tph-yolov5

TPH-YOLOv5是一种基于YOLOv5的目标检测算法。它是在Pytorch 1.8.1上实现的，并使用了NVIDIA RTX3090 GPU进行训练和测试。在训练阶段，TPH-YOLOv5使用了来自yolov5x预训练模型的一部分权重，因为它们共享了大部分的骨干和部分头部。通过使用这些权重，可以节省大量的训练时间。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [【tph-yolov5】使用tph-Yolov5训练自己的数据集](https://blog.csdn.net/zztjl/article/details/124087047)[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* [TPH-YOLOv5: （中文翻译）](https://blog.csdn.net/weixin_42182534/article/details/123479460)[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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