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in Ready](https://badge.waffle.io/intel/libva-utils.png?label=ready\u0026title=Ready)](http://waffle.io/intel/libva-utils)\n[![Build Status](https://travis-ci.org/intel/libva-utils.svg?branch=master)](https://travis-ci.org/intel/libva-utils)\n[![Coverity Scan Build Status](https://scan.coverity.com/projects/11613/badge.svg)](https://scan.coverity.com/projects/intel-libva-utils)\n\n# Libva-utils Project\n\nlibva-utils is a collection of utilities and examples to exercise VA-API in accordance with the libva project. --enable-tests (default = no) provides a suite of unit-tests based on Google Test Framework. A driver implementation is necessary to properly operate.\n\nVA-API is an open-source library and API specification, which provides access to graphics hardware acceleration capabilities\nfor video processing. It consists of a main library and driver-specific acceleration backends for each supported hardware vendor.\n\nIf you would like to contribute to libva, check our [Contributing guide](https://github.com/intel/libva-utils/blob/master/CONTRIBUTING.md).\n\nWe also recommend taking a look at the ['janitorial' bugs](https://github.com/intel/libva-utils/issues?q=is%3Aopen+is%3Aissue+label%3AJanitorial) in our list of open issues as these bugs can be solved without an extensive knowledge of libva-utils.\n\nWe would love to help you start contributing!\n\nThe libva-utils development team can be reached via github issues.\n\n# Build and Install Libva-utils\n\n### Install Libva\nYou could refer to https://github.com/intel/libva to install Libva\n\n### Build Libva-utils\nTake latest libva-utils version:\n```\ngit clone https://github.com/intel/libva-utils.git\ncd libva-utils\n```\n\nBuild libva-utils by autogen. 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