Computer Vision 2.0

Let the pixels backprop to the future

Why Kornia?

Kornia is a differentiable library that allows classical computer vision to be integrated into deep learning models.

Eye
Computer Vision
Fx
Differentiability
Book
Open Source
Drop
PyTorch

News

Roadmap Kornia 0.6.0 announcement

04/06/2021

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Talk at FOSSASIA Summit 2021

03/19/2021

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Kornia release 0.5.0: Morphological operators, Deep descriptors, Video Augmentations and more

03/03/2021

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New tutorials website

02/25/2021

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DiffCVGP: Differentiable vision, graphics, and physics applied to machine learning

12/11/2020

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PyTorch Developer Day 2020

11/12/2020

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Kornia release 0.4.1: Improve 3D augmentations and 3D transforms low level API

10/20/2020

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Creation of Kornia blog

10/02/2020

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New paper: A survey on Kornia: an Open Source Differentiable Computer Vision Library for @PyTorch

09/23/2020

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Kornia 0.4.0 Release: 3D augmentations, local features matching, homographies and epipolar geometry

07/07/2020

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IRI Robotics Summer School 2020 with Kornia

06/25/2020

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CVPR2020 tutorial - Local Features: From SIFT to Differentiable Methods

06/15/2020

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Kornia 0.3.1 Release: Expose align corners, add support to Python 3.8 and more fixes

05/11/2020

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Kornia 0.3.0 Release: PyTorch 1.5 support, accelerated Data Augmentation, stable GPU testing and easy ecosystem integration

04/27/2020

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Kornia v0.2.1 Release Data augmentation framework, deep descriptors and more

04/21/2020

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Edgar’s talk at @GDG_ES

04/21/2020

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Kornia v0.2.0 release.

01/27/2020

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First Kornia Hackaton

12/14/2019

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AWS Open Source oficially sponsors with promotional credits.

11/05/2019

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Kornia joins the PyTorch ecosystem

10/30/2019

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AUR (Arch User Repository) packages for kornia

10/24/2019

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Created and moved the project to a standalone GitHub organization

10/24/2019

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Kornia joins the PyTorch Discuss forum. Please address your Q&A

10/20/2019

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Starting a partnership with fast.ai to implement kornia in their high level API.

10/16/2019

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Paper accepted in 2020 Winter Conference on Applications of Computer Vision (WACV ’20).

09/17/2019

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Ecosystem

Lightning-flash

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

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Kaggle

The Home of Data Science

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Catalyst

Accelerated deep learning R&D

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Fastai

The fastai deep learning library

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Adversarial Robustness Toolbox (ART)

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

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Machine Learning Workspace

All-in-one web-based IDE specialized for machine learning and data science.

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Tormentor

Image data augmentation with pytorch

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Gradslam

Gradslam is an open source differentiable dense SLAM library for PyTorch

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