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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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Bhaumik Vaidya Bhaumik Vaidya
Author Profile Icon Bhaumik Vaidya
Bhaumik Vaidya
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Table of Contents (15) Chapters Close

Preface 1. Introducing CUDA and Getting Started with CUDA 2. Parallel Programming using CUDA C FREE CHAPTER 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

Deploying Computer Vision Applications on Jetson TX1

The previous chapter described the installation of OpenCV and CUDA on a Jetson TX1 development board. This chapter will describe how to use these features on the board. The properties of the Jetson TX1 GPU that make it useful for parallel processing will be described in detail. The chapter will also describe how we can execute the CUDA and C++ codes, seen earlier in this book, on Jetson TX1. It will also demonstrate the performance of the Jetson TX1 GPU in executing CUDA code. The primary motive of this chapter will be to demonstrate the use of Jetson TX1 in deploying image- and video-processing applications. Basic image-processing applications such as image reading, displaying, addition, thresholding, and filtering are taken as examples to demonstrate the use of Jetson TX1 for computer vision applications. Moreover, camera...

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