Udemy – Computer Vision: Face Recognition Quick Starter in Python 2020-7

Description

Computer Vision: Face Recognition Quick Starter in Python is a training course on building a deep Python-based learning model for face recognition, emotion, gender, and age. This is the second course in the machine vision training series (Computer Vision training series). Face detection and detection are the most important and widely used parts in machine vision. Using the techniques taught in this course, computers will be able to extract one or more faces from an image or video and then adapt it to existing data to identify the people in the image. Face detection and face recognition are widely used by governments and organizations for security and safety issues, and of course we use these capabilities in our daily use in applications such as unlocking cell phones with face screens. This course is an introductory course for people who want to learn how to use Python-assisted face recognition without having to deal with the complex mathematics of deep learning.

What you will learn in Computer Vision: Face Recognition Quick Starter in Python

Face detection and detection using images

Face detection and recognition using live video file

Recognize emotion on the face

Gender prediction - age

Course information

Publisher: Udemy Instructors: Abhilash Nelson English language Level of training: basic to advanced Number of courses: 42 Duration: 4 hours and 18 minutes

Prerequisite

A decent configuration computer and an enthusiasm to dive into the world of computer vision based Face Recognition

Installation

After Extract, watch with your favorite Player.

Subtitle: None (based on the course specifications in the image, this course has no subtitles.)

Quality: 720