Computer Vision - Image Basics with OpenCV and Python

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612 個評分
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Coursera Project Network
12,915 人已註冊
在此指導項目中,您將:

How to open an Image with Matplotlib

Differences between Matplotlib and OpenCV

The 3 main points to remember when working with OpenCV

How to Flip, resize an image, how to draw shapes and write on an image

Clock2 hours
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

OpencvPython ProgrammingJupyter Notebook

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Task 1: Introduction

  2. Task 2: How to open an Image with Matplotlib

  3. Task 3: Get familiar with RGB channels

  4. Task 4: Differences between Matplotlib and OpenCV

  5. Task 5: Resize & Flip an Image

  6. Task 6: Draw Shapes on an Image (Part 1)

  7. Task 7: Draw Shapes on an Image (Part 2)

  8. Task 8: Draw with the Mouse

  9. Task 9: Event Choices for the Mouse

  10. Task 10: Mouse Functionality

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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