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

the implementation of the yolov3 #44

Open
1453042287 opened this issue Nov 28, 2018 · 3 comments
Open

the implementation of the yolov3 #44

1453042287 opened this issue Nov 28, 2018 · 3 comments

Comments

@1453042287
Copy link

i read the code, but i found that the loss function is ssd's? the multibox loss function is't the function in yolo's paper, right?

@seongkyun
Copy link

Multibox loss can be applied to any kind of single shot detectors.
That is a kinda loss function.

@1453042287
Copy link
Author

@seongkyun thanks a lot but i wonder if the performance is as good as the 'real' yolov3's

@seongkyun
Copy link

Exactly yes. You know that there is any code that can train Yolo V3 with any other deep learning toolkit except Darknet. Every other codes are just reads pre-trained weight file and does forward pass.

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