SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_sl_par structure More...

#include <cs_par.h>

Collaboration diagram for sb_cs::SbSvlDlPar:

[legend]

Data Fields
String	network_path
	Network weights file path with extension SB_DL_WEIGHTS_EXT. More...

SbSvlDlParNetwork	network
	Network parameters. More...

int	pre_trained
	The network is loaded as pre-trained, i.e. network parameters are not randomly initialized before training but they start from a pre-existing configuration. More...

SbSvlDlParPerturbation	perturbations
	Perturbations for deep learning training. More...

float	learning_rate
	Learning rate. More...

int	num_epochs
	Number of epochs. More...

int	batch_size
	Size of the batch used during SVL. More...

float	validation_percentage
	Validation percentage. More...

int	save_best
	At the end of the training, the best internal parameters configuration is recovered. More...

SbSize	tile_factor
	Number of horizontal and vertical tiles used to process the image. More...

int	auto_tiling
	Enable the automatic tiling for image processing. More...

SbSizeFlt	scale
	Scale to applied to the image before the processing. More...

SbLossFnType	loss_fn
	Loss function. More...

Detailed Description

SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_sl_par structure

Definition at line 454 of file cs_par.h.

Field Documentation

◆ auto_tiling

int sb_cs::SbSvlDlPar::auto_tiling

Enable the automatic tiling for image processing.

See also: sb_t_svl_dl_par::auto_tiling

Definition at line 521 of file cs_par.h.

◆ batch_size

int sb_cs::SbSvlDlPar::batch_size

Size of the batch used during SVL.

See also: sb_t_svl_dl_par::batch_size

Definition at line 497 of file cs_par.h.

◆ learning_rate

float sb_cs::SbSvlDlPar::learning_rate

Learning rate.

See also: sb_t_svl_dl_par::learning_rate

Definition at line 485 of file cs_par.h.

◆ loss_fn

SbLossFnType sb_cs::SbSvlDlPar::loss_fn

Loss function.

See also: sb_t_svl_dl_par::loss_fn

Definition at line 533 of file cs_par.h.

◆ network

SbSvlDlParNetwork sb_cs::SbSvlDlPar::network

Network parameters.

See also: sb_t_svl_dl_par::network

Definition at line 467 of file cs_par.h.

◆ network_path

String sb_cs::SbSvlDlPar::network_path

Network weights file path with extension SB_DL_WEIGHTS_EXT.

See also: sb_t_svl_dl_par::network_path

Definition at line 461 of file cs_par.h.

◆ num_epochs

int sb_cs::SbSvlDlPar::num_epochs

Number of epochs.

See also: sb_t_svl_dl_par::num_epochs

Definition at line 491 of file cs_par.h.

◆ perturbations

SbSvlDlParPerturbation sb_cs::SbSvlDlPar::perturbations

Perturbations for deep learning training.

See also: sb_t_svl_dl_par::perturbations

Definition at line 479 of file cs_par.h.

◆ pre_trained

int sb_cs::SbSvlDlPar::pre_trained

The network is loaded as pre-trained, i.e. network parameters are not randomly initialized before training but they start from a pre-existing configuration.