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.

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Face Detection

Face Landmarking Using Dlib

Face Landmarking Using MediaPipe

Delaunay Triangulation of Facial Landmarks

Face Alignment

Age Prediction

Gender Prediction

Emotions Prediction

Race Prediction

Recognizing Eyes Color

Calculating Eyes Open Ratio

Detecting Eyeglasses

Recognizing Lips Color

Changing Lips Color

Detecting Skin Color

Swapping Faces

Swapping Eyes

Drawing Face Filter

Blurring Face

Cartooning Face

Face Encoding

Face Matching - Manhattan

Face Matching - Euclidean

Try Virtual Glasses

Change Background

Expand Face Features

Remove Background

Predict Beauty

Detect Face Shape

Condense Eyebrows

Drawing Eyeliners

Applying Blush

Detect Hair Color

Change Hair Color

Aging Faces

Auto-colorize Facial Photos

Calculate Face Golden Ratios

Add AR effects To Facial Photos

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 alignment before exploring common analytics like age, gender, and emotional prediction based on facial expressions. Next, you’ll identify common facial features before transforming them by adding blurring, sketching, and cartoon effects or swapping color palettes. You’ll finish by performing full makeover functions, manipulating cheeks, lips, eyes, and brows.

By the end of this course, you’ll have a strong foundation in popular facial recognition and manipulation libraries in Python.

Analyzing and Transforming Faces in Python

## Introduction
Blush is a makeup product that is used to add a flush of color onto the apple of the cheeks and create a rosy, natural-looking glow. It can also take your makeup game to the next level. 

A few swipes of blush are able to:
* Enhance face shape
* Soften cheekbones

Add a rosy tint to the cheeks

## Objective

Adding virtual blush can give photos a glamorous look. This lesson describes the steps required for developing this kind of utility in the Python programing language.

# Introduction
Blush is a makeup product that is used to add a flush of color onto the apple of the cheeks and create a rosy, natural-looking glow. It can also take your makeup game to the next level. 

A few swipes of blush are able to:
* Enhance face shape
* Soften cheekbones

Add a rosy tint to the cheeks

# Objective

Adding virtual blush can give photos a glamorous look. This lesson describes the steps required for developing this kind of utility in the Python programing language.

Let’s learn how to apply virtual blush.

Introduction

Core Functions

Predictive Analytics

Manipulation Functions

Virtual Makeover Functions

Face Recognition

Conclusion

Appendices

Applying Blush

Introduction

Objective