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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AIRO-1420 add GitHub actions #38

Closed peifeng-unity closed 2 years ago

peifeng-unity commented 2 years ago

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Add Github actions to check coding styles and jira links

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