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cinderella_tomograms [2019/12/13 15:01] twagner [Training] |
cinderella_tomograms [2019/12/13 15:12] twagner [Prediction] |
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- | Path the following configuration and adapt it for your needs. The only things | + | Copy the following configuration |
<code json config.json> | <code json config.json> | ||
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- | This will train a classification network on the GPU with ID=1. After the training finishes, you get a '' | + | This will train a classification network on the GPU with ID=1. After the training finishes, you get a '' |
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==== Prediction ==== | ==== Prediction ==== | ||
+ | To run the prediction on ' | ||
+ | |||
+ | < | ||
+ | sp_cinderella_predict.py -i my_subtomograms.hdf -w my_model.h5 -o output_folder/ | ||
+ | </ | ||
+ | |||
+ | You will find two new mrcs files with the classified subtomograms. To check the results with e2display, you have to extract the central slices again (see | ||