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

Using nnUNet V1 to infer the predicted results, it does not work in the final step #2192

Open
angleboy8 opened this issue May 15, 2024 · 0 comments
Assignees

Comments

@angleboy8
Copy link

angleboy8 commented May 15, 2024

截图 2024-05-16 06-47-05

When the pretrained model generated by nnUNetV1 is used, nnUNetV1 does not work in the final step that exports the segmentation result. It will always remain in this state. I think that this is because the size of the input CT sample is too large, namely, 103.5MB. The RAM of my PC is 32GB and the GPU is 4090. Please how to resolve this issue. Thank you for your help very much. Looking forward to your reply.

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