Computer Vision: Face Recognition Quick Starter in Python

Course Overview

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.