![]() The CPU is definitely ramping up and down sometimes as high as 99% so be prepared to be patient and plan on your CPU getting a workout while this thing is running. Mine is running now for 12 hours and it's done 500 albums. ![]() So make sure you're using the app.tv.web view to watch the progress bar.Ĥ) It takes a loong time to first run. You can't see it in the player apps or in the regular local web app view of your server. And it may take a day or two of compute time and the feature won't start working until it's completely finished processing your library! so you'll want to expand your scheduled task time to as long as you can (I've expanded my to run for 23 hours) while getting the initial processing done.ģ)You can only see the progress in web app view. It's not on by default.Ģ)it will only run the ML model processing during scheduled task time and hours. Limiter is disabled on both machines conversion bit rate is set to 128, but is irrelevant since this is on my lan. įor Plex server users looking to test out this new feature a couple of callouts:ġ) Read the blog post on how to turn it on for each music library after you upgrade to the latest version 1.24.0. Remote control is set to on for both machines as is reconnect on startup. Here's the link to the announcement as well. May take a few days to complete on my ~1600 albums as the ML model is pretty resource intensive to run. It's still processing on my plex server at the moment. Plexamp is the first player to take advantage of the features. Plex just introduced AI driven "Sonic Similarity" music characterization in their latest server update.
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