Analyzing and Transforming Faces in Python

Perform facial recognition with Python libraries MediaPipe, Dlib, and DeepFace. Explore face detection, analytics, and transformation effects, gaining crucial biometric software skills.

Beginner

50 Lessons

15h

Certificate of Completion

Perform facial recognition with Python libraries MediaPipe, Dlib, and DeepFace. Explore face detection, analytics, and transformation effects, gaining crucial biometric software skills.

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Explanations

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Explanations

This course includes

39 Playgrounds

6 Quizzes

This course includes

39 Playgrounds

6 Quizzes

Course Overview

Face analysis technology is a rapidly growing biometric software discipline with wide-ranging applications in surveillance, forensics, game design, and social media. As with other machine learning domains, Python has several libraries for computer vision, image analysis, and pattern recognition that make it ideal for facial analysis. This course is a hands-on introduction to facial recognition with three unique libraries—MediaPipe, Dlib, and DeepFace. You’ll start with face detection, landmarking, and face...Show More

TAKEAWAY SKILLS

Python

Machine Learning

Deep Neural Networks

What You'll Learn

A strong understanding of the basics of facial recognition

A working knowledge of three unique machine learning libraries: MediaPipe, Dlib, and DeepFace

A deep familiarity with common facial analysis techniques using Python

The ability to use deep neural networks to identify age, gender, race, and emotion from facial expressions

The ability to apply various artistic effects to faces

A complete perspective on facial recognition models and the tools to build a multifaceted model to common facial analysis tasks

Hands-on experience with Python, MediaPipe, Dlib, and DeepFace for facial analysis

What You'll Learn

A strong understanding of the basics of facial recognition

Course Content

Introduction

Get familiar with Python-based face analysis technologies, libraries, and their real-world applications.

Course Overview

Face Technologies

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

Core Functions

Unpack the core of face detection, landmarking, triangulation, and alignment techniques in Python.

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

Face Detection Using Dlib and DNN in OpenCV

Project

Predictive Analytics

Examine age, gender, emotion, race, and beauty prediction using facial images in Python.

Age Prediction Gender Prediction Emotions Prediction

Race Prediction Beauty Prediction Quiz: Predictive Analytics

Manipulation Functions

Grasp the fundamentals of face manipulation functions using Python for enhanced image analysis.

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

Dig deeper into the implementation of Python functions for virtual makeup application in images.

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

Face Recognition

5 Lessons

Follow the process of facial recognition using encodings and distance algorithms in Python.

Conclusion

1 Lesson

Approach face-related applications with Python, from virtual makeovers to emotion estimation.

Appendices

2 Lessons

Break down essential Python libraries and setup steps for face analysis projects.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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