<?xml version="1.0" ?>
<!DOCTYPE PISI SYSTEM "http://www.pisilinux.org/projeler/pisi/pisi-spec.dtd">
<PISI>
    <Source>
        <Name>vmaf</Name>
        <Homepage>https://github.com/netflix/vmaf/</Homepage>
        <Packager>
           <Name>Idris KALP</Name>
           <Email>idriskalp@gmail.com</Email>
        </Packager>
        <License>Apache</License>
        <IsA>library</IsA>
        <Summary>Perceptual video quality assessment algorithm based on multi-method fusion</Summary>
        <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>
        <Archive sha1sum="c050ada8ec285c56d4d40e16f03e451787c0999e" type="targz">https://github.com/Netflix/vmaf/archive/v1.3.15.tar.gz</Archive>
    </Source>

    <Package>
        <Name>vmaf</Name>
		<RuntimeDependencies>
			<Dependency>libgcc</Dependency>
		</RuntimeDependencies>
        <Files>
			<Path fileType="executable">/usr/bin</Path>
			<Path fileType="doc">/usr/share/doc</Path>
			<Path fileType="data">/usr/share</Path>
        </Files>
    </Package>
	
	<Package>
        <Name>vmaf-devel</Name>
        <Files>
            <Path fileType="library">/usr/lib</Path>
			<Path fileType="header">/usr/include</Path>
			<Path fileType="data">/usr/lib/pkgconfig</Path>
        </Files>
    </Package>
    
    <History>
      <Update release="1">
            <Date>2019-10-27</Date>
            <Version>1.3.15</Version>
            <Comment>First Release</Comment>
			<Name>Idris KALP</Name>   
            <Email>idriskalp@gmail.com</Email>             
        </Update>
    </History>
</PISI>
 
 
