TFF

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YovaKem

Thanks again for your excellent work! I'm following the same pipeline of your using the fMRI. I notice that you load the TR sequence randomly (the random_TR argument). Could you...

rootnx

Preprocessing for ucla datasets

3

Thank you for your excellent works! Could you provide the code for preprocessing the ucla datasets as well? Or is it identical to the HCP datasets?

rootnx

0it [00:00, ?it/s] 0it [00:00, ?it/s] ______epoch summary 1/10_____ Traceback (most recent call last): File "main.py", line 137, in main(base_path) File "main.py", line 118, in main model_weights_path_phase1 = run_phase(args,None,'1','autoencoder_reconstruction') File...

brillianti

def test(args, model_weights_path): experiment_folder = '{}_{}_{}'.format(args.dataset_name, 'test_{}'.format(args.fine_tune_task), datestamp()) experiment_folder = os.path.join(args.base_path, 'tests', experiment_folder) os.makedirs(experiment_folder) # _ = run_phase(args, model_weights_path, '3', 'test') trainer = Trainer(experiment_folder, '3', args, ['test'], model_weights_path) trainer.testing()

Pythonerzan

hey, i am currently facing a similar issue. Could you please possibly share how i can make the code work for ucla dataset ? _Originally posted by @kri14 in https://github.com/GonyRosenman/TFF/issues/2#issuecomment-1500881552_

kri14

Thank you for your very outstanding work, I would like to ask where is the multiprocessing from multiprocessing import Process, Queue in prepreocessing.py in data_preprocess_and_load, I don't find it!

guoshuyu123