Efficient cffi-based bindings for the zbar QR decoder (Py2, Py3, and PyPy)
Project description
Python cffi-based bindings for zbar (http://zbar.sourceforge.net/) designed to be as efficient as possible.
Python 2, Python 3, and PyPy compatible!
Note: currently a work in progress. Entirely functional and production-ready, but missing some configuration options.
Examples
>>> import libzbar as zb
# Images can be loaded from PIL images:
>>> from PIL import Image
>>> im = Image.open("test/qr-numeric.png")
>>> zb.Image.from_im(im).scan()
[<Symbol type=ZBAR_QRCODE quality=1 data='12345' locator=[(12, 12), (12, 75), (75, 75), (75, 12)]>]
# And from NumPy arrays. Note: if the array has an 8-bit data type (ex,
# uint8) a pointer to its data will be passed directly into zbar making
# this method very efficient.
>>> import numpy as np
>>> zb.Image.from_np(im.size, np.array(im)).scan()
[<Symbol type=ZBAR_QRCODE quality=1 data='12345' locator=[(12, 12), (12, 75), (75, 75), (75, 12)]>]
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libzbar-cffi-0.1.tar.gz
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