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

Results #3

Open
ReefAlturki opened this issue Apr 14, 2024 · 3 comments
Open

Results #3

ReefAlturki opened this issue Apr 14, 2024 · 3 comments

Comments

@ReefAlturki
Copy link

Dear authors,

I am trying to test the model and see the results, and I tried with different backbone networks [resnet18, resnet50, swin-t] but the results I get are different from the ones mentioned in the paper, for example I am getting a low track/MOTP score. I would appreciate your advice regarding this matter and thank you for your time!

Best wishes,

@wyhdata97
Copy link

How can i test the model?

@ReefAlturki
Copy link
Author

Hi,
you just need to load the pre-trained models uploaded by the developers in this link: https://github.com/tteepe/EarlyBird/releases/tag/v1

unzip them and then write the following command: python main.py test -c model_weights/config.yaml
--ckpt model_weights/model-epoch=35-val_loss=6.50.ckpt

Could you please let me know if you get the same or close results to the papers? I am getting very low MOTP and MT scores and still trying to figure out why

Kind regards

@Graysonicc
Copy link

I also get low MOTP and MT scores. Have you found the cause of the problem?

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