Update utils_mask.py

utils_mask.py

@@ -88,7 +88,7 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
                           (parse_array == 12).astype(np.float32) + \
                           (parse_array == 13).astype(np.float32) + \
                           (parse_array == 5).astype(np.float32)
-        parse_mask_legs = cv2.dilate(parse_mask_legs.astype(np.uint8), np.ones((6, 6), np.uint8), iterations=6) # Dilate legs
+        parse_mask_legs_dilated = cv2.dilate(parse_mask_legs.astype(np.uint8), np.ones((6, 6), np.uint8), iterations=6) # Dilate legs
     
         # Fixed and changeable masks
         parser_mask_fixed = (parse_array == label_map["upper_clothes"]).astype(np.float32) + \
@@ -97,8 +97,9 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
                             parse_mask_fixed_lower_cloth  # Add lower cloth to fixed mask
         parser_mask_changeable = np.logical_and(parse_array, np.logical_not(parser_mask_fixed))
     
-        # Combine masks (upper body + legs)
-        parse_mask = np.maximum(parse_mask_upper, parse_mask_legs)
+        # Combine masks (upper body + dilated legs + changeable areas)
+        parse_mask = np.maximum.reduce([parse_mask_upper, parse_mask_legs_dilated, parser_mask_changeable.astype(np.float32)])  
+
 
     elif category == 'upper_body':
         parse_mask = (parse_array == 4).astype(np.float32) + (parse_array == 7).astype(np.float32)