This repo contains the code used in AC-CovidNet paper.
- Download data using covidx_download.ipynb
- Preprocess using preprocessing.ipynb
- Train the model using supcon.py
- Use that trained model and test using main.py (main.py can also be used to train and test covidnet)
Code used from:
Supcon - https://github.com/keras-team/keras-io/blob/master/examples/vision/supervised-contrastive-learning.py covinet keras implementation - https://github.com/busyyang/COVID-19 covidx data generation and preprocessing - https://github.com/lindawangg/COVID-Net