Classes
class	cv::xobjdetect::FeatureEvaluator
	Feature evaluation interface. More...

class	cv::xobjdetect::ICFDetector
	Integral Channel Features from [32] . More...

struct	cv::xobjdetect::ICFDetectorParams
	Params for ICFDetector training. More...

class	cv::xobjdetect::WaldBoost
	WaldBoost object detector from [112] . More...

struct	cv::xobjdetect::WaldBoostParams
	Parameters for WaldBoost. weak_count — number of weak learners, alpha — cascade thresholding param. More...

Functions
void	cv::xobjdetect::computeChannels (InputArray image, std::vector< Mat > &channels)
	Compute channels for integral channel features evaluation. More...

Ptr< FeatureEvaluator >	cv::xobjdetect::createFeatureEvaluator (const std::vector< std::vector< int > > &features, const std::string &type)
	Construct feature evaluator. More...

Ptr< WaldBoost >	cv::xobjdetect::createWaldBoost (const WaldBoostParams &params=WaldBoostParams())
	Construct WaldBoost object. More...

std::vector< std::vector< int > >	cv::xobjdetect::generateFeatures (Size window_size, const std::string &type, int count=INT_MAX, int channel_count=10)
	Generate integral features. Returns vector of features. More...

void	cv::xobjdetect::read (const FileNode &node, ICFDetector &d, const ICFDetector &default_value=ICFDetector())

void	cv::xobjdetect::sort_columns_without_copy (Mat &m, Mat indices=Mat())

void	cv::xobjdetect::write (FileStorage &fs, String &, const ICFDetector &detector)

Detailed Description

Function Documentation

void cv::xobjdetect::computeChannels	(	InputArray	image,
		std::vector< Mat > &	channels
	)

Compute channels for integral channel features evaluation.

Parameters

image	image for which channels should be computed
channels	output array for computed channels

Ptr<FeatureEvaluator> cv::xobjdetect::createFeatureEvaluator	(	const std::vector< std::vector< int > > &	features,
		const std::string &	type
	)

Construct feature evaluator.

Parameters

features	features for evaluation
type	feature type. Can be "icf" or "acf"

Ptr<WaldBoost> cv::xobjdetect::createWaldBoost ( const WaldBoostParams & params = WaldBoostParams() )

Construct WaldBoost object.

std::vector<std::vector<int> > cv::xobjdetect::generateFeatures	(	Size	window_size,
		const std::string &	type,
		int	count = `INT_MAX`,
		int	channel_count = `10`
	)

Generate integral features. Returns vector of features.

Parameters

window_size	size of window in which features should be evaluated
type	feature type. Can be "icf" or "acf"
count	number of features to generate.
channel_count	number of feature channels

void cv::xobjdetect::sort_columns_without_copy	(	Mat &	m,
		Mat	indices = `Mat()`
	)