Uses of Class
org.openimaj.knn.pq.FloatProductQuantiser

Packages that use FloatProductQuantiser

Package	Description
org.openimaj.image.indexing.vlad
org.openimaj.knn.pq

Uses of FloatProductQuantiser in org.openimaj.image.indexing.vlad

Methods in org.openimaj.image.indexing.vlad that return FloatProductQuantiser

Modifier and Type	Method and Description
FloatProductQuantiser	VLADIndexerData.getProductQuantiser() Get the product quantiser

Constructors in org.openimaj.image.indexing.vlad with parameters of type FloatProductQuantiser

Constructor and Description
VLADIndexerData(VLAD<float[]> vlad, FeatureVectorPCA pca, FloatProductQuantiser pq, LocalFeatureExtractor<LocalFeature<?,?>,MBFImage> extractor, Function<List<? extends LocalFeature<?,?>>,List<FloatLocalFeatureAdaptor<?>>> postProcess) Construct with the given data

Uses of FloatProductQuantiser in org.openimaj.knn.pq

Fields in org.openimaj.knn.pq declared as FloatProductQuantiser

Modifier and Type	Field and Description
protected FloatProductQuantiser	FloatADCNearestNeighbours.pq
protected FloatProductQuantiser	IncrementalFloatADCNearestNeighbours.pq

Methods in org.openimaj.knn.pq that return FloatProductQuantiser

Modifier and Type	Method and Description
static FloatProductQuantiser	FloatProductQuantiserUtilities.train(float[][] data, int numAssigners, int nIter) Learn a FloatProductQuantiser by applying exact K-Means to sub-vectors extracted from the given data.
static FloatProductQuantiser	FloatProductQuantiserUtilities.train(float[][] data, int numAssigners, int K, int nIter) Learn a FloatProductQuantiser by applying exact K-Means to sub-vectors extracted from the given data.

Constructors in org.openimaj.knn.pq with parameters of type FloatProductQuantiser

Constructor and Description
FloatADCNearestNeighbours(FloatProductQuantiser pq, byte[][] pqData, int ndims) Construct the ADC with the given quantiser and pre-quantised data .
FloatADCNearestNeighbours(FloatProductQuantiser pq, float[][] dataPoints) Construct the ADC with the given quantiser and data points.
FloatSDCNearestNeighbours(FloatProductQuantiser pq, float[][][] pqCentroids, float[][] dataPoints) Construct the SDC with the given quantiser, centroids (corresponding to the quantiser's internal assigners), and data.
IncrementalFloatADCNearestNeighbours(FloatProductQuantiser pq, DataSource<float[]> dataPoints) Construct the ADC with the given quantiser and data points.
IncrementalFloatADCNearestNeighbours(FloatProductQuantiser pq, float[][] dataPoints) Construct the ADC with the given quantiser and data points.
IncrementalFloatADCNearestNeighbours(FloatProductQuantiser pq, int ndims) Construct an empty ADC with the given quantiser.
IncrementalFloatADCNearestNeighbours(FloatProductQuantiser pq, int ndims, int nitems) Construct an empty ADC with the given quantiser.
IncrementalFloatADCNearestNeighbours(FloatProductQuantiser pq, List<float[]> dataPoints) Construct the ADC with the given quantiser and data points.