Computer Vision - Image Basics with OpenCV and Python

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.

• Computer Vision - Image Basics with OpenCV and Python
• At this project, you will learn how to open an image with Matplotlib, change the colours of the image and rotate the image.
  Then you'll open an image with OpenCV, learn the main points to keep in mind when working with OpenCV, flip the image, scale it to Gray. Create an image with Numpy and learn how to draw lines, shapes and write text on them.
  Finally, you'll draw shapes on an image, that you'll create with Numpy, with your mouse.