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Metadata-Version: 2.1
Name: pilkit
Version: 3.0
Summary: A collection of utilities and processors for the Python Imaging Library.
Home-page: http://github.com/matthewwithanm/pilkit/
Author: Matthew Tretter
Author-email: m@tthewwithanm.com
License: BSD
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Utilities
License-File: LICENSE
License-File: AUTHORS
Requires-Dist: Pillow>=7.0
PILKit is a collection of utilities for working with PIL (the Python Imaging
Library).
One of its main features is a set of **processors** which expose a simple
interface for performing manipulations on PIL images.
Looking for more advanced processors? Check out `Instakit`_!
**For the complete documentation on the latest stable version of PILKit, see**
`PILKit on RTD`_.
.. image:: https://github.com/matthewwithanm/pilkit/workflows/Python%20CI/badge.svg
:target: https://github.com/matthewwithanm/pilkit/actions?query=workflow%3A%22Python+CI%22
.. _`PILKit on RTD`: http://pilkit.readthedocs.org
.. _`Instakit`: https://github.com/fish2000/instakit
Installation
============
1. Install `PIL`_ or `Pillow`_.
2. Run ``pip install pilkit`` (or clone the source and put the pilkit module on
your path)
.. note:: If you've never seen Pillow before, it considers itself a
more-frequently updated "friendly" fork of PIL that's compatible with
setuptools. As such, it shares the same namespace as PIL does and is a
drop-in replacement.
.. _`PIL`: http://pypi.python.org/pypi/PIL
.. _`Pillow`: http://pypi.python.org/pypi/Pillow
Usage Overview
==============
Processors
----------
The "pilkit.processors" module contains several classes for processing PIL
images, which provide an easy to understand API:
.. code-block:: python
from pilkit.processors import ResizeToFit
img = Image.open('/path/to/my/image.png')
processor = ResizeToFit(100, 100)
new_img = processor.process(img)
A few of the included processors are:
* ``ResizeToFit``
* ``ResizeToFill``
* ``SmartResize``
* ``Adjust``
* ``TrimBorderColor``
* ``Transpose``
There's also a ``ProcessorPipeline`` class for executing processors
sequentially:
.. code-block:: python
from pilkit.processors import ProcessorPipeline, ResizeToFit, Adjust
img = Image.open('/path/to/my/image.png')
processor = ProcessorPipeline([Adjust(color=0), ResizeToFit(100, 100)])
new_image = processor.process(img)
Utilities
---------
In addition to the processors, PILKit contains a few utilities to ease the pain
of working with PIL. Some examples:
``prepare_image``
Prepares the image for saving to the provided format by doing some
common-sense conversions, including preserving transparency and quantizing.
``save_image``
Wraps PIL's ``Image.save()`` method in order to gracefully handle PIL's
"Suspension not allowed here" errors, and (optionally) prepares the image
using ``prepare_image``
Utilities are also included for converting between formats, extensions, and
mimetypes.
Community
=========
Please use `the GitHub issue tracker <https://github.com/matthewwithanm/pilkit/issues>`_
to report bugs. `A mailing list <https://groups.google.com/forum/#!forum/django-imagekit>`_
also exists to discuss the project and ask questions, as well as the official
`#imagekit <irc://irc.freenode.net/imagekit>`_ channel on Freenode. (Both of
these are shared with the `django-imagekit`_ project—from which PILKit spun
off.)
.. _`django-imagekit`: https://github.com/jdriscoll/django-imagekit
|
