Computer Vision - Image Basics with OpenCV and Python

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在此指导项目中,您将:

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初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

OpencvPython ProgrammingJupyter Notebook

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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