ImageMagick VS FFmpeg

To tie all this together, we made an org profile for our GitHub organization page. There are some great examples of these, like Microsoft and PayPal. For Fastly's, we wanted something friendly and human so we used Imagemagick to create a montage of all the avatars of the Fastly team members who have contributed to the open source projects in our org:

Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we will look closer at how Python can be used for video generation and explore some of the powerful libraries and tools that make it possible.

ImageMagick is the main tool and can do most conversions and image operations. For example to resize a whole folder of photos and convert to WebP you can do this:

Lack of open governance explains the fork in 2002. [0] The github commit history shows it's still a largely one-person-band. [1] The problems with this include a lack of succession planning, a lack of ability to scale bandwidth, and a narrower pool of ideas. The documentation website is really out-of-date as it mentions using a Borland compiler.

Alternatives to IM:

- https://www.libvips.org

- http://www.graphicsmagick.org (IM fork)

0. https://marc.info/?l=imagemagick-developer&m=104777007831767...

1. https://github.com/ImageMagick/ImageMagick

You can rotate it using https://imagemagick.org

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.