BagOfVisualWordsCreateTDetector, TClustering, TFeature Method (TDetector, TClustering)

Creates a Bag-of-Words model using the given feature detector and clustering algorithm.

Namespace: Accord.Imaging
Assembly: Accord.Vision (in Accord.Vision.dll) Version: 3.6.0

Syntax

public static BagOfVisualWords<IFeatureDescriptor<TFeature>, TFeature, TClustering, TDetector> Create<TDetector, TClustering, TFeature>(
	TDetector detector,
	TClustering clustering
)
where TDetector : Object, IFeatureDetector<IFeatureDescriptor<TFeature>, TFeature>
where TClustering : Object, IUnsupervisedLearning<IClassifier<TFeature, int>, TFeature, int>

Public Shared Function Create(Of TDetector As {Object, IFeatureDetector(Of IFeatureDescriptor(Of TFeature), TFeature)}, TClustering As {Object, IUnsupervisedLearning(Of IClassifier(Of TFeature, Integer), TFeature, Integer)}, TFeature) ( 
	detector As TDetector,
	clustering As TClustering
) As BagOfVisualWords(Of IFeatureDescriptor(Of TFeature), TFeature, TClustering, TDetector)

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Parameters

detector: Type: TDetector
clustering: Type: TClustering

Type Parameters

TDetector
TClustering
TFeature

Return Value

Type: BagOfVisualWordsIFeatureDescriptorTFeature, TFeature, TClustering, TDetector

Reference

BagOfVisualWords Class

Create Overload

Accord.Imaging Namespace