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A set of tools for working with DeepRacer training

Project description

deepracer-utils

A set of utilities to take your DeepRacer experience to the next level.

Development

Prepare the environment

For pip/venv:

python3 -m venv env
source env/bin/activate
pip install -r requirements.txt

(For newer systems python3 may be referred to as python)

For Anaconda:

conda create --name env pip
conda activate pip
pip install -r requirements.txt

Install deepracer-utils for development

python setup.py develop

Once finished working, run:

python setup.py develop --uninstall

See Python Packaging User Guide for more info.

Testing

Run:

tox

This will package the project, install and run tests.

Verifying the style guide

Run:

pycodestyle

Releasing, Packaging, distribution

Marking new release:

git tag deepracer-utils-version
git push origin deepracer-utils-version

Building the package:

python setup.py sdist bdist_wheel

Uploading to test.pypi.org:

python -m twine upload --repository-url https://test.pypi.org/legacy/ dist/*

Uploading to pypi.org:

python -m twine upload dist/*

License

This project retains the license of the aws-deepracer-workshops project which has been forked for the initial Community contributions. Our understanding is that it is a license more permissive than the MIT license and allows for removing of the copyright headers. We have decided to preserve the headers and only add copyright notice for the Community.

Standards and good practices, contributing

While doing our best to make deepracer-utils an outcome of best practices and standards, we are using what we learn, as we learn. If you see a solution that would be better to apply, if you see something that is a risk, do raise it with the Community. Thank you.

We are open to merge requests. Please open an issue first to agree on the outcomes of your work.

Contact

You can contact Tomasz Ptak through the Community Slack: http://join.deepracing.io

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