fix code style

research/object_detection/meta_architectures/faster_rcnn_meta_arch.py

@@ -1956,7 +1956,8 @@ class FasterRCNNMetaArch(model.DetectionModel):
     box_levels = None
     if num_levels != 1:
       # If there are mutiple levels to select, get the box levels
-      box_levels = ops.fpn_feature_levels(num_levels, num_levels - 2,
+      box_levels = ops.fpn_feature_levels(
+          num_levels, num_levels - 2,
           tf.sqrt(self._resize_shape[1] * self._resize_shape[2] * 1.0) / 224.0,
           proposal_boxes_normalized)
 
@@ -2528,7 +2529,6 @@ class FasterRCNNMetaArch(model.DetectionModel):
             box_list.BoxList(tf.reshape(proposal_boxes, [-1, 4])),
             image_shape[1], image_shape[2], check_range=False).get()
 
-        # TODO(syiming): check this!
         flat_cropped_gt_mask = self._crop_and_resize_fn(
             [tf.expand_dims(flat_gt_masks, -1)],
             tf.expand_dims(flat_normalized_proposals, axis=1), None,