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Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer;
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practical implementation using the industry standard OpenCV libraries * Offers an introduction to computer vision, with enough theory to make clear;
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range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages;
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application. Style and approach This book is a comprehensive guide to the brand new OpenCV 3 with Python to develop real-life computer vision;
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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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Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be;
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applications in Python using different features of the OpenCV library * Practical end-to-end project covering an important computer vision problem;
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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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at Computer Science graduates, researchers, and computer vision experts widening their expertise.;
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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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restoration to build real-life computer vision applications Key Features Explore the potential of computer vision with Raspberry Pi and Python;
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, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.;
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and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3 * Familiarize yourself with;
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with computer vision as well as experts who want to stay up-to-date with OpenCV 4 and Python 3. Although no prior knowledge of image processing;
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for anyone who wants to dive into the exciting world of image processing and computer vision. This book is aimed at programmers with a working;
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Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and;
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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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understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the;
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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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Features Build computer vision applications with OpenCV functionality via Python API Get to grips with image processing, multiple view geometry;
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This book is intended for C++ developers who want to learn how to implement the main techniques of OpenCV and get started with it quickly;
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0;...
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uses or would like to use OpenCV for building computer vision software, this book is for you. You'll also find this book useful if you're a C;
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Application Development with OpenCV 3 enables you to turn your smartphone camera into an advanced tool for photography and computer vision. Using the;
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Learn * Explore and make effective use of OpenCV's machine learning module * Learn deep learning for computer vision with Python * Master;
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detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer;
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