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.

Unity-Technologies
Unity-Technologies
Date Created 2021-02-19 (4 years ago)
Commits 102 (last one 3 years ago)
Stargazers 310 (0 this week)
Watchers 15 (0 this week)
Forks 77
License apache-2.0
Ranking

RepositoryStats indexes 622,366 repositories, of these Unity-Technologies/Robotics-Object-Pose-Estimation is ranked #134,992 (78th percentile) for total stargazers, and #147,866 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #23,567/126,222.

Unity-Technologies/Robotics-Object-Pose-Estimation is also tagged with popular topics, for these it's ranked: deep-learning (#2,824/8741),  machine-learning (#2,715/8311),  computer-vision (#965/3242),  unity (#556/2112),  tutorial (#539/1549),  robotics (#368/1356),  simulation (#219/1051),  ros (#183/784),  pose-estimation (#104/342),  physics-simulation (#36/162),  motion-planning (#41/157)

Other Information

Unity-Technologies/Robotics-Object-Pose-Estimation has Github issues enabled, there are 7 open issues and 26 closed issues.

There have been 1 release, the latest one was published on 2021-02-19 (4 years ago) with the name Object Pose Estimation Tutorial.

Star History

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Watcher History

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Recent Commit History

5 commits on the default branch (main) since jan '22

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Issue History

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Languages

The primary language is Python but there's also others...

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Unity-Technologies/Robotics-Object-Pose-Estimation

updated: 2025-02-24 @ 03:40am, id: 340219153 / R_kgDOFEdVEQ