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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs

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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

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Key benefits

  • Explore examples to leverage the GPU processing power with OpenCV and CUDA
  • Enhance the performance of algorithms on embedded hardware platforms
  • Discover C++ and Python libraries for GPU acceleration

Description

Computer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages. Nowadays, in computer vision, there is a need to process large images in real time, which is difficult to handle for OpenCV on its own. This is where CUDA comes into the picture, allowing OpenCV to leverage powerful NVDIA GPUs. This book provides a detailed overview of integrating OpenCV with CUDA for practical applications. To start with, you’ll understand GPU programming with CUDA, an essential aspect for computer vision developers who have never worked with GPUs. You’ll then move on to exploring OpenCV acceleration with GPUs and CUDA by walking through some practical examples. Once you have got to grips with the core concepts, you’ll familiarize yourself with deploying OpenCV applications on NVIDIA Jetson TX1, which is popular for computer vision and deep learning applications. The last chapters of the book explain PyCUDA, a Python library that leverages the power of CUDA and GPUs for accelerations and can be used by computer vision developers who use OpenCV with Python. By the end of this book, you’ll have enhanced computer vision applications with the help of this book's hands-on approach.

Who is this book for?

This book is a go-to guide for you if you are a developer working with OpenCV and want to learn how to process more complex image data by exploiting GPU processing. A thorough understanding of computer vision concepts and programming languages such as C++ or Python is expected.

What you will learn

  • Understand how to access GPU device properties and capabilities from CUDA programs
  • Learn how to accelerate searching and sorting algorithms
  • Detect shapes such as lines and circles in images
  • Explore object tracking and detection with algorithms
  • Process videos using different video analysis techniques in Jetson TX1
  • Access GPU device properties from the PyCUDA program
  • Understand how kernel execution works
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 26, 2018
Length: 380 pages
Edition : 1st
Language : English
ISBN-13 : 9781789348293
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Product Details

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Length: 380 pages
Edition : 1st
Language : English
ISBN-13 : 9781789348293
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Frequently bought together


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Total 115.97
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Total 115.97 Stars icon

Table of Contents

14 Chapters
Introducing CUDA and Getting Started with CUDA Chevron down icon Chevron up icon
Parallel Programming using CUDA C Chevron down icon Chevron up icon
Threads, Synchronization, and Memory Chevron down icon Chevron up icon
Advanced Concepts in CUDA Chevron down icon Chevron up icon
Getting Started with OpenCV with CUDA Support Chevron down icon Chevron up icon
Basic Computer Vision Operations Using OpenCV and CUDA Chevron down icon Chevron up icon
Object Detection and Tracking Using OpenCV and CUDA Chevron down icon Chevron up icon
Introduction to the Jetson TX1 Development Board and Installing OpenCV on Jetson TX1 Chevron down icon Chevron up icon
Deploying Computer Vision Applications on Jetson TX1 Chevron down icon Chevron up icon
Getting Started with PyCUDA Chevron down icon Chevron up icon
Working with PyCUDA Chevron down icon Chevron up icon
Basic Computer Vision Applications Using PyCUDA Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(5 Ratings)
5 star 60%
4 star 20%
3 star 20%
2 star 0%
1 star 0%
Eduardo Hiroshi Nakamura Nov 05, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Conteúdo condiz com o titulo.
Amazon Verified review Amazon
syu Nov 13, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
この本は、CUDA,OpenCV,Jetson,PyCUDAについて解説されていますが、Jetsonは使用予定がないので評価していません。環境構築、基本的な仕組み・使い方までわかりやすく解説されています。CUDAについては比較的新しい情報が記載されているので、C/C++の知識があることが前提ですがCUDAの基礎知識を得るのには適していると思います。CUDAを使用すれば必ず高速化するわけではないので、特にカーネルパラメータの設定、スレッド、メモリ特性、CUDAストリームの内容はパフォーマンスを向上させるのに役に立ちます。より最新または高度な情報が知りたいときはNVIDIAが無料で公開しているドキュメントを参考にする必要がありますが、基礎知識があれば時間の節約になります。OpenCVについてはいくつかの関数が紹介されていますが、使い方のパターンがあるので似たようなものは簡単に試すことができます。画像処理の効果については主要なものは解説されています。それ以外は実験が必要です。OpenCVでCUDAを使用する場合は、OpenCVに定義されている場合はそれを使用し、そうでない場合はCUDAで自作するとよいでしょう。ちなみに、CUDA10.1+OpenCV4.4(VS2019でビルド)+GeForce RTX 2070の環境でサンプルコードが動作することは確認できました。紙面のサンプルコードは後半になるほど雑になってるので、注意が必要です。PyCUDAについてはサンプル数は少ないけれど、前半で紹介したようなことがPythonでもできることが解説されています。(C/C++を使用しない人はこの本はお勧めしません。)試しに機械学習で使用しているPython3.7の環境にインストールしてみたが、動作しなかった!!もしかしたらダウングレードが必要かもしれないが、実際に使うときに調べようと思う。
Amazon Verified review Amazon
Robin T. Wernick Feb 28, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I was looking for just this kind of concise introduction to Image analysis on several target areas. The documentation for combining these two technologies is sparse to say the least and this book not only had a precise introduction but also several detailed examples.I now know how to proceed with the object recognition that I was looking to apply to silicon disk defect analysis, but I also know how to speed it up by several hundred percent. I have several department managers in mind that I would love to tantalize with this information.This book should make it easier to make better technology for Computer Vision applications an I wish all the readers more success by reading it.
Amazon Verified review Amazon
Force Commander Oct 24, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
The book delivers a detailed introduction to CUDA and OpenCV on the Jetson Tx1 that is also applicable to other Nvidia GPUs.
Amazon Verified review Amazon
Amazon Customer Dec 21, 2018
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
The book is a introduction to CUDA programming. The most important concepts are explained but not in detail. Performance optimization of CUDA programs are only briefly explained.
Amazon Verified review Amazon
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