paddleocr yolov5

YOLOv5是一个基于YOLO系列的目标检测算法，已经提出并创新了6到7年。关于YOLO的原理和实现，可以参考一些相关文章，比如《写给小白的YOLO 目标检测|YOLO原理与实现》和《YOLO-YOLOV5算法原理及网络结构整理》。此外，关于模型转换和错误记录，可以参考作者的另一篇博客《YOLOV5模型转换》。根据作者提供的运行环境，主要使用的是CUDA 11.4、torch 1.9、paddle-gpu 2.2.2和tensorrt 8.2.0.6进行开发和测试。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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