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学生对 Coursera Project Network 提供的 Computer Vision - Image Basics with OpenCV and Python 的评价和反馈

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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....



Jun 6, 2020

It was awesome course only problem was tool window was not opening so had to do with my jupyter notebook. also if both the windows could expand it will give ease of reading the codes.


May 20, 2020

A very good course with applications in Image tagging and shape creations for tagging objects in an image using OpenCV. Highly recommended!


1 - Computer Vision - Image Basics with OpenCV and Python 的 25 个评论(共 110 个)

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