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

Confused of Interp layer #4

Open
Queequeg92 opened this issue Sep 25, 2017 · 2 comments
Open

Confused of Interp layer #4

Queequeg92 opened this issue Sep 25, 2017 · 2 comments

Comments

@Queequeg92
Copy link

According to your paper, the "Interp" layer does a bilinear interpolation to upsample its previous layer's output. But "Interp" layer has two inputs in your implementation. I'm not very familiar with caffe. Could you provide some documentations of "Interp" layer in caffe? Is there any alternatives in tensorflow or pytorch?

@ondrejbiza
Copy link

The first input to the layer is the Tensor to be resized, the second input dictates the target size. In Tensorflow, you can use tf.image.resize_images with Bilinear interpolation.

@Queequeg92
Copy link
Author

Got it! 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

2 participants