Python 2/3 使用 zbar 库识别图片中的条形码和二维码

Song • 1835 次浏览 • 0 个回复 • 2020年12月08日

环境要求:

  • python
  • PIL/Pillow或OpenCV/numpy ndarrays
  • Decodes locations of barcodes
  • zbar库

安装

Windows Python中包含zbarDLLs的轮子。在其他操作系统上,您将需要安装zbar共享库。

Mac OS X:

brew install zbar

Linux:

sudo apt-get install libzbar0

安装pyzbar包;使用第二种形式来安装命令行脚本的依赖项:

pip install pyzbar
pip install pyzbar[scripts]

用法示例

使用PIL.Image格式。

>>> 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)
        ]
    )
]

它还支持OpenCV加载的numpy.ndarray的实例图像。

>>> 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)
        ]
    )
]

您还可以提供一个元组(pixels, width, height),其中图像数据是每个八位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 "<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]

默认是解码所有符号类型。您可以只查找你要的符号类型

>>> 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])
[]

边界框和多边形

蓝色和粉红色框分别显示pyzbar/tests/qrcode.png中的条形码的rectpolygon(请参阅 bounding_box_and_polygon.py)

\1.png

Windows错误信息

如果在Windows上导入pyzbar时看到ImportError,则很可能需要Visual Studio 2013Visual C ++可再发行组件包。如果使用64位的Python安装vcredist_x64.exe,如果使用32位的Python选择vcredist_x64.exe。下载地址vcredist_x64.exe


原创文章,转载请注明 :Python 2/3 使用 zbar 库识别图片中的条形码和二维码 - pytorch中文网
原文出处: https://ptorch.com/news/262.html
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