class_docstr: WrongPredictionVis class for visualizing video inputs to Tensorboard
  for instances that the model makes wrong predictions.
class_docstr_tok: ["WrongPredictionVis","class","for","visualizing","video","inputs","to","Tensorboard","for","instances","that","the","model","makes","wrong","predictions","."]
docstr: Return class ids that the model predicted incorrectly.
docstr_tok: ["Return","class","ids","that","the","model","predicted","incorrectly","."]
code: def wrong_class_prediction(self):
      """
      Return class ids that the model predicted incorrectly.
      """
      incorrect_class_names = [
          self.class_names[i] for i in self.model_incorrect_classes
      ]
      return list(set(incorrect_class_names))
  
file_path: SlowFast/slowfast/visualization/prediction_vis.py
imports: import numpy
  import torch
  import slowfast.datasets.utils
  import slowfast.utils.logging
  import slowfast.visualization.tensorboard_vis
  from slowfast.utils.misc import get_class_names
  from slowfast.visualization.video_visualizer import VideoVisualizer
label_desc: Use image node_id 4 for calling the WrongPredictionVis obj's underlying member method code with example usage: obj.wrong_class_prediction() and returns: list