Update app.py

app.py

@@ -431,29 +431,19 @@ def perform_object_detection(image_pil):
             center_x = (bbox[0] + bbox[2]) / 2
             center_y = (bbox[1] + bbox[3]) / 2
             
-            """
-            if x_center < image.size[0] / 2 and y_center < image.size[1] / 2:
-                position = 'Top-Left'
-            elif x_center >= image.size[0] / 2 and y_center < image.size[1] / 2:
-                position = 'Top-Right'
-            elif x_center < image.size[0] / 2 and y_center >= image.size[1] / 2:
-                position = 'Bottom-Left'
-            else:
-                position = 'Bottom-Right'
-            """
-            if center_x < img_width / 3:
+            if center_x <  2 * img_width * / 5:
                 horiz = 'Left'
-            elif center_x < 2 * img_width / 3:
-                horiz = 'Center'
-            else:
+            elif center_x > 3 * img_width / 5:
                 horiz = 'Right'
+            else:
+                horiz = 'Center'
 
-            if center_y < img_height / 3:
+            if center_y < 2 * img_height / 5:
                 vert = 'Top'
-            elif center_y < 2 * img_height / 3:
-                vert = 'Middle'
-            else:
+            elif center_y > 3 * img_height / 5:
                 vert = 'Bottom'
+            else:
+                vert = 'Middle'
             car_positions.append(f"{vert}-{horiz}")
 
         elif cls_id == 0:
@@ -469,7 +459,6 @@ def perform_object_detection(image_pil):
 
     # Calculate coverage area ratio
     car_coverage_ratio = car_coverage_area / image_area *100 if image_area > 0 else 0
-    car_coverage_ratio =  image_area if image_area > 0 else 0
     car_coverage_ratio = round(car_coverage_ratio, 2)
 
     # Get unique positions