Method | Description | |
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Add ( OpenCvSharp.Mat descriptors ) : void |
Adds descriptors to a training set.
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Clear ( ) : void |
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Cluster ( ) : OpenCvSharp.Mat |
Clusters train descriptors.
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Cluster ( OpenCvSharp.Mat descriptors ) : OpenCvSharp.Mat |
Clusters train descriptors.
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DescriptorsCount ( ) : int |
Returns the count of all descriptors stored in the training set.
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GetDescriptors ( ) : OpenCvSharp.Mat[] |
Returns a training set of descriptors.
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public Add ( OpenCvSharp.Mat descriptors ) : void | ||
descriptors | OpenCvSharp.Mat | descriptors Descriptors to add to a training set. Each row of the descriptors matrix is a descriptor. /// The training set is clustered using clustermethod to construct the vocabulary. |
return | void |
public abstract Cluster ( ) : OpenCvSharp.Mat | ||
return | OpenCvSharp.Mat |
public abstract Cluster ( OpenCvSharp.Mat descriptors ) : OpenCvSharp.Mat | ||
descriptors | OpenCvSharp.Mat | Descriptors to cluster. Each row of the descriptors matrix is a descriptor. Descriptors are not added to the inner train descriptor set. /// The vocabulary consists of cluster centers. So, this method returns the vocabulary. In the first variant of the method, train descriptors stored in the object /// are clustered.In the second variant, input descriptors are clustered. |
return | OpenCvSharp.Mat |
public GetDescriptors ( ) : OpenCvSharp.Mat[] | ||
return | OpenCvSharp.Mat[] |