Poor Evaluation Results

[burgetrm]

I have executed python main.py --mode srgan and got results in

• train_10.png
• train_20.png ...
• train_100.png Images there seems relatively OK:

Than executed: python main.py --mode evaluate and got valid_gen.png file:

For this input image:

Has anyone experienced the same issue? What can be wrong with the model?

[zsdonghao]

please make sure your model is for the TL version you are using

update the model and code here: https://github.com/tensorlayer/srgan/releases

[wagamamaz]

My result is good, that should be something wrong with the library version or other

[burgetrm]

Resolved, problem was with read priviledges to resulting model.

[smiduthuri]

Hi burgetrm, Can you elaborate a bit more on how you resolved the problem? I've been facing the same issue during evaluation.

[burgetrm]

In my case there were read priviledges problem - check wheather the file already exist on the given path and you have read and write priviledges.

Radim

Dne čt 5. 7. 2018 19:59 uživatel Sai Parthasarathy Miduthuri < notifications@github.com> napsal:

Hi burgetrm, Can you elaborate a bit more on how you resolved the problem? I've been facing the same issue during evaluation.

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[smiduthuri]

Thank you. I realized that I was facing issues due to the user permissions on the shared system I am using.

[jeremy7710]

I have this issue too. And resolved. The reason is I didn't download the pre-trained model, I just download .npy file. You have to download .npz file.

link here. https://github.com/tensorlayer/srgan/releases/tag/1.2.0