NVlabs / FoundationPose

[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
https://nvlabs.github.io/FoundationPose/
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Can the algorithm achieve sub-millimeter absolute positional accuracy?Does the accuracy of the algorithm depend on the accuracy of the camera, or can the algorithm improve the accuracy of the camera? #198

Closed sgg-al closed 2 months ago

sgg-al commented 3 months ago

What is the absolute accuracy of the pose obtained by this algorithm? Has the author team done any relevant work to verify it?

wenbowen123 commented 3 months ago

The accuracy - measured by the absolute error - is depending lots of things, such as image resolution, depth quality, camera intrinsics, etc. For reference, you can check the BOP benchmark, which can provide some sense on the relative accuracy among methods. We also have a recent work that uses FoundationPose for high-precision robotic industrial assembly.

Cheney-36 commented 1 month ago

By the way, when will this work be integrated into the ISSAC lab

wenbowen123 commented 1 month ago

@Cheney-36 it has been integrated into Isaac ROS. See our readme.

Cheney-36 commented 1 month ago

@Cheney-36它已集成到 Isaac ROS 中。请参阅我们的自述文件。

I didn't express myself clearly. I am very curious about your AutoMate work, which is excellent. I saw plans to integrate it into Isaac Lab. Do you know the timeline?

wenbowen123 commented 4 days ago

@Cheney-36 it has been released here.

Cheney-36 commented 2 days ago

Thank you for your reminder, excellent work