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liusai92 avatar liusai92 commented on June 19, 2024

I encounted this issue too, I checked the weights I trained, there are lots of nan in the scope of res3_5, Top-Down, RPN, Fast-RCNN, is it just a hyperparameter problem?
I also found that I didn't restore all weights in Resnet50.npy, especially batch-normalization layer's weights 'mean, variance', should them be restored to graph variables beta, gamma?

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imyhxy avatar imyhxy commented on June 19, 2024

The same problem here, which version of tensorflow you are using?

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rxqy avatar rxqy commented on June 19, 2024

there might some difference between these models
ie, maybe caffe pretrain model requires input normalization. while the origin one doesn't

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Alina-liu avatar Alina-liu commented on June 19, 2024

I used the tensorflow 1.0.1,does this version lead to the problem? @imyhxy

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imyhxy avatar imyhxy commented on June 19, 2024

@Alina-liu I am not sure, but I used the tensorflow 1.8.

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zhangtongton avatar zhangtongton commented on June 19, 2024

The same problem here, has it solved? thx @Alina-liu @imyhxy

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