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

You're reading from   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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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789348293
Length 380 pages
Edition 1st Edition
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Author (1):
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 Vaidya Vaidya
Author Profile Icon Vaidya
Vaidya
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Table of Contents (20) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Introducing CUDA and Getting Started with CUDA FREE CHAPTER 2. Parallel Programming using CUDA C 3. Threads, Synchronization, and Memory 4. Advanced Concepts in CUDA 5. Getting Started with OpenCV with CUDA Support 6. Basic Computer Vision Operations Using OpenCV and CUDA 7. Object Detection and Tracking Using OpenCV and CUDA 8. Introduction to the Jetson TX1 Development Board and Installing OpenCV on Jetson TX1 9. Deploying Computer Vision Applications on Jetson TX1 10. Getting Started with PyCUDA 11. Working with PyCUDA 12. Basic Computer Vision Applications Using PyCUDA 1. Assessments 2. Other Books You May Enjoy Index

Basic Computer Vision Applications using OpenCV CUDA module


We have seen in the earlier chapters that CUDA provides an excellent interface to utilize the parallel computing capability of GPU to accelerate complex computing applications. In this section, we will see how we can utilize the capability of CUDA alongside OpenCV for Computer Vision applications

Introduction to OpenCV CUDA module

OpenCV has a CUDA module which has hundreds of functions which can utilize GPU capabilities. It is only supported on Nvidia GPUs because it uses Nvidia CUDA runtime in the background. OpenCV has to be compiled with WITH_CUDA flag set to ON for using CUDA module.

The great feature of using CUDA module of OpenCV is that it provides a similar API to regular OpenCV API. It also does not require detail knowledge of programming in CUDA although knowledge of CUDA and GPU architecture will not do any harm. The research have shown that using functions with CUDA acceleration can provide 5x-100x speedup over similar...

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