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 »
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 a fun story to share. I watched a team spend €15,000 on camera equipment and two weeks of labor to capture training
Multi-View Engine for 3D Generative AI Models (Python Tutorial) Read More »
Learn to build intelligent 3D scene graphs from point clouds using Python, NetworkX, and OpenUSD. Complete tutorial access with LLM integration for spatial AI. The hardest part of spatial AI isn’t capturing the data. It’s making that data actually intelligent. You’ve got millions of perfectly labeled 3D points, but when you try to build something
3D Scene Graphs for Spatial AI with NetworkX and OpenUSD Read More »
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 communicating your insights is as important as the insights themselves. But how do you communicate over 3D data? I can bet most
How To Generate GIFs from 3D Data with Python Read More »
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 the end of this guide, you’ll have a working environment set up and be ready to delve into 3D data science with
3D Python Environment Setup: 7-Steps Guide for Beginners Read More »
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 features are then used by a thresholding mechanism to extract parts of the 3D Point Cloud. Point Cloud Feature Extraction: Tutorial Brief
Point Cloud Feature Extraction: Complete Guide Read More »
Visualise Massive point cloud in Python. Tutorial for advanced visualization and interaction with big point cloud data in Python. (Bonus) Learn how to create an interactive segmentation “software”. Data visualisation is a big enchilada 🌶️: by making a graphical representation of information using visual elements, we can best present and understand trends, outliers, and patterns
Visualise Massive point cloud in Python Read More »
