Tutorial14_DeepSurfaceDetect.DeepSurfaceDetect Class Reference

Tutorial 3 - Deep Cortex - How to elaborate images More...

Detailed Description

Tutorial 3 - Deep Cortex - How to elaborate images

Attention

To execute this tutorial you need:

• to have installed the SB Deep Learning Framework
• to ensure that path to SB Deep Learning Framework is included in the PATH enviroment variable or in any case to be visible by the program. It is possible to specify additional paths as argument to the sb_cs::Sb::InitDl function.

In this tutorial you can find what do you need to elaborate images in your system with a minimal integration of SB library. To elaborate an image you have to call the function sb_cs.SbProject.Detection and get the results with the function sb_cs.SbProject.GetRes .
The function sb_cs.SbProject.Detection needs 2 things:

1. a sb_cs.SbImage, the image to be processed.
   To create the image you can choose between two different procedures depending if you already have the raw image in the memory or not:
   • load the image from the disk using the function sb_cs::SbImage::Load ;
   • create only the header for the raw data using the function sb_cs::SbImage::CreateHeader and then connect the pointer to your raw data with the sb_cs.SbImage using the function sb_cs::SbImage::SetData.
2. a sb_cs.SbRoi, the ROI (Region Of Interest) that specifies the region of the image to be processed.
   To create a ROI you have to call the function sb_cs.SbRoi.Create and then to draw the region using the functions sb_cs.SbRoi.SetRect , sb_cs.SbRoi.SetCircle , sb_cs.SbRoi.SetEllipse , sb_cs.SbRoi.SetCircularCrown , or draw the ROI manually setting pixel by pixel.
   For more details see ROI management

See also

sb_cs.Sb.Init, sb_cs.Sb.Release, sb_cs.Sb.InitDl, sb_cs.SbLicense.GetInfo, sb_cs.SbSolution.GetInfo, sb_cs.SbProject.Load, sb_cs.SbProject.Detection, sb_cs.SbProject.GetPar, sb_cs.SbProject.SetPar, sb_cs.SbProject.GetRes, sb_cs.SbImage.Load, sb_cs.SbFolder.Load, sb_cs.SbRoi.Create, sb_cs.SbRoi.SetRect

Definition at line 42 of file DeepSurfaceDetect.cs.

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The documentation for this class was generated from the following file:

• DeepSurfaceDetect.cs