idriskalp
51 lines
1.8 KiB
XML
51 lines
1.8 KiB
XML
<?xml version="1.0" ?>
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<!DOCTYPE PISI SYSTEM "http://www.pisilinux.org/projeler/pisi/pisi-spec.dtd">
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<PISI>
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<Source>
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<Name>vmaf</Name>
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<Homepage>https://github.com/netflix/vmaf/</Homepage>
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<Packager>
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<Name>Idris KALP</Name>
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<Email>idriskalp@gmail.com</Email>
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</Packager>
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<License>Apache</License>
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<IsA>library</IsA>
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<Summary>Perceptual video quality assessment algorithm based on multi-method fusion</Summary>
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<Description>VMAF is a perceptual video quality assessment algorithm developed by Netflix. VMAF Development Kit (VDK) is a software package that contains the VMAF algorithm implementation, as well as a set of tools that allows a user to train and test a custom VMAF model.</Description>
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<Archive sha1sum="c050ada8ec285c56d4d40e16f03e451787c0999e" type="targz">https://github.com/Netflix/vmaf/archive/v1.3.15.tar.gz</Archive>
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</Source>
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<Package>
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<Name>vmaf</Name>
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<RuntimeDependencies>
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<Dependency>libgcc</Dependency>
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</RuntimeDependencies>
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<Files>
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<Path fileType="executable">/usr/bin</Path>
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<Path fileType="doc">/usr/share/doc</Path>
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<Path fileType="data">/usr/share</Path>
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</Files>
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</Package>
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<Package>
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<Name>vmaf-devel</Name>
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<Files>
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<Path fileType="library">/usr/lib</Path>
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<Path fileType="header">/usr/include</Path>
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<Path fileType="data">/usr/lib/pkgconfig</Path>
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</Files>
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</Package>
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<History>
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<Update release="1">
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<Date>2019-10-27</Date>
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<Version>1.3.15</Version>
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<Comment>First Release</Comment>
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<Name>Idris KALP</Name>
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<Email>idriskalp@gmail.com</Email>
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</Update>
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</History>
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</PISI>
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