Code for the 3D-QCNet Paper - https://arxiv.org/abs/2103.05285
Input: Sample data that was part of the test used in the study is provided for users to evaluate the model.
Output: An annotated csv file with predicted labels is generated and scans are also sorted into respective classes in the output directory.
conda create --name 3dqc python=3.6
conda activate 3dqc
pip install -r requirements.txt
python 3d-qcnet.py --mode test