Hi Craig,
thanks a lot for driving this plugin and your work on Material and
everything else in the Squeezebox area.
I used an earlier version of you music-similarity plugin, before you
made it public (via Github - I was interested in this "mysterious new
project...". So far that version worked very well (I only used Musly not
Essentia). I will try this new version of your plugin when I will have
time to "fiddle" with my system, also trying Essentia with my Raspberry
Pi setup.
Best,
frankd
cpd73 wrote:
> I originally started by creating a DSTM mixer using Musly (this thread),
> tried with Essentia, and am now trying to combine these two - hence
> 'music-similarity'. I'm not 100% sure if combining Musly and Essentia
> makes a massive difference (althogh it does to analysis time, what takes
> Musly 1hr takes Essentia about 17),so was going to experiment before any
> releases. However, it always helps to have someone else's
> experience/thoughts on the subject...
>
> The music-similarity repo already has pre-built copies of Musly for
> Fedora and Raspbian (as these are what I use). These are built from my
> fork of Musly, where I have made some (minor) changes (I merged in some
> branches, and increased the extract length). Therefore you should not
> need to build Musly. The repo also contains the Essentia binary taken
> from Roland0's LMS Essentia page. This binary works fine under Fedora,
> and probably other Linux distros.
>
> I perform my music analysis on a Fedora laptop, then copy the DB and
> jukebox file to a Pi4 where my LMS is installed. Never tried analysis on
> the Pi, but I would imagine the analysis would be very slow (Pi only has
> 4 cores, whereas my laptop has 8). The code does not need to be
> installed system wide, you can run it from wherever you cloned the git
> repo. (I assume you cloned the repo, as no release has been made).
> Hopefully the README on the github page provides enough info to allow
> you to modify config.json for your setup. The following config should be
> enough for the analysis machine:
>
> >
Code:
--------------------
> >
> {
> "musly":{
> "lib":"lib/x86-64/fedora/libmusly.so",
> "extractlen":120,
> "extractstart":-210
> },
> "essentia":{
> "enabled":true,
>
"extractor":"essentia-analyzer/bin/x86-64/essentia_streaming_extractor_music",
> },
> "paths":{
> "db":"/home/user/MusicSimilarity/",
> "local":"/home/user/Music/",
> "lms":"/home/user/Music/"
> },
> "lmsdb":"/mnt/pi4/LMS/Cache/library.db",
> "threads":9
> }
>
--------------------
> >
>
> > > >
- 'extractlen' defines the length (in seconds) that Musly will
> analyse from the track
- 'extractstart' specifies where the analysis starts. If negative,
> then the anlaysis starts in the middle but no later than the value
> set. e.g. extractlen = 30, extractstart = -60, track length = 5 mins
> then Musly will analyse 30 seconds of music starting at 1 minute. If
> track length was 2 minutes, then it will analyse 30 seconds starting
> after 45 seconds.
- 'paths.db' specifies where the output database
> (music-similarity.db) and jukebox (music-similarity.jukebox) will be
> written
- 'paths.local' specifies where your music is stored. When saving
> paths to the database, this part will be removed. e.g.
> 'paths.local=/home/user/Music/', music
> file='/home/user/Music/ABBA/Dancing Queen.m4a', then 'ABBA/Dancing
> Queen.m4a' will be stored as the path in the database. This allows
> the analysis to be run on a different machine.
- 'paths.lms' is the path to your music as the LMS server sees it.
> This is only required for anlysis if you have CUE files.
- 'lmsdb' should contain the path to LMS's library.db file. Again,
> this is only required if you have CUE files.
> > >
>
> On the machine that will be used to create similarity mixes (in my
> case my Pi4) the config is even simpler:
>
> >
Code:
--------------------
> >
> {
> "musly":{
> "lib":"lib/armv7l/raspbian-buster/libmusly.so"
> },
> "essentia":{
> "enabled":true
> },
> "paths":{
> "db":"/home/pi/music-similarity/"
> },
>
--------------------
> >
>
> 'music-similarity.service' is a Linux systemd service file that can be
> use to automatically start the music-similarity service on a Pi, etc.
> To use this
>
> > >
- Edit 'music-similarity.service' so that paths are correct for
> your system
- Copy 'music-similarity.service' to /etc/systemd/system
- sudo systemctl daemon-reload
- sudo systemcrl enable music-similarity
- sudo systemctl start music-similarity
> > >
>
> To use this with LMS you need to install
> https://github.com/CDrummond/lms-musicsimilarity. This should be done
> by cloning the repo and manually installing, as the current release
> versions are out of date.
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