class_docstr: Visualize action predictions for videos or folder of images with precomputed
  and ground-truth boxes in AVA format.
class_docstr_tok: ["Visualize","action","predictions","for","videos","or","folder","of","images","with","precomputed","and","ground-truth","boxes","in","AVA","format","."]
code: def __call__(self):
      self.get_predictions()
      self.draw_video()
  
imports: import numpy
  import os
  import cv2
  import torch
  import tqdm
  import slowfast.utils.checkpoint
  import slowfast.utils.logging
  from slowfast.datasets.ava_helper import parse_bboxes_file
  from slowfast.datasets.cv2_transform import scale, scale_boxes
  from slowfast.datasets.utils import get_sequence
  from slowfast.models import build_model
  from slowfast.utils import misc
  from slowfast.utils.env import pathmgr
  from slowfast.visualization.utils import process_cv2_inputs
  from slowfast.visualization.video_visualizer import VideoVisualizer
label_desc: Use image node_id 6 for calling the AVAVisualizerWithPrecomputedBox obj's underlying member method code with example usage: obj.__call__() without return types