text: #!/usr/bin/env python
  # -*- cofing:utf-8 -*-
  import os
  import subprocess
  
  
  def yolo_convert_tf_onnx(
      model: str,
      directory: str
  ) -> None:
      path_pb = f'{directory}/{model}.pb'
      path_onnx = f'{directory}/tf_{model}.onnx'
      if not os.path.isfile(path_pb):
          return
      if os.path.isfile(path_onnx):
          return
      options = list()
      options.append(f'--graphdef {path_pb}')
      options.append(f'--output {path_onnx}')
      options.append('--inputs x:0')
      if model in ['yolov3-tiny', 'yolov4-tiny']:
          options.append('--outputs Identity:0,Identity_1:0')
      else:
          options.append('--outputs Identity:0,Identity_1:0,Identity_2:0')
      options.append('--opset 12')
      options.append('--inputs-as-nchw x:0')
      cmd = ' '.join(['python -m tf2onnx.convert'] + options)
      cmd = cmd.split()
      subprocess.run(cmd)
      return
  