This uses the same example data as the LSTM model, so please generate the data (all the steps until using LSTMModel.py) according to the example in the main README.md first.
Note, resuming training is currently bricked for the DilatedCNNModel.py
python3 helixer/prediction/DilatedCNNModel.py \
--data-dir example/train/ \
--save-model-path example/best_helixer_model.h5 \
--epochs 5
python3 helixer/prediction/DilatedCNNModel.py \
--load-model-path example/best_helixer_model.h5 \
--test-data example/test/test_data.h5 \
--prediction-output-path example/mpusillaCCMP1545_predictions.h5
python3 helixer/prediction/DilatedCNNModel.py \
--load-model-path example/best_helixer_model.h5 \
--test-data example/test/test_data.h5 --eval
(have not actually tested)
python3 helixer/visualization/visualize.py --predictions example/mpusillaCCMP1545_predictions.h5 --test-data example/test/test_data.h5