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Video 52: Understanding and Working in the HSV Color Space

Learn how to perform color tracking using Raspberry Pi and OpenCV, exploring the manipulation of frames as datasets and analysis using the HSV color space.

  1. Color Tracking Basics: Introduction to color tracking using Raspberry Pi and OpenCV.

  2. Frame Manipulation: Understanding how to manipulate frames as datasets for analysis.

  3. HSV Color Space: Explaining the Hue, Saturation, and Value color space for intuitive color tracking.

  4. Converting Color Spaces: Demonstrating how to convert frames from BGR to HSV color space.

  5. Defining Tracking Range: How to define a range of HSV values to track a specific color or object.

  6. Object Detection: Using masks and bitwise AND operation to perform object detection based on defined HSV range.

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