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Mastering Computer Vision with TensorFlow 2.x
book

Mastering Computer Vision with TensorFlow 2.x

by Krishnendu Kar
May 2020
Beginner to intermediate
430 pages
10h 39m
English
Packt Publishing
Content preview from Mastering Computer Vision with TensorFlow 2.x

Top-down approach

The first paper is titled Toward Accurate Multi-person Pose Estimation in the Wild and was written by George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, and Kevin Murphy. You can find the paper at https://arxiv.org/abs/1701.01779.

This is a two-stage, top-down approach:

  • The bounding box coordinates (x,y,w,h) are determined using Faster R-CNN with the ResNet-101 network backbone. Faster R-CNN and ResNet were introduced in Chapter 5, Neural Network Architecture and Models, but using them together in real-world implementations will be introduced in Chapter 10, Object Detection Using R-CNN, SSD, and R-FCN. This classification has only been done on one category–humans. All the bounding ...
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Publisher Resources

ISBN: 9781838827069Supplemental Content