Akademicki projekt analizatora EKG realizowanego na przedmiocie "Dedykowane algorytmy diagnostyki medycznej"
Automatic installation - mamba
micromamba create -n "test" python=3.10 -c conda-forge
micromamba activate test
pip3 install django
pip3 install scipy
pip3 install django-crispy-forms
pip3 install wfdb
pip3 install padasip
pip3 install plotly
pip3 install pandas
mkdir static
python3 ./manage.py makemigrations
python3 ./manage.py migrate
python3 manage.py runserver
http://127.0.0.1:8000/wav_details/ecg_baseline/1
- Clone the project
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new pull request
- When feature is ready add reviewers and wait for feedback (at least one approve should be given and all review comments should be resolved)