Integration of CenterPoseTrack (ICRA 2022) to isaac_ros_centerpose
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- cpp
- Domain
- computer-vision, machine-learning, robotics
Research direction
Start by reviewing the existing isaac_ros_centerpose package and the CenterPoseTrack project linked in the issue, then identify how tracking would fit into the current inference flow. Done means CenterPoseTrack is integrated and consecutive-frame CenterPose results have improved consistency, with appropriate validation of the inference behavior.
Written by the indexing model from the issue text.
Description
Since centerpose inference results have inconsistencies frame to frame (even for consecutive frames), could you please integrate CenterPoseTrack project (also from NVIDIA) published in ICRA 2022 to isaac_ros_centerpose?
Currently, isaac_ros_foundationpose also comes with two versions with and without tracking. As showcased in CenterPoseTrack webpage, integration of tracking could clearly increase the inference performance.
- Dominant language
- C++
- Stars
- 515
- Forks
- 57
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing 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.
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NVIDIA-ISAAC-ROS/isaac_ros_pose_estimation#98 · 2 comments · 2 assignees ·
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Not getting the same result as offline foundationposeMay be free again @yuanknv claimed this 171 days ago, and no pull request is open. Opencoming soon!
NVIDIA-ISAAC-ROS/isaac_ros_pose_estimation#95 · 8 comments · 1 assignee ·
All issues in NVIDIA-ISAAC-ROS/isaac_ros_pose_estimation
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