tests |
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David Silva-Sánchez, Lars Dingeldein, Roberto Covino, Pilar Cossio
- Lampe
- SciPy
- NumPy
- PyTorch
- json
https://github.com/DSilva27/cryo_em_SBI.git
- ::
- python3 -m pip install .
python3 -m cryo_sbi.generate_training_set --config_file experiments/benchmark_hsp90/image_params_snr01_128.json --num_train_samples 10 --num_val_samples 10 --file_name "test1" --n_workers 24
python3 -m cryo_sbi.inference.NPE_train_without_saving \
--image_config_file experiments/benchmark_hsp90/image_params_training.json \
--train_config_file experiments/benchmark_hsp90/resnet18_encoder.json\
--epochs 100 \
--estimator_file experiments/benchmark_hsp90/posterior_hsp90.estimator \
--loss_file experiments/benchmark_hsp90/posterior_hsp90.loss