yolov7 的正负样本分配

yolov7的正负样本分配策略是结合了yolov5和YOLOX的方法。具体来说，yolov7采用了anchor base的目标检测算法，并且借鉴了yolov5和YOLOX的正负样本分配策略。在正样本分配方面，yolov7利用了yolov5的方法，通过计算真实框与先验框的IoU值来确定哪些先验框与目标匹配。而在负样本分配方面，yolov7则借鉴了YOLOX的方法，采用了难负样本挖掘的思想，将与目标IoU值较大的先验框也标记为负样本。这种综合的正负样本分配策略使得yolov7在目标检测任务中具有更好的性能和准确性。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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