Abstract base class for stateful silhouette trackers. More...

#include <opencv2/rapid.hpp>

Collaboration diagram for cv::rapid::Tracker:

Public Member Functions
virtual	~Tracker ()

virtual void	clearState ()=0

virtual float	compute (InputArray img, int num, int len, InputArray K, InputOutputArray rvec, InputOutputArray tvec, const TermCriteria &termcrit=TermCriteria(TermCriteria::MAX_ITER\|TermCriteria::EPS, 5, 1.5))=0

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

Additional Inherited Members
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.

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

Detailed Description

Abstract base class for stateful silhouette trackers.

Constructor & Destructor Documentation

virtual cv::rapid::Tracker::~Tracker ( )

virtual

virtual void cv::rapid::Tracker::clearState ( )

pure virtual

Python:
	cv.rapid.Tracker.clearState(		) ->	None

virtual float cv::rapid::Tracker::compute	(	InputArray	img,
		int	num,
		int	len,
		InputArray	K,
		InputOutputArray	rvec,
		InputOutputArray	tvec,
		const TermCriteria &	termcrit = `TermCriteria(TermCriteria::MAX_ITER\|TermCriteria::EPS, 5, 1.5)`
	)

pure virtual

Python:
	cv.rapid.Tracker.compute(	img, num, len, K, rvec, tvec[, termcrit]	) ->	retval, rvec, tvec

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