More > JRiver Media Center 22 for Linux
MC22 for Linux crashing on Raspberry Pi 3
blgentry:
I pretty much only use EOS. So EOS is the "cause".
Brian.
bob:
Doesn't seem to be a generic linux thing, I can't get it to happen with EOS and my MC22 linux install.
bob:
How about Thumbnailing?
I tried EOS with a Mac and it had an interesting hesitation while playing back when I scrolled the EOS album cover view screen up and down.
You could look in Options to see what the thumbnailing priority is set to and make it the lowest setting.
Others have dealt with running out of memory while thumbnailing by pre-generating all of the thumbnails in MC while it's not being used for playback.
blgentry:
I was about to tell you that all my thumbnails were already built. So I went to check. Only 10% are built! I set thumbnail generation to low priority and have clicked the button to generate all thumbnails it's running now.
I'm using the technique of copying my MC library from my normal MC computer, over to the Pi, on an external hard drive. I'm also shipping over a library backup file with it, then restoring that library backup into MC on the Pi. Each time I do this, I guess I need to rebuild all thumbnails.
It's probably NOT a coincidence that I just refreshed the library on the Pi using the above method: I copied the new media onto the external drive with a backup file, then restored that backup into MC. I apparently did not rebuild thumbnails when I was doing restoring the MC backup. This might explain it.
It might also explain why EOS has been very sporadic about showing album thumbnails. They aren't all built!
I'll report back after some period of stability, or upon first crash.
Thanks Bob!
Brian.
Hendrik:
The relatively low memory on the Pis is really an annoying problem. As little memory as MC in normal operation uses, once you start processing media files there is no real way to tell how much its going to need - especially when a web client spins off a bunch of thumb requests at the same time.
I do hope future small boards like that come with more memory.
There are alternatives to Raspberry Pi of course, but they are often not as well supported and hard to get going.
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