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Video 52: Understanding and Working in the HSV Color Space
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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.


**Video**

.. raw:: html

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