# install project
conda create -y -n can python=3.7
conda activate can
conda install --yes -c pytorch=1.7.0 torchvision cudatoolkit=<11.0.221> # <ur-cuda-version>
pip install -e .
Check the config file config.py and train with the CROHME dataset:
python train.py --dataset CROHME
By default the batch size is set to 8 and you may need to use a GPU with 32GB RAM to train your model.
Fill in the checkpoint (pretrained model path) in the config file config.py and test with the CROHME dataset:
python inference.py --dataset CROHME
python inference.py --dataset CROHME --draw_map True
Note that the testing dataset path is set in the inference.py.