MR/Uncertainty.yml

Evaluator:
  metrics:
    Uncertainty:
      targets_criterions:
        None:
          criterions_loader:
            Mean:
              name: Uncertainty
    Comformity:
      targets_criterions:
        None:
          criterions_loader:
            Mean:
              name: Comformity
  Dataset:
    groups_src:
      Volume_0:
        groups_dest:
          Uncertainty:
            transforms:
              Variance: {}
              Save:
                dataset: ./Uncertainties/ImpactSynth/Output:mha
                group: None
          Comformity:
            transforms:
              KonfAIInference:
                repo_id: VBoussot/MRSegmentator-KonfAI
                model_name: MRSegmentator
                number_of_ensemble: 1
                number_of_tta: 0
                number_of_mc_dropout: 0
                per_channel: true
              Save/1:
                dataset: ./Uncertainties/ImpactSynth/Output:mha
                group: None
              Variance: {}
              Save/2:
                dataset: ./Uncertainties/ImpactSynth/Output:mha
                group: Comformity_var
    subset: None
    dataset_filenames:
    - ./Dataset:mha
    validation: None
  train_name: ImpactSynth