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Learn OpenCV 4 by Building Projects

You're reading from   Learn OpenCV 4 by Building Projects Build real-world computer vision and image processing applications with OpenCV and C++

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Length 310 pages
Edition 2nd Edition
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Authors (3):
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David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Vinícius G. Mendonça Vinícius G. Mendonça
Author Profile Icon Vinícius G. Mendonça
Vinícius G. Mendonça
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with OpenCV FREE CHAPTER 2. An Introduction to the Basics of OpenCV 3. Learning Graphical User Interfaces 4. Delving into Histogram and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Face detection with SSD

Single Shot Detection (SSD) is another fast and accurate deep learning object-detection method with a similar concept to YOLO, in which the object and bounding box are predicted in the same architecture.

SSD model architecture

The SSD algorithm is called single shot because it predicts the bounding box and the class simultaneously as it processes the image in the same deep learning model. Basically, the architecture is summarized in the following steps:

  1. A 300 x 300 image is input into the architecture.
  2. The input image is passed through multiple convolutional layers, obtaining different features at different scales.
  3. For each feature map obtained in 2, we use a 3 x 3 convolutional filter to evaluate...
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