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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

Installation of JetPack on Jetson TX1

The Jetson TX1 comes with a preinstalled Linux OS. The Nvidia drivers for it should be installed when it is booted for the first time. The commands to do it are as follows:

cd ${HOME}/NVIDIA-INSTALLER
sudo ./installer.sh

When TX1 is rebooted after these two commands, the Linux OS with user interface will start. Nvidia offers a software development kit (SDK), which contains all of the software needed for building computer vision and deep learning applications, along with the target OS to flash the development board. This SDK is called JetPack. The latest JetPack contains Linux for Tegra (L4T) board support packages; TensorRT, which is used for deep learning inference in computer vision applications; the latest CUDA toolkit, cuDNN, which is a CUDA deep neural network library; VisionWorks, which is also used for computer vision and deep learning...

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