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

about train size #22

Open
andre20000131 opened this issue Apr 9, 2024 · 0 comments
Open

about train size #22

andre20000131 opened this issue Apr 9, 2024 · 0 comments

Comments

@andre20000131
Copy link

hi,
dongyoung,I would like to ask you a question.

i found that you make all images resized to 256×256 images as used in U-Net.i want to know why resized to 256,if i want use 4k(3840,2160) to train unet, Will this have any impact? and , if i train use 256 but when i test image, i use 4k image, Will it affect accuracy?
In short, what is the size of my training that I want to apply to 4k images? I saw that you have a crop operation, and I am very puzzled why do you still need to resize the original image after the crop? I would like to hear your suggestions and look forward to your response.

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