This course has been archived and is no longer supported.  For our latest courses on computer vision, consider trying our evergreen curriculums with a 1-Year Unlimited Access Package.

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