About This Course

Who this course is for:

  • Those who want to start with Python-based Face Recognition

What you’ll learn: 

  • Understand face recognition technology using Python without having to deal with all the complexities and mathematics associated with the typical Deep Learning process

Requirements: 

  • A decent configuration computer 
  • An enthusiasm to dive into the world of Computer Vision based Face Recognition

Welcome to my course Computer Vision: Face Recognition With Deep Learning Using Python. This is the second course from my Computer Vision series.

Face Detection and Face Recognition are the most used applications of Computer Vision. These techniques allow computers to extract one or more faces in an image or video and then compare it with the existing data to identify people.

In addition, Face Detection and Face Recognition are widely used by governments and organizations for surveillance and policing. We are also making use of them daily in many applications like face unlocking of cell phones, etc.

This course will be a quick starter for people who want to dive deep into face recognition using Python without having to deal with all the complexities and mathematics associated with the typical Deep Learning process.

We will be using a Python library called face-recognition which uses simple classes and methods to get the face recognition implemented with ease. We are also using OpenCV, Dlib and Pillow for Python as supporting libraries.

The code, images, and libraries used in this course has been uploaded and shared in a folder. I will include the link to download them in the last session or the resource section of this course. You are free to use the code in your projects with no questions asked.

Our Promise to You

By the end of this course, you will have learned more about Face Recognition.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more Python-based Face Recognition.

Course Curriculum

Section 1 - Course Introduction
Course Introduction 00:00:00
Introduction To Face Recognition 00:00:00
Installing Anaconda 00:00:00
Course Resources 00:00:00
Section 2 - Python Basics
Python Basics – Assignment 00:00:00
Python Basics – Data Structures 00:00:00
Python Basics – Flow Control 00:00:00
Python Basics – Functions 00:00:00
Section 3 - Setting Up The Environment
Setting Up The Environment – Additional Dependencies Part 1 00:00:00
Setting Up The Environment – Additional Dependencies Part 2 00:00:00
Optional – DLib Error – Downgrading Python And Fixing 00:00:00
Section 4 - Face Detection
Introduction To Face Detectors 00:00:00
Face Detection Implementation Part 1 00:00:00
Face Detection Implementation Part 2 00:00:00
Real Time Face Detection Part 1 00:00:00
Real Time Face Detection Part 2 00:00:00
Video Face Detection 00:00:00
Real Time Face Detection Blur 00:00:00
Real Time Facial Expression Detection – Installing Libraries 00:00:00
Real Time Facial Expression Detection Implementation Part 1 00:00:00
Real Time Facial Expression Detection Implementation Part 2 00:00:00
Video Facial Expression Detection 00:00:00
Image Facial Expression Detection 00:00:00
Real Time Age And Gender Detection Introduction 00:00:00
Real Time Age And Gender Detection Implementation 00:00:00
Image Age And Gender Detection 00:00:00
Section 5 - Face Recognition
Introduction To Face Recognition 00:00:00
Face Recognition Implementation Part 1 00:00:00
Face Recognition Implementation Part 2 00:00:00
Real Time Face Recognition Part 1 00:00:00
Real Time Face Recognition Part 2 00:00:00
Video Face Recognition 00:00:00
Face Distance Part 1 00:00:00
Face Distance Part 2 00:00:00
Face Landmarks Visualization Part 1 00:00:00
Face Landmarks Visualization Part 2 00:00:00
Multi Face Landmarks 00:00:00
Real Time Video Multi Face Landmarks 00:00:00
Face Makeup Using Face Landmarks 00:00:00
Real Time Face Makeup 00:00:00
Course Resources 00:00:00
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