Update utils_mask.py

utils_mask.py

@@ -85,21 +85,22 @@ 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 == 'upper_body':
-        parse_mask = (parse_array == 4).astype(np.float32) + (parse_array == 7).astype(np.float32)
-        parser_mask_fixed_lower_cloth = (parse_array == label_map["skirt"]).astype(np.float32) + \
-                                        (parse_array == label_map["pants"]).astype(np.float32)
-        parser_mask_fixed += parser_mask_fixed_lower_cloth
-        parser_mask_changeable += np.logical_and(parse_array, np.logical_not(parser_mask_fixed))
+    
     elif category == 'lower_body' or category == 'full_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)
-        parser_mask_fixed += (parse_array == label_map["upper_clothes"]).astype(np.float32) + \
-                             (parse_array == 14).astype(np.float32) + \
-                             (parse_array == 15).astype(np.float32)
-        parser_mask_changeable += np.logical_and(parse_array, np.logical_not(parser_mask_fixed))
+        if category == 'lower_body':
+        # For lower body category, include only lower body parts of the garment
+            parse_mask = (parse_array == 5).astype(np.float32) + \
+                     (parse_array == 6).astype(np.float32)
+        else:
+        # For full body category, include all garment parts
+            parse_mask = (parse_array == 4).astype(np.float32) + \
+                     (parse_array == 5).astype(np.float32) + \
+                     (parse_array == 6).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)
+            parser_mask_changeable += np.logical_and(parse_array, np.logical_not(parser_mask_fixed))
 
         # Fill gaps in legs
         leg_mask = cv2.dilate(parse_mask.astype(np.uint8), np.ones((5, 5), np.uint8), iterations=5)