Data Structures

Here are the data structures with brief descriptions:

[detail level 12]

►Nsb_cs	SB Namespace
CSb	Sb Main Class
CSbBgra	bgra class that wraps the sb_t_bgra structure
CSbBlob	Blob class that wraps the sb_t_blob structure
CSbBlobPar	Blob analysis parameters Class that wraps the structure sb_t_blob_par
CSbCommon	Common class
CSbDefines	Defines class
CSbDeviceInfo	Characteristics of a computing device. It wraps the sb_t_device_info structure.
CSbDevicesPar	Defines computing device types that wraps the sb_t_devices_par structure
CSbFolder	Folder Class that wraps the sb_t_folder structure
CSbImage	SbImage class that wraps the sb_t_image structure. You must call the Dispose() method to free all the resources of the returned instance.
CSbInfo	Info class that wraps the sb_t_info structure. You must call the Dispose() method to free all the resources of the returned instance.
CSbLicense	License Class that wraps the sb_t_license structure. You must call the Dispose() method to free all the resources of the returned instance.
CSbLicenseConfiguration	License configuration class that wraps the sb_t_license_configuration structure
CSbLicenseModule	License module Class that wraps the sb_t_license_module structure
CSbMemoryInfo	Memory information. It wraps the sb_t_memory_info structure.
CSbPar	Parameters Class that wraps the sb_t_par structure. You must call the Dispose() method to free all the resources of the returned instance.
CSbParLevel	Level parameters Class that wraps the sb_t_level_par structure
CSbParModel	Model parameters class that wraps the sb_t_par_model structure
CSbParSl	Shallow Learning modules parameters class that wraps the sb_t_par_sl structure
CSbPerturbation	Perturbations Class that wraps the sb_t_perturbation structure
CSbPoint	Point class that wraps the sb_t_point structure
CSbPoint2dF	Point class that wraps the sb_t_point2d_f structure
CSbProject	Project Class You must call the Dispose() method to free all the resources of the returned instance.
CSbProjectInfo	Project info Class
CSbRange	Range value class that wraps the sb_t_range structure
CSbRangeFlt	Range value class that wraps the sb_t_range_flt structure
CSbRect	Rectangle class that wraps the sb_t_rect structure
CSbRes	Class of the results of the image elaboration with the SbProject::Detection method. The class wraps the sb_t_res structure.
CSbResModel	Model res Class that wraps the sb_t_res_model structure
CSbResOCR	Results of OCR analysis. The class wraps the sb_t_ocr_res structure
CSbRgba	rgba class that wraps the sb_t_rgba structure
CSbRleSeg	Image rle segment enumeration that wraps the sb_t_rle_seg structure
CSbRoi	ROI Class that wraps the sb_t_roi structure. You must call the Dispose() method to free all the resources of the returned instance.
CSbSample	Sample class that wraps the sb_t_sample structure.
CSbSampleWeightsImage	Sample weight image Class that wraps the sb_t_sample_weights_image structure.
CSbSize	Size class that wraps the sb_t_size structure
CSbSizeFlt	Size class that wraps the sb_t_size_flt structure
CSbSolution	Solution class
CSbSolutionInfo	Solution Info Class that wraps the sb_t_solution_info structure
CSbSurfaceRes	Surface res Class that wraps the sb_t_surface_res structure
CSbSvlDlPar	SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_sl_par structure
CSbSvlDlParNetwork	Deep Learning network parameters class that wraps the sb_t_svl_dl_par_network structure
CSbSvlDlParPerturbation	Describes the perturbation of the image / defect, it wraps the sb_t_svl_dl_par_perturbation structure
CSbSvlPar	Svl parameters (not used at the moment) that wraps the sb_t_svl_par structure
CSbSvlSlPar	SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_sl_par structure
CSbTile	Results of OCR analysis. The class wraps the sb_t_ocr_res structure See also sb_t_tile
CSbTilesInfo	Information about the tiles used to process the image See also sb_t_tiles_info
CSbTime	Time class
CSbUtils	Utils Class
CSbVersion	Version class that wraps the sb_t_version structure
►NTutorial11_CheckLicenseConfiguration
CCheckLicense	Tutorial 3 - How to check the compatibility of a project with a license configuration.
►NTutorial12_DeepCortexDetect
CDeepCortexDetect	Tutorial 3 - Deep Cortex - How to elaborate images
►NTutorial14_DeepSurfaceDetect
CDeepSurfaceDetect	Tutorial 3 - Deep Cortex - How to elaborate images
►NTutorial1_InitLibrary
CInitLibrary	Tutorial 1 - How to initialize the library
►NTutorial3_RetinaDetect
CRetinaDetect	Tutorial 3 - Retina - How to elaborate images
►NTutorial7_RetinaMultiProject
