youtube-dl VS FFmpeg

For me, the less-complicated client called "DVD" is more reliable for downloading than the client called "Newpipe"; the later stops working intermittently. YMMV.

(Neither are as reliable as using own custom command line programs on desktop, or mobile via Termux. If Google makes a change I can fix/workaround immediately. No waiting for app developers.)

For me, Newpipe works well as a Soundlcoud client.

From the Kotlin source for "dvd":

Video downloader app powered by yt-dlp (formerly youtube-dl).

Features

Download video/audio from 1000+ sites supported by yt-dlp.

Run custom yt-dlp commands.

Update yt-dlp version from settings.

Share link via other apps.

References

dvd - https://github.com/yausername/dvd

youtubedl-android - https://github.com/yausername/youtubedl-android

yt-dlp - https://github.com/yt-dlp/yt-dlp (formerly youtube-dl - https://github.com/ytdl-org/youtube-dl)

Yep. yt-dlp and youtube-dl

https://github.com/yt-dlp/yt-dlp

https://github.com/ytdl-org/youtube-dl

Will also start to feel the impact. My theory is that we will see a bunch of new video hosting sites as youtube itself attempts to lock down its ecosystem. They haven't paid attention in any adversarial way as far as I can tell.

When they do, it wont be great.

Youtube-dl still functions quite well. You can even grab the CLI here: https://github.com/ytdl-org/youtube-dl

And occasionally you can find one of their TLDs just by doing a search on DDG or Brave.

If you don't want to switch to yt-dlp, then wait for a fix in the code of youtube-dl and then download a version from Unofficial daily builds.

I'm using fingerprints built from different versions of the song, including the original and remastered versions you can find on the Discord and the "pitch corrected" version you can grab from YouTube. I'm chopping each fingerprint into 100 sample chunks and searching each YouTube video (audio only, using youtube-dl) for them. Checking for the fingerprint is the fastest part of the process, so trying many against each download isn't a problem. I've confirmed it's possible to detect TMS in videos about TMS (eg. Whang, CW Schultz) where less than the full song is played.

It's getting the point where I wont use YT unless I'm using https://github.com/ytdl-org/youtube-dl

I downloaded the video from YouTube using youtube-dl.

FFmpeg (https://ffmpeg.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.