tensorflow / tensorflow/graphics
Partnet segmentation experiments
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Description
Hi, now I'm trying to evaluate the segmentation performance with PartNet as Figure 11 in the paper.
However, I'm confused about the details. for example, how to calculate the "accuracy" of the points? is it depends on the labels from BAE?
When I downloaded the PartNet dataset, there are no labels like back, arm, base, seat, etc...
Could you explain how to get the numbers? or could you upload experience code for the PartNet?
Thank you for reading! I'm looking forward to your kind answer.
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 Figure 11 and the PartNet dataset used for the segmentation experiments, then determine how the reported point accuracy relates to the BAE labels and part names such as back, arm, base, and seat. Done means documenting the evaluation procedure or providing the requested PartNet experiment code.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100