用於使用 goodFeaturesToTrack 函式進行特徵檢測的包裝類。: 更多...

#include <opencv2/features2d.hpp>

cv::GFTTDetector 的協作圖

公共成員函式
virtual int	getBlockSize () const =0

virtual String	getDefaultName () const CV_OVERRIDE

virtual int	getGradientSize ()=0

virtual bool	getHarrisDetector () const =0

virtual double	getK () const =0

virtual int	getMaxFeatures () const =0

virtual double	getMinDistance () const =0

virtual double	getQualityLevel () const =0

virtual void	setBlockSize (int blockSize)=0

virtual void	setGradientSize (int gradientSize_)=0

virtual void	setHarrisDetector (bool val)=0

virtual void	setK (double k)=0

virtual void	setMaxFeatures (int maxFeatures)=0

virtual void	setMinDistance (double minDistance)=0

virtual void	setQualityLevel (double qlevel)=0

從 cv::Feature2D 繼承的公共成員函式
virtual	~Feature2D ()

virtual void	compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)
	計算影像（第一個變體）或影像集（第二個變體）中檢測到的一組關鍵點的描述符。

virtual void	compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)

virtual int	defaultNorm () const

virtual int	descriptorSize () const

virtual int	descriptorType () const

virtual void	detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	在影像（第一個變體）或影像集（第二個變體）中檢測關鍵點。

virtual void	detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())

virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)

virtual bool	empty () const CV_OVERRIDE
	如果檢測器物件為空，則返回 true。

virtual void	read (const FileNode &) CV_OVERRIDE
	從檔案儲存中讀取演算法引數。

void	read (const String &fileName)

void	write (const Ptr< FileStorage > &fs, const String &name) const

void	write (const String &fileName) const

virtual void	write (FileStorage &) const CV_OVERRIDE
	將演算法引數儲存到檔案儲存中。

void	write (FileStorage &fs, const String &name) const

從 cv::Algorithm 繼承的公共成員函式
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	清除演算法狀態。

virtual void	save (const String &filename) const

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

void	write (FileStorage &fs, const String &name) const

靜態公共成員函式
static Ptr< GFTTDetector >	create (int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector=false, double k=0.04)

static Ptr< GFTTDetector >	create (int maxCorners=1000, double qualityLevel=0.01, double minDistance=1, int blockSize=3, bool useHarrisDetector=false, double k=0.04)

從 cv::Algorithm 繼承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。

附加繼承成員
從 cv::Algorithm 繼承的保護成員函式
void	writeFormat (FileStorage &fs) const

詳細描述

用於使用 goodFeaturesToTrack 函式進行特徵檢測的包裝類。

成員函式文件

◆ create() [1/2]

static Ptr< GFTTDetector > cv::GFTTDetector::create	(	int	maxCorners,
		double	qualityLevel,
		double	minDistance,
		int	blockSize,
		int	gradiantSize,
		bool	useHarrisDetector = false,
		double	k = 0.04 )

static


cv.GFTTDetector.create(	[, maxCorners[, qualityLevel[, minDistance[, blockSize[, useHarrisDetector[, k]]]]]]	) ->	retval
cv.GFTTDetector.create(	maxCorners, qualityLevel, minDistance, blockSize, gradiantSize[, useHarrisDetector[, k]]	) ->	retval
cv.GFTTDetector_create(	[, maxCorners[, qualityLevel[, minDistance[, blockSize[, useHarrisDetector[, k]]]]]]	) ->	retval
cv.GFTTDetector_create(	maxCorners, qualityLevel, minDistance, blockSize, gradiantSize[, useHarrisDetector[, k]]	) ->	retval

◆ create() [2/2]

static Ptr< GFTTDetector > cv::GFTTDetector::create	(	int	maxCorners = 1000,
		double	qualityLevel = 0.01,
		double	minDistance = 1,
		int	blockSize = 3,
		bool	useHarrisDetector = false,
		double	k = 0.04 )

static


cv.GFTTDetector.create(	[, maxCorners[, qualityLevel[, minDistance[, blockSize[, useHarrisDetector[, k]]]]]]	) ->	retval
cv.GFTTDetector.create(	maxCorners, qualityLevel, minDistance, blockSize, gradiantSize[, useHarrisDetector[, k]]	) ->	retval
cv.GFTTDetector_create(	[, maxCorners[, qualityLevel[, minDistance[, blockSize[, useHarrisDetector[, k]]]]]]	) ->	retval
cv.GFTTDetector_create(	maxCorners, qualityLevel, minDistance, blockSize, gradiantSize[, useHarrisDetector[, k]]	) ->	retval

