At the launch of Houdini 17.5 / PilotPDG we showcased PDG's application in Machine Learning in the form of data synthesis, data augmentation, and hyper-parameter space search.  This lesson showcases the data synthesis and augmentation aspects of PDG to further knowledge in this area.


The topic of hyper-parameter space search in Machine Learning covers concepts and ideas that lie outside the scope of this lesson. 


EROSION

Open erosion_synthesis.hip and make sure the provided assets are correctly installed (Assets -> Install Asset Library).  Navigate to obj/topnet1 and cook the imagemagick node.


TERRAIN GEN

Open PDG-ML-TrainingData-DL.hip and make sure the provided assets are correctly installed (Assets -> Install Asset Library).  Navigate to obj/TOP_PDG_ML_TrainingData and cook the imagemagick node.

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SIDEFX

For over thirty years, SideFX has been providing artists with procedural 3D animation and visual effects tools designed to create the highest-quality cinematic results. We are passionate about what our customers do because our roots are in production, both as artists and as pioneering technical innovators.

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COMMENTS

  • wesw 8 months, 1 week ago  | 

    Been waiting for this one, thanks for releasing!

  • pclaes 8 months, 1 week ago  | 

    Thank you for these!
    Would be great to share some links/pointers in regards to:
    "The topic of hyper-parameter space search in Machine Learning covers concepts and ideas that lie outside the scope of this lesson. "

    For now I'm going to start learning more about pytorch. and machine learning.
    https://pytorch.org/tutorials/

    Would be great to share the second part specific to the machine learning portion too. Or put a masterclass together on that - I would think a lot of houdini power users would want to extend Houdini/PDG with machine learning knowledge.

  • zhaoxinchen007 8 months ago  | 

    I can not read flt file

  • Patrick Schuler 8 months ago  | 

    @pclaes: I can recommend the 5 course intro to machine learning by Andrew Ng. He goes into the barebone maths. Course one is mostly about backpropagation and fundamentals, at the end of course 1, but specifically during course 2, it is all about hyper parm optimization and tuning. Very nice one: https://www.coursera.org/specializations/deep-learning

  • pclaes 8 months ago  | 

    Thanks for the recommendation Patrick, I will check out the coursera lectures.

  • Patrick Schuler 8 months ago  | 

    On another note: I seem to be having the same problems as zhaoxinchen007 , unable to read USGS *.flt files. Is this something that Houdini should be able to do? Tried to convert the flts to dxf files but couldn't find a suitable converter right away...

  • takanori 8 months ago  | 

    Houdini supports .flt file after 17.5.174. You should upgrade to the latest daily build.
    https://www.sidefx.com/changelog/?journal=&categories=&body=flt&version=17.5.174&build_0=&build_1=&show_versions=on&show_compatibility=on&items_per_page=

  • sascha 1 month, 1 week ago  | 

    Thanks for making them available!

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