Kornia

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00342342" target="_blank" >RIV/68407700:21230/20:00342342 - isvavai.cz</a>
Result on the web
<a href="https://github.com/kornia/kornia" target="_blank" >https://github.com/kornia/kornia</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Kornia
Original language description
This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems. The package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by OpenCV, Kornia is composed of a set of modules containing operators that can be inserted inside neural networks to train models to perform image transformations, camera calibration, epipolar geometry, and low level image processing techniques, such as filtering and edge detection that operate directly on high dimensional tensor representations. Examples of classical vision problems implemented using our framework are provided including a benchmark comparing to existing vision libraries.
Czech name
—
Czech description
—

Type
R - Software
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID
Kornia
Technical parameters
An open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems. The package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by OpenCV, Kornia is composed of a set of modules containing operators that can be inserted inside neural networks to train models to perform image transformations, camera calibration, epipolar geometry, and low level image processing techniques, such as filtering and edge detection that operate directly on high dimensional tensor representations. Examples of classical vision problems implemented using our framework are provided including a benchmark comparing to existing vision libraries. Contact person: Mgr. Dmytro Mishkin, VRG, dept. of cybernetics, FEE, CTU in Prague, +420 22435 7600.
Economical parameters
Kornia license is free of charge, but it saves tens of thousands if the users should develop the methods themselves.
Owner IČO
68407700
Owner name
skupina vizuálního rozpoznávání

Similar results(10)