tensorflow / tensorflow/graphics
Farthest point sampling algorithm to implement PointNet++
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- Dominant language
- Python
- Stars
- 2.8k
- Forks
- 374
- PR merge metrics
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Description
Thanks for open-sourcing a TensorFlow package to implement 3D graphics neural layers. I was trying to implement PointNet++ using the existing API and noticed that a sampling algorithm is missing. To be specific, the implementation of PointNet++ requires a version called farthest point sampling. Is there a plan for such an algorithm to be implemented in the future or are contributions welcome for it?
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
Review the existing API and the PointNet++ reference linked in the issue to determine the expected farthest-point-sampling behavior. Done means the missing sampling algorithm is available through the package's existing API; the issue names no source file or test, so locate those before coding.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- computer-graphics, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100