cv::FarnebackOpticalFlow 类参考

使用 Gunnar Farneback 算法计算密集光流的类。 更多...

#include <opencv2/video/tracking.hpp>

cv::FarnebackOpticalFlow 的协作图

公共成员函数
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	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
从 cv::DenseOpticalFlow 继承的公共成员函数
virtual void	calc (InputArray I0, InputArray I1, InputOutputArray flow)=0
	计算光流。
virtual void	collectGarbage ()=0
	释放所有内部缓冲区。
从 cv::Algorithm 继承的公共成员函数
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	清除算法状态。
virtual bool	empty () const
	如果 Algorithm 为空（例如，在最开始或读取不成功后），则返回 true。
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	从文件存储区读取算法参数。
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	将算法参数存储到文件存储区。
void	write (FileStorage &fs, const String &name) const

静态公共成员函数
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)
从 cv::Algorithm 继承的静态公共成员函数
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	从文件中加载算法。
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	从字符串中加载算法。
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	从文件节点中读取算法。

其他继承的成员
从 cv::Algorithm 继承的受保护成员函数
void	writeFormat (FileStorage &fs) const

详细描述

使用 Gunnar Farneback 算法计算密集光流的类。

成员函数文档

create()

static Ptr< FarnebackOpticalFlow > cv::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

Python
	cv.FarnebackOpticalFlow.create(	[, numLevels[, pyrScale[, fastPyramids[, winSize[, numIters[, polyN[, polySigma[, flags]]]]]]]]	) ->	retval
	cv.FarnebackOpticalFlow_create(	[, numLevels[, pyrScale[, fastPyramids[, winSize[, numIters[, polyN[, polySigma[, flags]]]]]]]]	) ->	retval

getFastPyramids()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.getFastPyramids(		) ->	retval

getFlags()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.getFlags(		) ->	retval

getNumIters()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.getNumIters(		) ->	retval

getNumLevels()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.getNumLevels(		) ->	retval

getPolyN()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.getPolyN(		) ->	retval

getPolySigma()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.getPolySigma(		) ->	retval

getPyrScale()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.getPyrScale(		) ->	retval

getWinSize()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.getWinSize(		) ->	retval

setFastPyramids()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.setFastPyramids(	fastPyramids	) ->	None

setFlags()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.setFlags(	flags	) ->	None

setNumIters()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.setNumIters(	numIters	) ->	None

setNumLevels()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.setNumLevels(	numLevels	) ->	None

setPolyN()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.setPolyN(	polyN	) ->	None

setPolySigma()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.setPolySigma(	polySigma	) ->	None

setPyrScale()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.setPyrScale(	pyrScale	) ->	None

setWinSize()

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

纯虚函数

Python
	cv.FarnebackOpticalFlow.setWinSize(	winSize	) ->	None

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该类的文档是从以下文件生成的

• opencv2/video/tracking.hpp