Base class for lines detector algorithm. More...

#include "cudaimgproc.hpp"

Inheritance diagram for cv::cuda::HoughLinesDetector:

Collaboration diagram for cv::cuda::HoughLinesDetector:

Public Member Functions
virtual void	clear ()
	Clears the algorithm state. More...

virtual void	detect (InputArray src, OutputArray lines, Stream &stream=Stream::Null())=0
	Finds lines in a binary image using the classical Hough transform. More...

virtual void	downloadResults (InputArray d_lines, OutputArray h_lines, OutputArray h_votes=noArray(), Stream &stream=Stream::Null())=0
	Downloads results from cuda::HoughLinesDetector::detect to host memory. 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	getDoSort () const =0

virtual int	getMaxLines () const =0

virtual float	getRho () const =0

virtual float	getTheta () const =0

virtual int	getThreshold () 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	setDoSort (bool doSort)=0

virtual void	setMaxLines (int maxLines)=0

virtual void	setRho (float rho)=0

virtual void	setTheta (float theta)=0

virtual void	setThreshold (int threshold)=0

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

Static Public Member Functions
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

Base class for lines detector algorithm.

:

Member Function Documentation

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

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

virtual void cv::cuda::HoughLinesDetector::detect	(	InputArray	src,
		OutputArray	lines,
		Stream &	stream = `Stream::Null()`
	)

pure virtual

Finds lines in a binary image using the classical Hough transform.

Parameters

src	8-bit, single-channel binary source image.
lines	Output vector of lines. Each line is represented by a two-element vector \((\rho, \theta)\) . \(\rho\) is the distance from the coordinate origin \((0,0)\) (top-left corner of the image). \(\theta\) is the line rotation angle in radians ( \(0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}\) ).
stream	Stream for the asynchronous version.

See also: HoughLines

virtual void cv::cuda::HoughLinesDetector::downloadResults	(	InputArray	d_lines,
		OutputArray	h_lines,
		OutputArray	h_votes = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

pure virtual

Downloads results from cuda::HoughLinesDetector::detect to host memory.

Parameters

d_lines	Result of cuda::HoughLinesDetector::detect .
h_lines	Output host array.
h_votes	Optional output array for line's votes.
stream	Stream for the asynchronous version.

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::HoughLinesDetector::getDoSort ( ) const

pure virtual

virtual int cv::cuda::HoughLinesDetector::getMaxLines ( ) const

pure virtual

virtual float cv::cuda::HoughLinesDetector::getRho ( ) const

pure virtual

virtual float cv::cuda::HoughLinesDetector::getTheta ( ) const

pure virtual

virtual int cv::cuda::HoughLinesDetector::getThreshold ( ) 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.

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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.

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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().

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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::HoughLinesDetector::setDoSort ( bool doSort )

pure virtual

virtual void cv::cuda::HoughLinesDetector::setMaxLines ( int maxLines )

pure virtual

virtual void cv::cuda::HoughLinesDetector::setRho ( float rho )

pure virtual

virtual void cv::cuda::HoughLinesDetector::setTheta ( float theta )

pure virtual

virtual void cv::cuda::HoughLinesDetector::setThreshold ( int threshold )

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:

cudaimgproc/include/opencv2/cudaimgproc.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation