This course covers the fundamental of OpenCV and it is designed to be project oriented. Instead of going over command after command available in OpenCV, we will be tackling various computer vision problems. And then while working through each vision problem, we will learn new openCV commands and apply them to solve the vision problem at hand.

Below are 7 vision problems we will work through. The vision problems in the beginning are rather simple where you will encounter many new concepts and commands. As we progress through, the problems will get harder and they will build on top of the knowledge you would have gained in the previous problems.

1. Encode/Decode Secret Messages in the Mona Lisa Picture

2. Adding time Elapsed to an existing video, like in those director's cut movies

3. Determine how many pieces of candy are left

4. Count Candy pieces off Camera Video

5. Finding the queen in the game of carrom board

6. Determine if an employee wearing company t-shirt is present on the floor via camera

7. Count the number of eggs in the box

Here are the most common concepts your will learn and apply in this course:

1. Image & Video Data Structure

2. Image Pre-processing (Erode, Dilate etc.)

3. Contour Detection

4. Region of Interest Detection

5. Color Space Manipulation

6. Image Processing Pipeline

Note: This course has been updated and as of March 2021 it utilizes the newer constructs of OpenCV