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3D Deep Learning with Python

You're reading from  3D Deep Learning with Python

Product type Book
Published in Oct 2022
Publisher Packt
ISBN-13 9781803247823
Pages 236 pages
Edition 1st Edition
Languages
Authors (3):
Xudong Ma Xudong Ma
Profile icon Xudong Ma
Vishakh Hegde Vishakh Hegde
Profile icon Vishakh Hegde
Lilit Yolyan Lilit Yolyan
Profile icon Lilit Yolyan
View More author details

Table of Contents (16) Chapters

Preface PART 1: 3D Data Processing Basics
Chapter 1: Introducing 3D Data Processing Chapter 2: Introducing 3D Computer Vision and Geometry PART 2: 3D Deep Learning Using PyTorch3D
Chapter 3: Fitting Deformable Mesh Models to Raw Point Clouds Chapter 4: Learning Object Pose Detection and Tracking by Differentiable Rendering Chapter 5: Understanding Differentiable Volumetric Rendering Chapter 6: Exploring Neural Radiance Fields (NeRF) PART 3: State-of-the-art 3D Deep Learning Using PyTorch3D
Chapter 7: Exploring Controllable Neural Feature Fields Chapter 8: Modeling the Human Body in 3D Chapter 9: Performing End-to-End View Synthesis with SynSin Chapter 10: Mesh R-CNN Index Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “ Next, we need to update the ./options/options.py file”

A block of code is set as follows:

elif opt.dataset == 'kitti':
   opt.min_z = 1.0
   opt.max_z = 50.0
   opt.train_data_path = (
       './DATA/dataset_kitti/'
   )
   from data.kitti import KITTIDataLoader
   return KITTIDataLoader

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

wget https://dl.fbaipublicfiles.com/synsin/checkpoints/realestate/synsin.pth

Any command-line input or output is written as follows:

bash ./download_models.sh

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “The refinement module (g) gets inputs from the neural point cloud renderer and then outputs the final reconstructed image.”

Tips or important notes

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