code: def _get_xywh(bb):
      """
      Given bounding boxes with coordinates (x_min, y_min, x_max, y_max), transform to
      (x_center, y_center, width, height)
      """
      w = bb[:, BB_XMAX_IDX] - bb[:, BB_XMIN_IDX] + FRCN_EPS
      h = bb[:, BB_YMAX_IDX] - bb[:, BB_YMIN_IDX] + FRCN_EPS
      x = bb[:, BB_XMIN_IDX] + 0.5 * w
      y = bb[:, BB_YMIN_IDX] + 0.5 * h
  
      return (x, y, w, h)
  
imports: from __future__ import division
  from __future__ import print_function
  from builtins import zip
  import numpy
  import os
  from neon.util.persist import load_obj
  from neon.data.datasets import Dataset
  from neon.initializers import Constant, Xavier
  from neon.transforms import Rectlin
  from neon.layers import Conv, Pooling
label_desc: Use image node_id 10 for calling a global function with example usage: _get_xywh(bb) and returns: x,  y,  w,  h