pyzbar-x 0.2.1

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

Read one-dimensional barcodes and QR codes from Python 3 using the zbar library.

• Pure python

• Works with PIL / Pillow images, OpenCV / numpy ndarrays, and raw bytes

• Decodes locations of barcodes

• No dependencies, other than the zbar library itself

• Tested on Python Python 3.5 to 3.9

The older zbar package is stuck in Python 2.x-land. The zbarlight package does not provide support for Windows and depends upon Pillow.

Installation

The zbar DLLs 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:

pip install pyzbar-x

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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=77,
    )
    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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=77,
    )
]

It also accepts instances of numpy.ndarray, which might come from loading images using OpenCV.

>>> 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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=77,
    )
    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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=77,
    )
]

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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=77,
    )
    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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=77,
    )
]

>>> # 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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=77,
    )
    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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=77,
    )
]

>>> # If you don't provide 8 bpp
>>> decode((image.tobytes(), width, height))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  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)
        ],
        orientation=<ZBarOrientation.UP: 0>,
        quality=1,
    )
]


>>> # 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).

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. 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).