Computer Vision - Image Basics with OpenCV and Python

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In this Guided Project, you will:

How to open an Image with Matplotlib

Differences between Matplotlib and OpenCV

The 3 main points to remember when working with OpenCV

How to Flip, resize an image, how to draw shapes and write on an image

Clock3 hours/week
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 1-hour long project-based course, you will learn how to do Computer Vision on images with OpenCV and Python using Jupyter Notebook. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and OpenCV pre-installed. Prerequisites: In order to be successful in this project, you should have a basic knowledge of Python. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

OpencvPython ProgrammingJupyter Notebook

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

    How Guided Projects work

    Your workspace is a cloud desktop right in your browser, no download required

    In a split-screen video, your instructor guides you step-by-step

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    Frequently asked questions

    Frequently Asked Questions

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