cv::HOGDescriptor メンバ一覧

継承メンバを含む cv::HOGDescriptor の全メンバ一覧です。

blockSize	cv::HOGDescriptor
blockStride	cv::HOGDescriptor
cellSize	cv::HOGDescriptor
checkDetectorSize() const	cv::HOGDescriptor
compute(InputArray img, CV_OUT std::vector< float > &descriptors, Size winStride=Size(), Size padding=Size(), const std::vector< Point > &locations=std::vector< Point >()) const	cv::HOGDescriptor	virtual
computeGradient(InputArray img, InputOutputArray grad, InputOutputArray angleOfs, Size paddingTL=Size(), Size paddingBR=Size()) const	cv::HOGDescriptor	virtual
copyTo(HOGDescriptor &c) const	cv::HOGDescriptor	virtual
DEFAULT_NLEVELS 列挙値	cv::HOGDescriptor
derivAperture	cv::HOGDescriptor
DESCR_FORMAT_COL_BY_COL 列挙値 (定義場所: cv::HOGDescriptor)	cv::HOGDescriptor
DESCR_FORMAT_ROW_BY_ROW 列挙値 (定義場所: cv::HOGDescriptor)	cv::HOGDescriptor
DescriptorStorageFormat 列挙名 (定義場所: cv::HOGDescriptor)	cv::HOGDescriptor
detect(InputArray img, CV_OUT std::vector< Point > &foundLocations, CV_OUT std::vector< double > &weights, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), const std::vector< Point > &searchLocations=std::vector< Point >()) const	cv::HOGDescriptor	virtual
detect(InputArray img, CV_OUT std::vector< Point > &foundLocations, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), const std::vector< Point > &searchLocations=std::vector< Point >()) const	cv::HOGDescriptor	virtual
detectMultiScale(InputArray img, CV_OUT std::vector< Rect > &foundLocations, CV_OUT std::vector< double > &foundWeights, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), double scale=1.05, double finalThreshold=2.0, bool useMeanshiftGrouping=false) const	cv::HOGDescriptor	virtual
detectMultiScale(InputArray img, CV_OUT std::vector< Rect > &foundLocations, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), double scale=1.05, double finalThreshold=2.0, bool useMeanshiftGrouping=false) const	cv::HOGDescriptor	virtual
detectMultiScaleROI(InputArray img, CV_OUT std::vector< cv::Rect > &foundLocations, std::vector< DetectionROI > &locations, double hitThreshold=0, int groupThreshold=0) const	cv::HOGDescriptor	virtual
detectROI(InputArray img, const std::vector< cv::Point > &locations, CV_OUT std::vector< cv::Point > &foundLocations, CV_OUT std::vector< double > &confidences, double hitThreshold=0, cv::Size winStride=Size(), cv::Size padding=Size()) const	cv::HOGDescriptor	virtual
free_coef	cv::HOGDescriptor
gammaCorrection	cv::HOGDescriptor
getDaimlerPeopleDetector()	cv::HOGDescriptor	static
getDefaultPeopleDetector()	cv::HOGDescriptor	static
getDescriptorSize() const	cv::HOGDescriptor
getWinSigma() const	cv::HOGDescriptor
groupRectangles(std::vector< cv::Rect > &rectList, std::vector< double > &weights, int groupThreshold, double eps) const	cv::HOGDescriptor
histogramNormType	cv::HOGDescriptor
HistogramNormType 列挙名	cv::HOGDescriptor
HOGDescriptor()	cv::HOGDescriptor	inline
HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture=1, double _winSigma=-1, HOGDescriptor::HistogramNormType _histogramNormType=HOGDescriptor::L2Hys, double _L2HysThreshold=0.2, bool _gammaCorrection=false, int _nlevels=HOGDescriptor::DEFAULT_NLEVELS, bool _signedGradient=false)	cv::HOGDescriptor	inline
HOGDescriptor(const String &filename)	cv::HOGDescriptor	inline
HOGDescriptor(const HOGDescriptor &d)	cv::HOGDescriptor	inline
L2Hys 列挙値	cv::HOGDescriptor
L2HysThreshold	cv::HOGDescriptor
load(const String &filename, const String &objname=String())	cv::HOGDescriptor	virtual
nbins	cv::HOGDescriptor
nlevels	cv::HOGDescriptor
oclSvmDetector	cv::HOGDescriptor
read(FileNode &fn)	cv::HOGDescriptor	virtual
save(const String &filename, const String &objname=String()) const	cv::HOGDescriptor	virtual
setSVMDetector(InputArray svmdetector)	cv::HOGDescriptor	virtual
signedGradient	cv::HOGDescriptor
svmDetector	cv::HOGDescriptor
winSigma	cv::HOGDescriptor
winSize	cv::HOGDescriptor
write(FileStorage &fs, const String &objname) const	cv::HOGDescriptor	virtual
~HOGDescriptor()	cv::HOGDescriptor	inline virtual