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.
What is the Unity-Technologies/Robotics-Object-Pose-Estimation GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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