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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

Interfacing cameras with Jetson TX1

Jetson TX1 can be interfaced with USB cameras or CSI cameras. The development board comes with one camera of 5 MP already interfaced with Jetson TX1. This camera can be used to capture video just like a webcam on a laptop. Camera interfacing is an important feature that makes the Jetson TX1 development board useful in real-time situations. It supports up to six-lane cameras. The detailed list of cameras supported by Jetson TX1 can be found at the following link: https://elinux.org/Jetson_TX1 .

This section will demonstrate the procedure to capture videos using a camera interfaced with Jetson TX1 and how these videos can be used to develop computer vision applications, like face detection and background subtraction.

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