NVIDIA-ISAAC-ROS / NVIDIA-ISAAC-ROS/isaac_ros_pose_estimation
Output unstable
Open
@jaiveersinghNV is already working on this.
Since Jan 30, 2023.
bug
- Dominant language
- C++
- Stars
- 501
- Forks
- 57
- PR merge metrics
- No merged PRs in 30d
Description
I trained DOPE for a custom object and have the problem of the estimated poses being jumpy and unstable, also often detecting objects that aren't there.
The original implementation of DOPE had a few parameters that helped stabilize this
# Config params for DOPE
thresh_angle: 0.5
thresh_map: 0.01
sigma: 3
thresh_points: 0.1
However I can't find anything like this in the ROS2 implementation, could you please provide me with some instructions or information on how to approach this problem?
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.
Assessment
This issue has not been assessed yet.