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Learning OpenCV 3 Computer Vision with Python - Second Edition: Unleash the power of computer vision with Python using OpenCV by Joe Minichino, Joseph Howse

Learning OpenCV 3 Computer Vision with Python - Second Edition: Unleash the power of computer vision with Python using OpenCV

by Joe Minichino , Joseph Howse
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Book cover type: Paperback
  • ISBN13: 9781785283840
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Packt Publishing
  • Publisher Imprint: Packt Publishing
  • Publication Date:
  • Pages: 266
  • Original Price: USD 57.99
  • Language: English
  • Edition: 2 Revised edition
  • Item Weight: 463 grams
  • BISAC Subject(s): Artificial Intelligence / Computer Vision & Pattern Recognition

Unleash the power of computer vision with Python using OpenCV


Key Features:

  • Create impressive applications with OpenCV and Python
  • Familiarize yourself with advanced machine learning concepts
  • Harness the power of computer vision with this easy-to-follow guide


Book Description:

OpenCV 3 is a state-of-the-art computer vision library that allows a great variety of image and video processing operations. Some of the more spectacular and futuristic features such as face recognition or object tracking are easily achievable with OpenCV 3. Learning the basic concepts behind computer vision algorithms, models, and OpenCV's API will enable the development of all sorts of real-world applications, including security and surveillance.


Starting with basic image processing operations, the book will take you through to advanced computer vision concepts. Computer vision is a rapidly evolving science whose applications in the real world are exploding, so this book will appeal to computer vision novices as well as experts of the subject wanting to learn the brand new OpenCV 3.0.0. You will build a theoretical foundation of image processing and video analysis, and progress to the concepts of classification through machine learning, acquiring the technical know-how that will allow you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Finally, the journey will end in the world of artificial neural networks, along with the development of a hand-written digits recognition application.


What You Will Learn:

  • Install and familiarize yourself with OpenCV 3's Python API
  • Grasp the basics of image processing and video analysis
  • Identify and recognize objects in images and videos
  • Detect and recognize faces using OpenCV
  • Train and use your own object classifiers
  • Learn about machine learning concepts in a computer vision context
  • Work with artificial neural networks using OpenCV
  • Develop your own computer vision real-life application

Howse, Joseph: - Joseph Howse lives in a Canadian fishing village with four cats; the cats like fish, but they prefer chicken. Joseph provides computer vision expertise through his company, Nummist Media. His books include OpenCV 4 for Secret Agents, Learning OpenCV 4 Computer Vision with Python 3, OpenCV 3 Blueprints, Android Application Programming with OpenCV 3, iOS Application Development with OpenCV 3, and Python Game Programming by Example, published by Packt.

Minichino, Joe: - Joe Minichino is an R&D labs engineer at Teamwork. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experimenting with them. Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan's Università Statale), Joe has lived in Cork, Ireland, since 2004. There, he became a computer science graduate at the Cork Institute of Technology.

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