code: def transform(img):
      # random horizontal flip
      if random.randint(0, 1) == 0:
          img = cv2.flip(img, 1)
      # normalize to mean 0.5, std 0.5
      img = (img - 127.5) * 0.00784313725
      # BGR2RGB
      img = img[:, :, ::-1]
      img = img.transpose((2, 0, 1))
      return img
  
imports: import pickle
  import paddle
  import os
  import cv2
  import six
  import random
  import paddle
  import numpy
  import logging
  from PIL import Image
  from io import BytesIO
  from datasets.kv_helper import read_img_from_bin
label_desc: Use image node_id 1 for calling a global function with example usage: transform(img) and returns: img