Base class for circles detector algorithm. More...

#include "cudaimgproc.hpp"

Inheritance diagram for cv::cuda::HoughCirclesDetector:

Collaboration diagram for cv::cuda::HoughCirclesDetector:

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

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

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

virtual int	getCannyThreshold () const =0

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

virtual float	getDp () const =0

virtual int	getMaxCircles () const =0

virtual int	getMaxRadius () const =0

virtual float	getMinDist () const =0

virtual int	getMinRadius () const =0

virtual int	getVotesThreshold () 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	setCannyThreshold (int cannyThreshold)=0

virtual void	setDp (float dp)=0

virtual void	setMaxCircles (int maxCircles)=0

virtual void	setMaxRadius (int maxRadius)=0

virtual void	setMinDist (float minDist)=0

virtual void	setMinRadius (int minRadius)=0

virtual void	setVotesThreshold (int votesThreshold)=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 circles 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::HoughCirclesDetector::detect	(	InputArray	src,
		OutputArray	circles,
		Stream &	stream = `Stream::Null()`
	)

pure virtual

Finds circles in a grayscale image using the Hough transform.

Parameters

src	8-bit, single-channel grayscale input image.
circles	Output vector of found circles. Each vector is encoded as a 3-element floating-point vector \((x, y, radius)\) .
stream	Stream for the asynchronous version.

See also: HoughCircles

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 int cv::cuda::HoughCirclesDetector::getCannyThreshold ( ) const

pure virtual

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 float cv::cuda::HoughCirclesDetector::getDp ( ) const

pure virtual

virtual int cv::cuda::HoughCirclesDetector::getMaxCircles ( ) const

pure virtual

virtual int cv::cuda::HoughCirclesDetector::getMaxRadius ( ) const

pure virtual

virtual float cv::cuda::HoughCirclesDetector::getMinDist ( ) const

pure virtual

virtual int cv::cuda::HoughCirclesDetector::getMinRadius ( ) const

pure virtual

virtual int cv::cuda::HoughCirclesDetector::getVotesThreshold ( ) 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::HoughCirclesDetector::setCannyThreshold ( int cannyThreshold )

pure virtual

virtual void cv::cuda::HoughCirclesDetector::setDp ( float dp )

pure virtual

virtual void cv::cuda::HoughCirclesDetector::setMaxCircles ( int maxCircles )

pure virtual

virtual void cv::cuda::HoughCirclesDetector::setMaxRadius ( int maxRadius )

pure virtual

virtual void cv::cuda::HoughCirclesDetector::setMinDist ( float minDist )

pure virtual

virtual void cv::cuda::HoughCirclesDetector::setMinRadius ( int minRadius )

pure virtual

virtual void cv::cuda::HoughCirclesDetector::setVotesThreshold ( int votesThreshold )

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