cv::FarnebackOpticalFlow 類參考

使用 Gunnar Farneback 演算法計算稠密光流的類。 更多...

#include <opencv2/video/tracking.hpp>

cv::FarnebackOpticalFlow 的協作圖

公共成員函式
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
繼承自 cv::DenseOpticalFlow 的公共成員函式
virtual void	calc (InputArray I0, InputArray I1, InputOutputArray flow)=0
	計算光流。
virtual void	collectGarbage ()=0
	釋放所有內部緩衝區。
繼承自 cv::Algorithm 的公共成員函式
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	清除演算法狀態。
virtual bool	empty () const
	如果 Algorithm 為空（例如，在剛開始或讀取不成功後），則返回 true。
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	從檔案儲存中讀取演算法引數。
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	將演算法引數儲存到檔案儲存中。
void	write (FileStorage &fs, const String &name) const

靜態公共成員函式
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)
繼承自 cv::Algorithm 的靜態公共成員函式
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	從檔案中載入演算法。
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	從字串載入演算法。
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	從檔案節點讀取演算法。

附加的繼承成員
繼承自 cv::Algorithm 的保護成員函式
void	writeFormat (FileStorage &fs) const

詳細描述

使用 Gunnar Farneback 演算法計算稠密光流的類。

成員函式文件

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.getFastPyramids(		) ->	retval

getFlags()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.getFlags(		) ->	retval

getNumIters()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.getNumIters(		) ->	retval

getNumLevels()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.getNumLevels(		) ->	retval

getPolyN()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.getPolyN(		) ->	retval

getPolySigma()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.getPolySigma(		) ->	retval

getPyrScale()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.getPyrScale(		) ->	retval

getWinSize()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.getWinSize(		) ->	retval

setFastPyramids()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.setFastPyramids(	fastPyramids	) ->	無

setFlags()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.setFlags(	flags	) ->	無

setNumIters()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.setNumIters(	numIters	) ->	無

setNumLevels()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.setNumLevels(	numLevels	) ->	無

setPolyN()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.setPolyN(	polyN	) ->	無

setPolySigma()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.setPolySigma(	polySigma	) ->	無

setPyrScale()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.setPyrScale(	pyrScale	) ->	無

setWinSize()

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

純虛擬函式

Python
	cv.FarnebackOpticalFlow.setWinSize(	winSize	) ->	無

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該類的文件由以下檔案生成

• opencv2/video/tracking.hpp