This project forked from guojin-yan/yolodeploycsharp
Deploying Yolov8-det, Yolov8-pose, Yolov8-cls, and Yolov8-seg models based on C # programming language.
License: Apache License 2.0
由Ultralytics开发的Ultralytics YOLOv8是一种尖端的，最先进的（SOTA）模型，它建立在以前的YOLO版本成功的基础上，并引入了新功能和改进，以进一步提高性能和灵活性。YOLOv8 设计为快速、准确且易于使用，使其成为各种对象检测、图像分割和图像分类任务的绝佳选择。
YOLOv8是YOLO系列目标检测算法的最新版本，相比于之前的版本，YOLOv8具有更快的推理速度、更高的精度、更加易于训练和调整、更广泛的硬件支持以及原生支持自定义数据集等优势。这些优势使得YOLOv8成为了目前业界最流行和成功的目标检测算法之一。
下图展示了搭建的WinForm模型部署平台，该模型部署平台支持多种推理方式与多种Yolov8模型。
关于模型部署的更多细节文档，请参考以下文档：
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