SqueezeBrains SDK 1.18
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Svl parameters (not used at the moment) that wraps the sb_t_svl_par structure More...
#include <cs_par.h>
Data Fields | |
String | project_path |
Path of the project, where the SVL will find the images. More... | |
String | image_ext |
Extensions of the images. More... | |
float | free_memory_percentage |
Percentage of system memory that the svl tries to leave free. More... | |
int | num_threads |
Maximum number of OpenMP threads that SVL can use. More... | |
int | reproducibility |
Enable the reproducibility of the training. More... | |
SbImageCircularityType | image_circularity_type |
Image circularity type. More... | |
SbDevicesPar | devices |
Devices used for training. More... | |
SbSvlSlPar | sl |
Shallow Learning modules parameters. More... | |
SbSvlDlPar | dl |
Deep Learning modules parameters. More... | |
sb_fp_svl_progress | fp_progress |
The SVL calls this callback to notify the user the results of SVL. More... | |
sb_fp_svl_command | fp_command |
Callback called by SVL to allow the user to decide how to continue when particular situations happen, see sb_t_svl_stop_reason . More... | |
void * | user_data |
Pointer to data which is passed to the callbacks. More... | |
Svl parameters (not used at the moment) that wraps the sb_t_svl_par structure
SbDevicesPar sb_cs::SbSvlPar::devices |
SbSvlDlPar sb_cs::SbSvlPar::dl |
sb_fp_svl_command sb_cs::SbSvlPar::fp_command |
Callback called by SVL to allow the user to decide how to continue when particular situations happen, see sb_t_svl_stop_reason .
sb_fp_svl_progress sb_cs::SbSvlPar::fp_progress |
The SVL calls this callback to notify the user the results of SVL.
float sb_cs::SbSvlPar::free_memory_percentage |
Percentage of system memory that the svl tries to leave free.
SbImageCircularityType sb_cs::SbSvlPar::image_circularity_type |
Image circularity type.
String sb_cs::SbSvlPar::image_ext |
int sb_cs::SbSvlPar::num_threads |
Maximum number of OpenMP threads that SVL can use.
String sb_cs::SbSvlPar::project_path |
Path of the project, where the SVL will find the images.
int sb_cs::SbSvlPar::reproducibility |
Enable the reproducibility of the training.
SbSvlSlPar sb_cs::SbSvlPar::sl |
Shallow Learning modules parameters.
void* sb_cs::SbSvlPar::user_data |
Pointer to data which is passed to the callbacks.