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

weighted boxes fusion on single model #28

Open
SISTMrL opened this issue May 26, 2021 · 2 comments
Open

weighted boxes fusion on single model #28

SISTMrL opened this issue May 26, 2021 · 2 comments

Comments

@SISTMrL
Copy link

SISTMrL commented May 26, 2021

hello, today i found a repo: https://github.com/kentaroy47/ODA-Object-Detection-ttA
this repo also use the wbf, you can find the code in adach/oda.py/line 192 class TTAWrapper. you can see the example.ipynb in that repo, i found oda use the wbf just only one model. I remember that you say that wbf on single model, the performance will drop. how do i choose the nms option in class TTAWrapper in oda? just nms='nms' not nms='wbf', thanks?

@ZFTurbo
Copy link
Owner

ZFTurbo commented May 26, 2021

WBF works great for TTA. It's bad for filtering boxes from single model. TTA != Single model

@SISTMrL
Copy link
Author

SISTMrL commented May 26, 2021

i saw that repo use single model, how can i use multiple models in that repo

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