visualisation on the given vis
BarVisualisation(int, int, double[]) - Constructor for class org.openimaj.vis.general.BarVisualisation: Creates the given visualisation with the given data
BaseTwitterRichBolt - Class in org.openimaj.storm.tools.twitter.bolts
BaseTwitterRichBolt() - Constructor for class org.openimaj.storm.tools.twitter.bolts.BaseTwitterRichBolt
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 0.5.
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.
BasicFilter - Class in org.openimaj.image.processing.resize: Basic filtering for the resampling function
BasicFilter() - Constructor for class org.openimaj.image.processing.resize.BasicFilter
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.
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
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
basis - Variable in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis
BATCH_SIZE - Static variable in class backtype.storm.spout.KestrelThriftSpout
BatchAnnotator<OBJECT,ANNOTATION,EXTRACTOR extends FeatureExtractor<?,OBJECT>> - Class in org.openimaj.ml.annotation: An Annotator that is trained in "batch" mode; all training examples are presented at once.
BatchAnnotator(EXTRACTOR) - Constructor for class org.openimaj.ml.annotation.BatchAnnotator: Construct with the given feature extractor.
BatchOperation<T> - Interface in org.openimaj.util.parallel: An interface for defining an operation that can be applied to a list of objects by a thread.
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.
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
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
BellFilter - Class in org.openimaj.image.processing.resize: Bell filter for the resample function.
BellFilter() - Constructor for class org.openimaj.image.processing.resize.BellFilter
BELOW - Static variable in class org.openimaj.math.geometry.shape.util.PolygonUtils: BELOW
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
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
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
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).
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.
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.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.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.FloatCentroidsResult
binaryHeader() - Method in class org.openimaj.ml.clustering.IntCentroidsResult
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.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.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.
BinnedImageHistogramAnalyser - Class in org.openimaj.image.analysis.algorithm: This class analyses an image and produces an 2D array of integers with a one-to-one correspondence with the image pixels.
BinnedImageHistogramAnalyser(int) - Constructor for class org.openimaj.image.analysis.algorithm.BinnedImageHistogramAnalyser: Construct with the given number of bins.
BinnedImageHistogramAnalyser(int, float, float) - Constructor for class org.openimaj.image.analysis.algorithm.BinnedImageHistogramAnalyser: Construct with the given number of bins, and range.
binsPerBand - Variable in class org.openimaj.image.feature.global.ModifiedLuoSimplicity
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
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.
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
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
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.ConnectedComponent: 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.
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
BoxFilter - Class in org.openimaj.image.processing.resize: Box filter for the resampling function
BoxFilter() - Constructor for class org.openimaj.image.processing.resize.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
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: B-Spline filter for the resample function.
BSplineFilter() - Constructor for class org.openimaj.image.processing.resize.BSplineFilter
bstate - Variable in class org.openimaj.math.geometry.shape.util.polygon.EdgeNode: Edge bundle state
buffer_for_data() - Method in class net.lag.kestrel.thrift.Item
buffer_for_head_item() - Method in class net.lag.kestrel.thrift.QueueInfo
bufferKestrelGet(int) - Method in class backtype.storm.spout.KestrelThriftSpout
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.
buildFromCorpus(List<String>) - Method in class org.openimaj.text.nlp.sentiment.lexicon.HMLexiconBuilder
buildNormalisedDataMatrix(Matrix) - Method in class org.openimaj.math.matrix.algorithm.pca.PrincipalComponentAnalysis: Zero-centre the data matrix and return a copy
buildTopology() - Method in interface org.openimaj.storm.topology.orchestrator.StormTopologyOrchestrator
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
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
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.
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
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
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
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
ByteKDTreeEnsemble.ByteKDTreeNode() - Constructor for class org.openimaj.knn.approximate.ByteKDTreeEnsemble.ByteKDTreeNode: Construct a new node
ByteKDTreeEnsemble.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.
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.
ByteKMeansInit.RANDOM() - Constructor for class org.openimaj.ml.clustering.kmeans.ByteKMeansInit.RANDOM
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
ByteKMeansInitialisers.Options() - Constructor for class org.openimaj.tools.clusterquantiser.fastkmeans.ByteKMeansInitialisers.Options
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[][], ByteFVComparison) - 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.
ByteNearestNeighboursExact.Factory() - Constructor for class org.openimaj.knn.ByteNearestNeighboursExact.Factory: Construct the factory using Euclidean distance for the produced ByteNearestNeighbours instances.
ByteNearestNeighboursExact.Factory(ByteFVComparison) - Constructor for class org.openimaj.knn.ByteNearestNeighboursExact.Factory: Construct the factory with the given distance function for the produced ByteNearestNeighbours instances.
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.
ByteNearestNeighboursKDTree.Factory() - Constructor for class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree.Factory: Construct the factory the default number of trees and checks.
ByteNearestNeighboursKDTree.Factory(int, int) - Constructor for class org.openimaj.knn.approximate.ByteNearestNeighboursKDTree.Factory: Construct the factory the given number of trees and checks.
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(ByteNearestNeighbours[]) - 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
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
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.MultivariateGaussian
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.
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
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.ConnectedComponent: 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: Calculate the area of the polygon.
calculateArea() - Method in class org.openimaj.math.geometry.shape.Rectangle
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
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.ConnectedComponent: 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.ConnectedComponent: Calculate the height and width of a box surrounding the component by averaging the distances of pixels above and below the centroid.
calculateBinaryMask(Image<?, ?>) - Method in class org.openimaj.image.pixel.ConnectedComponent: 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.ConnectedComponent: Calculate the centroid of the connected component.
calculateCentroid() - Method in class org.openimaj.math.geometry.shape.Polygon: Calculate the centroid of the polygon.
calculateCentroidPixel() - Method in class org.openimaj.image.pixel.ConnectedComponent: 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_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.
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.ConnectedComponent: 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(List<? extends IndependentPair<T, FImage>>) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
calculateError(List<? extends IndependentPair<T, FImage>>) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
calculateError(List<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel
calculateError(List<? extends IndependentPair<Point3d, Point3d>>) - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel3d
calculateError(List<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.FundamentalModel
calculateError(List<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.HomographyModel
calculateError(List<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.OneToOnePointModel
calculateError(List<? extends IndependentPair<Point2d, Point2d>>) - Method in class org.openimaj.math.geometry.transforms.RadialDistortionModel
calculateError(List<? extends IndependentPair<double[], T>>) - Method in class org.openimaj.math.model.GaussianVectorNaiveBayesModel
calculateError(List<? extends IndependentPair<Integer, Integer>>) - Method in class org.openimaj.math.model.LeastSquaresLinearModel
calculateError(List<? extends IndependentPair<I, D>>) - Method in interface org.openimaj.math.model.Model: Estimate the relative error between a data pair and the model parameters.
calculateError(List<? extends IndependentPair<Integer, Integer>>) - Method in class org.openimaj.math.model.SampleLinearModel
calculateError(List<? extends IndependentPair<Double, T>>) - Method in class org.openimaj.math.model.UnivariateGaussianNaiveBayesModel
calculateError(List<? extends IndependentPair<double[], double[]>>) - Method in class org.openimaj.ml.regression.LinearRegression
calculateFirstMoment() - Method in class org.openimaj.math.geometry.shape.Polygon: Treating the polygon as a continuous peicewise 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.
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
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(SampleChunk) - Method in class org.openimaj.audio.analysis.MFCCOld: Calculate the MFCCs for a given sample chunk.
calculateMFCC(double[], AudioFormat) - Method in class org.openimaj.audio.analysis.MFCCOld: Calculate the MFCCs for a normalised (0-1) set of multiplexed samples.
calculateMFCC(SampleChunk) - Method in class org.openimaj.audio.features.MFCC
calculateMFCC(double[][], AudioFormat) - Method in class org.openimaj.audio.features.MFCC
calculateMFCC(double[], AudioFormat) - Method in class org.openimaj.audio.features.MFCC
calculateMoment(int, int, double, double) - Method in class org.openimaj.image.pixel.ConnectedComponent: Calculate the pq moment, M_pq around the given centroid.
calculateMoment(int, int) - Method in class org.openimaj.image.pixel.ConnectedComponent: Calculate the pq moment, M_pq for this region.
calculateMomentNormalised(int, int) - Method in class org.openimaj.image.pixel.ConnectedComponent: Calculate the normalized, unscaled, central moments for M_pq.
calculateNormal(Point2d, PointList) - Method in class org.openimaj.math.geometry.shape.PointListConnections: Calculate the normal vector at a given vertex.
calculateNormal(int, PointList) - Method in class org.openimaj.math.geometry.shape.PointListConnections: Calculate the normal vector at a given vertex id.
calculateNormalLine(Point2d, PointList, float) - Method in class org.openimaj.math.geometry.shape.PointListConnections: Calculate a normal line for a given vertex.
calculateNormalLine(int, PointList, float) - Method in class org.openimaj.math.geometry.shape.PointListConnections: Calculate a normal line for a given vertex.
calculateOrientatedBoundingBox() - Method in class org.openimaj.image.pixel.ConnectedComponent: Calculates the polygon that defines the bounding box that best fits the connected component, at whatever angle that may be.
calculateOrientatedBoundingBoxHeightWidth() - Method in class org.openimaj.image.pixel.ConnectedComponent: Calculates the width and height of the bounding box that best fits the component, at whatever angle that may be.
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.validator.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.validator.IPDRepeatability: This is how the original matlab found the difference between two ellipses.
calculateOverlappingEllipses() - Method in class org.openimaj.image.feature.validator.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.validator.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.
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.
calculateRegularBoundingBox() - Method in class org.openimaj.image.pixel.ConnectedComponent: 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.GeometricObject: 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.shape.Circle
calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.shape.Ellipse
calculateRegularBoundingBox() - Method in class org.openimaj.math.geometry.shape.PointList: Compute the regular (oriented to the axes) bounding box of the PointList.
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.Triangle
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 peicewise function, calculate exactly the second moment.
calculateSecondMomentCentralised() - Method in class org.openimaj.math.geometry.shape.Polygon: Treating the polygon as a continuous peicewise function, calculate exactly the centralised second moment.
