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

Testing results are not as expected #11

Open
SURABHI-GUPTA opened this issue Jan 7, 2022 · 3 comments
Open

Testing results are not as expected #11

SURABHI-GUPTA opened this issue Jan 7, 2022 · 3 comments

Comments

@SURABHI-GUPTA
Copy link

SURABHI-GUPTA commented Jan 7, 2022

@xiefan-guo Hey. Thanks for releasing the codebase.

I tested your pretrained model on celeba, however, the results are not as expected. Even the identity of the person belongs to the training set, still it does not generalize well. What could be the reason?

2
2

2

@xiefan-guo
Copy link
Owner

Hi, maybe it is caused by the preprocessing of the image. We follow the experimental settings of EdgeConnect. For CelebA, we cropped the center 178x178 of the images, then resized them to 256x256 using bilinear interpolation.

@haolin512900
Copy link

Hi, maybe it is caused by the preprocessing of the image. We follow the experimental settings of EdgeConnect. For CelebA, we cropped the center 178x178 of the images, then resized them to 256x256 using bilinear interpolation.
How to solve this problem please?

@FavorMylikes
Copy link

FavorMylikes commented Apr 16, 2022

Hi, maybe it is caused by the preprocessing of the image. We follow the experimental settings of EdgeConnect. For CelebA, we cropped the center 178x178 of the images, then resized them to 256x256 using bilinear interpolation.

How to solve this problem please?

Have you solve this problem?

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

4 participants