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meddlr-data

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TEST: ("mridata_knee_2019_test",)
DATALOADER:
NUM_WORKERS: 0 # for debugging purposes
SOLVER:
TRAIN_BATCH_SIZE: 1
TEST_BATCH_SIZE: 2
CHECKPOINT_PERIOD: 20
MAX_ITER: 80
TEST:
EVAL_PERIOD: 40
VIS_PERIOD: 20
TIME_SCALE: "iter"
OUTPUT_DIR: "results://tests/basic"
VERSION: 1
[01/08 07:37:54] meddlr INFO: Running with full config:
AUG_TEST:
UNDERSAMPLE:
ACCELERATIONS: (6,)
AUG_TRAIN:
MOTION_P: 0.2
MRI_RECON:
AUG_SENSITIVITY_MAPS: True
SCHEDULER_P:
IGNORE: False
TRANSFORMS: ()
NOISE_P: 0.2
UNDERSAMPLE:
ACCELERATIONS: (6,)
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: (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: