Deep Vision Project IWR University Heidelberg
Project has been developed as final exam for Deep Vision. Detection of infected patients is an important task, expecially with the current Covid-19 pandemic. We want to explore the possibility of applying machine learning techniques to determine whether a patient is infected based on a X-Ray images of his lungs.
To get a local copy up and running follow these simple steps.
First, you need to download the NIH dataset. You can use aria2c.
- Use aria2c to download NIH dataset
aria2c NIH-e615d3aebce373f1dc8bd9d11064da55bdadede0.torrent
- Unzip NIH images
tar -xzf images-224.tar.gz
- Move NIH images
mv ./images-224 {PATH_TO_DATA_FOLDER}/data/images-nih
- Get COVD-19 images
git clone https://github.com/ieee8023/covid-chestxray-dataset.git
- Get COVD-19 images
mv ./images {PATH_TO_DATA_FOLDER}/data/images-covid
- Clone the repo
git clone https://github.com/stefanDeveloper/covid-19-neural-network.git
- Run main
python main.py
See the open issues for a list of proposed features (and known issues).
Distributed under the MIT License. See LICENSE
for more information.