cv::optflow::GPCTrainingParams Struct Reference

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. More...
unsigned	maxTreeDepth
	Maximum tree depth to stop partitioning. More...
int	minNumberOfSamples
	Minimum number of samples in the node to stop partitioning. More...
bool	printProgress
	Print progress to stdout. More...

Detailed Description

Class encapsulating training parameters.

Constructor & Destructor Documentation

GPCTrainingParams() [1/2]

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

inline

GPCTrainingParams() [2/2]

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

inline

Member Function Documentation

check()

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

inline

Member Data Documentation

descriptorType

int cv::optflow::GPCTrainingParams::descriptorType

Type of descriptors to use.

maxTreeDepth

unsigned cv::optflow::GPCTrainingParams::maxTreeDepth

Maximum tree depth to stop partitioning.

minNumberOfSamples

int cv::optflow::GPCTrainingParams::minNumberOfSamples

Minimum number of samples in the node to stop partitioning.

printProgress

bool cv::optflow::GPCTrainingParams::printProgress

Print progress to stdout.

---

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

• opencv2/optflow/sparse_matching_gpc.hpp