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
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) - Method in class org.openimaj.image.processing.threshold.OtsuThreshold: Estimate the threshold for the given image.
calculateThreshold(int[][], int) - Static method in class org.openimaj.ml.clustering.rac.IntRAC
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
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
call(Object) - Method in enum org.openimaj.hardware.gps.NMEASentenceType
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*
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.picslurper.consumer.FacebookConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.ImgurConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.InstagramConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.OwlyImageConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.SimpleHTMLScrapingConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.TmblrPhotoConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.TwipleConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.TwitPicConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.TwitterPhotoConsumer
canConsume(URL) - Method in class org.openimaj.picslurper.consumer.YfrogConsumer
canConsume(URL) - Method in interface org.openimaj.picslurper.SiteSpecificConsumer
candidateFinder - Variable in class org.openimaj.text.nlp.namedentity.YagoEntityExactMatcherFactory.YagoEntityExactMatcher: made public so that you have access to the candidateFinder to setNGrams.
CannyEdgeDetector - Class in org.openimaj.image.processing.edges: Canny edge detector.
CannyEdgeDetector() - Constructor for class org.openimaj.image.processing.edges.CannyEdgeDetector: Default constructor.
CannyEdgeDetector(float) - Constructor for class org.openimaj.image.processing.edges.CannyEdgeDetector: Construct with the give sigma.
CannyEdgeDetector(float, float, float) - Constructor for class org.openimaj.image.processing.edges.CannyEdgeDetector: Construct with all parameters set manually.
CannyEdgeDetector2 - Class in org.openimaj.image.processing.edges: Deprecated.
CannyEdgeDetector2() - Constructor for class org.openimaj.image.processing.edges.CannyEdgeDetector2: Deprecated.

Default constructor
cascade - Variable in class org.openimaj.image.objectdetection.haar.Detector
CascadeLearner - Class in org.openimaj.image.objectdetection.haar.training
CascadeLearner() - Constructor for class org.openimaj.image.objectdetection.haar.training.CascadeLearner
category - Variable in class org.openimaj.twitter.USMFStatus: Category of content
CCDetectedFace - Class in org.openimaj.image.processing.face.detection: A DetectedFace that is represented/detected by a ConnectedComponent.
CCDetectedFace() - Constructor for class org.openimaj.image.processing.face.detection.CCDetectedFace: Default constructor.
CCDetectedFace(Rectangle, FImage, ConnectedComponent, float) - Constructor for class org.openimaj.image.processing.face.detection.CCDetectedFace: Construct with a bounds rectangle (the bounding box of the face in the detection image),an image patch that describes the contents of the bounds rectangle from the original image, and a ConnectedComponent describing the shape of the detected face.
centeredRotationMatrix(double, int, int) - Static method in class org.openimaj.math.geometry.transforms.TransformUtilities: Construct a rotation about the centre of the rectangle defined by width and height (i.e.
centre - Variable in class org.openimaj.image.feature.local.interest.EllipticKeyPoint
centre - Variable in class org.openimaj.math.geometry.shape.Circle
centreFrequency - Variable in class org.openimaj.audio.filters.TriangularFilter: The centre (peak) frequency of the filter
CentroidRenderer<T> - Class in org.openimaj.image.processor.connectedcomponent.render: Renders a connected component's centroid into the given image.
CentroidRenderer(Image<T, ?>, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.CentroidRenderer: Default constructor that takes the image to draw into and the colour to draw the centroid.
CentroidRenderer(int, int, T) - Constructor for class org.openimaj.image.processor.connectedcomponent.render.CentroidRenderer: Constructor that creates the image to draw into and takes the colour to draw the centroid.
centroids - Variable in class org.openimaj.ml.clustering.ByteCentroidsResult: The centroids of the clusters
centroids - Variable in class org.openimaj.ml.clustering.DoubleCentroidsResult: The centroids of the clusters
centroids - Variable in class org.openimaj.ml.clustering.FloatCentroidsResult: The centroids of the clusters
centroids - Variable in class org.openimaj.ml.clustering.IntCentroidsResult: The centroids of the clusters
centroids - Variable in class org.openimaj.ml.clustering.LongCentroidsResult: The centroids of the clusters
centroids - Variable in class org.openimaj.ml.clustering.ShortCentroidsResult: The centroids of the clusters
CENTROIDS_EXACT - Static variable in class org.openimaj.hadoop.tools.fastkmeans.AKMeans: Config option where for exact mode or not
CENTROIDS_K - Static variable in class org.openimaj.hadoop.tools.fastkmeans.AKMeans: Config option where for number of centroids K
CENTROIDS_PATH - Static variable in class org.openimaj.hadoop.tools.fastkmeans.AKMeans: Config option where for centroids path
CentroidsProvider<DATATYPE> - Interface in org.openimaj.ml.clustering: Interface for clusterers capable of providing the centroids of the clusters.
changeTCPyramid(int) - Method in class org.openimaj.video.tracking.klt.TrackingContext: KLTChangeTCPyramid
changeVideo(Video<T>) - Method in class org.openimaj.video.VideoDisplay: Change the video that is being displayed by this video display.
chapter() - Method in class org.openimaj.citation.annotation.mock.MockReference: The chapter number
CharacteristicOctaveInterestPointFinder<T extends InterestPointData> - Class in org.openimaj.image.feature.local.detector.ipd.finder: A characteristic octave interest point finder throws InterestPointData away if two instances are similar.
CharacteristicOctaveInterestPointFinder(InterestPointDetector<T>, IPDSelectionMode) - Constructor for class org.openimaj.image.feature.local.detector.ipd.finder.CharacteristicOctaveInterestPointFinder: construct this finder with the detector and selection mode
charAt(int) - Method in class org.openimaj.utils.threads.InterruptibleCharSequence
CharikarDensestSubgraph<V,E> - Class in org.openimaj.math.graph.algorithm: Implementation of Charikar's greedy Densest-subgraph algorithm for unweighted, undirected graphs.
CharikarDensestSubgraph(UndirectedGraph<V, E>) - Constructor for class org.openimaj.math.graph.algorithm.CharikarDensestSubgraph: Compute the densest subgraph of a graph.
charPattern() - Method in class org.openimaj.text.nlp.patterns.PunctuationPatternProvider
charset - Variable in class org.openimaj.util.list.AbstractFileBackedList
check(int, FImage, Matrix) - Method in class com.jsaragih.MFCheck: Check the whether its actually a face
check - Variable in class org.openimaj.math.geometry.transforms.OneToOnePointModel
check(double) - Method in interface org.openimaj.math.util.distance.DistanceCheck: Test the distance
check(double) - Method in class org.openimaj.math.util.distance.ModelDistanceCheck
check(double) - Method in class org.openimaj.math.util.distance.ThresholdDistanceCheck
checkForMatch(T, List<T>) - Method in class org.openimaj.feature.local.matcher.BasicMatcher: This searches through the keypoints in klist for the two closest matches to key.
checkSameSize(Image<?, ?>...) - Static method in class org.openimaj.image.ImageUtilities: Checks whether the width and height of all the given images match.
checkSampleEquality - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
checkSampleEquality(String, HadoopFastKMeansOptions) - Static method in class org.openimaj.hadoop.tools.fastkmeans.SampleEqualityChecker
checkSampleEqualityThreshold - Variable in class org.openimaj.hadoop.tools.fastkmeans.HadoopFastKMeansOptions
checkSingularity() - Method in class org.openimaj.feature.local.matcher.VotingKeypointMatcher
checkSize(int, int, Image<?, ?>...) - Static method in class org.openimaj.image.ImageUtilities: Checks whether the width and height of all the given images match the given width and height.
checkSize(int, int, Iterable<? extends Image<?, ?>>) - Static method in class org.openimaj.image.ImageUtilities: Checks whether the width and height of all the given images match the given width and height.
checksum - Variable in class org.openimaj.hardware.gps.NMEAMessage
chfit - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The ratio of the area of the component to the area of its convex hull
children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeansResult.Node: Node children (if any)
children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeansResult.Node: Node children (if any)
children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult.Node: Node children (if any)
children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeansResult.Node: Node children (if any)
children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeansResult.Node: Node children (if any)
children - Variable in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeansResult.Node: Node children (if any)
children - Variable in class org.openimaj.util.tree.TreeNodeImpl: The list of child nodes.
CIEDE2000 - Class in org.openimaj.image.analysis.colour: Implementation of the CIE 2000 colour difference equation, and a ImageCombiner to calculate a colour disparity map between two images.
CIEDE2000() - Constructor for class org.openimaj.image.analysis.colour.CIEDE2000
CIELab_TO_CIEXYZ(MBFImage) - Static method in class org.openimaj.image.colour.Transforms: Convert CIELab to CIEXYZ.
CIELab_TO_RGB(MBFImage) - Static method in class org.openimaj.image.colour.Transforms: Convert CIE Lab to RGB.
CIELabNormalised_TO_RGB(MBFImage) - Static method in class org.openimaj.image.colour.Transforms: Convert normalised CIE Lab to RGB.
CIELUV_TO_CIEXYZ(MBFImage) - Static method in class org.openimaj.image.colour.Transforms: Convert CIELUV to CIEXYZ.
CIELUV_TO_RGB(MBFImage) - Static method in class org.openimaj.image.colour.Transforms: Convert CIE LUV to RGB.
CIEXYZ_TO_CIELab(MBFImage) - Static method in class org.openimaj.image.colour.Transforms: Convert CIEXYZ to CIELab.
CIEXYZ_TO_CIELab(MBFImage, boolean) - Static method in class org.openimaj.image.colour.Transforms: Convert CIEXYZ to CIELab.
CIEXYZ_TO_CIELUV(MBFImage) - Static method in class org.openimaj.image.colour.Transforms: Convert CIEXYZ to CIELUV (CIE 1976) See http://www.brucelindbloom.com/index.html?Eqn_XYZ_to_Lab.html
CIEXYZ_TO_CIELUV(MBFImage, boolean) - Static method in class org.openimaj.image.colour.Transforms: Convert CIEXYZ to CIELUV (CIE 1976) See http://www.brucelindbloom.com/index.html?Eqn_XYZ_to_Lab.html
CIEXYZ_TO_RGB(MBFImage) - Static method in class org.openimaj.image.colour.Transforms: CIE_XYZ color space transform to RGB.
CIEXYZ_TO_RGB(MBFImage, boolean) - Static method in class org.openimaj.image.colour.Transforms: CIE_XYZ color space transform to RGB.
