NVIDIA-ISAAC-ROS / NVIDIA-ISAAC-ROS/isaac_ros_pose_estimation
Is FoundationPose not real-time on Jetson AGX ORIN 64G devkit?
Nobody has claimed this yet.
- Dominant language
- C++
- Stars
- 501
- Forks
- 57
- PR merge metrics
- No merged PRs in 30d
Description
Based on this screenshot, is it safe to assume that FoundationPose is far from real-time on Jetson AGX ORIN 64G? Is the reported number based on converting pth weight to TensorRT model or is it simply running the docker on Jetson?
I am wondering if there is any room for improvement for FoundationPose on Jetson AGX RIN 64G to make it (near-)real time (15-30 FPS)?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the screenshot and the reported FoundationPose timing on the Jetson AGX ORIN 64G devkit. Clarify whether the measurement uses converted TensorRT weights or only the Docker setup, then benchmark possible improvements against the requested 15–30 FPS target. Done means the measurement conditions and achievable performance are documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, docker
- Domain
- computer-vision, embedded-iot, machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100