Computer Vision: Face Recognition Quick Starter in Python faq

star-rating
4.3
learnersLearners: 5,685
instructor Instructor: Abhilash Nelson instructor-icon
duration Duration: duration-icon

This course is designed to provide new learners with an introduction to face recognition using Python. It covers topics such as Python Deep Learning based Face Detection, Face Recognition, Emotion, Gender and Age Classification, as well as popular models such as Haar Cascade, HOG, SSD, MMOD, MTCNN, EigenFace, FisherFace, VGGFace, FaceNet, OpenFace, and DeepFace. Learn how to prepare your computer for Python coding, install the necessary dependencies and libraries, detect faces from images and videos, customize the face detection program, and recognize facial expressions using pre-trained deep learning models. With this Computer Vision: Face Recognition Quick Starter in Python course, you will be able to master the basics of face recognition in no time!

ADVERTISEMENT

Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2023-01-27

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course is designed to provide new learners with an introduction to face recognition using Python. It covers topics such as Python Deep Learning based Face Detection, Face Recognition, Emotion, Gender and Age Classification, as well as popular models such as Haar Cascade, HOG, SSD, MMOD, MTCNN, EigenFace, FisherFace, VGGFace, FaceNet, OpenFace, and DeepFace. Learners will be guided through the process of downloading and installing the Anaconda package, as well as how to install the necessary dependencies and libraries. An understanding of the basics and workings of face detectors will be gained, allowing learners to detect faces from images and videos, as well as customize the face detection program to blur the detected faces dynamically from the webcam video stream. Finally, learners will be able to recognize facial expressions using pre-trained deep learning models.

Course Syllabus

Course Introduction and Table of Contents

Introduction to Face Recognition

Environment Setup: Installing Anaconda Package

Python Basics (Optional)

Setting up Environment - Additional Dependencies (With DLib Fixes)

(Optional) DLib Error : Downgrading Python and Fixing

Introduction to Face Detectors

Face Detection Implementation

Optional: cv2.imshow() Not Responding Issue Fix

Realtime face detection from WebCam

Video Face Detection

Realtime face detection - Face Blurring

Real-time Facial Expression Detection - Installing Libraries

Real-time Facial Expression Detection - Implementation

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 Implementation

Introduction to Face Recognition

Face Recognition Implementation

Realtime Face Recognition

Video Face Recognition

Face Distance

Face Landmarks Visualization

Multi Face Landmarks

Multi Face Landmarks from Real-time and Pre-saved Video

Face Makeup Using Face Landmarks

Real-time Face Makeup

Face Detection using Other popular libraries Intro

Face Detection Image using Haar Cascade

Video and Realtime Face Detection using Haar Cascade

Face Detection using HOG Introduction

Face Detection from Image using HOG

Face Detection from Video and Webcam using HOG

SSD Face Detection Introduction

Face Detection from Image using SSD

Face Detection From Video and Webcam using SSD

Face Detection from Image using MMOD

Face Detection From Video and Webcam using MMOD

Face Detection Image using MTCNN - introduction

Face Detection Image using MTCNN

Quick Comparison of Face Detection Techniques

Face Alignment using Dlib

Face Alignment for Video and Webcam

Popular Face Recognition Techniques Introduction

Eigenface Fisherface LBPH Concepts Explained

Eigenface Fisherface LBPH Preparing Dataset Installing Prerequisites

Eigenface Fisherface LBPH - Implementing Face Detection function

Eigenface Fisherface LBPH - Implementing Preprocessing

Eigenface Fisherface LBPH - Implementing Training and Prediction

Saving and loading the pretrained model

Video and Realtime Face Recognition using pretrained model

Eigenface Fisherface LBPH Quick Comparison

VGG Face Introduction

VGGFace Face Verification

VGGFace Face Verification video and realtime

FaceNet. OpenFace and DeepFace Models Introduction

Installing DeepFace framework

DeepFace face detection and alignment

DeepFace face verification

DeepFace face recognition

DeepFace face analysis

SOURCE CODE AND FILES ATTACHED

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Computer Vision: Face Recognition Quick Starter in Python

faq FAQ for Face Detection Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 5685 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Face Detection courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.