Update utils_mask.py

utils_mask.py

@@ -93,15 +93,9 @@ 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))
     elif category == 'lower_body':
         parse_mask = (parse_array == 6).astype(np.float32) + \
-                 (parse_array == 12).astype(np.float32) + \
-                 (parse_array == 13).astype(np.float32) + \
-                 (parse_array == 5).astype(np.float32)
-
-    # *** COMBINED LEG PADDING CODE ***
-        leg_mask = (parse_array == 12).astype(np.float32) + (parse_array == 13).astype(np.float32)  # Combined mask
-        leg_mask_dilated = cv2.dilate(leg_mask, np.ones((7, 7), np.uint16), iterations=2)  # Dilate the combined mask
-        parse_mask = np.logical_or(parse_mask, leg_mask_dilated)  # Add the single dilated mask
-    
+                     (parse_array == 12).astype(np.float32) + \
+                     (parse_array == 13).astype(np.float32) + \
+                     (parse_array == 5).astype(np.float32)
         parser_mask_fixed += (parse_array == label_map["upper_clothes"]).astype(np.float32) + \
                              (parse_array == 14).astype(np.float32) + \
                              (parse_array == 15).astype(np.float32)
@@ -170,4 +164,4 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
     mask = Image.fromarray(inpaint_mask.astype(np.uint8) * 255)
     mask_gray = Image.fromarray(inpaint_mask.astype(np.uint8) * 127)
 
-    return mask, mask_gray
+    return mask, mask_gray