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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
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