We want to make contributing to AudioSeal as easy as possible. Please make sure to read this guideline carefully.
AudioSeal is a lightweight Python library that only relies on PyTorch, Numpy and OmegaConf (for
model card loading). Currenet minimal Pytorch requirement is 13.0, and it is advisable to
keep the constraints on PyTorch as lenient as possible. Please keep both the text file
requirements.txt
and the Poetry file pyproject.toml
up-to-date should you change the
third-party library requirements.
git clone https://github.com/facebookresearch/audioseal.git
And, install the package in editable mode with development tools before contributing:
cd audioseal
pip install -e ".[dev]"
Alternatively, you can also install the package and its development tools separately
cd audioseal
pip install -e .
pip install -r requirements-dev.txt
It is advisable to keep your commits linted and syntax-correct. In AudioSeal we provide a few [pre-commit] hooks to support that. Simply install pre-commit:
pre-commit install .
We actively welcome your pull requests.
- Fork the repo and create your branch from
main
. - If you've added code that should be tested, add tests.
- If you've changed APIs, update the documentation.
- Ensure the test suite passes.
- Make sure your code lints.
- If you haven't already, complete the Contributor License Agreement ("CLA").
In order to accept your pull request, we need you to submit a CLA. You only need to do this once to work on any of Meta's open source projects.
Complete your CLA here: https://code.facebook.com/cla
We use GitHub issues to track public bugs. Please ensure your description is clear and has sufficient instructions to be able to reproduce the issue.
Meta has a bounty program for the safe disclosure of security bugs. In those cases, please go through the process outlined on that page and do not file a public issue.
By contributing to SONAR
, you agree that your contributions will be licensed
under the LICENSE file in the root directory of this source tree.