FPS of SLAM System
Hi @yanyan-li , thank you for your excellent work and open-source code.
I successfully ran the code on an A100 GPU (40G) in rgbd_dataset_freiburg3_sitting_xyz, but the FPS was low (process approximately 660 frames in 5 hours). I suspect I may have made a mistake somewhere, so I would like to ask if this is the normal processing speed?
Thank you so much and best wishes!!!
Hi @ShunkaiZhou , thanks for your interest and glad to hear you got the code running successfully!
Yes, the training speed is indeed still an open challenge in this domain. The main bottleneck comes from training the transformation field online, which is computationally expensive. This step is essential for handling dynamic scenes, but it does introduce noticeable overhead compared to purely static mapping approaches. The following performance analysis tested on the BONN sync sequence.
| Modules | RoDyn-SLAM | SplaTAM | MonoGS | DG-SLAM | Ours | Modules | SC-GS | Ours |
|---|---|---|---|---|---|---|---|---|
| Static Tracking | Dynamic Mapping | |||||||
| Track. Iter. [ms] | 15.7 | 6.5 | 10.0 | 6.5 | 5.6 | Map. Iter. [s] | 0.3 | 0.5 |
| Track. Frame [ms] | 314 | 1300 | 82 | 54 | 283 | Total Time [h] | 4.9 | 2.8 |
I understand. Thank you for your reply!!!