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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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
- 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
- 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
- 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
- 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