7. Extracting Image Dimensions in Python: OpenCV Approach
   Concepts involved:Python: The general-purpose programming language used for this code.OpenCV (cv2): A powerful library for computer vision tasks
8. Unlocking Image Data: A Guide to Converting RGB Images to NumPy Arrays with Python
   Import libraries:cv2: This imports the OpenCV library, which provides functions for image processing tasks.numpy: This imports the NumPy library
9. Displaying NumPy Arrays as Images with PIL and OpenCV
   I'd be glad to explain how to convert a NumPy array to an image and display it in Python:Understanding NumPy Arrays and Images
10. Saving NumPy Arrays as Images: A Guide for Python Programmers
    NumPy Array:NumPy provides the foundation for numerical operations. It represents images as two-dimensional arrays where each element corresponds to a pixel's intensity or color value
11. Bridging the Gap: A Guide to Converting PIL Images to NumPy Arrays in Python
    Importing Libraries:Pillow (PIL Fork): You'll need the Pillow library, a friendly fork of PIL (Python Imaging Library), to work with images in Python
12. What is the Difference Between a Question and an Answer? - Explained Clearly
    Here's a breakdown of why NumPy's resize alone isn't suitable for image resizing and what libraries you can use for this task:
13. The Art of Image Resizing: PIL's Guide to Maintaining Aspect Ratio in Python
    Problem:In Python, how can we resize an image using the Pillow (PIL Fork) library while preserving its original aspect ratio? This ensures that the image's proportions remain the same