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What if every row/flower from the Iris dataset was represented as a marble in a physics simulation? Using Scikit-Learn with Blender to render the iris dataset in 3d and create a physical simulation of a marble machine to classify the dataset.

Python 0.85% Jupyter Notebook 99.15%
scikit-learn blender machine-learning data-visualization 3d iris-dataset flower physics-simulation

iris-dataset-3d-marbles's Introduction

Iris dataset 3D marbles

What if every row/flower from the Iris dataset was represented as a marble in a physics simulation? bld Using Scikit-Learn with Blender to render the iris dataset in 3d and create a physical simulation of a marble machine to classify the dataset. scene

Installing Scikit-Learn (or any other python library) in Blender

Blender 2.82 comes with python 3.7 and pip already, so you just have to find Blenders' python binary and run it's pip module.

On my mac I found it here:

cd /Applications/Blender.app/Contents/Resources/2.82/python/bin

Then to run that specific python binarys' pip install with the following:

./python3.7m -m pip install scikit-learn

I could also see all of Blenders' installed python packages at: /Applications/Blender.app/Contents/Resources/2.82/python/lib/python3.7

Faster animation rendering using Google Cloud

Utilising a virtual workstation for a couple of hours; photo realistic rendering can be achived all in the cloud without having to stress out my old laptop.

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