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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 learned about the Anaconda distribution and different ways to install Python. We learned how to set up Python using the Anaconda distribution.

Next, we looked at how to install various libraries in Anaconda, to make it easier for us to run various programs. Finally, we learned the basics of Jupyter Notebook and how it works.

In the next chapter, Chapter 2, Image Captioning with TensorFlow, we will look at how to carry out image captioning using TensorFlow.

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