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| "all_tr_losses": "[]", | |
| "all_val_eval_metrics": "[]", | |
| "all_val_losses": "[]", | |
| "all_val_losses_tr_mode": "[]", | |
| "also_val_in_tr_mode": "False", | |
| "amp_grad_scaler": "None", | |
| "base_num_features": "32", | |
| "basic_generator_patch_size": "[1505 1505]", | |
| "batch_dice": "True", | |
| "batch_size": "2", | |
| "best_MA_tr_loss_for_patience": "None", | |
| "best_epoch_based_on_MA_tr_loss": "None", | |
| "best_val_eval_criterion_MA": "None", | |
| "classes": "[[1, 2, 3, 4]]", | |
| "conv_per_stage": "2", | |
| "data_aug_params": "{'selected_data_channels': None, 'selected_seg_channels': [0], 'do_elastic': False, 'elastic_deform_alpha': (0.0, 200.0), 'elastic_deform_sigma': (9.0, 13.0), 'p_eldef': 0.2, 'do_scaling': True, 'scale_range': (0.7, 1.4), 'independent_scale_factor_for_each_axis': False, 'p_independent_scale_per_axis': 1, 'p_scale': 0.2, 'do_rotation': True, 'rotation_x': (-3.141592653589793, 3.141592653589793), 'rotation_y': (-0.0, 0.0), 'rotation_z': (-0.0, 0.0), 'rotation_p_per_axis': 1, 'p_rot': 0.2, 'random_crop': False, 'random_crop_dist_to_border': None, 'do_gamma': True, 'gamma_retain_stats': True, 'gamma_range': (0.7, 1.5), 'p_gamma': 0.3, 'do_mirror': True, 'mirror_axes': (0, 1), 'dummy_2D': False, 'mask_was_used_for_normalization': OrderedDict([(0, False)]), 'border_mode_data': 'constant', 'all_segmentation_labels': None, 'move_last_seg_chanel_to_data': False, 'cascade_do_cascade_augmentations': False, 'cascade_random_binary_transform_p': 0.4, 'cascade_random_binary_transform_p_per_label': 1, 'cascade_random_binary_transform_size': (1, 8), 'cascade_remove_conn_comp_p': 0.2, 'cascade_remove_conn_comp_max_size_percent_threshold': 0.15, 'cascade_remove_conn_comp_fill_with_other_class_p': 0.0, 'do_additive_brightness': False, 'additive_brightness_p_per_sample': 0.15, 'additive_brightness_p_per_channel': 0.5, 'additive_brightness_mu': 0.0, 'additive_brightness_sigma': 0.1, 'num_threads': 12, 'num_cached_per_thread': 2, 'patch_size_for_spatialtransform': array([1280, 1024])}", | |
| "dataset_directory": "/home/woody/iwi5/iwi5039h/nnUNet_data/nnUNet_preprocessed/Task500_Glacier_zonefronts", | |
| "deep_supervision_scales": "[[1, 1, 1], [0.5, 0.5], [0.25, 0.25], [0.125, 0.125], [0.0625, 0.0625], [0.03125, 0.03125], [0.015625, 0.015625], [0.0078125, 0.0078125]]", | |
| "deterministic": "False", | |
| "dl_tr": "<nnunet.training.dataloading.dataset_loading.DataLoader2D object at 0x7f7ed281c520>", | |
| "dl_val": "<nnunet.training.dataloading.dataset_loading.DataLoader2D object at 0x7f7ed2401f10>", | |
| "do_dummy_2D_aug": "False", | |
| "ds_loss_weights": "[0.50393701 0.2519685 0.12598425 0.06299213 0.03149606 0.01574803\n 0.00787402 0. ]", | |
| "epoch": "0", | |
| "experiment_name": "nnUNetTrainerV2", | |
| "fold": "1", | |
| "folder_with_preprocessed_data": "/home/woody/iwi5/iwi5039h/nnUNet_data/nnUNet_preprocessed/Task500_Glacier_zonefronts/nnUNetData_plans_v2.1_2D_stage0", | |
| "fp16": "True", | |
| "gt_niftis_folder": "/home/woody/iwi5/iwi5039h/nnUNet_data/nnUNet_preprocessed/Task500_Glacier_zonefronts/gt_segmentations", | |
| "inference_pad_border_mode": "constant", | |
| "inference_pad_kwargs": "{'constant_values': 0}", | |
| "init_args": "('/home/woody/iwi5/iwi5039h/nnUNet_data/nnUNet_preprocessed/Task500_Glacier_zonefronts/nnUNetPlansv2.1_plans_2D.pkl', 1, '/home/woody/iwi5/iwi5039h/nnUNet_data/RESULTS_FOLDER/nnUNet/2d/Task500_Glacier_zonefronts/nnUNetTrainerV2__nnUNetPlansv2.1', '/home/woody/iwi5/iwi5039h/nnUNet_data/nnUNet_preprocessed/Task500_Glacier_zonefronts', True, 0, True, False, True)", | |
| "initial_lr": "0.01", | |
| "log_file": "/home/woody/iwi5/iwi5039h/nnUNet_data/RESULTS_FOLDER/nnUNet/2d/Task500_Glacier_zonefronts/nnUNetTrainerV2__nnUNetPlansv2.1/fold_1/training_log_2022_4_11_16_28_44.txt", | |
| "lr_scheduler": "None", | |
| "lr_scheduler_eps": "0.001", | |
| "lr_scheduler_patience": "30", | |
| "lr_threshold": "1e-06", | |
| "max_num_epochs": "500", | |
| "min_region_size_per_class": "None", | |
| "min_size_per_class": "None", | |
| "net_conv_kernel_sizes": "[[3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3]]", | |
| "net_num_pool_op_kernel_sizes": "[[2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2]]", | |
| "net_pool_per_axis": "[8, 8]", | |
| "normalization_schemes": "OrderedDict([(0, 'nonCT')])", | |
| "num_batches_per_epoch": "250", | |
| "num_classes": "[5]", | |
| "num_input_channels": "1", | |
| "num_val_batches_per_epoch": "50", | |
| "online_eval_fn": "[]", | |
| "online_eval_foreground_dc": "[]", | |
| "online_eval_fp": "[]", | |
| "online_eval_tp": "[]", | |
| "only_keep_largest_connected_component": "None", | |
| "optimizer": "SGD (\nParameter Group 0\n dampening: 0\n lr: 0.01\n momentum: 0.99\n nesterov: True\n weight_decay: 3e-05\n)", | |
| "output_folder": "/home/woody/iwi5/iwi5039h/nnUNet_data/RESULTS_FOLDER/nnUNet/2d/Task500_Glacier_zonefronts/nnUNetTrainerV2__nnUNetPlansv2.1/fold_1", | |
| "output_folder_base": "/home/woody/iwi5/iwi5039h/nnUNet_data/RESULTS_FOLDER/nnUNet/2d/Task500_Glacier_zonefronts/nnUNetTrainerV2__nnUNetPlansv2.1", | |
| "oversample_foreground_percent": "0.33", | |
| "pad_all_sides": "None", | |
| "patch_size": "[1280 1024]", | |
| "patience": "50", | |
| "pin_memory": "True", | |
| "plans_file": "/home/woody/iwi5/iwi5039h/nnUNet_data/nnUNet_preprocessed/Task500_Glacier_zonefronts/nnUNetPlansv2.1_plans_2D.pkl", | |
| "regions_class_order": "None", | |
| "save_best_checkpoint": "True", | |
| "save_every": "1", | |
| "save_final_checkpoint": "True", | |
| "save_intermediate_checkpoints": "True", | |
| "save_latest_only": "True", | |
| "stage": "0", | |
| "threeD": "False", | |
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| "transpose_backward": "[0, 1, 2]", | |
| "transpose_forward": "[0, 1, 2]", | |
| "unpack_data": "True", | |
| "use_mask_for_norm": "OrderedDict([(0, False)])", | |
| "use_progress_bar": "True", | |
| "val_eval_criterion_MA": "None", | |
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| "weight_decay": "3e-05" | |
| } |