lllyasviel / lllyasviel/ControlNet
Plans for an openpose model including hand pose data?
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- Dominant language
- Python
- Stars
- 34.1k
- Forks
- 3k
- PR merge metrics
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Description
Are you guys planning on eventually training an openpose model, including handpose data?
https://github.com/Hzzone/pytorch-openpose#hand-pose-estimation
I feel like if we had the openpose model usable with hand data then stable diffusion will finally be able to consistently reproduce hands/fingers.
I'm assuming the biggest hurdle will be obtaining enough annotated data to produce such a model in the first place though.
Contributor guide
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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
No files, tests, or entry points are named. The issue asks about a future hand-pose model and its annotated-data requirements, so a contributor would first need a maintainer to define the desired scope, training approach, and acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100