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

Data preparation understanding #3

Open
TanmDL opened this issue Feb 8, 2019 · 2 comments
Open

Data preparation understanding #3

TanmDL opened this issue Feb 8, 2019 · 2 comments

Comments

@TanmDL
Copy link

TanmDL commented Feb 8, 2019

Thank you sharing the code.
Could you please give me an insight of "MirrowCut function" in HyperFunctions.py file?

@YonghaoXu
Copy link
Owner

@TanmDL Thank you for your interest in our work. As described in the paper, the input of the MSCNN is a w by w neighbor region of each pixel in the image. For those pixels distributing on the edge of the image, we fill the vacant pixels of the neighbor by mirroring the image. This procedure is implemented by the MirrowCut function.

@TanmDL
Copy link
Author

TanmDL commented Feb 11, 2019

Thank you. Now I got the idea. :)

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