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

About training settings #12

Closed
kcs6568 opened this issue Mar 24, 2022 · 2 comments
Closed

About training settings #12

kcs6568 opened this issue Mar 24, 2022 · 2 comments

Comments

@kcs6568
Copy link

kcs6568 commented Mar 24, 2022

Hi. Thank you for the great project!

I'm curious about the training settings for each model epoch, learning rate, etc.

Can I get information about each model? (Faster RCNN, RetinaNet, etc)

@nerminsamet
Copy link
Collaborator

nerminsamet commented Mar 24, 2022

Hello,

In order to train the Faster RCNN, MaskRCNN and RetinaNet models we used MMDetection with the default parameter settings. Working with Detectron2 also should be OK. For the training of ExtremeNet, CornerNet and HoughNet we used the official repositories again with the default parameter settings. For some models we have to work with smaller batch sizes. In such cases we followed the linear learning rate rule to scale the learning rate according to batch size.

@kcs6568
Copy link
Author

kcs6568 commented Mar 25, 2022

Great! Thanks for the reply!

@kcs6568 kcs6568 closed this as completed Mar 25, 2022
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