Circle - Class in org.openimaj.math.geometry.shape: A circle shape
Circle(float, float, float) - Constructor for class org.openimaj.math.geometry.shape.Circle: Construct a circle with the given position and radius
Circle(Point2d, float) - Constructor for class org.openimaj.math.geometry.shape.Circle: Construct a circle with the given position and radius
Circle(Circle) - Constructor for class org.openimaj.math.geometry.shape.Circle: Construct a circle with the given circle
CircularInterestPointFeatureCollector - Class in org.openimaj.image.feature.local.detector.ipd.collector: Ignore the local shape of interest points, instead extracting a patch dependent on scale.
CircularInterestPointFeatureCollector(InterestPointGradientFeatureExtractor) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointFeatureCollector
CircularInterestPointKeypoint - Class in org.openimaj.image.feature.local.detector.ipd.collector
CircularInterestPointKeypoint(int) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointKeypoint
CircularInterestPointKeypoint(OrientedFeatureVector, InterestPointData) - Constructor for class org.openimaj.image.feature.local.detector.ipd.collector.CircularInterestPointKeypoint
circularSmooth(float[]) - Method in class org.openimaj.image.feature.local.detector.dog.extractor.OrientationHistogramExtractor: Smooth the values in a circular buffer with a (1/3)[1,1,1] kernel.
CitationAgent - Class in org.openimaj.citation: Java instrumentation agent for extracting references.
CitationAgent() - Constructor for class org.openimaj.citation.CitationAgent
CityLandscapeTree - Class in org.openimaj.classifier.citylandscape: Originally written by Ajay Mehta for his third year project.
CityLandscapeTree(String, String) - Constructor for class org.openimaj.classifier.citylandscape.CityLandscapeTree: Default constructor that takes the two categories to classifier between.
CityLandscapeTree(String, String, InputStream, int) - Constructor for class org.openimaj.classifier.citylandscape.CityLandscapeTree: Constructor that takes the two categories to classify between, an input stream that points to a training set file and the size of that training set.
CityLandscapeUtilities - Class in org.openimaj.classifier.citylandscape: Tool for building city/landscape classifiers
CityLandscapeUtilities() - Constructor for class org.openimaj.classifier.citylandscape.CityLandscapeUtilities
clamp - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration: Number of standard deviations from the mean face to allow in the model
clamp - Variable in class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker: Number of standard deviations from the mean face to allow in the model
ClassDef - Class in org.openimaj.rdf.owl2java: Represents the definition of an ontology class.
ClassDef() - Constructor for class org.openimaj.rdf.owl2java.ClassDef
classFile() - Method in enum org.openimaj.image.processing.face.detection.HaarCascadeDetector.BuiltInCascade
ClassFinder - Class in org.openimaj.util.reflection: Utility methods for finding classes.
ClassFinder() - Constructor for class org.openimaj.util.reflection.ClassFinder
ClassificationAnalyser<RESULT extends AnalysisResult,CLASS,OBJECT> - Interface in org.openimaj.experiment.evaluation.classification: A ClassificationAnalyser is used to analyse the raw results from a Classifier in the context of a ClassificationEvaluator and to produce an AnalysisResult describing the performance of the ClassificationEvaluator.
ClassificationEvaluator<RESULT extends AnalysisResult,CLASS,OBJECT> - Class in org.openimaj.experiment.evaluation.classification: Implementation of an Evaluator for the evaluation of classification experiments.
ClassificationEvaluator(Classifier<CLASS, OBJECT>, Collection<OBJECT>, Map<OBJECT, Set<CLASS>>, ClassificationAnalyser<RESULT, CLASS, OBJECT>) - Constructor for class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator: Construct a new ClassificationEvaluator with the given classifier, set of objects to classify, ground truth ("actual") data and an ClassificationAnalyser.
ClassificationEvaluator(Classifier<CLASS, OBJECT>, Map<OBJECT, Set<CLASS>>, ClassificationAnalyser<RESULT, CLASS, OBJECT>) - Constructor for class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator: Construct a new ClassificationEvaluator with the given classifier, ground truth ("actual") data and an ClassificationAnalyser.
ClassificationEvaluator(Classifier<CLASS, OBJECT>, GroupedDataset<CLASS, ListDataset<OBJECT>, OBJECT>, ClassificationAnalyser<RESULT, CLASS, OBJECT>) - Constructor for class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator: Construct a new ClassificationEvaluator with the given classifier, ground truth ("actual") data and an ClassificationAnalyser.
ClassificationEvaluator(Map<OBJECT, ClassificationResult<CLASS>>, Map<OBJECT, Set<CLASS>>, ClassificationAnalyser<RESULT, CLASS, OBJECT>) - Constructor for class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator: Construct a new ClassificationEvaluator with the given pre-classified results, the ground truth ("actual") data and an ClassificationAnalyser.
ClassificationResult<CLASS> - Interface in org.openimaj.experiment.evaluation.classification: The result of a Classifier.
classifier - Variable in class org.openimaj.experiment.evaluation.classification.ClassificationEvaluator
Classifier<CLASS,OBJECT> - Interface in org.openimaj.experiment.evaluation.classification: Interface describing a classifier.
Classifier - Interface in org.openimaj.image.objectdetection.haar: Interface for an individual Haar-like classifier.
classify(OBJECT) - Method in interface org.openimaj.experiment.evaluation.classification.Classifier: Classify an object.
classify(SummedSqTiltAreaTable, float, int, int) - Method in interface org.openimaj.image.objectdetection.haar.Classifier: Get the classification score for the window at (x, y) with the size defined by scale.
classify(SummedSqTiltAreaTable, float, int, int) - Method in class org.openimaj.image.objectdetection.haar.HaarFeatureClassifier
classify(SummedSqTiltAreaTable, int, int) - Method in class org.openimaj.image.objectdetection.haar.StageTreeClassifier: Apply the classifier to the given image at the given position.
Classify(float[], List<ObjectFloatPair<StumpClassifier>>) - Static method in class org.openimaj.image.objectdetection.haar.training.AdaBoost
Classify(float[], List<ObjectFloatPair<StumpClassifier>>, float) - Static method in class org.openimaj.image.objectdetection.haar.training.AdaBoost
classify(float[]) - Method in class org.openimaj.image.objectdetection.haar.training.StumpClassifier
classify(float) - Method in class org.openimaj.image.objectdetection.haar.training.StumpClassifier
classify(SummedSqTiltAreaTable, float, int, int) - Method in class org.openimaj.image.objectdetection.haar.ValueClassifier
classify(OBJECT) - Method in class org.openimaj.ml.annotation.AbstractAnnotator
classify(String) - Method in class org.openimaj.text.nlp.language.LanguageDetector: Classify the language using a naive-bayes model
classify(FImage) - Method in class org.openimaj.tools.ocr.KNNCharacterClassifier: Classify the given image with the nearest neighbour classifier.
classifyImage(FImage, int) - Method in class org.openimaj.classifier.citylandscape.CityLandscapeTree: Classifies the given image.
classifyImage(ArrayList<Double>, int, int) - Static method in class org.openimaj.classifier.citylandscape.CityLandscapeUtilities: Takes query vector to compare with integer k images from the training set
classifyImage(T) - Method in interface org.openimaj.image.model.ImageClassificationModel: Classify the given image and return the corresponding probability map
classifyImage(T) - Method in class org.openimaj.image.model.patch.PatchClassificationModel
classifyImage(T) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
classifyPatch(MBFImage) - Method in class org.openimaj.image.model.patch.HistogramPatchModel
classifyPatch(T) - Method in class org.openimaj.image.model.patch.PatchClassificationModel: Classify a patch, returning the probability of the central pixel belonging to the class.
classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.OrthotopePixelModel
classifyPixel(Q) - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
classifyPixel(Float[]) - Method in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
ClassLoaderTransform - Class in org.openimaj.aop.classloader: ClassLoaderTransform provides an alternative to using a java agent to perform byte-code manipulation by providing a classloader that will automatically transform classes as they are loaded.
ClassLoaderTransform() - Constructor for class org.openimaj.aop.classloader.ClassLoaderTransform
ClassTransformer - Interface in org.openimaj.aop: An interface for objects capable of performing modifications to a class before it's loaded.
CLConvolve2D> - Class in org.openimaj.image.processing.convolution: Simple 2D convolution.
CLConvolve2D(CLContext, float[][]) - Constructor for class org.openimaj.image.processing.convolution.CLConvolve2D: Construct the convolution operator with the given kernel and OpenCL context
clean(Element, String) - Method in class org.openimaj.web.readability.Readability: Clean a node of all elements of type "tag".
cleanConditionally(Element, String) - Method in class org.openimaj.web.readability.Readability: Clean an element of all tags of type "tag" if they look fishy.
cleanHeaders(Element) - Method in class org.openimaj.web.readability.Readability: Clean out spurious headers from an Element.
cleanStyles() - Method in class org.openimaj.web.readability.Readability
cleanStyles(Element) - Method in class org.openimaj.web.readability.Readability: Remove the style attribute on every e and under.
cleanup(Mapper<LongWritable, Text, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.downloader.DownloadMapper
cleanup(Mapper<Text, BytesWritable, IntWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.FeatureSelect.Map
cleanup(Mapper<Text, BytesWritable, Text, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.fastkmeans.ImageFeatureSelect.Map
cleanup(Mapper<LongWritable, Text, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.Map
cleanup(Reducer<LongWritable, BytesWritable, LongWritable, BytesWritable>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.CountTweetsInTimeperiod.TimeIndexReducer
cleanup(Mapper<LongWritable, Text, NullWritable, Text>.Context) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.match.TokenRegexMapper
cleanup() - Method in class org.openimaj.picslurper.DownloadBolt
cleanup() - Method in class org.openimaj.picslurper.PrintBolt
cleanup() - Method in class org.openimaj.storm.bolt.PrintingBolt
clear() - Method in class net.lag.kestrel.thrift.Item
clear() - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
clear() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
clear() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
clear() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
clear() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
clear() - Method in class net.lag.kestrel.thrift.Kestrel.get_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.get_result
clear() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
clear() - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
clear() - Method in class net.lag.kestrel.thrift.Kestrel.put_args
clear() - Method in class net.lag.kestrel.thrift.Kestrel.put_result
clear() - Method in class net.lag.kestrel.thrift.QueueInfo
clear() - Method in class org.openimaj.experiment.dataset.ListBackedDataset
clear(Class<T>, Object...) - Static method in class org.openimaj.io.Cache: Clear the cache entry for a given clazz and a set of constructors
clear(Cachable) - Static method in class org.openimaj.io.Cache: Clear the cache entry for a given cachable object
clear() - Method in class org.openimaj.math.util.RunningStat: Reset the running stats
clear() - Method in class org.openimaj.util.set.DisjointSetForest
clearBeforeDraw - Variable in class org.openimaj.vis.Visualisation: Whether to clear the image before redrawing
clearHistograms() - Method in class org.openimaj.image.saliency.DepthOfFieldEstimator
clearIterator() - Method in class org.openimaj.image.analysis.algorithm.HoughLines: Remove the temporary objects created during iteration.
CLImageAnalyser> - Class in org.openimaj.image.processing: Base ImageAnalyser for GPGPU accelerated analysis.
CLImageAnalyser(CLProgram) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct with the given OpenCL program
CLImageAnalyser(String...) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct with the given OpenCL program source, given in the form of Strings.
CLImageAnalyser(URL) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct with the program sourcecode at the given URL.
CLImageAnalyser(InputStream) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct by reading the program source from a stream
CLImageAnalyser(CLContext, CLProgram) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct with the given OpenCL program
CLImageAnalyser(CLContext, String...) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct with the given OpenCL program source, given in the form of Strings.
CLImageAnalyser(CLKernel) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct with the given OpenCL kernel
CLImageAnalyser(CLContext, URL) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct with the program sourcecode at the given URL.
CLImageAnalyser(CLContext, InputStream) - Constructor for class org.openimaj.image.processing.CLImageAnalyser: Construct by reading the program source from a stream
CLImageArithmetic - Class in org.openimaj.image.processing: Simple image arithmetic functions implemented using OpenCL.
CLImageArithmetic() - Constructor for class org.openimaj.image.processing.CLImageArithmetic: Default constructor.
CLImageArithmetic(CLContext) - Constructor for class org.openimaj.image.processing.CLImageArithmetic: Construct with the given context.
CLImageConversion - Class in org.openimaj.image: Utility methods for converting between OpenIMAJ Image types and CLImage2Ds for GPGPU acceleration.
CLImageProcessor> - Class in org.openimaj.image.processing: Base ImageProcessor for GPGPU accelerated processing.
CLImageProcessor(CLProgram) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct with the given OpenCL program
CLImageProcessor(String...) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct with the given OpenCL program source, given in the form of Strings.
CLImageProcessor(URL) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct with the program sourcecode at the given URL.
CLImageProcessor(InputStream) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct by reading the program source from a stream
CLImageProcessor(CLContext, CLProgram) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct with the given OpenCL program
CLImageProcessor(CLContext, String...) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct with the given OpenCL program source, given in the form of Strings.
CLImageProcessor(CLKernel) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct with the given OpenCL kernel
CLImageProcessor(CLContext, URL) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct with the program sourcecode at the given URL.
CLImageProcessor(CLContext, InputStream) - Constructor for class org.openimaj.image.processing.CLImageProcessor: Construct by reading the program source from a stream
clip(Float, Float) - Method in class org.openimaj.image.FImage: Sets any pixels that are below min or above max to zero.
clip(Q, Q) - Method in class org.openimaj.image.Image: Sets any pixels that are below min or above max to zero.
clip(T, T) - Method in class org.openimaj.image.MultiBandImage: Clips each band in this image to the same range.
clip(T[], T[]) - Method in class org.openimaj.image.MultiBandImage: Sets any pixels that are below min or above max to zero.
CLIP - Static variable in class org.openimaj.math.geometry.shape.util.PolygonUtils: CLIP
clipMax(Float) - Method in class org.openimaj.image.FImage: Set all values greater than the given value to zero.
clipMax(Q) - Method in class org.openimaj.image.Image: Set all values greater than the given value to zero.
clipMax(T) - Method in class org.openimaj.image.MultiBandImage: For all bands, sets any values above the given threshold to zero.
clipMax(T[]) - Method in class org.openimaj.image.MultiBandImage: Set all values greater than the given value to zero.
clipMaxInplace(double) - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
clipMin(Float) - Method in class org.openimaj.image.FImage: Set all values less than the given value to zero.
clipMin(Q) - Method in class org.openimaj.image.Image: Set all values less than the given value to zero.
clipMin(T) - Method in class org.openimaj.image.MultiBandImage: Sets all pixels in all bands that have a value below the given threshold to zero.
clipMin(T[]) - Method in class org.openimaj.image.MultiBandImage: Set all values less than the given value to zero.
CLM - Class in com.jsaragih: Constrained Local Model
CLM(PDM, Matrix, Matrix[], Matrix[], MPatch[][]) - Constructor for class com.jsaragih.CLM: Construct CLM
clm - Variable in class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration: The constrained local model
clm - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackedFace: The constrained local model
clm - Variable in class org.openimaj.image.processing.face.tracking.clm.MultiTracker.TrackerVars: The constrained local model
CLMAligner - Class in org.openimaj.image.processing.face.alignment: An aligner that warps a CLMDetectedFace to the neutral pose (reference shape) of the CLMFaceDetector.Configuration.
CLMAligner() - Constructor for class org.openimaj.image.processing.face.alignment.CLMAligner: Construct a new CLMAligner using the default CLMFaceDetector.Configuration and default size of 100 pixels.
CLMAligner(int) - Constructor for class org.openimaj.image.processing.face.alignment.CLMAligner: Construct a new CLMAligner using the default CLMFaceDetector.Configuration and given size for the aligned output image.
CLMDetectedFace - Class in org.openimaj.image.processing.face.detection: A constrained local model detected face.
CLMDetectedFace() - Constructor for class org.openimaj.image.processing.face.detection.CLMDetectedFace
CLMDetectedFace(MultiTracker.TrackedFace, FImage) - Constructor for class org.openimaj.image.processing.face.detection.CLMDetectedFace: Construct a CLMDetectedFace by copying the state from a MultiTracker.TrackedFace
CLMDetectedFace(Rectangle, Matrix, Matrix, Matrix, Matrix, FImage) - Constructor for class org.openimaj.image.processing.face.detection.CLMDetectedFace: Construct with the given bounds, shape and pose parameters and detection image.
CLMFaceDetector - Class in org.openimaj.image.processing.face.detection: Face detector based on a constrained local model.
CLMFaceDetector() - Constructor for class org.openimaj.image.processing.face.detection.CLMFaceDetector: Default constructor
CLMFaceDetector.Configuration - Class in org.openimaj.image.processing.face.detection: Configuration for the face detector
CLMFaceDetector.Configuration() - Constructor for class org.openimaj.image.processing.face.detection.CLMFaceDetector.Configuration: Construct with the default model parameters
CLMFaceTracker - Class in org.openimaj.image.processing.face.tracking.clm: CLM-based face tracker
CLMFaceTracker() - Constructor for class org.openimaj.image.processing.face.tracking.clm.CLMFaceTracker: Instantiates a tracker for tracking faces based on some default values and models.
CLMPoseFeature - Class in org.openimaj.image.processing.face.feature: A feature-vector that describes the pose of a face in 3D space in terms of its pitch, yaw and roll.
CLMPoseFeature() - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseFeature
CLMPoseFeature(DoubleFV) - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseFeature: Construct the CLMPoseFeature with the given feature vector.
CLMPoseFeature.Extractor - Class in org.openimaj.image.processing.face.feature: A FacialFeatureExtractor for providing CLMPoseFeatures.
CLMPoseFeature.Extractor() - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseFeature.Extractor
CLMPoseShapeFeature - Class in org.openimaj.image.processing.face.feature: A feature-vector that describes the pose and shape of a face.
CLMPoseShapeFeature() - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature
CLMPoseShapeFeature(DoubleFV) - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature: Construct the CLMPoseShapeFeature with the given feature vector.
CLMPoseShapeFeature.Extractor - Class in org.openimaj.image.processing.face.feature: A FacialFeatureExtractor for providing CLMPoseShapeFeatures.
CLMPoseShapeFeature.Extractor() - Constructor for class org.openimaj.image.processing.face.feature.CLMPoseShapeFeature.Extractor
CLMShapeFeature - Class in org.openimaj.image.processing.face.feature: A feature-vector that describes the shape of a face through a list of eigen-weights on a point distribution model.
CLMShapeFeature() - Constructor for class org.openimaj.image.processing.face.feature.CLMShapeFeature
CLMShapeFeature(DoubleFV) - Constructor for class org.openimaj.image.processing.face.feature.CLMShapeFeature: Construct the CLMShapeFeature with the given feature vector.
CLMShapeFeature.Extractor - Class in org.openimaj.image.processing.face.feature: A FacialFeatureExtractor for providing CLMShapeFeatures.
CLMShapeFeature.Extractor() - Constructor for class org.openimaj.image.processing.face.feature.CLMShapeFeature.Extractor
clone() - Method in class org.openimaj.audio.AudioFormat
clone() - Method in class org.openimaj.audio.SampleChunk
clone() - Method in class org.openimaj.audio.timecode.AudioTimecode: Clone this timecode.
clone() - Method in class org.openimaj.feature.ByteFV
clone() - Method in class org.openimaj.feature.DoubleFV
clone() - Method in class org.openimaj.feature.FloatFV
clone() - Method in class org.openimaj.feature.IntFV
clone() - Method in class org.openimaj.feature.local.ScaleSpaceLocation
clone() - Method in class org.openimaj.feature.local.SpatialLocation
clone() - Method in class org.openimaj.feature.LongFV
clone() - Method in class org.openimaj.feature.MultidimensionalByteFV
clone() - Method in class org.openimaj.feature.MultidimensionalDoubleFV
clone() - Method in class org.openimaj.feature.MultidimensionalFloatFV
clone() - Method in class org.openimaj.feature.MultidimensionalIntFV
clone() - Method in class org.openimaj.feature.MultidimensionalLongFV
clone() - Method in class org.openimaj.feature.MultidimensionalShortFV
clone() - Method in class org.openimaj.feature.ShortFV
clone() - Method in class org.openimaj.image.analysis.watershed.Component
clone() - Method in interface org.openimaj.image.analysis.watershed.feature.ComponentFeature: Create a clone of this feature
clone() - Method in class org.openimaj.image.analysis.watershed.feature.MomentFeature
clone() - Method in class org.openimaj.image.analysis.watershed.feature.PixelsFeature
clone() - Method in class org.openimaj.image.feature.local.interest.AbstractStructureTensorIPD
clone() - Method in class org.openimaj.image.feature.local.interest.EllipticInterestPointData
clone() - Method in class org.openimaj.image.feature.local.interest.HarrisIPD
clone() - Method in class org.openimaj.image.feature.local.interest.HessianIPD
clone() - Method in class org.openimaj.image.feature.local.interest.InterestPointData
clone() - Method in class org.openimaj.image.feature.local.interest.LaplaceIPD
clone() - Method in class org.openimaj.image.feature.local.interest.QuadratureIPD
clone() - Method in class org.openimaj.image.feature.local.interest.RidgeIPD
clone() - Method in class org.openimaj.image.feature.local.keypoints.FloatKeypoint
clone() - Method in class org.openimaj.image.feature.local.keypoints.Keypoint
clone() - Method in class org.openimaj.image.FImage: Deep copy of an image (internal image buffers copied).
clone() - Method in class org.openimaj.image.Image: Deep copy of an image (internal image buffers copied).
clone() - Method in interface org.openimaj.image.model.ImageClassificationModel
clone() - Method in class org.openimaj.image.model.patch.HistogramPatchModel
clone() - Method in class org.openimaj.image.model.patch.PatchClassificationModel
clone() - Method in class org.openimaj.image.model.pixel.HistogramPixelModel
clone() - Method in class org.openimaj.image.model.pixel.OrthotopePixelModel
clone() - Method in class org.openimaj.image.model.pixel.PixelClassificationModel
clone() - Method in class org.openimaj.image.model.pixel.SingleGaussianPixelModel
clone() - Method in class org.openimaj.image.MultiBandImage: Deep copy of an image (internal image buffers copied).
clone() - Method in class org.openimaj.image.pixel.ConnectedComponent: Performs a deep copy on the connected component; that is, all pixels are also cloned.
clone() - Method in class org.openimaj.image.pixel.Pixel
clone() - Method in class org.openimaj.image.pixel.statistics.BlockHistogramModel
clone() - Method in class org.openimaj.image.pixel.statistics.HistogramModel
clone() - Method in class org.openimaj.image.SingleBandImage: Deep copy of an image (internal image buffers copied).
clone() - Method in class org.openimaj.math.geometry.line.Line2d
clone() - Method in class org.openimaj.math.geometry.point.Point2dImpl
clone() - Method in class org.openimaj.math.geometry.point.Point3dImpl
clone() - Method in class org.openimaj.math.geometry.shape.Circle
clone() - Method in class org.openimaj.math.geometry.shape.Ellipse
clone() - Method in class org.openimaj.math.geometry.shape.Polygon
clone() - Method in class org.openimaj.math.geometry.shape.Rectangle
clone() - Method in interface org.openimaj.math.geometry.shape.Shape
clone() - Method in class org.openimaj.math.geometry.shape.Triangle
clone() - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel
clone() - Method in class org.openimaj.math.geometry.transforms.AffineTransformModel3d
clone() - Method in class org.openimaj.math.geometry.transforms.FundamentalModel: Clone the model
clone() - Method in class org.openimaj.math.geometry.transforms.HomographyModel
clone() - Method in class org.openimaj.math.geometry.transforms.OneToOnePointModel
clone() - Method in class org.openimaj.math.geometry.transforms.RadialDistortionModel
clone() - Method in class org.openimaj.math.geometry.transforms.RigidTransformModel3d
clone() - Method in class org.openimaj.math.geometry.transforms.TransformedOneToOnePointModel
clone() - Method in class org.openimaj.math.matrix.similarity.SimilarityMatrix
clone() - Method in class org.openimaj.math.model.GaussianVectorNaiveBayesModel
clone() - Method in class org.openimaj.math.model.LeastSquaresLinearModel
clone() - Method in interface org.openimaj.math.model.Model: Clone the model
clone() - Method in class org.openimaj.math.model.SampleLinearModel
clone() - Method in class org.openimaj.math.model.UnivariateGaussianNaiveBayesModel
clone() - Method in class org.openimaj.math.statistics.distribution.Histogram
clone() - Method in class org.openimaj.math.statistics.distribution.MultidimensionalHistogram
clone() - Method in class org.openimaj.ml.clustering.kmeans.KMeansConfiguration
clone() - Method in class org.openimaj.ml.regression.LinearRegression
clone() - Method in class org.openimaj.picslurper.output.WriteableImageOutput
clone() - Method in class org.openimaj.rdf.owl2java.Generator.GeneratorOptions
clone() - Method in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF
clone() - Method in class org.openimaj.text.nlp.sentiment.model.wordlist.util.TFF.Clue
clone() - Method in class org.openimaj.text.nlp.sentiment.type.DiscreteCountBipolarSentiment
clone() - Method in class org.openimaj.text.nlp.sentiment.type.WeightedBipolarSentiment
clone() - Method in interface org.openimaj.time.Timecode: Clone this timecode.
clone() - Method in class org.openimaj.twitter.USMFStatus
clone(Class<T>) - Method in class org.openimaj.twitter.USMFStatus: Clones the tweet to the given class.
clone() - Method in class org.openimaj.util.array.ByteArrayView
clone() - Method in class org.openimaj.util.array.DoubleArrayView
clone() - Method in class org.openimaj.util.array.FloatArrayView
clone() - Method in class org.openimaj.util.array.IntArrayView
clone() - Method in class org.openimaj.util.array.LongArrayView
clone() - Method in class org.openimaj.util.array.ShortArrayView
clone() - Method in class org.openimaj.video.processing.shotdetector.VideoKeyframe
clone() - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode: Clone this timecode.
clone() - Method in class org.openimaj.video.timecode.HrsMinSecFrameTimecode: Clone this timecode.
clone() - Method in class org.openimaj.video.timecode.VideoTimecode: Clone this timecode.
clone() - Method in class org.openimaj.video.tracking.klt.Feature
clone() - Method in class org.openimaj.video.tracking.klt.FeatureList
close() - Method in class backtype.storm.spout.KestrelThriftClient
close() - Method in class backtype.storm.spout.KestrelThriftSpout
close() - Method in class backtype.storm.spout.UnreliableKestrelThriftSpout
close() - Method in class org.openimaj.content.slideshow.PictureSlide
close() - Method in interface org.openimaj.content.slideshow.Slide: Close the current slide.
close() - Method in class org.openimaj.content.slideshow.VideoSlide
close() - Method in class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileRecordReader
close() - Method in class org.openimaj.hadoop.sequencefile.SequenceFileUtility: Close the underlying writer.
close() - Method in class org.openimaj.hardware.kinect.KinectController: Close the device.
close() - Method in class org.openimaj.hardware.serial.SerialDevice: Close the connection to the serial port.
close() - Method in class org.openimaj.hardware.turntable.Turntable: Close the connection to the turntable.
Close - Class in org.openimaj.image.processing.morphology: Morphological closing of connected components and (assumed binary) FImages.
Close(StructuringElement) - Constructor for class org.openimaj.image.processing.morphology.Close: Construct the close operator with the given structuring element
Close() - Constructor for class org.openimaj.image.processing.morphology.Close: Construct the close operator with a BOX structuring element
close() - Method in class org.openimaj.kestrel.KestrelServerSpec
close() - Method in class org.openimaj.kestrel.SimpleKestrelClient
close() - Method in class org.openimaj.math.geometry.shape.Polygon: Close the polygon if it's not already closed
close() - Method in class org.openimaj.picslurper.LocalTweetSpout
close() - Method in class org.openimaj.tools.clusterquantiser.FeatureFile: close any connection to the underlying file
close() - Method in class org.openimaj.tools.clusterquantiser.MemoryFeatureFile
close() - Method in class org.openimaj.tools.clusterquantiser.StreamedFeatureFile
close() - Method in class org.openimaj.video.Video: Close the video object
close() - Method in class org.openimaj.video.VideoDisplay: Close the video display.
close() - Method in class org.openimaj.video.xuggle.XuggleVideo: Close the video object
close() - Method in class org.openimaj.video.xuggle.XuggleVideoWriter: Close the video stream
CLSobel - Class in org.openimaj.image.processing.convolution: OpenCL implementation of a 3x3 Sobel operator.
CLSobel() - Constructor for class org.openimaj.image.processing.convolution.CLSobel: Default Constructor
CLSobel(CLContext) - Constructor for class org.openimaj.image.processing.convolution.CLSobel: Construct with context.
cluster(byte[][]) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
cluster(DataSource<byte[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans: Initiate clustering with the given data and number of clusters.
cluster(DataSource<byte[]>, ByteKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans: Main clustering algorithm.
cluster(DataSource<byte[]>) - Method in class org.openimaj.ml.clustering.kmeans.ByteKMeans
cluster(double[][]) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
cluster(DataSource<double[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans: Initiate clustering with the given data and number of clusters.
cluster(DataSource<double[]>, DoubleKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans: Main clustering algorithm.
cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.kmeans.DoubleKMeans
cluster(float[][]) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
cluster(DataSource<float[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans: Initiate clustering with the given data and number of clusters.
cluster(DataSource<float[]>, FloatKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans: Main clustering algorithm.
cluster(DataSource<float[]>) - Method in class org.openimaj.ml.clustering.kmeans.FloatKMeans
cluster(byte[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeans
cluster(DataSource<byte[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalByteKMeans
cluster(double[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeans
cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalDoubleKMeans
cluster(float[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeans
cluster(DataSource<float[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeans
cluster(int[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeans
cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalIntKMeans
cluster(long[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeans
cluster(DataSource<long[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalLongKMeans
cluster(short[][]) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeans
cluster(DataSource<short[]>) - Method in class org.openimaj.ml.clustering.kmeans.HierarchicalShortKMeans
cluster(int[][]) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
cluster(DataSource<int[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans: Initiate clustering with the given data and number of clusters.
cluster(DataSource<int[]>, IntKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans: Main clustering algorithm.
cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.kmeans.IntKMeans
cluster(long[][]) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
cluster(DataSource<long[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans: Initiate clustering with the given data and number of clusters.
cluster(DataSource<long[]>, LongKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans: Main clustering algorithm.
cluster(DataSource<long[]>) - Method in class org.openimaj.ml.clustering.kmeans.LongKMeans
cluster(short[][]) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
cluster(DataSource<short[]>, int) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans: Initiate clustering with the given data and number of clusters.
cluster(DataSource<short[]>, ShortKMeans.Result) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans: Main clustering algorithm.
cluster(DataSource<short[]>) - Method in class org.openimaj.ml.clustering.kmeans.ShortKMeans
cluster(int[][]) - Method in class org.openimaj.ml.clustering.rac.ClusterLimitedIntRAC
cluster(int[][]) - Method in class org.openimaj.ml.clustering.rac.IntRAC
cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.rac.IntRAC
cluster(byte[][]) - Method in class org.openimaj.ml.clustering.random.RandomByteClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<byte[]>) - Method in class org.openimaj.ml.clustering.random.RandomByteClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(double[][]) - Method in class org.openimaj.ml.clustering.random.RandomDoubleClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.random.RandomDoubleClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(float[][]) - Method in class org.openimaj.ml.clustering.random.RandomFloatClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<float[]>) - Method in class org.openimaj.ml.clustering.random.RandomFloatClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(int[][]) - Method in class org.openimaj.ml.clustering.random.RandomIntClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.random.RandomIntClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(long[][]) - Method in class org.openimaj.ml.clustering.random.RandomLongClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<long[]>) - Method in class org.openimaj.ml.clustering.random.RandomLongClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(byte[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetByteClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<byte[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetByteClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(double[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetDoubleClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<double[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetDoubleClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(float[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetFloatClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<float[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetFloatClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(int[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetIntClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetIntClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(long[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetLongClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<long[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetLongClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(short[][]) - Method in class org.openimaj.ml.clustering.random.RandomSetShortClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<short[]>) - Method in class org.openimaj.ml.clustering.random.RandomSetShortClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(short[][]) - Method in class org.openimaj.ml.clustering.random.RandomShortClusterer: Selects K elements from the provided data as the centroids of the clusters.
cluster(DataSource<short[]>) - Method in class org.openimaj.ml.clustering.random.RandomShortClusterer: Selects K elements from the provided DataSource as the centroids of the clusters.
cluster(int[][]) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
cluster(DataSource<int[]>) - Method in class org.openimaj.ml.clustering.rforest.IntRandomForest
cluster(DATATYPE[]) - Method in interface org.openimaj.ml.clustering.SpatialClusterer: Perform clustering on the given data.
cluster(DataSource<DATATYPE>) - Method in interface org.openimaj.ml.clustering.SpatialClusterer: Perform clustering with data from a data source.
CLUSTER_HEADER - Static variable in interface org.openimaj.ml.clustering.Clusters: The default cluster header
clusterClass - Variable in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
ClusterLimitedIntRAC - Class in org.openimaj.ml.clustering.rac: Similar to IntRAC but explicitly specify the limit the number of clusters.
ClusterLimitedIntRAC() - Constructor for class org.openimaj.ml.clustering.rac.ClusterLimitedIntRAC: Sets the expected number of clusters to 100 and radius to 128.
ClusterLimitedIntRAC(double) - Constructor for class org.openimaj.ml.clustering.rac.ClusterLimitedIntRAC: Set the number of clusters to 100.
ClusterLimitedIntRAC(int[][], int, int) - Constructor for class org.openimaj.ml.clustering.rac.ClusterLimitedIntRAC: Attempt to learn the threshold and uses this as an expected number of clusters.
ClusterQuantiser - Class in org.openimaj.tools.clusterquantiser: A tool for clustering and quantising local features.
ClusterQuantiser() - Constructor for class org.openimaj.tools.clusterquantiser.ClusterQuantiser
ClusterQuantiserOptions - Class in org.openimaj.tools.clusterquantiser: Options for ClusterQuantiser tool.
ClusterQuantiserOptions(String[]) - Constructor for class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions: Construct with arguments
ClusterQuantiserOptions() - Constructor for class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions: Construct with defaults
Clusters - Interface in org.openimaj.ml.clustering: Interface to represent the result of a clustering operation
ClusterType - Enum in org.openimaj.tools.clusterquantiser: Different clustering algorithms
ClusterType.ClusterTypeOp - Class in org.openimaj.tools.clusterquantiser: Options for each ClusterType.
ClusterType.ClusterTypeOp() - Constructor for class org.openimaj.tools.clusterquantiser.ClusterType.ClusterTypeOp
clusterTypeOp - Variable in class org.openimaj.tools.clusterquantiser.ClusterQuantiserOptions
clz - Variable in class org.openimaj.util.list.AbstractFileBackedList
clz - Variable in class org.openimaj.util.list.AbstractStreamBackedList: The class from which to generate an instance of items held in the list
cm - Variable in class org.openimaj.tools.localfeature.LocalFeatureMode.LocalFeatureModeOp
CMAggregator<CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix: A ResultAggregator for collecting multiple CMResults and producing a single unified report.
CMAggregator() - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAggregator
CMAnalyser<OBJECT,CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix: A ClassificationAnalyser that creates Confusion Matrices.
CMAnalyser(CMAnalyser.Strategy) - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMAnalyser: Construct with the given strategy for building the confusion matrix
CMAnalyser.Strategy - Enum in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix: Strategies for building confusion matrices
CmdLineOptionsProvider - Interface in org.kohsuke.args4j: Interface for objects that have associated objects that can provide args4j options and arguments.
cmOp - Variable in class org.openimaj.tools.localfeature.LocalFeatureMode.LocalFeatureModeOp
CMResult<CLASS> - Class in org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix: Results of a confusion matrix analysis using the CMAnalyser.
CMResult(ConfusionMatrix<CLASS>) - Constructor for class org.openimaj.experiment.evaluation.classification.analysers.confusionmatrix.CMResult: Construct with a ConfusionMatrix.
code4(Pixel, Pixel) - Method in class org.openimaj.image.pixel.ConnectedComponent: For the two pixels, determines the 4-connected chain code that will move from the first pixel to the next.
code8(Pixel, Pixel) - Method in class org.openimaj.image.pixel.ConnectedComponent: For the two pixels, determines the 8-connected chain code that will move from the first pixel to the next.
codebook - Variable in class org.openimaj.ml.clustering.rac.IntRAC
coherentHistogram - Variable in class org.openimaj.image.analysis.algorithm.EdgeDirectionCoherenceVector.EdgeDirectionCoherenceHistogram: The coherent part of the histogram
collectionByNames(String...) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
collectionByNames(Collection<String>) - Method in class org.openimaj.ml.timeseries.collection.TimeSeriesCollection
CollectionComparisonTool - Class in org.openimaj.tools.globalfeature: This is a stand-alone tool that provides a means for comparing a collection of images against each other.
CollectionComparisonTool() - Constructor for class org.openimaj.tools.globalfeature.CollectionComparisonTool
Collector<OCTAVE extends Octave<?,?,IMAGE>,FEATURE extends LocalFeature<?,?>,IMAGE extends Image<?,IMAGE> & SinglebandImageProcessor.Processable<Float,FImage,IMAGE>> - Interface in org.openimaj.image.feature.local.detector.dog.collector: A Collector gathers all the local features from the interest points detected in a single Octave.
collector - Variable in class org.openimaj.image.feature.local.engine.FImagePyramidEngineOptions
collector - Variable in class org.openimaj.picslurper.LocalTweetSpout
collector - Variable in class org.openimaj.storm.spout.SimpleSpout
ColloquialismPatternProvider - Class in org.openimaj.text.nlp.patterns: Common colloquial statments (e.g.
ColloquialismPatternProvider() - Constructor for class org.openimaj.text.nlp.patterns.ColloquialismPatternProvider
colmodel - Variable in class org.openimaj.image.connectedcomponent.proc.ColourDescriptor
Colorfulness - Class in org.openimaj.image.feature.global: Implementation of Hasler and Susstruck's Colorfulness metric http://infoscience.epfl.ch/record/33994/files/HaslerS03.pdf?version=1
Colorfulness() - Constructor for class org.openimaj.image.feature.global.Colorfulness
Colorfulness.ColorfulnessAttr - Enum in org.openimaj.image.feature.global: Classes of colourfulness
colour - Variable in class org.openimaj.image.processor.connectedcomponent.render.AbstractRenderer: The colour the connected component will be written in
COLOUR - Static variable in class org.openimaj.image.typography.FontStyle: Attribute for stroke colour.
colour - Variable in class org.openimaj.image.typography.FontStyle: Stroke colour for drawing the associated text
colour - Variable in class org.openimaj.vis.timeline.Timeline.TimelineMarker: The colour of the marker
ColourASIFT - Class in org.openimaj.image.feature.local.affine: Colour Affine-simulated SIFT (CASIFT).
ColourASIFT(DoGSIFTEngineOptions<MBFImage>) - Constructor for class org.openimaj.image.feature.local.affine.ColourASIFT: Construct with the given options for the internal DoGSIFTEngine.
ColourASIFT(boolean) - Constructor for class org.openimaj.image.feature.local.affine.ColourASIFT: Construct the ASIFT extractor using the default parameters for the DoGSIFTEngine, with the exception of the option to double the size of the initial image which can be overridden.
ColourASIFTEngine - Class in org.openimaj.image.feature.local.engine.asift: An Engine for Colour ASIFT.
ColourASIFTEngine() - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine: Construct using 5 tilt levels and no initial double-sizing.
ColourASIFTEngine(boolean) - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine: Construct using 5 tilt levels with optional initial double-sizing.
ColourASIFTEngine(boolean, int) - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine: Construct using given number of tilt levels with optional initial double-sizing.
ColourASIFTEngine(DoGSIFTEngineOptions<MBFImage>) - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine: Construct using 5 tilt levels and the given parameters for the internal DoGSIFTEngine.
ColourASIFTEngine(DoGSIFTEngineOptions<MBFImage>, int) - Constructor for class org.openimaj.image.feature.local.engine.asift.ColourASIFTEngine: Construct using the given numbe of tilt levels and parameters for the internal DoGSIFTEngine.
colourAverage(int) - Method in class org.openimaj.image.pixel.statistics.HistogramModel: For a given index, get the average colour which would map to it
ColourContrast - Class in org.openimaj.image.feature.global: Implementation of a color contrast feature.
ColourContrast() - Constructor for class org.openimaj.image.feature.global.ColourContrast: Construct the ColourContrast feature extractor using the default settings for the FelzenszwalbHuttenlocherSegmenter.
