4 ms·

https://www.youtube.com/watch?v=9kaIXkImCAM https://www.youtube.com/watch?v=9kaIXkImCAM

• whalesalad 3y ago
  I'm glad we've reached a point where there is quality parody content online for our industry.
  • ElijahLynn 3y ago
    THIS!!! It was so refreshing!
  • Rebelgecko 3y ago
    Check out Krazam. I quote their Microservices video on a regular basis (https://youtu.be/y8OnoxKotPQ https://youtu.be/y8OnoxKotPQ)
• danudey 3y ago
  "Do you know ffmpeg supports OCR? I haven't found the command yet, but it does support it." This is probably 80% of my experience with ffmpeg, to be honest, but the other 20% is invaluable enough anyway.
  • vore 3y ago
    I thought this was a joke, but it really exists! https://ffmpeg.org/ffmpeg-filters.html#ocr https://ffmpeg.org/ffmpeg-filters.html#ocr
    • maxlin 3y ago
      Lol what. I have a bot that processes ~50 videos a day, burning in translated whisper-generated subtitles. It also translates images using Tesseract, then overlaying texts in-place. I once thought of exporting frames as images to maybe do this for video too, I actually did not even start to think FFMPEG would have tesseract support on top of everything. Later on though I've realized the quality of tesseract's OCR on arbitrary media is often quite bad. Google translates detection and replacement is so much ahead my current image system I'd think I would just somehow reutilize that for my app, either thru public API or browser emulation ...
• ElijahLynn 3y ago
  That was one of the funniest things I've seen in a while!!!! I had to stop drinking my decaf for fear of spitting it all over my computer I was laughing out loud so much! (ps: and no, it's not Rick Astley/Never Gonna Give You Up)
  • nerpderp82 3y ago
    The artfully inserted, corrupted predicted frames was :chefskiss: