code: def initialize(self):
      self._queue = Queue(maxsize=self.queue_maxsize)
      self._processes = [
          Process(
              target=prefetch_data,
              name="MultiThreadedAugmenter_{}".format(i),
              args=(
                  self._queue,
                  self.data_loader,
                  self.transform,
                  self.queue_maxsize / 2,
                  i,
                  self.wait_time,
              ),
          )
          for i in range(self.num_processes)
      ]
      for proc in self._processes:
          proc.daemon = True
          proc.start()
  
file_path: PaddleSeg/contrib/MedicalSeg/nnunet/transforms/multi_threaded_augmenter.py
imports: import sys
  import paddle
  import traceback
  from multiprocessing import Event, Queue, Process
  from time import sleep
  from threadpoolctl import threadpool_limits
label_desc: Use image node_id 5 for calling the MultiThreadedAugmenter obj's underlying member method code with example usage: obj.initialize() without return types