code: def main(args):
      transform = Compose([Normalize()])
      input = transform({"img": args.img_path})["img"]
      input = input[np.newaxis, ...]
  
      # 加载ONNX模型
      sess = InferenceSession(args.onnx_file)
  
      # 模型预测
      ort_outs = sess.run(
          output_names=None,
          input_feed={sess.get_inputs()[0].name: input},
      )
  
      _save_imgs(ort_outs, [args.img_path], args.save_dir)
  
file_path: PaddleSeg/deploy/python/infer_onnx.py
imports: import argparse
  import os
  import numpy
  import cv2
  from paddleseg.transforms import Normalize, Compose
  from paddleseg.utils import get_image_list
  from paddleseg.utils.visualize import get_pseudo_color_map
  from onnxruntime import InferenceSession
label_desc: Use image node_id 3 for calling a global function with example usage: main(args) without return types