Kornia

What it does

Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems.

Kornia is a non-profit organisation building computer vision for robotics and spatial AI: a differentiable PyTorch library with millions of installs a month, and a Rust stack that runs the same geometry on Jetson, Raspberry Pi and any Linux device.

Kornia is a non-profit building the stack for spatial AI — from differentiable vision for research to real-time perception on robots — maintained by a small team and funded by the people who use it. Most vision projects die between the prototype and the device. This is the path the stack is built for: write the perception once, then carry it down to the hardware. Start where research starts: in PyTorch, with operators and models that gradients flow through. On the right, three of them run on a clip in your browser: YuNet finding a face, a random affine augmentation held fixed for the whole pass, and Sobel edges. Try the rest in the playground before writing a line. The prototype…from kornia.org

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