Metadata-Version: 2.1
Name: foveatorch
Version: 0.1.5
Summary: Differentiable foveated vision for Deep Learning methods
Home-page: https://github.com/emaballarin/foveatorch
Author: Emanuele Ballarin
Author-email: emanuele@ballarin.cc
License: MIT
Keywords: Deep Learning,Machine Learning,Computer Vision,Computational Neuroscience,Differentiable Programming
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Environment :: Console
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch>=2
Requires-Dist: kornia>=0.6.12

# `FoveaTorch` 👀🔥 <a href="https://bucket.ballarin.cc/serve/img/foveatorch_dalle2.png"><img src="https://bucket.ballarin.cc/serve/img/foveatorch_dalle2.png" align="right" height="139" /></a>

Differentiable foveated vision for Deep Learning methods

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### References
- [J.S. Perry and W.S. Geisler, "Gaze-contingent real-time simulation of arbitrary visual fields", IS&T/SPIE Electronic Imaging, 2002](https://sci-hub.ru/10.1117/12.469554)
- [M. Jiang, S. Huang, J. Duan and Q. Zhao, "SALICON: Saliency in Context", IEEE Conference on Computer Vision and Pattern Recognition, 2015](https://sci-hub.ru/10.1109/CVPR.2015.7298710)
- [Zhibo Yang, "Image_Foveation_Python: Python implementation of image retina transformation"](https://github.com/ouyangzhibo/Image_Foveation_Python)
