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Project: Computer Vision - Image Basics with OpenCV and Python

Project: Computer Vision – Image Basics with OpenCV and Python

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8.6/10 (Our Score)
Product is rated as #182 in category 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.

Instructor Details

Full-time family man | Ex-army Helicopter Pilot | Kendo Instructor | Dreamer | Learner | Speaker | Traveller |Writter Data Analyst - Scientist | Beta Tester at Coursera | Lead GDG Cloud Thessaloniki |Rhyme Instructor

Specification: Project: Computer Vision – Image Basics with OpenCV and Python

Duration

4 hours

Year

2020

Level

Beginner

Certificate

Yes

Quizzes

Yes

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Project: Computer Vision – Image Basics with OpenCV and Python
Project: Computer Vision – Image Basics with OpenCV and Python

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