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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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Design and develop advanced computer vision projects using OpenCV with Python About This Book * Program advanced computer vision;
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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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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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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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Unleash the power of computer vision with Python using OpenCV About This Book * Create impressive applications with OpenCV and Python;
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also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You'll start by;
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, you'll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you'll have;
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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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Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs Key;
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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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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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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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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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Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book;
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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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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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, illuminates them with expert-quality code, and explains why some object-oriented design patterns are irrelevant to Python. He also explodes several;
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Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code;
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by Roy Shilkrot and David Millan Escriva Learn OpenCV 4 By Building Projects - Second Edition by David Millan Escriva, Vinicius G. Mendonca;
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Develop vision-aware and intelligent Android applications with the robust OpenCV library About This Book * This is the most up-to;
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