Yolo-Fastest
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operating speed of Raspberry Pi
Hello, I am on 1660TiGPU in ubuntu16.04, yolofastest speed is 30 frames, and about 1 frame on Raspberry Pi. Is this normal?Looking forward to your reply, thank you.
I have tried yolo-fastest at RaspberryPi 4 (8GB) with opencv 4.4,and the result is about 7~8 fps.
I have tried yolo-fastest at RaspberryPi 4 (8GB) with opencv 4.4,and the result is about 7~8 fps.
OK,Thank you very much.
Hi @liuyijian can you please provide some information on what is the input resolution you had your model tested for in raspberry pi?
Hi @sudo-install-MW My input resolution to the model is 320*320, which is the default setting in yolo-fastest.cfg. I use function cv2.dnn.blobFromImage(...) to transform the original frame (1280*720) that capture from the camera, to 320*320 as model input. As I am not sure if I can change the default width and height paremeter in yolo-fastest.cfg, I make temporary practice like this. Hope to learn some practical trick from you.
I have tried yolo-fastest at RaspberryPi 4 (8GB) with opencv 4.4,and the result is about 7~8 fps.
兄弟,树莓派4上面执行ncnn_sample里面的指令,一直报错benchmark.h文件找不到,有遇到过吗
@jereter ncnn_sample里的前面几个include需要的文件在Tencent/NCNN仓库的src目录里,具体地址如下: https://github.com/Tencent/ncnn/tree/b93775a27273618501a15a235355738cda102a38/src