Tracking deformable manipulation
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- computer-vision, machine-learning
- Domain
- computer-vision
Research direction
Start with TAPnext++ and reproduce the reported failure on a long deformable-manipulation video involving folding a towel and wiping a table. Compare the tracked point positions through those actions; the issue does not identify files, tests, or a defined fix, so done is not yet specified beyond understanding or resolving the tracking failure.
Written by the indexing model from the issue text.
Description
Thanks for your great work!
I found when using TAPnext++ to track deformable manipulation video, especially a long video, it performs not well.
For example, when folding a towel and then wipe the table, a lot of points on the towel are tracked to wrong positions.
If you have any insight on this, please let me know
- Dominant language
- Jupyter Notebook
- Stars
- 2.2k
- Forks
- 215
- 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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