code: def get_pretrained_images_mean(self):
      im_mean = np.array([0.485, 0.456, 0.406]).reshape(1, 3)
      return im_mean
  
imports: import os
  import ast
  import argparse
  import numpy
  import paddle.fluid
  import paddlehub
  from paddlehub.module.module import moduleinfo, runnable
  from paddle.fluid.core import PaddleTensor, AnalysisConfig, create_paddle_predictor
  from paddlehub.common.paddle_helper import add_vars_prefix
  from paddlehub.io.parser import txt_parser
  from darknet53_imagenet.darknet import DarkNet
  from darknet53_imagenet.processor import load_label_info
  from darknet53_imagenet.data_feed import test_reader
label_desc: Use image node_id 4 for calling the DarkNet53 obj's underlying member method code with example usage: obj.get_pretrained_images_mean() and returns: im_mean