def METHOD_NAME(self, model):
    evaluator = DetEvaluator(
        list(self.cfg.train.classes_id_map.keys()),
        self.cfg.train.work_dir,
        distributed=self.cfg.train.num_gpus > 1)
    test_loader = build_detection_test_loader(
        self.test_dataset,
        mapper=VideoDetMapper(
            self.cfg.train.classes_id_map, is_train=False),
        num_workers=self.cfg.evaluation.dataloader.workers_per_gpu)
    result = inference_on_dataset(model, test_loader, evaluator)
    print_csv_format(result)
    return result