[DATA]
data_folder_name = "datasets"
input_data_train = "input_data_train.h5"
target_data_train = "target_data_train.h5"
input_data_validation = "input_data_validation.h5"
target_data_validation = "target_data_validation.h5"
crop_flag = True

[TRAINING]
experiment_name = "VA2-1"
pre_trained_path = "saved_models/VA2-1.pth.tar"
training_batch_size = 3
validation_batch_size = 3
use_pre_trained = False
learning_rate = 1e-5
optimizer_beta = (0.9, 0.999)
optimizer_epsilon = 1e-8
optimizer_weigth_decay = 1e-5
number_of_epochs = 10
loss_log_period = 50
learning_rate_scheduler_step_size = 6
learning_rate_scheduler_gamma = 1e-1
use_last_checkpoint = False
adam_w_flag = False

[NETWORK]
first_kernel_size = 9
first_convolution_stride = 1
input_channels = 1
output_channels = 32
max_number_channels = 128
kernel_size = 3
convolution_stride = 2
number_of_encoder_blocks = 2
transformer_blocks_stride = 1
number_of_transformer_blocks = 6
kernel_classification = 9
pool_kernel_size = 3
pool_stride = 2
dropout = 0
final_activation = 'tanh'
number_of_classes = 1
custom_weight_reset_flag = False
cross_domain_flag = False
cross_domain_x2x_flag = False
cross_domain_y2y_flag = False
cross_domain_x2y_flag = False
number_of_feature_mapping_blocks = 1

[MISC]
save_model_directory = "saved_models"
logs_directory = "logs"
checkpoint_directory = "checkpoints"
experiments_directory = "experiments"
device = 0

[EVALUATION]
trained_model_path = "saved_models/model.pth.tar"
data_directory = "/well/win-biobank/projects/imaging/data/data3/subjectsAll/"
data_file = "/dMRI/autoptx_preproc/tractsNormSummed.nii.gz"
output_targets = "/fMRI/rfMRI_25.dr/dr_stage2.nii.gz"
data_list = "test.txt"
orientation = "coronal"
saved_predictions_directory = "predictions"