yolov7图像分割模型

根据引用和引用的内容，YOLOv7在其v7.0版本中加入了对图像实例分割的全面支持。这意味着YOLOv7可以通过实例分割模型来将图像中的不同实例进行分割和标记。具体来说，在推理阶段，YOLOv7会直接基于分割的结果计算得到检测框。此外，引用提到，YOLOv7的实例分割代码存放在名为"mask"的分支上，并且还在不断完善中。如果您想获取YOLOv7的图像分割模型，您可以从GitHub上下载最新的代码。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [YOLOv7实例分割](https://blog.csdn.net/djstavaV/article/details/126357677)[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^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
- *2* [基于yolov5-v7.0开发构建裸土实例分割检测识别模型](https://blog.csdn.net/Together_CZ/article/details/128578175)[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^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
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