{ "dataset_dir": "/workspace/data/medical/spleen", "device": "$torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')", "network_def": { "_target_": "UNet", "spatial_dims": 3, "in_channels": 1, "out_channels": 2, "channels": [ 16, 32, 64, 128, 256 ], "strides": [ 2, 2, 2, 2 ], "num_res_units": 2, "norm": "batch" }, "network": "$@network_def.to(@device)", "preprocessing": { "_target_": "Compose", "transforms": [ { "_target_": "LoadImaged", "keys": "image" }, { "_target_": "EnsureChannelFirstd", "keys": "image" }, { "_target_": "ScaleIntensityRanged", "keys": "image", "a_min": -57, "a_max": 164, "b_min": 0, "b_max": 1, "clip": true }, { "_target_": "EnsureTyped", "keys": "image" } ] }, "datalist": { "_target_": "DatasetFunc", "data": "$@dataset_dir + '/dataset.json'", "func": "$monai.data.load_decathlon_datalist", "is_segmentation": true, "data_list_key": "test", "base_dir": "@dataset_dir" }, "dataset": { "_target_": "Dataset", "data": "@datalist", "transform": "@preprocessing" }, "dataloader": { "_target_": "DataLoader", "dataset": "@dataset", "batch_size": 1, "shuffle": false, "num_workers": 4 }, "inferer": { "_target_": "SlidingWindowInferer", "roi_size": [ 96, 96, 96 ], "sw_batch_size": 4, "overlap": 0.5 }, "postprocessing": { "_target_": "Compose", "transforms": [ { "_target_": "Activationsd", "keys": "pred", "softmax": true }, { "_target_": "AsDiscreted", "keys": "pred", "argmax": true }, { "_target_": "SaveImaged", "keys": "pred", "meta_keys": "image_meta_dict", "output_dir": "eval" } ] }, "evaluator": { "_target_": "SupervisedEvaluator", "device": "@device", "val_data_loader": "@dataloader", "network": "@network", "inferer": "@inferer", "postprocessing": "@postprocessing", "amp": false } }