Class computing a dense optical flow using the Gunnar Farneback’s algorithm. More...

#include "cudaoptflow.hpp"

Inheritance diagram for cv::cuda::FarnebackOpticalFlow:

Collaboration diagram for cv::cuda::FarnebackOpticalFlow:

Public Member Functions
virtual void	calc (InputArray I0, InputArray I1, InputOutputArray flow, Stream &stream=Stream::Null())=0
	Calculates a dense optical flow. More...

virtual void	clear ()
	Clears the algorithm state. More...

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. More...

virtual String	getDefaultName () const
	Returns the algorithm string identifier. More...

virtual bool	getFastPyramids () const =0

virtual int	getFlags () const =0

virtual int	getNumIters () const =0

virtual int	getNumLevels () const =0

virtual int	getPolyN () const =0

virtual double	getPolySigma () const =0

virtual double	getPyrScale () const =0

virtual int	getWinSize () const =0

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...

virtual void	save (const String &filename) const
	Saves the algorithm to a file. More...

virtual void	setFastPyramids (bool fastPyramids)=0

virtual void	setFlags (int flags)=0

virtual void	setNumIters (int numIters)=0

virtual void	setNumLevels (int numLevels)=0

virtual void	setPolyN (int polyN)=0

virtual void	setPolySigma (double polySigma)=0

virtual void	setPyrScale (double pyrScale)=0

virtual void	setWinSize (int winSize)=0

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

Static Public Member Functions
static Ptr< FarnebackOpticalFlow >	create (int numLevels=5, double pyrScale=0.5, bool fastPyramids=false, int winSize=13, int numIters=10, int polyN=5, double polySigma=1.1, int flags=0)

template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file. More...

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Protected Member Functions
void	writeFormat (FileStorage &fs) const

Detailed Description

Class computing a dense optical flow using the Gunnar Farneback’s algorithm.

Member Function Documentation

virtual void cv::cuda::DenseOpticalFlow::calc	(	InputArray	I0,
		InputArray	I1,
		InputOutputArray	flow,
		Stream &	stream = `Stream::Null()`
	)

pure virtualinherited

Calculates a dense optical flow.

Parameters

I0	first input image.
I1	second input image of the same size and the same type as I0.
flow	computed flow image that has the same size as I0 and type CV_32FC2.
stream	Stream for the asynchronous version.

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::cuda::DescriptorMatcher.

static Ptr<FarnebackOpticalFlow> cv::cuda::FarnebackOpticalFlow::create	(	int	numLevels = `5`,
		double	pyrScale = `0.5`,
		bool	fastPyramids = `false`,
		int	winSize = `13`,
		int	numIters = `10`,
		int	polyN = `5`,
		double	polySigma = `1.1`,
		int	flags = `0`
	)

static

virtual bool cv::Algorithm::empty ( ) const

inlinevirtualinherited

Returns true if the Algorithm is empty (e.g.

in the very beginning or after unsuccessful read

Reimplemented in cv::DescriptorMatcher, cv::ml::StatModel, cv::Feature2D, cv::BaseCascadeClassifier, and cv::cuda::DescriptorMatcher.

virtual String cv::Algorithm::getDefaultName ( ) const

virtualinherited

Returns the algorithm string identifier.

This string is used as top level xml/yml node tag when the object is saved to a file or string.

virtual bool cv::cuda::FarnebackOpticalFlow::getFastPyramids ( ) const

pure virtual

virtual int cv::cuda::FarnebackOpticalFlow::getFlags ( ) const

pure virtual

virtual int cv::cuda::FarnebackOpticalFlow::getNumIters ( ) const

pure virtual

virtual int cv::cuda::FarnebackOpticalFlow::getNumLevels ( ) const

pure virtual

virtual int cv::cuda::FarnebackOpticalFlow::getPolyN ( ) const

pure virtual

virtual double cv::cuda::FarnebackOpticalFlow::getPolySigma ( ) const

pure virtual

virtual double cv::cuda::FarnebackOpticalFlow::getPyrScale ( ) const

pure virtual

virtual int cv::cuda::FarnebackOpticalFlow::getWinSize ( ) const

pure virtual

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::load	(	const String &	filename,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from the file.

Parameters

filename	Name of the file to read.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

References cv::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), and cv::FileStorage::READ.

Here is the call graph for this function:

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::loadFromString	(	const String &	strModel,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from a String.

Parameters

strModel	The string variable containing the model you want to load.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

References CV_WRAP, cv::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

Here is the call graph for this function:

virtual void cv::Algorithm::read ( const FileNode & fn )

inlinevirtualinherited

Reads algorithm parameters from a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::read ( const FileNode & fn )

inlinestaticinherited

Reads algorithm from the file node.

This is static template method of Algorithm. It's usage is following (in the case of SVM):

cv::FileStorage fsRead("example.xml", FileStorage::READ);

Ptr<SVM> svm = Algorithm::read<SVM>(fsRead.root());

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)

References cv::Ptr< T >::empty().

Here is the call graph for this function:

virtual void cv::Algorithm::save ( const String & filename ) const

virtualinherited

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

virtual void cv::cuda::FarnebackOpticalFlow::setFastPyramids ( bool fastPyramids )

pure virtual

virtual void cv::cuda::FarnebackOpticalFlow::setFlags ( int flags )

pure virtual

virtual void cv::cuda::FarnebackOpticalFlow::setNumIters ( int numIters )

pure virtual

virtual void cv::cuda::FarnebackOpticalFlow::setNumLevels ( int numLevels )

pure virtual

virtual void cv::cuda::FarnebackOpticalFlow::setPolyN ( int polyN )

pure virtual

virtual void cv::cuda::FarnebackOpticalFlow::setPolySigma ( double polySigma )

pure virtual

virtual void cv::cuda::FarnebackOpticalFlow::setPyrScale ( double pyrScale )

pure virtual

virtual void cv::cuda::FarnebackOpticalFlow::setWinSize ( int winSize )

pure virtual

virtual void cv::Algorithm::write ( FileStorage & fs ) const

inlinevirtualinherited

Stores algorithm parameters in a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

void cv::Algorithm::writeFormat ( FileStorage & fs ) const

protectedinherited

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

cudaoptflow/include/opencv2/cudaoptflow.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation