cv::xobjdetect::ICFDetector Class Reference

Integral Channel Features from [32] . More...

#include "xobjdetect.hpp"

Public Member Functions
	ICFDetector ()
void	detect (const Mat &image, std::vector< Rect > &objects, float scaleFactor, Size minSize, Size maxSize, float threshold, int slidingStep, std::vector< float > &values)
	Detect objects on image. More...
void	detect (const Mat &img, std::vector< Rect > &objects, float minScaleFactor, float maxScaleFactor, float factorStep, float threshold, int slidingStep, std::vector< float > &values)
	Detect objects on image. More...
void	read (const FileNode &node)
	Write ICFDetector to FileNode. More...
void	train (const std::vector< String > &pos_filenames, const std::vector< String > &bg_filenames, ICFDetectorParams params=ICFDetectorParams())
	Train detector. More...
void	write (FileStorage &fs) const
	Write detector to FileStorage. More...

Detailed Description

Integral Channel Features from [32] .

Constructor & Destructor Documentation

cv::xobjdetect::ICFDetector::ICFDetector ( )

inline

Member Function Documentation

void cv::xobjdetect::ICFDetector::detect	(	const Mat &	image,
		std::vector< Rect > &	objects,
		float	scaleFactor,
		Size	minSize,
		Size	maxSize,
		float	threshold,
		int	slidingStep,
		std::vector< float > &	values
	)

Detect objects on image.

Parameters

image	image for detection
objects	output array of bounding boxes
scaleFactor	scale between layers in detection pyramid
minSize	min size of objects in pixels
maxSize	max size of objects in pixels
threshold
slidingStep	sliding window step
values	output vector with values of positive samples

void cv::xobjdetect::ICFDetector::detect	(	const Mat &	img,
		std::vector< Rect > &	objects,
		float	minScaleFactor,
		float	maxScaleFactor,
		float	factorStep,
		float	threshold,
		int	slidingStep,
		std::vector< float > &	values
	)

Detect objects on image.

Parameters

img	image for detection
objects	output array of bounding boxes
minScaleFactor	min factor by which the image will be resized
maxScaleFactor	max factor by which the image will be resized
factorStep	scaling factor is incremented each pyramid layer according to this parameter
threshold
slidingStep	sliding window step
values	output vector with values of positive samples

void cv::xobjdetect::ICFDetector::read

(

const FileNode &

node

)

Write ICFDetector to FileNode.

Parameters

node	FileNode for reading

void cv::xobjdetect::ICFDetector::train	(	const std::vector< String > &	pos_filenames,
		const std::vector< String > &	bg_filenames,
		ICFDetectorParams	params = ICFDetectorParams()
	)

Train detector.

Parameters

pos_filenames	path to folder with images of objects (wildcards like /my/path/*.png are allowed)
bg_filenames	path to folder with background images
params	parameters for detector training

void cv::xobjdetect::ICFDetector::write

(

FileStorage &

fs

)

const

Write detector to FileStorage.

Parameters

fs	FileStorage for output

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

• /builds/master-contrib_docs-mac/opencv_contrib/modules/xobjdetect/include/opencv2/xobjdetect.hpp