Python · MIT
maudzung/SFA3D
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
★ 1.1k
Stars
278 forks · 23 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
10.0
Momentum / 100
see the breakdown below
6y ago
Created
last push 3y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 3y ago; decays to zero at 180 days |
| Scale | 15 | 8.9 | 1.1k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 10.0 | sum of the above |
Detail
| Topics | 3d-object-detectionbevmapcenterfast-detectionkitti-datasetlidar-point-cloudreal-timerosrtm3d |
| Matched on | ROS2 (ros) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 0.50 stars/day over 2,264 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |