cv VS FFmpeg

Rust can absolutely be used without unsafe to create some of the fastest code out there, but you need to try and use data-oriented design where possible to make things flow smoothly and avoid runtime checks. The hardest thing to use data-oriented design for, in my opinion, is graphs. I find that actor systems can be used instead of graphs, but it is difficult. Generally I end up using slotmap to make multiple arenas and then putting them into one large object with lots of methods to operate on the graph structure. If you want an example of that, this is probably the most complicated code I have made this way: https://github.com/rust-cv/cv/blob/511024feaa077a9af377cca7b654ad3d57d3bd6a/cv-sfm/src/lib.rs. It may not be entirely helpful to understand the whole codebase, but if you are curious to see how I do graphs in Rust with slotmap, this can be a good reference.

This is a nice guide, but ultimately openCV should be rewritten in rust. It would avoid all of these headaches. Please checkout and support https://github.com/rust-cv/cv

It is, more or less, my first larger rust project. It uses the opencv crate, but I only recommend to have a look at rust-cv instead! It uses SQLite/sqlx for storing the matchings, actix-web for serving the webview and a lot of rayon for parallel processing.

You may want to take a look at our project Rust CV https://github.com/rust-cv/cv.

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.