tensorflow / tensorflow/datasets
[GSOC] Pix3D dataset implementation
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- Dominant language
- Python
- Stars
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- Merged PRs (30d)
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Description
I was successfully able to partially create a new dataset for Pix3D, link to commit Pix3D contains images, masks and models. I was able to create the split generator for images and masks since they both can be treated as Image features. However, currently there are no implementations for 3D Models as features. I would like to get some guidance on how to proceed about it, perhaps could I start by creating custom features for mesh comprising of edges and vertices ?
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 reviewing the linked commit and the existing image and mask split-generator work described in the issue. Then clarify with maintainers how 3D models should be represented as dataset features, including whether mesh edges and vertices are appropriate; done means an agreed feature design and a complete Pix3D dataset implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100