Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
baixb f684915f4a | 2 years ago | |
---|---|---|
.ipynb_checkpoints | 2 years ago | |
vehicle_speed_estimation | 2 years ago | |
readme.md | 2 years ago |
实现了监控视频数据中的车辆的检测跟踪问题,提取出了车辆轨迹并分析其像素移动速度,通过计算相应的参数将像素移动速度映射到3D真实世界的车辆移动速度
使用云脑的2张GPU进行训练,最终得到了速度检测结果,中间的跟踪数据准确率很高,基于Mask-Rcnn的检测框架为MOT提供了很好的基础,速度检测结果目前无法得到验证
车辆检测和跟踪使用检测率rate,速度估计使用RMSE(Root Mean Square Error)
使用了NVIDIA AI City challenge 2018 Track1的数据集
请查看/doc/部署文档
代码的输入与输出。如下所示:
名称 | 说明 |
---|---|
输入 | mp4视频数据,为监控视频拍摄的车流数据 |
输出 | 速度估计csv和avi文件 |
在terminal下运行以下命令。
cd project_dir/src
<<<<<<< HEAD
python main.py --input Traffic-Monitoring.mp4 --output result.avi --yolo ./yolo
=======
python test.py --input Traffic-Monitoring.mp4 --output result.avi --yolo ./yolo
>>>>>>> 2bb29334f1d56cb65874fba88cb4acbd0b984146
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》