message: added missing argument docstrings for genbbox.
diff: @@ -5536,6 +5536,20 @@ def generate_bounding_box_proposals(scores,
  name=None):
  """Generate bounding box proposals from encoded bounding boxes.
  + Args:
  + scores: A 4-D float tensor of shape `[num_images, height, width, num_achors]`
  + containing scores of the boxes for given anchors, can be unsorted.
  + bbox_deltas: A 4-D float tensor of shape `[num_images, height, width, 4 x num_anchors]`.
  + encoding boxes with respec to each anchor. Coordinates are given in the form [dy, dx, dh, dw].
  + image_info: A 2-D float tensor of shape `[num_images, 5]` containing image information Height, Width, Scale.
  + anchors: A 2-D float tensor of shape `[num_anchors, 4]` describing the anchor boxes.
  + Boxes are formatted in the form [y1, x1, y2, x2].
  + nms_threshold: A scalar float tensor for non-maximal-suppression threshold. Defaults to 0.7.
  + pre_nms_topn: A scalar int tensor for the number of top scoring boxes to be used as input. Defaults to 6000.
  + min_size: A scalar float tensor. Any box that has a smaller size than min_size will be discarded. Defaults to 16.
  + post_nms_topn: An integer. Maximum number of rois in the output.
  + name: A name for this operation (optional).
  +
  Returns:
  rois: Region of interest boxes sorted by their scores.
  roi_probabilities: scores of the ROI boxes in the ROIs' tensor.
  