yolov5交通违章巡检

Yolov5交通违章巡检是一种利用Yolov5模型进行交通违章检测的方法。Yolov5是一种基于深度学习的目标检测算法，它能够高效地检测出图片或视频中的多个目标。在交通违章巡检中，Yolov5可以识别和检测出交通违章行为，比如闯红灯、逆行、违规停车等。通过结合FZ5和FZ9计算盒软硬一体方案，可以实现高效的交通违章巡检。这种方案具有体积小、质量轻、易携带、功耗低、价格低等优点，适用于视频监控场景的私有化、边缘化部署，例如交通巡检等场景。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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