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cityscapes pidnet-s 对应两个权重,val.pt和test.pt,请问两个权重是如何训练的?猜测val.pt是用train做训练集,val做验证集,test是train+val做训练集,val做测试集。另外,评估时,是不是都是用val进行评估的?目前用val做测试集,val.pt的mIoU为78.76%,test.pt是86.96%(比官方的77.8高了很多),是否正常?
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你好,我想问一下,你在使用官方给的权重测试时遇到这个问题了吗,我不知道该怎么解决了,期待你的回复:
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请问两个权重的问题你解决了吗
这是因为模型的权重参数包含在“state_dict”字典内,在读取时加上['state_dict']就可以正常读取了,torch.load(cfg.MODEL.PRETRAINED['state_dict'])
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cityscapes pidnet-s 对应两个权重,val.pt和test.pt,请问两个权重是如何训练的?猜测val.pt是用train做训练集,val做验证集,test是train+val做训练集,val做测试集。另外,评估时,是不是都是用val进行评估的?目前用val做测试集,val.pt的mIoU为78.76%,test.pt是86.96%(比官方的77.8高了很多),是否正常?
The text was updated successfully, but these errors were encountered: