/**:
  ros__parameters:
    model_params: # These are parameters that are dependent on the onnx file.
      class_names: ["CAR", "TRUCK", "BUS", "BICYCLE", "PEDESTRIAN"]
      detection_range: [-61.2, -61.2, -10.0, 61.2, 61.2, 10.0]  # [-x,-y,-z,x,y,z] from base_link. The model is not trained to predict objects outside this range.
                                                                # So, anything outside this range is wrong, and this parameter is used to filter out objects that are outside this range
      input_image_height: 480
      input_image_width: 640
      num_proposals: 5400
      rois_number: 5 # ["CAM_FRONT", "CAM_FRONT_LEFT", "CAM_BACK_LEFT", "CAM_FRONT_RIGHT", "CAM_BACK_RIGHT"]
      pre_memory_length: 1024 # Input memory length for the temporal model
      post_memory_length: 1280 # Output memory length for the temporal model