Build Lorenzo – A Face Swapping AI [2017]

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In this course we’ll build an app that can swap two faces from an image using Python and OpenCV. Given an image with two faces, this app will identify each face and will swap them, creating a new image.

This course is centered around the notion of face detection which will be covered in detail. This will be covered with an intuitive approach, and include techniques such as Haar Features, Adaboost, Cascade of Classifiers and Image Slicing, and how these are being used in AIs that detect faces.

Learning goal:

  • Face detection techniques:
  • Haar Features
  • Adaboost
  • Cascade of Classifiers
  • Image Slicing
<p>This course builds up on the concepts covered in our course <a href="https://academy.zenva.com/product/python-image-processing-by-making-instagram-style-filters/">Learn Python Image Processing</a>.</p> <p>Python 3 is used in this course.</p> <p>It is recommended to take this course as part of the <a href="https://academy.zenva.com/product/python-computer-vision-mini-degree/">Python Computer Vision Mini-Degree</a>, which includes 8 courses on the fundamentals of coding with Python, and teaches core concepts in computer vision.</p>
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