Update utils_mask.py

utils_mask.py

@@ -90,7 +90,7 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
                     (parse_array == 13).astype(np.float32)
 
         # Fill gaps between legs
-        leg_gap_filled = cv2.dilate(leg_gap_mask.astype(np.uint8), np.ones((8, 8), np.uint8), iterations=8)
+        leg_gap_filled = cv2.dilate(leg_gap_mask.astype(np.uint8), np.ones((10, 10), np.uint8), iterations=10)
 
         # Add the gap-filled mask to the existing parse_mask
         parse_mask += leg_gap_filled