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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 Setting Up an Anaconda Environment Image Captioning with TensorFlow Reading License Plates with OpenCV Human Pose Estimation with TensorFlow Handwritten Digit Recognition with scikit-learn and TensorFlow Facial Feature Tracking and Classification with dlib Deep Learning Image Classification with TensorFlow Other Books You May Enjoy

Summary

In this chapter, we learned how to perform digit classification with TensorFlow using softmax. We learned how to acquire and process MNIST digit data. We then learned how to create and train a support vector machine, and apply it to new data.

In the next chapter, we will learn facial feature tracking and classification using dlib.

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