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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

Summary

In this chapter, we had a brief introduction to the dlib library and learned how to use it for facial recognition. We then learned how to generate the outline for a face using the 68 facial landmarks pre-trained model. Later, we learned how to find the facial landmarks for a single person, multiple people, and for people in videos.

In the next chapter, Chapter 7, Deep Learning Image Classification with TensorFlow, we'll learn how to classify images with TensorFlow using a pre-trained model, and later we'll use our own custom images.

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