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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

power of GPU Key Features Explore examples to leverage the GPU processing power with OpenCV and CUDA Enhance the performance of algorithms on;

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Hands-On GPU Programming with Python and CUDA

DescriptionHands-On GPU Programming with Python and CUDA hits the ground running: you'll start by learning how to apply Amdahl's Law, use a code profiler;

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Learning OpenCV

stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500;

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Professional CUDA C Programming

-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive;

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GPU Computing Gems Emerald Edition

in computer vision, electronic design automation, and emerging data-intensive applications. It also covers life sciences, medical imaging, ray tracing;

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OpenCV 4 with Python Blueprints

Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and;

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OpenCV with Python Blueprints

Design and develop advanced computer vision projects using OpenCV with Python About This Book * Program advanced computer vision;

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Raspberry Pi Computer Vision Programming

of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on;

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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer;

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Learning OpenCV 3 Computer Vision with Python -

Unleash the power of computer vision with Python using OpenCV About This Book * Create impressive applications with OpenCV and Python;

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CUDA for Engineers

CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do;

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Learning OpenCV 3 Application Development

Build, create, and deploy your own computer vision applications with the power of OpenCV About This Book * This book provides hands;

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Mastering OpenCV 4 with Python

computing and augmented reality. Key Features Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4;

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OpenCV

Get savvy with OpenCV and actualize cool computer vision applications About This Book * Use OpenCV's Python bindings to capture;

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Programming Massively Parallel Processors

-point format, parallel patterns, and dynamic parallelism are covered in depth. This best-selling guide to CUDA and GPU parallel programming has;

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OpenCV 3 Computer Vision with Python Cookbook

Features Build computer vision applications with OpenCV functionality via Python API Get to grips with image processing, multiple view geometry;

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OpenCV By Example

This book is a practical guide with lots of tips, and is closely focused on developing Computer vision applications with OpenCV. Beginning with;

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Machine Learning for OpenCV 4

vector machines and Bayes classifier in your computer vision applications Use OpenVINO with OpenCV 4 to speed up model inference Who this book;

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Learning OpenCV 4 Computer Vision with Python 3

-world computer vision projects. What you will learn Install and familiarize yourself with OpenCV 4's Python 3 bindings Understand image;

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OpenCV Computer Vision Application Programming Cookbook

OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV;

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Introduction to Cuda and Gpu Programming

operation. Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia GPU platforms and the same;

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GPU Parallel Program Development Using CUDA

core and memory operation. Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia;

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OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

* Master fundamental concepts in computer vision and image processing * Learn about the important classes and functions of OpenCV with complete;

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CUDA Fortran for Scientists and Engineers

experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to;

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Mastering OpenCV with Practical Computer Vision Projects

at Computer Science graduates, researchers, and computer vision experts widening their expertise.;

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OpenCV with Python By Example

is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful;

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CUDA Application Design and Development

needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA;

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