Point-cloud-processing

A suite of scripts and easy-to-follow tutorial to process point cloud data with Python, from scratch.

• Point Cloud Basics

Prerequisites

A computer with internet access, and (optionnally), a Gmail and GDrive account to make it work out of the box.

Installing

Nothing to install.

Documentation

Documentation of the various scripts can be found on the related articles: Medium articles.

Built With

• Python - A cross-platform document-oriented database
• NumPy - A Python library that add support for large, multi-dimensional arrays and matrices.
• open3D - A Modern Python Library for 3D Data Processing
• LasPy - A Python library for reading, modifying and writing LAS files.
• Matplotlib - A library for creating static, animated, and interactive visualizations in Python.

Acknowledgments

These tools are developed after my PhD, in order to try and support developers & researchers in their point cloud processing endavour, from scratch.

Authors

• Florent Poux - Idea and development - Linkedin

This project is supported by the 3D Geodata Academy, that provides 3D Courses around Photogrammetry, Point Cloud Processing, Semantic Segmentation, Classificaiton, Virtual Reality & more.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.