code: def upscale_bbox_fn(bbox, img, scale=1.25):
      new_bbox = []
      x0 = bbox[0]
      y0 = bbox[1]
      x1 = bbox[2]
      y1 = bbox[3]
      w = (x1 - x0) / 2
      h = (y1 - y0) / 2
      center = [x0 + w, y0 + h]
      new_x0 = max(center[0] - w * scale, 0)
      new_y0 = max(center[1] - h * scale, 0)
      new_x1 = min(center[0] + w * scale, img.shape[1])
      new_y1 = min(center[1] + h * scale, img.shape[0])
      new_bbox = [new_x0, new_y0, new_x1, new_y1]
      return new_bbox
  
imports: from __future__ import absolute_import
  from __future__ import division
  import math
  import random
  import numpy
  import mxnet
  from mxnet import nd, image
  from mxnet.gluon.data.vision import transforms
  from ...utils.filesystem import try_import_cv2
label_desc: Use image node_id 12 for calling a global function with example usage: upscale_bbox_fn(bbox, img, scale) and returns: new_bbox