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Updated README

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emeric
2020-02-15 14:04:04 +01:00
parent ef5cf9b5aa
commit 7f05a1d4e6
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README.md
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@@ -21,24 +21,29 @@ A [demo](http://lms.demo.poupon.io) instance is available, with the following li
* Multi-value tags: artists, genres, ...
* Custom tags (ex: _mood_, _genre_, _albummood_, _albumgrouping_, ...)
* MusicBrainzID support to handle duplicated artist and release names
* Playlists, (only using Subsonic API for now)
* Starred Album/Artist/Tracks (only using Subsonic API for now)
* _Systemd_ integration
* Subsonic-only features:
* Playlists
* Starred Album/Artist/Tracks
* Bookmarks
## Recommendation engine
## Music discovery
_LMS_ provides several ways to help you find the music you like:
* Tag-based filters (ex: _Rock_, _Metal_ and _Aggressive_, _Electronic_ and _Relaxed_, ...)
* Recommendations for similar artists and albums
* Radio mode
* Radio mode, based on what is in the current playqueue
* Searches in album, artist and track names
* Most played/Recently added music
The recommendation engine makes use of [Self-Organizing Maps](https://en.wikipedia.org/wiki/Self-organizing_map).</br>
__Notes__:
* constructing the map requires significant computation time on large collections (ex: half an hour for 40k tracks)
* audio data is pulled from [AcousticBrainz](https://acousticbrainz.org/). Therefore your music files must contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) for the recommendation engine to work properly (otherwise, only tag-based recommendations are provided)
* to use the _self-organizing map_ based engine, you have to enable it first in the settings panel.
The recommendation engine uses two different sources:
1. Tags that are present in the audio files
2. Acoustic similarities of the audio files, using a trained [Self-Organizing Map](https://en.wikipedia.org/wiki/Self-organizing_map)
__Notes on the self-organizing map__:
* training the map requires significant computation time on large collections (ex: half an hour for 40k tracks)
* audio acoustic data is pulled from [AcousticBrainz](https://acousticbrainz.org/). Therefore your audio files _must_ contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier).
* to enable the audio similarity source, you have to enable it first in the settings panel.
## Subsonic API
The API version implemented is 1.12.0 and has been tested on _Android_ using the official application, _Ultrasonic_ and _DSub_.
@@ -80,7 +85,7 @@ __Notes__:
* a C++17 compiler is needed
* ffmpeg version 4 minimum is required
```sh
apt-get install g++ autoconf automake libboost-filesystem-dev libboost-system-dev libavutil-dev libavformat-dev libmagick++-dev libpstreams-dev libconfig++-dev libpstreams-dev ffmpeg libtag1-dev
apt-get install g++ cmake libboost-system-dev libavutil-dev libavformat-dev libmagick++-dev libconfig++-dev libpstreams-dev ffmpeg libtag1-dev
```
You also need _Wt4_, which is not packaged yet on _Debian_. See [installation instructions](https://www.webtoolkit.eu/wt/doc/reference/html/InstallationUnix.html).</br>
@@ -92,16 +97,10 @@ Get the latest stable release and build it:
```sh
git clone https://github.com/epoupon/lms.git lms
cd lms
autoreconf -vfi
mkdir build
cd build
../configure --prefix=/usr
cmake .. -DCMAKE_BUILD_TYPE=Release
```
configure will report any missing library.
__Note__: in order to customize the installation directories, you can use the following options of the `configure` script:
* _--prefix_ (defaults to `/usr/local`).
* _--bindir_ (defaults to `$PREFIX/bin`).
__Note__: in order to customize the installation directory, you can use the _-DCMAKE_INSTALL_PREFIX_ option (defaults to `/usr/local`).
```sh
make