ColourContrast(float, float, int) - Constructor for class org.openimaj.image.feature.global.ColourContrast: Construct the ColourContrast feature extractor with the given parameters for the underlying FelzenszwalbHuttenlocherSegmenter.
ColourContrastExtractor - Class in org.openimaj.tools.globalfeature.type: Colour contrast
ColourContrastExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.ColourContrastExtractor
ColourDescriptor - Class in org.openimaj.image.connectedcomponent.proc: Descriptors based on the first-order statistics of the colour of pixel values in an image.
ColourDescriptor() - Constructor for class org.openimaj.image.connectedcomponent.proc.ColourDescriptor: Construct with no image.
ColourDescriptor(MBFImage) - Constructor for class org.openimaj.image.connectedcomponent.proc.ColourDescriptor: Construct with the given image.
ColourDescriptor.ColourDescriptorType - Enum in org.openimaj.image.connectedcomponent.proc: The different types of statistic available.
ColourFacesExtractor - Class in org.openimaj.tools.globalfeature.type: Sandeep faces
ColourFacesExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.ColourFacesExtractor
ColourfulnessExtractor - Class in org.openimaj.tools.globalfeature.type: Colorfulness
ColourfulnessExtractor() - Constructor for class org.openimaj.tools.globalfeature.type.ColourfulnessExtractor
ColourGradientFeatureExtractor - Class in org.openimaj.image.feature.local.detector.dog.extractor: Class capable of extracting local descriptors from a circular region in an image defined by its scale and centre.
ColourGradientFeatureExtractor(AbstractDominantOrientationExtractor, GradientFeatureProviderFactory) - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor: Construct with the given orientation extractor and gradient feature provider.
ColourGradientFeatureExtractor(AbstractDominantOrientationExtractor, GradientFeatureProviderFactory, float) - Constructor for class org.openimaj.image.feature.local.detector.dog.extractor.ColourGradientFeatureExtractor: Construct with the given orientation extractor, gradient feature provider and magnification factor determining the size of the sampling region relative to the scale of the interest point.
ColourMap - Enum in org.openimaj.image.colour: Colour maps
ColourMap.Mode - Enum in org.openimaj.image.colour: Colour map modes.
ColourMap.Type - Enum in org.openimaj.image.colour: Types of colour map.
colourRange(int) - Method in class org.openimaj.image.pixel.statistics.HistogramModel: For a given index, map to the range of colours which could map to it
ColourSpace - Enum in org.openimaj.image.colour: Different colour space types with conversion methods.
colourSpace - Variable in class org.openimaj.image.MultiBandImage: The colour-space of this image
columnCount() - Method in class org.openimaj.math.matrix.JamaDenseMatrix
com.jsaragih - package com.jsaragih
com.thebuzzmedia.exiftool - package com.thebuzzmedia.exiftool
combine(TimeFrequencyHolder.TimeFrequency) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency: Given a TimeFrequencyHolder.TimeFrequency instance, keep count of cumulative frequency and set the periodFrequency to the one furthest along in time
combine(long, long) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.dfidf.TimeFrequencyHolder.TimeFrequency
combine(TweetCountWordMap) - Method in class org.openimaj.hadoop.tools.twitter.utils.TweetCountWordMap: Add values from "that" to those in this if they exist, otherwise create the element and start a new count
combine(MBFImage, MBFImage) - Method in class org.openimaj.image.analysis.colour.CIEDE2000
combine() - Method in interface org.openimaj.image.combiner.AccumulatingImageCombiner: Combine the accumulated images and produce the output.
combine(I1, I2) - Method in interface org.openimaj.image.combiner.ImageCombiner: Perform processing that combines the two images into a single image.
combine(FImage, FImage) - Method in class org.openimaj.image.processing.edges.NonMaximumSuppression: Perform non-maximum suppression.
combine(FImage, FImage) - Method in class org.openimaj.image.processing.edges.NonMaximumSuppressionTangent: Perform non-maximum suppression.
combine() - Method in class org.openimaj.image.processing.transform.ProjectionProcessor
combine(Histogram...) - Method in class org.openimaj.math.statistics.distribution.Histogram: Create a new histogram by concatenating this one with the given ones.
combine(PatternProvider) - Method in class org.openimaj.text.nlp.patterns.ColloquialismPatternProvider
combine(PatternProvider) - Method in class org.openimaj.text.nlp.patterns.EmoticonPatternProvider
combine(PatternProvider) - Method in class org.openimaj.text.nlp.patterns.PatternProvider
CombinedPatternProvider - Class in org.openimaj.text.nlp.patterns: Combine multiple matterns with a RegexUtil.regex_or_match(java.util.List)
CombinedPatternProvider(PatternProvider, PatternProvider) - Constructor for class org.openimaj.text.nlp.patterns.CombinedPatternProvider
combiner() - Method in class org.openimaj.hadoop.mapreduce.stage.Stage: By default this method returns the IdentityReducer class.
combiner() - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.PairMutualInformation
CombineSequenceFileInputFormat<K,V> - Class in org.openimaj.hadoop.sequencefile.combine
CombineSequenceFileInputFormat() - Constructor for class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileInputFormat
CombineSequenceFileRecordReader<K,V> - Class in org.openimaj.hadoop.sequencefile.combine: Proxy RecordReader that CombineFileRecordReader can instantiate, which itself translates a CombineFileSplit into a FileSplit.
CombineSequenceFileRecordReader(CombineFileSplit, TaskAttemptContext, Integer) - Constructor for class org.openimaj.hadoop.sequencefile.combine.CombineSequenceFileRecordReader
combineWith(ImageCombiner<I, OTHER, OUT>, OTHER) - Method in class org.openimaj.image.Image: Combine this image with another using an ImageCombiner.
CombiShotDetector - Class in org.openimaj.video.processing.shotdetector: A shot detector that uses evidence from a number of shot detectors to determine if a shot has been detected.
CombiShotDetector(Video<MBFImage>) - Constructor for class org.openimaj.video.processing.shotdetector.CombiShotDetector: Default constructor that takes the video to be processed
ComboSimulation - Class in org.openimaj.image.neardups.sim
ComboSimulation(int, Simulation...) - Constructor for class org.openimaj.image.neardups.sim.ComboSimulation
comment - Variable in class org.openimaj.rdf.owl2java.ClassDef: The description of the class from the RDF comment
comment - Variable in class org.openimaj.rdf.owl2java.PropertyDef: The comment on this property
COMMENT_KEY - Static variable in class org.openimaj.hadoop.sequencefile.MetadataConfiguration: Standard key for a comment metadata item
comments - Variable in class org.openimaj.twitter.USMFStatus: Number of users who "commented" this
Community - Interface in orgrdfs.sioc.ns: Community is a high-level concept that defines an online community and what it consists of.
compact() - Method in class org.openimaj.util.array.SparseBinSearchByteArray
compact() - Method in class org.openimaj.util.array.SparseBinSearchDoubleArray
compact() - Method in class org.openimaj.util.array.SparseBinSearchFloatArray
compact() - Method in class org.openimaj.util.array.SparseBinSearchIntArray
compact() - Method in class org.openimaj.util.array.SparseBinSearchLongArray
compact() - Method in class org.openimaj.util.array.SparseBinSearchShortArray
compact() - Method in class org.openimaj.util.array.SparseByteArray: Compact the space being used by the array if possible.
compact() - Method in class org.openimaj.util.array.SparseDoubleArray: Compact the space being used by the array if possible.
compact() - Method in class org.openimaj.util.array.SparseFloatArray: Compact the space being used by the array if possible.
compact() - Method in class org.openimaj.util.array.SparseHashedByteArray
compact() - Method in class org.openimaj.util.array.SparseHashedDoubleArray
compact() - Method in class org.openimaj.util.array.SparseHashedFloatArray
compact() - Method in class org.openimaj.util.array.SparseHashedIntArray
compact() - Method in class org.openimaj.util.array.SparseHashedLongArray
compact() - Method in class org.openimaj.util.array.SparseHashedShortArray
compact() - Method in class org.openimaj.util.array.SparseIntArray: Compact the space being used by the array if possible.
compact() - Method in class org.openimaj.util.array.SparseLongArray: Compact the space being used by the array if possible.
compact() - Method in class org.openimaj.util.array.SparseShortArray: Compact the space being used by the array if possible.
compactness - Variable in class org.openimaj.image.connectedcomponent.proc.BasicShapeDescriptor: The compactness of the component.
ComparableComparator<T extends Comparable<T>> - Class in org.openimaj.util.comparator: A natural ordering Comparator for Comparable objects.
ComparableComparator() - Constructor for class org.openimaj.util.comparator.ComparableComparator
comparator() - Method in class org.openimaj.image.processing.face.similarity.FaceSimilarityEngine
compare(ByteFV, ByteFVComparison) - Method in class org.openimaj.feature.ByteFV: Compare this FV to another with the given method.
compare(ByteFV, ByteFV) - Method in enum org.openimaj.feature.ByteFVComparison
compare(byte[], byte[]) - Method in enum org.openimaj.feature.ByteFVComparison: Compare two feature vectors in the form of native arrays, returning a score or distance.
compare(DoubleFV, DoubleFVComparison) - Method in class org.openimaj.feature.DoubleFV: Compare this FV to another with the given method.
compare(DoubleFV, DoubleFV) - Method in enum org.openimaj.feature.DoubleFVComparison
compare(double[], double[]) - Method in enum org.openimaj.feature.DoubleFVComparison: Compare two feature vectors in the form of native arrays, returning a score or distance.
compare(FloatFV, FloatFVComparison) - Method in class org.openimaj.feature.FloatFV: Compare this FV to another with the given method.
compare(FloatFV, FloatFV) - Method in enum org.openimaj.feature.FloatFVComparison
compare(float[], float[]) - Method in enum org.openimaj.feature.FloatFVComparison: Compare two feature vectors in the form of native arrays, returning a score or distance.
compare(IntFV, IntFVComparison) - Method in class org.openimaj.feature.IntFV: Compare this FV to another with the given method.
compare(IntFV, IntFV) - Method in enum org.openimaj.feature.IntFVComparison
compare(int[], int[]) - Method in enum org.openimaj.feature.IntFVComparison: Compare two feature vectors in the form of native arrays, returning a score or distance.
compare(LongFV, LongFVComparison) - Method in class org.openimaj.feature.LongFV: Compare this FV to another with the given method.
