Learn Computer Vision with OpenCV Library using Python

Name: Learn Computer Vision with OpenCV Library using Python
Rating: 3.7 (2879 reviews)

Build a face detection program using the OpenCV library with Python

Free tutorial

(2,879 ratings)

51,417 students

1hr 11min of on-demand video

Created by Frederick Ngoiya

English

English [Auto]

Learn how to use the OpenCV library

Build you own image face detection program

Learn different tools used in image processing

Learn how to use different tools of image filtering with the OpenCV library

Requirements

Installation of Python and OpenCV on your computer. We'll cover this in lecture 3 and 4

Description

When you watch the promo above you, can see that I have taken a practical approach in explaining computer vision concepts using the image and video processing library OpenCV. Furthermore the practical approach I have taken, involves writing and implementing code in a way that a complete beginner will be able to follow along and understand.

What you will love about this course ,is that it is easy to follow along with. All you have to do is watch what I do and try to implement it yourself. I have tried to explain some the functions as simple and brief as possible so that a complete beginner would be able to understand.This course is for you if you are interested in computer vision and want to learn how to use the OpenCv library.

Who this course is for:

For a complete beginner in computer vision

Featured review

Hirak Jyoti D.

4 courses

1 review

5 years ago

Thanks, you. Sir. For giving this informational and awesome course of opencv computer vision. I wish that you would create a tutorial on python Kivy as i wanted to learn it and also on python GUI development. Thank You I would be very grateful for that.

Frederick Ngoiya

Python,computer vision and machine learning

3.7 Instructor Rating
2,879 Reviews
51,417 Students
1 Course

I am currently in my senior year pursuing Bachelor’s degree in Electrical Engineering at University of South Florida. I am a Python developer, passionate about computer vision, machine learning and signal processing. I love learning and teaching. I currently work as a teacher assistant at the university, teaching foundations of engineering.