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Machine Learning for OpenCV 4

machine learning for building intelligent computer vision applications with OpenCV 4. What you will learn Understand the core machine learning;

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Mastering OpenCV 4 with Python

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web;

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Learning OpenCV 4 Computer Vision with Python 3

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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Machine Learning for OpenCV

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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Building Computer Vision Projects with OpenCV 4 and C++

machine learning algorithms Key Features Discover best practices for engineering and maintaining OpenCV projects Explore important deep learning;

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OpenCV 4 with Python Blueprints

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

. 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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Practical Machine Learning and Image Processing

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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Practical Machine Learning and Image Processing

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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Learning OpenCV 3 Computer Vision with Python -

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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OpenCV 4 Computer Vision Application Programming Cookbook

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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Learning OpenCV 3 Application Development

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

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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OpenCV with Python Blueprints

important computer vision concepts like image processing and machine learning for OpenCV with multiple examples.;

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Mastering OpenCV Android Application Programming

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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Computer Vision Projects with OpenCV and Python 3

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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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

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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OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

working examples applied to real images Who This Book Is For OpenCV 3 Computer Vision Application Programming Cookbook Third Edition;

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OpenCV

series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a;

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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

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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OpenCV 3 Computer Vision with Python Cookbook

, and machine learning Learn to use deep learning models for image classification, object detection, and face recognition Book DescriptionOpenCV;

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Raspberry Pi Computer Vision Programming

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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Go Machine Learning Projects

, 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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Applied Machine Learning for Health and Fitness

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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OpenCV 3 Blueprints

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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OpenCV By Example

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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Challenges in Machine Generation of Analytic Products from Multi-Source Data

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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