YOLOP-opencv-dnn
使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。
Deploy a system that detects objects, identifies drivable areas, and recognizes lane markings in driving scenarios using OpenCV.
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Free · no card · unsubscribe anytime使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。
YOLOP-opencv-dnn has 312 stars on GitHub. It has been forked 65 times. YOLOP-opencv-dnn is written mainly in Python. It has been in active development since 2021. Its main topics are autonomous-driving, drivable-area-segmentation, lane-lines-detection, object-detection.
What is YOLOP-opencv-dnn?
使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。
Is YOLOP-opencv-dnn open source?
YOLOP-opencv-dnn is an open-source project.
Is YOLOP-opencv-dnn free?
Yes. YOLOP-opencv-dnn is free and open source — you can use, modify and self-host it.
What language is YOLOP-opencv-dnn written in?
YOLOP-opencv-dnn is written mainly in Python.
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