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Add local usage instructions. #5

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bdd2b5b
Add local usage instructions to README.md
PixlRainbow Apr 22, 2025
3f254f3
Add installation requirements for local usage.
PixlRainbow Apr 22, 2025
1b148e7
Clarify Windows usage in README.md
PixlRainbow Apr 22, 2025
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4 changes: 4 additions & 0 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,10 @@ Check out my [YouTube video](https://youtu.be/M51bMMVWbC8?si=pfud7bHgjYDnO2_z) f

Thank you to JLCCNC for helping create the extruder mount and build plate for my [4 Axis Core R-Theta Printer](https://github.com/jyjblrd/Core-R-Theta-4-Axis-Printer).

## Local Usage (on your own PC)
Install and configure Python 3 and Jupyter Notebook ([see guide](https://gist.github.com/PixlRainbow/c9a75f4ccbea98c357db9e4d61c11cf8)), then open the `main.ipynb` file.
Do not run the cell that contains `!apt-get install -qq xvfb libgl1-mesa-glx`; assuming you are using Linux, instead install `xvfb` and `libgl1-mesa-glx` from a separate terminal window, with administrative permissions as required. If you are using a Linux distribution with a graphical interface, or if you are using Windows, installation of these two libraries may not be needed at all.



Bibtex Citation:
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13 changes: 12 additions & 1 deletion main.ipynb
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Expand Up @@ -11,6 +11,16 @@
"!mv S4_Slicer/* ./"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# only necessary for google colab! To install system graphics rendering libraries\n",
"!apt-get install -qq xvfb libgl1-mesa-glx"
]
},
{
"cell_type": "code",
"execution_count": null,
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}
],
"source": [
"!pip install networkx\n",
"!pip install imageio\n",
"!pip install tetgen\n",
"!pip install pyvista\n",
"!pip install scipy\n",
"!pip install open3d\n",
"!pip install pygcode\n",
"!apt-get install -qq xvfb libgl1-mesa-glx\n",
"!pip install pyvista -qq"
]
},
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