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https://github.com/hpc203/yolopv2-opencv-onnxrun-cpp-py
分别使用OpenCV、ONNXRuntime部署YOLOPV2目标检测+可驾驶区域分割+车道线分割,一共包含54个onnx模型,依然是包含C++和Python两个版本的程序。仅仅只依赖OpenCV就能运行,彻底摆脱对任何深度学习框架的依赖。
autonomous-driving cpp drivable-area-segmentation lane-lines-detection object-detection onnxruntime opencv-dnn python yolopv2
Last synced: 01 Jul 2024
![](https://github.com/hpc203.png)
https://github.com/hpc203/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。
autonomous-driving drivable-area-segmentation lane-lines-detection object-detection opencv opencv-dnn yolop
Last synced: 15 Jun 2024
![](https://github.com/hpc203.png)
https://github.com/hustvl/YOLOP
You Only Look Once for Panopitic Driving Perception.(MIR2022)
autonomous-driving drivable-area-segmentation jetson-tx2 lane-detection multitask-learning object-detection
Last synced: 15 Jun 2024
![](https://github.com/hustvl.png)