Update utils_mask.py

utils_mask.py

@@ -85,13 +85,15 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
 
         parser_mask_changeable += np.logical_and(parse_array, np.logical_not(parser_mask_fixed))
         
-        # Include leg parts for gap filling
-        parse_mask2 = (parse_array == 12).astype(np.float32) + \
-                      (parse_array == 13).astype(np.float32)
+        # Create a separate mask for the gap between legs
+        leg_gap_mask = (parse_array == 12).astype(np.float32) + \
+                    (parse_array == 13).astype(np.float32)
 
         # Fill gaps between legs
-        leg_mask = cv2.dilate(parse_mask2.astype(np.uint8), np.ones((6, 6), np.uint8), iterations=6)
-        parse_mask += leg_mask
+        leg_gap_filled = cv2.dilate(leg_gap_mask.astype(np.uint8), np.ones((6, 6), np.uint8), iterations=6)
+
+        # Add the gap-filled mask to the existing parse_mask
+        parse_mask += leg_gap_filled
 
     elif category == 'upper_body':
         parse_mask = (parse_array == 4).astype(np.float32) + (parse_array == 7).astype(np.float32)