Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
This book is a guide to explore how accelerating of computer vision applications using GPUs will help you develop algorithms that work on complex image data in real time. It will solve the problems you face while deploying these algorithms on embedded platforms with the help of development boards from NVIDIA such as the Jetson TX1, Jetson TX2, and Jetson TK1.
Offered by
Difficulty Level
Intermediate
Completion Time
12h40m
Language
English
About Book
Who Is This Book For?
This book is a go-to guide for you if you are a developer working with OpenCV and want to learn how to process more complex image data by exploiting GPU processing. A thorough understanding of computer vision concepts and programming languages such as C++ or Python is expected.
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h40m total length
Introduction to CUDA and Getting Started with CUDA
Parallel programming using CUDA C
Threads,Synchronization and Memory
Advanced concepts in CUDA
Getting started with OpenCV with CUDA support
Basic computer vision Operations using OpenCV and CUDA
Object detection and tracking using OpenCV and CUDA
Introduction to Jetson Tx1 development board and installing OpenCV on Jetson TX1
Deploying computer vision applications on Jetson TX1
Getting started with PyCUDA
Working with PyCUDA
Basic Computer vision application using PyCUDA
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