--- a
+++ b/resources/config.ini
@@ -0,0 +1,97 @@
+[basics]
+train_flag: false
+compute_patches: false
+resume: false
+
+test_flag: true
+uncertainty_flag: true
+
+plot: false
+tensorboard_logs: tensorboard_logs/
+
+[uncertainty]
+n_iterations: 20
+# uncertainty_type: ttd
+uncertainty_type: tta
+use_dropout: false
+
+[model]
+model_path_local: /Users/lauramora/Documents/MASTER/TFM/Code/BrainTumorSegmentation/results/checkpoints/last_models/
+model_path_server: /mnt/gpid07/users/laura.mora/results/checkpoints/
+
+# newer checks!
+# checkpoint: last_models/checkpoint_epoch_349_val_loss_0.33079595190204986_dice_0.6692040464649461.pth
+# checkpoint: model_1598640005/checkpoint_epoch_168_val_loss_0.20105469390137554_dice_0.7989453060986245.pth
+# checkpoint: model_1598639885/checkpoint_epoch_198_val_loss_0.19342842820572526_dice_0.8065715717942747.pth
+checkpoint: model_1598640035/checkpoint_epoch_142_val_loss_0.21437616135976087_dice_0.7856238380039416.pth
+# checkpoint: model_1598550861/checkpoint_epoch_215_val_loss_0.2378825504485875_dice_0.7621174487349105.pth
+# checkpoint: model_1598651693/checkpoint_epoch_297_val_loss_0.3553243059001557_dice_0.644675692108026.pth
+# checkpoint: model_1598651693/checkpoint_epoch_316_val_loss_0.33101850666411936_dice_0.6689814933358806.pth
+
+
+loss: gdl
+eval_regions: false
+init_features_maps: 32
+
+n_epochs: 100
+# network: 3dunet
+network: 3dunet_residual
+# network: vnet_asymm
+
+# unet
+unet_order: crg
+# cli  -  conv + LeakyReLU + instancenorm
+
+# vnet asymm
+non_linearity: relu
+kernel_size: 3
+padding: 1
+# vnet
+use_elu: true
+
+
+# optimizer
+optimizer: ADAM
+learning_rate: 1e-4
+weight_decay: 1e-5
+
+## sgd only
+momentum: 0.99
+
+# scheduler LR
+scheduler: true
+patience: 30
+## by a factor of 5
+lr_decay: 0.2
+
+[dataset]
+dataset_root_path_server: /mnt/gpid07/users/laura.mora/datasets/2020/
+dataset_root_path_local: /Users/lauramora/Documents/MASTER/TFM/Data/2020/
+
+dataset_train_folder: train
+dataset_val_folder: validation
+dataset_test_folder: test
+
+train_csv: brats20_data.csv
+test_csv: brats20_data.csv
+val_csv: brats20_val.csv
+
+classes: 4
+n_modalities: 4
+# Use dataloader
+batch_size: 2
+lgg_only: false
+
+# If using sampler
+n_patients_per_batch: 8
+n_patches: 1
+# source_sampling: src.dataset.patching.centered_crop_patch
+# source_sampling: src.dataset.patching.random_tumor_distribution
+source_sampling: src.dataset.patching.no_patch
+# sampling_method: src.dataset.patching.no_patch
+sampling_method: src.dataset.patching.random_tumor_distribution
+# sampling_method: src.dataset.patching.random_distribution
+# sampling_method: src.dataset.patching.binary_distribution
+patch_size: 64
+            64
+            64