Repository for my master thesis at EPFL: "Neural controlled differential equations for Crops classification"
Datasets
The datasets used for the experiments are available at request at jagajardo@uc.cl.
Running the code
The code can be run from the command line. To run the code for either dataset change the data_root flag:
python crop_dataset_v10.py --data_root "YOUR/DATA/PATH" --no_logwandb
python swisscrop_dataset_v1.py --data_root "YOUR/DATA/PATH" --no_logwandb
To change the model pass the --model flag, options are: ncde, odernn, rnn, lstm, and gru.
For a complete list of CLI arguments check out:
python crop_dataset_v10.py --help
Process results stored in json files as summary plot or table:
python process_results.py --form table --metrics "test acc" "test f1"