PIL-compatible interface for platform libraries such as GraphicsMagick, Aware or JAI.
Python C
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
NativeImaging
doc
tests
.travis.yml
MANIFEST.in
README.rst
requirements-devel.pip
setup.py
setup_aware_cext.py

README.rst

Native Imaging

This is an experiment in seeing how far you can get using platform-provided packages such as GraphicsMagick, CoreImage, etc. to provide a PIL-like interface but taking advantage of their support for more advanced features such as threading, broader format support (including JPEG-2000), vectorization, etc.

The goal is simple: a user should be able to install NativeImaging and do something like this to a program which is currently using PIL:

from NativeImaging import get_image_class

Image = get_image_class("GraphicsMagick")

Status

Build Status

aware and aware_cext

Very fast JPEG 2000 thumbnail generation compared to GraphicsMagick. Requires the non-OSS AWARE library: http://www.aware.com/imaging/jpeg2000.htm

GraphicsMagick

Currently supports typical web application usage: loading an image, resizing it and saving the result. Testing reveals mixed results, beating PIL when producing thumbnails from large TIFFs and underperforming when thumbnailing equivalent JPEGs, both by about 2:1.

Both CPython and PyPy are supported, with PyPy seeing performance gains using the CFFI backend instead of ctypes. Significant optimization gains are likely possible, particularly where the I/O functions marshall data in and out of the non-filename-based APIs where data is currently being copied.

Jython

Currently supports basic usage: loading an image, resizing it, and saving the result. Performance is generally quite decent as the Java Advanced Imaging API is quite tuned, if somewhat baroque in design.