MogeV2 ROS2 Node
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- Dominant language
- JavaScript
- Stars
- 3k
- Forks
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Description
https://github.com/user-attachments/assets/c03a8c50-b197-43a0-9ccf-41ebafa33e10
Hi guys,
for everyone interested deploying MoGeV2 in a robot, I have setup a ROS2 TensoRT inference node for MogeV2:
https://github.com/ika-rwth-aachen/ros2-moge-trt
I also provide a docker images, so the node is ready to deploy in your robot!
I am able to run MogeV2 in real time with following performance on a Nvidia RTX 6000:
- VITS: 37 FPS
- VITB: 31 FPS
- VITL: 17 FPS
Best,
Till
Contributor guide
No contributing guide indexed for this repository
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 by reviewing the linked external repository, ros2-moge-trt, and its Docker images to understand the proposed ROS2 TensorRT integration. The issue names no MoGe repository files, tests, or acceptance criteria, so the intended change and definition of done would need to be established before work begins.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker
- Domain
- computer-vision, robotics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100