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Hands-On Java Deep Learning for Computer Vision

You're reading from   Hands-On Java Deep Learning for Computer Vision Implement machine learning and neural network methodologies to perform computer vision-related tasks

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789613964
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Klevis Ramo Klevis Ramo
Author Profile Icon Klevis Ramo
Klevis Ramo
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Table of Contents (8) Chapters Close

Preface 1. Introduction to Computer Vision and Training Neural Networks 2. Convolutional Neural Network Architectures FREE CHAPTER 3. Transfer Learning and Deep CNN Architectures 4. Real-Time Object Detection 5. Creating Art with Neural Style Transfer 6. Face Recognition 7. Other Books You May Enjoy

Max suppression and anchor boxes

Now we'll solve the problem of choosing the best bounding box from many such boxes generated during the testing time, and the challenge of when a window happens to own more than one bounding box center.

Max suppression

Although during training we assign only one bounding box to a window, the one that owned the center, during testing it can happen that many windows think that they have the center of the best bounding box.

For example, we may have three bounding boxes, and therefore three windows on the center of the bounding boxes, and each of these windows thinks that they have the best bounding box:

But what we'll need is only one bounding box, and preferably the best one. Max suspension...

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