code: def model_predict(frame) -> List[Dict]:
      # This function must be overwritten to generate predictions for a frame using
      # a prediction model of your choice. Here we just return an example prediction.
      # See https://docs.lightly.ai/docker/advanced/datasource_predictions.html#prediction-format
      # for possible prediction formats.
      return [
          {"category_id": 0, "bbox": [0, 10, 100, 30], "score": 0.8}
      ]
  
imports: import json
  from pathlib import Path
  from typing import Dict, List
  import av
label_desc: Use image node_id 1 for calling a global function with example usage: model_predict(frame) and returns: list