Update app.py

app.py

@@ -119,16 +119,16 @@ def homography_all_detectors(flat_file, persp_file, json_file, xml_file):
         # 2. Perspective with Homography ROI
         roi_corners_persp = cv2.perspectiveTransform(roi_corners_flat.reshape(-1,1,2),H).reshape(-1,2)
         persp_roi = persp_img.copy()
-        cv2.polylines(persp_roi,[roi_corners_persp.astype(int)],True,(0,0,255),5) #--------------------thicknes------------------------------------
+        cv2.polylines(persp_roi,[roi_corners_persp.astype(int)],True,(0,255,0),5) #--------------------thicknes------------------------------------
         for px,py in roi_corners_persp:
-            cv2.circle(persp_roi,(int(px),int(py)),5,(0,255,0),5)
+            cv2.circle(persp_roi,(int(px),int(py)),5,(255,0,0),5)
 
         # 3. Perspective with GT ROI (from XML)
         xml_gt_img = persp_img.copy()
         ordered_pts = ['TopLeft', 'TopRight', 'BottomRight', 'BottomLeft']
         xml_polygon = [xml_points[pt] for pt in ordered_pts]
         pts = np.array(xml_polygon, np.int32).reshape((-1,1,2))
-        cv2.polylines(xml_gt_img,[pts],isClosed=True,color=(255,0,0),thickness=3)
+        cv2.polylines(xml_gt_img,[pts],isClosed=True,color=(0,255,0),thickness=5)
 
         # Convert to RGB + resize + add headings
         flat_rgb = add_heading(fit_to_box(cv2.cvtColor(flat_with_roi,cv2.COLOR_BGR2RGB),600,600), "Flat Image with ROI")