Free Houdini Tutorial: Machine Learning with ONNX in Houdini 20

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  • čas přidán 25. 07. 2024
  • Support us on www.patreon.com/entagma
    With Houdini 20 we got our first official machine learning node from SideFX. While we previously had example scene files that did machine learing related stuff or plugins like mlops, this is the first machine learning tool that you get just by installing Houdini. So we should take a look at what it does and what we can use it for!
    Download Project File:
    entagma.com/downloads/Free_ON...
    Links mentioned in the video:
    github.com/onnx/models
    huggingface.co/julienkay/sent...
    Chapters:
    00:00 Intro to ONNX
    03:14 Getting ONNX Models
    05:29 MNIST Model
    09:00 Style Transfer Model
    15:13 Depth Estimation Model
    17:37 Limitations
  • Krátké a kreslené filmy

Komentáře • 15

  • @montoyland
    @montoyland Před 3 měsíci +6

    I never cease to be amazed by the quality of your content! This is bleeding edge stuff and you managed to break it down into practical, actionable steps. Thank you!

  • @michaeltan_
    @michaeltan_ Před 3 měsíci +2

    Thanks for the insights. Look forward to more ml in houdini

  • @waveWhirlVfx
    @waveWhirlVfx Před 3 měsíci +7

    I believe it's time for us to start learning machine learning before we fall behind.

    • @joelholdbrooks6729
      @joelholdbrooks6729 Před 3 měsíci

      I’ve been a software engineer for almost 20 years, I dabble in Houdini as a hobby. When I saw Midjourney for the first time a couple years ago, this was my first thought. I dropped everything I was doing to pick up ML. It was probably the best decision I could have made.
      I spend most of my day job working with LLMs now but I’m daydreaming about all the cool things that I could do in Houdini with AI/ML models everyday.
      There is so much opportunity for invention at the intersection of these tools and Houdini. Yet, there is so much vocal angst and drama around the technology in the adjacent spaces. What these people don’t know is that they have more power than they realize.
      If more people understand ML/AI more people can take control of it for themselves and use their proprietary data to their advantage.

  • @suri4Musiq
    @suri4Musiq Před 2 měsíci

    Loved this tutorial, great introduction to machine learning in houdini!

  • @stereographik
    @stereographik Před 3 měsíci

    thank you so much, such an interesting subject and clear explanations, as always !

  • @RSFX1
    @RSFX1 Před 3 měsíci

    Great info, thank you!

  • @xingarthur
    @xingarthur Před 3 měsíci

    Thank you this is great!!!

  • @luoqiulin
    @luoqiulin Před 3 měsíci +1

    willl you please introduce about LinearSolver?

  • @zzzzzzz8473
    @zzzzzzz8473 Před 3 měsíci

    awesome! thanks for tutorial! one minor crit = inference is pronounced inFURence or inFRence , to infer . the pronunciation is useful to disambiguate from interFEARence

  • @user-sp1os1vk2g
    @user-sp1os1vk2g Před měsícem

    How do I get this onnx1 node

  • @Nico6664blood
    @Nico6664blood Před 3 měsíci +3

    never been more confused in my life

  • @fahimjaowad8717
    @fahimjaowad8717 Před 3 měsíci +1

    First

  • @D878D5g7
    @D878D5g7 Před měsícem

    Huh? lol I can’t wait until AI makes this stuff 1000% more simple. Just feels like it’s complicated for the sake of being complicated.