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Computer Vision - Image Basics with OpenCV and Python

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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.

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Dive into the world of Computer Vision with OpenCV and Python in this hands-on, 1-hour project-based course. Ideal for beginners with basic Python knowledge, you'll use pre-configured cloud desktops via Coursera's Rhyme platform, ensuring a seamless learning experience. Perfect for North America-based learners, access the course for free and master image processing with ease.