code: def get_pretrained_images_std(self):
      im_std = np.array([0.229, 0.224, 0.225]).reshape(1, 3)
      return im_std
  
imports: from __future__ import absolute_import
  from __future__ import division
  import argparse
  import ast
  import os
  import numpy
  from paddle.inference import Config
  from paddle.inference import create_predictor
  from .data_feed import reader
  from .processor import base64_to_cv2
  from .processor import postprocess
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 5 for calling the EfficientNetB0SmallImageNet obj's underlying member method code with example usage: obj.get_pretrained_images_std() and returns: im_std