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3D Deep Learning with Python: Design and develop your computer vision model ...
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N.º de artículo de eBay:286800776945
Última actualización el 14 sep 2025 18:13:02 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Release Year
- 2022
- Book Title
- 3D Deep Learning with Python: Design and develop your computer...
- ISBN
- 9781803247823
Acerca de este producto
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1803247827
ISBN-13
9781803247823
eBay Product ID (ePID)
2329415985
Product Key Features
Number of Pages
236 Pages
Language
English
Publication Name
3D Deep Learning with Python : Design and Develop Your Computer Vision Model with 3D Data Using PyTorch3D and More
Subject
Machine Theory, Intelligence (Ai) & Semantics, Neural Networks
Publication Year
2022
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Length
3.6 in
Item Width
3 in
Additional Product Features
Intended Audience
Trade
Dewey Edition
23
Dewey Decimal
006.693
Table Of Content
Table of Contents 3D data file formats - ply and obj, 3D coordination systems, camera models Basic rendering concepts, basic PyTorch optimization, heterogeneous batching Fitting using deformable mesh models Differentiable rendering basic concepts Differentiable volume rendering NeRF - Neural Radiance Fields GIRAFFE Human body 3D fitting using SMPL models Synsin - end-to-end view synthesis from a single image Mesh RCNN
Synopsis
Visualize and build deep learning models with 3D data using PyTorch3D and other Python frameworks to conquer real-world application challenges with ease Key Features: Understand 3D data processing with rendering, PyTorch optimization, and heterogeneous batching Implement differentiable rendering concepts with practical examples Discover how you can ease your work with the latest 3D deep learning techniques using PyTorch3D Book Description: With this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time. Complete with step-by-step explanations of essential concepts and practical examples, this book lets you explore and gain a thorough understanding of state-of-the-art 3D deep learning. You'll see how to use PyTorch3D for basic 3D mesh and point cloud data processing, including loading and saving ply and obj files, projecting 3D points into camera coordination using perspective camera models or orthographic camera models, rendering point clouds and meshes to images, and much more. As you implement some of the latest 3D deep learning algorithms, such as differential rendering, Nerf, synsin, and mesh RCNN, you'll realize how coding for these deep learning models becomes easier using the PyTorch3D library. By the end of this deep learning book, you'll be ready to implement your own 3D deep learning models confidently. What You Will Learn: Develop 3D computer vision models for interacting with the environment Get to grips with 3D data handling with point clouds, meshes, ply, and obj file format Work with 3D geometry, camera models, and coordination and convert between them Understand concepts of rendering, shading, and more with ease Implement differential rendering for many 3D deep learning models Advanced state-of-the-art 3D deep learning models like Nerf, synsin, mesh RCNN Who this book is for: This book is for beginner to intermediate-level machine learning practitioners, data scientists, ML engineers, and DL engineers who are looking to become well-versed with computer vision techniques using 3D data., Visualize and build deep learning models with 3D data using PyTorch3D and other Python frameworks to conquer real-world application challenges with ease Key Features Understand 3D data processing with rendering, PyTorch optimization, and heterogeneous batching Implement differentiable rendering concepts with practical examples Discover how you can ease your work with the latest 3D deep learning techniques using PyTorch3D Book Description With this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time. Complete with step-by-step explanations of essential concepts and practical examples, this book lets you explore and gain a thorough understanding of state-of-the-art 3D deep learning. You'll see how to use PyTorch3D for basic 3D mesh and point cloud data processing, including loading and saving ply and obj files, projecting 3D points into camera coordination using perspective camera models or orthographic camera models, rendering point clouds and meshes to images, and much more. As you implement some of the latest 3D deep learning algorithms, such as differential rendering, Nerf, synsin, and mesh RCNN, you'll realize how coding for these deep learning models becomes easier using the PyTorch3D library. By the end of this deep learning book, you'll be ready to implement your own 3D deep learning models confidently. What you will learn Develop 3D computer vision models for interacting with the environment Get to grips with 3D data handling with point clouds, meshes, ply, and obj file format Work with 3D geometry, camera models, and coordination and convert between them Understand concepts of rendering, shading, and more with ease Implement differential rendering for many 3D deep learning models Advanced state-of-the-art 3D deep learning models like Nerf, synsin, mesh RCNN Who this book is for This book is for beginner to intermediate-level machine learning practitioners, data scientists, ML engineers, and DL engineers who are looking to become well-versed with computer vision techniques using 3D data., This practical guide to 3D deep learning will help you learn everything you need to know about 3D computer vision models and how to incorporate them into your day-to-day work. The book covers top methods and frameworks to demonstrate how 3D data can be processed and help you gain the confidence to implement your own 3D deep learning models.
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Goodwill of Silicon Valley Books
98,7% de votos positivos•587 mil artículos vendidos
Registrado como vendedor profesional
Votos de vendedor (198.999)
- 1***2 (4)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaI’m very satisfied with my purchase. Although it did arrive a few days late, it was definitely worth $18 for a densely packed, 1000 paged textbook with lots and lots of questions to reinforce your understanding. In terms of the seller and the condition of the book, the seller was very truthful in their description, and marked the book as “acceptable”. I’ve only explored a fraction of the book, and as far as I’m concerned, the majority is “good”. I’m very happy, it looks great, great quality.
- b***a (1072)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaSorry to have to return the book, but the listing appeared as if the 5 vol set of books was listed. I only received vol. 1. Requested a refund and seller sent return slip immediately and issued a complete refund. I would feel comfortable buying from this seller again.
- r***7 (4270)- Votos emitidos por el comprador.Mes pasadoCompra verificadaBook that was received had loose and missing pages and fell short of the described condition. Seller responded quickly to this concern and the suggested resolution was much better than hoped for. This was clearly an honest mistake and I highly recommend this seller as honest and professional. A++ seller!
Goodwill of Silicon Valley Books
98,7% de votos positivos•587 mil artículos vendidos
Registrado como vendedor profesional
Votos de vendedor (198.999)
- 1***2 (4)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaI’m very satisfied with my purchase. Although it did arrive a few days late, it was definitely worth $18 for a densely packed, 1000 paged textbook with lots and lots of questions to reinforce your understanding. In terms of the seller and the condition of the book, the seller was very truthful in their description, and marked the book as “acceptable”. I’ve only explored a fraction of the book, and as far as I’m concerned, the majority is “good”. I’m very happy, it looks great, great quality.
- b***a (1072)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaSorry to have to return the book, but the listing appeared as if the 5 vol set of books was listed. I only received vol. 1. Requested a refund and seller sent return slip immediately and issued a complete refund. I would feel comfortable buying from this seller again.
- r***7 (4270)- Votos emitidos por el comprador.Mes pasadoCompra verificadaBook that was received had loose and missing pages and fell short of the described condition. Seller responded quickly to this concern and the suggested resolution was much better than hoped for. This was clearly an honest mistake and I highly recommend this seller as honest and professional. A++ seller!