Class cv::optflow::GPCTrainingSamples#

Class encapsulating training samples.

#include <opencv2/optflow/sparse_matching_gpc.hpp>

Collaboration diagram for cv::optflow::GPCTrainingSamples:

cv::optflow::GPCTrainingSamples Node1 cv::optflow::GPCTraining Samples   + operator GPCSamplesVector &() + size() + type() + create() + create()

cv::optflow::GPCTrainingSamples Node1 cv::optflow::GPCTraining Samples   + operator GPCSamplesVector &() + size() + type() + create() + create()

Detailed Description#

Class encapsulating training samples.

Member Function Documentation#

create()#

static Ptr< GPCTrainingSamples > cv::optflow::GPCTrainingSamples::create(
const std::vector< String > & imagesFrom,
const std::vector< String > & imagesTo,
const std::vector< String > & gt,
int descriptorType )

This function can be used to extract samples from a pair of images and a ground truth flow. Sizes of all the provided vectors must be equal.

create()#

static Ptr< GPCTrainingSamples > cv::optflow::GPCTrainingSamples::create(
InputArrayOfArrays imagesFrom,
InputArrayOfArrays imagesTo,
InputArrayOfArrays gt,
int descriptorType )

operator GPCSamplesVector &()#

cv::optflow::GPCTrainingSamples::operator GPCSamplesVector &()

size()#

size_t cv::optflow::GPCTrainingSamples::size()

type()#

int cv::optflow::GPCTrainingSamples::type()

Member Data Documentation#

descriptorType#

int cv::optflow::GPCTrainingSamples::descriptorType

samples#

GPCSamplesVector cv::optflow::GPCTrainingSamples::samples

Source file#

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