Skip to main content

Python Versions PyPI version Travis status Coverage Status

A ctypes-based Python wrapper around the libdmtx datamatrix barcode reader.

The pydmtx wrapper is stuck in Python 2.x-land. This ctypes-based wrapper brings libdmtx to Python 2.7 and to Python 3.4 or greater.

Installation

The libdmtx DLLs are included with the Windows Python wheels. On other operating systems, you will need to install the libdmtx shared library.

On Mac OS X:

brew install libdmtx

On Linux:

sudo apt-get install libdmtx0a

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

pip install pylibdmtx
pip install pylibdmtx[scripts]

Example usage

The decode function accepts instances of PIL.Image.

>>> from pylibdmtx.pylibdmtx import decode
>>> from PIL import Image
>>> decode(Image.open('pylibdmtx/tests/datamatrix.png'))
[Decoded(data='Stegosaurus', rect=Rect(left=5, top=6, width=96, height=95)),
 Decoded(data='Plesiosaurus', rect=Rect(left=298, top=6, width=95, height=95))]

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

>>> import cv2
>>> decode(cv2.imread('pylibdmtx/tests/datamatrix.png'))
[Decoded(data='Stegosaurus', rect=Rect(left=5, top=6, width=96, height=95)),
 Decoded(data='Plesiosaurus', rect=Rect(left=298, top=6, width=95, height=95))]

You can also provide a tuple (pixels, width, height)

>>> image = cv2.imread('pylibdmtx/tests/datamatrix.png')
>>> height, width = image.shape[:2]
>>> decode((image.tobytes(), width, height))
[Decoded(data='Stegosaurus', rect=Rect(left=5, top=6, width=96, height=95)),
 Decoded(data='Plesiosaurus', rect=Rect(left=298, top=6, width=95, height=95))]

Limitations

Feel free to submit a PR to address any of these.

  • decoding only - no encoding

  • I took the bone-headed approach of copying the logic in pydmtx’s decode function (in `pydmtxmodule.c <https://sourceforge.net/p/libdmtx/dmtx-wrappers/ci/master/tree/python/>`__); there might be more of libdmtx’s functionality that could be used to read barcodes

  • I exposed the bare minimum of functions, defines, enums and typedefs neede to reimplement pydmtx’s decode function

License

pylibdmtx is distributed under the MIT license (see LICENCE.txt). The libdmtx shared library is distributed under the Simplified BSD license (see libdmtx-LICENCE.txt).

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pylibdmtx-0.1.3-py2.py3-none-win_amd64.whl (60.0 kB view details)

Uploaded Python 2Python 3Windows x86-64

pylibdmtx-0.1.3-py2.py3-none-win32.whl (52.4 kB view details)

Uploaded Python 2Python 3Windows x86

pylibdmtx-0.1.3-py2.py3-none-any.whl (17.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pylibdmtx-0.1.3-py2.py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for pylibdmtx-0.1.3-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 7f5f25794f77e40b2560a32dc324787a1a6830f96d8003548460ba02c9a3e314
MD5 514e858326edb3beb59600006a146912
BLAKE2b-256 996be613a8d0e3e297043b15b725a79a270bd53377cc325a0d6cb93340d3af06

See more details on using hashes here.

File details

Details for the file pylibdmtx-0.1.3-py2.py3-none-win32.whl.

File metadata

File hashes

Hashes for pylibdmtx-0.1.3-py2.py3-none-win32.whl
Algorithm Hash digest
SHA256 d0dfa3670720b3445f2c854975a8ddc15018c3fa70d961bf7b374b89cc0beabe
MD5 2a5709f3a1d41286f38c44cf32a4286e
BLAKE2b-256 c04f38f956b6d9c5f82aefe153b203cd05a1212137589d10dda009540ade8302

See more details on using hashes here.

File details

Details for the file pylibdmtx-0.1.3-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pylibdmtx-0.1.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 164f8215944d7f30bf76e1d9338ba10b839352ccece7e5b5537e9aae7a1aadf8
MD5 1cb58b071e3ce000e8eb7daa37fd8dd6
BLAKE2b-256 81826e6b4e6dd6a9d123f9e4d36654454d7678a322f05090decce64b9e270b65

See more details on using hashes here.

Release history Release notifications | RSS feed

0.1.10

3 files

0.1.9

3 files

0.1.8

3 files

0.1.7

3 files

0.1.6

3 files

0.1.5

3 files

0.1.4

3 files

This release

0.1.3 This release

3 files

0.1.2

3 files

0.1.1

3 files

0.1.0

3 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page