Recognizing Shapes in Images with OpenCV

提供方
Coursera Project Network
在此指導項目中,您將:

Recognize shapes in an image using Hough Transforms and OpenCV.

Clock1.5 hours
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 1.5 hour long project-based course, you will apply computer vision techniques to process images, extract useful features and detect shapes using Hough transforms. By the end of this project, you will have analyzed real-world images using industry standard tools, including Python and OpenCV. Note: 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

  • Opencv
  • Python Programming
  • Hough Transforms

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. Load an image from file

  2. Compute image gradients

  3. Detect edges in an image using Canny edge detection

  4. Recognize lines in an image using Hough transforms

  5. Recognize circles in an image using Hough transforms

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

常見問題

常見問題

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