High-level image processing wrapper for libvips
Project description
ImageProcessing 🥚
Provides higher-level image processing helpers that are commonly needed when handling image uploads.
This package process images with the libvips library. Libvips is a library that can process images very rapidly (often multiple times faster than ImageMagick).
Installation
- Install libvips:
In a MacOS terminal:
$ brew install vips
In a Debian/Ubuntu terminal:
$ sudo apt install libvips
- Install this library with pip, or add it to your requirements/dependencies:
pip install image-processing-egg
Usage
Processing is performed through the ImageProcessing
class that
uses a chainable API for defining the processing pipeline:
from image_processing import ImageProcessing
processed = (
ImageProcessing(source_path)
.resize_to_limit(400, 400)
.convert("png")
.save()
)
processed #=> /temp/.../20180316-18446-1j247h6.png>
This allows easy branching when generating multiple derivates:
from image_processing import ImageProcessing
pipeline = ImageProcessing(source_path).convert("png")
large = pipeline.resize_to_limit(800, 800).save()
medium = pipeline.resize_to_limit(500, 500).save()
small = pipeline.resize_to_limit(300, 300).save()
The processing is executed with save()
.
processed = ImageProcessing(source_path) \
.convert("png") \
.resize_to_limit(400, 400) \
.save()
You can inspect the pipeline options at any point before executing it:
pipeline = ImageProcessing(source_path) \
.loader(page=1) \
.convert("png") \
.resize_to_limit(400, 400) \
.strip()
pipeline.options
# => {
# 'source': '/path/to/source.jpg',
# 'loader': {'page': 1},
# 'saver': {},
# 'format': 'png',
# 'operations': [
# ['resize_to_limit', [400, 400], {}],
# ['strip', [], {}],
# ]
# }
The source object needs to be a string or a Path
.
Note that the processed file is always saved to a new location,
in-place processing is not supported.
ImageProcessing("source.jpg")
ImageProcessing(Path("source.jpg"))
You can define the source at any time using source()
ImageProcessing().source("source.jpg")
ImageProcessing().source(Path("source.jpg"))
When save()
is called without options, the result of processing is a temp file. You can save the processing result to a specific location by passing a destination
, as a string or a Path, to save()
.
pipeline = ImageProcessing(source_path)
pipeline.save() #=> tempfile
pipeline.save("/path/to/destination")
Credits
This library is a port of the Ruby image_processing gem to Python.
License
Project details
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