Basic Tutorial of HomCloud

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HomCloud has two interfaces: the Command Line Interface (CLI) and the Python Interface. The HomCloud developer team recommends a Python interface over CLI. You can combine HomCloud and Python’s scientific computing ecosystem for more convenient data analysis.

Please start with “3D point cloud analysis”.

Python interface

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• 3D point cloud data analysis
• Binary image data analysis
• Grayscale image data analysis
• 3D binary image data analysis
• Machine learning
• Atomic configuration data analysis
  • Crystal copper
  • Amorphous silica
• Distance matrix analysis (Vietoris-Rips filtration)
• 3D point cloud data with periodic boundary condition
• Binary image data with periodic boundary condition
• Relative PH for a pointcloud

The following tutorials uses Plotly for 3D visualization instead of PyVista. The other parts are the same as above tutorials.

• 3D point cloud data analysis
• 3D binary image data analysis
• Machine learning

These tutorials use jupyter notebook. Please install jupyter notebook before the tutorials: python-tutorial.zip. The API document on the Python interface is here.

Google Colaboratory

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HomCloud supports Google Colaboratory. You can try HomCloud without installing HomCloud on your machine. What you need is only a web browser and Google account.

• 3D point cloud data analysis
• Binary image data analysis
• Grayscale image data analysis
• 3D binary image data analysis
• Machine learning
• Atomic configuration data analysis
  • Crystal copper
  • Amorphous silica
• Distance matrix analysis (Vietoris-Rips filtration)
• Binary image data with periodic boundary condition