YOLOv8部署瑞芯微RK3588板端c++源码(含使用说明).zip

上传者: deeplearning_ | 上传时间: 2025-05-06 11:48:23 | 文件大小: 33.48MB | 文件类型: ZIP
【资源说明】 YOLOv8部署瑞芯微RK3588板端c++源码(含使用说明).zipYOLOv8部署瑞芯微RK3588板端c++源码(含使用说明).zip ## 编译和运行 1)编译 ``` cd examples/rknn_yolov8_demo_open bash build-linux_RK3588.sh ``` 2)运行 ``` cd install/rknn_yolov8_demo_Linux ./rknn_yolov8_demo ``` 注意:修改模型、测试图像、保存图像的路径,修改文件为src下的main.cc ``` 测试效果 冒号“:”前的数子是coco的80类对应的类别,后面的浮点数是目标得分。(类别:得分) ![images](test_result.jpg) (注:图片来源coco128) 说明:推理测试预处理没有考虑等比率缩放,激活函数 SiLU 用 Relu 进行了替换。由于使用的是coco128的128张图片数据进行训练的,且迭代的次数不多,效果并不是很好,仅供测试流程用。换其他图片测试检测不到属于正常现象,最好选择coco128中的图像进行测试。 把板端模型推理和后处理时耗也附上,供参考,使用的芯片rk3588。 【备注】 1、该资源内项目代码都经过测试运行成功,功能ok的情况下才上传的,请放心下载使用! 2、本项目适合计算机相关专业(如计科、人工智能、通信工程、自动化、电子信息等)的在校学生、老师或者企业员工下载使用,也适合小白学习进阶,当然也可作为毕设项目、课程设计、作业、项目初期立项演示等。 3、如果基础还行,也可在此代码基础上进行修改,以实现其他功能,也可直接用于毕设、课设、作业等。 欢迎下载,沟通交流,互相学习,共同进步!

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