Computer Vision - Object Detection with OpenCV and Python

3.9
444 個評分
提供方
Coursera Project Network
12,255 人已註冊
在此指導項目中,您將:

Detect Faces, Eyes, and both of them from Images.

Detect People Walking and Cars Moving from Videos

Detect a Car's Plate from Images

Clock1 hour
Intermediate中級
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 Object Detection from Images and Videos. At the end of the project, you'll have learned how to detect faces, eyes and a combination of them both from images, how to detect people walking and cars moving from videos and finally how to detect a car's plate. 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 and OpenCV. 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. Face Detection

  2. Eyes Detection

  3. Face and Eyes Detection

  4. Pedestrian Detection

  5. Car Detection

  6. Car's Plate 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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