class_docstr: set config of preprocess, postprocess and visualize
  Args:
      infer_config (str): path of infer_cfg.yml
class_docstr_tok: ["set","config","of","preprocess",",","postprocess","and","visualize","Args",":","infer_config","(","str",")",":","path","of","infer_cfg.yml"]
code: def print_config(self):
      print("-----------  Model Configuration -----------")
      print("%s: %s" % ("Model Arch", self.arch))
      print("%s: " % ("Transform Order"))
      for op_info in self.preprocess_infos:
          print("--%s: %s" % ("transform op", op_info["type"]))
      print("--------------------------------------------")
  
file_path: PaddleDetection/deploy/third_engine/onnx/infer.py
imports: import os
  import yaml
  import argparse
  import numpy
  import glob
  from onnxruntime import InferenceSession
  from preprocess import Compose
label_desc: Use image node_id 3 for calling the PredictConfig obj's underlying member method code with example usage: obj.print_config() without return types