Analyzing Video with OpenCV and NumPy

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In this Guided Project, you will:

By the end of this course, you will be able to open video files, access the contents frame-by-frame and modify them at the pixel level.

Clock1 hour
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this one hour long project-based course, you will learn the basics of reading, analyzing and writing video using Python, NumPy and OpenCV. We will be working with a short documentary film which is in the public domain, so we are free to download and manipulate it. We will read in the video data frame-by-frame, examine the contents and modify them from Python. By the end of this project, you will have analyzed a video at the pixel level, modified its contents and created a new video file 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
  • Numpy

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:

  1. Read a video file frame-by-frame

  2. Analyze video frame pixels using NumPy

  3. Modify video frames using NumPy

  4. Modify video frames using OpenCV

  5. Generate a new video file

  6. Create a collage of images from a movie

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

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Frequently Asked Questions

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