OpenCV 4 with Python Blueprints
Build creative computer vision projects with the latest version of OpenCV 4 and Python 3
$73.83
- Paperback
366 pages
- Release Date
20 March 2020
Summary
Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks
Key Features
- Understand how to capture high-quality image data, detect and track objects, and process the actions of animals or humans
- Implement your learning in different areas of computer vision
- Explore advanced concepts in OpenCV such as machine learning, artificial…
Book Details
| ISBN-13: | 9781789801811 |
|---|---|
| ISBN-10: | 1789801818 |
| Author: | Arsen Mamikonyan, Michael Beyeler, Dr. Menua Gevorgyan Gevorgyan |
| Publisher: | Packt Publishing Limited |
| Imprint: | Packt Publishing Limited |
| Format: | Paperback |
| Number of Pages: | 366 |
| Edition: | 2nd |
| Release Date: | 20 March 2020 |
| Weight: | 694g |
| Dimensions: | 25mm x 191mm x 236mm |
Arsen Mamikonyan
Dr. Menua Gevorgyan is an experienced researcher with a demonstrated history of working in the information technology and services industry. He is skilled in computer vision, deep learning, machine learning, and data science, as well as having extensive experience with OpenCV and Python programming. He is interested in machine perception and machine understanding problems, and wonders if it is possible to make a machine perceive the world as a human does.
Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye). His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.
Arsen Mamikonyan is an experienced machine learning specialist with demonstrated work experience in Silicon Valley and London, and teaching experience at the American University of Armenia. He is skilled in applied machine learning and data science and has built real-life applications using Python and OpenCV, among others. He holds a master’s degree in engineering (MEng) with a concentration on artificial intelligence from the Massachusetts Institute of Technology.
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