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

mask #66

Open
zhouhao028 opened this issue Jul 8, 2024 · 1 comment
Open

mask #66

zhouhao028 opened this issue Jul 8, 2024 · 1 comment

Comments

@zhouhao028
Copy link

zhouhao028 commented Jul 8, 2024

Hello, thank you very much for your work! I have a question now, why do both train and val in dataset.py need mask input. Inputting the image and its mask in the training set helps the model recognize the area it needs to recognize, but why does the validation set also need the mask input? Also, if I only input the image without the mask area, can VM-Unet finally output the mask image obtained based on this image input? Thank you very much for your work, thank you very much!

@JCruan519
Copy link
Owner

Q1: The mask is needed in the validation set to calculate performance metrics.
Q2: Yes, during testing, you can input only the image and still obtain the mask.

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