Robbyant / Robbyant/lingbot-map
inference problem on kitti
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 17.1k
- Forks
- 1.9k
- PR merge metrics
- No merged PRs in 30d
Description
thanks for your contribution !
I run the demo script on KITTI sequence using default fix interval keyframe and streaming mode.
I wonder why global rotation is not bad， but translation is jumping more and more.
Could it be because the sequence is too long?
(after input downsample by stride=5，imgs num= 500+，original imgs num=2700+)
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 reproducing the demo script on the KITTI sequence in streaming mode with the default fix-interval keyframe setting and stride=5. Compare global rotation and translation over the run, then inspect the inference path for sequence-length or keyframe-related drift. Done means identifying whether the long or downsampled sequence causes the translation jumps and documenting a reproducible cause.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100