#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, bool _signedGradient=false)

	HOGDescriptor (const String &filename)

	HOGDescriptor (const HOGDescriptor &d)

virtual	~HOGDescriptor ()

bool	checkDetectorSize () const

virtual void	compute (InputArray img, std::vector< float > &descriptors, Size winStride=Size(), Size padding=Size(), const std::vector< Point > &locations=std::vector< Point >()) const

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

virtual void	copyTo (HOGDescriptor &c) const

virtual void	detect (const Mat &img, std::vector< Point > &foundLocations, std::vector< double > &weights, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), const std::vector< Point > &searchLocations=std::vector< Point >()) const
	with found weights output More...

virtual void	detect (const Mat &img, std::vector< Point > &foundLocations, double hitThreshold=0, Size winStride=Size(), Size padding=Size(), const std::vector< Point > &searchLocations=std::vector< Point >()) const
	without found weights output More...

virtual void	detectMultiScale (InputArray img, std::vector< Rect > &foundLocations, 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
	with result weights output More...

virtual void	detectMultiScale (InputArray img, 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
	without found weights output More...

virtual void	detectMultiScaleROI (const cv::Mat &img, std::vector< cv::Rect > &foundLocations, std::vector< DetectionROI > &locations, double hitThreshold=0, int groupThreshold=0) const
	evaluate specified ROI and return confidence value for each location in multiple scales More...

virtual void	detectROI (const cv::Mat &img, const std::vector< cv::Point > &locations, std::vector< cv::Point > &foundLocations, std::vector< double > &confidences, double hitThreshold=0, cv::Size winStride=Size(), cv::Size padding=Size()) const
	evaluate specified ROI and return confidence value for each location More...

size_t	getDescriptorSize () const

double	getWinSigma () const

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

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

virtual bool	read (FileNode &fn)

void	readALTModel (String modelfile)
	read/parse Dalal's alt model file More...

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

virtual void	setSVMDetector (InputArray _svmdetector)

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

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

static std::vector< float >	getDefaultPeopleDetector ()

Public Attributes
Size	blockSize

Size	blockStride

Size	cellSize

int	derivAperture

float	free_coef

bool	gammaCorrection

int	histogramNormType

double	L2HysThreshold

int	nbins

int	nlevels

UMat	oclSvmDetector

bool	signedGradient

std::vector< float >	svmDetector

double	winSigma

Size	winSize

Detailed Description

Examples:: peopledetect.cpp.

Member Enumeration Documentation

◆ anonymous enum

anonymous enum

Enumerator
L2Hys

◆ anonymous enum

anonymous enum

Enumerator
DEFAULT_NLEVELS

Constructor & Destructor Documentation

◆ HOGDescriptor() [1/4]

cv::HOGDescriptor::HOGDescriptor ( )

inline

◆ HOGDescriptor() [2/4]

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`,
		bool	_signedGradient = `false`
	)

inline

◆ HOGDescriptor() [3/4]

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

inline

◆ HOGDescriptor() [4/4]

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

inline

◆ ~HOGDescriptor()

virtual cv::HOGDescriptor::~HOGDescriptor ( )

inlinevirtual

Member Function Documentation

◆ checkDetectorSize()

bool cv::HOGDescriptor::checkDetectorSize ( ) const

◆ compute()

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

virtual

◆ computeGradient()

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

virtual

◆ copyTo()

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

virtual

◆ detect() [1/2]

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

virtual

with found weights output

◆ detect() [2/2]

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

virtual

without found weights output

◆ detectMultiScale() [1/2]

virtual void cv::HOGDescriptor::detectMultiScale	(	InputArray	img,
		std::vector< Rect > &	foundLocations,
		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

virtual

with result weights output

Examples:: peopledetect.cpp.

◆ detectMultiScale() [2/2]

virtual void cv::HOGDescriptor::detectMultiScale	(	InputArray	img,
		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

virtual

without found weights output

◆ detectMultiScaleROI()

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

virtual

evaluate specified ROI and return confidence value for each location in multiple scales

◆ detectROI()

virtual void cv::HOGDescriptor::detectROI	(	const cv::Mat &	img,
		const std::vector< cv::Point > &	locations,
		std::vector< cv::Point > &	foundLocations,
		std::vector< double > &	confidences,
		double	hitThreshold = `0`,
		cv::Size	winStride = `Size()`,
		cv::Size	padding = `Size()`
	)		const

virtual

evaluate specified ROI and return confidence value for each location

◆ getDaimlerPeopleDetector()

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

static

◆ getDefaultPeopleDetector()

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

static

Examples:: peopledetect.cpp.

◆ getDescriptorSize()

size_t cv::HOGDescriptor::getDescriptorSize ( ) const

◆ getWinSigma()

double cv::HOGDescriptor::getWinSigma ( ) const

◆ groupRectangles()

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

◆ load()

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

virtual

◆ read()

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

virtual

◆ readALTModel()

void cv::HOGDescriptor::readALTModel ( String modelfile )

read/parse Dalal's alt model file

◆ save()

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

virtual

◆ setSVMDetector()

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

virtual

Examples:: peopledetect.cpp.

◆ write()

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

virtual

Member Data Documentation

◆ blockSize

Size cv::HOGDescriptor::blockSize

◆ blockStride

Size cv::HOGDescriptor::blockStride

◆ cellSize

Size cv::HOGDescriptor::cellSize

◆ derivAperture

int cv::HOGDescriptor::derivAperture

◆ free_coef

float cv::HOGDescriptor::free_coef

◆ gammaCorrection

bool cv::HOGDescriptor::gammaCorrection

◆ histogramNormType

int cv::HOGDescriptor::histogramNormType

◆ L2HysThreshold

double cv::HOGDescriptor::L2HysThreshold

◆ nbins

int cv::HOGDescriptor::nbins

◆ nlevels

int cv::HOGDescriptor::nlevels

◆ oclSvmDetector

UMat cv::HOGDescriptor::oclSvmDetector

◆ signedGradient

bool cv::HOGDescriptor::signedGradient

◆ svmDetector

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

◆ winSigma

double cv::HOGDescriptor::winSigma

◆ winSize

Size cv::HOGDescriptor::winSize

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

objdetect/include/opencv2/objdetect.hpp

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Detailed Description

Member Enumeration Documentation

◆ anonymous enum

◆ anonymous enum

Constructor & Destructor Documentation

◆ HOGDescriptor() [1/4]

◆ HOGDescriptor() [2/4]

◆ HOGDescriptor() [3/4]

◆ HOGDescriptor() [4/4]

◆ ~HOGDescriptor()

Member Function Documentation

◆ checkDetectorSize()

◆ compute()

◆ computeGradient()

◆ copyTo()

◆ detect() [1/2]

◆ detect() [2/2]

◆ detectMultiScale() [1/2]

◆ detectMultiScale() [2/2]

◆ detectMultiScaleROI()

◆ detectROI()

◆ getDaimlerPeopleDetector()

◆ getDefaultPeopleDetector()

◆ getDescriptorSize()

◆ getWinSigma()

◆ groupRectangles()

◆ load()

◆ read()

◆ readALTModel()

◆ save()

◆ setSVMDetector()

◆ write()

Member Data Documentation

◆ blockSize

◆ blockStride

◆ cellSize

◆ derivAperture

◆ free_coef

◆ gammaCorrection

◆ histogramNormType

◆ L2HysThreshold

◆ nbins

◆ nlevels

◆ oclSvmDetector

◆ signedGradient

◆ svmDetector

◆ winSigma

◆ winSize