Real data temporal inconsistent
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 68
- Forks
- 8
- Avg merge
- 2h 25m
- Merged PRs (30d)
- 1
Description
Hello, thank you for the excellent open-source work. I applied the temporal model to infer my real-world data videos, and I think the authenticity is acceptable, but there is significant jitter in the temporal aspect, affecting the visual perception. Is there any solution for this? @tabo @hartsock @aflat @rabblerooster @ajschmidt8
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 by locating the temporal model and inference entry point used for real-world data videos, then reproduce the reported jitter with a comparable video. Done means identifying a reproducible cause and confirming that temporal output is visually consistent without reducing the stated authenticity.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100