The nearest neighbor classifier is invoked at the top level to evaluate detections. More...

#include <NNClassifier.h>

Public Member Functions
void	addObject (const NNPatch &patch)
	Initializes a new object class with the given patch.
double	getConf (const NNPatch &patch, int objId=0, bool conservative=false) const
	Returns the confidence of a given patch with respect to a certain class.
double	getConf (NNPatch &patch, int objId, bool conservative, const ObjectBox &bbox, const unsigned char *rgb, int w, int h) const
	Returns the confidence of a given patch while subsequently computing and saving the color histogram if needed.
const std::vector< NNPatch > *	getNegPatches () const
	Returns a pointer to negative patches (intended for drawing).
const std::vector< std::vector < NNPatch > > *	getPosPatches () const
	Returns a pointer to positive patches (intended for drawing).
	NNClassifier (int width, int height, int patchSize, bool useColor=true, bool allowFastChange=false)
	Constructor.
	NNClassifier (std::ifstream &inputStream)
	Constructor for loading from file.
void	removeWarps ()
	Removes previously added warps (rotated patches) from positive list.
void	saveToStream (std::ofstream &outputStream) const
	Saves the classifier (i.e. the patches) to file.
bool	trainNN (const NNPatch &patch, int objId=0, bool positive=true, bool tmp=false)
	Trains a new patch to the classifier if it is considered "new" enough.
Private Member Functions
double	cmpHistograms (const float h1, const float h2) const
double	crossCorr (const float patchA, const float patchB, float denom=1) const
double	getConf (const float *patch, float norm2=1.0f, int objId=0, bool conservative=false) const
Private Attributes
bool	ivAllowFastChange
int	ivHeight
std::vector< NNPatch >	ivNegPatches
int	ivPatchSize
std::vector< std::vector < NNPatch > >	ivPosPatches
bool	ivUseColor
std::vector< char >	ivWarpIndices
int	ivWidth
Static Private Attributes
static Histogram *	ivHistogram = Histogram::getInstance()

Detailed Description

The nearest neighbor classifier is invoked at the top level to evaluate detections.

Definition at line 65 of file NNClassifier.h.

Constructor & Destructor Documentation

motld::NNClassifier::NNClassifier	(	int	width,
		int	height,
		int	patchSize,
		bool	useColor = `true`,
		bool	allowFastChange = `false`
	)

Constructor.

Definition at line 216 of file NNClassifier.h.

motld::NNClassifier::NNClassifier ( std::ifstream & inputStream )

Constructor for loading from file.

Definition at line 220 of file NNClassifier.h.

Member Function Documentation

void motld::NNClassifier::addObject ( const NNPatch & patch )

Initializes a new object class with the given patch.

Definition at line 260 of file NNClassifier.h.

double motld::NNClassifier::cmpHistograms	(	const float *	h1,
		const float *	h2
	)		const `[private]`

Definition at line 404 of file NNClassifier.h.

double motld::NNClassifier::crossCorr	(	const float *	patchA,
		const float *	patchB,
		float	denom = `1`
	)		const `[private]`

Definition at line 393 of file NNClassifier.h.

double motld::NNClassifier::getConf	(	const NNPatch &	patch,
		int	objId = `0`,
		bool	conservative = `false`
	)		const

Returns the confidence of a given patch with respect to a certain class.

Parameters:

patch	the patch that shall be evaluated
objId	Id of the class to compare or -1 for comparison to negative (background) patches
conservative	If true earlier positive patches are weighted more.

Definition at line 308 of file NNClassifier.h.

double motld::NNClassifier::getConf	(	NNPatch &	patch,
		int	objId,
		bool	conservative,
		const ObjectBox &	bbox,
		const unsigned char *	rgb,
		int	w,
		int	h
	)		const

Returns the confidence of a given patch while subsequently computing and saving the color histogram if needed.

See also:: getConf(const NNPatch& patch, int objId, bool conservative)

Definition at line 326 of file NNClassifier.h.

double motld::NNClassifier::getConf	(	const float *	patch,
		float	norm2 = `1.0f`,
		int	objId = `0`,
		bool	conservative = `false`
	)		const `[private]`

Definition at line 352 of file NNClassifier.h.

const std::vector< NNPatch > * motld::NNClassifier::getNegPatches ( ) const

Returns a pointer to negative patches (intended for drawing).

Definition at line 245 of file NNClassifier.h.

const std::vector< std::vector< NNPatch > > * motld::NNClassifier::getPosPatches ( ) const

Returns a pointer to positive patches (intended for drawing).

Definition at line 241 of file NNClassifier.h.

void motld::NNClassifier::removeWarps ( )

Removes previously added warps (rotated patches) from positive list.

Definition at line 250 of file NNClassifier.h.

void motld::NNClassifier::saveToStream ( std::ofstream & outputStream ) const

Saves the classifier (i.e. the patches) to file.

Definition at line 418 of file NNClassifier.h.

bool motld::NNClassifier::trainNN	(	const NNPatch &	patch,
		int	objId = `0`,
		bool	positive = `true`,
		bool	tmp = `false`
	)

Trains a new patch to the classifier if it is considered "new" enough.

Parameters:

patch	the patch that shall be learned
objId	id of the object class to which the patch should be added
positive	true if element of this class, false if not (background patch)
tmp	true if this is a temporary (warped) patch