Learn how to use OrcaNet in just 4 simple steps! This assumes you have already installed orcanet.
Create a directory for your training with an adequate name. E.g.:
This directory will contain all the logfiles, plots, checkpoints etc. of this training.
Create your toml configuration files and move them into your directory. These toml files describe:
The data that will be used (
The configuration of the training (
The architecture of the model (
See Toml files for more details on these files.
Make sure to give them these exact names
This allows OrcaNet to automatically discover them in your directory.
Start the training like this:
orcanet train my_first_orcanet_training
You can monitor how the training goes by looking at the summary plot in my_first_orcanet_training/plots/summary_plot.pdf. Or, if you prefer an interactive plot, with this command:
orcanet summarize my_first_orcanet_training
To resume a training, just run the train command again. Once the model has fully converged, you can continue with the next step.
Save the output of the model to hdf5 like this:
orcanet predict my_first_orcanet_training
or like this:
orcanet inference my_first_orcanet_training
Depending on wether you want to use the validation files or the
inference files as an input.
The result gets saved to
If you want to learn how to use the python interface of OrcaNet, you can check out OrcaNet python overview.