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

About how to calculate deception score for our own model of our own style dataset #35

Open
xurong1981 opened this issue Jan 21, 2020 · 0 comments

Comments

@xurong1981
Copy link

I can evaluate the new models of the artists mentioned in github page, based on evaluation data provided by the authors. But I wonder how to calculate deception score for new models of new styles, for example, I collect a data set on ink painting, and made a new model of ink painting. For this case, how can I calculate deception score for the new model of ink painting ?

Thank you so much for your comments.

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

1 participant