Three -dimensional deep training on Python

This book gives a complete idea of ​​modern three -dimensional deep training and helps developers in the field of computer vision put their knowledge into practice.

You will learn:

- develop models of three-dimensional computer vision to interact with the environment,
- process 3D data using clouds of points, polygonal nets, using files Ply and Obj formats,
- work with 3D geometry, camera models, coordinate systems and convert data from one to another,
- easily understand the concepts of drawing, shading, etc.,
- implement a differentiated drawing in many models of three-dimensional deep learning,
- apply modern models of three-dimensional deep learning, such as Nerf, Synsin, Mesh R-
The publication is intended for data analysis, data, engineers of machine and deep learning who want to understand well in computer vision using 3D data