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machine learning for building intelligent computer vision applications with OpenCV 4. What you will learn Understand the core machine learning;
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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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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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learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all;
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machine learning algorithms Key Features Discover best practices for engineering and maintaining OpenCV projects Explore important deep learning;
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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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. 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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biggest computer vision library: OpenCV. You'll see the OpenCV algorithms and how to use them for image processing. The next section looks at;
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biggest computer vision library: OpenCV. YoĆ¼ll see the OpenCV algorithms and how to use them for image processing. The next section looks at;
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Is For Intended for novices to the world of OpenCV and computer vision, as well as OpenCV veterans that want to learn about what's new;
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Explore the latest features and APIs in OpenCV 4 and build computer vision algorithms Develop effective, robust, and fail-safe vision for your;
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much more * All the code examples in the book are based on OpenCV 3.1 - the latest version Who This Book Is For This is the perfect book;
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Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV;
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important computer vision concepts like image processing and machine learning for OpenCV with multiple examples.;
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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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Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos Key;
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OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning;
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working examples applied to real images Who This Book Is For OpenCV 3 Computer Vision Application Programming Cookbook Third Edition;
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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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, and machine learning Learn to use deep learning models for image classification, object detection, and face recognition Book DescriptionOpenCV;
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of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques;
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, Gonum, and GoCv for training models in Go Book DescriptionGo is the perfect language for machine learning; it helps to clearly describe complex;
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scientist, machine learning practitioner or anyone interested in AI applications. These ML models and methods can be used to create solutions for AI;
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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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objects in a live video using various techniques * Use the new OpenCV functions for text detection and recognition with Tesseract In Detail;
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2 Session 1: Plenary 3 Session 2: Machine Learning from Image, Video, and Map Data 4 Session 3: Machine Learning from Natural Languages 5;
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