先看精度效果:
Yolo-Fastest-1.1 Pedestrian detection
Equipment | System | Framework | Run time |
---|---|---|---|
Raspberrypi 3B | Linux(arm64) | ncnn |
62ms |
Network | COCO mAP(0.5) | Resolution | Run Time(Ncnn 4xCore) | Run Time(Ncnn 1xCore) | FLOPS | Params | Weight size |
---|---|---|---|---|---|---|---|
Yolo-Fastest-1.1 | 24.40 % | 320X320 | 5.59 ms | 7.52 ms | 0.252BFlops | 0.35M | 1.4M |
Yolo-Fastest-1.1-xl | 34.33 % | 320X320 | 9.27ms | 15.72ms | 0.725BFlo |
版权声明:本文为CSDN博主「AI视觉网奇」的原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接及本声明。
原文链接:https://blog.csdn.net/jacke121/article/details/118072099
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