Highlighted Features
====================

.. image:: https://github.com/kornia/data/raw/main/kornia_paper_mosaic.png
   :align: center

At a granular level, Kornia is a library that consists of the following components:

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| **Component**                                                                     | **Description**                                                                                                                       |
+-----------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| `kornia <https://kornia.readthedocs.io/en/latest/index.html>`_                    | a Differentiable Computer Vision library like OpenCV, with strong GPU support                                                         |
+-----------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| `kornia.augmentation <https://kornia.readthedocs.io/en/latest/augmentation.html>`_| a module to perform data augmentation in the GPU                                                                                      |
+-----------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| `kornia.color <https://kornia.readthedocs.io/en/latest/color.html>`_              | a set of routines to perform color space conversions                                                                                  |
+-----------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| `kornia.contrib <https://kornia.readthedocs.io/en/latest/contrib.html>`_          | a compilation of user contrib and experimental operators                                                                              |
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| `kornia.feature <https://kornia.readthedocs.io/en/latest/feature.html>`_          | a module to perform feature detection                                                                                                 |
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| `kornia.filters <https://kornia.readthedocs.io/en/latest/filters.html>`_          | a module to perform image filtering and edge detection                                                                                |
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| `kornia.geometry <https://kornia.readthedocs.io/en/latest/geometry.html>`_        | a geometric computer vision library to perform image transformations, 3D linear algebra and conversions using different camera models |
+-----------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| `kornia.losses <https://kornia.readthedocs.io/en/latest/losses.html>`_            | a stack of loss functions to solve different vision tasks                                                                             |
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| `kornia.morphology <https://kornia.readthedocs.io/en/latest/morphology.html>`_    | a module to perform morphological operations                                                                                          |
+-----------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| `kornia.utils <https://kornia.readthedocs.io/en/latest/utils.html>`_              | image to tensor utilities and metrics for vision problems                                                                             |
+-----------------------------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+