| Predictor: | |
| Model: | |
| classpath: Model:UNetpp | |
| UNetpp: | |
| outputs_criterions: None | |
| pretrained: false | |
| Dataset: | |
| groups_src: | |
| Volume_0: | |
| groups_dest: | |
| Volume: | |
| transforms: | |
| TensorCast: | |
| dtype: int16 | |
| inverse: false | |
| ResampleToResolution: | |
| spacing: | |
| - 1 | |
| - 1 | |
| - 3 | |
| inverse: true | |
| Clip: | |
| 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: 2 | |
| 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 | |
| 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: {} | |