- Check your cuda version. I've tested
cu102
and it is able to work. - Python version >=
3.8
would be recommended. - To install the python packages, change the variable
CUDA
in the scriptreq_torch_geo.sh
, then run it. - To train the model, run the following command:
python main.py --config demo --stage 1
- To evaluate the model, run the following command:
python main.py --config demo --stage 2
- To perform meta-testing on the model, run the following command:
# i = 1, 2, 3, 4, 5, 6 # j = 1, 2, 3 python main.py --config demo --stage 3 --eval spt<i>set<j> --pred qry<i>
- Clinical task:
# i = 1, 2, 3, 4 python main.py --config demo --stage 3 --eval real_spt<i> --pred real_qry<i>
- To make graphs based on the pre-defined geometry, run the following command:
python main.py --config demo --stage 0
- Check here for data.
-
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Repository for MICCAI 2022 work, "Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning"
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