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

How to write U-Net Deep Learning code dealing with ".tiff" images? #132

Open
JenniferYingyiWu2020 opened this issue Sep 16, 2021 · 0 comments

Comments

@JenniferYingyiWu2020
Copy link

Hi,
I have read the supervised machine learning on the page of "https://rasterframes.io/supervised-learning.html", now I would like to implement U-Net (Semantic Segmentation) Deep Learning which is integrated with RasterFrames.
However, I am so confused about how to write U-Net Deep Learning code dealing with ".tiff" images? So, would you pls help to give me some suggestions? Many Thanks!

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

1 participant