Computer vision for artificial intelligence
Kornia is a differentiable computer vision library developed for spatial AI applications. Running on the PyTorch deep learning framework, this tool enables the integration of image processing and geometric vision algorithms into artificial intelligence workflows.
Updates
- November 2, 2026: Stars 11,886 → 11,944, latest release v0.9.0 (October 23, 2026).
What you get
- It accelerates operations by running image processing and geometric computations on the graphics processing unit (GPU).
- Thanks to its differentiable structure, it connects directly to model trainings built with the PyTorch deep learning framework.
- It offers data augmentation, edge detection, and ready-made visual analysis models under a single roof.
Installation
pip install korniaIf you don't write code
I want to install the Kornia library to execute image processing and geometric calculation steps in my deep learning projects. Run the `pip install kornia` command for installation and then verify that the library is ready in the environment.
Repository: https://github.com/kornia/kornia. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-11-02: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.