wehub-resource-sync
3a2c66702c
Tests on CPU (scheduled) / check-skip (push) Has been cancelled
Tests on CPU (scheduled) / pre-tests (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-ubuntu (float32) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-ubuntu (float64) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.11, float32, 2.5.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.11, float32, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.11, float64, 2.5.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.11, float64, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.12, float32, 2.5.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.12, float32, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.12, float64, 2.5.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.12, float64, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.13, float32, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-windows (3.13, float64, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-mac (3.11, float32, 2.5.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-mac (3.11, float32, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-mac (3.12, float32, 2.5.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-mac (3.12, float32, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / tests-cpu-mac (3.13, float32, 2.9.1) (push) Has been cancelled
Tests on CPU (scheduled) / coverage (push) Has been cancelled
Tests on CPU (scheduled) / typing (push) Has been cancelled
Tests on CPU (scheduled) / tutorials (push) Has been cancelled
Tests on CPU (scheduled) / docs (push) Has been cancelled
Lint / TOML Format (push) Has been cancelled
27 lines
1.4 KiB
ReStructuredText
27 lines
1.4 KiB
ReStructuredText
What is Kornia library ?
|
|
========================
|
|
|
|
Kornia is a differentiable library that allows classical computer vision to be integrated into deep learning models.
|
|
|
|
It consists of a set of routines and differentiable modules to solve generic computer vision problems.
|
|
At its core, 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.
|
|
|
|
.. image:: https://raw.githubusercontent.com/kornia/kornia/main/docs/source/_static/img/hakuna_matata.gif
|
|
:align: center
|
|
|
|
The library is composed by a subset of packages containing operators that can be inserted
|
|
within neural networks to train models to perform image transformations, epipolar geometry, depth estimation,
|
|
and low level image processing such as filtering and edge detection that operate directly on tensors.
|
|
|
|
Why Kornia ?
|
|
------------
|
|
|
|
With *Kornia* we fill the gap between classical and deep computer vision that implements
|
|
standard and advanced vision algorithms for AI:
|
|
|
|
1. **Computer Vision:** Kornia fills the gap between Classical and Deep computer Vision.
|
|
2. **Differentiable:** We leverage the Computer Vision 2.0 paradigm.
|
|
3. **Open Source:** Our libraries and initiatives are always according to the community needs.
|
|
4. **PyTorch:** At our core we use PyTorch and its Autograd engine for its efficiency.
|