DirectGraphicalModels::CTrainNodeCvGM Class Reference

OpenCV Gaussian Model training class. More...

#include <TrainNodeCvGM.h>

Inheritance diagram for DirectGraphicalModels::CTrainNodeCvGM:

Collaboration diagram for DirectGraphicalModels::CTrainNodeCvGM:

Public Member Functions
	CTrainNodeCvGM (byte nStates, word nFeatures)
	Constructor. More...
	~CTrainNodeCvGM (void)
Public Member Functions inherited from DirectGraphicalModels::CTrainNodeCvGMM
	CTrainNodeCvGMM (byte nStates, word nFeatures, TrainNodeCvGMMParams params=TRAIN_NODE_CV_GMM_PARAMS_DEFAULT)
	Constructor. More...
	CTrainNodeCvGMM (byte nStates, word nFeatures, size_t maxSamples, byte nGausses=TRAIN_NODE_CV_GMM_PARAMS_DEFAULT.numGausses)
	Constructor. More...
virtual	~CTrainNodeCvGMM (void)
void	reset (void)
	Resets class variables. More...
void	save (const std::string &path, const std::string &name=std::string(), short idx=-1) const
	Saves the training data. More...
void	load (const std::string &path, const std::string &name=std::string(), short idx=-1)
	Loads the training data. More...
void	addFeatureVec (const Mat &featureVector, byte gt)
	Adds new feature vector. More...
void	train (bool doClean=false)
	Random model training. More...
Public Member Functions inherited from DirectGraphicalModels::CTrainNode
	CTrainNode (byte nStates, word nFeatures)
	Constructor. More...
virtual	~CTrainNode (void)=default
void	addFeatureVecs (const Mat &featureVectors, const Mat &gt)
	Adds a block of new feature vectors. More...
void	addFeatureVecs (const vec_mat_t &featureVectors, const Mat &gt)
	Adds a block of new feature vectors. More...
Mat	getNodePotentials (const Mat &featureVectors, const Mat &weights=Mat(), float Z=0.0f) const
	Returns a block of node potentials, based on the block of feature vector. More...
Mat	getNodePotentials (const vec_mat_t &featureVectors, const Mat &weights=Mat(), float Z=0.0f) const
	Returns a block of node potentials, based on the block of feature vector. More...
Mat	getNodePotentials (const Mat &featureVector, float weight, float Z=0.0f) const
	Returns the node potential, based on the feature vector. More...
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)
byte	getNumStates (void) const
	Returns number of states (classes) More...

Additional Inherited Members
Static Public Member Functions inherited from DirectGraphicalModels::CTrainNode
static std::shared_ptr< CTrainNode >	create (byte nodeRandomModel, byte nStates, word nFeatures)
	Factory method returning node trainer object. More...
Protected Member Functions inherited from DirectGraphicalModels::CTrainNodeCvGMM
void	saveFile (FILE *pFile) const
	Saves the random model into the file. More...
void	loadFile (FILE *pFile)
	Loads the random model from the file. More...
void	calculateNodePotentials (const Mat &featureVector, Mat &potential, Mat &mask) const
	Calculates the node potential, based on the feature vector. 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...
Protected Attributes inherited from DirectGraphicalModels::CTrainNodeCvGMM
std::vector< Ptr< ml::EM > >	m_vpEM
	Expectation Maximization for GMM parameters estimation. More...
CSamplesAccumulator *	m_pSamplesAcc
	Samples Accumulator. More...
Protected Attributes inherited from DirectGraphicalModels::CBaseRandomModel
byte	m_nStates
	The number of states (classes) More...

Detailed Description

OpenCV Gaussian Model training class.

This class realizes the generative training mechanism, based on the idea of approximating a the density of multi-dimensional random variables with a single multi-dimensional Gaussian function.

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 18 of file TrainNodeCvGM.h.

Constructor & Destructor Documentation

CTrainNodeCvGM()

DirectGraphicalModels::CTrainNodeCvGM::CTrainNodeCvGM ( byte  nStates, word  nFeatures  )

inline

Constructor.

Parameters

nStates	Number of states (classes)
nFeatures	Number of features

Definition at line 26 of file TrainNodeCvGM.h.

~CTrainNodeCvGM()

DirectGraphicalModels::CTrainNodeCvGM::~CTrainNodeCvGM ( void  )

inline

Definition at line 27 of file TrainNodeCvGM.h.

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

• D:/Projects/DGM/modules/DGM/TrainNodeCvGM.h