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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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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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, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.;
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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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-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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Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer;
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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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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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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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Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book;
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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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Features Build computer vision applications with OpenCV functionality via Python API Get to grips with image processing, multiple view geometry;
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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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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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at Computer Science graduates, researchers, and computer vision experts widening their expertise.;
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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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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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* Master fundamental concepts in computer vision and image processing * Learn about the important classes and functions of OpenCV with complete;
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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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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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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. Yoüll see the OpenCV algorithms and how to use them for image processing. The next section looks at;
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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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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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Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems;
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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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Einde inhoud
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