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

Support BICUBIC interpolation for image resizing #2340

Open
JarnoRFB opened this issue Sep 10, 2024 · 2 comments
Open

Support BICUBIC interpolation for image resizing #2340

JarnoRFB opened this issue Sep 10, 2024 · 2 comments
Labels
feature request Functionality does not currently exist, would need to be created as a new feature (type) PyTorch (traced)

Comments

@JarnoRFB
Copy link

JarnoRFB commented Sep 10, 2024

How can this feature be used?

Bicubic image resizing is useful when requiring a resizing method that preserves higher quality, e.g. for object detection, and is implemented as a basic operation in Frameworks such as PyTorch.

Describe alternatives you've considered

Using bilinear interpolation.

Additional context

Other issues that might be related:

@JarnoRFB JarnoRFB added the feature request Functionality does not currently exist, would need to be created as a new feature (type) label Sep 10, 2024
@TobyRoseman
Copy link
Collaborator

This seems like the exact same request as #1747.

@JarnoRFB - how is this different than that?

@JarnoRFB
Copy link
Author

@TobyRoseman Not entirely sure. #1747 talked to about the upsampling and I am particularly interested in downsampling. This is beyond my Pytorch knowledge, but could be that downsampling is supported via the upsample_bicubic2d operator.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
feature request Functionality does not currently exist, would need to be created as a new feature (type) PyTorch (traced)
Projects
None yet
Development

No branches or pull requests

2 participants