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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

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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OpenCV with Python

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OpenCV

Get savvy with OpenCV and actualize cool computer vision applications About This Book * Use OpenCV's Python bindings to capture;

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OpenCV 4 with Python Blueprints

range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only;

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Raspberry Pi Computer Vision Programming

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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OpenCV with Python Blueprints

Design and develop advanced computer vision projects using OpenCV with Python About This Book * Program advanced computer vision;

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Learning OpenCV 3 Computer Vision with Python -

Unleash the power of computer vision with Python using OpenCV About This Book * Create impressive applications with OpenCV and Python;

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

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 OpenCV 4

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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OpenCV 4 for Secret Agents

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

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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Mastering OpenCV with Practical Computer Vision Projects

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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OpenCV with Python By Example

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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Machine Learning for OpenCV

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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Building Computer Vision Projects with OpenCV 4 and C++

to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: Mastering OpenCV 4 - Third Edition;

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Raspberry Pi Image Processing Programming

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing;

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OpenCV 3 Computer Vision with Python Cookbook

Features Build computer vision applications with OpenCV functionality via Python API Get to grips with image processing, multiple view geometry;

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Practical Machine Learning and Image Processing

with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for;

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Practical Machine Learning and Image Processing

with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for;

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Daniel Arbuckle's Mastering Python

Gain a thorough understanding of operating in a Python development environment, and some of the most important advanced topics with Daniel;

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Computer Vision Projects with OpenCV and Python 3

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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Mastering OpenCV Android Application Programming

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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Mastering Object Oriented Python

Python and need to write more sophisticated, flexible code that integrates seamlessly with the rest of Python. This book assumes a computer;

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