code: def main(args):
      queue = multiprocessing.Queue(10240)
      read_process = multiprocessing.Process(
          target=read_worker, args=(args, queue)
      )
      read_process.daemon = True
      read_process.start()
      write_process = multiprocessing.Process(
          target=write_worker, args=(args, queue)
      )
      write_process.start()
      write_process.join()
  
file_path: insightface/recognition/arcface_torch/scripts/shuffle_rec.py
imports: import argparse
  import multiprocessing
  import os
  import time
  import mxnet
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: main(args) without return types