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Mastering OpenCV 4

You're reading from   Mastering OpenCV 4 A comprehensive guide to building computer vision and image processing applications with C++

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789533576
Length 280 pages
Edition 3rd Edition
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Authors (2):
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Roy Shilkrot Roy Shilkrot
Author Profile Icon Roy Shilkrot
Roy Shilkrot
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Toc

Table of Contents (12) Chapters Close

Preface 1. Cartoonifier and Skin Color Analysis on the RaspberryPi 2. Explore Structure from Motion with the SfM Module FREE CHAPTER 3. Face Landmark and Pose with the Face Module 4. Number Plate Recognition with Deep Convolutional Networks 5. Face Detection and Recognition with the DNN Module 6. Introduction to Web Computer Vision with OpenCV.js 7. Android Camera Calibration and AR Using the ArUco Module 8. iOS Panoramas with the Stitching Module 9. Finding the Best OpenCV Algorithm for the Job 10. Avoiding Common Pitfalls in OpenCV 11. Other Books You May Enjoy

Accessing webcam streams

In the previous section, we learned how to read an image; now, we are going to learn how to read framed images from a webcam stream. To do this, we need the following HTML elements:

  • An alert box to show when OpenCV.js is loaded; because OpenCV.js is heavy and will take a few seconds to load on the client browser, then we are going to load it asynchronously and when it's loaded, we will start to load the other required code and user interfaces.
  • A video element to load the client video stream with the ID videoInput.
  • A Canvas element which shows the result of our algorithm.
  • A button to start processing video frames with the ID cv_start, which is initially hidden.

We are going to maintain the same alert box and canvas elements used in the previous sample and add two new elements, a button using the link and a video HTML element, as we can see in the...

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