Welcome to the DDEQ repository!
To install the necessary dependencies, run:
pip install -r requirements.txt
To use this project, you first need to download the datasets, namely MNIST Point Cloud
and ModelNet40. The MNIST files should be saved in the MNISTPointCloud
folder.
Save the ModelNet40 dataset somewhere and change DATA_PATH
in src/modelnet.py
accordingly. The dataset can then be created using the load_modelnet
function in that file. Since creating the dataset takes some time, it's a good idea to save the dataset, which can then be loaded with the load_modelnet_saved
function.
Once the datasets are set up, simply run the train_torchdeq.py
file.
This project is licensed under the GNU License.