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 pointcloud 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 pointcloud analysis
• Binary image analysis
• Grayscale image analysis
• 3D binary image analysis
• Distance matrix analysis (Vietoris-Rips)
• 3D periodic pointcloud analysis
• Machine learning
• Atomic configuration data (Japanese, will be translated into English soon)
  • Crystal Copper
  • Amorphous silica

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 Colaboratoryh

Now, HomCloud supports Google Colaboratory](colab.research.google.com/). We are in the process of porting the tutorial to Colab.

• 3D pointcloud analysis
• 2D binary image analysis
• 3D binary image analysis
• 2D grayscale image analysis
• Atomic configuration analysis(3D pointcloud)
• Machine learning

Command Line Interface

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

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

For preparation

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