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Computer Vision Projects with OpenCV and Python 3

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

Product type Book
Published in Dec 2018
Publisher Packt
ISBN-13 9781789954555
Pages 182 pages
Edition 1st Edition
Languages
Author (1):
Matthew Rever Matthew Rever
Profile icon Matthew Rever

Table of Contents (9) Chapters

Preface 1. Setting Up an Anaconda Environment 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 how to perform license plate recognition using OpenCV, giving us a good taste of how computer vision and image processing work.

We first learned the different plate utility functions, which helped us find our plate characters. We then found possible candidates for our license plate characters using OpenCV. Finally, we analyzed our results to check the efficiency of our algorithm.

In the next chapter, Chapter 4, Human Pose Estimation with TensorFlow, we're going to use the DeeperCut algorithm, and ArtTrack models for human pose estimation.

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