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Mastering OpenCV 4 with Python : a practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7 /

Mastering OpenCV 4 with Python is a comprehensive guide to help you to get acquainted with various computer vision algorithms running in real-time. This book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fernández Villán, Alberto (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2019.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Fernández Villán, Alberto,  |e author. 
245 1 0 |a Mastering OpenCV 4 with Python :  |b a practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7 /  |c Alberto Fernández Villán. 
246 3 |a Mastering Open Source Computer Vision four with Python 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2019. 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from title page (Safari, viewed May 1, 2019). 
505 0 |a Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Section 1: Introduction to OpenCV 4 and Python; Chapter 1: Setting Up OpenCV; Technical requirements; Code testing specifications; Hardware specifications; Understanding Python; Introducing OpenCV; Contextualizing the reader; A theoretical introduction to the OpenCV library; OpenCV modules; OpenCV users; OpenCV applications; Why citing OpenCV in your research work; Installing OpenCV, Python, and other packages; Installing Python, OpenCV, and other packages globally; Installing Python 
505 8 |a Installing Python on LinuxInstalling Python on Windows; Installing OpenCV; Installing OpenCV on Linux; Installing OpenCV on Windows; Testing the installation; Installing Python, OpenCV, and other packages with virtualenv; Python IDEs to create virtual environments with virtualenv; Anaconda/Miniconda distributions and conda package-and environment-management system ; Packages for scientific computing, data science, machine learning, deep learning, and computer vision; Jupyter Notebook; Trying Jupiter Notebook online ; Installing the Jupyter Notebook; Installing Jupyter using Anaconda 
505 8 |a Installing Jupyter with pipThe OpenCV and Python project structure; Our first Python and OpenCV project; Summary; Questions; Further reading; Chapter 2: Image Basics in OpenCV; Technical requirements; A theoretical introduction to image basics; Main problems in image processing; Image-processing steps; Images formulation; Concepts of pixels, colors, channels, images, and color spaces; File extensions; The coordinate system in OpenCV; Accessing and manipulating pixels in OpenCV; Accessing and manipulating pixels in OpenCV with BGR images 
505 8 |a Accessing and manipulating pixels in OpenCV with grayscale imagesBGR order in OpenCV; Summary; Questions; Further reading; Chapter 3: Handling Files and Images; Technical requirements; An introduction to handling files and images; sys.argv; Argparse -- command-line option and argument parsing; Reading and writing images; Reading images in OpenCV; Reading and writing images in OpenCV; Reading camera frames and video files; Reading camera frames; Accessing some properties of the capture object; Saving camera frames; Reading a video file; Reading from an IP camera; Writing a video file 
505 8 |a Calculating frames per secondConsiderations for writing a video file; Playing with video capture properties; Getting all the properties from the video capture object; Using the properties -- playing a video backwards; Summary; Questions; Further reading; Chapter 4: Constructing Basic Shapes in OpenCV; Technical requirements; A theoretical introduction to drawing in OpenCV; Drawing shapes; Basic shapes -- lines, rectangles, and circles; Drawing lines; Drawing rectangles; Drawing circles; Understanding advanced shapes; Drawing a clip line; Drawing arrows; Drawing ellipses; Drawing polygons 
520 |a Mastering OpenCV 4 with Python is a comprehensive guide to help you to get acquainted with various computer vision algorithms running in real-time. This book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vision techniques. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a OpenCV (Computer program language) 
650 0 |a Computer vision. 
650 0 |a Python (Computer program language) 
650 0 |a Image processing. 
650 0 |a Machine learning. 
650 6 |a OpenCV (Langage de programmation) 
650 6 |a Vision par ordinateur. 
650 6 |a Python (Langage de programmation) 
650 6 |a Traitement d'images. 
650 6 |a Apprentissage automatique. 
650 7 |a image processing.  |2 aat 
650 7 |a Computer vision  |2 fast 
650 7 |a Image processing  |2 fast 
650 7 |a Machine learning  |2 fast 
650 7 |a OpenCV (Computer program language)  |2 fast 
650 7 |a Python (Computer program language)  |2 fast 
776 0 8 |i Print version:  |a Fernández Villán, Alberto.  |t Mastering OpenCV 4 with Python : A Practical Guide Covering Topics from Image Processing, Augmented Reality to Deep Learning with OpenCV 4 and Python 3. 7.  |d Birmingham : Packt Publishing Ltd, ©2019  |z 9781789344912 
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