code: def read_image(image_path):
      image_BGR = cv2.imread(image_path)
      image_RGB = np.zeros_like(image_BGR)
      cv2.cvtColor(image_BGR, cv2.COLOR_BGR2RGB, image_RGB)
      # Expand dimensions since the model expects images to have shape: [1, None, None, 3]
      image_np_expanded = np.expand_dims(image_RGB, axis=0)
      return image_BGR, image_np_expanded
  
file_path: deep-learning-for-image-processing/others_project/readPbFile/using_function.py
imports: import collections
  import six
  import PIL.Image
  import PIL.ImageDraw
  import PIL.ImageFont
  import numpy
  import tensorflow
  import cv2
label_desc: Use image node_id 7 for calling a global function with example usage: read_image(image_path) and returns: image_BGR,  image_np_expanded