- Barbier Team
- Developed by Stenzel Cackowski
- pip3 install virtualenv
- virtualenv env
- source env/bin/activate
- sudo pip3 install -r requirements.txt
- First dispatch your data in a container folder "$data" in 3 folder "$train" "$val" "$test", using the BIDS nomenclature $data/$train/$subject_id/${subject_id}_${sequences_name}.nii.gz
- Then generate patches to feed our neural network using the patches_generation.py script. --help will list required or optional additional parameters
- Then you can generate and train you model using the "use_model.py" script. --help will list required or optional additional parameters
- In case of generation / segmentation usage you might need to reconstruct infered output using the reconstruction.py script