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SqueezeBrains SDK 1.18
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| ▼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. |
| CSbMetrics | Surface res Class that wraps the sb_t_surface_res 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 |
| CSbSvlDlTilingPar | SVL parameters that configure the Shallow Learning training, it wraps the sb_t_svl_dl_tiling_par 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
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| CSbTilesInfo | Information about the tiles used to process the image
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| 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 |