wallpapers
libjxl
wallpapers | libjxl | |
---|---|---|
11 | 85 | |
162 | 2,236 | |
0.0% | 29.1% | |
0.0 | 9.8 | |
about 2 years ago | 5 days ago | |
Makefile | C++ | |
- | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
wallpapers
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Fireplace Screensaver for PopOS
This might help.
- I reinstalled Ubuntu after 2 years and it's perfect now. I'm so happy with my choice.
- New work laptop
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I'm looking for this wallpaper. Can anyone send me a downloadable link please?
It's here, btw all of the default wallpapers are inside original folder of the repo: pop-os/wallpapers
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Where was pictures for PopOS wallpapers taken?
You can find more info about the source of the wallpapers (including links to the Unsplash pages) at https://github.com/pop-os/wallpapers
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My T420 got some love with a new FHD screen, I7-2820QM CPU, 7260HMW WiFi/Bluetooth ...
Sure: https://github.com/pop-os/wallpapers/blob/master/original/nick-nazzaro-jungle-red.png
- T450s on duty! Software Engineering Student.
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Almost entirely stock Pop/GNOME but it's what I like
It came bundled with the latest Pop LTS. If you’re not on Pop, you can find it under “spacex-“ here: https://github.com/pop-os/wallpapers
- Did a little reskin for the Pop OS Wallpaper! What do you guys think ?
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My default Pop!_OS setup. (XPS9310 connected to a Dell U3818DW)
It is part of the default Pop!_OS install and available via github: https://github.com/pop-os/wallpapers/blob/master/original/kate-hazen-pop-m3lvin.png
libjxl
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JPEG XL and Google's War Against It
> Regarding JPEG XL's mobile support, it makes sense it would see limited development if the company that manages one of the biggest mobile players has been the greatest restriction on their success. The lack of support also disincentivises manufacturers to prioritise support.
There was literally no involvement from any hardware vendor in the standardization of JPEG XL. It went from a Call for Proposals in Sept 2018 to Committee Draft in Aug 2019 with very little time for industry feedback. Contrast this with AV1 which had involvement from hardware vendors Intel, NVIDIA, Arm, AMD, Broadcom, Amlogic from the beginning as well as companies who ship media on hardware at scale such as Cisco, Netflix, Samsung and yes Google. These companies reviewed and provided significant feedback on the format that made it suitable for hardware implementation.
https://news.ycombinator.com/threads?id=JyrkiAlakuijala is a lead on the project and a Google employee, and active in JPEG XL development https://github.com/libjxl/libjxl/commits?author=jyrkialakuij...
- JPEG XL Reference Implementation
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JPEG XL and the Pareto Front
https://github.com/libjxl/libjxl/blob/main/doc/format_overvi... is a pretty detailed but good overview. The highlights are variable size DCT (up to 128x128), ANS entropy prediction, and chroma from luminance prediction. https://github.com/libjxl/libjxl/blob/main/doc/encode_effort... also gives a good breakdown of features by effort level.
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Compressing Text into Images
For JPEG XL, refer to its format overview [1]. In short its lossless mode uses a combination of multiple techniques: the rANS coding with an alias table, LZ77, reversible color transforms, a general vector quantization that subsumes palettes, a modified Haar transform and a learnable meta-adaptive decision tree for context modelling.
One good thing about JPEG XL is that its lossy mode also largely uses the same tool, with a major addition of specialized quantization and context modelling for low- and high-frequenty components.
[1] https://github.com/libjxl/libjxl/blob/main/doc/format_overvi...
- JPEG XL v0.9.0 Released
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Stripping Metadata
The cjxl source is here. If you spot any reason why -x strip=exif may not work, tell me.
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Www Which WASM Works
The problem is that the instructions for actually running the WASM file are not that clear... the docs the author mentions shows how to compile to WASM, which is easy enough, but then here's the instructions to make that actually work in the browser:
https://github.com/libjxl/libjxl/blob/main/tools/wasm_demo/R...
Yeah, you need some mysterious Python script, a JS service worker at runtime, choose whether you want the WASM or WASM_SIMD target, use a browser that supports Threads and SIMD if you chose that, make sure to serve everything with the appropriate custom HTTP headers... just reading that, I can see that to get this stuff working on non-browser WASM targets would likely require expertise in WASM, which is the point of the OP. WASM's UX is just not there yet.
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First automatic JPEG-XL cloud service
https://github.com/libjxl/libjxl#usage
> Specifically for JPEG files, the default cjxl behavior is to apply lossless recompression and the default djxl behavior is to reconstruct the original JPEG file (when the extension of the output file is .jpg).
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Why "sudo make install"?
I mean compiling a bleeding edge kicad, inkscape or jpeg-xl is easy. But will probably trash your system if you already have an older version installed.
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XYB JPEG: Perceptual Color Encoding Tested
But you look at your image viewer that could have the lossless indicator? (and there is an issue open to add this indicator to the jxl files)
https://github.com/libjxl/libjxl/issues/432
What are some alternatives?
splash-cli - A simple, CLI to download Unsplash wallpapers. Nothing fancy — it just works.
qoi - The “Quite OK Image Format” for fast, lossless image compression
filmulator-gui - Filmulator --- Simplified raw editing with the power of film
Android-Image-Filter - some android image filters
unsplash-js - 🤖 Official JavaScript wrapper for the Unsplash API
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
libavif - libavif - Library for encoding and decoding .avif files
jxl-migrate - A simple Python script to migrate images to the JPEG XL (JXL) format
squoosh - Make images smaller using best-in-class codecs, right in the browser.
fastapprox - Approximate and vectorized versions of common mathematical functions
MegaPixel - GUI for avif, webp, jpegxl, mozjpg and ect
nixpkgs - Nix Packages collection & NixOS