Project Parameters. More...

Collaboration diagram for Parameters:

Data Structures
class	sb_cs::SbParSl
	Shallow Learning modules parameters class that wraps the sb_t_par_sl structure More...

class	sb_cs::SbParLevel
	Level parameters Class that wraps the sb_t_level_par structure More...

class	sb_cs::SbPerturbation
	Perturbations Class that wraps the sb_t_perturbation structure More...

class	sb_cs::SbParModel
	Model parameters class that wraps the sb_t_par_model structure More...

class	sb_cs::SbDevicesPar
	Defines computing device types that wraps the sb_t_devices_par structure More...

class	sb_cs::SbSvlDlParNetwork
	Deep Learning network parameters class that wraps the sb_t_svl_dl_par_network structure More...

class	sb_cs::SbSvlDlParPerturbation
	Describes the perturbation of the image / defect, it wraps the sb_t_svl_dl_par_perturbation structure More...

class	sb_cs::SbSvlDlPar
	SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_sl_par structure More...

class	sb_cs::SbSvlSlPar
	SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_sl_par structure More...

class	sb_cs::SbSvlPar
	Svl parameters (not used at the moment) that wraps the sb_t_svl_par structure More...

class	sb_cs::SbPar
	Parameters Class that wraps the sb_t_par structure. You must call the Dispose() method to free all the resources of the returned instance. More...

Enumerations
enum class	sb_cs::SbProjectType : int { sb_cs::SbProjectType::SB_PROJECT_TYPE_RETINA = SB_PROJECT_TYPE_RETINA , sb_cs::SbProjectType::SB_PROJECT_TYPE_SURFACE = SB_PROJECT_TYPE_SURFACE , sb_cs::SbProjectType::SB_PROJECT_TYPE_DEEP_SURFACE = SB_PROJECT_TYPE_DEEP_SURFACE , sb_cs::SbProjectType::SB_PROJECT_TYPE_DEEP_CORTEX = SB_PROJECT_TYPE_DEEP_CORTEX }
	Project type that wraps the sb_t_project_type enum More...

enum class	sb_cs::SbImageCircularityType : int { sb_cs::SbImageCircularityType::SB_IMAGE_CIRCULARITY_TYPE_NONE = SB_IMAGE_CIRCULARITY_TYPE_NONE , sb_cs::SbImageCircularityType::SB_IMAGE_CIRCULARITY_TYPE_HORIZONTAL = SB_IMAGE_CIRCULARITY_TYPE_HORIZONTAL , sb_cs::SbImageCircularityType::SB_IMAGE_CIRCULARITY_TYPE_VERTICAL = SB_IMAGE_CIRCULARITY_TYPE_VERTICAL }
	Image circularity that wraps the sb_t_image_circularity_type enum More...

enum class	sb_cs::SbFloatingPointPrecisionType : int { sb_cs::SbFloatingPointPrecisionType::SB_FLOATING_POINT_OPS_TYPE_SINGLE_PRECISION = SB_FLOATING_POINT_OPS_TYPE_SINGLE_PRECISION , sb_cs::SbFloatingPointPrecisionType::SB_FLOATING_POINT_OPS_TYPE_HALF_PRECISION = SB_FLOATING_POINT_OPS_TYPE_HALF_PRECISION }
	Floating point precision type that wraps the sb_t_floating_point_op_type enum More...

enum class	sb_cs::SbSvlParOptimizationMode : int { sb_cs::SbSvlParOptimizationMode::SB_SVL_PAR_OPTIMIZATION_TIME_SLOW = SB_SVL_PAR_OPTIMIZATION_TIME_SLOW , sb_cs::SbSvlParOptimizationMode::SB_SVL_PAR_OPTIMIZATION_TIME_MEDIUM = SB_SVL_PAR_OPTIMIZATION_TIME_MEDIUM , sb_cs::SbSvlParOptimizationMode::SB_SVL_PAR_OPTIMIZATION_TIME_FAST = SB_SVL_PAR_OPTIMIZATION_TIME_FAST , sb_cs::SbSvlParOptimizationMode::SB_SVL_PAR_OPTIMIZATION_USE_SELECTED = SB_SVL_PAR_OPTIMIZATION_USE_SELECTED }
	Svl par optimization mode that wraps the sb_t_svl_par_optimization_mode enum More...

