Welcome to the OpenCV Basics series. In this series, we'll be going through all the basics of OpenCV from the ground up.

In this video you'll learn how to:
1. Apply Canny Edge Detection to Images
2. Tweak and Tune Detection Parameters to improve Results
3. Export final detections

Get the code:

Links
Documentation: https://docs.opencv.org/3.4/da/d22/tutorial_py_canny.html

Chapters:
0:00 - Start
0:12 - Intro
0:46 - Gameplan
1:20 - Tutorial Start
3:06 - Import Dependencies
3:59 - Load Image
7:07 - Viewing and Resizing Images
10:54 - Applying Canny Edge Detection
13:30 - Reducing Noise with a Gaussian Blur
16:12 - Preprocessing with Grayscale
18:36 - Exporting Results

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!