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Visualizing Images Using OpenCV in python

import cv2 # Load an image from disk image_path = 'path_to_your_image.jpg' image = cv2.imread(image_path) # Check if image loading was successful if image is not None: # Display the loaded image cv2.imshow('Loaded Image', image) cv2.waitKey(0) # Wait for any key press to close the window cv2.destroyAllWindows() # Close all OpenCV windows else: print(f"Failed to load image from {image_path}")

In this example:

• Replace 'path_to_your_image.jpg' with the actual path to an image file on your system.
• cv2.imread() is used to load the image into a NumPy array.
• cv2.imshow() displays the image in a window titled 'Loaded Image'.
• cv2.waitKey(0) waits indefinitely for a key press (0 indicates indefinite wait), and cv2.destroyAllWindows() closes all OpenCV windows when any key is pressed.

This example showcases a fundamental operation in image processing using OpenCV, which is often a key topic in OpenCV assignments.

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