Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 589 MB
Genre: eLearning Video | Duration: 11 lectures (1 hour, 11 mins) | Language: English
Learn the easy way of developing your very own Face Recognition App
What you'll learn
Artificial Intelligence
Face Detection
Face Recognition
Streamlit
Course content
4 sections * 11 lectures * 1h 11m total length
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
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Code:
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