Update utils_mask.py

utils_mask.py

@@ -82,17 +82,15 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
                            (parse_array == label_map["dress"]).astype(np.float32)
 
         parse_mask_lower = (parse_array == label_map["skirt"]).astype(np.float32) + \
-                           (parse_array == label_map["pants"]).astype(np.float32) + \
-                           (parse_array == label_map["left_leg"]).astype(np.float32) + \
-                           (parse_array == label_map["right_leg"]).astype(np.float32)
+                           (parse_array == label_map["pants"]).astype(np.float32)
 
-        # Fill gaps between the legs
+        # Dilate the leg parts to fill gaps
         parse_mask_legs = (parse_array == label_map["left_leg"]).astype(np.float32) + \
                           (parse_array == label_map["right_leg"]).astype(np.float32)
         parse_mask_legs_dilated = cv2.dilate(parse_mask_legs.astype(np.uint8), np.ones((5, 5), np.uint8), iterations=6)
-        parse_mask_lower = np.maximum(parse_mask_lower, parse_mask_legs_dilated)
 
-        # Combine upper and filled lower body masks
+        # Combine upper body and dilated lower body masks
+        parse_mask_lower = np.maximum(parse_mask_lower, parse_mask_legs_dilated)
         parse_mask = np.logical_or(parse_mask_upper, parse_mask_lower)
 
     elif category == 'upper_body':