libzbar-cffi 0.2.1

安装

$ pip install libzbar-cffi

示例

>>> import libzbar as zb

# Images can be loaded from PIL images:
>>> from PIL import Image
>>> im = Image.open("test/qr-numeric.png")
>>> zb.Image.from_im(im).scan()
[<Symbol type=ZBAR_QRCODE quality=1 data='12345' locator=[(12, 12), (12, 75), (75, 75), (75, 12)]>]

# And from NumPy arrays. Note: if the array has an 8-bit data type (ex,
# uint8) a pointer to its data will be passed directly into zbar making
# this method very efficient.
>>> import numpy as np
>>> zb.Image.from_np(im.size, np.array(im)).scan()
[<Symbol type=ZBAR_QRCODE quality=1 data='12345' locator=[(12, 12), (12, 75), (75, 75), (75, 12)]>]

# By default, only QR codes will be scanned. Other symbol types can be
# scanned using the ``symbol_type`` argument (see ``libzbar.symbol_types``),
# or ``0`` for "all symbol types":
>>> ean13 = zb.Image.from_im(Image.open("test/ean13-example.png"))
>>> ean13.scan()
[]
>>> ean13.scan(symbol_type=0)
[<Symbol type=ZBAR_EAN13 quality=449 data='0012345678905' locator=[(30, 23), ..., (30, 247)]>]

NumPy注意

当使用Image.from_np(…)构造函数时，将指向底层数组的指针直接传递给zbar。检查数组的大小和数据类型，但目前忽略了ctypes标志，如果底层数组不是简单的uint8_t[size[0] * size[1]]，可能会发生奇怪的事情。

此外，不应该在Image的生命周期内更改数组，因为这可能会使数据指针无效。