yolov5模型网页部署

上传者: qq122716072 | 上传时间: 2025-05-13 05:25:43 | 文件大小: 12.96MB | 文件类型: GZ
内容概要:yolov5火焰识别模型完整项目,采用C/S结构。项目分为前端代码,用vue编写;后端代码,用python编写,做成api接口。灵活性大,与模型解耦合,后续可以放自己训练好的模型,不再修改代码或者少量修改代码。 源代码:yolov5模型部署到web端,文档齐全,包含如何安装环境,如何运行项目,如何使用。 适合人群:学生、具备一定编程基础,工作1-3年的研发人员、想入门人工智能的爱好者、科研人员 能学到什么:可以快速出效果。 阅读建议:详情请查看文章介绍:https://blog.csdn.net/qq122716072/article/details/125503254

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