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Analyzing and Transforming Faces in Python

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

Beginner

50 Lessons

15h

Certificate of Completion

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Explanations

AI-POWERED

Explanations

This course includes

39 Playgrounds

6 Quizzes

Course Overview

What You'll Learn

Course Content

Apply Your Skills

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

A strong understanding of the basics of facial recognition

Course Content

Introduction

4 Lessons

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

6 Lessons

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

Predictive Analytics

6 Lessons

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

Quiz: Predictive Analytics

Manipulation Functions

19 Lessons

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

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

7 Lessons

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.

Introduction

Face Encoding

Face Matching Using the Manhattan Distance Algorithm

Face Matching Using the Euclidean Distance Algorithm

Quiz: Face Recognition

Conclusion

1 Lessons

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

Final Thoughts

Appendices

2 Lessons

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

Appendix A: External Python Libraries

Appendix B: Setup of Dependencies

Course Author

Bassem Marji

Project

Vision Transformer for Image Classification

advanced

2 hour

Project

Vision Transformer for Image Classification

Learn to train a Vision Transformer for classifying images from the MNIST dataset, including data preprocessing, augmentation, and evaluation.

advanced

2 hours

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