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BagOfVisualWordsTPoint, TFeature Properties |
The BagOfVisualWordsTPoint, TFeature generic type exposes the following members.
Properties| 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.) |
See Also