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You're reading from  Computer Vision Projects with OpenCV and Python 3

Product typeBook
Published inDec 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789954555
Edition1st Edition
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Matthew Rever
Matthew Rever
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Matthew Rever

Matthew Rever received his PhD. in electrical engineering from the University of Michigan, Ann Arbor. His career revolves around image processing, computer vision, and machine learning for scientific research applications. He started programming in C++, a language he still uses today, over 20 years ago, and has also used Matlab and most heavily Python in the past few years, using OpenCV, SciPy, scikit-learn, TensorFlow, and PyTorch. He believes it is important to stay up to date on the latest tools to be as productive as possible. Dr. Rever is the author of Packt's Computer Vision Projects with Python 3 and Advanced Computer Vision Projects.
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Introducing dlib

dlib is a general-purpose, cross-platform software library written in the programming language C++. We are going to learn dlib and understand how to find and use human facial features from images and videos. According to their own website, dlib.net, dlib is a modern C++ tool containing machine learning algorithms and tools for creating complex software in C++ to solve real-world problems. It is a C++ toolkit and, just like OpenCV, it contains a very nice set of Python bindings that will work very well for our applications.

dlib is a very rich library and contains a whole lot of algorithms and features, which are very well documented on their website. This makes it easy to learn from, and it has a whole lot of examples similar to what we're going to do in this chapter and for your customized projects. It is recommended that you check their website if you&apos...

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Computer Vision Projects with OpenCV and Python 3
Published in: Dec 2018Publisher: PacktISBN-13: 9781789954555

Author (1)

author image
Matthew Rever

Matthew Rever received his PhD. in electrical engineering from the University of Michigan, Ann Arbor. His career revolves around image processing, computer vision, and machine learning for scientific research applications. He started programming in C++, a language he still uses today, over 20 years ago, and has also used Matlab and most heavily Python in the past few years, using OpenCV, SciPy, scikit-learn, TensorFlow, and PyTorch. He believes it is important to stay up to date on the latest tools to be as productive as possible. Dr. Rever is the author of Packt's Computer Vision Projects with Python 3 and Advanced Computer Vision Projects.
Read more about Matthew Rever