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Moodle 3.x Developer's Guide: Build custom plugins, extensions, modules and more
Paperback
ISBN13: 9781786467119
Publisher: Packt Pub
Published: Jun 29 2017
Pages: 368
Weight: 1.39
Height: 0.76 Width: 7.50 Depth: 9.25
Language: English
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
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