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-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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Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web;
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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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OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals;
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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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machine learning for building intelligent computer vision applications with OpenCV 4. What you will learn Understand the core machine learning;
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Design and develop advanced computer vision projects using OpenCV with Python About This Book * Program advanced computer vision;
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Build OpenCV 4 apps with Python 2 and 3 on desktops and Raspberry Pi, Java on Android, and C# in Unity Detect, classify, recognize, and measure;
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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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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;
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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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Computer Vision projects tackling real-world problems. With the help of this book, you will learn how to set up Anaconda and Python for the major;
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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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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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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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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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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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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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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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Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems;
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Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book;
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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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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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Expand your knowledge of computer vision by building amazing projects with OpenCV 3 About This Book * Build computer vision projects;
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. Although basic knowledge of computer vision and Python programming is required, prior knowledge of advanced deep learning and how to use sensors;
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