-
Notifications
You must be signed in to change notification settings - Fork 28
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
3 classification #2
Comments
So,where is the data? |
Thanks for your reply, i find a way to solve this problem, just replace the output of the network lay to 3 and rewrite loss function |
Thanks!May I ask for 3 classification did you make a label for every class separately?In this code the label has only one channel,it is impossible to calculate loss function because the label and the data don't have the same shape. |
I use one-hot code to divide the label, my loss function is 1-dice/class |
Hello I am trying to use unet on a custom data set of labels that have the standard 3 RGB channels. My question is how would I configure the mask for each image given that there are three different classifications I want?
The text was updated successfully, but these errors were encountered: