class_docstr: Asynchronous Action Prediction and Visualization pipeline with AsyncVis.
class_docstr_tok: ["Asynchronous","Action","Prediction","and","Visualization","pipeline","with","AsyncVis","."]
docstr: Get the visualized clips if any.
docstr_tok: ["Get","the","visualized","clips","if","any","."]
code: def get(self):
      """
      Get the visualized clips if any.
      """
      try:
          task = self.async_vis.get()
      except (queue.Empty, IndexError):
          raise IndexError("Results are not available yet.")
  
      return task
  
imports: import atexit
  import numpy
  import queue
  import torch
  import torch.multiprocessing
  import slowfast.utils.logging
  from slowfast.datasets import cv2_transform
  from slowfast.visualization.predictor import Predictor
label_desc: Use image node_id 3 for calling the AsyncDemo obj's underlying member method code with example usage: obj.get() and returns: task