WaldBoost detector. More...

#include <opencv2/xobjdetect.hpp>

Public Member Functions
virtual	~WBDetector ()

virtual void	detect (const Mat &img, std::vector< Rect > &bboxes, std::vector< double > &confidences)=0
	Detect objects on image using WaldBoost detector.

virtual void	read (const FileNode &node)=0
	Read detector from FileNode.

virtual void	train (const std::string &pos_samples, const std::string &neg_imgs)=0
	Train WaldBoost detector.

virtual void	write (FileStorage &fs) const =0
	Write detector to FileStorage.

Static Public Member Functions
static Ptr< WBDetector >	create ()
	Create instance of WBDetector.

Detailed Description

WaldBoost detector.

Constructor & Destructor Documentation

virtual cv::xobjdetect::WBDetector::~WBDetector ( )

inlinevirtual

static Ptr<WBDetector> cv::xobjdetect::WBDetector::create ( )

static

Create instance of WBDetector.

virtual void cv::xobjdetect::WBDetector::detect	(	const Mat &	img,
		std::vector< Rect > &	bboxes,
		std::vector< double > &	confidences
	)

pure virtual

Detect objects on image using WaldBoost detector.

Parameters

img	Input image for detection
bboxes	Bounding boxes coordinates output vector
confidences	Confidence values for bounding boxes output vector

virtual void cv::xobjdetect::WBDetector::read ( const FileNode & node )

pure virtual

Read detector from FileNode.

Parameters

node	FileNode for input

virtual void cv::xobjdetect::WBDetector::train	(	const std::string &	pos_samples,
		const std::string &	neg_imgs
	)

pure virtual

Train WaldBoost detector.

Parameters

pos_samples	Path to directory with cropped positive samples
neg_imgs	Path to directory with negative (background) images

virtual void cv::xobjdetect::WBDetector::write ( FileStorage & fs ) const

pure virtual

Write detector to FileStorage.

Parameters

fs	FileStorage for output

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