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Show HN: The Shape of YouTube

38 points by hide_on_bush 1y ago

A project inspired by https://www.theshapeofmovies.com/ https://www.theshapeofmovies.com/ Submit a YouTube video and get a nice color analysis! 60 seconds maximum because I have a small server, but I hope you'll like it. I use a Python backend with yt-dlp, and ffmpeg + scipy for the frame processing.

deleted 1y ago
[deleted]
quapster 1y ago
[flagged]
xfeeefeee 1y ago
I'm having a hard time understanding what exactly the graphs are showing. Is it just average pixel color per frame?
- hide_on_bush 1y ago
  Yes kind of, k-means clustered colors with height in proportion.
ruguo 1y ago
[dead]
CaptainOfCoit 1y ago
I think why the shape of movies works is because it's taking the entire video, where each cinematic shot is almost visible because most (all?) frames are included in the generated image, while yours is less than ten frames so there is no patterns emerging that looks visually interesting and pleasing.
- bozhark 1y ago
  Figuring out what a shot is cs. A scene is really neat stuff
- hide_on_bush 1y ago
  Look at the pattern here: https://soy.leg.ovh/v/edecb4aa-0f70-4681-8334-85c303589e19 https://soy.leg.ovh/v/edecb4aa-0f70-4681-8334-85c303589e19 ;)
bozhark 1y ago
Netflix Tech Blog has some really neat stuff on this topic, apologies, idk what to link exactly but was reading it last night and pairs directly
peteforde 1y ago
Cool project. I do urge you to add some explanation to the top, though.
hide_on_bush 1y ago
Hi everyone! Glad HN gave this a second chance. I made a video explaining all about the site, how I used k-means clustering, threaded workers… It’s here, hope you enjoy it: https://youtu.be/jvFoGdvgWBs https://youtu.be/jvFoGdvgWBs
- hide_on_bush 1y ago
  Also: source code here for anyone interested! https://github.com/1363V4/datastar-soy https://github.com/1363V4/datastar-soy
eth0up 1y ago
I wonder if you might advise me. I'm presently using yt-dlp with python selenium to expose censorship of comments, analyzing triggers and exposing the multi-universe false presentation of public discourse falsely presented by shadow-banning, url manipulation, mobil vs desktop and cookie or login status. People are literally seeing different realities of serious (sometimes) discourses. Additionally, Shadow-banned commenters see their comments in the thread but no one else does. I'm analyzing both yt-side and channel-operator side censorship and its arguable effects on society. There's more, but my comment will become grayed out soon so not really worth saying more.

38 points by hide_on_bush 1y ago

deleted 1y ago

[deleted]

quapster 1y ago

[flagged]

xfeeefeee 1y ago

I'm having a hard time understanding what exactly the graphs are showing. Is it just average pixel color per frame?

hide_on_bush 1y ago
Yes kind of, k-means clustered colors with height in proportion.

ruguo 1y ago

[dead]

CaptainOfCoit 1y ago

I think why the shape of movies works is because it's taking the entire video, where each cinematic shot is almost visible because most (all?) frames are included in the generated image, while yours is less than ten frames so there is no patterns emerging that looks visually interesting and pleasing.

bozhark 1y ago
Figuring out what a shot is cs. A scene is really neat stuff
hide_on_bush 1y ago
Look at the pattern here: https://soy.leg.ovh/v/edecb4aa-0f70-4681-8334-85c303589e19 https://soy.leg.ovh/v/edecb4aa-0f70-4681-8334-85c303589e19 ;)

bozhark 1y ago

Netflix Tech Blog has some really neat stuff on this topic, apologies, idk what to link exactly but was reading it last night and pairs directly

peteforde 1y ago

Cool project. I do urge you to add some explanation to the top, though.

hide_on_bush 1y ago

Hi everyone! Glad HN gave this a second chance. I made a video explaining all about the site, how I used k-means clustering, threaded workers… It’s here, hope you enjoy it: https://youtu.be/jvFoGdvgWBs https://youtu.be/jvFoGdvgWBs

hide_on_bush 1y ago
Also: source code here for anyone interested! https://github.com/1363V4/datastar-soy https://github.com/1363V4/datastar-soy

eth0up 1y ago

I wonder if you might advise me. I'm presently using yt-dlp with python selenium to expose censorship of comments, analyzing triggers and exposing the multi-universe false presentation of public discourse falsely presented by shadow-banning, url manipulation, mobil vs desktop and cookie or login status. People are literally seeing different realities of serious (sometimes) discourses. Additionally, Shadow-banned commenters see their comments in the thread but no one else does. I'm analyzing both yt-side and channel-operator side censorship and its arguable effects on society. There's more, but my comment will become grayed out soon so not really worth saying more.