yolov5 nms非极大值抑制

YOLOv5中的NMS（非极大值抑制）是为了在多类别的情况下独立执行NMS。具体的处理策略是为每个类别的边界框添加一个偏移量，这个偏移量仅取决于类别的索引，并且足够大，以确保不同类别之间的边界框不会重叠。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* [目标检测 YOLOv5 - 在多类别中应用NMS（非极大值抑制）](https://blog.csdn.net/flyfish1986/article/details/119177472)[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^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [Pytorch机器学习（八）—— YOLOV5中NMS非极大值抑制与DIOU-NMS等改进](https://blog.csdn.net/lzzzzzzm/article/details/120151155)[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^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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