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瑞芯微芯片的rknn推理框架部署(yolo模型)

Home Page: https://blog.csdn.net/oYangShanJin/article/details/135151394

CMake 0.55% Shell 0.16% C 67.97% C++ 31.33%
rk3588 rknn yolov5

quickrun's Introduction

quickrun

rknn model export

参考: https://is5gnzipbc.feishu.cn/wiki/X4eGwni4YiyuUUkIrEUcYkxunHe

quick start

compile

bash build_rk3588_yolov5.sh

test

bash test_rk3588_yolov5.sh

quickrun deploy

modify need by your project

#define OBJ_NAME_MAX_SIZE 16  
#define OBJ_NUMB_MAX_SIZE 64  
#define OBJ_CLASS_NUM 1      
#define NMS_THRESH 0.25       
#define BOX_THRESH 0.5 

license

MIT by Jim

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