| AUG_TEST: | |
| UNDERSAMPLE: | |
| ACCELERATIONS: | |
| - 6 | |
| AUG_TRAIN: | |
| NOISE_P: 0.2 | |
| UNDERSAMPLE: | |
| ACCELERATIONS: | |
| - 6 | |
| CALIBRATION_SIZE: 24 | |
| CENTER_FRACTIONS: [] | |
| NAME: PoissonDiskMaskFunc | |
| PRECOMPUTE: | |
| NUM: -1 | |
| SEED: -1 | |
| 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: true | |
| BATCH_BY: | |
| - inplane_shape | |
| 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: | |
| QDESS: | |
| DATASET_TYPE: qDESSImageDataset | |
| ECHO_KIND: echo1-echo2-mc | |
| KWARGS: | |
| - orientation | |
| - sagittal | |
| TEST: | |
| - stanford_qdess_v0.1.0_test | |
| TRAIN: | |
| - stanford_qdess_v0.1.0_train | |
| VAL: | |
| - stanford_qdess_v0.1.0_val | |
| DESCRIPTION: | |
| BRIEF: UNet segmentation following parameters used in MedSegPy - input=echo1-echo2-mc, | |
| 100 epochs, 0.001 lr w/ 0.9x decay every (2,) epochs, early stopping- T=12, delta=1e-05, | |
| bsz=16, qdess args=('orientation', 'sagittal') | |
| ENTITY_NAME: ss_recon | |
| EXP_NAME: seg-baseline/unet-medsegpy-echo1-echo2-mc | |
| PROJECT_NAME: ss_recon | |
| TAGS: | |
| - seg-baseline | |
| - baseline | |
| - unet-medsegpy | |
| - neurips | |
| MODEL: | |
| CASCADE: | |
| ITFS: | |
| PERIOD: 0 | |
| RECON_MODEL_NAME: '' | |
| SEG_MODEL_NAME: '' | |
| SEG_NORMALIZE: '' | |
| USE_MAGNITUDE: false | |
| ZERO_FILL: false | |
| CS: | |
| MAX_ITER: 200 | |
| REGULARIZATION: 0.005 | |
| DENOISING: | |
| META_ARCHITECTURE: GeneralizedUnrolledCNN | |
| NOISE: | |
| STD_DEV: | |
| - 1 | |
| USE_FULLY_SAMPLED_TARGET: true | |
| USE_FULLY_SAMPLED_TARGET_EVAL: null | |
| DEVICE: cpu | |
| META_ARCHITECTURE: GeneralizedUNet | |
| N2R: | |
| META_ARCHITECTURE: GeneralizedUnrolledCNN | |
| USE_SUPERVISED_CONSISTENCY: false | |
| NORMALIZER: | |
| KEYWORDS: [] | |
| NAME: TopMagnitudeNormalizer | |
| PARAMETERS: | |
| INIT: | |
| - initializers: (("kaiming_normal_", {"nonlinearity":"relu"}), "zeros_") | |
| kind: conv | |
| patterns: (".*weight", ".*bias") | |
| - initializers: ("ones_", "zeros_") | |
| kind: norm | |
| patterns: (".*weight", ".*bias") | |
| - initializers: ("xavier_uniform_",) | |
| patterns: ("output_block\.weight",) | |
| USE_COMPLEX_WEIGHTS: false | |
| RECON_LOSS: | |
| NAME: l1 | |
| RENORMALIZE_DATA: true | |
| WEIGHT: 1.0 | |
| SEG: | |
| ACTIVATION: sigmoid | |
| CLASSES: | |
| - pc | |
| - fc | |
| - men | |
| - tc | |
| INCLUDE_BACKGROUND: false | |
| IN_CHANNELS: 2 | |
| LOSS_NAME: FlattenedDiceLoss | |
| LOSS_WEIGHT: 1.0 | |
| MODEL: | |
| DYNUNET_MONAI: | |
| DEEP_SUPERVISION: false | |
| DEEP_SUPR_NUM: 1 | |
| KERNEL_SIZE: | |
| - 3 | |
| NORM_NAME: instance | |
| RES_BLOCK: false | |
| STRIDES: | |
| - 1 | |
| UPSAMPLE_KERNEL_SIZE: | |
| - 2 | |
| UNET_MONAI: | |
| ACTIVATION: | |
| - prelu | |
| - {} | |
| CHANNELS: [] | |
| DROPOUT: 0.0 | |
| KERNEL_SIZE: | |
| - 3 | |
| NORM: | |
| - instance | |
| - {} | |
| NUM_RES_UNITS: 0 | |
| STRIDES: [] | |
| UP_KERNEL_SIZE: | |
| - 3 | |
| VNET_MONAI: | |
| ACTIVATION: | |
| - elu | |
| - inplace: true | |
| DROPOUT_DIM: 3 | |
| DROPOUT_PROB: 0.5 | |
| USE_MAGNITUDE: true | |
| TASKS: | |
| - sem_seg | |
| TB_RECON: | |
| CHANNELS: | |
| - 16 | |
| - 32 | |
| - 64 | |
| DEC_NUM_CONV_BLOCKS: | |
| - 2 | |
| - 3 | |
| ENC_NUM_CONV_BLOCKS: | |
| - 1 | |
| - 2 | |
| - 3 | |
| KERNEL_SIZE: | |
| - 5 | |
| MULTI_CONCAT: [] | |
| ORDER: | |
| - conv | |
| - relu | |
| STRIDES: | |
| - 2 | |
| USE_MAGNITUDE: false | |
| UNET: | |
| BLOCK_ORDER: | |
| - conv | |
| - relu | |
| - conv | |
| - relu | |
| - bn | |
| CHANNELS: 32 | |
| DROPOUT: 0.0 | |
| IN_CHANNELS: 2 | |
| NUM_POOL_LAYERS: 5 | |
| OUT_CHANNELS: 2 | |
| UNROLLED: | |
| 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: 256 | |
| NUM_RESBLOCKS: 2 | |
| NUM_UNROLLED_STEPS: 5 | |
| PADDING: '' | |
| SHARE_WEIGHTS: false | |
| WEIGHTS: '' | |
| OUTPUT_DIR: results://skm-tea/neurips2021/U-Net_E1-oplus-E2 | |
| SEED: 9001 | |
| SOLVER: | |
| BASE_LR: 0.001 | |
| CHECKPOINT_MONITOR: val_loss | |
| CHECKPOINT_PERIOD: 1 | |
| EARLY_STOPPING: | |
| MIN_DELTA: 1.0e-05 | |
| MONITOR: val_loss | |
| PATIENCE: 12 | |
| GAMMA: 0.9 | |
| GRAD_ACCUM_ITERS: 1 | |
| LR_SCHEDULER_NAME: StepLR | |
| MAX_ITER: 100 | |
| MIN_LR: 1.0e-08 | |
| MOMENTUM: 0.9 | |
| OPTIMIZER: Adam | |
| STEPS: | |
| - 2 | |
| TEST_BATCH_SIZE: 40 | |
| TRAIN_BATCH_SIZE: 16 | |
| WARMUP_FACTOR: 0.001 | |
| WARMUP_ITERS: 1000 | |
| WARMUP_METHOD: linear | |
| WEIGHT_DECAY: 0.0 | |
| WEIGHT_DECAY_NORM: 0.0 | |
| TEST: | |
| EVAL_PERIOD: 1 | |
| EXPECTED_RESULTS: [] | |
| FLUSH_PERIOD: -5 | |
| QDESS_EVALUATOR: | |
| ADDITIONAL_PATHS: [] | |
| VAL_METRICS: | |
| RECON: [] | |
| SEM_SEG: | |
| - DSC | |
| - VOE | |
| - CV | |
| - DSC_scan | |
| - VOE_scan | |
| - CV_scan | |
| TIME_SCALE: epoch | |
| VERSION: 1 | |
| VIS_PERIOD: -100 | |