code: def get_object_detection_fridge_model():
      """Loads the fridge object detection model.
  
      :returns: The fridge object detection model.
      :rtype: torchvision.models.detection.faster_rcnn.FasterRCNN
      """
      device = torch.device(
          "cuda" if torch.cuda.is_available() else "cpu"
      )
  
      num_classes = 5
      model = get_instance_segmentation_model(num_classes)
      _ = download_assets("Recycling_finetuned_FastRCNN.pt")
      model.load_state_dict(
          torch.load(
              "Recycling_finetuned_FastRCNN.pt", map_location=device
          )
      )
  
      model.to(device)
      return model
  
imports: import logging
  import os
  import urllib.request
label_desc: Use image node_id 3 for calling a global function with example usage: get_object_detection_fridge_model() and returns: model