code: def bbreg(boundingbox, reg):
      # calibrate bounding boxes
      if reg.shape[1] == 1:
          reg = np.reshape(reg, (reg.shape[2], reg.shape[3]))
  
      w = boundingbox[:, 2] - boundingbox[:, 0] + 1
      h = boundingbox[:, 3] - boundingbox[:, 1] + 1
      b1 = boundingbox[:, 0] + reg[:, 0] * w
      b2 = boundingbox[:, 1] + reg[:, 1] * h
      b3 = boundingbox[:, 2] + reg[:, 2] * w
      b4 = boundingbox[:, 3] + reg[:, 3] * h
      boundingbox[:, 0:4] = np.transpose(np.vstack([b1, b2, b3, b4]))
      return boundingbox
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  import cv2
  import os
  import inspect
label_desc: Use image node_id 5 for calling a global function with example usage: bbreg(boundingbox, reg) and returns: boundingbox