Python binding for G'MIC - A Full-Featured Open-Source Framework for Image Processing

https://gmic.eu

gmic-py

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.

Quickstart

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") # On Linux a window shall open-up with 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.
Documentation
Full documentation is being written at https://gmic-py.readthedocs.io/.
Supported platforms
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.
Examples
All examples belong in the examples/ folder.
Some of them correspond to tutorials on gmic-py's readthedocs website.
Applying a simple filter
import gmic
gmic.run("sample apples rodilius 10 display") # more at https://gmic.eu/reference/rodilius.html
Example from tutorial 1
Numpy integration
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()
Creating a flipbook from a GIF file
Filtering GIF images, ontage'd into an A4 sheet paper.
Example from tutorial 3
Jupyter / Google Colab / IPython integration
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.
Using your camera with G'MIC's optional OpenCV linking (advanced)
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.
Example G'MIC OpenCV script
      
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