Robotics 1
Cameras and Color
This video introduces the topic of 'machine vision' (or 'computer vision').  You will learn how to install OpenCV for Python, then test the install by reading input from a camera.  You will learn how to split up an image into its red, green, and blue components and display each in its own image.
To complete this lab activity, make a video that includes the following in one video:

(1) You saying your name
(2) Your Python (OpenCV) output showing red, green, and blue objects showing up bright in their respective images

Today, the graduate and undergraduate deliverables are the same.
RGB is one example of a 'color space' - a coordinate system for representing colors.  In this video, we look at two other color spaces, HSV and YUV.  We learn that RGB, HSV, and YUV are color spaces that are roughly analogous to Cartesian, cylindrical, and spherical coordinate systems, respectively.
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Link to YouTube Activity Completion Video:
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If you don't think you can get this challenge and quiz done by the due date, type in your User ID and click 'Request Extension'.  You are allowed 5 extensions in the semester.  If you are approved for the extension, this the due date for this challenge and quiz will be extended for you for 3 days.