cv::ocl::CvSVM_OCL Class Reference

#include <ocl.hpp>

Inheritance diagram for cv::ocl::CvSVM_OCL:

Public Member Functions
	CvSVM_OCL ()
	CvSVM_OCL (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams())
float	predict (const int row_index, Mat &src, bool returnDFVal=false) const
void	predict (cv::InputArray samples, cv::OutputArray results) const
float	predict (const cv::Mat &sample, bool returnDFVal=false) const
float	predict (const CvMat *samples, CV_OUT CvMat *results) const
Public Member Functions inherited from CvSVM
	CvSVM ()
virtual	~CvSVM ()
	CvSVM (const CvMat *trainData, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, CvSVMParams params=CvSVMParams())
virtual bool	train (const CvMat *trainData, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, CvSVMParams params=CvSVMParams())
virtual bool	train_auto (const CvMat *trainData, const CvMat *responses, const CvMat *varIdx, const CvMat *sampleIdx, CvSVMParams params, int kfold=10, CvParamGrid Cgrid=get_default_grid(CvSVM::C), CvParamGrid gammaGrid=get_default_grid(CvSVM::GAMMA), CvParamGrid pGrid=get_default_grid(CvSVM::P), CvParamGrid nuGrid=get_default_grid(CvSVM::NU), CvParamGrid coeffGrid=get_default_grid(CvSVM::COEF), CvParamGrid degreeGrid=get_default_grid(CvSVM::DEGREE), bool balanced=false)
virtual float	predict (const CvMat *sample, bool returnDFVal=false) const
	CvSVM (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams())
virtual bool	train (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), CvSVMParams params=CvSVMParams())
virtual bool	train_auto (const cv::Mat &trainData, const cv::Mat &responses, const cv::Mat &varIdx, const cv::Mat &sampleIdx, CvSVMParams params, int k_fold=10, CvParamGrid Cgrid=CvSVM::get_default_grid(CvSVM::C), CvParamGrid gammaGrid=CvSVM::get_default_grid(CvSVM::GAMMA), CvParamGrid pGrid=CvSVM::get_default_grid(CvSVM::P), CvParamGrid nuGrid=CvSVM::get_default_grid(CvSVM::NU), CvParamGrid coeffGrid=CvSVM::get_default_grid(CvSVM::COEF), CvParamGrid degreeGrid=CvSVM::get_default_grid(CvSVM::DEGREE), bool balanced=false)
void	predict (cv::InputArray samples, cv::OutputArray results) const
virtual int	get_support_vector_count () const
virtual const float *	get_support_vector (int i) const
virtual CvSVMParams	get_params () const
virtual void	clear ()
virtual void	write (CvFileStorage *storage, const char *name) const
virtual void	read (CvFileStorage *storage, CvFileNode *node)
int	get_var_count () 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
float	predict (const int row_index, int row_len, Mat &src, bool returnDFVal=false) const
void	create_kernel ()
void	create_solver ()
Protected Member Functions inherited from CvSVM
virtual bool	set_params (const CvSVMParams &params)
virtual bool	train1 (int sample_count, int var_count, const float **samples, const void *responses, double Cp, double Cn, CvMemStorage *_storage, double *alpha, double &rho)
virtual bool	do_train (int svm_type, int sample_count, int var_count, const float **samples, const CvMat *responses, CvMemStorage *_storage, double *alpha)
virtual float	predict (const float *row_sample, int row_len, bool returnDFVal=false) const
virtual void	write_params (CvFileStorage *fs) const
virtual void	read_params (CvFileStorage *fs, CvFileNode *node)
void	optimize_linear_svm ()

Additional Inherited Members
Public Types inherited from CvSVM
enum	{   C_SVC =100, NU_SVC =101, ONE_CLASS =102, EPS_SVR =103,   NU_SVR =104 }
enum	{ LINEAR =0, POLY =1, RBF =2, SIGMOID =3 }
enum	{   C =0, GAMMA =1, P =2, NU =3,   COEF =4, DEGREE =5 }
Static Public Member Functions inherited from CvSVM
static CvParamGrid	get_default_grid (int param_id)
Protected Attributes inherited from CvSVM
CvSVMParams	params
CvMat *	class_labels
int	var_all
float **	sv
int	sv_total
CvMat *	var_idx
CvMat *	class_weights
CvSVMDecisionFunc *	decision_func
CvMemStorage *	storage
CvSVMSolver *	solver
CvSVMKernel *	kernel
Protected Attributes inherited from CvStatModel
const char *	default_model_name

Detailed Description

*************** SVM *************!

Constructor & Destructor Documentation

CvSVM_OCL() [1/2]

cv::ocl::CvSVM_OCL::CvSVM_OCL

(

)

CvSVM_OCL() [2/2]

cv::ocl::CvSVM_OCL::CvSVM_OCL	(	const cv::Mat &	trainData,
		const cv::Mat &	responses,
		const cv::Mat &	varIdx = cv::Mat(),
		const cv::Mat &	sampleIdx = cv::Mat(),
		CvSVMParams	params = CvSVMParams()
	)

Member Function Documentation

create_kernel()

void cv::ocl::CvSVM_OCL::create_kernel ( )

protectedvirtual

Reimplemented from CvSVM.

create_solver()

void cv::ocl::CvSVM_OCL::create_solver ( )

protectedvirtual

Reimplemented from CvSVM.

predict() [1/5]

float cv::ocl::CvSVM_OCL::predict	(	const int	row_index,
		Mat &	src,
		bool	returnDFVal = false
	)		const

predict() [2/5]

void cv::ocl::CvSVM_OCL::predict	(	cv::InputArray	samples,
		cv::OutputArray	results
	)		const

predict() [3/5]

float cv::ocl::CvSVM_OCL::predict ( const cv::Mat &  sample, bool  returnDFVal = false  ) const

virtual

Reimplemented from CvSVM.

predict() [4/5]

float cv::ocl::CvSVM_OCL::predict ( const CvMat *  samples, CV_OUT CvMat *  results  ) const

virtual

Reimplemented from CvSVM.

predict() [5/5]

float cv::ocl::CvSVM_OCL::predict ( const int  row_index, int  row_len, Mat &  src, bool  returnDFVal = false  ) const

protected

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

• ocl/include/opencv2/ocl/ocl.hpp