cv::optflow::GPCForest< T > Class Template Reference

#include <opencv2/optflow/sparse_matching_gpc.hpp>

Inheritance diagram for cv::optflow::GPCForest< T >:

Public Member Functions
void	findCorrespondences (InputArray imgFrom, InputArray imgTo, std::vector< std::pair< Point2i, Point2i > > &corr, const GPCMatchingParams params=GPCMatchingParams()) const
	Find correspondences between two images.
void	read (const FileNode &fn) CV_OVERRIDE
	Reads algorithm parameters from a file storage.
void	train (const std::vector< String > &imagesFrom, const std::vector< String > &imagesTo, const std::vector< String > &gt, const GPCTrainingParams params=GPCTrainingParams())
	Train the forest using individual samples for each tree. It is generally better to use this instead of the first method.
void	train (GPCTrainingSamples &samples, const GPCTrainingParams params=GPCTrainingParams())
	Train the forest using one sample set for every tree. Please, consider using the next method instead of this one for better quality.
void	train (InputArrayOfArrays imagesFrom, InputArrayOfArrays imagesTo, InputArrayOfArrays gt, const GPCTrainingParams params=GPCTrainingParams())
void	write (FileStorage &fs) const CV_OVERRIDE
	Stores algorithm parameters in a file storage.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< GPCForest >	create ()
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Member Function Documentation

create()

template<int T>

static Ptr< GPCForest > cv::optflow::GPCForest< T >::create ( )

inlinestatic

read()

template<int T>

void cv::optflow::GPCForest< T >::read ( const FileNode &  fn )

inlinevirtual

Reads algorithm parameters from a file storage.

Reimplemented from cv::Algorithm.

train() [1/3]

template<int T>

void cv::optflow::GPCForest< T >::train ( const std::vector< String > &  imagesFrom, const std::vector< String > &  imagesTo, const std::vector< String > &  gt, const GPCTrainingParams  params = GPCTrainingParams()  )

inline

Train the forest using individual samples for each tree. It is generally better to use this instead of the first method.

train() [2/3]

template<int T>

void cv::optflow::GPCForest< T >::train ( GPCTrainingSamples &  samples, const GPCTrainingParams  params = GPCTrainingParams()  )

inline

Train the forest using one sample set for every tree. Please, consider using the next method instead of this one for better quality.

train() [3/3]

template<int T>

void cv::optflow::GPCForest< T >::train ( InputArrayOfArrays  imagesFrom, InputArrayOfArrays  imagesTo, InputArrayOfArrays  gt, const GPCTrainingParams  params = GPCTrainingParams()  )

inline

write()

template<int T>

void cv::optflow::GPCForest< T >::write ( FileStorage &  fs ) const

inlinevirtual

Stores algorithm parameters in a file storage.

Reimplemented from cv::Algorithm.

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

• opencv2/optflow/sparse_matching_gpc.hpp