code: def parse_args():
      parser = argparse.ArgumentParser(description="Model training")
      parser.add_argument(
          "--config",
          dest="cfg",
          help="The config file.",
          default=None,
          type=str,
      )
  
      parser.add_argument(
          "--model_path",
          dest="model_path",
          help="The path of model for prediction",
          type=str,
          default=None,
      )
      parser.add_argument(
          "--video_path",
          dest="video_path",
          help="The path of video",
          default=None,
      )
      parser.add_argument(
          "--background",
          dest="background",
          help="Background for replacing. It is a string which specifies the background color (r,g,b,w) or a path to background image or video."
          "If not specified, a green background is used.",
          type=str,
          default="g",
      )
      parser.add_argument(
          "--save_dir",
          dest="save_dir",
          help="The directory for saving the model snapshot",
          type=str,
          default="./output/results",
      )
      parser.add_argument(
          "--fg_estimate",
          default=True,
          type=eval,
          choices=[True, False],
          help="Whether to estimate foreground when predicting.",
      )
      parser.add_argument(
          "--device",
          dest="device",
          help="Set the device type, which may be GPU, CPU or XPU.",
          default="gpu",
          type=str,
      )
  
      return parser.parse_args()
  
file_path: PaddleSeg/Matting/tools/bg_replace_video.py
imports: import argparse
  import os
  import sys
  import paddle
  import paddleseg
  from paddleseg.cvlibs import manager
  from paddleseg.utils import get_sys_env, logger
  import ppmatting
  from ppmatting.core import bg_replace_video
  from ppmatting.utils import Config, MatBuilder
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser