In this lesson, we'll focus on the Pillow Python library, also known as PIL.
I'll show you a few basic functions and useful tricks to manipulate each and every pixel on a given image.
By the end of this video, you'll know how mathematical operations affect images and you'll be comfortable with exploring Pillow further on your own!
#imageprocessing #python #pillow #PIL #computervision

Project files & code:
[ Ссылка ]

Timestamps:
00:00 - Intro
01:15 - Import PIL functions
01:35 - Load an image and display it
2:17 - Image attributes: size and mode
3:16 - Plotting 2 images inline (Matplotlib)
3:36 - Multiply / Merge Images ImageChops.multiply()
4:36 - Adding Images / Finding the common area with ImageChops.add()
5:13 - Change color mode to Greyscale and Binary
6:34 - Mapping pixels / Creating image coordinates
6:59 - Accessing individual pixel values
7:44 - Converting an RGB image into Binary with a nested "for" loop
9:06 - Converting a Greyscale image into Binary with a nested "for" loop
10:19 - Selecting image regions with row and column conditions
11:30 - Invert image with ImageChops.invert()
12:30 - Rotate image with PIL.rotate()
13:18 - Gaussian Blue and Edge Detection with ImageFilter
15:10 - Outro, thanks for watching! :)

Pillow documentation:
[ Ссылка ]

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