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.
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Stars
338
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82
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 13, 2022
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