Modify scope for multilevel crop and resize function

research/object_detection/utils/spatial_transform_ops.py

@@ -444,6 +444,7 @@ def multilevel_native_crop_and_resize(images, boxes, box_levels,
   """
   if box_levels is None:
     return native_crop_and_resize(images[0], boxes, crop_size, scope)
+  with tf.name_scope('MultiLevelNativeCropAndResize'):
     cropped_feature_list = []
     for level, image in enumerate(images):
       # For each level, crop the feature according to all boxes
@@ -510,7 +511,7 @@ def multilevel_matmul_crop_and_resize(images, boxes, box_levels, crop_size,
   Returns:
     A 5-D tensor of shape `[batch, num_boxes, crop_height, crop_width, depth]`
   """
-  with tf.name_scope(scope, 'MatMulCropAndResize'):
+  with tf.name_scope(scope, 'MultiLevelMatMulCropAndResize'):
     if box_levels is None:
       box_levels = tf.zeros(tf.shape(boxes)[:2], dtype=tf.int32)
     return multilevel_roi_align(images,