enum class	sb_cs::SbNetworkType : int { sb_cs::SbNetworkType::SB_NETWORK_TYPE_EFFICIENTNET_B0 = SB_NETWORK_TYPE_EFFICIENTNET_B0 , sb_cs::SbNetworkType::SB_NETWORK_TYPE_EFFICIENTNET_B1 = SB_NETWORK_TYPE_EFFICIENTNET_B1 , sb_cs::SbNetworkType::SB_NETWORK_TYPE_EFFICIENTNET_B2 = SB_NETWORK_TYPE_EFFICIENTNET_B2 , sb_cs::SbNetworkType::SB_NETWORK_TYPE_SDINET0_331 = SB_NETWORK_TYPE_SDINET0_331 , sb_cs::SbNetworkType::SB_NETWORK_TYPE_SDINET0_331x128 = SB_NETWORK_TYPE_SDINET0_331x128 , sb_cs::SbNetworkType::SB_NETWORK_TYPE_SDINET0_400x160 = SB_NETWORK_TYPE_SDINET0_400x160 , sb_cs::SbNetworkType::SB_NETWORK_TYPE_ICNET0_64 = SB_NETWORK_TYPE_ICNET0_64 , sb_cs::SbNetworkType::SB_NETWORK_TYPE_ICNET0_128 = SB_NETWORK_TYPE_ICNET0_128 }
	Deep Learning Network type that wraps the sb_t_network_type enum More...

enum class	sb_cs::SbLossFnType : int { sb_cs::SbLossFnType::SB_LOSS_FN_TYPE_CCE = SB_LOSS_FN_TYPE_CCE , sb_cs::SbLossFnType::SB_LOSS_FN_TYPE_FOCAL = SB_LOSS_FN_TYPE_FOCAL , sb_cs::SbLossFnType::SB_LOSS_FN_TYPE_BCE = SB_LOSS_FN_TYPE_BCE }
	Enumerates the type of loss function, it wraps the sb_t_loss_fn_type enum. More...

enum class	sb_cs::SbPerturbationMode : int { sb_cs::SbPerturbationMode::SB_PERTURBATION_MODE_ONLINE = SB_PERTURBATION_MODE_ONLINE , sb_cs::SbPerturbationMode::SB_PERTURBATION_MODE_OFFLINE = SB_PERTURBATION_MODE_OFFLINE , sb_cs::SbPerturbationMode::SB_PERTURBATION_MODE_BOTH = SB_PERTURBATION_MODE_BOTH }
	Enumerates the mode of the perturbations, it wraps the sb_t_perturbation_mode enum. More...

enum class	sb_cs::SbPerturbationType : int { sb_cs::SbPerturbationType::SB_PERTURBATION_TYPE_IMAGE = SB_PERTURBATION_TYPE_IMAGE , sb_cs::SbPerturbationType::SB_PERTURBATION_TYPE_DEFECTS = SB_PERTURBATION_TYPE_DEFECTS , sb_cs::SbPerturbationType::SB_PERTURBATION_TYPE_BOTH = SB_PERTURBATION_TYPE_BOTH }
	Enumerates the range of application of the perturbations, it wraps the sb_t_perturbation_type enums. More...

Detailed Description

Project Parameters.

Enumeration Type Documentation

◆ SbFloatingPointPrecisionType

enum class sb_cs::SbFloatingPointPrecisionType : int

strong

Floating point precision type that wraps the sb_t_floating_point_op_type enum

Enumerator
SB_FLOATING_POINT_OPS_TYPE_SINGLE_PRECISION	Single Precision (Float32)
SB_FLOATING_POINT_OPS_TYPE_HALF_PRECISION	Single Precision (Float16)

Definition at line 36 of file cs_par.h.

◆ SbImageCircularityType

enum class sb_cs::SbImageCircularityType : int

strong

Image circularity that wraps the sb_t_image_circularity_type enum

Enumerator
SB_IMAGE_CIRCULARITY_TYPE_NONE	No image circularity.
SB_IMAGE_CIRCULARITY_TYPE_HORIZONTAL	Horizontal image circularity.
SB_IMAGE_CIRCULARITY_TYPE_VERTICAL	Vertical image circularity.

Definition at line 26 of file cs_par.h.

◆ SbLossFnType

enum class sb_cs::SbLossFnType : int

strong

Enumerates the type of loss function, it wraps the sb_t_loss_fn_type enum.

See also: Deep Learning Perturbations

Enumerator
SB_LOSS_FN_TYPE_CCE	CCE loss.
SB_LOSS_FN_TYPE_FOCAL	Foacal loss.
SB_LOSS_FN_TYPE_BCE	BCE loss.

