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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

Estimating a human pose using a deep learning model

Human pose estimation is an image processing/computer vision task that predicts different keypoints' (joints/landmarks—for example, elbows, knees, neck, shoulder, hips, and chest) locations in the human skeleton, representing the pose (orientation) of a human (sets of coordinates are connected to find a person's overall pose). A limb/pair is defined by a valid connection between two parts; some combinations of two parts may not form valid pairs.

Multiperson pose estimation is harder than its single-person counterpart, as both the number of people in an image along with the locations are not known. As a bottom-up approach to solve this problem, all parts of the image for all the featured people are first detected and then those parts corresponding to individuals are associated/grouped. A popular bottom-up approach...

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