compare(LongFV, LongFV) - Method in enum org.openimaj.feature.LongFVComparison
compare(long[], long[]) - Method in enum org.openimaj.feature.LongFVComparison: Compare two feature vectors in the form of native arrays, returning a score or distance.
compare(MultidimensionalByteFV, ByteFVComparison) - Method in class org.openimaj.feature.MultidimensionalByteFV: Compare this FV to another with the given method.
compare(MultidimensionalDoubleFV, DoubleFVComparison) - Method in class org.openimaj.feature.MultidimensionalDoubleFV: Compare this FV to another with the given method.
compare(MultidimensionalFloatFV, FloatFVComparison) - Method in class org.openimaj.feature.MultidimensionalFloatFV: Compare this FV to another with the given method.
compare(MultidimensionalIntFV, IntFVComparison) - Method in class org.openimaj.feature.MultidimensionalIntFV: Compare this FV to another with the given method.
compare(MultidimensionalLongFV, LongFVComparison) - Method in class org.openimaj.feature.MultidimensionalLongFV: Compare this FV to another with the given method.
compare(MultidimensionalShortFV, ShortFVComparison) - Method in class org.openimaj.feature.MultidimensionalShortFV: Compare this FV to another with the given method.
compare(ShortFV, ShortFVComparison) - Method in class org.openimaj.feature.ShortFV: Compare this FV to another with the given method.
compare(ShortFV, ShortFV) - Method in enum org.openimaj.feature.ShortFVComparison
compare(short[], short[]) - Method in enum org.openimaj.feature.ShortFVComparison: Compare two feature vectors in the form of native arrays, returning a score or distance.
compare(SparseByteFV, SparseByteFV) - Method in enum org.openimaj.feature.SparseByteFVComparison
compare(SparseByteArray, SparseByteArray) - Method in enum org.openimaj.feature.SparseByteFVComparison: Compare two feature vectors in the form of sparse arrays, returning a score or distance.
compare(SparseDoubleFV, SparseDoubleFV) - Method in enum org.openimaj.feature.SparseDoubleFVComparison
compare(SparseDoubleArray, SparseDoubleArray) - Method in enum org.openimaj.feature.SparseDoubleFVComparison: Compare two feature vectors in the form of sparse arrays, returning a score or distance.
compare(SparseFloatFV, SparseFloatFV) - Method in enum org.openimaj.feature.SparseFloatFVComparison
compare(SparseFloatArray, SparseFloatArray) - Method in enum org.openimaj.feature.SparseFloatFVComparison: Compare two feature vectors in the form of sparse arrays, returning a score or distance.
compare(SparseIntFV, SparseIntFV) - Method in enum org.openimaj.feature.SparseIntFVComparison
compare(SparseIntArray, SparseIntArray) - Method in enum org.openimaj.feature.SparseIntFVComparison: Compare two feature vectors in the form of sparse arrays, returning a score or distance.
compare(SparseLongFV, SparseLongFV) - Method in enum org.openimaj.feature.SparseLongFVComparison
compare(SparseLongArray, SparseLongArray) - Method in enum org.openimaj.feature.SparseLongFVComparison: Compare two feature vectors in the form of sparse arrays, returning a score or distance.
compare(SparseShortFV, SparseShortFV) - Method in enum org.openimaj.feature.SparseShortFVComparison
compare(SparseShortArray, SparseShortArray) - Method in enum org.openimaj.feature.SparseShortFVComparison: Compare two feature vectors in the form of sparse arrays, returning a score or distance.
compare(BytesWritable, BytesWritable) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairKeyComparator
compare(byte[], int, int, byte[], int, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairKeyComparator
compare(BytesWritable, BytesWritable) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairValueGroupingComparator
compare(byte[], int, int, byte[], int, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.count.TokenPairValueGroupingComparator
compare(BytesWritable, BytesWritable) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortKeyComparator
compare(byte[], int, int, byte[], int, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortKeyComparator
compare(BytesWritable, BytesWritable) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortValueGroupingComparator
compare(byte[], int, int, byte[], int, int) - Method in class org.openimaj.hadoop.tools.twitter.token.mode.pointwisemi.sort.PMISortValueGroupingComparator
compare - Variable in class org.openimaj.image.model.patch.HistogramPatchModel
compare(FValuePixel, FValuePixel) - Method in class org.openimaj.image.pixel.FValuePixel.ReverseValueComparator
compare(FValuePixel, FValuePixel) - Method in class org.openimaj.image.pixel.FValuePixel.ValueComparator
compare(DoGSIFTFeature, DoGSIFTFeature) - Method in class org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator
compare(T, T) - Method in class org.openimaj.image.processing.face.feature.comparison.FaceFVComparator
compare(LtpDtFeature, LtpDtFeature) - Method in class org.openimaj.image.processing.face.feature.comparison.LtpDtFeatureComparator
compare(LtpDtFeature, LtpDtFeature) - Method in class org.openimaj.image.processing.face.feature.comparison.ReversedLtpDtFeatureComparator
compare(T, T) - Method in class org.openimaj.util.comparator.ComparableComparator
compare(T, T) - Method in interface org.openimaj.util.comparator.DistanceComparator: Compare two objects, returning a score or distance.
compare(T, T) - Method in class org.openimaj.util.comparator.InverseComparableComparator
compareTo(Item) - Method in class net.lag.kestrel.thrift.Item
compareTo(Kestrel.abort_args) - Method in class net.lag.kestrel.thrift.Kestrel.abort_args
compareTo(Kestrel.abort_result) - Method in class net.lag.kestrel.thrift.Kestrel.abort_result
compareTo(Kestrel.confirm_args) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_args
compareTo(Kestrel.confirm_result) - Method in class net.lag.kestrel.thrift.Kestrel.confirm_result
compareTo(Kestrel.delete_queue_args) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_args
compareTo(Kestrel.delete_queue_result) - Method in class net.lag.kestrel.thrift.Kestrel.delete_queue_result
compareTo(Kestrel.flush_all_queues_args) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_args
compareTo(Kestrel.flush_all_queues_result) - Method in class net.lag.kestrel.thrift.Kestrel.flush_all_queues_result
compareTo(Kestrel.flush_queue_args) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_args
compareTo(Kestrel.flush_queue_result) - Method in class net.lag.kestrel.thrift.Kestrel.flush_queue_result
compareTo(Kestrel.get_args) - Method in class net.lag.kestrel.thrift.Kestrel.get_args
compareTo(Kestrel.get_result) - Method in class net.lag.kestrel.thrift.Kestrel.get_result
compareTo(Kestrel.get_version_args) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_args
compareTo(Kestrel.get_version_result) - Method in class net.lag.kestrel.thrift.Kestrel.get_version_result
compareTo(Kestrel.peek_args) - Method in class net.lag.kestrel.thrift.Kestrel.peek_args
compareTo(Kestrel.peek_result) - Method in class net.lag.kestrel.thrift.Kestrel.peek_result
compareTo(Kestrel.put_args) - Method in class net.lag.kestrel.thrift.Kestrel.put_args
compareTo(Kestrel.put_result) - Method in class net.lag.kestrel.thrift.Kestrel.put_result
compareTo(QueueInfo) - Method in class net.lag.kestrel.thrift.QueueInfo
compareTo(WordDFIDF) - Method in class org.openimaj.hadoop.tools.twitter.token.outputmode.correlation.WordDFIDFValue
compareTo(WordDFIDF) - Method in class org.openimaj.hadoop.tools.twitter.utils.WordDFIDF
compareTo(IPDRepeatability.ScoredPair<B, T>) - Method in class org.openimaj.image.feature.validator.IPDRepeatability.ScoredPair
compareTo(ReadWriteableByte) - Method in class org.openimaj.io.wrappers.ReadWriteableByte
compareTo(ReadWriteableDouble) - Method in class org.openimaj.io.wrappers.ReadWriteableDouble
compareTo(ReadWriteableFloat) - Method in class org.openimaj.io.wrappers.ReadWriteableFloat
compareTo(ReadWriteableInt) - Method in class org.openimaj.io.wrappers.ReadWriteableInt
compareTo(ReadWriteableLong) - Method in class org.openimaj.io.wrappers.ReadWriteableLong
compareTo(ReadWriteableShort) - Method in class org.openimaj.io.wrappers.ReadWriteableShort
compareTo(ScoredAnnotation<ANNOTATION>) - Method in class org.openimaj.ml.annotation.ScoredAnnotation
compareTo(Sequencer.SequencerEvent) - Method in class org.openimaj.time.Sequencer.SequencerEvent
compareTo(VideoTimecode) - Method in class org.openimaj.video.timecode.FrameNumberVideoTimecode
comparisonEvaluation(SetRetrievalEvaluator, SetRetrievalEvaluator, String, String) - Static method in class org.lemurproject.ireval.IREval: Compare two sets of retrieval results.
compass - Variable in class org.openimaj.hardware.compass.CompassData: Compass angle in degrees
CompassData - Class in org.openimaj.hardware.compass: A structure for storing compass data.
CompassData() - Constructor for class org.openimaj.hardware.compass.CompassData
CompassOperators - Class in org.openimaj.image.processing.convolution: Compass operators that are used by the Liu and Samarabandu text extraction.
CompassOperators() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators
CompassOperators.Compass0 - Class in org.openimaj.image.processing.convolution: The Compass0 operator
CompassOperators.Compass0() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators.Compass0: Default constructor
CompassOperators.Compass135 - Class in org.openimaj.image.processing.convolution: The Compass135 operator
CompassOperators.Compass135() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators.Compass135: Default constructor
CompassOperators.Compass45 - Class in org.openimaj.image.processing.convolution: The Compass45 operator
CompassOperators.Compass45() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators.Compass45: Default constructor
CompassOperators.Compass90 - Class in org.openimaj.image.processing.convolution: The Compass90 operator
CompassOperators.Compass90() - Constructor for class org.openimaj.image.processing.convolution.CompassOperators.Compass90: Default constructor
CompassSerialReader - Class in org.openimaj.hardware.compass: This class is used to read data from the Ocean Server serial compass.
CompassSerialReader(String) - Constructor for class org.openimaj.hardware.compass.CompassSerialReader: Constructor that takes the serial port name on which the compass is putting its data.
complete() - Method in class org.openimaj.content.animation.animator.AbstractValueAnimator
complete() - Method in class org.openimaj.content