cv::BOWKMeansTrainer Class Reference

kmeans -based class to train visual vocabulary using the bag of visual words approach. : More...

#include <features2d.hpp>

Inheritance diagram for cv::BOWKMeansTrainer:

Public Member Functions
CV_WRAP	BOWKMeansTrainer (int clusterCount, const TermCriteria &termcrit=TermCriteria(), int attempts=3, int flags=KMEANS_PP_CENTERS)
	The constructor. More...
virtual	~BOWKMeansTrainer ()
virtual CV_WRAP Mat	cluster () const CV_OVERRIDE
virtual CV_WRAP Mat	cluster (const Mat &descriptors) const CV_OVERRIDE
	Clusters train descriptors. More...
Public Member Functions inherited from cv::BOWTrainer
	BOWTrainer ()
virtual	~BOWTrainer ()
CV_WRAP void	add (const Mat &descriptors)
	Adds descriptors to a training set. More...
CV_WRAP const std::vector< Mat > &	getDescriptors () const
	Returns a training set of descriptors. More...
CV_WRAP int	descriptorsCount () const
	Returns the count of all descriptors stored in the training set. More...
virtual CV_WRAP void	clear ()

Protected Attributes
int	clusterCount
TermCriteria	termcrit
int	attempts
int	flags
Protected Attributes inherited from cv::BOWTrainer
std::vector< Mat >	descriptors
int	size

Detailed Description

kmeans -based class to train visual vocabulary using the bag of visual words approach. :

Constructor & Destructor Documentation

BOWKMeansTrainer()

CV_WRAP cv::BOWKMeansTrainer::BOWKMeansTrainer	(	int	clusterCount,
		const TermCriteria &	termcrit = TermCriteria(),
		int	attempts = 3,
		int	flags = KMEANS_PP_CENTERS
	)

The constructor.

See also

cv::kmeans

~BOWKMeansTrainer()

virtual cv::BOWKMeansTrainer::~BOWKMeansTrainer ( )

virtual

Member Function Documentation

cluster() [1/2]

virtual CV_WRAP Mat cv::BOWKMeansTrainer::cluster ( ) const

virtual

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Implements cv::BOWTrainer.

cluster() [2/2]

virtual CV_WRAP Mat cv::BOWKMeansTrainer::cluster ( const Mat &  descriptors ) const

virtual

Clusters train descriptors.

Parameters

descriptors

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.

Implements cv::BOWTrainer.

Member Data Documentation

attempts

int cv::BOWKMeansTrainer::attempts

protected

clusterCount

int cv::BOWKMeansTrainer::clusterCount

protected

flags

int cv::BOWKMeansTrainer::flags

protected

termcrit

TermCriteria cv::BOWKMeansTrainer::termcrit

protected

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The documentation for this class was generated from the following file:

• build/release/_deps/opencv-src/include/opencv4/opencv2/features2d.hpp