Edge prior probability estimation class. More...

#include <PriorEdge.h>

Inheritance diagram for DirectGraphicalModels::CPriorEdge:

Collaboration diagram for DirectGraphicalModels::CPriorEdge:

Public Member Functions
	CPriorEdge (byte nStates, ePotNormApproach normApp=eP_APP_NORM_SYMMETRIC)
	Constructor. More...

	~CPriorEdge (void)

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

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

	~CPrior (void)

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

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

Protected Member Functions inherited from DirectGraphicalModels::CPrior
virtual void	saveFile (FILE *pFile) const
	Saves the random model into the file. More...

virtual void	loadFile (FILE *pFile)
	Loads the random model from the file. More...

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...

Private Attributes
ePotNormApproach	m_normApp
	Flag specifying the co-occurance histogram matrix normalization approach (Ref. ePotNormApproach) More...

Additional Inherited Members
Protected Attributes inherited from DirectGraphicalModels::CPrior
Mat	m_histogramPrior
	The class cooccurance histogram. More...

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

Detailed Description

Edge prior probability estimation class.

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 38 of file PriorEdge.h.

Constructor & Destructor Documentation

◆ CPriorEdge()

DirectGraphicalModels::CPriorEdge::CPriorEdge	(	byte	nStates,
		ePotNormApproach	normApp = `eP_APP_NORM_SYMMETRIC`
	)

inline

Constructor.

Parameters

nStates	Number of states (classes)
normApp	Flag specifying the co-occurance histogram matrix normalization approach (Ref. ePotNormApproach)

Definition at line 46 of file PriorEdge.h.

◆ ~CPriorEdge()

DirectGraphicalModels::CPriorEdge::~CPriorEdge ( void )

inline

Definition at line 47 of file PriorEdge.h.

Member Function Documentation

◆ addEdgeGroundTruth()

void DirectGraphicalModels::CPriorEdge::addEdgeGroundTruth	(	byte	gt1,
		byte	gt2
	)

Adds the groud-truth value to the co-occurance histogram matrix.

Here gt1 is the X-coordinate of the co-occurance histogram matrix and gt2 - Y-coordinate of the co-occurance histogram matrix.

Parameters

gt1	The ground-truth state (value) of the first node in edge.
gt2	The ground-truth state (class) of the second node in edge.

Definition at line 6 of file PriorEdge.cpp.

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◆ calculatePrior()

Mat DirectGraphicalModels::CPriorEdge::calculatePrior ( void ) const

protectedvirtual

Returns the prior edge probability.

This function returns the normalized class co-occurance histogram, which ought to be build during the training phase with help of the addEdgeGroundTruth() function. If the histogram was not built, this functions returns a uniform distribution "all ones".

Returns: Prior edge probability matrix: Mat(size: nStates x nStates; type: CV_32FC1)

Implements DirectGraphicalModels::CPrior.

Definition at line 13 of file PriorEdge.cpp.

Member Data Documentation

◆ m_normApp

ePotNormApproach DirectGraphicalModels::CPriorEdge::m_normApp

private

Flag specifying the co-occurance histogram matrix normalization approach (Ref. ePotNormApproach)

Definition at line 70 of file PriorEdge.h.

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

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

Public Member Functions

Protected Member Functions

Private Attributes

Additional Inherited Members