Update utils_mask.py

utils_mask.py

@@ -94,8 +94,13 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
                                                 parse_array == label_map["right_leg"],
                                                 parse_array == label_map["skirt"],
                                                 parse_array == label_map["pants"])).astype(np.float32)
-        parse_mask_legs_dilated = cv2.dilate(parse_mask_legs.astype(np.uint8), np.ones((6, 6), np.uint8), iterations=6)
-        parse_mask = np.maximum(parse_mask, parse_mask_legs_dilated)
+        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)
+
+        # Only fill the gaps between the legs
+        fill_gap_between_legs = cv2.morphologyEx(parse_mask_lower.astype(np.uint8), cv2.MORPH_CLOSE, np.ones((15, 15), np.uint8))
+
+        parse_mask = np.logical_or(parse_mask_upper, fill_gap_between_legs)
 
     elif category == 'upper_body':
         parse_mask = (parse_array == 4).astype(np.float32) + (parse_array == 7).astype(np.float32)