Class computing the optical flow for two images using Brox et al Optical Flow algorithm ([12]). More...

#include "cudaoptflow.hpp"

Inheritance diagram for cv::cuda::BroxOpticalFlow:

Collaboration diagram for cv::cuda::BroxOpticalFlow:

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 double	getFlowSmoothness () const =0

virtual double	getGradientConstancyImportance () const =0

virtual int	getInnerIterations () const =0
	number of lagged non-linearity iterations (inner loop) More...

virtual int	getOuterIterations () const =0
	number of warping iterations (number of pyramid levels) More...

virtual double	getPyramidScaleFactor () const =0

virtual int	getSolverIterations () const =0
	number of linear system solver iterations More...

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	setFlowSmoothness (double alpha)=0

virtual void	setGradientConstancyImportance (double gamma)=0

virtual void	setInnerIterations (int inner_iterations)=0

virtual void	setOuterIterations (int outer_iterations)=0

virtual void	setPyramidScaleFactor (double scale_factor)=0

virtual void	setSolverIterations (int solver_iterations)=0

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

Static Public Member Functions
static Ptr< BroxOpticalFlow >	create (double alpha=0.197, double gamma=50.0, double scale_factor=0.8, int inner_iterations=5, int outer_iterations=150, int solver_iterations=10)

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 the optical flow for two images using Brox et al Optical Flow algorithm ([12]).

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<BroxOpticalFlow> cv::cuda::BroxOpticalFlow::create	(	double	alpha = `0.197`,
		double	gamma = `50.0`,
		double	scale_factor = `0.8`,
		int	inner_iterations = `5`,
		int	outer_iterations = `150`,
		int	solver_iterations = `10`
	)

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 double cv::cuda::BroxOpticalFlow::getFlowSmoothness ( ) const

pure virtual

virtual double cv::cuda::BroxOpticalFlow::getGradientConstancyImportance ( ) const

pure virtual

virtual int cv::cuda::BroxOpticalFlow::getInnerIterations ( ) const

pure virtual

number of lagged non-linearity iterations (inner loop)

virtual int cv::cuda::BroxOpticalFlow::getOuterIterations ( ) const

pure virtual

number of warping iterations (number of pyramid levels)

virtual double cv::cuda::BroxOpticalFlow::getPyramidScaleFactor ( ) const

pure virtual

virtual int cv::cuda::BroxOpticalFlow::getSolverIterations ( ) const

pure virtual

number of linear system solver iterations

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::BroxOpticalFlow::setFlowSmoothness ( double alpha )

pure virtual

virtual void cv::cuda::BroxOpticalFlow::setGradientConstancyImportance ( double gamma )

pure virtual

virtual void cv::cuda::BroxOpticalFlow::setInnerIterations ( int inner_iterations )

pure virtual

virtual void cv::cuda::BroxOpticalFlow::setOuterIterations ( int outer_iterations )

pure virtual

virtual void cv::cuda::BroxOpticalFlow::setPyramidScaleFactor ( double scale_factor )

pure virtual

virtual void cv::cuda::BroxOpticalFlow::setSolverIterations ( int solver_iterations )

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