◆ getBlockSize()

virtual int cv::GFTTDetector::getBlockSize ( ) const

純虛擬函式

Python
	cv.GFTTDetector.getBlockSize(		) ->	retval

◆ getDefaultName()

virtual String cv::GFTTDetector::getDefaultName ( ) const

virtual

Python
	cv.GFTTDetector.getDefaultName(		) ->	retval

返回演算法字串識別符號。當物件儲存到檔案或字串時，此字串用作頂級 xml/yml 節點標記。

從 cv::Feature2D 重新實現。

◆ getGradientSize()

virtual int cv::GFTTDetector::getGradientSize ( )

純虛擬函式

Python
	cv.GFTTDetector.getGradientSize(		) ->	retval

◆ getHarrisDetector()

virtual bool cv::GFTTDetector::getHarrisDetector ( ) const

純虛擬函式

Python
	cv.GFTTDetector.getHarrisDetector(		) ->	retval

◆ getK()

virtual double cv::GFTTDetector::getK ( ) const

純虛擬函式

Python
	cv.GFTTDetector.getK(		) ->	retval

◆ getMaxFeatures()

virtual int cv::GFTTDetector::getMaxFeatures ( ) const

純虛擬函式

Python
	cv.GFTTDetector.getMaxFeatures(		) ->	retval

◆ getMinDistance()

virtual double cv::GFTTDetector::getMinDistance ( ) const

純虛擬函式

Python
	cv.GFTTDetector.getMinDistance(		) ->	retval

◆ getQualityLevel()

virtual double cv::GFTTDetector::getQualityLevel ( ) const

純虛擬函式

Python
	cv.GFTTDetector.getQualityLevel(		) ->	retval

◆ setBlockSize()

virtual void cv::GFTTDetector::setBlockSize ( int blockSize )

純虛擬函式

Python
	cv.GFTTDetector.setBlockSize(	blockSize	) ->	無

◆ setGradientSize()

virtual void cv::GFTTDetector::setGradientSize ( int gradientSize_ )

純虛擬函式

Python
	cv.GFTTDetector.setGradientSize(	gradientSize_	) ->	無

◆ setHarrisDetector()

virtual void cv::GFTTDetector::setHarrisDetector ( bool val )

純虛擬函式

Python
	cv.GFTTDetector.setHarrisDetector(	val	) ->	無

◆ setK()

virtual void cv::GFTTDetector::setK ( double k )

純虛擬函式

Python
	cv.GFTTDetector.setK(	k	) ->	無

◆ setMaxFeatures()

virtual void cv::GFTTDetector::setMaxFeatures ( int maxFeatures )

純虛擬函式

Python
	cv.GFTTDetector.setMaxFeatures(	maxFeatures	) ->	無

◆ setMinDistance()

virtual void cv::GFTTDetector::setMinDistance ( double minDistance )

純虛擬函式

Python
	cv.GFTTDetector.setMinDistance(	minDistance	) ->	無

◆ setQualityLevel()

virtual void cv::GFTTDetector::setQualityLevel ( double qlevel )

純虛擬函式

Python
	cv.GFTTDetector.setQualityLevel(	qlevel	) ->	無

此類的文件是從以下檔案生成的

opencv2/features2d.hpp

公共成員函式

靜態公共成員函式

附加繼承成員

詳細描述

成員函式文件

◆ create() [1/2]

◆ create() [2/2]

◆ getBlockSize()

◆ getDefaultName()

◆ getGradientSize()

◆ getHarrisDetector()

◆ getK()

◆ getMaxFeatures()

◆ getMinDistance()

◆ getQualityLevel()

◆ setBlockSize()

◆ setGradientSize()

◆ setHarrisDetector()

◆ setK()

◆ setMaxFeatures()

◆ setMinDistance()

◆ setQualityLevel()