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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 FREE CHAPTER 2. Explore Structure from Motion with the SfM Module 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

Compile OpenCV.js

To compile OpenCV.js, we need to install Emscripten. Emscripten requires the following:

  • Python 2.7
  • Node.js
  • cmake
  • Java runtime

We can install these dependencies following the next instructions:

# Install Python
sudo apt-get install python2.7

# Install node.js
sudo apt-get install nodejs

# Install CMake (optional, only needed for tests and building Binaryen)
sudo apt-get install cmake

# Install Java (optional, only needed for Closure Compiler minification)
sudo apt-get install default-jre

Now, we have to download Emscripten from the GitHub repository:

# Get the emsdk repo
git clone https://github.com/juj/emsdk.git

# Enter that directory
cd emsdk

Now, we only have to update and install the environment variables required by Emscripten and we can do that following the next steps in the command line:

# Download and install the latest SDK tools.
./emsdk install...
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