yolov7改进c2f

引用提到，C2f模块来自YOLOv8系列，本质上改进借鉴了YOLOv7核心模块的思想，所以可以说C2f模块是对YOLOv7的一种改进。引用中提到了一篇原论文，其中使用了GSconv和VoVGSCSP模块来改进了YOLOv5/7/8，并且对小目标检测有明显的提升效果。另外，引用中给出了一个运行配置的示例，展示了如何使用C2f模块进行训练。所以，通过使用C2f模块，可以对YOLOv7进行改进，提高小目标检测的效果。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [改进YOLOv7系列：结合丰富的梯度流信息模块，来自YOLOv8的核心模块](https://blog.csdn.net/qq_38668236/article/details/128693876)[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* [GSconv和VoVGSCSP代码，用于嵌入改进yolov5/7/8](https://download.csdn.net/download/m0_61735576/87658586)[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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