Learn Computer Vision with OpenCV Library using Python
3.7 (216 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
4,213 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Learn Computer Vision with OpenCV Library using Python to your Wishlist.

Add to Wishlist

Learn Computer Vision with OpenCV Library using Python

Build a face detection program using the OpenCV library with Python
3.7 (216 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
4,213 students enrolled
Created by Frederick Ngoiya
Last updated 8/2016
English
English [Auto-generated]
Price: Free
Includes:
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • 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
View Curriculum
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 is the target audience?
  • For a complete beginner in computer vision
Compare to Other Computer Vision Courses
Curriculum For This Course
25 Lectures
01:10:50
+
Let's Learn!
1 Lecture 02:00
Let's Learn!
02:00
+
Image Fudamentals
5 Lectures 08:31
Introduction: What is an image
01:18

Mac OSX Python 3 and OpenCV installation
01:37

Windows Python and OpenCV installation
02:08

How read an Image
02:25

How to save an image in a different format
01:03
+
Drawing shapes and writing text on an image
6 Lectures 10:31
Drawing
00:41

Drawing a rectangle
02:26

Drawing a line
01:23

Drawing a circle
02:18

Writing text
02:21

Drawing combination
01:22
+
Image Processing
3 Lectures 13:07
Image Transformation
02:22

Image Rotation
03:07

Image Thresholding
07:38
+
Image Filtering
3 Lectures 14:30
Gaussian Blur
04:35

Median Blur
04:50

Bilateral Filtering
05:05
+
Feature Detection
1 Lecture 05:32
Canny Edge Detector
05:32
+
Video Analysis
2 Lectures 07:50
Load a video
04:39

Save a video in a different format
03:11
+
Applications
4 Lectures 08:49
Introduction to Image Face Detection
00:52

Real time face detection using webcam
02:24

Image Face Detection
03:09

Real image face detection using webcam
02:24
About the Instructor
Frederick Ngoiya
3.7 Average rating
215 Reviews
4,213 Students
1 Course
Python,computer vision and machine learning

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.