| Predictor: | |
| Model: | |
| classpath: model:Unet_TS_CT | |
| Unet_TS_CT: | |
| outputs_criterions: None | |
| channels: | |
| - 1 | |
| - 32 | |
| - 64 | |
| - 128 | |
| - 256 | |
| - 320 | |
| - 320 | |
| Dataset: | |
| groups_src: | |
| Volume_0: | |
| groups_dest: | |
| Volume: | |
| transforms: | |
| TensorCast: | |
| dtype: float32 | |
| inverse: false | |
| Canonical: | |
| inverse: true | |
| ResampleToResolution: | |
| spacing: | |
| - 1.5 | |
| - 1.5 | |
| - 1.5 | |
| inverse: true | |
| Padding: | |
| padding: | |
| - 32 | |
| - 32 | |
| - 32 | |
| - 32 | |
| - 32 | |
| - 32 | |
| mode: constant | |
| inverse: true | |
| patch_transforms: None | |
| is_input: true | |
| augmentations: None | |
| Patch: | |
| patch_size: | |
| - 96 | |
| - 128 | |
| - 160 | |
| overlap: 32 | |
| mask: None | |
| pad_value: 0 | |
| extend_slice: 0 | |
| subset: None | |
| filter: None | |
| dataset_filenames: | |
| - ./Dataset/:mha | |
| use_cache: false | |
| batch_size: 1 | |
| outputs_dataset: | |
| Head:Softmax: | |
| OutputDataset: | |
| name_class: OutSameAsGroupDataset | |
| before_reduction_transforms: | |
| Softmax: | |
| dim: 0 | |
| Argmax: | |
| dim: 0 | |
| TensorCast: | |
| dtype: uint8 | |
| inverse: true | |
| after_reduction_transforms: | |
| Sum: | |
| dim: 0 | |
| final_transforms: None | |
| dataset_filename: Output:mha | |
| group: Output | |
| same_as_group: Volume_0:Volume | |
| patch_combine: Cosinus | |
| inverse_transform: true | |
| reduction: Concat | |
| train_name: TotalSegmentator | |
| manual_seed: 32 | |
| gpu_checkpoints: None | |
| images_log: None | |
| combine: Concat | |
| autocast: true | |
| data_log: None | |