code: def compute_input(image):
      # should be RGB order
      image = image.astype("float32")
      mean = np.array([0.485, 0.456, 0.406])
      variance = np.array([0.229, 0.224, 0.225])
  
      image -= mean * 255
      image /= variance * 255
      return image
  
imports: import typing
  import cv2
  import numpy
  import tensorflow
  import efficientnet.tfkeras
  from tensorflow import keras
  from .None import tools
label_desc: Use image node_id 1 for calling a global function with example usage: compute_input(image) and returns: image