CRetinaMultiProject	Tutorial 7 - Retina - How to use more than one project to detect objects.
►NTutorial9_SurfaceDetect
CSurfaceDetect	Tutorial 9 - Surface - How to elaborate images
Cretina_svl_user_data
Csb_svl_user_data
Csb_t_bgra	Defines the color in the format BGRA
Csb_t_blob	Defines a blob
Csb_t_blob_par	Defines the parameters for blob analysis
Csb_t_blobs	Defines a blobs list
Csb_t_blobs_info	Defines the information about the blob analysis
Csb_t_device_info	Information about a computing device
Csb_t_devices_info	List of computing devices available on the machine
Csb_t_devices_par	Property of computational devices
Csb_t_file	Defines the single file
Csb_t_folder	Defines the list of the file in a folder
Csb_t_image	Defines an image
Csb_t_image_info_detail	Image information details structure
Csb_t_image_info_details	Array of the image information details structure
Csb_t_info	General information about sb library and computing devices like CPU and GPUs
Csb_t_license	Defines the license and its properties
Csb_t_license_configuration	Defines the configurations of the license
Csb_t_license_module	Defines all the attributes and properties of a license module
Csb_t_lut_point	Struct that defines the coordinates of a point of a lut
Csb_t_memory_info	Memory information
Csb_t_ocr_res	Results of OCR analysis
Csb_t_par	Project parameters
Csb_t_par_changes_info	Information on what sb_project_set_par and sb_image_info_apply_par_changes do when they apply the new parameters
Csb_t_par_level	Level parameters
Csb_t_par_levels	Levels parameter array
Csb_t_par_model	Parameters of a model
Csb_t_par_model_lut	Information about mapping between old and new models and levels in the sb_t_par structure
Csb_t_par_models	Array of models parameters
Csb_t_par_perturbation	Describes the perturbation of a sample
Csb_t_par_perturbations	List of the perturbations of a sample
Csb_t_par_sl	Shallow Learning modules parameters
Csb_t_point	Represents an ordered pair of integer x and y coordinates that defines a point in a two-dimensional plane
Csb_t_point2d_f	Represents an ordered pair of float x and y coordinates that defines a point in a two-dimensional plane
Csb_t_project_info	Project info structure
Csb_t_projects_info	Array of the projects info
Csb_t_range	Represents an ordered pair of 32 bits signed integer minimum and maximum values that defines a range
Csb_t_range_flt	Represents an ordered pair of float minimum and maximum values that defines a range
Csb_t_rect	Defines the position and size of a rectangle in a two-dimensional plane
Csb_t_res	Results of detection
Csb_t_res_model	Defines the results of a model
Csb_t_res_models	Defines the results of the models
Csb_t_rgba	Defines the color in the format RGBA
Csb_t_rle	Defines a RLE
Csb_t_rle_seg	Define a RLE segment
Csb_t_roi	Defines a roi
Csb_t_sample	Sample of an image
Csb_t_sample_weights_image	Image of weights of the sample
Csb_t_samples	Samples of an image
Csb_t_size	Represents an ordered pair of integer x and y length that defines a rectangle in a two-dimensional plane
Csb_t_size_flt	Represents an ordered pair of float x and y length that defines a rectangle in a two-dimensional plane
Csb_t_solution_info	Solution info structure
Csb_t_stat	Statistics of the elaborations done with the function sb_project_detection
Csb_t_stat_model	Statistics of a model
Csb_t_stat_models	Statistics of a model
Csb_t_surface_res	Defines the result of the Surface analysis
Csb_t_svl_dl_par	SVL parameters to configure the Deep Learning training
Csb_t_svl_dl_par_network	Deep Learning modules parameters
Csb_t_svl_dl_par_perturbation	Describes the perturbation of the image / defect
Csb_t_svl_err	Contains information regarding the error of the SVL
Csb_t_svl_par	SVL parameters
Csb_t_svl_pre_elaboration	Contains the results of the image pre-processing
Csb_t_svl_res	Defines the results of SVL
Csb_t_svl_res_epoch	Results of a training epoch
Csb_t_svl_res_epochs	Results of the training epochs
Csb_t_svl_res_image	Defines the results of the elaboration of the SVL of an image
Csb_t_svl_res_images	Defines the results of the elaboration of the SVL images
Csb_t_svl_res_level	Results of the SVL of a level per model
Csb_t_svl_res_levels	Results of the SVL of a levels processed
Csb_t_svl_res_model	Results of the SVL of a specific model
Csb_t_svl_res_models	Results of the SVL of a models processed
Csb_t_svl_sl_par	SVL parameters that configure the Shallow Learning training
Csb_t_tile	Defines a tile
Csb_t_tiles	Tiles list
Csb_t_tiles_info	Information about the tiles used to process the image
Csb_t_version	Defines the version