yolov7各个模型结构图
时间: 2023-09-25 08:12:39 浏览: 118
YOLOv7是在YOLOv5的基础上进行改进的,主要引入了E-ELAN和MPConv结构。YOLOv5算法本身已经进行了优化改进,并且具有较好的性能。不过,关于YOLOv7各个模型结构的图,我目前无法提供。对于YOLOx的Neck结构,它仍然采用了YOLOv3的设计,但加入了SPP模块。根据这些信息,我们可以了解到YOLOv7在YOLOv5的基础上进行了结构上的改进,同时YOLOx的结构延续了YOLOv3的设计。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [YOLOv1-7全系列模型大合集,学习记录和思考](https://blog.csdn.net/qq_53250079/article/details/127545046)[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* [Yolov5结构图展示清晰易懂](https://download.csdn.net/download/weixin_39588099/88156407)[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%"]
[ .reference_list ]
阅读全文