# Patch Optimization Tutorial ### Data Preparation: **The Code Path:** LineArtCoherenceTool/StreamlineCorresponding/patchOptimization.py

**Argument Needed:** * Image Segment Input The Input Frame Segment Image. ![Walking\_0000.png](https://2623269614-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MfkqTPfO1tvFPgDTJLX%2F-MhmSG8PsTEizV60h2pR%2F-MhmVMZzTmbCIc4Orcf1%2Fwalking_0000.png?alt=media\&token=e471723c-21c7-4abd-8da2-acdec6319bbf) * PatchInfo.txt The Patch Information of all the (b,g,r) color.

### How To Use: **1.Set-up the input path:**

**2.Run The Code:** ![Output Result of the Program](https://2623269614-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MfkqTPfO1tvFPgDTJLX%2F-MhmSG8PsTEizV60h2pR%2F-MhmWKha1zT2JzhdByU9%2Fimage.png?alt=media\&token=84d222b4-9462-4897-b1cb-7a35e3631786) ### Output Result: **Output Value Explain:** * Patch \[BGR Color] = 'Patch Score Value' * 1st area = pixel count of the patch ; 2nd area = pixel count of the patch /total count of the entire patch * 1st obstacle = obstacle value of the patch ; 2nd obtacle = obstacle ratio over the entire patch. **Next Step (manually):** 1. Decide a threshold value manually based on the observation of Patch Score Value. (ex: 0.01) 2. Only render the threshold value that over the decided threshold.