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Unity-Technologies / 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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add changelog #29

Closed peifeng-unity closed 3 years ago

peifeng-unity commented 3 years ago

Proposed change(s)

Describe the changes made in this PR.

Useful links (GitHub issues, JIRA tickets, forum threads, etc.)

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Types of change(s)

[ ] Bug fix
[ ] New feature
[ ] Code refactor
[x] Documentation update
[ ] Other (please describe)

Testing and Verification

Document update

Checklist

[x] Ensured this PR is up-to-date with the target branch
[ ] Followed the style guidelines as described in the Contribution Guidelines
[ ] Added tests that prove my fix is effective or that my feature works
[x] Updated the documentation as appropriate

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