{"id":13767882,"url":"https://github.com/intel/libva","last_synced_at":"2025-05-14T05:00:27.857Z","repository":{"id":14042651,"uuid":"16745233","full_name":"intel/libva","owner":"intel","description":"Libva is an implementation for VA-API (Video Acceleration API)","archived":false,"fork":false,"pushed_at":"2025-04-18T08:04:44.000Z","size":8195,"stargazers_count":694,"open_issues_count":212,"forks_count":305,"subscribers_count":85,"default_branch":"master","last_synced_at":"2025-04-18T21:37:45.019Z","etag":null,"topics":["c","va-api","video-api","video-decoding","video-processing","video-recording"],"latest_commit_sha":null,"homepage":"http://intel.github.io/libva/","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/intel.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS","contributing":"CONTRIBUTING.md","funding":null,"license":"COPYING","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"security.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2014-02-11T20:57:42.000Z","updated_at":"2025-04-18T08:04:48.000Z","dependencies_parsed_at":"2023-09-28T04:02:50.658Z","dependency_job_id":"e0567df6-ce72-498c-ac77-cd5fba3a89ac","html_url":"https://github.com/intel/libva","commit_stats":{"total_commits":1786,"total_committers":162,"mean_commits":"11.024691358024691","dds":0.7637178051511758,"last_synced_commit":"4bb5f16c57b059976110db350d771a0ba72b7ef1"},"previous_names":[],"tags_count":267,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/intel%2Flibva","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/intel%2Flibva/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/intel%2Flibva/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/intel%2Flibva/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/intel","download_url":"https://codeload.github.com/intel/libva/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254076329,"owners_count":22010596,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["c","va-api","video-api","video-decoding","video-processing","video-recording"],"created_at":"2024-08-03T16:01:13.647Z","updated_at":"2025-05-14T05:00:27.828Z","avatar_url":"https://github.com/intel.png","language":"C","readme":"# Libva Project\n\nLibva is an implementation for VA-API (Video Acceleration API)\n\nVA-API is an open-source library and API specification, which provides access to graphics hardware acceleration capabilities for 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/blob/master/CONTRIBUTING.md).\n\nWe also recommend taking a look at the ['janitorial' bugs](https://github.com/intel/libva/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.\n\nWe would love to help you start contributing!\n\nDoxygen files are regularly updated through Github Pages and can be accessed directly through [github pages libva](http://intel.github.io/libva/)\n\nThe libva development team can be reached via github issues.\n\n\n# Build and Install Libva\n*This build documentation was tested under clear Ubuntu Server 18.04 (with gcc-7.3.0, gcc-8.1.0 and clang-6.0 compilers) but it should work on another OS distributions with various versions of gcc and clang.*\n## Install all required common packages: \n```\nsudo apt-get install git cmake pkg-config meson libdrm-dev automake libtool\n```\n\nTake latest libva version:\n```\ngit clone https://github.com/intel/libva.git\ncd libva\n```\n\n## Build with autogen and Meson\n\nWhen you install the libva from OSV package repositories, different OSV distro use different default location for libva. Basically, Debian/Ubuntu family install libva to /usr/lib/x86_64-linux-gnu and rpm family like Fedora/CentOS/SUSE/RHEL install libva to /usr/lib64. For Other media component default location, you could refer to [Install from OSV package](https://github.com/intel/media-driver/wiki/Install-from-OSV-package))\n\nWithout prefix setting, libva will be install to /usr/local/lib as default. If you use other path as installation target folder or no prefix, you have to add the folder to your environment variable or use LD_LIBRARY_PATH to specify the location, like LD_LIBRARY_PATH=/usr/local/lib if no prefix.\n\nIf you intent to overwrite system default libva, you could use same OSV distro prefix, then system libva will be replaced and also your new installed libva version will be overwrited when you upgrade it from OSV distro package repository. \n\nFor debian family, you could use autogen\n```\n./autogen.sh --prefix=/usr --libdir=/usr/lib/x86_64-linux-gnu\nmake\nsudo make install\n```\nor build using Meson\n```\nmkdir build \ncd build \nmeson .. -Dprefix=/usr -Dlibdir=/usr/lib/x86_64-linux-gnu\nninja\nsudo ninja install\n```\n\nFor rpm family, you could use autogen\n```\n./autogen.sh --prefix=/usr --libdir=/usr/lib64\nmake\nsudo make install\n```\nor build using Meson\n```\nmkdir build \ncd build \nmeson .. -Dprefix=/usr -Dlibdir=/usr/lib64\nninja\nsudo ninja install\n```\n","funding_links":[],"categories":["Encoding","HarmonyOS"],"sub_categories":["Talks Presentations Podcasts","Windows Manager"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fintel%2Flibva","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fintel%2Flibva","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fintel%2Flibva/lists"}