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application In Detail OpenCV 3 is a state-of-the-art computer vision library that allows a great variety of image and video processing;
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involved in building a typical computer vision/machine learning application * Understand the relevance of OpenCV at every stage of building an;
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Updated for OpenCV 4 and Python 3, this book covers the latest on depth cameras, 3D tracking, augmented reality, and deep neural networks;
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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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Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web;
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Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3 About This Book;
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applications Who This Book Is ForIf you are a Java and Android developer looking to enhance your skills by learning the latest features of OpenCV;
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. OpenCV 4 for Secret Agents features a broad selection of projects based on computer vision, machine learning, and several application frameworks;
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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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Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer;
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simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.;
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Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book * Load;
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and want to develop interesting computer vision applications with OpenCV, this Learning Path is for you. Prior knowledge of C++ and;
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intended for those who already have some experience in setting up an OpenCV development environment and building applications with OpenCV. You;
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understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning;
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such as histogram equalization and morphological transformations Create GUI apps with Python 3 and OpenCV Perform machine learning with K-means;
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* Install OpenCV 3 on your operating system * Create the required CMake scripts to compile the C++ application and manage its dependencies * Get;
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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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Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and;
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using the OpenCV library Use TensorFlow, scikit-learn, NumPy, and other libraries Work with machine learning and deep learning algorithms;
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application. What You Will LearnDiscover image-processing algorithms and their applications using Python Explore image processing using the OpenCV;
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applications Build computer vision algorithms with machine learning capabilities Book DescriptionOpenCV is an image and video processing library used;
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learning and neural networks. By the end of the book, you'll be able to apply your skills in OpenCV to create computer vision applications;
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examples. Once you have got to grips with the core concepts, you'll familiarize yourself with deploying OpenCV applications on NVIDIA Jetson TX1;
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identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to;
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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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