Predictor: Model: classpath: UNetpp:UNetpp UNetpp: outputs_criterions: None pretrained: false Dataset: groups_src: CBCT: groups_dest: CBCT: transforms: Clip: min_value: min max_value: percentile:99.5 save_clip_min: false save_clip_max: false mask: MASK Normalize: lazy: false channels: None min_value: -1 max_value: 1 Mask: path: MASK value_outside: -1 patch_transforms: None is_input: true MASK: groups_dest: MASK: transforms: None patch_transforms: None is_input: false augmentations: DataAugmentation_0: data_augmentations: Flip: f_prob: - 0 - 0 - 1 prob: 1 nb: 1 DataAugmentation_1: data_augmentations: Flip: f_prob: - 0 - 1 - 0 prob: 1 nb: 1 Patch: patch_size: - 1 - 512 - 512 overlap: None mask: None pad_value: -1 extend_slice: 2 subset: None filter: None dataset_filenames: - ./Dataset/AB:a:mha - ./Dataset/TH:a:mha use_cache: false batch_size: 32 outputs_dataset: Head:Tanh: OutputDataset: name_class: OutSameAsGroupDataset before_reduction_transforms: None after_reduction_transforms: None final_transforms: UnNormalize:UnNormalize: {} Mask: path: MASK value_outside: -1024 TensorCast: dtype: int16 dataset_filename: Dataset:mha group: sCT same_as_group: CBCT:CBCT patch_combine: None inverse_transform: false reduction: Mean train_name: Out manual_seed: 32 gpu_checkpoints: None images_log: None combine: Mean autocast: false data_log: None