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.
由 CK 提供Jun 3, 2020
need more guided projects specifically this topic , and thanks to ilias for doing this.
由 YP 提供Sep 2, 2020
Great for those who want hands-on on using python libraries like numpy, matplotlib, openCV.
由 SV 提供Jun 13, 2020
It was a good course. But a very short one, I was hoping to learn more about image manipulation.
由 SM 提供Jun 18, 2020
The course was pretty good and to the point. But the cloud user interface was too sluggish. The instructor is awesome and understandable.