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3D Data Processing Tutorials

I write 3D Tutorials to help you develop 3D Data Processing Skills. These guides are all Open-Access and take on various shapes (articles, code, notebooks, videos, datasets).

Explore Open-Access Knowledge

Browse the library of open-access tutorials I authored.
You can follow the latest release, my special picks of video tutorials.

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🗺️ Feel free to email me directly through my 3D newsletter if you have any recommendations, questions or want to join the sharing force. 🫶.

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Hands-on Tutorials: Editor's Pick 🍇

The following articles are deep-dive guides curated and published in Towards Data Science (Medium). They contain visuals, code, and a step-by-step workflow.

📘Published in Towards Data Science (TDS) ✨ 38 min read.

3D Geospatial Data Integration: The Ultimate Guide

The Ultimate Guide to unlocking a streamlined workflow for 3D City Modelling Applications. The tutorial covers Python Automation combining 3D Point Clouds, Meshes, and Voxels for advanced analysis.

📘Published in Towards Data Science (TDS) ✨ 27 min read.

Segment Anything 3D for Point Clouds: Complete Guide

How to build a semantic segmentation application for 3D point clouds leveraging SAM and Python. Bonus: code for projections and relationships between 3D points and 2D pixels.

📘Published in 3D Geodata Academy ✨ 19 min read.

3D Deep Learning Essentials: Roadmaps and Systems

I want to give you a clear roadmap that best fits your goals to develop 3D Deep Learning Systems along three tracks: The Hobbyist, the Engineer, and the Researcher / Innovator. Let me demystify and provide something as close to a recipe as possible to unlock hands-on 3D Deep Learning Skills and become an “elite” 3D Innovator.

📘Published in Towards Data Science (TDS) ✨ 20 min read.

The Blender Handbook for 3D Point Cloud Visualization and Rendering

Complete guide to create 3D experiences with large point clouds in Blender. In this tutorial, I want to fill a large internet gap: how to leverage one of the best 3D tools for manipulating and visualizing massive point cloud datasets.

📘Published in 3D Geodata Academy ✨ 39 min read.

3D Point Cloud Shape Detection for Indoor Modelling

A 10-step Python Guide to Automate 3D Shape Detection, Segmentation, Clustering, and Voxelization for Space Occupancy 3D Modeling of Indoor Point Cloud Datasets.

3D Data Processing: Video Tutorials Serie

Below you can find several video tutorials that are shared openly.
Feel free to explore the Youtube Channel for new releases every months.

3D Python Coding

3D Software / Tools

3D Systems / Vision

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