cv::CascadeClassifier Class Reference

#include <objdetect.hpp>

List of all members.

Classes
class	Data
class	MaskGenerator
Public Member Functions
CV_WRAP	CascadeClassifier ()
CV_WRAP	CascadeClassifier (const string &filename)
virtual	~CascadeClassifier ()
virtual CV_WRAP bool	empty () const
CV_WRAP bool	load (const string &filename)
virtual bool	read (const FileNode &node)
virtual CV_WRAP void	detectMultiScale (const Mat &image, CV_OUT vector< Rect > &objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size(), Size maxSize=Size())
virtual CV_WRAP void	detectMultiScale (const Mat &image, CV_OUT vector< Rect > &objects, vector< int > &rejectLevels, vector< double > &levelWeights, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size(), Size maxSize=Size(), bool outputRejectLevels=false)
bool	isOldFormatCascade () const
virtual Size	getOriginalWindowSize () const
int	getFeatureType () const
bool	setImage (const Mat &)
void	setMaskGenerator (Ptr< MaskGenerator > maskGenerator)
Ptr< MaskGenerator >	getMaskGenerator ()
void	setFaceDetectionMaskGenerator ()
Protected Types
enum	{ BOOST = 0 }
enum	{ DO_CANNY_PRUNING = 1, SCALE_IMAGE = 2, FIND_BIGGEST_OBJECT = 4, DO_ROUGH_SEARCH = 8 }
Protected Member Functions
virtual bool	detectSingleScale (const Mat &image, int stripCount, Size processingRectSize, int stripSize, int yStep, double factor, vector< Rect > &candidates, vector< int > &rejectLevels, vector< double > &levelWeights, bool outputRejectLevels=false)
bool	setImage (Ptr< FeatureEvaluator > &feval, const Mat &image)
virtual int	runAt (Ptr< FeatureEvaluator > &feval, Point pt, double &weight)
Protected Attributes
Data	data
Ptr< FeatureEvaluator >	featureEvaluator
Ptr< CvHaarClassifierCascade >	oldCascade
Ptr< MaskGenerator >	maskGenerator
Friends
class	CascadeClassifierInvoker
template<class FEval >
int	predictOrdered (CascadeClassifier &cascade, Ptr< FeatureEvaluator > &featureEvaluator, double &weight)
template<class FEval >
int	predictCategorical (CascadeClassifier &cascade, Ptr< FeatureEvaluator > &featureEvaluator, double &weight)
template<class FEval >
int	predictOrderedStump (CascadeClassifier &cascade, Ptr< FeatureEvaluator > &featureEvaluator, double &weight)
template<class FEval >
int	predictCategoricalStump (CascadeClassifier &cascade, Ptr< FeatureEvaluator > &featureEvaluator, double &weight)

---

Member Enumeration Documentation

anonymous enum [protected]

Enumerator:

BOOST

anonymous enum [protected]

Enumerator:

DO_CANNY_PRUNING
SCALE_IMAGE
FIND_BIGGEST_OBJECT
DO_ROUGH_SEARCH

---

Constructor & Destructor Documentation

CV_WRAP cv::CascadeClassifier::CascadeClassifier

(

)

CV_WRAP cv::CascadeClassifier::CascadeClassifier

(

const string &

filename

)

virtual cv::CascadeClassifier::~CascadeClassifier

(

)

[virtual]

---

Member Function Documentation

virtual CV_WRAP bool cv::CascadeClassifier::empty

(

)

const [virtual]

CV_WRAP bool cv::CascadeClassifier::load

(

const string &

filename

)

virtual bool cv::CascadeClassifier::read

(

const FileNode &

node

)

[virtual]

virtual CV_WRAP void cv::CascadeClassifier::detectMultiScale	(	const Mat &	image,
		CV_OUT vector< Rect > &	objects,
		double	scaleFactor = 1.1,
		int	minNeighbors = 3,
		int	flags = 0,
		Size	minSize = Size(),
		Size	maxSize = Size()
	)		[virtual]

virtual CV_WRAP void cv::CascadeClassifier::detectMultiScale	(	const Mat &	image,
		CV_OUT vector< Rect > &	objects,
		vector< int > &	rejectLevels,
		vector< double > &	levelWeights,
		double	scaleFactor = 1.1,
		int	minNeighbors = 3,
		int	flags = 0,
		Size	minSize = Size(),
		Size	maxSize = Size(),
		bool	outputRejectLevels = false
	)		[virtual]

bool cv::CascadeClassifier::isOldFormatCascade

(

)

const

virtual Size cv::CascadeClassifier::getOriginalWindowSize

(

)

const [virtual]

int cv::CascadeClassifier::getFeatureType

(

)

const

bool cv::CascadeClassifier::setImage

(

const Mat &

)

virtual bool cv::CascadeClassifier::detectSingleScale	(	const Mat &	image,
		int	stripCount,
		Size	processingRectSize,
		int	stripSize,
		int	yStep,
		double	factor,
		vector< Rect > &	candidates,
		vector< int > &	rejectLevels,
		vector< double > &	levelWeights,
		bool	outputRejectLevels = false
	)		[protected, virtual]

bool cv::CascadeClassifier::setImage	(	Ptr< FeatureEvaluator > &	feval,
		const Mat &	image
	)		[protected]

virtual int cv::CascadeClassifier::runAt	(	Ptr< FeatureEvaluator > &	feval,
		Point	pt,
		double &	weight
	)		[protected, virtual]

void cv::CascadeClassifier::setMaskGenerator

(

Ptr< MaskGenerator >

maskGenerator

)

Ptr<MaskGenerator> cv::CascadeClassifier::getMaskGenerator

(

)

void cv::CascadeClassifier::setFaceDetectionMaskGenerator

(

)

---

Friends And Related Function Documentation

friend class CascadeClassifierInvoker [friend]

template<class FEval >

int predictOrdered	(	CascadeClassifier &	cascade,
		Ptr< FeatureEvaluator > &	featureEvaluator,
		double &	weight
	)		[friend]

template<class FEval >

int predictCategorical	(	CascadeClassifier &	cascade,
		Ptr< FeatureEvaluator > &	featureEvaluator,
		double &	weight
	)		[friend]

template<class FEval >

int predictOrderedStump	(	CascadeClassifier &	cascade,
		Ptr< FeatureEvaluator > &	featureEvaluator,
		double &	weight
	)		[friend]

template<class FEval >

int predictCategoricalStump	(	CascadeClassifier &	cascade,
		Ptr< FeatureEvaluator > &	featureEvaluator,
		double &	weight
	)		[friend]

---

Member Data Documentation

Data cv::CascadeClassifier::data [protected]

Ptr<FeatureEvaluator> cv::CascadeClassifier::featureEvaluator [protected]

Ptr<CvHaarClassifierCascade> cv::CascadeClassifier::oldCascade [protected]

Ptr<MaskGenerator> cv::CascadeClassifier::maskGenerator [protected]

---

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

• include/opencv2/objdetect/objdetect.hpp