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Weekend Project : Build a Face Recognition App with Python
Rating: 4.5 out of 5(13 ratings)
91 students

Weekend Project : Build a Face Recognition App with Python

Learn the easy way of developing your very own Face Recognition App
Created byYew Meng Ng
Last updated 7/2020
English

What you'll learn

  • Artificial Intelligence
  • Face Detection
  • Face Recognition
  • Streamlit

Course content

4 sections11 lectures1h 11m total length
  • Lecture 1: Introduction1:53

    Learn to build a Python face recognition app by training your own images and performing face detection to identify the person in a photo.

  • The Outline0:21
  • Install, Install, Install0:27

Requirements

  • Some basic Python skills

Description

In this 1 hour course, you will learn how to do a face recognition app. There are three main sections in this course.


Section 1:

You will first learn the Face Recognition library, where you will learn how to detect the face and draw bounding box around it.

Once you have learn to detect the faces, you will then learn to recognize it. We will be using a few faces, to compare and to recognize. Do they belong to the same person?


Section 2:

We will be using Streamlit. Streamlit is a new tool, an opensource tool, mainly used to display and interact with our machine learning models.

You will learn the basics of Streamlit. There is so much to learn from Streamlit. Instead of bogging you down with all the stuff, we will learn, just enough, to create our apps!


Section 3:

With the knowledge we have learnt in the previous two sections, we will combine it and create our very own Face Recognition App.


In line with our Weekend Project series, the course is designed to allow you to learn the basics and the specific skills in a short span of time. In one hour, you will gain the basic skills in creating your very own Face Recognition Apps.


Who this course is for:

  • Beginner and Intermediate Python developers
  • Curious minds who want to learn Face Recognition