yolov5 conv层
时间: 2023-10-12 15:06:45 浏览: 114
YOLOv5
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YOLOv5中的conv层是指使用了Convolutional Neural Networks(卷积神经网络)进行特征提取的层级。在YOLOv5的实现中,原始的骨干网络是CSPDarknet53,但通过引用中的方式将其替换为ConvNeXt,可以获得更好的性能。具体而言,通过将YOLOv5的yaml配置文件中的前3层conv改为dcnconv,可以实现这一替换。在这个修改后的配置中,使用了DCN(Deformable Convolution Network,可变形卷积网络)代替了普通的卷积操作。这样的修改可以参考中的代码示例。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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