Moodbar is a music visualization method that assigns colors to different parts of a track and presents them as a timeline. Applied to a music player, the main goal is to help the user navigate within a particular track. For example, if the user wants to skip to the first chorus of a song, a good moodbar implementation should be able to provide a hint of where this might occur in the timeline.
The particular moodbar implementation in this repository is based on the Bandwise Spectral Magnitude method presented in On Techniques for Content-Based Visual Annotation to Aid Intra-Track Music Navigation (Gavin Wood & Simon O'Keefe, 2005). It divides the track into small chunks and assigns a color to each chunk: the red channel represents audio levels in the low frequencies, green for mid frequencies, and blue for high frequencies.
This is a drop-in replacement for the outdated Moodbar program originally developed for Amarok.
Files in the gst
and src
directories are taken from Clementine (revision 3886f3d1e4b29d028c1bacf474bc40d1c45c2ea9, 2014-12-22) with slight modifications to remove some dependencies.
- FFTW 3
- GStreamer 1
- GStreamer Base Plugins
For building:
- Development files for the above
- C++ compiler
- Meson. If your OS doesn't have a package for this, you can install it through pip (requires Python 3).
- pkgconf or pkg-config
- Ninja
At runtime you may also need other GStreamer plugin packages to read your audio files. For example, to process MP3 files you may have to install GStreamer Ugly Plugins.
meson --buildtype=release build/
cd build/
ninja
sudo ninja install
You can add -Db_lto=true
to the meson
call to produce slightly more efficient code.
Building with custom flags and prefix, and staging to destdir:
env CXXFLAGS=... LDFLAGS=... meson --buildtype=plain --prefix=... builddir
ninja -C builddir
env DESTDIR=... ninja -C builddir install
See the Meson documentation for more info.
moodbar -o OUTPUT INPUT
This creates an output file containing pixel values in R1 G1 B1 R2 G2 B2 ...
format.
You can run meson test -v
inside the build directory to run some unit tests.
The tests require the following:
- Python 3
- NumPy
gst-launch-1.0
. If this is named differently in your system or is not in PATH, point the GST_LAUNCH environment variable to it.
When you contribute to a file in this project, you agree to release your contribution under the same license specified in the file's license header. If there is no license header in the file, or if it's a new file, you agree to release your contribution under the GNU General Public License version 3 or later (GPL-3.0+), or you may specify another license that is compatible with GPL-3.0+.
Code in the gst
and src
directories must be kept as close as possible to their original versions in the Clementine repository.
The only permitted changes are to remove additional dependencies, to fix build errors/warnings, and to fix serious (e.g. security) issues.
Other C or C++ code must be formatted with clang-format using the default settings.