message: Update the documentation for sample_distorted_bounding_box
diff: @@ -1513,7 +1513,8 @@ def sample_distorted_bounding_box(image_size, bounding_boxes, seed=None,
  # Generate a single distorted bounding box.
  begin, size, bbox_for_draw = tf.image.sample_distorted_bounding_box(
  tf.shape(image),
  - bounding_boxes=bounding_boxes)
  + bounding_boxes=bounding_boxes,
  + min_object_covered=0.1)
  # Draw the bounding box in an image summary.
  image_with_box = tf.image.draw_bounding_boxes(tf.expand_dims(image, 0),
  @@ -1541,7 +1542,7 @@ def sample_distorted_bounding_box(image_size, bounding_boxes, seed=None,
  seed.
  seed2: An optional `int`. Defaults to `0`.
  A second seed to avoid seed collision.
  - min_object_covered: An optional `float`. Defaults to `0.1`.
  + min_object_covered: A Tensor of type `float32`. Defaults to `0.1`.
  The cropped area of the image must contain at least this
  fraction of any bounding box supplied. The value of this parameter should be
  non-negative. In the case of 0, the cropped area does not need to overlap
  