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 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 4 February 2025 Monocular depth estimation turns a single photograph into a 3D model by predicting a depth value for every pixel, then lifting those pixels into a point cloud and meshing it. The pipeline here […]
3D Reconstruction from a Single Image: Tutorial Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 27 December 2024 Dive into the fascinating world of 3D with deep learning, where objects come alive and possibilities are beyond 2DÂ pixels. Few technologies can change the landscape of Computer Science at the pace and impact […]
3D Deep Learning Essentials: Ressources, Roadmaps and Systems Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 30 June 2023 3D Deep Learning Tutorial: Overview đŸ¤– This article delves into the fascinating world of 3D deep learning and provides a comprehensive tutorial on PointNet data preparation using 3D Python. With the rapid advancement […]
3D Deep Learning with Python: Point Cloud Data Preparation Read More »
