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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** |
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| `kornia <https://kornia.readthedocs.io/en/latest/index.html>`_ | a Differentiable Computer Vision library like OpenCV, with strong GPU support |
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| `kornia.augmentation <https://kornia.readthedocs.io/en/latest/augmentation.html>`_| a module to perform data augmentation in the GPU |
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| `kornia.color <https://kornia.readthedocs.io/en/latest/color.html>`_ | a set of routines to perform color space conversions |
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| `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 |
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| `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 |
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| `kornia.utils <https://kornia.readthedocs.io/en/latest/utils.html>`_ | image to tensor utilities and metrics for vision problems |
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