zbar lite package only support scan image and recognize barcode
Project description
This package is a part of ZBAR, only supports image related functions. For now , it is only designed for Python.
#How to build and install It is recommended for you to run cmd below first to get the right config.h.
There are two template config.h in the ./config_template
.
if you did not generate a config.h, we will copy one of them to ./src
according to your OS when setup.
cd zbar
autoreconf -vfi
./configure --without-java --without-gtk --without-qt --without-imagemagick --disable-video --without-python
the host
you should fill with something according to your own compiler.
then run
sh preparation.sh
before build, you should make sure that your gcc compiler is fit with your OS.
you can install gcc build env from https://sourceforge.net/projects/mingw-w64/files/
for windows
Notice that mingw64 and mingw-w64 is not the same thing.
It is recommended for you to install setuptools to install and build.
pip install setuptools wheel
I select x86_64-posix-seh-rev0
to build my wheel on Windows.
python setup.py build -c mingw32
to build whl
python setup.py bdist_wheel
to install
python setup.py install
##Some errors you could meet:
cannot find -lmsvcr140
if you build this whl in Windows with python setup.py build_ext --compiler=mingw32
,
you may meet an error that cannot find -lmsvcr140
, as you can see in https://stackoverflow.com/questions/43873604/where-is-msvcr140-dll-does-it-exist.
I fixed it in the setup.py
#How to use
import zbar
import cv2
img_path='./test.jpg'
# create a reader
scanner = zbar.ImageScanner()
# configure the reader
scanner.parse_config('enable')
# obtain image data
pil = cv2.imread(img_path,cv2.IMREAD_GRAYSCALE)
height, width = pil.shape[:2]
raw = pil.tobytes()
# wrap image data
image = zbar.Image(width, height, 'Y800', raw)
# scan the image for barcodes
scanner.scan(image)
# extract results
for symbol in image:
# do something useful with results
print('decoded', symbol.type, 'text', '"%s"' % symbol.data)
print('type {} text {} location {} quality {}'.format( symbol.type, symbol.data,symbol.location,symbol.quality))
# clean up
del(image)
#For more documents you can visit https://github.com/mchehab/zbar/tree/master/python
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