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

yolo_loss #160

Open
jjjj4444 opened this issue Mar 8, 2019 · 1 comment
Open

yolo_loss #160

jjjj4444 opened this issue Mar 8, 2019 · 1 comment

Comments

@jjjj4444
Copy link

jjjj4444 commented Mar 8, 2019

in yolo_loss function
when calculateno_object_weights = (no_object_scale * (1 - object_detections) *(1 - detectors_mask))
should no_object_weights = (no_object_scale * (object_detections) *(1 - detectors_mask)) since no_object_weights is only activated when the iou between predicted boxes and ground truth is larger than 0.6 and detectors_mask=0.

@speeding-motor
Copy link

I have a little confuse with the loss function:

why not only use detector_mask to judge the box have box or not, why still need to get the object_detections,

any help is appreciate ,thanks in advance,

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