yolov8+ncnn

Yolov8 ncnn是一种基于ncnn框架的目标检测模型，用于在移动设备上进行物体检测。根据引用提供的信息，ncnn支持在相机上部署Yolov8 ncnn模型，同时还支持其他目标检测模型，例如YOLOv5s，YOLOv4-tiny等。ncnn框架在iOS上可以使用Xcode进行部署，同时可以通过在代码中更改输出名称来获取检测结果。根据引用提供的代码示例，可以通过提取"output0"和"output1"来获得检测结果和掩码信息。<span class="em">1</span><span class="em">2</span>
#### 引用[.reference_title]
- *1* [YOLOv5_NCNN:NC在手机上部署NCNN。支持Android和iOS。移动端NCNN部署，支持Android与iOS](https://download.csdn.net/download/weixin_42181319/15886728)[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_1"}}] [.reference_item style="max-width: 50%"]
- *2* [Using Yolov8 segment ncnn model on Ubuntu18.04](https://blog.csdn.net/tianzhaixing/article/details/128913796)[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_1"}}] [.reference_item style="max-width: 50%"]
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