opencv 2.2.0
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#include <ml.hpp>
Public Types | |
enum | { IDENTITY = 0, SIGMOID_SYM = 1, GAUSSIAN = 2 } |
enum | { UPDATE_WEIGHTS = 1, NO_INPUT_SCALE = 2, NO_OUTPUT_SCALE = 4 } |
Public Member Functions | |
virtual CV_WRAP void | clear () |
virtual void | create (const CvMat *layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0) |
virtual CV_WRAP void | create (const cv::Mat &layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0) |
CV_WRAP | CvANN_MLP () |
CvANN_MLP (const CvMat *layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0) | |
CV_WRAP | CvANN_MLP (const cv::Mat &layerSizes, int activateFunc=CvANN_MLP::SIGMOID_SYM, double fparam1=0, double fparam2=0) |
int | get_layer_count () |
const CvMat * | get_layer_sizes () |
double * | get_weights (int layer) |
virtual float | predict (const CvMat *inputs, CV_OUT CvMat *outputs) const |
virtual CV_WRAP float | predict (const cv::Mat &inputs, cv::Mat &outputs) const |
virtual void | read (CvFileStorage *fs, CvFileNode *node) |
virtual int | train (const CvMat *inputs, const CvMat *outputs, const CvMat *sampleWeights, const CvMat *sampleIdx=0, CvANN_MLP_TrainParams params=CvANN_MLP_TrainParams(), int flags=0) |
virtual CV_WRAP int | train (const cv::Mat &inputs, const cv::Mat &outputs, const cv::Mat &sampleWeights, const cv::Mat &sampleIdx=cv::Mat(), CvANN_MLP_TrainParams params=CvANN_MLP_TrainParams(), int flags=0) |
virtual void | write (CvFileStorage *storage, const char *name) const |
virtual | ~CvANN_MLP () |
Protected Member Functions | |
virtual void | calc_activ_func (CvMat *xf, const double *bias) const |
virtual void | calc_activ_func_deriv (CvMat *xf, CvMat *deriv, const double *bias) const |
virtual void | calc_input_scale (const CvVectors *vecs, int flags) |
virtual void | calc_output_scale (const CvVectors *vecs, int flags) |
virtual void | init_weights () |
virtual bool | prepare_to_train (const CvMat *_inputs, const CvMat *_outputs, const CvMat *_sample_weights, const CvMat *sampleIdx, CvVectors *_ivecs, CvVectors *_ovecs, double **_sw, int _flags) |
virtual void | read_params (CvFileStorage *fs, CvFileNode *node) |
virtual void | scale_input (const CvMat *_src, CvMat *_dst) const |
virtual void | scale_output (const CvMat *_src, CvMat *_dst) const |
virtual void | set_activ_func (int _activ_func=SIGMOID_SYM, double _f_param1=0, double _f_param2=0) |
virtual int | train_backprop (CvVectors _ivecs, CvVectors _ovecs, const double *_sw) |
virtual int | train_rprop (CvVectors _ivecs, CvVectors _ovecs, const double *_sw) |
virtual void | write_params (CvFileStorage *fs) const |
Protected Attributes | |
int | activ_func |
double | f_param1 |
double | f_param2 |
CvMat * | layer_sizes |
int | max_buf_sz |
int | max_count |
double | max_val |
double | max_val1 |
double | min_val |
double | min_val1 |
CvANN_MLP_TrainParams | params |
cv::RNG * | rng |
CvMat * | sample_weights |
CvMat * | wbuf |
double ** | weights |
CV_WRAP CvANN_MLP::CvANN_MLP | ( | ) |
CvANN_MLP::CvANN_MLP | ( | const CvMat * | layerSizes, |
int | activateFunc = CvANN_MLP::SIGMOID_SYM , |
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double | fparam1 = 0 , |
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double | fparam2 = 0 |
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) |
virtual CvANN_MLP::~CvANN_MLP | ( | ) | [virtual] |
CV_WRAP CvANN_MLP::CvANN_MLP | ( | const cv::Mat & | layerSizes, |
int | activateFunc = CvANN_MLP::SIGMOID_SYM , |
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double | fparam1 = 0 , |
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double | fparam2 = 0 |
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) |
virtual void CvANN_MLP::calc_activ_func | ( | CvMat * | xf, |
const double * | bias | ||
) | const [protected, virtual] |
virtual void CvANN_MLP::calc_activ_func_deriv | ( | CvMat * | xf, |
CvMat * | deriv, | ||
const double * | bias | ||
) | const [protected, virtual] |
virtual void CvANN_MLP::calc_input_scale | ( | const CvVectors * | vecs, |
int | flags | ||
) | [protected, virtual] |
virtual void CvANN_MLP::calc_output_scale | ( | const CvVectors * | vecs, |
int | flags | ||
) | [protected, virtual] |
virtual CV_WRAP void CvANN_MLP::clear | ( | ) | [virtual] |
Reimplemented from CvStatModel.
virtual CV_WRAP void CvANN_MLP::create | ( | const cv::Mat & | layerSizes, |
int | activateFunc = CvANN_MLP::SIGMOID_SYM , |
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double | fparam1 = 0 , |
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double | fparam2 = 0 |
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) | [virtual] |
virtual void CvANN_MLP::create | ( | const CvMat * | layerSizes, |
int | activateFunc = CvANN_MLP::SIGMOID_SYM , |
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double | fparam1 = 0 , |
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double | fparam2 = 0 |
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) | [virtual] |
int CvANN_MLP::get_layer_count | ( | ) | [inline] |
const CvMat* CvANN_MLP::get_layer_sizes | ( | ) | [inline] |
double* CvANN_MLP::get_weights | ( | int | layer | ) | [inline] |
virtual void CvANN_MLP::init_weights | ( | ) | [protected, virtual] |
virtual CV_WRAP float CvANN_MLP::predict | ( | const cv::Mat & | inputs, |
cv::Mat & | outputs | ||
) | const [virtual] |
virtual bool CvANN_MLP::prepare_to_train | ( | const CvMat * | _inputs, |
const CvMat * | _outputs, | ||
const CvMat * | _sample_weights, | ||
const CvMat * | sampleIdx, | ||
CvVectors * | _ivecs, | ||
CvVectors * | _ovecs, | ||
double ** | _sw, | ||
int | _flags | ||
) | [protected, virtual] |
virtual void CvANN_MLP::read | ( | CvFileStorage * | fs, |
CvFileNode * | node | ||
) | [virtual] |
Reimplemented from CvStatModel.
virtual void CvANN_MLP::read_params | ( | CvFileStorage * | fs, |
CvFileNode * | node | ||
) | [protected, virtual] |
virtual void CvANN_MLP::scale_output | ( | const CvMat * | _src, |
CvMat * | _dst | ||
) | const [protected, virtual] |
virtual void CvANN_MLP::set_activ_func | ( | int | _activ_func = SIGMOID_SYM , |
double | _f_param1 = 0 , |
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double | _f_param2 = 0 |
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) | [protected, virtual] |
virtual int CvANN_MLP::train | ( | const CvMat * | inputs, |
const CvMat * | outputs, | ||
const CvMat * | sampleWeights, | ||
const CvMat * | sampleIdx = 0 , |
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CvANN_MLP_TrainParams | params = CvANN_MLP_TrainParams() , |
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int | flags = 0 |
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) | [virtual] |
virtual CV_WRAP int CvANN_MLP::train | ( | const cv::Mat & | inputs, |
const cv::Mat & | outputs, | ||
const cv::Mat & | sampleWeights, | ||
const cv::Mat & | sampleIdx = cv::Mat() , |
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CvANN_MLP_TrainParams | params = CvANN_MLP_TrainParams() , |
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int | flags = 0 |
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) | [virtual] |
virtual int CvANN_MLP::train_backprop | ( | CvVectors | _ivecs, |
CvVectors | _ovecs, | ||
const double * | _sw | ||
) | [protected, virtual] |
virtual int CvANN_MLP::train_rprop | ( | CvVectors | _ivecs, |
CvVectors | _ovecs, | ||
const double * | _sw | ||
) | [protected, virtual] |
virtual void CvANN_MLP::write | ( | CvFileStorage * | storage, |
const char * | name | ||
) | const [virtual] |
Reimplemented from CvStatModel.
virtual void CvANN_MLP::write_params | ( | CvFileStorage * | fs | ) | const [protected, virtual] |
int CvANN_MLP::activ_func [protected] |
double CvANN_MLP::f_param1 [protected] |
double CvANN_MLP::f_param2 [protected] |
CvMat* CvANN_MLP::layer_sizes [protected] |
int CvANN_MLP::max_buf_sz [protected] |
int CvANN_MLP::max_count [protected] |
double CvANN_MLP::max_val [protected] |
double CvANN_MLP::max_val1 [protected] |
double CvANN_MLP::min_val [protected] |
double CvANN_MLP::min_val1 [protected] |
CvANN_MLP_TrainParams CvANN_MLP::params [protected] |
cv::RNG* CvANN_MLP::rng [protected] |
CvMat* CvANN_MLP::sample_weights [protected] |
CvMat* CvANN_MLP::wbuf [protected] |
double** CvANN_MLP::weights [protected] |