{
    "test_datalist": "$monai.data.load_decathlon_datalist(@data_list_file_path, is_segmentation=True, data_list_key='validation', base_dir=@dataset_dir)",
    "validate#dataset": {
        "_target_": "Dataset",
        "data": "$@test_datalist",
        "transform": "@validate#preprocessing"
    },
    "validate#key_metric": {
        "val_coco": {
            "_target_": "scripts.cocometric_ignite.IgniteCocoMetric",
            "coco_metric_monai": "$monai.apps.detection.metrics.coco.COCOMetric(classes=['nodule'], iou_list=[0.1], max_detection=[100])",
            "output_transform": "$monai.handlers.from_engine(['pred', 'label'])",
            "box_key": "box",
            "label_key": "label",
            "pred_score_key": "label_scores",
            "reduce_scalar": false
        }
    },
    "validate#handlers": [
        {
            "_target_": "CheckpointLoader",
            "load_path": "$@ckpt_dir + '/model.pt'",
            "load_dict": {
                "model": "@network"
            }
        },
        {
            "_target_": "StatsHandler",
            "iteration_log": false
        },
        {
            "_target_": "MetricsSaver",
            "save_dir": "@output_dir",
            "metrics": [
                "val_coco"
            ],
            "metric_details": [
                "val_coco"
            ],
            "batch_transform": "$monai.handlers.from_engine(['image_meta_dict'])",
            "summary_ops": "*"
        }
    ],
    "initialize": [
        "$setattr(torch.backends.cudnn, 'benchmark', True)"
    ],
    "run": [
        "$@validate#evaluator.run()"
    ]
}