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Video 53: Understanding and Using Trackbars in OpenCV

Learn how to implement track bars in OpenCV with Python to dynamically adjust parameters like position, width, and height, and create a region of interest (ROI) within images or video frames.

  1. Track Bar Introduction: Understand the significance of track bars for real-time parameter tweaking in OpenCV.

  2. Setting up Track Bars: Demonstrate the process of creating track bars using the cv2.createTrackbar() function for adjusting X position, Y position, box width, and box height.

  3. Defining Callback Functions: Learn how to define callback functions that update global variables storing parameter values based on user interactions with the track bars.

  4. Accessing Track Bar Values: Access the current values of track bars within callback functions to dynamically update parameter values.

  5. Applying Parameter Values: Utilize the updated parameter values to manipulate images or video frames, such as creating rectangles or regions of interest (ROIs) based on user-defined parameters.

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