Zhu-QingWen/Lightweight-Traffic-Sign-Recognition
旨在探索深度学习模型在嵌入式或PC端的实际应用。该项目将一个开源的轻量化物体检测模型（YOLOv5s）成功部署于本地，并开发应用以实现对交通标志的实时识别。
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