Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Not able to reproduce the results #50

Closed
tj198505 opened this issue Oct 12, 2018 · 7 comments
Closed

Not able to reproduce the results #50

tj198505 opened this issue Oct 12, 2018 · 7 comments

Comments

@tj198505
Copy link

Hi,

With all default settings in the jupyter notebook, the generated results does not look any similar to the results you posted.
I did not use google.colab to import content and style images, instead, the image are directly set by
CONTENT_IMAGE_FN = "../deepArt.ai/test/blue-moon-lake.jpg"
STYLE_IMAGE_FN = "../deepArt.ai/test/starry_night.jpg"

gen_at_iteration_10

@titu1994
Copy link
Owner

You need to run it for 100 epochs. It's quite slow so I set the default as 10 epochs.

@tj198505
Copy link
Author

Here is the result with 100 epochs
gen_at_iteration_100

@titu1994
Copy link
Owner

Hmm interesting. I can't recall the set of combinations that I ran to get the result, but it definitely wasn't the default settings I've posted here. I do remember epochs being 100, and changing a few other parameters.

The defaults are good baselines, but each image generally needs specific settings of parameters to get great results.

@tj198505
Copy link
Author

Which parameters you have change to achieve better results? What is your strategy to change them?

@titu1994
Copy link
Owner

Well, I used Inetwork, and used more style weights. It's a trial and error process, and that's from nearly two years ago so I don't remember.

@tj198505
Copy link
Author

Should this issue be 'open' then? Someone else may have the same issue.

@titu1994
Copy link
Owner

You could in essence try variations of the settings on Colab and see which setting gets you the result.

This issue is closed because it is very challenging to get the exact setting which gets the best output. Sadly, I have a folder of over 300+ images which were failed attempts of just 1 single image.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants