:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
Thank you for releasing Yolo-Fastest! It is indeed the fastest model I have used on Raspberry pi.
However, my running time is about 100ms at 2 threads and more than 100ms at 4 threads. I checked the CPU usage(60% percent at most) and memory usage(below 30%), both of which are low.
I wonder what else I can do with the Raspberry pi 4 to reach 33ms with yolo-fastest.
Thanks a lot!
Thank you for releasing Yolo-Fastest! It is indeed the fastest model I have used on Raspberry pi. However, my running time is about 100ms at 2 threads and more than 100ms at 4 threads. I checked the CPU usage(60% percent at most) and memory usage(below 30%), both of which are low. I wonder what else I can do with the Raspberry pi 4 to reach 33ms with yolo-fastest. Thanks a lot!