We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
Hello, first thanks to your awesome work!
I'm going to use the heart dataset from https://github.com/carrenD/Medical-Cross-Modality-Domain-Adaptation. for test.
And I'm wondering how you preprocess the data in tfrecords format?
For label, I just trans it into gray-scale with values from 1~4.
And I'm not sure how to preprocess the image, because the images had already did some argumentation like crop, normalized...
Could you share your preprocess method or the data? Thanks!
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hello, first thanks to your awesome work!
I'm going to use the heart dataset from https://github.com/carrenD/Medical-Cross-Modality-Domain-Adaptation. for test.
And I'm wondering how you preprocess the data in tfrecords format?
For label, I just trans it into gray-scale with values from 1~4.
And I'm not sure how to preprocess the image, because the images had already did some argumentation like crop, normalized...
Could you share your preprocess method or the data? Thanks!
The text was updated successfully, but these errors were encountered: