cinderella_tomograms
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cinderella_tomograms [2019/12/13 14:58] twagner [Training] |
cinderella_tomograms [2019/12/13 15:13] twagner [Prediction] |
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| After your created your training data, you can start the training :-) | After your created your training data, you can start the training :-) | ||
| + | You need to specifiy all settings into one config file. To that, create an empty file with | ||
| + | < | ||
| + | touch config.json | ||
| + | </ | ||
| - | Then specify | + | Copy the following configuration |
| <code json config.json> | <code json config.json> | ||
| Line 65: | Line 69: | ||
| </ | </ | ||
| - | 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 '' |
| Line 71: | Line 75: | ||
| ==== 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 [[cinderella_tomograms# | ||
cinderella_tomograms.txt ยท Last modified: 2019/12/13 16:13 by twagner
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