| Trainer: | |
| Model: | |
| classpath: Model:UNetpp | |
| UNetpp: | |
| outputs_criterions: | |
| Head:Tanh: | |
| targets_criterions: | |
| CT: | |
| criterions_loader: | |
| MAE: | |
| schedulers: | |
| Constant: | |
| nb_step: 0 | |
| value: 1 | |
| is_loss: true | |
| group: 0 | |
| start: 0 | |
| stop: None | |
| accumulation: false | |
| reduction: mean | |
| SAM_Perceptual: | |
| train: true | |
| weights: [0, 1, 1, 0] | |
| schedulers: | |
| Constant: | |
| nb_step: 0 | |
| value: 0.5 | |
| is_loss: true | |
| group: 0 | |
| start: 0 | |
| stop: None | |
| accumulation: false | |
| CT;MASK: | |
| criterions_loader: | |
| MAE: | |
| schedulers: | |
| Constant: | |
| nb_step: 0 | |
| value: 1 | |
| is_loss: false | |
| group: 0 | |
| start: 0 | |
| stop: None | |
| accumulation: false | |
| reduction: mean | |
| schedulers: | |
| PolyLRScheduler: | |
| initial_lr: 0.01 | |
| max_steps: 500 | |
| exponent: 0.9 | |
| current_step: 0 | |
| nb_step: 0 | |
| Patch: None | |
| optimizer: | |
| name: SGD | |
| lr: 0.01 | |
| momentum: 0.99 | |
| dampening: 0 | |
| weight_decay: 3e-05 | |
| nesterov: true | |
| maximize: false | |
| foreach: None | |
| differentiable: false | |
| fused: None | |
| nb_channel: 5 | |
| Dataset: | |
| groups_src: | |
| MASK: | |
| groups_dest: | |
| MASK: | |
| transforms: None | |
| patch_transforms: None | |
| is_input: false | |
| CT: | |
| groups_dest: | |
| CT: | |
| transforms: | |
| Clip: | |
| min_value: -1024 | |
| max_value: 3071 | |
| save_clip_min: true | |
| save_clip_max: true | |
| mask: None | |
| Statistics: {} | |
| Normalize: | |
| lazy: true | |
| channels: None | |
| min_value: -1 | |
| max_value: 1 | |
| inverse: false | |
| patch_transforms: | |
| Normalize: | |
| lazy: false | |
| channels: None | |
| min_value: -1 | |
| max_value: 1 | |
| inverse: false | |
| is_input: false | |
| MR_IMPACT: | |
| groups_dest: | |
| MR: | |
| transforms: | |
| Clip: | |
| min_value: min | |
| max_value: percentile:99.5 | |
| save_clip_min: false | |
| save_clip_max: false | |
| mask: None | |
| Statistics: {} | |
| Normalize: | |
| lazy: true | |
| channels: None | |
| min_value: -1 | |
| max_value: 1 | |
| inverse: false | |
| patch_transforms: | |
| Normalize: | |
| lazy: false | |
| channels: None | |
| min_value: -1 | |
| max_value: 1 | |
| inverse: false | |
| is_input: true | |
| augmentations: | |
| DataAugmentation_0: | |
| data_augmentations: | |
| Flip: | |
| f_prob: | |
| - 0 | |
| - 0.5 | |
| - 0.5 | |
| prob: 1 | |
| nb: 1 | |
| Patch: | |
| patch_size: | |
| - 1 | |
| - 320 | |
| - 320 | |
| overlap: None | |
| mask: None | |
| pad_value: -1 | |
| extend_slice: 4 | |
| subset: None | |
| shuffle: true | |
| filter: None | |
| dataset_filenames: | |
| - ./Dataset/:a:mha | |
| inline_augmentations: true | |
| use_cache: true | |
| batch_size: 32 | |
| validation: None | |
| train_name: FT_0 | |
| manual_seed: 32 | |
| epochs: 100 | |
| it_validation: 2500 | |
| autocast: false | |
| gradient_checkpoints: None | |
| gpu_checkpoints: None | |
| ema_decay: 0 | |
| data_log: | |
| - CT/IMAGES/5 | |
| - MR/IMAGES/5 | |
| - Head:Tanh/IMAGES/5 | |
| save_checkpoint_mode: ALL | |
| EarlyStopping: | |
| monitor: [] | |
| patience: 30 | |
| min_delta: 0.0 | |
| mode: min | |