多摄像机实时对象跟踪：使用YOLO v4，Deep SORT和Flask进行多摄像机实时流量和对象计数-源码
多摄像机实时对象跟踪
该存储库包含我的对象检测和跟踪项目。 所有这些都可以托管在云服务器上。
由于您还可以将自己的IP摄像机用于异步处理。 我已经写了关于如何使用自己的智能手机与ImageZMQ到流博客文章。
Deep SORT和YOLO v4
查看我的以查看我使用的跟踪算法，其中包括Tensorflow 2.0，异步视频处理和低置信度跟踪过滤的选项。
流量计数（）
该项目是对象计数应用程序的扩展。
（）
产品特点
使用从DETRAC数据集生成的总共244,617张图像进行了训练。 您可以在找到我创建的转换代码。 我将用作数据准备和培训的指南。
每个跟踪ID仅计数一次。
通过查看被跟
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明