kornia/kornia
kornia
π Geometric Computer Vision Library for Spatial AI
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kornia
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Kornia is a differentiable computer vision library for PyTorch that provides a set of routines and differentiable modules to solve generic computer vision problems. It consists of a package of differentiable computer vision primitives that can be integrated into deep learning models for tasks like image transformations, filtering, and geometric operations. The library is designed to bridge the gap between classical computer vision and deep learning by making computer vision operations differentiable and GPU-accelerated.
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- Project created
- Aug 22, 2018
- Forked
- Mar 31, 2026
- Your last push
- 14 days ago
- Upstream last push
- 7 days ago
- Tracked since
- Mar 30, 2026
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