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

Provided weights don't seem to recreate presented results. #1

Open
jdagdelen opened this issue Jan 20, 2020 · 4 comments
Open

Provided weights don't seem to recreate presented results. #1

jdagdelen opened this issue Jan 20, 2020 · 4 comments

Comments

@jdagdelen
Copy link

Hi, I just tried using the provided weights for the face model from the README and I'm getting results that aren't performing at the same level as I would expect. Are these the correct weights?

Sketchback_1

@jdagdelen
Copy link
Author

Ok, so I've figured out it is affected by image rescaling. When I re-run with the dimensions set to 80x112 I get the following.

Figure_1

@remya-ravi
Copy link

can u please explain how did u run this project. did u make any modification to the code ? whicha are the dataset u used ?
please

@jdagdelen
Copy link
Author

I adapted the code in sketchback.py and changed the input parameters to fit the appropriate image class. The data was the CUHK face data set.

@remya-ravi
Copy link

Thank you for your replay. But i need to know more details like : what do u mean by input parameters ? is it the name of image ? the function train_faces is not calling anywhere in the code. but when i call it, i got errors. and i need to know does the loss functions work . And when i change the dimension of image in the code , it does not work properly for any other image than in the cuhk dataset. and 80x112 produce an output with very low quality.

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