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

Evaluate on custom dataset #8

Open
Jiet-97 opened this issue Sep 2, 2023 · 2 comments
Open

Evaluate on custom dataset #8

Jiet-97 opened this issue Sep 2, 2023 · 2 comments

Comments

@Jiet-97
Copy link

Jiet-97 commented Sep 2, 2023

Hi,

May I know if I can evaluate the pretrained model on my custom dataset? I will like to get the predicted score for each testing image, besides of image itself, anything else should I prepared to get the score result?

@davidmcarreira
Copy link

The code can be easily adapted to evaluate over your custom dataset. All you have to do is pass to get_batch_feature a list with the path to each image.

@GKG1312
Copy link

GKG1312 commented Apr 5, 2024

@davidmcarreira , @Jiet-97
What about the pair list which is getting used when we are using XQLFW datasets? Is such file is not required for custom datasets?

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

3 participants