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

Question about Inception Scores #20

Closed
zx1301 opened this issue Nov 20, 2019 · 1 comment
Closed

Question about Inception Scores #20

zx1301 opened this issue Nov 20, 2019 · 1 comment

Comments

@zx1301
Copy link

zx1301 commented Nov 20, 2019

Hello,

I'm trying to replicate the Inception Scores shown in the sg2im paper and I have been using a version of this: https://github.com/sbarratt/inception-score-pytorch/blob/master/inception_score.py by giving the predicted and ground-truth image tensors as input. When I do this, my results are significantly lower than the inception scores in the paper. Can someone provide any guidance for how I should try to calculate the inception scores so that I can replicate the numbers in the Sg2im paper?

@jcjohnson
Copy link
Collaborator

Inception scores are extremely sensitive to the exact model you use to compute them.

It looks like the code you link is using the torchvisvion inception_v3 model; however most people who report inception scores (including my paper) typically use the Inception v1 model from Google. I used the original OpenAI code to compute inception scores:

https://github.com/openai/improved-gan/blob/master/inception_score/model.py

@zx1301 zx1301 closed this as completed Nov 25, 2019
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