facebookresearch / facebookresearch/localrf
Generating a Longer Road Point Cloud from Multiple Frames
- Dominant language
- Python
- Stars
- 978
- Forks
- 60
- PR merge metrics
- No merged PRs in 30d
Description
After running it, I got the results, including the depth map, RGB map, and transforms.json. I can extract the point cloud for each frame. How can I generate a longer road point cloud? Should I align all the point clouds?
Appreciate.
Contributor guide
Research direction
Start by reviewing the generated depth map, RGB map, and transforms.json for one frame, then compare the per-frame point-cloud extraction process across the video. Determine whether the existing outputs provide enough information to align frames into a longer road point cloud. Done would require a documented, reproducible multi-frame reconstruction approach, but the issue names no files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- 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