pyzbar

Read one-dimensional barcodes and QR codes from Python 2 and 3.

Showing:

Popularity

Downloads/wk

0

GitHub Stars

402

Maintenance

Last Commit

3yrs ago

Contributors

2

Package

Dependencies

3

License

MIT

Categories

Readme

pyzbar

.. image:: https://img.shields.io/badge/python-2.7%2C%203.4%2C%203.5%2C%203.6%2C%203.7-blue.svg :target: https://github.com/NaturalHistoryMuseum/pyzbar

.. image:: https://badge.fury.io/py/pyzbar.svg :target: https://pypi.python.org/pypi/pyzbar

.. image:: https://travis-ci.org/NaturalHistoryMuseum/pyzbar.svg?branch=master :target: https://travis-ci.org/NaturalHistoryMuseum/pyzbar

.. image:: https://coveralls.io/repos/github/NaturalHistoryMuseum/pyzbar/badge.svg?branch=master :target: https://coveralls.io/github/NaturalHistoryMuseum/pyzbar?branch=master

Read one-dimensional barcodes and QR codes from Python 2 and 3 using the zbar <http://zbar.sourceforge.net/>__ library.

  • Pure python
  • Works with PIL / Pillow images, OpenCV / numpy ndarray\ s, and raw bytes
  • Decodes locations of barcodes
  • No dependencies, other than the zbar library itself
  • Tested on Python 2.7, and Python 3.4 to 3.7

The older zbar <https://sourceforge.net/p/zbar/code/ci/default/tree/python/> package is stuck in Python 2.x-land. The zbarlight <https://github.com/Polyconseil/zbarlight/> package does not provide support for Windows and depends upon Pillow.

Installation

The zbar DLL\ s are included with the Windows Python wheels. On other operating systems, you will need to install the zbar shared library.

Mac OS X:

::

brew install zbar

Linux:

::

sudo apt-get install libzbar0

Install this Python wrapper; use the second form to install dependencies of the command-line scripts:

::

pip install pyzbar pip install pyzbar[scripts]

Example usage

The decode function accepts instances of PIL.Image.

::

from pyzbar.pyzbar import decode from PIL import Image decode(Image.open('pyzbar/tests/code128.png')) [ Decoded( data=b'Foramenifera', type='CODE128', rect=Rect(left=37, top=550, width=324, height=76), polygon=[ Point(x=37, y=551), Point(x=37, y=625), Point(x=361, y=626), Point(x=361, y=550) ] ) Decoded( data=b'Rana temporaria', type='CODE128', rect=Rect(left=4, top=0, width=390, height=76), polygon=[ Point(x=4, y=1), Point(x=4, y=75), Point(x=394, y=76), Point(x=394, y=0) ] ) ]

It also accepts instances of numpy.ndarray, which might come from loading images using OpenCV <http://opencv.org/>__.

::

import cv2 decode(cv2.imread('pyzbar/tests/code128.png')) [ Decoded( data=b'Foramenifera', type='CODE128', rect=Rect(left=37, top=550, width=324, height=76), polygon=[ Point(x=37, y=551), Point(x=37, y=625), Point(x=361, y=626), Point(x=361, y=550) ] ) Decoded( data=b'Rana temporaria', type='CODE128', rect=Rect(left=4, top=0, width=390, height=76), polygon=[ Point(x=4, y=1), Point(x=4, y=75), Point(x=394, y=76), Point(x=394, y=0) ] ) ]

You can also provide a tuple (pixels, width, height), where the image data is eight bits-per-pixel.

::

image = cv2.imread('pyzbar/tests/code128.png') height, width = image.shape[:2]

8 bpp by considering just the blue channel

decode((image[:, :, 0].astype('uint8').tobytes(), width, height)) [ Decoded( data=b'Foramenifera', type='CODE128', rect=Rect(left=37, top=550, width=324, height=76), polygon=[ Point(x=37, y=551), Point(x=37, y=625), Point(x=361, y=626), Point(x=361, y=550) ] ) Decoded( data=b'Rana temporaria', type='CODE128', rect=Rect(left=4, top=0, width=390, height=76), polygon=[ Point(x=4, y=1), Point(x=4, y=75), Point(x=394, y=76), Point(x=394, y=0) ] ) ]

8 bpp by converting image to greyscale

grey = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) decode((grey.tobytes(), width, height)) [ Decoded( data=b'Foramenifera', type='CODE128', rect=Rect(left=37, top=550, width=324, height=76), polygon=[ Point(x=37, y=551), Point(x=37, y=625), Point(x=361, y=626), Point(x=361, y=550) ] ) Decoded( data=b'Rana temporaria', type='CODE128', rect=Rect(left=4, top=0, width=390, height=76), polygon=[ Point(x=4, y=1), Point(x=4, y=75), Point(x=394, y=76), Point(x=394, y=0) ] ) ]

If you don't provide 8 bpp

decode((image.tobytes(), width, height)) Traceback (most recent call last): File "", line 1, in File "/Users/lawh/projects/pyzbar/pyzbar/pyzbar.py", line 102, in decode raise PyZbarError('Unsupported bits-per-pixel [{0}]'.format(bpp)) pyzbar.pyzbar_error.PyZbarError: Unsupported bits-per-pixel [24]

The default behaviour is to decode all symbol types. You can look for just your symbol types

::

from pyzbar.pyzbar import ZBarSymbol

Look for just qrcode

decode(Image.open('pyzbar/tests/qrcode.png'), symbols=[ZBarSymbol.QRCODE]) [ Decoded( data=b'Thalassiodracon', type='QRCODE', rect=Rect(left=27, top=27, width=145, height=145), polygon=[ Point(x=27, y=27), Point(x=27, y=172), Point(x=172, y=172), Point(x=172, y=27) ] ) ]

If we look for just code128, the qrcodes in the image will not be detected

decode(Image.open('pyzbar/tests/qrcode.png'), symbols=[ZBarSymbol.CODE128]) []

Bounding boxes and polygons

The blue and pink boxes show rect and polygon, respectively, for barcodes in pyzbar/tests/qrcode.png (see bounding_box_and_polygon.py <https://github.com/NaturalHistoryMuseum/pyzbar/blob/master/bounding_box_and_polygon.py>__).

.. figure:: https://github.com/NaturalHistoryMuseum/pyzbar/raw/master/bounding_box_and_polygon.png :alt: Two barcodes with bounding boxes and polygons

Windows error message

If you see an ugly ImportError when importing pyzbar on Windows you will most likely need the Visual C++ Redistributable Packages for Visual Studio 2013 <https://www.microsoft.com/en-US/download/details.aspx?id=40784>__. Install vcredist_x64.exe if using 64-bit Python, vcredist_x86.exe if using 32-bit Python.

Contributors

  • Alex (@globophobe) - first implementation of barcode locations

License

pyzbar is distributed under the MIT license (see LICENCE.txt). The zbar shared library is distributed under the GNU Lesser General Public License, version 2.1 (see zbar-LICENCE.txt).

Rate & Review

Great Documentation0
Easy to Use0
Performant0
Highly Customizable0
Bleeding Edge0
Responsive Maintainers0
Poor Documentation0
Hard to Use0
Slow0
Buggy0
Abandoned0
Unwelcoming Community0
100