A suite of scripts and easy-to-follow tutorial to process point cloud data with Python, from scratch.
A computer with internet access, and (optionnally), a Gmail and GDrive account to make it work out of the box.
Nothing to install.
Documentation of the various scripts can be found on the related articles: Medium articles.
- 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.
These tools are developed after my PhD, in order to try and support developers & researchers in their point cloud processing endavour, from scratch.
- 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.
This project is licensed under the MIT License - see the LICENSE.md file for details.