Hands-on 3D data analysis with Python for real-world applications
Covers 3D reconstruction, deep learning, and AI techniques for pattern recognition
Includes code examples for loading, manipulating, and visualizing 3D data
Explains core 3D data representations and representations of 3D data
Focuses on automation and production-ready systems using spatial AI models
Summarized by Shop
Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn