FWIW I have jellyfin as well already, it’s also on the machine serving the nfs shares. I would expect streaming over lan to always be a lighter load then sending a transcoding request through the internet and back to the machine four feet away, but I could be wrong. I am always curious though what people are using as jellyfin clients for their TVs. How are you actually getting jellyfin into your living room? I had hoped to use a dedicated pi4, and I’ve already gone down the route of trying to boot to a light desktop with an auto loading chrome kiosk window to my jellyfin server, but those results were less than ideal too.
Gutless2615
joined 1 year ago
I don’t, super helpful. So I’m guessing this is a pi bottleneck. Just ordered the Vera V so we’ll see! Fingers crossed for happy toddler.
Thanks! Super helpful data point. I don’t have the same buffering issues streaming the same video to my desktop over nfs, so I’m leaning towards it being a pi4 bottleneck. Just plopped down for a Vera V so fingers crossed that’s the issue.
Right? The absolute gall.
Oh brilliant. Thanks. Yes. This only tends to happen on larger files, 5gb mkvs or multi audio track deals etc. I was also concerned it’s just a pi4 bottleneck, but that’s fixable too with more hardware. Just need to figure out what to get.
Right. The architecture we’re talking about right now is a NFS hosted share going to a Kodi instance, not a jellyfin instance sharing to Kodi. Kodi does not transcode. It handles things similarly to VLC afaik.
It’s not doing hardware transcoding afaik. This is the equivalent of running VLC, right? It’s kodi we’re not talking about jellyfin transcoding.
Appreciate the solicited technical advice, less so the unsolicited parenting advice, thanks! You’ll be shocked to hear that hyperbole exists, I’m sure. I’m just trying to watch the Aristocats with the kiddo without them wondering why the screen stops mid song, stranger.
No no transcoding happening on kodi, it’s just playing it straight over the lan. That said I do have jellyfin set up on a machine that can handle transcoding for a number of clients. I gave considered switching to Kodi +Jellyfin and seeing if that’s better.
Taking other people’s creative works to create your own productive work is allowed if you are making a fair use. There’s a very good argument that use such as training a model on a work would be a fair use under the current test; being a transformative use, that replicates practically no actual part of the original piece in the finished work, that (arguably) does not serve as a replacement for that specific piece in the market.
Fair use is the cornerstone of remix art, of fan art, of huge swathes of musical genres. What we are witnessing is the birth of a new technique based on remixing and unfortunately this time around people are convinced that fighting on the side of big copyright is somehow the good thing for artists.
Thanks, really appreciate the thoughtful response. I have an intel n100 NUC actually on the network. It used to be the jellyfin machine but has shifted to other duties. I probably should have tried to throw that in and reconfigure things but I just went with the OSMC Vero box which should tick all the necessary hardware boxes to at least free that from being the problem. Bonus: I get to add the pi4 back to the homelab stack.