bcb2f287e1
GitOrigin-RevId: d603719ec6e294f034936c0d0dc06f689d91b6c3
34 lines
1.5 KiB
Nix
34 lines
1.5 KiB
Nix
{ lib, stdenv, fetchFromGitHub, cmake, eigen, ffmpeg_4 }:
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stdenv.mkDerivation {
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pname = "musly";
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version = "unstable-2017-04-26";
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src = fetchFromGitHub {
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owner = "dominikschnitzer";
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repo = "musly";
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rev = "f911eacbbe0b39ebe87cb37d0caef09632fa40d6";
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sha256 = "1q42wvdwy2pac7bhfraqqj2czw7w2m33ms3ifjl8phm7d87i8825";
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};
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nativeBuildInputs = [ cmake ];
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buildInputs = [ eigen ffmpeg_4 ];
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fixupPhase = lib.optionalString stdenv.isDarwin ''
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install_name_tool -change libmusly.dylib $out/lib/libmusly.dylib $out/bin/musly
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install_name_tool -change libmusly_resample.dylib $out/lib/libmusly_resample.dylib $out/bin/musly
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install_name_tool -change libmusly_resample.dylib $out/lib/libmusly_resample.dylib $out/lib/libmusly.dylib
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'';
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meta = with lib; {
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homepage = "https://www.musly.org";
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description = "Fast and high-quality audio music similarity library written in C/C++";
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longDescription = ''
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Musly analyzes the the audio signal of music pieces to estimate their similarity.
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No meta-data about the music piece is included in the similarity estimation.
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To use Musly in your application, have a look at the library documentation
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or try the command line application included in the package and start generating
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some automatic music playlists right away.
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'';
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license = licenses.mpl20;
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maintainers = with maintainers; [ ggpeti ];
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platforms = with platforms; darwin ++ linux;
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mainProgram = "musly";
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};
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}
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