C# Class OpenCvSharp.BOWTrainer

Brute-force descriptor matcher. For each descriptor in the first set, this matcher finds the closest descriptor in the second set by trying each one.

Inheritance: OpenCvSharp.DisposableCvObject

显示文件 Open project: shimat/opencvsharp

Public Methods

Method	Description
Add ( OpenCvSharp.Mat descriptors ) : void	Adds descriptors to a training set.
Clear ( ) : void
Cluster ( ) : OpenCvSharp.Mat	Clusters train descriptors.
Cluster ( OpenCvSharp.Mat descriptors ) : OpenCvSharp.Mat	Clusters train descriptors.
DescriptorsCount ( ) : int	Returns the count of all descriptors stored in the training set.
GetDescriptors ( ) : OpenCvSharp.Mat[]	Returns a training set of descriptors.

Adds descriptors to a training set.

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 Clear ( ) : void
return	void

Clusters train descriptors.

public abstract Cluster ( ) : OpenCvSharp.Mat
return	OpenCvSharp.Mat

Clusters train descriptors.

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

Returns the count of all descriptors stored in the training set.

public DescriptorsCount ( ) : int
return	int

Returns a training set of descriptors.

public GetDescriptors ( ) : OpenCvSharp.Mat[]
return	OpenCvSharp.Mat[]