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Unity-Technologies
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Robotics-Object-Pose-Estimation
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Apache License 2.0
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AIRO-1420 add GitHub actions
#38
Closed
peifeng-unity
closed
2 years ago
peifeng-unity
commented
2 years ago
Proposed change(s)
Add Github actions to check coding styles and jira links
Types of change(s)
[ ] Bug fix
[ ] New feature
[ ] Code refactor
[ ] Documentation update
[x] Other: linter
Checklist
[x] Ensured this PR is up-to-date with the target branch
[x] Followed the style guidelines as described in the
Contribution Guidelines
[x] Added tests that prove my fix is effective or that my feature works
[ ] Updated the
Changelog
and described changes in the
Unreleased section
[ ] Updated the documentation as appropriate
Other comments
Proposed change(s)
Add Github actions to check coding styles and jira links
Types of change(s)
Checklist
Other comments