|
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 |
|
|
