dimensionalOS / dimensionalOS/dimos
Visual Nav Booster Dataset
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- Dominant language
- Python
- Stars
- 4.5k
- Forks
- 808
- Avg merge
- 3d 5h
- Merged PRs (30d)
- 233
Description
One clean office loop-back recording usable for stereo-nav / VSLAM evaluation.
Route
Walk from one end of the office to the other, keeping AprilTags in view along the way. Loop back such that every tag is seen twice.
Capture:
- Booster Odometry
- Every RealSense stream, all at full rate (no dropped or downsample)
Synced from DIM-1543 by jeff
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
No files or tests are named. Start by reviewing DIM-1543 and the route and capture checklist; done means one clean office loop-back recording with every AprilTag seen twice, Booster Odometry captured, and all RealSense streams recorded at full rate without drops or downsampling.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, robotics
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100