Snowy

Snowy

This is a tiny Python 3 module for manipulating and generating images.

• Simple and flat API. See the documentation.
• Supports resize and blur with a variety of filters.
• Honors a specified wrap mode for proper boundary behavior.
• Supports simple OpenEXR images (never clamps colors).
• Written purely in Python 3 and accelerated using numba.
• Efficiently generates gradient noise and distance fields.

Snowy is somewhat similar to pillow and scikit-image, but has a small feature set with some unique abilities. Painting and 2D paths are outside the scope of the library. See pycairo or skia-pathops.

<!-- add new section to the doc "Coordinate fields" : mentions CPCF and Warping add generate_coords function (should take a dtype) add "apply_gradient" to color.py compute_skylight should take wrapx and wrapy Dithering Replace "imageio" with "snowyio" which has minimal C code (tinyexr and stb_image) Try to support URL's in load Look at CairoSVG for inspiration, it takes url, fileobj, etc CPCF's Make a video with iterm2 and ipython (or bpython or ptpython) express the popular "notestrink.py" in terms of snowy operations prefiltering as seen in docs/hoppe arbitrary rotation RShear: "A Fast Algorithm for General Raster Rotation" by Alan Paeth in Graphics Gems http://www.leptonica.com/rotation.html variable radius blur (radius multiplier is a fn not a constant) test with a distance field + gradient tile-based functions (see libvips) reduce_colors io can have create_movie heat wave example brownian loop zoom example io can have generate_gallery for making HTML, and optional forced width/height/filter pixel art scaling algorithm(s) add fractal.py mandelbrot example from numba also this: https://en.wikipedia.org/wiki/Buddhabrot generate voronoi or triangulations, like the little test images here: http://agea.github.io/tutorial.md/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Making a release: 1. Update the version # in generate.py and setup.py, then run generate.py 2. python3 setup.py sdist bdist_wheel 3. twine upload dist/* 4. git push consider using travis for this: https://docs.travis-ci.com/user/deployment/pypi/ Testing a release: open https://pypi.org/project/snowy/ cd ~ ; python3 -m venv snowy_test source snowy_test/bin/activate pip install snowy python3 import snowy; import numpy as np n = snowy.generate_noise(100, 100, frequency=4, seed=42, wrapx=True) snowy.show(n) deactivate see also: https://docs.python-guide.org/dev/virtualenvs/ -->