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[![Stories in Ready](https://badge.waffle.io/intel/libva.png?label=ready&title=Ready)](http://waffle.io/intel/libva)
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[![Build Status](https://travis-ci.org/intel/libva.svg?branch=master)](https://travis-ci.org/intel/libva)
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[![Coverity Scan Build Status](https://scan.coverity.com/projects/11605/badge.svg)](https://scan.coverity.com/projects/intel-libva)
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# Libva Project
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Libva is an implementation for VA-API (Video Acceleration API)
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VA-API is an open-source library and API specification, which
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provides access to graphics hardware acceleration capabilities
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for video processing. It consists of a main library and
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driver-specific acceleration backends for each supported hardware
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vendor.
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If you would like to contribute to libva, check our [Contributing
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guide](https://github.com/intel/libva/blob/master/CONTRIBUTING.md).
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We also recommend taking a look at the ['janitorial'
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bugs](https://github.com/intel/libva/issues?q=is%3Aopen+is%3Aissue+label%3AJanitorial)
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in our list of open issues as these bugs can be solved without an
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extensive knowledge of libva.
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We would love to help you start contributing!
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Doxygen files are regularly updated through Github Pages and can
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be accessed directly through [github pages
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libva](http://intel.github.io/libva/)
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The libva development team can be reached via our [mailing
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list](https://lists.01.org/mailman/listinfo/intel-vaapi-media) and on IRC
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in channel ##intel-media on [Freenode](https://freenode.net/kb/answer/chat).
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We also use [#Slack](https://slack.com) and host [VAAPI Media Slack
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Team](https://intel-media.slack.com). You can signup by submitting your email
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address to our [Slack Team invite page](https://slack-join-intel-media.herokuapp.com).
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Slack complements our other means of communication. Pick the one that works
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best for you!
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