Build Lorenzo - A Face Swapping AI

Build Lorenzo – A Face Swapping AI

$50

$50
Includes:
  • 14 Lessons
  • Lifetime, 24/7 Access
  • Certificate of Completion
  • Closed Captions
Join 350,000 Satisfied Students
$50

Overview

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.

Learning goal:

  • Face detection techniques:
  • Haar Features
  • Adaboost
  • 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.

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Curriculum

Requirements

    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 Mini-Degree, which includes 12 courses on Python, Computer Vision, Machine Learning, Deep Learning and much more.

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