Project: willow

A Python image library that sits on top of Pillow, Wand and OpenCV

Project Details

Latest version
1.7.0
Home Page
None
PyPI Page
https://pypi.org/project/willow/

Project Popularity

PageRank
0.0031997097276066466
Number of downloads
135798

Willow image library

PyPI PyPI downloads Build Status

A wrapper that combines the functionality of multiple Python image libraries into one API.

Documentation

Overview

Willow is a simple image library that combines the APIs of Pillow, Wand and OpenCV. It converts the image between the libraries when necessary.

Willow currently has basic resize and crop operations, face and feature detection and animated GIF support. New operations and library integrations can also be easily implemented.

The library is written in pure Python and supports versions 3.8 3.9, 3.10, 3.11 and 3.12.

Examples

Resizing an image

from willow.image import Image

f = open('test.png', 'rb')
img = Image.open(f)

# Resize the image to 100x100 pixels
img = img.resize((100, 100))

# Save it
with open('test_thumbnail.png', 'wb') as out:
   img.save_as_png(out)

This will open the image file with Pillow or Wand (if Pillow is unavailable).

It will then resize it to 100x100 pixels and save it back out as a PNG file.

Detecting faces

from willow.image import Image

f = open('photo.png', 'rb')
img = Image.open(f)

# Find faces
faces = img.detect_faces()

Like above, the image file will be loaded with either Pillow or Wand.

As neither Pillow nor Wand support detecting faces, Willow would automatically convert the image to OpenCV and use that to perform the detection.

Available operations

Documentation

Operation Pillow Wand OpenCV
get_size()
get_frame_count() ✓** ✓**
resize(size)
crop(rect)
rotate(angle)
set_background_color_rgb(color)
auto_orient()
save_as_jpeg(file, quality)
save_as_png(file)
save_as_gif(file)
save_as_webp(file, quality)
save_as_heif(file, quality, lossless) ✓⁺
save_as_avif(file, quality, lossless) ✓⁺ ✓⁺
has_alpha() ✓*
has_animation() ✓* ✓*
get_pillow_image()
get_wand_image()
detect_features()
detect_faces(cascade_filename)

* Always returns False

** Always returns 1

⁺ Requires the pillow-heif library