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
Alberto Fernndez Villn
BIRMINGHAM - MUMBAI
Mastering OpenCV 4 with Python
Copyright 2019 Packt Publishing
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First published: March 2019
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Published by Packt Publishing Ltd.
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ISBN 978-1-78934-491-2
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Contributors
About the author
Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.
About the reviewers
Wilson Choo is a computer vision engineer working on validating computer vision and deep learning algorithms on many different hardware configurations. His strongest skills include algorithm benchmarking, integration, app development, and test automation.
He is also a machine learning and computer vision enthusiast. He often researches trending CVDL algorithms and applies them to solve modern-day problems. Besides that, Wilson likes to participate in hackathons, where he showcases his ideas and competes with other developers. His favorite programming languages are Python and C++.
Vincent Kok is a maker and a software platform application engineer in the transportation industry. He graduated from USM with a MSc in embedded system engineering. Vincent actively involves himself with the developer community, as well as attending Maker Faire events held around the world, such as in Shenzhen in 2014, and in Singapore and Tokyo in 2015. Designing electronics hardware kits and giving soldering/Arduino classes for beginners are some of his favorite ways to spend his free time. Currently, his focus is in computer vision technology, software test automation, deep learning, and constantly keeping himself up to date with the latest technology.
Rubn Usamentiaga is a tenured associate professor in the department of computer science and engineering at the University of Oviedo. He received his M.S. and Ph.D. degrees in computer science from the University of Oviedo in 1999 and 2005, respectively. He has participated in 4 European projects, 3 projects of the National R&D Plan, 2 projects of the Regional Plan of the Principado of Asturias, and 14 contracts with companies. He is the author of more than 60 publications in JCR journals (25 of Q1) and more than 50 publications in international conferences. In addition, he has completed a 6-month research stay at the Aeronautical Technology Center and a 3-month research stay at the University of Laval in Quebec.
Arun Ponnusamy, works as a computer vision research engineer at an AI start-up in India. He is a lifelong learner, passionate about image processing, computer vision, and machine learning. He is an engineering graduate from PSG College of Technology, Coimbatore. He started his career at MulticoreWare Inc., where he spent most of his time on image processing, OpenCV, software optimization, and GPU computing.
Arun loves to understand computer vision concepts clearly and explain them in an intuitive way in his blog and in meetups. He has created an open source Python library for computer vision, named cvlib, which is aimed at simplicity and user friendliness. He is currently working on object detection, action recognition, and generative networks.
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