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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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advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.;
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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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Unleash the power of computer vision with Python using OpenCV About This Book * Create impressive applications with OpenCV and Python;
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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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such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own;
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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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with OpenCV 4 and Python 3 Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking Train, use, and;
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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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algorithm for any task Who This Book Is For This book targets Python programmers who are already familiar with OpenCV; this book will give you;
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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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Features Build computer vision applications with OpenCV functionality via Python API Get to grips with image processing, multiple view geometry;
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with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for;
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with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for;
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scikit-learn Get up to speed with Intel OpenVINO and its integration with OpenCV 4 Implement high-performance machine learning models with;
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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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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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Segmentation, followed by a chapter on live webcam input with OpenCV, an image processing library with Python. The book concludes with an appendix;
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social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to;
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OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential;
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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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Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements;
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Python language and who want to build desktop and mobile applications with rich GUI in Python with minimal hassle. Knowledge of Kivy is not;
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0;...
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OpenCV and Android and how they interact with each other using OpenCV's Java API. You'll also discover basic image processing techniques such as;
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