Feature extraction for point clouds
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- Dominant language
- Cuda
- Stars
- 298
- Forks
- 26
- Avg merge
- 22h 44m
- Merged PRs (30d)
- 1
Description
Hi, thanks for your great work. I am trying to use your Swin3D as a frozen feature extractor for new 3D point clouds, like how people use CLIP/DINOv2 for images.
Could you share some simple scripts or ideas about how we can achieve this with your codebase? This can be very helpful.
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. Start by reading the Swin3D codebase and its existing model usage to determine how inference currently works for point clouds. Done would require an agreed approach and simple scripts for using Swin3D as a frozen feature extractor.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100