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Cake day: July 12th, 2023

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  • I imagine the largest mobile phone operating system on the planet has a few more downloads than one of the several available package managers for the comparatively very small desktop Linux audience, yeah. This is the Linux community, not the Android or Google community, so I’m not sure what you’re yapping away about or why.

    edit: i wanted to know how many devices run android and according to this it’s three billion so you’re wrong anyway lmao


  • paris@lemmy.blahaj.zonetoLinux@lemmy.mlDeduplication tool
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    3 months ago

    I was using Radarr/Sonarr to download files via qBittorrent and then hardlink them to an organized directory for Jellyfin, but I set up my container volume mappings incorrectly and it was only copying the files over, not hardlinking them. When I realized this, I fixed the volume mappings and ended up using fclones to deduplicate the existing files and it was amazing. It did exactly what I needed it to and it did it fast. Highly recommend fclones.

    I’ve used it on Windows as well, but I’ve had much more trouble there since I like to write the output to a file first to double check it before catting the information back into fclones to actually deduplicate the files it found. I think running everything as admin works but I don’t remember.






  • In case nobody has mentioned Asahi Linux yet, I’ll bring it up. I haven’t used it, but I have a friend who does.

    Asahi Linux is a project and community with the goal of porting Linux to Apple Silicon Macs, starting with the 2020 M1 Mac Mini, MacBook Air, and MacBook Pro.

    Our goal is not just to make Linux run on these machines but to polish it to the point where it can be used as a daily OS. Doing this requires a tremendous amount of work, as Apple Silicon is an entirely undocumented platform.

    Asahi Linux is developed by a thriving community of free and open source software developers.

    I believe they have a Fedora-based distro that should be solid for daily use, but again I haven’t used this myself.





  • I’m not sure if the piracy megathread or FMHY megathread cover the *arr stack specifically, but they have lots of information so I’m recommending them broadly for anyone wanting to ingest information about piracy.

    Regarding what the arr stack even is:

    Tldr, you set up a list of public and/or private trackers in Prowlarr or Jackett. In Radarr and Sonnar you set up movies and shows respectively that you want to keep track of. Rad/Sonarr check those trackers for releases for your tracked media matching criteria (like resolution, size, language, etc).

    When it finds a matching release, it sends the torrent file or magnet link to your torrent client to download. When it finishes, Rad/Sonarr hardlink or copy the file to a library location and organize/name them according to rules you set.

    You can point Jellyfin or Plex to that library location and all the media will be organized so it can easily figure out what media is there and grab metadata for it (cover images, description, ratings, etc). Then you can watch that media through Jellyfin/Plex or an app that plugs into them.

    The *arrs also work with usenet if you’d prefer that over or in addition to torrenting with a vpn.


  • We used the 100 AI and 100 human White faces (half male, half female) from Nightingale and Farid. The AI faces were generated using StyleGAN2. The human faces were selected from the Flickr-Faces-HQ Dataset to match each of the AI faces as closely as possible (e.g., same gender, posture, and expression). All stimuli had blurred or mostly plain backgrounds, and AI faces were screened to ensure they had no obvious rendering artifacts (e.g., no extra faces in background). Screening for artifacts mimics how real-world users screen AI faces, either as scientists or for public use, and therefore captures the type and range of stimuli that appear online. Participants were asked to resize their screen so that stimuli had a visual angle of 12° wide × 12° high at ~50 cm viewing distance.