BagOfVisualWordsTPoint, TFeature, TClustering, TExtractor Properties |
The BagOfVisualWordsTPoint, TFeature, TClustering, TExtractor generic type exposes the following members.
Name | Description | |
---|---|---|
Clustering |
Gets the clustering algorithm used to create this model.
(Inherited from BaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput.) | |
Detector |
Gets the feature extractor used to identify features in the input data.
(Inherited from BaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput.) | |
MaxDescriptorsPerInstance |
Gets or sets the maximum number of descriptors per image that should be
used to learn the codebook. Default is 0 (meaning to use all descriptors).
(Inherited from BaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput.) | |
NumberOfDescriptors |
Gets or sets the maximum number of descriptors that should be used
to learn the codebook. Default is 0 (meaning to use all descriptors).
(Inherited from BaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput.) | |
NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from BaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput.) | |
NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from BaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput.) | |
NumberOfWords |
Gets the number of words in this codebook.
(Inherited from BaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput.) | |
ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.) | |
Statistics |
Gets statistics about the last codebook learned.
(Inherited from BaseBagOfWordsTModel, TPoint, TFeature, TClustering, TExtractor, TInput.) | |
Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.) |