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You should ask @brucethemoose@lemmy.world. He seems to know all about this stuff.
github.com
I'm not the developer, but I thought I'd share this with the community. A pretty cool tool which reads Lidarr data and asks Spotify's API to return artist recommendations based on that data.
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I was thinking about setting it up. What clients do you recommend for iOS and tvOS?
Swiftfin doesn't do audio for some reason and VLC doesn't reliably recognize UPmP.
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There’s a spambot posting referral links so I made it a shitpost.
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I don’t know what any of this means. Can someone translate?
Controls how "selective" the algorithm is when boosting superblocks, based on their low/high 8x8 variance ratio. A value of 1 is the least selective, and will readily boost a superblock if only 1/8th of the superblock is low variance. Conversely, a value of 8 will only boost if the entiresuperblock is low variance. Lower values increase bitrate. The default value is 6.
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Can someone explain the differences of the psy fork over svt? What are the use cases for each?
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I don’t think it is. Sorry. The benefit of doing this is that if you have to reinstall Jellyfin or move your media library around at a later date, you’ll never have to worry about mis-identification in the future.
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You want The Movie Database or The TV Database. Not IMDB. Once you renamed your folders and files properly, just rescan your library.
In order to help with identifying a series, Jellyfin can make use of media provider identifiers. This can be specified in your show's folder name, for example: Series Name (2018) [tmdbid-65567] or Series Name (2018) [tvdbid-65567] (imdbid is not supported for shows)
Source: https://jellyfin.org/docs/general/server/media/shows/
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Open WebUI now has a docker environment variable so you can, by default, turn off the login page. You just declare it when you’re spinning up the container and you’re good to go.
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I'm sorry if I offended. I can't code or understand existing code and have always felt that technical people code. I guess I should expand my definition. Again, sorry that my words felt like a punch in the gut... wasn't my intention at all.
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I use my phone all the time, but I just use a wireguard VPN to tunnel into my home container of Open WebUI. Then I can interact with my desktop machine using a NVIDIA gpu. I'm currently testing mistral-nemo. It's pretty great but it gets a bit verbose sometimes.
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This made me smile. Thank you. The grass is always greener and I sometimes daydream of working in IT instead of healthcare. Maybe someday.
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Yeah, I have an NVDIA GPU and it is magic. The best part is when you are using Ollama, open a second terminal window and enter the command, watch -n 0.5 nvidia-smi and you can see your GPU usage go up and down in real-time as you ask the GPT questions. Pretty cool.
Hopefully they get the ARC folks up and running soon.
I don't consider myself very technical. I've never taken a computer science course and don't know python. I've learned some things like Linux, the command line, docker and networking/pfSense because I value my privacy. My point is that anyone can do this, even if you aren't technical. I tried both [LM Studio](https://lmstudio.ai/) and Ollama. I prefer [Ollama](https://ollama.com/). Then you download models and use them to have your own private, personal GPT. I access it both on my local machine through the command line but I also installed [Open WebUI](https://github.com/open-webui/open-webui) in a docker container so I can access it on any device on my local network (I don't expose services to the internet). Having a private ai/gpt is pretty cool. You can download and test new models. And it is private. Yes, there are ethical concerns about how the model got the training. I'm not minimizing those concerns. But if you want your own AI/GPT assistant, give it a try. I set it up in a couple of hours, and as I said... I'm not even that technical.
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Got it. Thanks. I'll try that. It won't wipe my existing data, right?
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I don't do anything special. When I connect the device to my machine by USB, it is recognized and mounts itself. Once that happens, it becomes connectable via CLI and GUI. Very much like what happens in a windows or mac environment.
I have a [Qnap DAS](https://www.qnap.com/en/product/tr-004). It is set up in a raid5 configuration. The problem is that each time I reboot my machine (ubuntu 24.04 LTS), the path of the DAS will auto-increment up by one. For example the path will automatically go from `media/raid57/medialib` to `media/raid58/medialib`. That means I need to manually redo all file paths and then re-scan my entire media library for Jellyfin, each time I reboot my machine (which is like 2-3 times a month). It is getting pretty annoying and I'm wondering if someone knows why this happens and what I can do to fix it.
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You sound like my dad
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It depends on the state. If it’s a purple state or a state where they do ranked-choice voting, then this is right and a vote for Biden is helpful.
If OP is in a solid red state, he can vote for any alternative candidate and it won’t matter which alt candidate he chooses since Trump will already have it locked up.
The only asterisk is if abortion is on the ballot as a statewide measure. That can take a red state (like Kentucky) and turn out enough voters to temporarily make it blue.
I use yt-dlp to download and the [YT metadata plug-in](https://github.com/ankenyr/jellyfin-youtube-metadata-plugin) for metadata. But idk how to actually organize the actual files? - Do you create a separate library? - Do you put it in the shows library? - How do you separate videos by channel? - Is there a way to auto-download artwork for each channel?
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Plot twist: they only interviewed people in Scandinavian countries between the months of June and July.
I live alone and read books. I mostly read them at home but I'd like to go out and read. The thing is I have really bad adhd so it involves not just my Kindle but I also listen to the audiobook at the same time or I can't stay focused on the book. I just listen to it on my phone with earbuds so it's hopefully not a huge deal but it can’t be too loud or chaotic. Where can I go out and "read" besides a coffee shop or the library. The library isn't convenient and it's a little weird going to coffee shops over and over again. I live in a big city so I'm sure there are other places I just don't know what they are. Any suggestions?
Most shows that have Dolby Atmos don’t really do a great job of leveraging its capabilities but some do an amazing job. Which movies/shows do you think have scenes where Dolby Atmos really adds to your viewing experience?
I’m thinking something similar to Yattee / Invidious. iOS is preferable.
I’m curious what plugins people like the most and find the most useful.
Asking because I got it and I'm not really sure what to do. So, I wanted to see what strangers on the internet are going to do. I don't have an existing e-trade account and I'm not super excited about creating one for the singular purpose of this IPO. But, if I can quickly make a couple of bucks and then cash out, that might be worth it. Are there rules to when you cash out if you get in at the IPO price? Could I buy-in at the $30-ish/share price and couple that with a trailing stop-loss order? Maybe this isn't the right Lemmy community to ask this, but I figured I'd give it a shot.
Any free options available?
I tried fre:ac but got an error from cddb when trying to connect to the database. Looking to rip to both FLAC and to Opus. Ideally with the latest codec updates. Any recommendations?
It's not on every instance, so Libreddit still functions, but this seems to happen more and more on different instances. Then will get fixed and then fail again later the next day or week. Is Reddit's API literally changing the structure of the data payload randomly? Does anyone know why this is happening?
I currently pay for Netflix 4K. But I want to watch the content in 4K on my laptop and Netflix won't let me do that since I'm using Linux/Firefox. I also have a Jellyfin server and rip my BluRays, so I'm used to ripping my own media to stream on my local network. I'd like to rip some of the newer "planet earth" style documentaries from Netflix which is presented in really beautiful 4k video. Is there a guide somewhere which will walk me though how to do this? I imagine I'll have to buy some additional gear to do this, but I'm not averse to that. If anyone can point me the right direction, I'd be grateful.
Running Docker-ized qBittorrent v4.6.0. 64-bit on Ubuntu 23.10. Seeding 29 torrents, Leeching 0 torrents. According to Glances, it's using 18 Gigs of memory which seems high. I just wonder if maybe I have a setting somewhere that is problematic? Or is this typical behavior?
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