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OpenCV Tutorial

Learn opencv from basics in this free online training. Opencv course is taught hands-on by experts. Learn how to install opencv and the process of opencv in details with examples. Best for beginners. Enroll for free now!

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Beginner

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3.0 Hrs

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5.8K+
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About this Course

This course will introduce you to the OpenCV library, a powerful Face Detection and Recognition. You will learn to apply machine learning algorithms for face detection. Moving ahead, you will learn the installation steps for OpenCV. Next, you will get familiar with the concepts of Face Detection, Face Recognition, and Deep Learning. In addition, you will learn to implement them through hands-on demonstration. You will also be introduced to a number of applications of OpenCV used in our daily life. Once you finish the course, you can take the quiz to gain a course completion certificate that will benefit you in your career. 

 

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Course Outline

Applications of Face Recognition

This chapter focuses on numerous applications of face recognition in different sectors such as security checking, attendance system, forensic investigations, and validations. Further, you will understand other face recognition applications like face detection in ATMs, traveling by plane, and finding missing people.

Face Recognition using Deep Learning

In this module, you will be familiarized with the term Deep Learning used for face recognition. Moving ahead, you will understand the steps of implementing face recognition using deep learning. Lastly, the tutor will present some examples of real-life based scenarios to help you understand better. 
 

Introduction to OpenCV

This chapter will get you introduced to OpenCV and its application with the help of an example. Next, you will understand how Machine Learning algorithms are applied to OpenCV. Later, you will get to know the steps of using OpenCV. Lastly, the tutor will brief you on some important key concepts of OpenCV.

How to install OpenCV?

You will learn to install the OpenCV library through tutor instructions in this module. You will also understand some important commands to install this library with the help of Python. Moving ahead with the installation steps, you will also learn to use Google Colab to implement face detection and recognition in OpenCV.

 

 

Process of OpenCV

This course starts by explaining how image processing is done in computer vision. Further, you will understand how OpenCV learns image recognition using a Machine Learning algorithm for image detection. Later on, you will be familiarized with some useful functions of the computer vision library. 

Demo on OpenCV Operations

This module first briefly discusses the important operations of computer vision. The tutor will give you a hands-on demo to work with the OpenCV library on the Google Colab platform. In the demo part, you will learn to work with image processing in the computer vision library of Python.

Introduction to Face Detection and Face Recognition

This module helps you to understand face detection and how it works with supporting examples. Next, you will understand a popular face detection algorithm – The Viola-Jones algorithm. Later on, you will learn why face detection is essential for face recognition. Further, the module will conceptualize face recognition, how it can be achieved, and its comparison with face detection.

Demo of Face Detection with OpenCV

In the last module, the tutor will give you a hands-on demo of face detection with OpenCV using Python and Google Colab. The tutor will use the OpenCV library's two different images for face detection and face recognition. 

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OpenCV Tutorial

3.0 Learning Hours . Beginner

Why upskill with us?

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