Recognizing Shapes in Images with OpenCV
Offered By
In this Guided Project, you will:
Recognize shapes in an image using Hough Transforms and OpenCV.
1.5 hours
Intermediate
No download needed
Split-screen video
English
Desktop only
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.
Skills you will develop
Opencv
Python Programming
Hough Transforms
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Load an image from file
Compute image gradients
Detect edges in an image using Canny edge detection
Recognize lines in an image using Hough transforms
Recognize circles in an image using Hough transforms
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Frequently Asked Questions
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