Predictor:
  Model:
    classpath: Model:ResEnc
    ResEnc:
      outputs_criterions: None
  Dataset:
    groups_src:
      Volume_0:
        groups_dest:
          Volume:
            transforms:
              TensorCast:
                dtype: float32
                inverse: false
              ResampleToResolution:
                spacing:
                - 3
                - 3
                - 3
                inverse: true
              Standardize:
                lazy: false
                mean: None
                std: None
                mask: None
                inverse: false
            patch_transforms: None
            is_input: true
    augmentations: None
    Patch:
      patch_size:
      - 1
      - 192
      - 192
      overlap: None
      mask: None
      pad_value: -2
      extend_slice: 4
    subset: None
    filter: None
    dataset_filenames:
    - ./Dataset/:mha
    use_cache: false
    batch_size: 32
    num_workers: None
    pin_memory: false
    prefetch_factor: None
    persistent_workers: None
  outputs_dataset:
    DecoderOutputs:
      OutputDataset:
        name_class: OutSameAsGroupDataset
        before_reduction_transforms: None
        after_reduction_transforms: None
        final_transforms:
          Softmax:
            dim: 0
          Argmax:
            dim: 0
          TensorCast:
            dtype: uint8
            inverse: true
        dataset_filename: Output:mha
        group: Output
        same_as_group: Volume_0:Volume
        patch_combine: None
        inverse_transform: true
        reduction: Mean
        Mean: {}
  train_name: ImpactSeg-Body
  manual_seed: 42
  gpu_checkpoints: None
  images_log: None
  combine: Mean
  autocast: false
  data_log: None