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本项目是基于计算机视觉的端到端交通路口智能监控系统.采用的设计架构由SRS流媒体服务器、GPU服务器、Local客户端三部分组成.可将远端视频流通过rtmp协议传输到流媒体服务器,然后经过目标检测等一些列算法对视频进行分析,最后在本地客户端查看分析结果.项目主要用Python实现,流媒体服务器采用开源的SRS实时视频服务器搭建,GPU服务器使用YOLO模型实现道路目标如人、车、交通灯等物体的识别,同时还支持并发连接.客户端基于PyQt5进行开发.

Home Page: http://kevinnan.org.cn/

Python 100.00%

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