text: checkpoint_config = dict(interval=1)
  log_config = dict(
      interval=20,
      hooks=[
          dict(type='TextLoggerHook'),
          # dict(type='TensorboardLoggerHook'),
      ])
  # runtime settings
  dist_params = dict(backend='nccl')
  log_level = 'INFO'
  load_from = None
  resume_from = None
  workflow = [('train', 1)]
  
  # disable opencv multithreading to avoid system being overloaded
  opencv_num_threads = 0
  # set multi-process start method as `fork` to speed up the training
  mp_start_method = 'fork'
  