Base abstract class for triplet potential training. More...

#include <TrainTriplet.h>

Inheritance diagram for DirectGraphicalModels::CTrainTriplet:

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Collaboration diagram for DirectGraphicalModels::CTrainTriplet:

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Public Member Functions
	CTrainTriplet (byte nStates, byte nFeatures)

	~CTrainTriplet (void)

void	reset (void)
	Resets class variables. More...

void	train (bool doClean=false)
	Random model training. More...

Mat	getTripletPotentials (const Mat &featureVector1, const Mat &featureVector2, const Mat &featureVector3) const

Public Member Functions inherited from DirectGraphicalModels::ITrain
	ITrain (byte nStates, word nFeatures)
	Constructor. More...

virtual	~ITrain (void)=default

word	getNumFeatures (void) const
	Returns number of features. More...

Public Member Functions inherited from DirectGraphicalModels::CBaseRandomModel
	CBaseRandomModel (byte nStates)
	Constructor. More...

virtual	~CBaseRandomModel (void)

virtual void	save (const std::string &path, const std::string &name=std::string(), short idx=-1) const
	Saves the training data. More...

virtual void	load (const std::string &path, const std::string &name=std::string(), short idx=-1)
	Loads the training data. More...

byte	getNumStates (void) const
	Returns number of states (classes) More...

Protected Member Functions
void	saveFile (FILE *pFile) const

void	loadFile (FILE *pFile)

void	calculateTripletPotentials (const Mat &featureVector1, const Mat &featureVector2, const Mat &featureVector3) const

Protected Member Functions inherited from DirectGraphicalModels::CBaseRandomModel
std::string	generateFileName (const std::string &path, const std::string &name, short idx) const
	Generates name of the data file for storing random model parameters. More...

Additional Inherited Members
Protected Attributes inherited from DirectGraphicalModels::CBaseRandomModel
byte	m_nStates
	The number of states (classes) More...

Private Member Functions inherited from DirectGraphicalModels::CPriorTriplet
	CPriorTriplet (byte nStates)
	Constructor. More...

	~CPriorTriplet (void)

void	addTripletGroundTruth (byte gt1, byte gt2, byte gt3)
	Adds the groud-truth value to the co-occurance histogram matrix. More...

Mat	calculatePrior (void) const
	Calculates the prior probabilies. More...

Private Member Functions inherited from DirectGraphicalModels::CPrior
	CPrior (byte nStates, RandomModelType type)
	Constructor. More...

	~CPrior (void)

Mat	getPrior (float weight=1.0f) const
	Returns the prior probabilies. More...

Private Member Functions inherited from DirectGraphicalModels::CBaseRandomModel
	CBaseRandomModel (byte nStates)
	Constructor. More...

virtual	~CBaseRandomModel (void)

virtual void	save (const std::string &path, const std::string &name=std::string(), short idx=-1) const
	Saves the training data. More...

virtual void	load (const std::string &path, const std::string &name=std::string(), short idx=-1)
	Loads the training data. More...

byte	getNumStates (void) const
	Returns number of states (classes) More...

std::string	generateFileName (const std::string &path, const std::string &name, short idx) const
	Generates name of the data file for storing random model parameters. More...

Private Attributes inherited from DirectGraphicalModels::CPrior
Mat	m_histogramPrior
	The class cooccurance histogram. More...

Private Attributes inherited from DirectGraphicalModels::CBaseRandomModel
byte	m_nStates
	The number of states (classes) More...

Detailed Description

Base abstract class for triplet potential training.

Author: Sergey G. Kosov, serge.nosp@m.y.ko.nosp@m.sov@p.nosp@m.roje.nosp@m.ct-10.nosp@m..de

Definition at line 16 of file TrainTriplet.h.

Constructor & Destructor Documentation

◆ CTrainTriplet()

DirectGraphicalModels::CTrainTriplet::CTrainTriplet	(	byte	nStates,
		byte	nFeatures
	)

inline

Definition at line 19 of file TrainTriplet.h.

◆ ~CTrainTriplet()

DirectGraphicalModels::CTrainTriplet::~CTrainTriplet ( void )

inline

Definition at line 20 of file TrainTriplet.h.

Member Function Documentation

◆ calculateTripletPotentials()

void DirectGraphicalModels::CTrainTriplet::calculateTripletPotentials	(	const Mat &	featureVector1,
		const Mat &	featureVector2,
		const Mat &	featureVector3
	)		const

protected

Definition at line 12 of file TrainTriplet.cpp.

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◆ getTripletPotentials()

Mat DirectGraphicalModels::CTrainTriplet::getTripletPotentials	(	const Mat &	featureVector1,
		const Mat &	featureVector2,
		const Mat &	featureVector3
	)		const

Definition at line 6 of file TrainTriplet.cpp.

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◆ loadFile()

void DirectGraphicalModels::CTrainTriplet::loadFile ( FILE * pFile )

inlineprotectedvirtual

Todo:: Implement load() function

Warning: This function is not implemented

Implements DirectGraphicalModels::CBaseRandomModel.

Definition at line 41 of file TrainTriplet.h.

◆ reset()

void DirectGraphicalModels::CTrainTriplet::reset ( void )

inlinevirtual

Resets class variables.

Allows to re-use the class.

Implements DirectGraphicalModels::CBaseRandomModel.

Definition at line 22 of file TrainTriplet.h.

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◆ saveFile()

void DirectGraphicalModels::CTrainTriplet::saveFile ( FILE * pFile ) const

inlineprotectedvirtual

Todo:: Implement save() function

Warning: This function is not implemented

Implements DirectGraphicalModels::CBaseRandomModel.

Definition at line 35 of file TrainTriplet.h.

◆ train()

void DirectGraphicalModels::CTrainTriplet::train ( bool doClean = false )

inlinevirtual

Random model training.

Auxilary function for training - some derived classes may use this function inbetween training and classification phases

Note: This function must be called inbetween the training and classification phases

Parameters

doClean Flag indicating if the memory, keeping the trining data should be released after training

Implements DirectGraphicalModels::ITrain.

Definition at line 25 of file TrainTriplet.h.

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

D:/Projects/DGM/modules/DGM/TrainTriplet.h
D:/Projects/DGM/modules/DGM/TrainTriplet.cpp

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ CTrainTriplet()

◆ ~CTrainTriplet()

Member Function Documentation

◆ calculateTripletPotentials()

◆ getTripletPotentials()

◆ loadFile()

◆ reset()

◆ saveFile()

◆ train()