Table 8 Time inference comparison
From: Multiclass objects detection algorithm using DarkNet-53 and DenseNet for intelligent vehicles
Method | Environment | Runtime (1/FPS) ( s) |
|---|---|---|
Faster R-CNN [14] | GPU @ 3.5 Ghz (Python + C/C + +) | 0.23 |
YOLOv3 [9] | GPU @ 2.5 Ghz (Python) | 0.027 |
YOLOv5X6 | GPU @ 3.5 Ghz (Python) | 0.05 |
Stereo R-CNN [44] | GPU @ 2.5 Ghz (Python) | 0.3 |
3DOP [45] | GPU @ 2.5 Ghz (Matlab + C/C + +) | 3 |
MV3D [46] | GPU @ 2.5 Ghz (Python + C/C + +) | 0.24 |
F-PointNet [47] | GPU @ 3.0 Ghz (Python) | 0.17 |
Ours | GPU @ 2.5 Ghz (Python) | 0.029 |