python-resize-image 1.1.18

A Small python package to easily resize images

A python package to easily resize images

This package provides function for easily resizing images.

Dependencies

• Pillow 2.7++
• Python 2.7/3.4

Introduction

The following functions are supported:

• resize_crop crop the image with a centered rectangle of the specified size.
• resize_cover resize the image to fill the specified area, crop as needed (same behavior as background-size: cover).
• resize_contain resize the image so that it can fit in the specified area, keeping the ratio and without crop (same behavior as background-size: contain).
• resize_height resize the image to the specified height adjusting width to keep the ratio the same.
• resize_width resize the image to the specified width adjusting height to keep the ratio the same.
• resize_thumbnail resize image while keeping the ratio trying its best to match the specified size.

Installation

Install python-resize-image using pip:

pip install python-resize-image

Usage

python-resize-image takes as first argument a PIL.Image and then size argument which can be a single integer or tuple of two integers.

In the following example, we open an image, crop it and save as new file:

from PIL import Image

from resizeimage import resizeimage


with open('test-image.jpeg', 'r+b') as f:
    with Image.open(f) as image:
        cover = resizeimage.resize_cover(image, [200, 100])
        cover.save('test-image-cover.jpeg', image.format)

Before resizing, python-image-resize will check whether the operation can be done. A resize is considered valid if it doesn’t require to increase one of the dimension. To avoid the test add validate=False as argument:

cover = resizeimage.resize_cover(image, [200, 100], validate=False)

You can also create a two step process validation then processing using validate function attached to resized function which allows to test the viability of the resize without doing it just after validation. validate is available using the dot . operator on every resize function e.g. resize_cover.validate.

The first exemple is rewritten in the following snippet to use this feature:

from PIL import Image

from resizeimage import resizeimage

with open('test-image.jpeg', 'r+b')
    with Image.open() as image:
        is_valid = resizeimage.resize_cover.validate(image, [200, 100])

# do something else...

if is_valid:
    with Image.open('test-image.jpeg') as image:
        resizeimage.resize_cover.validate(image, [200, 100], validate=False)
        cover = resizeimage.resize_cover(image, [200, 100])
        cover.save('test-image-cover.jpeg', image.format)

Mind the fact that it’s useless to validate the image twice, so we pass validate=False to resize_cover.validate.

API Reference

resize_crop(image, size, validate=True)

Crop the image with a centered rectangle of the specified size.

Crop an image with a 200x200 cented square:

from PIL import Image
from resizeimage import resizeimage

fd_img = open('test-image.jpeg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize_crop(img, [200, 200])
img.save('test-image-crop.jpeg', img.format)
fd_img.close()

resize_cover(image, size, validate=True, resample=Image.LANCZOS)

Resize the image to fill the specified area, crop as needed. It’s the same behavior as css background-size: cover property.

Resize and crop (from center) the image so that it covers a 200x100 rectangle.

from PIL import Image
from resizeimage import resizeimage

fd_img = open('test-image.jpeg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize_cover(img, [200, 100])
img.save('test-image-cover.jpeg', img.format)
fd_img.close()

resize_contain(image, size, validate=True, resample=Image.LANCZOS, bg_color=(255, 255, 255, 0))

Resize the image so that it can fit in the specified area, keeping the ratio and without crop. It’s the same behavior as css background-size: contain property. A white a background border is created.

Resize the image to minimum so that it is contained in a 200x100 rectangle is the ratio between source and destination image.

from PIL import Image
from resizeimage import resizeimage

fd_img = open('test-image.jpeg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize_contain(img, [200, 100])
img.save('test-image-contain.jpeg', img.format)
fd_img.close()

resize_width(image, width, validate=True, resample=Image.LANCZOS)

Resize the image to the specified height adjusting width to keep the ratio the same.

Resize the image to be 200px width:

from PIL import Image
from resizeimage import resizeimage

fd_img = open('test-image.jpeg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize_width(img, 200)
img.save('test-image-width.jpeg', img.format)
fd_img.close()

resize_height(image, height, validate=True, resample=Image.LANCZOS)

Resize the image to the specified width adjusting height to keep the ratio the same.

Resize the image to be 200px height:

from PIL import Image
from resizeimage import resizeimage

fd_img = open('test-image.jpeg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize_height(img, 200)
img.save('test-image-height.jpeg', img.format)
fd_img.close()

resize_thumbnail(image, size, validate=True, resample=Image.LANCZOS)

Resize image while keeping the ratio trying its best to match the specified size.

Resize the image to be contained in a 200px square:

from PIL import Image
from resizeimage import resizeimage

fd_img = open('test-image.jpeg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize_thumbnail(img, [200, 200])
img.save('test-image-thumbnail.jpeg', img.format)
fd_img.close()

resize(method, *args, **kwargs)

Resize Image with the specified method : ‘crop’, ‘cover’, ‘contain’, ‘width’, ‘height’ or ‘thumbnail’.

from PIL import Image
from resizeimage import resizeimage

fd_img = open('test-image.jpeg', 'r')
img = Image.open(fd_img)
img = resizeimage.resize('thumbnail', img, [200, 200])
img.save('test-image-thumbnail.jpeg', img.format)
fd_img.close()

Tests

pip install -r requirements.dev.txt
pip install -e .
python setup.py test

Contribute

python-resize-image is hosted at github.com/VingtCinq/python-resize-image/.

Before coding install pre-commit as git hook using the following command:

cp pre-commit .git/hooks/

And install the hook and pylint:

pip install git-pylint-commit-hook pylint

If you want to force a commit (you need a good reason to do that) use commit with the -n option e.g. git commit -n.

Support

If you are having issues, please let us know.

License

The project is licensed under the MIT License.