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All LessonsFree Lessons (5)

Introduction

Course Overview Face Technologies A Walk through Top Python Libraries for Face Analysis Quiz: Face Technology Basics

Core Functions

Face Detection Face Landmarking Using Dlib Face Landmarking Using Mediapipe Delaunay Triangulation of Facial Landmarks Face Alignment Quiz: Core Functions

Project

Face Detection Using Dlib and DNN in OpenCV

Predictive Analytics

Gender Prediction

Emotions Prediction

Race Prediction

Beauty Prediction

Quiz: Predictive Analytics

Manipulation Functions

Recognizing Eyes Color Calculate Eyes Open Ratio Detect Eyeglasses Recognizing Lips Color Detect Skin Tone Detect Hair Color Face Swap Swap the Eyes Drawing Face Filter Blurring Face Cartoonify a Face Add Virtual Glasses Change or Remove Backgrounds Expand Facial Features Detect Face Shape Age Faces Automatically Colorize Face Photos Add AR Effects to Faces Quiz: Manipulation Functions

Virtual Makeover Functions

Introduction Change Lip Color Reshape Eyebrows Draw Eyeliner on the Eyes Applying Blush Change Hair Colors Quiz: Virtual Makeover Functions

Face Recognition

Introduction Face Encoding Face Matching Using the Manhattan Distance Algorithm Face Matching Using the Euclidean Distance Algorithm Quiz: Face Recognition

Conclusion

Appendices

Appendix A: External Python Libraries Appendix B: Setup of Dependencies

Analyzing and Transforming Faces in Python/

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Quiz: Predictive Analytics

Quiz: Predictive Analytics

Evaluate your knowledge of the predictive analytics functionalities.

We'll cover the following...

Technical Quiz

1.

(Select all that apply.) Which attributes can be estimated from facial analysis?

A.

Age

B.

Gender

C.

Marital status

D.

Emotions

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