libjxl
Prusa-Firmware-Buddy
libjxl | Prusa-Firmware-Buddy | |
---|---|---|
85 | 116 | |
2,236 | 1,035 | |
28.2% | 4.7% | |
9.8 | 9.9 | |
about 19 hours ago | 3 days ago | |
C++ | C | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
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
Prusa-Firmware-Buddy
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JPEG XL and the Pareto Front
>I don't believe QOI will ever have any sort of real-world practical use
Prusa (the 3d printer maker) seems to think otherwise: https://github.com/prusa3d/Prusa-Firmware-Buddy/releases/tag...
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Why Prusa is floundering, and how you can avoid their fate
https://github.com/prusa3d/Prusa-Firmware-Buddy
Not open source? Odd, as I just read it's source code. Are you referring to licensing, ability to modify and compile yourself, or some else?
- Unable to Update Prusa Mini+ Firmware
- Is Bambu Labs worth it?
- 5.1.0-alpha1 Firmware for Original Prusa MINI
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Random Movement in X,Y axis in middle of print after firmware upgrade to 5.0 RC
Did you use Prusa Link/Connect to upload the gcode? If so it looks similar to an issue reported by others where the gcode is getting corrupted. You can try putting files on the USB manually and printing from that as a temporary fix. May be helpful to take a look at this reddit thread or this github issue.
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Prusa Connect/Link Corrupting Gcode on Network Upload
I made the issue here: https://github.com/prusa3d/Prusa-Firmware-Buddy/issues/3156
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Thomas Sanladerer: "Does the Prusa MK4 have what it takes?" [Youtube]
The github issue on it is worth reading to see just how poorly Prusa have handles this: https://github.com/prusa3d/Prusa-Firmware-Buddy/issues/677
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Why do I get this message when I try to print with input shaper? I've updated my firmware and using the latest slicer.
Is 4.7 just the latest stable and I instead need this one?
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Prusa Development Schedule =D
Wow 100%. This actually pretty bad bug has been open for months with really no input from PRUSA other than “oh, wow that sucks. We’ll …uh… look into it.” https://github.com/prusa3d/Prusa-Firmware-Buddy/issues/2997
What are some alternatives?
qoi - The “Quite OK Image Format” for fast, lossless image compression
octo4a - Use your old Android device as an OctoPrint server.
Android-Image-Filter - some android image filters
Buddy-board-MINI-PCB
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
Prusa-Firmware - Firmware for Original Prusa i3 3D printer by PrusaResearch
libavif - libavif - Library for encoding and decoding .avif files
Awesome-Embedded - A curated list of awesome embedded programming.
jxl-migrate - A simple Python script to migrate images to the JPEG XL (JXL) format
nuttx - Apache NuttX is a mature, real-time embedded operating system (RTOS)
squoosh - Make images smaller using best-in-class codecs, right in the browser.
Original-Prusa-MINI - Original Prusa MINI 3D printer hardware