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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

Image completion with inpainting using deep learning

In this recipe, you will learn how a Fully-Convolutional deep learning Network (FCN, called a Completion Network model, from a recent paper, Globally and Locally Consistent Image Completion from SIGGRAPH 2017) can be used to complete the missing parts of a (previously unseen) image. We shall specifically use a pre-trained version of the neural network model to predict the missing parts in an image. The model will accept an input image and a mask (corresponding to the missing parts in the image) and try to predict the missing parts from the information provided by the remaining (incomplete) image.

Getting ready

Download the pre-trained torch model for Globally and Locally...

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