Predictor:
  Model:
    classpath: Model:UNetpp
    UNetpp:
      outputs_criterions: None
  Dataset:
    groups_src:
      Volume_0:
        groups_dest:
          MASK:
            transforms:
              KonfAIInference:
                repo_id: VBoussot/ImpactSeg
                model_name: body
                checkpoints_name:
                - Body.pt
                number_of_tta: 0
                number_of_mc_dropout: 0
                per_channel: false
              ResampleToResolution:
                spacing:
                - 1
                - 1
                - 3
                inverse: false
              Dilate:
                dilate: 5
              Save:
                dataset: ./Dataset:mha
            patch_transforms: None
            is_input: false
          Volume:
            transforms:
              TensorCast/0:
                dtype: float16
                inverse: false
              Clip/0:
                min_value: -1024
                max_value: 5000
                save_clip_min: false
                save_clip_max: false
                mask: None
              TensorCast/1:
                dtype: int16
                inverse: false
              ResampleToResolution:
                spacing:
                - 1
                - 1
                - 3
                inverse: true
              Clip/1:
                min_value: min
                max_value: percentile:99.5
                save_clip_min: false
                save_clip_max: false
                mask: None
              Normalize:
                lazy: false
                channels: None
                min_value: -1
                max_value: 1
                inverse: false
            patch_transforms: None
            is_input: true
    augmentations:
      DataAugmentation_0:
        data_augmentations:
          Flip:
            f_prob:
            - 0
            - 0.5
            - 0.5
            prob: 1
        nb: 2
    Patch:
      patch_size:
      - 1
      - 512
      - 512
      overlap: None
      mask: None
      pad_value: -1
      extend_slice: 4
    subset: None
    filter: None
    dataset_filenames:
    - ./Dataset:mha
    use_cache: false
    batch_size: 8
  outputs_dataset:
    Head:Tanh:
      OutputDataset:
        name_class: OutSameAsGroupDataset
        before_reduction_transforms:
          UnNormalize:
            min_value: -1024
            max_value: 3071
          TensorCast:
            dtype: int16
            inverse: false
          Mask:
            path: MASK
            value_outside: -1024
        after_reduction_transforms:
          InferenceStack:
            dataset: Predictions/ImpactSynth/Output:mha
            name: InferenceStack
            mode: mean
        final_transforms: None
        dataset_filename: Output:mha
        inverse_transform: true
        group: sCT
        same_as_group: Volume_0:Volume
        patch_combine: None
        reduction: Concat
        Concat: {}
  train_name: ImpactSynth
  manual_seed: 32
  gpu_checkpoints: None
  images_log: None
  combine: Concat
  autocast: false
  data_log: None
  Concat: {}