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Python Image Processing Cookbook

You're reading from   Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789537147
Length 438 pages
Edition 1st Edition
Languages
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Toc

Table of Contents (11) Chapters Close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement FREE CHAPTER 3. Image Restoration 4. Binary Image Processing 5. Image Registration 6. Image Segmentation 7. Image Classification 8. Object Detection in Images 9. Face Recognition, Image Captioning, and More 10. Other Books You May Enjoy

Face Recognition, Image Captioning, and More

In this chapter, we will discuss the application of a few advanced machine learning and deep learning techniques to solve a few advanced image processing problems. We will start with a face recognition problem that tries to match a set of faces detected in an image with a fixed set of known faces using deep face embedding representations. You will then learn how to use a few deep learning models to solve problems, such as the age or gender recognition of a human face and automatically colorizing a grayscale image. Another interesting problem we will look at is automatically captioning images with a deep learning model called im2txt. Finally, we will concentrate on a few techniques for image generation. In particular, we will focus on generative models in image processing (for example, a GAN, a VAE, and an RBM), which is a hot topic...

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