libjxl VS mpv

> 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...

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.

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...

The cjxl source is here. If you spot any reason why -x strip=exif may not work, tell me.

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.

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).

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.

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

https://mpv.io/ has yt-dlp support, if yt-dlp is installed you just need to throw the URL at it and it plays the video (without download).

See https://github.com/mpv-player/mpv/issues/9053

I apologise for not following procedure. I am in the middle of building mpv 0.37 from source. Irrespective of the outcome I will document what I had to do in addition to the instructions on mpv.io and if the problem perststs, where it happens and where not with kernel version, mpv version taken from the screen, and the terminal output.

Use MPV. Partticularily shinchiro's builds. Extract the folder where you want its installation directory to be, if you decide to install it. Otherwise, just drag and drop files on top of its window or executable.

Author of ripgrep here.

Like automatic encoding detection and transparently searching UTF-16?

Or simple ways for composing character classes, e.g., `[\pL&&\p{Greek}]` for all codepoints in the Greek script that are letters. Another favorite of mine is `\P{ascii}`, which will search for any codepoint that isn't in the ASCII subset.

Or more sophisticated filtering features that let you automatically respect things like gitignore rules.

Those are all things that ripgrep does that grep does not. So I do not favor this explanation personally.

ripgrep has just about all of the functionality that GNU grep does. I would say the two biggest missing pieces at this point are:

* POSIX locale support. (But this might be a feature[1].)

* Support for "basic" regexes or some equivalent that flips the escaping rules around. i.e., You need to write `\+` to match 1 or more things, where as `+` will just match `+ literally.

Otherwise, ripgrep has unfortunately grown just about as many flags as GNU grep.

[1]: https://github.com/mpv-player/mpv/commit/1e70e82baa9193f6f02...

- https://github.com/mpv-player/mpv/issues/8692

https://mpv.io played it without fuss.