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Unable to reproduce the standard saliency map. #30

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YenchungChen opened this issue Jan 26, 2018 · 2 comments
Open

Unable to reproduce the standard saliency map. #30

YenchungChen opened this issue Jan 26, 2018 · 2 comments

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@YenchungChen
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Hi @junting,

I'm super interesting in SalGAN, so here I am.

I've tried to run the model with provided VGG-16 weights, and pertained generator and discriminator which are provided in your Github repo, really appreciate your work.

While running (03-predict.py) with the setting above, following is the result I've received:

Use this picture as the input of SalGAN
i112_original

I get the result
i112

which is slightly different from the result I expected according to the website
i1123

​I'm wondering if there's some mistake with my operation, or shall I do some training on the provided weights in order to get the expected results ?
Hope you could give me some assistance.
Nice work for the SalGAN again.

Cheers,

@YenchungChen YenchungChen changed the title Unable to reproduce the same saliency map. Unable to reproduce the standard saliency map. Jan 26, 2018
@pascalxia
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I obtained the same result as @YenchungChen . I made a Docker image for people to replicate it easily. The Docker image is blindgrandpa/theano_cudnn5.1. It uses CUDA 8.0 + cuDNN 5.1.10 + Theano 0.9.0 + Lasagne 0.2.dev1.

@iriszxcy
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I got the same result as @YenchungChen and @pascalxia, any ideas?
i112sa

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3 participants