{ "exp_name": "TTA-meanJSD50", "debug": false, "data": { "dataset_name": "preprocessed_ACDC_256_train_normalized", "num_items": "all", "shape": "(256, 256)", "downsample_size": "(128, 128)", "patch": { "patch_size": 0, "selective": null }, "augment": true, "new_augmentations": false, "augmentations": "['flip', 'rotation', 'gaussian_noise']", "augmentation_params": { "gaussian_noise": { "mean": 0, "std": 0.01 } } }, "training": { "activate_plot": false, "deterministic": true, "log_every": 10, "num_workers": 5, "num_epochs": 75, "num_batches_per_epoch": 250, "max_num_labeled": 200, "batch_size": 4, "loss": "dice", "scale_loss": false, "normalize_fct": "softmax", "two_steps_forward_prop": false, "val_data": [ 654, 114, 25, 281, 250, 228, 142, 104, 692, 558, 89, 604, 432, 32, 30, 95, 223, 238, 517, 616, 27, 574, 203, 733, 665, 718, 750, 429, 225, 459, 603, 284, 6, 163, 714, 747, 348, 728, 159, 220, 344, 752, 94, 389, 99, 367, 352, 618, 270, 44, 470, 549, 127, 387, 80, 565, 300, 643, 633, 370, 591, 196, 71, 46, 677, 233, 296, 81, 742, 103, 716, 722, 464, 650, 373, 166, 379, 363, 214, 273, 663, 73, 623, 686, 175, 546, 755, 167, 473, 388, 276, 655, 570, 224, 332, 57, 234, 746, 323, 410 ], "data_selection": { "initial_budget": [ 22, 31, 40, 54, 70, 98, 131, 151, 231, 255, 310, 329, 381, 437, 537, 557, 626, 671, 698, 292 ], "budget": 1, "sampling_with_best_models": false, "type": "CrossAugConsistency", "CrossAugConsistency_unsup_loss_weight": 1.0, "CrossAugConsistency_unsup_loss_weight_rampup": true, "CrossAugConsistency_unsup_loss_weight_rampup_length": 10, "CrossAugConsistency_unsup_data_augmented": true, "CrossAugConsistency_unsup_loss_type": "JSD", "CrossAugConsistency_num_augmentations": 3, "CrossAugConsistency_new_augmentations": false, "CrossAugConsistency_augmentation_list": "['flip', 'rotation', 'gaussian_noise']", "CrossAugConsistency_augmentation_params": { "gaussian_noise": { "mean": 0, "std": 0.01 } }, "CrossAugConsistency_alpha_jsd": 0.5, "sampling_type": "TestTimeAug_MeanJSD", "sampling_augmentation_list": "['hflip', 'rot90', 'gaussian_noise']", "sampling_augmentation_params": { "num_augmentations": 8, "gaussian_noise": { "mean": 0, "std": 0.01 } }, "alpha_jsd": 0.5 }, "model": { "model_name": "ModUNet2D", "in_channels": 1, "out_channels": 4, "num_init_filters": 64, "channel_list": [ 64, 128, 256, 512 ], "structure": { "dropout_rate": 0.5, "conv_block": { "normalization": "batch_norm", "batch_norm_momentum": 0.1, "activation_fct": "leakyReLU", "kernal_size": 3, "stride": 1, "padding": 1 }, "pooling": { "kernal_size": 2, "stride": 2, "padding": 0 }, "upconv": { "kernal_size": 2, "stride": 2, "padding": 0 } } }, "optimizer": { "optimizer_name": "Adam", "init_lr": 1e-06, "weight_decay": 0.0001, "betas": [ 0.9, 0.999 ] }, "scheduler": { "sched_name": "CosineAnnealingLR", "gradual_warmup": true, "max_epoch": 75, "warmup_max": 10, "multiplier": 200, "sched_early_stop_model_only": false } } }