CvEM Class Reference

#include <legacy.hpp>

Inheritance diagram for CvEM:

Public Types
enum	{ COV_MAT_SPHERICAL =cv::EM::COV_MAT_SPHERICAL, COV_MAT_DIAGONAL =cv::EM::COV_MAT_DIAGONAL, COV_MAT_GENERIC =cv::EM::COV_MAT_GENERIC }
enum	{ START_E_STEP =cv::EM::START_E_STEP, START_M_STEP =cv::EM::START_M_STEP, START_AUTO_STEP =cv::EM::START_AUTO_STEP }

Public Member Functions
	CvEM ()
	CvEM (const CvMat *samples, const CvMat *sampleIdx=0, CvEMParams params=CvEMParams(), CvMat *labels=0)
virtual	~CvEM ()
virtual bool	train (const CvMat *samples, const CvMat *sampleIdx=0, CvEMParams params=CvEMParams(), CvMat *labels=0)
virtual float	predict (const CvMat *sample, CV_OUT CvMat *probs) const
	CvEM (const cv::Mat &samples, const cv::Mat &sampleIdx=cv::Mat(), CvEMParams params=CvEMParams())
virtual bool	train (const cv::Mat &samples, const cv::Mat &sampleIdx=cv::Mat(), CvEMParams params=CvEMParams(), CV_OUT cv::Mat *labels=0)
virtual float	predict (const cv::Mat &sample, CV_OUT cv::Mat *probs=0) const
virtual double	calcLikelihood (const cv::Mat &sample) const
int	getNClusters () const
cv::Mat	getMeans () const
void	getCovs (CV_OUT std::vector< cv::Mat > &covs) const
cv::Mat	getWeights () const
cv::Mat	getProbs () const
double	getLikelihood () const
virtual void	clear ()
int	get_nclusters () const
const CvMat *	get_means () const
const CvMat **	get_covs () const
const CvMat *	get_weights () const
const CvMat *	get_probs () const
double	get_log_likelihood () const
virtual void	read (CvFileStorage *fs, CvFileNode *node)
virtual void	write (CvFileStorage *fs, const char *name) const
Public Member Functions inherited from CvStatModel
	CvStatModel ()
virtual	~CvStatModel ()
virtual void	save (const char *filename, const char *name=0) const
virtual void	load (const char *filename, const char *name=0)

Protected Member Functions
void	set_mat_hdrs ()

Protected Attributes
cv::EM	emObj
cv::Mat	probs
double	logLikelihood
CvMat	meansHdr
std::vector< CvMat >	covsHdrs
std::vector< CvMat * >	covsPtrs
CvMat	weightsHdr
CvMat	probsHdr
Protected Attributes inherited from CvStatModel
const char *	default_model_name

Member Enumeration Documentation

anonymous enum

anonymous enum

Enumerator
COV_MAT_SPHERICAL
COV_MAT_DIAGONAL
COV_MAT_GENERIC

anonymous enum

anonymous enum

Enumerator
START_E_STEP
START_M_STEP
START_AUTO_STEP

Constructor & Destructor Documentation

CvEM() [1/3]

CvEM::CvEM

(

)

CvEM() [2/3]

CvEM::CvEM	(	const CvMat *	samples,
		const CvMat *	sampleIdx = 0,
		CvEMParams	params = CvEMParams(),
		CvMat *	labels = 0
	)

~CvEM()

virtual CvEM::~CvEM ( )

virtual

CvEM() [3/3]

CvEM::CvEM	(	const cv::Mat &	samples,
		const cv::Mat &	sampleIdx = cv::Mat(),
		CvEMParams	params = CvEMParams()
	)

Member Function Documentation

calcLikelihood()

virtual double CvEM::calcLikelihood ( const cv::Mat &  sample ) const

virtual

clear()

virtual void CvEM::clear ( )

virtual

Reimplemented from CvStatModel.

get_covs()

const CvMat** CvEM::get_covs

(

)

const

get_log_likelihood()

double CvEM::get_log_likelihood ( ) const

inline

get_means()

const CvMat* CvEM::get_means

(

)

const

get_nclusters()

int CvEM::get_nclusters

(

)

const

get_probs()

const CvMat* CvEM::get_probs

(

)

const

get_weights()

const CvMat* CvEM::get_weights

(

)

const

getCovs()

void CvEM::getCovs

(

CV_OUT std::vector< cv::Mat > &

covs

)

const

getLikelihood()

double CvEM::getLikelihood ( ) const

inline

getMeans()

cv::Mat CvEM::getMeans

(

)

const

getNClusters()

int CvEM::getNClusters

(

)

const

getProbs()

cv::Mat CvEM::getProbs

(

)

const

getWeights()

cv::Mat CvEM::getWeights

(

)

const

predict() [1/2]

virtual float CvEM::predict ( const CvMat *  sample, CV_OUT CvMat *  probs  ) const

virtual

predict() [2/2]

virtual float CvEM::predict ( const cv::Mat &  sample, CV_OUT cv::Mat *  probs = 0  ) const

virtual

read()

virtual void CvEM::read ( CvFileStorage *  fs, CvFileNode *  node  )

virtual

Reimplemented from CvStatModel.

set_mat_hdrs()

void CvEM::set_mat_hdrs ( )

protected

train() [1/2]

virtual bool CvEM::train ( const CvMat *  samples, const CvMat *  sampleIdx = 0, CvEMParams  params = CvEMParams(), CvMat *  labels = 0  )

virtual

train() [2/2]

virtual bool CvEM::train ( const cv::Mat &  samples, const cv::Mat &  sampleIdx = cv::Mat(), CvEMParams  params = CvEMParams(), CV_OUT cv::Mat *  labels = 0  )

virtual

write()

virtual void CvEM::write ( CvFileStorage *  fs, const char *  name  ) const

virtual

Reimplemented from CvStatModel.

Member Data Documentation

covsHdrs

std::vector<CvMat> CvEM::covsHdrs

protected

covsPtrs

std::vector<CvMat*> CvEM::covsPtrs

protected

emObj

cv::EM CvEM::emObj

protected

logLikelihood

double CvEM::logLikelihood

protected

meansHdr

CvMat CvEM::meansHdr

protected

probs

cv::Mat CvEM::probs

protected

probsHdr

CvMat CvEM::probsHdr

protected

weightsHdr

CvMat CvEM::weightsHdr

protected

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

• legacy.hpp