Definition at line 342 of file cs_par.h.

◆ SbNetworkType

enum class sb_cs::SbNetworkType : int

strong

Deep Learning Network type that wraps the sb_t_network_type enum

Enumerator
SB_NETWORK_TYPE_EFFICIENTNET_B0	Deep Learning EfficientNet b0.
SB_NETWORK_TYPE_EFFICIENTNET_B1	Deep Learning EfficientNet b1.
SB_NETWORK_TYPE_EFFICIENTNET_B2	Deep Learning EfficientNet b2.
SB_NETWORK_TYPE_SDINET0_331	Deep Learning Surface Defects Inspection Network 0 with input size to 331x331.
SB_NETWORK_TYPE_SDINET0_331x128	Deep Learning Surface Defects Inspection Network 0 with input size to 331x128.
SB_NETWORK_TYPE_SDINET0_400x160	Deep Learning Surface Defects Inspection Network 0 with input size to 400x160.
SB_NETWORK_TYPE_ICNET0_64	Deep Learning Image Classification Network 0 with input size 64x64.
SB_NETWORK_TYPE_ICNET0_128	Deep Learning Image Classification Network 0 with input size 128x128.

Definition at line 265 of file cs_par.h.

◆ SbPerturbationMode

enum class sb_cs::SbPerturbationMode : int

strong

Enumerates the mode of the perturbations, it wraps the sb_t_perturbation_mode enum.

See also: Deep Learning Perturbations

Enumerator
SB_PERTURBATION_MODE_ONLINE	Online perturbation.
SB_PERTURBATION_MODE_OFFLINE	Offline perturbation.
SB_PERTURBATION_MODE_BOTH	Both online and offline perturbations.

Definition at line 355 of file cs_par.h.

◆ SbPerturbationType

enum class sb_cs::SbPerturbationType : int

strong

Enumerates the range of application of the perturbations, it wraps the sb_t_perturbation_type enums.

See also: Deep Learning Perturbations

Enumerator
SB_PERTURBATION_TYPE_IMAGE	The whole image is perturbated.
SB_PERTURBATION_TYPE_DEFECTS	Only the defect area is perturbated.
SB_PERTURBATION_TYPE_BOTH	Both image and defects perturbation types.

Definition at line 366 of file cs_par.h.

◆ SbProjectType

enum class sb_cs::SbProjectType : int

strong

Project type that wraps the sb_t_project_type enum

Enumerator
SB_PROJECT_TYPE_RETINA	Project Retina.
SB_PROJECT_TYPE_SURFACE	Project Surface.
SB_PROJECT_TYPE_DEEP_SURFACE	Project Deep Surface.
SB_PROJECT_TYPE_DEEP_CORTEX	Project Deep Cortex.

Definition at line 15 of file cs_par.h.

◆ SbSvlParOptimizationMode

enum class sb_cs::SbSvlParOptimizationMode : int

strong

Svl par optimization mode that wraps the sb_t_svl_par_optimization_mode enum

Enumerator
SB_SVL_PAR_OPTIMIZATION_TIME_SLOW	SVL promotes accuracy with respect to execution time. Retina: It chooses the best classificator and the most significant features indipendently for each model. Surface: SVL chooses the best classificator and the most significant features indipendently for each model. At least three features are chosen.
SB_SVL_PAR_OPTIMIZATION_TIME_MEDIUM	Retina: SVL chooses the best classificator and the best feature for each model, only one feature for each model. Surface: SVL chooses the best classificator and the most significant features indipendently for each model. At least two features are chosen.
SB_SVL_PAR_OPTIMIZATION_TIME_FAST	Retina: SVL finds the best classificator and the best feature and sets them for all model. Surface: SVL chooses the best classificator and the most significant features indipendently for each model. At least one feature is chosen.
SB_SVL_PAR_OPTIMIZATION_USE_SELECTED	SVL will use the features selected by the user and which are compatible with the data set. The user can select the features with the parameter sb_t_svl_par.features.

Definition at line 45 of file cs_par.h.

Data Structures

Enumerations

Detailed Description

Enumeration Type Documentation

◆ SbFloatingPointPrecisionType

◆ SbImageCircularityType

◆ SbLossFnType

◆ SbNetworkType

◆ SbPerturbationMode

◆ SbPerturbationType

◆ SbProjectType

◆ SbSvlParOptimizationMode