libjxl
DirectXMath
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libjxl | DirectXMath | |
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83 | 13 | |
1,585 | 1,477 | |
10.0% | 2.0% | |
9.8 | 6.8 | |
2 days ago | 24 days ago | |
C++ | C++ | |
BSD 3-clause "New" or "Revised" License | MIT License |
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libjxl
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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.
They're available at https://github.com/libjxl/libjxl/releases/ for linux and windows.
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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...
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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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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)
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Heyo Everyone! - is there a win or mac software to batch convert imgs to avif?
You might want to use libjxl directly, e.g. for visually lossless images: cjxl --effort 9 --brotli_effort 11 --distance 1.0 --num_threads (nproc) --lossless_jpeg 0 input.png output.jxl on linux (if you're on windows/mac, just replace the (nproc) with the number of cpu threads you have, e.g. --num_threads 16).
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Why browsers will probably skip JPEG-XL (IMO).
One thing that doesn't really get mentioned is that libjxl has official .deb packages for Debian and Ubuntu users. You can just download the appropriate archive from the libjxl releases section (packages are available for Ubuntu 18.04, 20.04, and 22.04), do a sudo dpkg -i *.deb, and now your file manager has support for .jxl thumbnailing. And at least my distro's default image viewer (xviewer) gained viewing support just from installing the debs.
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FSF Slams Google over Dropping JPEG-XL in Chrome
One of the most interesting things to me is that JPEG-XL is under an open Patent License, unlike the original JPEG.
https://en.wikipedia.org/wiki/JPEG_XL
Also, Google contributed quite a bit to it's development. As the patent grants show:
https://github.com/ImageMagick/jpeg-xl/blob/main/PATENTS
https://github.com/libjxl/libjxl/blob/main/PATENTS
Microsoft seemed to have gotten a patent on part of it's implementation (which Google also tried to get). Not sure if Google will pay to invalidate that patent, but I have a feeling they are more likely to defend AVIF.
https://www.theregister.com/2022/02/17/microsoft_ans_patent/
Google's control is a little concerning, but I do feel there are bigger fish to fry then choosing between two free formats. Like H.264 and H.265 patents.
DirectXMath
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Vector math library benchmarks (C++)
For those unfamiliar, like I was, DXM is DirectXMath.
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Learning DirectX 12 in 2023
Alongside MiniEngine, you’ll want to look into the DirectX Toolkit. This is a set of utilities by Microsoft that simplify graphics and game development. It contains libraries like DirectXMesh for parsing and optimizing meshes for DX12, or DirectXMath which handles 3D math operations like the OpenGL library glm. It also has utilities for gamepad input or sprite fonts. You can see a list of the headers here to get an idea of the features. You’ll definitely want to include this in your project if you don’t want to think about a lot of these solved problems (and don’t have to worry about cross-platform support).
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Optimizing compilers reload vector constants needlessly
Bad news. For SIMD there are not cross-platform intrinsics. Intel intrinsics map directly to SSE/AVX instructions and ARM intrinsics map directly to NEON instructions.
For cross-platform, your best bet is probably https://github.com/VcDevel/std-simd
There's https://eigen.tuxfamily.org/index.php?title=Main_Page But, it's tremendously complicated for anything other than large-scale linear algebra.
And, there's https://github.com/microsoft/DirectXMath But, it has obvious biases :P
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MATHRIL - Custom math library for game programming
I am not in gamedev, but work with 3D graphics, we use DirectX 11, so DirectXMath was a natural choice, it is header only, it supports SIMD instructions (SSE, AVX, NEON etc.), it can even be used on Linux (has no dependence on Windows). It of course just one choice: https://github.com/Microsoft/DirectXMath.
- When i had to look up what a Quaternion is
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Eigen: A C++ template library for linear algebra
I never really used GLM, but Eigen was substantially slower than DirectXMath https://github.com/microsoft/DirectXMath for these things. Despite the name, 99% of that library is OS agnostic, only a few small pieces (like projection matrix formula) are specific to Direct3D. When enabled with corresponding macros, inline functions from that library normally compile into pretty efficient manually vectorized SSE, AVX or NEON code.
The only major issue, DirectXMath doesn’t support FP64 precision.
> when your entities are positions, velocities, etc.
For use cases where FP32 precision is enough, I usually use DirectXMath library https://github.com/Microsoft/DirectXMath for that. That thing is cross-platform in practice. Even when building things for ARM Linux, it’s easy to copy-paste required pieces, NEON support is there.
When I need FP64 precision on PCs, I usually proceed without libraries, using AVX intrinsics.
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maths - templated c++ linear algebra library with vector swizzling, intersection tests and useful functions for games and graphics dev... includes live webgl/wasm demo ?
If you’re the author, consider comparisons with the industry standards, glm and DirectXMath, which both ensure easy interoperability with the two graphics APIs.
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Use of BLAS vs direct SIMD for linear algebra library operations?
For graphics DX math is a very good library.
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Speeding Up `Atan2f` by 50x
I wonder how does it compare with Microsoft’s implementation, there: https://github.com/microsoft/DirectXMath/blob/jan2021/Inc/Di...
Based on the code your version is probably much faster. It would be interesting to compare precision still, MS uses 17-degree polynomial there.
What are some alternatives?
GLM - OpenGL Mathematics (GLM)
qoi - The “Quite OK Image Format” for fast, lossless image compression
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
Android-Image-Filter - some android image filters
libavif - libavif - Library for encoding and decoding .avif files
jxl-migrate - A simple Python script to migrate images to the JPEG XL (JXL) format
Fastor - A lightweight high performance tensor algebra framework for modern C++
squoosh - Make images smaller using best-in-class codecs, right in the browser.
Vc - SIMD Vector Classes for C++
glibc - GNU Libc
fastapprox - Approximate and vectorized versions of common mathematical functions
highway - Highway - A Modern Javascript Transitions Manager