Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs - Image 1

£41.99

Packt Publishing Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs

Name: Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs
Brand: Packt Publishing
Price: 41.99 GBP
Availability: InStock

1789348293

Architecture & Microprocessors

It has never been this cheap. We have no record of a lower price.

£42 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 43 days • 43 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 43 days • 1 price levels

Days at Price

Price Analysis

Most common price: £42 (43 days, 100.0%)

Price range: £42 - £42

Price levels: 1 different prices over 43 days

Description

Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU Key Features Explore examples to leverage the GPU processing power with OpenCV and CUDA Enhance the performance of algorithms on embedded hardware platforms Discover C++ and Python libraries for GPU acceleration Book Description Computer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages. Nowadays, in computer vision, there is a need to process large images in real time, which is difficult to handle for OpenCV on its own. This is where CUDA comes into the picture, allowing OpenCV to leverage powerful NVDIA GPUs. This book provides a detailed overview of integrating OpenCV with CUDA for practical applications. To start with, you'll understand GPU programming with CUDA, an essential aspect for computer vision developers who have never worked with GPUs. You'll then move on to exploring OpenCV acceleration with GPUs and CUDA by walking through some practical examples. Once you have got to grips with the core concepts, you'll familiarize yourself with deploying OpenCV applications on NVIDIA Jetson TX1, which is popular for computer vision and deep learning applications. The last chapters of the book explain PyCUDA, a Python library that leverages the power of CUDA and GPUs for accelerations and can be used by computer vision developers who use OpenCV with Python. By the end of this book, you'll have enhanced computer vision applications with the help of this book's hands-on approach. What you will learn Understand how to access GPU device properties and capabilities from CUDA programs Learn how to accelerate searching and sorting algorithms Detect shapes such as lines and circles in images Explore object tracking and detection with algorithms Process videos using different video analysis techniques in Jetson TX1 Access GPU device properties from the PyCUDA program Understand how kernel execution works Who this book is 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. Table of Contents 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

Product Specifications

Brand: Packt Publishing
Model: 1789348293
Format: paperback
ASIN: 1789348293
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 26 September 2018
Listed Since: 27 June 2018

Barcode

No barcode data available

Packt Publishing Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications

Learning OpenCV 3 Application Development

Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Practical Deep Learning for Computer Vision with Python

Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 1: 459 (Advances in Intelligent Systems and Computing, 459)

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 1: 943 (Advances in Intelligent Systems and Computing, 943)

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings, Part IV: 7575 (Lecture Notes in Computer Science, 7575)

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III: 7574 (Lecture Notes in Computer Science, 7574)

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings, Part V: 7576 (Lecture Notes in Computer Science, 7576)

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II: 7573 (Lecture Notes in Computer Science, 7573)

Registration and Recognition in Images and Videos: 532 (Studies in Computational Intelligence, 532)

Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 2: 460 (Advances in Intelligent Systems and Computing, 460)

Digital Image Processing and Analysis: Computer Vision and Image Analysis

Multi-Core Computer Vision and Image Processing for Intelligent Applications (Advances in Computational Intelligence and Robotics)

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection: 124 (Intelligent Systems Reference Library, 124)

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications

Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection: 124 (Intelligent Systems Reference Library, 124)

Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part III: 9907 (Lecture Notes in Computer Science, 9907)

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II: 9906 (Lecture Notes in Computer Science, 9906)

Computer Vision: Three-dimensional Reconstruction Techniques