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Computer Vision Projects with OpenCV and Python 3

You're reading from   Computer Vision Projects with OpenCV and Python 3 Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789954555
Length 182 pages
Edition 1st Edition
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Author (1):
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Matthew Rever Matthew Rever
Author Profile Icon Matthew Rever
Matthew Rever
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Table of Contents (9) Chapters Close

Preface 1. Setting Up an Anaconda Environment FREE CHAPTER 2. Image Captioning with TensorFlow 3. Reading License Plates with OpenCV 4. Human Pose Estimation with TensorFlow 5. Handwritten Digit Recognition with scikit-learn and TensorFlow 6. Facial Feature Tracking and Classification with dlib 7. Deep Learning Image Classification with TensorFlow 8. Other Books You May Enjoy

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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