Basic Tutorial of HomCloud

HomCloud has two interfaces: the Command Line Interface (CLI) and the Python Interface. Some tutorials for both interfaces are prepared on this page. Please start with “3D point cloud analysis”. 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.

Python interface

• 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

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. You can see the document on the Python interface from python-api/.

Google Colaboratory

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

Command Line Interface

• 3D pointcloud analysis
• Binary image analysis
• Grayscale image analysis

This zip file has jupyter notebooks (.ipynb) and example data.

These tutorials use jupyter notebook with bash_kernel. Please install the software for the preparation.