code: def load_image(in_image):
      """Load an image, returns PIL.Image."""
      # if the path appears to be an URL
      if urlparse(in_image).scheme in (
          "http",
          "https",
      ):
          # set up the byte stream
          img_stream = BytesIO(request.urlopen(in_image).read())
          # and read in as PIL image
          img = Image.open(img_stream)
      else:
          # else use it as local file path
          img = Image.open(in_image)
      return img
  
imports: from __future__ import division, print_function, absolute_import
  import os
  import random
  import numpy
  from PIL import Image
  import pickle
  import csv
  import warnings
  import tensorflow.compat.v1
  from io import BytesIO
label_desc: Use image node_id 11 for calling a global function with example usage: load_image(in_image) and returns: img