| AUG_TEST: |
| UNDERSAMPLE: |
| ACCELERATIONS: &id001 |
| - 6 |
| AUG_TRAIN: |
| MOTION_P: 0.2 |
| MRI_RECON: |
| AUG_SENSITIVITY_MAPS: true |
| SCHEDULER_P: |
| IGNORE: false |
| TRANSFORMS: [] |
| NOISE_P: 0.2 |
| UNDERSAMPLE: |
| ACCELERATIONS: *id001 |
| CALIBRATION_SIZE: 20 |
| CENTER_FRACTIONS: [] |
| MAX_ATTEMPTS: 30 |
| NAME: PoissonDiskMaskFunc |
| USE_MOTION: false |
| USE_NOISE: false |
| CUDNN_BENCHMARK: false |
| DATALOADER: |
| ALT_SAMPLER: |
| PERIOD_SUPERVISED: 1 |
| PERIOD_UNSUPERVISED: 1 |
| DATA_KEYS: [] |
| DROP_LAST: true |
| FILTER: |
| BY: [] |
| GROUP_SAMPLER: |
| AS_BATCH_SAMPLER: false |
| BATCH_BY: [] |
| NUM_WORKERS: 8 |
| PREFETCH_FACTOR: 2 |
| SAMPLER_TRAIN: '' |
| SUBSAMPLE_TRAIN: |
| NUM_TOTAL: -1 |
| NUM_TOTAL_BY_GROUP: [] |
| NUM_UNDERSAMPLED: 0 |
| NUM_VAL: -1 |
| NUM_VAL_BY_GROUP: [] |
| SEED: 1000 |
| DATASETS: |
| TEST: |
| - mridata_knee_2019_test |
| TRAIN: |
| - mridata_knee_2019_train |
| VAL: |
| - mridata_knee_2019_val |
| DESCRIPTION: |
| BRIEF: '' |
| ENTITY_NAME: ss_recon |
| EXP_NAME: '' |
| PROJECT_NAME: ss_recon |
| TAGS: [] |
| MODEL: |
| A2R: |
| META_ARCHITECTURE: GeneralizedUnrolledCNN |
| USE_SUPERVISED_CONSISTENCY: false |
| CONSISTENCY: |
| AUG: |
| MOTION: |
| RANGE: |
| - 0.2 |
| - 0.5 |
| SCHEDULER: |
| WARMUP_ITERS: 0 |
| WARMUP_METHOD: '' |
| MRI_RECON: |
| AUG_SENSITIVITY_MAPS: true |
| SCHEDULER_P: |
| IGNORE: false |
| TRANSFORMS: [] |
| NOISE: |
| MASK: |
| RHO: 1.0 |
| SCHEDULER: |
| WARMUP_ITERS: 0 |
| WARMUP_METHOD: '' |
| STD_DEV: &id002 |
| - 1 |
| LATENT_LOSS_NAME: mag_l1 |
| LATENT_LOSS_WEIGHT: 0.1 |
| LOSS_NAME: l1 |
| LOSS_WEIGHT: 0.1 |
| NUM_LATENT_LAYERS: 1 |
| USE_CONSISTENCY: true |
| USE_LATENT: false |
| CS: |
| MAX_ITER: 200 |
| REGULARIZATION: 0.005 |
| DENOISING: |
| META_ARCHITECTURE: GeneralizedUnrolledCNN |
| NOISE: |
| STD_DEV: *id002 |
| USE_FULLY_SAMPLED_TARGET: true |
| USE_FULLY_SAMPLED_TARGET_EVAL: null |
| DEVICE: cuda |
| M2R: |
| META_ARCHITECTURE: GeneralizedUnrolledCNN |
| USE_SUPERVISED_CONSISTENCY: false |
| META_ARCHITECTURE: GeneralizedUnrolledCNN |
| N2R: |
| META_ARCHITECTURE: GeneralizedUnrolledCNN |
| USE_SUPERVISED_CONSISTENCY: false |
| NM2R: |
| META_ARCHITECTURE: GeneralizedUnrolledCNN |
| USE_SUPERVISED_CONSISTENCY: false |
| NORMALIZER: |
| KEYWORDS: [] |
| NAME: TopMagnitudeNormalizer |
| RECON_LOSS: |
| NAME: l1 |
| RENORMALIZE_DATA: true |
| SEG: |
| ACTIVATION: sigmoid |
| CLASSES: [] |
| INCLUDE_BACKGROUND: false |
| SSDU: |
| MASKER: |
| PARAMS: {} |
| META_ARCHITECTURE: GeneralizedUnrolledCNN |
| UNET: |
| BLOCK_ORDER: |
| - conv |
| - relu |
| - conv |
| - relu |
| - batchnorm |
| - dropout |
| CHANNELS: 32 |
| DROPOUT: 0.0 |
| IN_CHANNELS: 2 |
| NORMALIZE: false |
| NUM_POOL_LAYERS: 4 |
| OUT_CHANNELS: 2 |
| UNROLLED: |
| BLOCK_ARCHITECTURE: ResNet |
| CONV_BLOCK: |
| ACTIVATION: relu |
| NORM: none |
| NORM_AFFINE: false |
| ORDER: |
| - norm |
| - act |
| - drop |
| - conv |
| DROPOUT: 0.0 |
| FIX_STEP_SIZE: false |
| KERNEL_SIZE: |
| - 3 |
| NUM_EMAPS: 1 |
| NUM_FEATURES: 128 |
| NUM_RESBLOCKS: 2 |
| NUM_UNROLLED_STEPS: 8 |
| PADDING: '' |
| SHARE_WEIGHTS: false |
| WEIGHTS: '' |
| OUTPUT_DIR: "results://meddlr/tests/basic-cpu" |
| SEED: -1 |
| SOLVER: |
| BASE_LR: 0.0001 |
| BIAS_LR_FACTOR: 1.0 |
| CHECKPOINT_PERIOD: 200 |
| GAMMA: 0.1 |
| GRAD_ACCUM_ITERS: 1 |
| LR_SCHEDULER_NAME: WarmupMultiStepLR |
| MAX_ITER: 1600 |
| MOMENTUM: 0.9 |
| OPTIMIZER: Adam |
| STEPS: |
| - 30000 |
| TEST_BATCH_SIZE: 2 |
| TRAIN_BATCH_SIZE: 1 |
| WARMUP_FACTOR: 0.001 |
| WARMUP_ITERS: 1000 |
| WARMUP_METHOD: linear |
| WEIGHT_DECAY: 0.0001 |
| WEIGHT_DECAY_BIAS: 0.0001 |
| WEIGHT_DECAY_NORM: 0.0 |
| TEST: |
| EVAL_PERIOD: 200 |
| EXPECTED_RESULTS: [] |
| FLUSH_PERIOD: 0 |
| VAL_AS_TEST: true |
| VAL_METRICS: |
| RECON: [] |
| TIME_SCALE: iter |
| VERSION: 1 |
| VIS_PERIOD: 20 |
|
|
