code: def inference(self, image_path):
      self.preprocess(image_path)
  
      # self.print_intermediate_result('conv1_7x7_s2_1', True)
  
      self.print_result()
  
      self.test_truth()
  
file_path: MMdnn/mmdnn/conversion/examples/onnx/imagenet_test.py
imports: import argparse
  import numpy
  import sys
  import os
  import tensorflow
  from onnx_tf.backend import prepare
  from mmdnn.conversion.examples.imagenet_test import TestKit
label_desc: Use image node_id 5 for calling the TestONNX obj's underlying member method code with example usage: obj.inference(image_path) without return types