Video Basics with OpenCV and Python

4.1
190 個評分
提供方
Coursera Project Network
6,940 人已註冊
在此指導項目中,您將:

Connect with you comouter's camera, record yourself and save it.

Interact with video files you have on your computer or with live videos.

Do your first Face Detection.

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 connect to your computer's camera, open it, record yourself or something, save it, open the video file you have saved, draw on live video, interact on live video and at the end do Face Detection. 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 (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should have a fundamental 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. You'll connect to your computer's camera, open it, record yourself and save it.

  2. Open the video file you saved on the previous task.

  3. Open your computers camera and draw on live video.

  4. Open your computers camera and interact on live video.

  5. Open your computers camera and interact on live video, part 2.

  6. Do your first Face Detection

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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