Need dataloader for geometry-pose paired training data
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue does not name a file, test, entry point, data format, or existing dataset loader. First clarify how ground-truth poses and geometric data should be represented and paired; done would mean a robust dataloader that constructs those training pairs, with coverage for the agreed data cases.
Written by the indexing model from the issue text.
Description
Congratulations to the SAM-3D team for winning the CVPR Best Paper Honorable Mention! This is truly an outstanding work, and I’ve been closely following your research recently.
However, I’ve run into difficulties constructing the ground-truth poses, which has become a major roadblock for me. Could you please share a robust dataloader to help build training datasets that pair geometric data with object poses?
Best regards
- Dominant language
- Python
- Stars
- 7.5k
- Forks
- 892
- PR merge metrics
- No merged PRs in 30d
Getting set up
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