cv::HOGDescriptor Struct Reference

#include <objdetect.hpp>

Public Types
enum	{ L2Hys =0 }
enum	{ DEFAULT_NLEVELS =64 }

Public Member Functions
	HOGDescriptor ()
	HOGDescriptor (Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture=1, double _winSigma=-1, int _histogramNormType=HOGDescriptor::L2Hys, double _L2HysThreshold=0.2, bool _gammaCorrection=false, int _nlevels=HOGDescriptor::DEFAULT_NLEVELS)
	HOGDescriptor (const String &filename)
	HOGDescriptor (const HOGDescriptor &d)
virtual	~HOGDescriptor ()
size_t	getDescriptorSize () const
bool	checkDetectorSize () const
double	getWinSigma () const
virtual void	setSVMDetector (InputArray _svmdetector)
virtual bool	read (FileNode &fn)
virtual void	write (FileStorage &fs, const String &objname) const
virtual bool	load (const String &filename, const String &objname=String())
virtual void	save (const String &filename, const String &objname=String()) const
virtual void	copyTo (HOGDescriptor &c) const
virtual void	compute (const Mat &img, CV_OUT vector< float > &descriptors, Size winStride=Size(), Size padding=Size(), const vector< Point > &locations=vector< Point >()) const
virtual void	detect (const Mat &img, CV_OUT vector< Point > &foundLocations, CV_OUT vector< double > &weights, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), const vector< Point > &searchLocations=vector< Point >()) const
virtual void	detect (const Mat &img, CV_OUT vector< Point > &foundLocations, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), const vector< Point > &searchLocations=vector< Point >()) const
virtual void	detectMultiScale (const Mat &img, CV_OUT vector< Rect > &foundLocations, CV_OUT vector< double > &foundWeights, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), double scale=1.05, double finalThreshold=2.0, bool useMeanshiftGrouping=false) const
virtual void	detectMultiScale (const Mat &img, CV_OUT vector< Rect > &foundLocations, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), double scale=1.05, double finalThreshold=2.0, bool useMeanshiftGrouping=false) const
virtual void	computeGradient (const Mat &img, CV_OUT Mat &grad, CV_OUT Mat &angleOfs, Size paddingTL=Size(), Size paddingBR=Size()) const
void	detectROI (const cv::Mat &img, const 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
void	detectMultiScaleROI (const cv::Mat &img, CV_OUT std::vector< cv::Rect > &foundLocations, std::vector< DetectionROI > &locations, double hitThreshold=0, int groupThreshold=0) const
void	readALTModel (std::string modelfile)
void	groupRectangles (vector< cv::Rect > &rectList, vector< double > &weights, int groupThreshold, double eps) const

Static Public Member Functions
static vector< float >	getDefaultPeopleDetector ()
static vector< float >	getDaimlerPeopleDetector ()

Public Attributes
CV_PROP Size	winSize
CV_PROP Size	blockSize
CV_PROP Size	blockStride
CV_PROP Size	cellSize
CV_PROP int	nbins
CV_PROP int	derivAperture
CV_PROP double	winSigma
CV_PROP int	histogramNormType
CV_PROP double	L2HysThreshold
CV_PROP bool	gammaCorrection
CV_PROP vector< float >	svmDetector
CV_PROP int	nlevels

Member Enumeration Documentation

anonymous enum

Enumerator
L2Hys

anonymous enum

Enumerator
DEFAULT_NLEVELS

Constructor & Destructor Documentation

cv::HOGDescriptor::HOGDescriptor ( )

inline

cv::HOGDescriptor::HOGDescriptor ( Size  _winSize, Size  _blockSize, Size  _blockStride, Size  _cellSize, int  _nbins, int  _derivAperture = 1, double  _winSigma = -1, int  _histogramNormType = HOGDescriptor::L2Hys, double  _L2HysThreshold = 0.2, bool  _gammaCorrection = false, int  _nlevels = HOGDescriptor::DEFAULT_NLEVELS  )

inline

cv::HOGDescriptor::HOGDescriptor ( const String &  filename )

inline

cv::HOGDescriptor::HOGDescriptor ( const HOGDescriptor &  d )

inline

virtual cv::HOGDescriptor::~HOGDescriptor ( )

inlinevirtual

Member Function Documentation

bool cv::HOGDescriptor::checkDetectorSize

(

)

const

virtual void cv::HOGDescriptor::compute ( const Mat &  img, CV_OUT vector< float > &  descriptors, Size  winStride = Size(), Size  padding = Size(), const vector< Point > &  locations = vector< Point >()  ) const

virtual

virtual void cv::HOGDescriptor::computeGradient ( const Mat &  img, CV_OUT Mat &  grad, CV_OUT Mat &  angleOfs, Size  paddingTL = Size(), Size  paddingBR = Size()  ) const

virtual

virtual void cv::HOGDescriptor::copyTo ( HOGDescriptor &  c ) const

virtual

virtual void cv::HOGDescriptor::detect ( const Mat &  img, CV_OUT vector< Point > &  foundLocations, CV_OUT vector< double > &  weights, double  hitThreshold = 0, Size  winStride = Size(), Size  padding = Size(), const vector< Point > &  searchLocations = vector< Point >()  ) const

virtual

virtual void cv::HOGDescriptor::detect ( const Mat &  img, CV_OUT vector< Point > &  foundLocations, double  hitThreshold = 0, Size  winStride = Size(), Size  padding = Size(), const vector< Point > &  searchLocations = vector< Point >()  ) const

virtual

virtual void cv::HOGDescriptor::detectMultiScale ( const Mat &  img, CV_OUT vector< Rect > &  foundLocations, CV_OUT vector< double > &  foundWeights, double  hitThreshold = 0, Size  winStride = Size(), Size  padding = Size(), double  scale = 1.05, double  finalThreshold = 2.0, bool  useMeanshiftGrouping = false  ) const

virtual

virtual void cv::HOGDescriptor::detectMultiScale ( const Mat &  img, CV_OUT vector< Rect > &  foundLocations, double  hitThreshold = 0, Size  winStride = Size(), Size  padding = Size(), double  scale = 1.05, double  finalThreshold = 2.0, bool  useMeanshiftGrouping = false  ) const

virtual

void cv::HOGDescriptor::detectMultiScaleROI	(	const cv::Mat &	img,
		CV_OUT std::vector< cv::Rect > &	foundLocations,
		std::vector< DetectionROI > &	locations,
		double	hitThreshold = 0,
		int	groupThreshold = 0
	)		const

void cv::HOGDescriptor::detectROI	(	const cv::Mat &	img,
		const 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

static vector<float> cv::HOGDescriptor::getDaimlerPeopleDetector ( )

static

static vector<float> cv::HOGDescriptor::getDefaultPeopleDetector ( )

static

size_t cv::HOGDescriptor::getDescriptorSize

(

)

const

double cv::HOGDescriptor::getWinSigma

(

)

const

void cv::HOGDescriptor::groupRectangles	(	vector< cv::Rect > &	rectList,
		vector< double > &	weights,
		int	groupThreshold,
		double	eps
	)		const

virtual bool cv::HOGDescriptor::load ( const String &  filename, const String &  objname = String()  )

virtual

virtual bool cv::HOGDescriptor::read ( FileNode &  fn )

virtual

void cv::HOGDescriptor::readALTModel

(

std::string

modelfile

)

virtual void cv::HOGDescriptor::save ( const String &  filename, const String &  objname = String()  ) const

virtual

virtual void cv::HOGDescriptor::setSVMDetector ( InputArray  _svmdetector )

virtual

virtual void cv::HOGDescriptor::write ( FileStorage &  fs, const String &  objname  ) const

virtual

Member Data Documentation

CV_PROP Size cv::HOGDescriptor::blockSize

CV_PROP Size cv::HOGDescriptor::blockStride

CV_PROP Size cv::HOGDescriptor::cellSize

CV_PROP int cv::HOGDescriptor::derivAperture

CV_PROP bool cv::HOGDescriptor::gammaCorrection

CV_PROP int cv::HOGDescriptor::histogramNormType

CV_PROP double cv::HOGDescriptor::L2HysThreshold

CV_PROP int cv::HOGDescriptor::nbins

CV_PROP int cv::HOGDescriptor::nlevels

CV_PROP vector<float> cv::HOGDescriptor::svmDetector

CV_PROP double cv::HOGDescriptor::winSigma

CV_PROP Size cv::HOGDescriptor::winSize

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

• objdetect/objdetect.hpp