fps result

[Yunge6666]

[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 81/81, 5.4 task/s, elapsed: 15s, ETA: 0sStep1 Done.
Start to convert detection format...
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 81/81, 86.0 task/s, elapsed: 1s, ETA: 0s
Results writes to /tmp/tmpwb0m71nk/results/results_nusc.json
mAP: 0.5716
mATE: 0.4096
mASE: 0.4423
mAOE: 0.4780
mAVE: 0.4115
mAAE: 0.3107
NDS: 0.5806
Eval time: 1.2s

Per-class results:
Object Class AP ATE ASE AOE AVE AAE
car 0.925 0.170 0.156 0.101 0.119 0.070
truck 0.804 0.157 0.127 0.068 0.071 0.000
bus 0.994 0.173 0.076 0.021 0.556 0.302
trailer 0.000 1.000 1.000 1.000 1.000 1.000
construction_vehicle 0.000 1.000 1.000 1.000 1.000 1.000
pedestrian 0.933 0.125 0.254 0.331 0.215 0.114
motorcycle 0.736 0.191 0.257 0.400 0.053 0.000
bicycle 0.589 0.198 0.227 0.381 0.278 0.000
traffic_cone 0.734 0.082 0.325 nan nan nan
barrier 0.000 1.000 1.000 1.000 nan nan

This is the result I got, but I don't understand how fps is calculated? What do the task/s and eval time here represent respectively? Could anyone please explain it, I would be very grateful.

[hopef]

fps is computed by CUDA-BEVFusion on ORIN.

[Yunge6666]

fps is computed by CUDA-BEVFusion on ORIN.

Do you provide any code to calculate FPS in the CUDA-BEVfusion? In addition, do you understand what task/s and eval time are in my results above?

[hopef]

https://github.com/NVIDIA-AI-IOT/Lidar_AI_Solution/blob/a8461f0a024477dbcf8746a3ea8a0f5e3aa14540/CUDA-BEVFusion/src/main.cpp#L258C6-L258C6