Learn Computer Vision with OpenCV Library using Python

Build a face detection program using the OpenCV library with Python
Rating: 3.7 out of 5 (2,401 ratings)
31,995 students
Learn Computer Vision with OpenCV Library using Python
Rating: 3.7 out of 5 (2,401 ratings)
31,995 students
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

Course content

8 sections • 25 lectures • 1h 10m total length
  • Let's Learn!
    02:00

Instructor

Python,computer vision and machine learning
Frederick Ngoiya
  • 3.7 Instructor Rating
  • 2,401 Reviews
  • 31,990 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.