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BagOfVisualWordsCreateTDetector, TClustering Method (TDetector, TClustering)
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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
Syntaxpublic static BagOfVisualWords<IFeatureDescriptor<double[]>, double[], TClustering, TDetector> Create<TDetector, TClustering>(
TDetector detector,
TClustering clustering
)
where TDetector : Object, IFeatureDetector<IFeatureDescriptor<double[]>, double[]>
where TClustering : Object, IUnsupervisedLearning<IClassifier<double[], int>, double[], int>
Public Shared Function Create(Of TDetector As {Object, IFeatureDetector(Of IFeatureDescriptor(Of Double()), Double())}, TClustering As {Object, IUnsupervisedLearning(Of IClassifier(Of Double(), Integer), Double(), Integer)}) (
detector As TDetector,
clustering As TClustering
) As BagOfVisualWords(Of IFeatureDescriptor(Of Double()), Double(), TClustering, TDetector) Request Example
View SourceParameters
- detector
- Type: TDetector
- clustering
- Type: TClustering
Type Parameters
- TDetector
- TClustering
Return Value
Type:
BagOfVisualWordsIFeatureDescriptorDouble,
Double,
TClustering,
TDetector
See Also