LearnPersons2 Class Reference

#include <Learn_Persons2.h>

Inheritance diagram for LearnPersons2:

List of all members.

Public Member Functions
	LearnPersons2 (const AbstractData *parent=NULL, const SimpleData *parameters=NULL)
virtual LearnPersons2 *	duplicate ()
virtual int	processData (SimpleData *options=NULL)
virtual int	allocateResults ()
virtual int	finalizeProcessing ()
virtual int	prepareData (bool haveTestSet=false)
virtual int	definePersonsClass (int personIndex)
virtual int	learn ()
virtual int	recognize (int optimizeEigenCoeffs=1)
virtual int	learnAndOptimize ()
virtual int	saveNormalImage (int index, FGFaceImgPoints *persImgData, bool trainSet=true, std::string *imgName=NULL)
	Shrani normalizirane slike.
virtual int	calcRecognRate (int object)
virtual int	saveNormalImgResults (int object)
virtual int	cleanData ()
virtual int	allocateLearnObjects ()
Public Attributes
TDClassRecognRate *	outRecRate
TDIPLImage *	tEigenImgs
FaceFGDatabase *	dbObj
LearnEigenFaces2 *	learnObj
RecEigenFaces2 *	recObj
FaceNormalizeToken *	faceNorm
int	faceDb
	Izbira baze slik: 0 FG, 1 PUT, 2 SQLite baza.
float	trainSet
bool	testSet
int	minPerson
int	maxPerson
int	minImage
int	maxImage
int	minAge
int	maxAge
int	nEigens
int	pRecognCoeff
	Delez najboljsih koeficientov od vseh za prepoznavo slik v %.
int	pSaveNormalImages
	Ali shranjujemo testne normalizirane slike.
int	pMaxClassImages
	Najvec koliko slik za pos razred.
int	pOptimCoeff
int	pTestRuns
	Stevilo testiranj v primeru veckratnega poganjanja testov.
int	iterationInd
	Vsakic ko izracunamo novo pca in testiramo je nova iteracija (indeks)
vector< string >	tTestImgFn
vector< string >	tTrainImgFn

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Constructor & Destructor Documentation

LearnPersons2::LearnPersons2	(	const AbstractData *	parent = NULL,
		const SimpleData *	parameters = NULL
	)

---

Member Function Documentation

int LearnPersons2::allocateLearnObjects

(

)

[virtual]

Reimplemented in LearnPersonsGender3.

int LearnPersons2::allocateResults

(

)

[virtual]

Reimplemented from DataProcessing.

Reimplemented in LearnPersonsGender2, LearnPersonsGender3, LearnPersonsVIP2, and LearnPersonsGender3.

int LearnPersons2::calcRecognRate

(

int

object

)

[virtual]

int LearnPersons2::cleanData

(

)

[virtual]

int LearnPersons2::definePersonsClass

(

int

personIndex

)

[virtual]

virtual LearnPersons2* LearnPersons2::duplicate

(

)

[inline, virtual]

Reimplemented from DataProcessing.

Reimplemented in LearnPersonsGender2, LearnPersonsGender3, LearnPersonsVIP2, RecPersonsGenderTest2, RecPersonsGenderTest3, LearnPersonsGender3, and RecPersonsGenderTest3.

int LearnPersons2::finalizeProcessing

(

)

[virtual]

Reimplemented from AbstractProcessing.

int LearnPersons2::learn

(

)

[virtual]

Reimplemented in LearnPersonsGender3, and LearnPersonsGender3.

int LearnPersons2::learnAndOptimize

(

)

[virtual]

int LearnPersons2::prepareData

(

bool

haveTestSet = false

)

[virtual]

Reimplemented in LearnPersonsGender2, and LearnPersonsVIP2.

int LearnPersons2::processData

(

SimpleData *

options = NULL

)

[virtual]

Reimplemented from DataProcessing.

Reimplemented in RecPersonsGenderTest2, RecPersonsGenderTest3, and RecPersonsGenderTest3.

int LearnPersons2::recognize

(

int

optimizeEigenCoeffs = 1

)

[virtual]

Reimplemented in LearnPersonsGender3.

int LearnPersons2::saveNormalImage	(	int	index,
		FGFaceImgPoints *	persImgData,
		bool	trainSet = true,
		std::string *	imgName = NULL
	)		[virtual]

Shrani normalizirane slike.

int LearnPersons2::saveNormalImgResults

(

int

object

)

[virtual]

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Member Data Documentation

FaceFGDatabase* LearnPersons2::dbObj

int LearnPersons2::faceDb

Izbira baze slik: 0 FG, 1 PUT, 2 SQLite baza.

FaceNormalizeToken* LearnPersons2::faceNorm

int LearnPersons2::iterationInd

Vsakic ko izracunamo novo pca in testiramo je nova iteracija (indeks)

LearnEigenFaces2* LearnPersons2::learnObj

int LearnPersons2::maxAge

int LearnPersons2::maxImage

int LearnPersons2::maxPerson

int LearnPersons2::minAge

int LearnPersons2::minImage

int LearnPersons2::minPerson

int LearnPersons2::nEigens

TDClassRecognRate* LearnPersons2::outRecRate

int LearnPersons2::pMaxClassImages

Najvec koliko slik za pos razred.

int LearnPersons2::pOptimCoeff

int LearnPersons2::pRecognCoeff

Delez najboljsih koeficientov od vseh za prepoznavo slik v %.

int LearnPersons2::pSaveNormalImages

Ali shranjujemo testne normalizirane slike.

int LearnPersons2::pTestRuns

Stevilo testiranj v primeru veckratnega poganjanja testov.

RecEigenFaces2* LearnPersons2::recObj

TDIPLImage* LearnPersons2::tEigenImgs

bool LearnPersons2::testSet

float LearnPersons2::trainSet

vector<string> LearnPersons2::tTestImgFn

vector<string> LearnPersons2::tTrainImgFn

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

• D:/J_PROGRAMI/SPLINEPROJECT/CODE2/Face_Recognition/Learn_Persons2.h
• D:/J_PROGRAMI/SPLINEPROJECT/CODE2/Face_Recognition/Learn_Persons2.cpp
• D:/J_PROGRAMI/SPLINEPROJECT/CODE2/Temp/Learn_Persons2.cpp