Evaluator:
  metrics:
    Output:
      targets_criterions:
        Reference;Mask:
          criterions_loader:
            MAESaveMap:
              reduction: mean
              dataset: ./Evaluations/ImpactSynth/Output:mha
              group: MAE_map
            PSNR:
              dynamic_range: None
            SSIM:
              dynamic_range: None
            SAM_Perceptual:
              train: false
            IMPACTReg:
              name: Reg
              model_name: TS/M291.pt
              shape:
              - 0
              - 0
              - 0
              in_channels: 1
              loss: torch:nn:MSELoss
              weights:
              - 0
              - 1
              size_average: None
              reduce: None
              reduction: mean
    Output_seg:
      targets_criterions:
        Reference_seg;Mask:
          criterions_loader:
            DiceSaveMap:
              labels: None
              dataset: ./Evaluations/ImpactSynth/Output:mha
              group: Seg_MAE_map
  Dataset:
    groups_src:
      Mask_0:
        groups_dest:
          Mask:
            transforms:
              TensorCast:
                dtype: uint8
      Volume_0:
        groups_dest:
          Output:
            transforms:
              Statistics: {}
              TensorCast:
                dtype: float32
          Output_seg:
            transforms:
              konfai_apps.transforms:KonfAIInference:
                repo_id: VBoussot/TotalSegmentator-KonfAI
                model_name: total-3mm
                checkpoints_name:
                - M297.pt
                number_of_tta: 0
                number_of_mc: 0
                per_channel: false
              Save:
                dataset: ./Evaluations/ImpactSynth/Output:mha
                group: None
      Reference_0:
        groups_dest:
          Reference:
            transforms:
              Statistics: {}
              TensorCast:
                dtype: float32
          Reference_seg:
            transforms:
              konfai_apps.transforms:KonfAIInference:
                repo_id: VBoussot/TotalSegmentator-KonfAI
                model_name: total-3mm
                checkpoints_name:
                - M297.pt
                number_of_tta: 0
                number_of_mc: 0
                per_channel: false
              Save:
                dataset: ./Evaluations/ImpactSynth/Output:mha
                group: None
    subset: None
    dataset_filenames:
    - ./Dataset:a:mha
    validation: None
  train_name: ImpactSynth