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

Anchors #72

Open
dienthaipham103 opened this issue Nov 21, 2020 · 2 comments
Open

Anchors #72

dienthaipham103 opened this issue Nov 21, 2020 · 2 comments

Comments

@dienthaipham103
Copy link

Does increasing the number of scales and ratios improve the performance of RPN model?

@Rodinaalaa
Copy link

@dienthaipham103 It would longer time in training and furthermore during testing, you will have a huge number of overlapping boxes that would be difficult to suppress! I usually use default values given in the code, unless I a long object with a bigger ratio, only then i change ratios. For scales, it depends whether you are trying to predict smaller or larger objects only then you can choose a range for that

@dienthaipham103
Copy link
Author

I got it. Thank you so much for your answer!

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