yolov7-tiny显示FLOPs

根据引用\[1\]中提到的信息，yolov7-tiny中的FLOPs是指在被stride为2的卷积下采样后，被Concat整合前的这四个连续卷积层的浮点运算次数。然而，具体的FLOPs数值没有在引用中给出。如果你需要了解yolov7-tiny的FLOPs数值，建议查阅相关的资料或者参考引用\[3\]中提到的原始yolov7-tiny的参数量和FLOPs数值，然后根据比例计算出yolov7-tiny显示FLOPs的数值。
#### 引用[.reference_title]
- *1* *3* [关于Yolov7-tiny模型瘦身（param、FLOPs）碎碎念](https://blog.csdn.net/yjcccccc/article/details/128329579)[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^v91^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [yolov3-tiny 网络结构](https://blog.csdn.net/juluwangriyue/article/details/109543317)[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^v91^insert_down28v1,239^v3^insert_chatgpt"}} ] [.reference_item]
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