- Given an image stored at
- a target
heightin pixels, and
- a target starting point (upper-left)
yin the coordinate system.
How to crop the given image in Python PIL so that the resulting image has
width * height size?
Here’s an example of how the original image is cropped to a smaller area from (100, 20) upper-left to (540, 210) bottom-right:
To crop an image to a certain area, use the PIL function
Image.crop(left, upper, right, lower) that defines the area to be cropped using two points in the coordinate system:
(left, upper) and
(right, lower) pixel values. Those two points unambiguously define the rectangle to be cropped.
Here’s the example of how to crop an image with
height=190 pixels and upper-left starting points
y=20 pixels as shown in the graphic before.
from PIL import Image # Given information img = Image.open("image.jpg") width, height = 440, 190 x, y = 100, 20 # Select area to crop area = (x, y, x+width, y+height) # Crop, show, and save image cropped_img = img.crop(area) cropped_img.show() cropped_img.save("cropped_image.jpg")
You can play around with this example—including the original and cropped images shown here—in our interactive playground:
Here’s the original image:
And here’s the cropped image:
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