DirectGraphicalModels::CPriorNode Class Reference

Node prior probability estimation class More...

#include <PriorNode.h>

Inheritance diagram for DirectGraphicalModels::CPriorNode:

Collaboration diagram for DirectGraphicalModels::CPriorNode:

Public Member Functions
	CPriorNode (byte nStates)
	Constructor. More...
	~CPriorNode (void)
void	addNodeGroundTruth (const Mat &gt)
	Adds ground truth values to the co-occurance histogram vector. More...
void	addNodeGroundTruth (byte gt)
	Adds a ground truth value to the co-occurance histogram vector. 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
	Calculates the prior probabilies. 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...

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

Node 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 14 of file PriorNode.h.

Constructor & Destructor Documentation

CPriorNode()

DirectGraphicalModels::CPriorNode::CPriorNode ( byte  nStates )

inline

Constructor.

Parameters

nStates

Number of states (classes)

Definition at line 21 of file PriorNode.h.

~CPriorNode()

DirectGraphicalModels::CPriorNode::~CPriorNode ( void  )

inline

Definition at line 22 of file PriorNode.h.

Member Function Documentation

addNodeGroundTruth() [1/2]

void DirectGraphicalModels::CPriorNode::addNodeGroundTruth

(

const Mat &

gt

)

Adds ground truth values to the co-occurance histogram vector.

Parameters

gt	Matrix, each element of which is a ground-truth state (class)

Definition at line 7 of file PriorNode.cpp.

Here is the caller graph for this function:

addNodeGroundTruth() [2/2]

void DirectGraphicalModels::CPriorNode::addNodeGroundTruth

(

byte

gt

)

Adds a ground truth value to the co-occurance histogram vector.

Parameters

gt	The ground-truth state (class)

Definition at line 12 of file PriorNode.cpp.

calculatePrior()

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

protectedvirtual

Calculates the prior probabilies.

This function returns the normalized class co-occurance histogram, which ought to be build during the training phase with help of the addNodeGroundTruth() function.

Returns

Prior node probability vector: Mat(size: nStates x 1; type: CV_32FC1)

Implements DirectGraphicalModels::CPrior.

Definition at line 18 of file PriorNode.cpp.

---

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

• D:/Projects/DGM/modules/DGM/PriorNode.h
• D:/Projects/DGM/modules/DGM/PriorNode.cpp