-
Notifications
You must be signed in to change notification settings - Fork 120
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
problem of train.py #42
Comments
Also for esize_label_batch() function in train.py, instead of UpsamplingBilinear2d but UpsamplingNearest2d should be used for resizing labels since labels can only be integer, converting float to int may cause mis-labeling for ground truth labels |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
In line 223 of train.py file. input and target should be both out[0] and label[0] if we want to use data after multi-scale fusion for training.
The text was updated successfully, but these errors were encountered: