You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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
I get the result
which is slightly different from the result I expected according to the website
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,
The text was updated successfully, but these errors were encountered:
YenchungChen
changed the title
Unable to reproduce the same saliency map.
Unable to reproduce the standard saliency map.
Jan 26, 2018
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.
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
I get the result
which is slightly different from the result I expected according to the website
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,
The text was updated successfully, but these errors were encountered: