Image Processing with OpenCV and Python

Dive into image processing with Python in this 21-minute tutorial by Kaggle grandmaster Rob Mulla. Learn to work with image data using matplotlib and OpenCV packages, covering essential topics such as opening image files, understanding data formats, manipulating images, and saving in different formats. Explore the power of image data in data science and computer vision as you progress through importing libraries, reading images, understanding array structures, displaying images, and comparing RGB representations. Discover the differences between OpenCV and Matplotlib's image reading functions, and practice image manipulation techniques including resizing, scaling, sharpening, and blurring. By the end of this comprehensive guide, gain valuable skills in Python image processing, an important tool for aspiring data scientists and computer vision enthusiasts.

Intro
Imports
Reading in Images
Image Array
Displaying Images
RGB Representation
OpenCV vs Matplotlib imread
Image Manipulation
Resizing and Scaling
Sharpening and Blurring
Saving the Image
Outro