Lidarr Import List might interest you. You can say connect to Spotify’s playlists for top hits and have it auto add the albums to your library. Then you can use metadata on the music for smart playlists.
Lidarr Import List might interest you. You can say connect to Spotify’s playlists for top hits and have it auto add the albums to your library. Then you can use metadata on the music for smart playlists.
Other notable resources:
Hardware accelerated Machine learning requirements
Hardware accelerated Transcoding for videos
You’ll need a stronger CPU (or maybe multiple since you can run machine learning multiple machines) handle the load if not using a supported discrete GPU. Also for transcoding videos if you want to do that you’ll have to look at compatibility of the CPU with what it can encode/decode and what format you want to store.
That being said , it barely use CPU resources with immich 99% of the time with the exception when media is backing up to it.
The client sets up its transcoding profile (like what it supports for direct play, etc for auto transcoding) or the client has to specifically request a different quality. Findroid has had PRs for the second one and I did one of them updating based off the older PRs.
This is because it doesnt support transcoding. It does direct streams only.
There are forejo runners and they seem compatible with a bunch of github actions. I created one that builds a docker image and publishes it on the repo.
Well initial setup was definitely interesting. I didn’t want to expose 8090 and wanted it behind a web proxy and I finally got that working and actually received my first remote crawl overnight. I had to change to 80/443 internally so it would map correctly for p2p connections, public port setting doesn’t apparently cut it. I kinda dislike the whole setup with it micromanaging CPU load, but otherwise it doesn’t seem atrocious for a new peer at least, I guess this and the web proxy problems are likely awkward due to the age of the software.
Lidarr to download music, has Spotify playlist integration, only problem is it pulls by alblum not by song.
LMS to play music, it supports selecting tags to use.
Picard to tag the music. Kinda optional, but using plugins it can pull genre, moods, and BPM, which I liked using to make a smart playlist to get songs I like the sound of without 100% hand picking out of thousands.
There also seems to be a lot of settings so perhaps they had it misconfigured. It also is Java so I wouldn’t put it past it for such a monolith of a Java program to require so much to be performant. Perhaps I’ll try a cluster of them then and see how it fares.
Besides yacy, there is a project to build decentralized apps with search listed as an example. Its very early and nothing is built off of it yet though.
I really want to use this, but from what I read it basically requires a minimum of 20-30GB of RAM to be performant. Also the documentation appears to be a mess and highly outdated. I’d also want to cluster it internally and connect with outside peers still which seems possible, but with the large resource requirement not as feasible with my setup.
The only time I use caddy is to serve static files… I then put a nginx proxy in front of it to expose it lol
There exist tools for this from takeout archives already, its how I migrated to immich.
I ordered 5 of these when I saw they are finally available. I probably won’t use them until pikvm is ported to it, there is a lot of talk about the firmware being closed source currently.
It just says you are unlicensed on the webapp. They also said no features will every be locked behind it.
There is a server license offered with unlimited users for $100.
Honestly I believe it. I had a VP of sales / marketing overriding requirements making them more difficult from the CEO after getting screamed at by the CEO who wanted the product (bono project) to be quick and easy for initial release.
He also ordered IT garbage for a site once (consumer PCs running Windows not server edition)
And to top it all off went behind supervisors backs in engineering departments asking for daily spreadsheets trackong their time because "if you can go to the bathroom you have time for this.
All leadership was toxic though like the CEO screaming at him lol.
Are you tunneling for just the 5g connection to expose your services or just tunneling everything?
From my limited Raspberry PI experience I believe their single core performance isn’t great and synapse at least is single threaded. You’d have to use workers to utilize the other cores. If you have multiple pi devices you could also utilize workers on different pis and hosting postgres on one. Using only one, it would likely be quite slow like others noted.
Reverse proxy and letsencrypt. Doing custom certificates is more difficult and you would need to install and trust the certificate on all devices.
Who needs to do that when they are loan sharking the countries