Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs at https://github.com/ageitgey/face_recognition/issues.
If you are reporting a bug, please include:
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
The best way to send feedback is to file an issue at https://github.com/ageitgey/face_recognition/issues.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Ready to contribute? Here's how to set up face_recognition for local development.
Fork the face_recognition repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/face_recognition.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv face_recognition $ cd face_recognition/ $ python setup.py develop
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you're done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
$ flake8 face_recognition tests $ python setup.py test or py.test $ tox
To get flake8 and tox, just pip install them into your virtualenv.
Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
- The pull request should work for Python 2.7, 3.5, 3.6, 3.7 and 3.8, and for PyPy. Check https://travis-ci.org/ageitgey/face_recognition/pull_requests and make sure that the tests pass for all supported Python versions.
To run a subset of tests:
$ python -m unittest tests.test_face_recognition