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.
Requirements:
- A decent configuration computer
- An enthusiasm to dive into the world of Computer Vision based Face Recognition
Who this course is for:
- Those who want to start with Python-based Face Recognition
Computer Vision: Face Recognition With Deep Learning Using Python will cover the following topics:
Section 1 - Course Introduction
- Course Introduction
- Introduction To Face Recognition
- Installing Anaconda
- Course Resources
Section 2 - Python Basics
- Python Basics – Assignment
- Python Basics – Data Structures
- Python Basics – Flow Control
- Python Basics – Functions
Section 3 - Setting Up The Environment
- Setting Up The Environment – Additional Dependencies Part 1
- Setting Up The Environment – Additional Dependencies Part 2
- Optional – DLib Error – Downgrading Python And Fixing
Section 4 - Face Detection
- Introduction To Face Detectors
- Face Detection Implementation Part 1
- Face Detection Implementation Part 2
- Real Time Face Detection Part 1
- Real Time Face Detection Part 2
- Video Face Detection
- Real Time Face Detection Blur
- Real Time Facial Expression Detection – Installing Libraries
- Real Time Facial Expression Detection Implementation Part 1
- Real Time Facial Expression Detection Implementation Part 2
- Video Facial Expression Detection
- Image Facial Expression Detection
- Real Time Age And Gender Detection Introduction
- Real Time Age And Gender Detection Implementation
- Image Age And Gender Detection
Section 5 - Face Recognition
- Introduction To Face Recognition
- Face Recognition Implementation Part 1
- Face Recognition Implementation Part 2
- Real Time Face Recognition Part 1
- Real Time Face Recognition Part 2
- Video Face Recognition
- Face Distance Part 1
- Face Distance Part 2
- Face Landmarks Visualization Part 1
- Face Landmarks Visualization Part 2
- Multi Face Landmarks
- Real Time Video Multi Face Landmarks
- Face Makeup Using Face Landmarks
- Real Time Face Makeup
- Course Resources
