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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

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781789348293
Pages 380 pages
Edition 1st Edition
Languages
Author (1):
Bhaumik Vaidya Bhaumik Vaidya
Profile icon Bhaumik Vaidya
Toc

Table of Contents (15) Chapters close

Preface 1. Introducing CUDA and Getting Started with CUDA 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 13. Assessments 14. Other Books You May Enjoy

Summary

To summarize, in this chapter, you were introduced to CUDA and briefed upon the importance of parallel computing. Applications of CUDA and GPUs in various domains were discussed at length. The chapter described the hardware and software setup required to execute CUDA applications on your PCs. It gave a step-by-step procedure to install CUDA on local PCs.

The last section gave a starting guide for application development in CUDA C by developing a simple program and executing it on Windows and Ubuntu.

In the next chapter, we will build on this knowledge of programming in CUDA C. You will be introduced to parallel computing using CUDA C by way of several practical examples to show how it is faster compared to normal programming. You will also be introduced to the concepts of threads and blocks and how synchronization is performed between multiple threads and blocks.

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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
Published in: Sep 2018 Publisher: Packt ISBN-13: 9781789348293
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