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使用官方模型测试,控制台打印信息为 YOLOv10n summary (fused): 285 layers, 2762608 parameters, 63840 gradients, 8.6 GFLOPs
与表中提供的 #Param.(M): 2.3 FLOPs(G): 6.7 不一致。
其他规格也有此类问题。
The text was updated successfully, but these errors were encountered:
很奇怪,迁移学习的时候,明明是一个模型,但是Transfer的layer数目总是少了12层
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使用官方模型测试,控制台打印信息为

YOLOv10n summary (fused): 285 layers, 2762608 parameters, 63840 gradients, 8.6 GFLOPs
与表中提供的

#Param.(M): 2.3 FLOPs(G): 6.7
不一致。
其他规格也有此类问题。
The text was updated successfully, but these errors were encountered: