class_docstr: A predictor that runs the model asynchronously, possibly on >1 GPUs.
  Because rendering the visualization takes considerably amount of time,
  this helps improve throughput a little bit when rendering videos.
code: def default_buffer_size(self):
      return len(self.procs) * 5
  
imports: import atexit
  import bisect
  import multiprocessing
  from collections import deque
  import cv2
  import torch
  from detectron2.data import MetadataCatalog
  from detectron2.engine.defaults import DefaultPredictor
  from detectron2.utils.video_visualizer import VideoVisualizer
  from detectron2.utils.visualizer import ColorMode, Visualizer
label_desc: Use image node_id 7 for calling the AsyncPredictor obj's underlying member method code with example usage: obj.default_buffer_size() and returns: unknown