depot/third_party/nixpkgs/pkgs/applications/audio/musly/default.nix
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GitOrigin-RevId: d603719ec6e294f034936c0d0dc06f689d91b6c3
2024-06-20 20:27:18 +05:30

34 lines
1.5 KiB
Nix

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