PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. The ImageOps module contains a number of ‘ready-made’ image processing operations. This module is somewhat experimental, and most operators only work on L and RGB images. ImageOps.fit() method returns a sized and cropped version of the image, cropped to the requested aspect ratio and size.
Syntax: PIL.ImageOps.fit(image, size, method=0, bleed=0.0, centering=(0.5, 0.5))
Parameters: image – The image to size and crop.
size – The requested output size in pixels, given as a (width, height) tuple.
method – What resampling method to use. Default is PIL.Image.NEAREST.
bleed – Remove a border around the outside of the image from all four edges.
centering – Control the cropping position.
- Use (0.5, 0.5) for center cropping (e.g. if cropping the width, take 50% off of the left side, and therefore 50% off the right side).
- (0.0, 0.0) will crop from the top left corner (i.e. if cropping the width, take all of the crop off of the right side, and if cropping the height, take all of it off the bottom).
- (1.0, 0.0) will crop from the bottom left corner, etc. (i.e. if cropping the width, take all of the crop off the left side, and if cropping the height take none from the top, and therefore all of the bottom).
Returns: An image.
Image used:
Python3
# Importing Image and ImageOps module from PIL packagefrom PIL import Image, ImageOps# creating a image1 objectim1 = Image.open(r"C:\Users\System-Pc\Desktop\circleimage.PNG")# applying fit method# Setting width = 100 and height = 100im2 = ImageOps.fit(im1, (100, 100), method = 0, bleed = 0.0, centering =(0.5, 0.5))im2.show() |
Output:
