blob: b1e8822cdcf8be73420b71c17d223df5bbfa6b0a (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
{ stdenv, fetchFromGitHub, cmake, eigen, libav_all }:
stdenv.mkDerivation {
pname = "musly";
version = "unstable-2017-04-26";
src = fetchFromGitHub {
owner = "dominikschnitzer";
repo = "musly";
rev = "f911eacbbe0b39ebe87cb37d0caef09632fa40d6";
sha256 = "1q42wvdwy2pac7bhfraqqj2czw7w2m33ms3ifjl8phm7d87i8825";
};
nativeBuildInputs = [ cmake ];
buildInputs = [ eigen (libav_all.override { vaapiSupport = stdenv.isLinux; }).libav_11 ];
fixupPhase = if stdenv.isDarwin then ''
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
'' else "";
meta = with stdenv.lib; {
homepage = "https://www.musly.org";
description = "A 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;
};
}
|