yolov8 windows

YOLOv8是一种用于实时目标检测的深度学习模型。在Windows环境下使用YOLOv8，首先需要安装Python环境。可以参考中提供的链接来进行安装。接下来，需要获取YOLOv8的ONNX文件。可以在中提到的文件中找到例如yolov8n.trt、yolov8s.trt、yolov8m.trt等文件。确保将coco.names文件移动到yolov8_openvino文件夹下，并在models文件夹中放置YOLOv8的ONNX文件和OpenVINO模型。这样就完成了准备工作。之后，可以加载YOLOv8的OpenVINO模型来实现实时目标检测。详细的步骤和代码可以参考中提到的内容。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [部署实战 | 手把手教你在Windows下用TensorRT部署YOLOv8](https://blog.csdn.net/CV_Autobot/article/details/129002357)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *3* [【YOLOv8】实战二：YOLOv8 OpenVINO2022版 windows部署实战](https://blog.csdn.net/virobotics/article/details/130412986)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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