WSL VS FFmpeg

It absolutely 100% can be true.

As an example: Windows Services for Linux 2 used a special init daemon to interact with the host OS.

That meant no systemd. That meant that the `systemctl` program wasn't there.

This baffled legions, armies, of wannabe sysadmins.

https://stackoverflow.com/questions/55579342/why-systemd-is-...

https://superuser.com/questions/1785697/systemd-in-wsl-on-wi...

https://github.com/microsoft/WSL/issues/9477

https://askubuntu.com/questions/1132230/unable-to-run-any-sy...

People on the whole have no idea how this stuff works, and they just copy magic incantations from StackOverflow to get stuff to happen. If that doesn't work, then this OS is broken. The end.

For these guys, WSL was broken.

Result:

MS hired Lennart Poettering.

https://www.theregister.com/2022/07/07/lennart_poettering_re...

He "fixed" it. Systemd now works in WSL2. All those guides for noobs now work. Everyone is happy.

In a world where tools like Flatpak and Snap are proliferating and it's driving deep divisions between Linux distros, if you think the average person struggling with Linux is going to use `ldd` to work out where the dependencies for something live, I'm afraid you are a deep guru who lives on a different plane of existence.

We now have widely-used packaging systems which simply embed an apps entire dependency tree into a package to avoid people having to work out the difference between `apt` and `rpm`. Thousands of terabytes of disk are being burned to make this stuff go away.

Yes, this is too hard. Way too hard.

Better source: https://github.com/Microsoft/WSL/issues/873#issuecomment-425...

One of the bugs where on the Docker side. As I have said, there have been several since release with a lot of impact period overlap. The latest and greatest is not resolved.

It's the issue of abysmal I/O performance in communication between the mounted WSL2 virtual hard disk and Windows mounts inside the WSL2 distro.

I found this github page and I was able to reproduce this from the answer

* Docker engine and not Docker Desktop in a VM. WSL2 works well after some configuration: https://github.com/microsoft/WSL/issues/6655#issuecomment-11...

Seems to more of a Defender issue than a WSL one, see https://github.com/microsoft/WSL/issues/8995

After adding exclusions for the fsnotifier-wsl process and and both variants of the WSL distro path my disk performance was improved.

Adding the idea64.exe process also helped since I was trying to run IntelliJ against projects inside WSL.

GPL2

Since FFmpeg is GPL2, doesn’t that require CompressX to disclose its source code?

IANAL, apologies if I miss understand license requirements.

https://github.com/FFmpeg/FFmpeg?tab=License-1-ov-file

This turns out to be a lot of assembly macros to help write one x86 assembly. https://github.com/FFmpeg/FFmpeg/blob/master/libavutil/x86/x...

The sibling comment recommending compiler intrinsics is probably the best way to go for writing SIMD code. A mixture of `` style types and intrinsics to specify instructions is a solid 90% solution compared to assembly.

If you want that last 10%, I think macros are putting the emphasis in the wrong place. They're a somewhat easy way to build up a language abstraction which will work if held carefully, but I'm confident the dev experience using this abstraction when you write invalid code will be deeply confusing.

I would suggest to write a parser instead of the macros. That'll tell you clearly when the syntax is invalid (though possibly not with much precision) and it'll give you a place to put semantic analysis for where valid syntax encodes nonsense. Do the equivalent of the macro expansions on the parsed tree instead of on the text. Emit asm as the "back end".

You might have heard of FFMPEG or ImageMagick for image and video edition in a programmatic way. MoviePy is a Python module for video editing (Python wrapper for FFMPEG and ImageMagick). It provides functions for cutting, concatenations, title insertions, video compositing, video processing, and the creation of custom effects. It can read and write common video and audio formats and be run on any platform with Python 2.7 or 3+.

There are many cloud-based tools and websites that can convert your images, but the problem with these tools is that you usually have to upload the files for them to be processed, and some of their services are not free. In this article, I'd like to introduce a piece of software called FFmpeg, which allows you convert the images locally with one simple command.

To run the demo locally, be sure to have Python 3.11 and FFmpeg installed.