Build Lorenzo – A Face Swapping AI
This title is part of the Python Computer Vision Mini-Degree
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.
- Face detection techniques:
- Haar Features
- Cascade of Classifiers
- Image Slicing
About the Python Computer Vision Mini-Degree
The Python Computer Vision Mini-Degree is an on-demand curriculum featuring 8 professional-grade courses that are suitable for beginners and more advanced developers alike. This innovative program will teach you how to code in Python, master the fundamentals of Numpy, and understand the core concepts underlying computer vision, including how images are represented and can be manipulated, pattern detection, and video and optical flow.
With such an understanding of these powerful technologies, you’ll be prepared to take on the world as a well-informed and highly prepared developer.