code: def get_pretrained_images_mean(self):
      im_mean = np.array([0.485, 0.456, 0.406]).reshape(1, 3)
      return im_mean
  
imports: from __future__ import absolute_import
  from __future__ import division
  import ast
  import argparse
  import os
  import numpy
  from paddle.inference import Config, create_predictor
  from paddlehub.module.module import moduleinfo, runnable, serving
  from .processor import postprocess, base64_to_cv2
  from .data_feed import reader
label_desc: Use image node_id 4 for calling the MobileNetV2Dishes obj's underlying member method code with example usage: obj.get_pretrained_images_mean() and returns: im_mean