Kornia 0.5.5 release
Kornia - Open Source Differentiable Computer Vision Library for PyTorch.
Kornia team is happy to announce the release for v0.5.5.
- Support for PyTorch 1.9.0
- Interface for Stereo Camera manipulation
- Random selection for the augmentation containers
- Bug fixes
CHANGELOG
Added
- Added Stereo camera class (#1102)
- Added auto-generated images in docs (#1105) (#1108) (#1127) (#1128) (#1129) (#1131)
- Added chinese version README (#1112)
- Added random_apply to augmentaton containers (#1125)
Changed
- Change GaussianBlur to RandomGaussianBlur (#1118)
- Update ci with pytorch 1.9.0 (#1120)
- Changed option for mean and std to be tuples in normalization (#987)
- Adopt torch.testing.assert_close (#1031)
Removed
- Remove numpy import (#1116)
Contributors
@copaah @ducha-aiki @edgarriba @eugene87222 @JoanFM @justanhduc @pmeier @shijianjian
In addition, we are revamping our online documentation by adding as much as visual examples to each functionality.
Visit our documentation here: https://kornia.readthedocs.io/en/latest/enhance.html
👉 Feel free to reach us for collaborations
Visit our website 🚀 www.kornia.org 🚀
Give us a star in Github ⭐️ https://github.com/kornia/kornia/stargazers ⭐️
Follow us in Twitter 🐦 https://twitter.com/kornia_foss 🐦
Donate (@opencollective) 🙏 https://opencollective.com/kornia 🙏
Have a happy coding day 
The Kornia team