Class encapsulating training parameters. More...

#include <opencv2/optflow/sparse_matching_gpc.hpp>

Public Member Functions
	GPCTrainingParams (unsigned _maxTreeDepth=20, int _minNumberOfSamples=3, GPCDescType _descriptorType=GPC_DESCRIPTOR_DCT, bool _printProgress=true)

	GPCTrainingParams (const GPCTrainingParams &params)

bool	check () const

Public Attributes
int	descriptorType
	Type of descriptors to use.

unsigned	maxTreeDepth
	Maximum tree depth to stop partitioning.

int	minNumberOfSamples
	Minimum number of samples in the node to stop partitioning.

bool	printProgress
	Print progress to stdout.

Detailed Description

Class encapsulating training parameters.

Constructor & Destructor Documentation

cv::optflow::GPCTrainingParams::GPCTrainingParams	(	unsigned	_maxTreeDepth = `20`,
		int	_minNumberOfSamples = `3`,
		GPCDescType	_descriptorType = `GPC_DESCRIPTOR_DCT`,
		bool	_printProgress = `true`
	)

inline

cv::optflow::GPCTrainingParams::GPCTrainingParams ( const GPCTrainingParams & params )

inline

bool cv::optflow::GPCTrainingParams::check ( ) const

inline

int cv::optflow::GPCTrainingParams::descriptorType

Type of descriptors to use.

unsigned cv::optflow::GPCTrainingParams::maxTreeDepth

Maximum tree depth to stop partitioning.

int cv::optflow::GPCTrainingParams::minNumberOfSamples

Minimum number of samples in the node to stop partitioning.

bool cv::optflow::GPCTrainingParams::printProgress

Print progress to stdout.

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