Uploaded October 2021 | Updated September 2026, 15 minutes ago

---

Wassup! 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 first video you'll learn how to get up and running with OpenCV.

In this video you'll learn how to:
1. Read in images into Python using OpenCV
2. Visualise images inside a Jupyter Notebook with Matplotlib
3. Write out transformed images

Get the code: github.com/nicknochnack/OpenCV-Basics

Links
Documentation: docs.opencv.org/4.5.4
Python Tutorials: docs.opencv.org/4.5.4/d6/d00/tutorial_py_root.html
Download Samples from here: opencv.org/releases

Chapters:
0:00 - Start
0:30 - Explainer
1:15 - Tutorial Kickoff
3:17 - Read in an Image
7:34 - Render images using Matplotlib
10:16 - Reordering Channels
11:46 - Exporting images
15:56 - Wrap up

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

Happy coding!
Nick

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