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

How to compute FVD on UCF101 #46

Open
MajorDavidZhang opened this issue Aug 4, 2024 · 0 comments
Open

How to compute FVD on UCF101 #46

MajorDavidZhang opened this issue Aug 4, 2024 · 0 comments

Comments

@MajorDavidZhang
Copy link

Hi, I'd like to compare the generation quality of my model with yours on UCF101 using the FVD score. After reading the papers and all the related issues in your repository, I still have some confusion about how to compute FVD on UCF101.

Since UCF101 has 101 classes, I plan to generate 20 clips per class, resulting in a total of 2020 clips. Following that, I intend to uniformly sample 4 clips per class from the UCF101 dataset and compute the FVD score between the generated clips and the real dataset clips using calc_metrics_for_dataset.py.

Is the above procedure correct?

Additionally, do I need to align the class information when organizing the generated and real datasets? For example, if Clips 0-3 in the generated data belong to UCF101 Class 1, should Clips 0-3 in the sampled real data also come from UCF101 Class 1?

Thank you for your time and response.

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