gmic-py
is the official Python 3 binding for the G'MIC C++ image processing library purely written with Python's C API.
Its Python package name on pypi.org is just gmic
.
This project lives under the CeCILL license (similar to GNU Public License).
You can use the gmic
Python module for projects related to desktop or server-side graphics software, numpy, video-games, image procesing.
Check out the gmic-py
documentation website (readthedocs) for Quickstart, Tutorials, API Reference and gmic-py
third-party integrations.
gmic-py
's slowly growing community gravitates around:
gmic-blender is a Blender3d add-on bundling gmic-py
and allowing you use a new gmic
module from there without installing anything more.
First install the G'MIC Python module in your (virtual) environment.
pip install gmic
G'MIC is a language processing framework, interpreter and image-processing scripting language.
Here is how to load gmic
, and evaluate some G'MIC commands with an interpreter.
import gmic
gmic.run("sp earth blur 4 display") # On Linux a window shall open-up and display a blurred earth
gmic.run("sp rose fx_bokeh 3,8,0,30,8,4,0.3,0.2,210,210,80,160,0.7,30,20,20,1,2,170,130,20,110,0.15,0 output rose_with_bokeh.png") # Save a rose with bokeh effect to file
A full-featured gmic-py
Quickstart tutorial is available here.
Tutorials on various topics are available in the documentation.
Full documentation is being written at https://gmic-py.readthedocs.io/.
gmic-py
works for Linux and Mac OS x 64bits architecture x Python >= 3.6. Windows support is planned for Q4 2020.
In case your environment is a type of Unix, but compiling from source is needed, note that the pip
installer will download gmic-py
's source and most possibly compile it very well.
See the CONTRIBUTING.md
file and the documentation for tips on building gmic-py
for your own OS.
All examples belong in the examples/ folder.
Some of them correspond to tutorials on gmic-py
's readthedocs website.
import gmic
gmic.run("sample apples rodilius 10 display") # more at https://gmic.eu/reference/rodilius.html
gmic-py
supports GmicImage
input/output with numpy
, scikit-image
and Pillow
(PIL
) if any of those are installed.
Example from the Quickstart tutorial
import numpy
from matplotlib import pyplot as plt
import gmic
images = []
gmic.run("sp apples blur_x 30 fx_freaky_bw 90,20,0,0,0,0", images) # horizontal blur+special black&white
numpy_im = images[0].to_numpy_helper(interleave=True,permute="yxzc", squeeze_shape=True, astype=numpy.uint8)
plt.imshow(numpy_im, plt.get_cmap('gray'))
plt.show()
Filtering GIF images, ontage'd into an A4 sheet paper.
gmic-py
provides G'MIC console output retrieval and images display
emulation for IPython/Jupyter/Google Colab environments:
Details on the related Jupyter/IPython/* support documentation page.
If your machine has libopencv
installed and you build gmic-py
from source (ie. python setup.py build
), G'MIC OpenCV commands will be enabled.