Deep Learning CNN Convolutional Neural Networks with Python - Padding Image

The video tutorial covers the process of adding padding to images using Python libraries such as CV2, Numpy, and Matplotlib. It begins with importing the necessary libraries, followed by reading an image and determining its dimensions. The tutorial then demonstrates how to create a padded image with black borders by adjusting the image's size and color channels. Finally, it shows how to display both the original and padded images using Matplotlib, highlighting the differences in dimensions and appearance.

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