YOLOV7-TINY

YOLOv7-Tiny是一种高效的轻量级目标检测算法，专为计算资源有限的设备设计。它在YOLOv7的基础上采用了更紧凑的网络架构和优化的训练策略，通过降低模型参数和计算量，成功实现了在嵌入式设备和移动端的实时运行。尽管模型轻量化，但YOLOv7-Tiny仍保持了良好的目标检测性能。它为各种计算受限场景提供了实时目标检测的解决方案，拓宽了计算机视觉在实际应用中的广度。\[1\] 如果你想了解更多关于YOLOv7-Tiny的信息，你可以参考meituan/YOLOv6和WongKinYiu/yolov7这两个GitHub链接。\[2\]\[3\]
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- *1* [013 基于YOLOv7-Tiny的目标检测系统](https://blog.csdn.net/2201_75291175/article/details/131048699)[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^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* *3* [yolov7各个模型的网络结构图(最详细)](https://blog.csdn.net/zhangdaoliang1/article/details/125731979)[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^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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