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Kevinnan-teen / Intelligent-Traffic-Based-On-CV

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．
http://kevinnan.org.cn/
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启动服务端有错误 #9

Open tingyukanfeng opened 11 months ago

tingyukanfeng commented 11 months ago

TypeError: can't pickle _thread.lock objects

jiaqingxiang111 commented 9 months ago

Traceback (most recent call last): File "C:/programSoftware/Python/cattleRecognition/yolo-slowfast/IntelligentTraffic/scripts_2/server_selector2.py", line 288, in sa = ServerAchieve() File "C:/programSoftware/Python/cattleRecognition/yolo-slowfast/IntelligentTraffic/scripts_2/server_selector2.py", line 54, in init process.start() File "D:\anzbao-biancheng\anaconda\anzhuangbao\envs\car\lib\multiprocessing\process.py", line 105, in start self._popen = self._Popen(self) File "D:\anzbao-biancheng\anaconda\anzhuangbao\envs\car\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "D:\anzbao-biancheng\anaconda\anzhuangbao\envs\car\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "D:\anzbao-biancheng\anaconda\anzhuangbao\envs\car\lib\multiprocessing\popen_spawn_win32.py", line 65, in init reduction.dump(process_obj, to_child) File "D:\anzbao-biancheng\anaconda\anzhuangbao\envs\car\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) TypeError: can't pickle _thread.lock objects

Process finished with exit code 1 We have encountered the same problem. Have you solved it yet? I haven't solved this problem yet? 咱俩遇到同一个问题了，请问您解决了吗，我目前还没解决掉这个问题？