Build Lorenzo – A Face Swapping AI
Build an app that detects and swaps faces using Python and Open CV.
- 2.3 Hours of Video
- Certificate of Completion
- Source Code
- Closed Captions
- On-demand, 24/7 access
- 2.3 hours of video
- Certificate of completion
- Source code and PDF notes
- Closed captions
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
Frameworks and tools covered: Python 2.7 (updated for Python 3.7), Anaconda 5.2, NumPy 1.15, OpenCV 2.4.8, Pillow 5.2.0
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This course builds up on the concepts covered in our course Learn Python Image Processing.
Python 3 is used in this course.
It is recommended to take this course as part of the Python Computer Vision Mini-Degree, which includes 8 courses on the fundamentals of coding with Python, and teaches core concepts in computer vision.
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