Your 3D bookmarks are a pile of tutorials that never reference each other. Here is the whole field of 3D spatial AI with Python, six skills wired into one pipeline you can build.
3D Spatial AI The Complete Guide Read More »
A cloud bigger than your memory still spins at sixty frames a second. The trick is the one your maps app already plays on you: a pyramid of pre-cut tiles, called an octree, that loads detail only where you are looking. Here is the full machinery, with a runnable Python demo.
Turn a careless phone video into a labeled, scaled, measurable 3D room with pretrained SAM, CLIP, and DINOv2, and not one training run. A nine-step open-vocabulary 3D semantics pipeline in Python.
Open-Vocabulary 3D Semantics in Python: SAM, CLIP, and DINOv2 (No Training) Read More »
A complete Python pipeline for 3D point cloud labeling from phone photos using interactive painting, pinhole projection, and KD-tree fusion — no GPU required.
3D Point Cloud Labeling from Photos with Python (and why AI can’t design it for you) Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 22 September 2025 Generate perfect multi-view 3D training data without cameras. Mathematical algorithms create optimal viewpoints for Gaussian Splatting in minutes, not days. Stop Shooting Photos for 3D AI Training Data (Use This Instead) I have […]
Multi-View Engine for 3D Generative AI Models (Python Tutorial) Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 30 June 2025 A 3D scene graph encodes what a point cloud cannot: how objects relate to each other, that a lamp sits on a table or a bookshelf stands against a wall. Building one in […]
3D Scene Graphs for Spatial AI with NetworkX and OpenUSD Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 11 February 2025 Complete Tutorial to Automate 3D Data Visualization. Use Python to convert point clouds and 3D models into GIFs & MP4s for easy sharing and collaboration. As a data scientist, you know that effectively […]
How To Generate GIFs from 3D Data with Python Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 3 July 2024 This guide helps you get started with Python for 3D Data Science. It covers the essential steps in setting up your environment, including the resources you’ll need and the workflow to follow. By […]
3D Python Environment Setup: 7-Steps Guide for Beginners Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 24 January 2024 This tutorial targets 3D Point Cloud Feature Extraction for developing an interactive Python Segmentation App. The goal is to develop an end-to-end system that can abstract complex point clouds with pertinent features. These […]
Point Cloud Feature Extraction: Complete Guide Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 16 February 2021 Visualise Massive point cloud in Python. Point clouds past the 10 million point mark are too dense for classical visualisation libraries such as Matplotlib, so this tutorial uses PPTK, which relies on an […]
Visualise Massive point cloud in Python Read More »
