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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!
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