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

Multi-Scale Structural Similarity #9

Open
jorge-pessoa opened this issue Apr 3, 2018 · 2 comments
Open

Multi-Scale Structural Similarity #9

jorge-pessoa opened this issue Apr 3, 2018 · 2 comments

Comments

@jorge-pessoa
Copy link

Hello,

This SSIM implementation is a great addiction to the differentiable functions of PyTorch. However it is lacking the Multi-Scale Structural Similarity, a more commonly used metric in image assessment. I think it would be beneficial and relatively simple to implement and add this metric to this project.

I wrote a basic working MS-SSIM implementation based on SSIM from this project and using the Tensorflow implementation as reference. Would you consider adding the MS-SSIM metric if a pull request was sent?

Thank you,

@chaos5958
Copy link

chaos5958 commented Apr 9, 2018

Dear jorge-pessoa,

I also need MS-SSIM, how is your progress?
Could you share your version of MS-SSIM?

In addtion, I wonder whether there is GPU version of MS-SSIM regardless of using pytorch. (BUT SHOULD RUN ON PYTHON)

Thanks,
Hyunho

@jorge-pessoa
Copy link
Author

Hello,

I'm currently using the mentioned MS-SSIM implementation on training with success. The results obtained are equal to this implementation https://github.com/tensorflow/models/blob/master/research/compression/image_encoder/msssim.py within +- 4 decimal places so i suppose it is mostly correct.

I forked this repository and included the MS-SSIM implementation which you can find at https://github.com/jorge-pessoa/pytorch-msssim. I hope it is of some use to you.

Thanks,
Jorge

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