3D Data Science with Python
✨ BONUS TUTORIALS
3D Reconstruction
1 Topic
DepthAnything v2 Tutorial
📕 BOOK RESOURCES
Chapter 1 – Introduction to 3D Data Science
Chapter 2 – Resources and Software Essentials
Chapter 3 – 3D Python and 3D Data Setup
Chapter 4 – 3D Data Representation and Structuration
Chapter 5 – Developing a Multimodal 3D Viewer with Python
Chapter 6 – Point Cloud Data Engineering
Chapter 7 – Building 3D Analytical Apps
Chapter 8 – 3D Data Analysis
Chapter 9 – 3D Shape Recognition
Chapter 10 – 3D Modeling: Advanced Techniques
Chapter 11 – 3D Building Reconstruction from LiDAR Data
Chapter 12 – 3D Machine Learning: Clustering
Chapter 13 – Graphs and Foundation Models for Unsupervised Segmentation
Chapter 14 – Supervised 3D Machine Learning Fundamentals
Chapter 15 – 3D Deep Learning with PyTorch
Chapter 16 – PointNet for 3D Object Classification
Chapter 17 – The 3D Data Science Workflow
Chapter 18 – From 3D Generative AI to Spatial AI
🚀NEXT STEPS
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Chapter 6 – Point Cloud Data Engineering
3D Data Science with Python
Chapter 6 – Point Cloud Data Engineering
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