A class for driven sample extraction for retraining. More...

#include <bootstrapping.h>

Public Member Functions
	bootstrapping (configuration &conf)
void	fprop (detector< T, Tstate > &detect, string &fname, bool reset=true, double scale=1.0)
void	clear ()
	Clears all previous results.
bboxes &	get_bbpos ()
	Returns a reference to positive bounding boxes.
bboxes &	get_bbneg ()
	Returns a reference to negative bounding boxes.
bboxes &	get_bball ()
	Returns a reference to positive+negative bounding boxes.
bboxes &	get_gtall ()
	Returns a reference to all groundtruth bounding boxes.
bboxes &	get_gtclean ()
	Returns a reference to cleaned up groundtruth bounding boxes.
bboxes &	get_gtrest ()
	Returns a reference to rest of cleaned up groundtruth bounding boxes.
svector< midx< T > > &	get_pos ()
	Returns a reference to positive samples last extracted.
svector< midx< T > > &	get_neg ()
	Returns a reference to negative samples last extracted.
svector< midx< T > > &	get_all ()
	Returns a reference to positive+negative samples last extracted.
bool	activated ()
	Returns true if configuration variable 'bootstrapping' is set to 1.
bool	extract_positives ()
	Returns true if extracting positive samples.
bool	groundtruth_found (string &frame_name)
	Returns true if groundtruth exists for frame 'frame_name'.
bool	skip_frame (string &frame_name)
intg	max_size ()
void	save_dataset (svector< midx< T > > &samples, bboxes &bb, string &outdir, idx< ubyte > &classes)
	Save samples into dataset-format files.
Protected Member Functions
string	groundtruth_file (string &frame_name)
	Returns groundtruth filename given a frame name.
bboxes	load_groundtruth (string &frame_name)
	Load groundtruth based on the image name.
bboxes	load_clean_groundtruth (string &frame_name, configuration &conf, bboxes &rest)
bboxes	get_positives (mstate< Tstate > &outputs, bboxes &groundtruth, mfidxdim &topleft, mfidxdim &topright, mfidxdim &bottomleft, mfidxdim &bottomright, float matching, float min_context)
bboxes	get_negatives (mstate< Tstate > &answers, bboxes &filtered, bboxes &nonfiltered, mfidxdim &topleft, mfidxdim &topright, mfidxdim &bottomleft, mfidxdim &bottomright, float matching, uint nmax, int neg_id, T threshold)
void	add_mirrors (svector< midx< T > > &samples, bboxes &boxes)
Protected Attributes
configuration &	conf
bool	silent
string	gt_path
	Path of groundtruth files.
bboxes	gt_all
	All groundtruth boxes.
bboxes	gt_clean
	Cleaned up groundtruth.
bboxes	gt_rest
	Remaining of groundtruth after clean up.
bboxes	bbpos
	Bounding boxes of positive samples.
bboxes	bbneg
	Bounding boxes of negative samples.
bboxes	bball
	Bounding boxes of all samples (pos + neg).
svector< midx< T > >	spos
	Positive samples extracted for bootstrapping.
svector< midx< T > >	sneg
	Negative samples extracted for bootstrapping.
svector< midx< T > >	sall
	Positive + negative samples.
string	xml_fullname
	Full path of last xml groundtruth.
bool	extract_pos
	Extract positive samples or not.
bool	extract_neg
	Extract negative samples or not.
bool	_activated
intg	_max_size
bool	neg_gt_only
	Only extract negatives in images with groundtruth.
T	neg_threshold
	Threshold for negatives extraction.
mfidxdim	bbox_scalings
	Scaling bboxes for each scale.
bool	mirror_pos
	Mirror positive samples.

Detailed Description

template<typename T, class Tstate = fstate_idx<T>>
class ebl::bootstrapping< T, Tstate >

A class for driven sample extraction for retraining.

Member Function Documentation

template<typename T, class Tstate >

void ebl::bootstrapping< T, Tstate >::add_mirrors	(	svector< midx< T > > &	samples,
		bboxes &	boxes
	)		`[protected]`

Push mirror versions of all samples and their corresponding boxes at the end of 'samples' and 'boxes'.

template<typename T, class Tstate>

void ebl::bootstrapping< T, Tstate >::fprop	(	detector< T, Tstate > &	detect,
		string &	fname,
		bool	reset = `true`,
		double	scale = `1.0`
	)

Extract bootstrapping samples for frame 'fname' into internal buffers. See accessors to retrieve data.

Parameters:

reset	If true, clears previous results, otherwise accumulate.
scale	Scale groundtruth boxes by this factor.

template<typename T , class Tstate >

bboxes ebl::bootstrapping< T, Tstate >::load_clean_groundtruth	(	string &	frame_name,
		configuration &	conf,
		bboxes &	rest
	)		`[protected]`

Load groundtruth based on the image name, and filter it based on various criteria.

template<typename T , class Tstate >

intg ebl::bootstrapping< T, Tstate >::max_size ( )

Returns the maximum number of bootstrapping to be extracted (min of max limit of intg and value of "bootstrapping_max").

template<typename T , class Tstate >

bool ebl::bootstrapping< T, Tstate >::skip_frame ( string & frame_name )

Returns true if frame 'frame_name' should be ignored, i.e. if bootstrapping is activated, negatives are not extracted and no groundtruth was found for this frame.

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

/home/rex/ebltrunk/tools/libeblearntools/include/bootstrapping.h
/home/rex/ebltrunk/tools/libeblearntools/include/bootstrapping.hpp

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

template<typename T, class Tstate = fstate_idx<T>> class ebl::bootstrapping< T, Tstate >

Member Function Documentation

template<typename T, class Tstate = fstate_idx<T>>
class ebl::bootstrapping< T, Tstate >