#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

cv::ocl::CvSVM_OCL::CvSVM_OCL ( )

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

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

protectedvirtual

Reimplemented from CvSVM.

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

protectedvirtual

Reimplemented from CvSVM.

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

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

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

virtual

Reimplemented from CvSVM.

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

virtual

Reimplemented from CvSVM.

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

protected

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

ocl/include/opencv2/ocl/ocl.hpp

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation