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42 lines
1.0 KiB
Python
42 lines
1.0 KiB
Python
#!/usr/bin/env python
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#
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# Shows how to scan a 16 bit grayscale image into a numarray object
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#
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from __future__ import print_function
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# Get the path set up to find PIL modules if not installed yet:
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import sys ; sys.path.append('../PIL')
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from numarray import *
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import sane
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import Image
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def toImage(arr):
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if arr.type().bytes == 1:
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# need to swap coordinates btw array and image (with [::-1])
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im = Image.fromstring('L', arr.shape[::-1], arr.tostring())
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else:
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arr_c = arr - arr.min()
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arr_c *= (255./arr_c.max())
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arr = arr_c.astype(UInt8)
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# need to swap coordinates btw array and image (with [::-1])
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im = Image.fromstring('L', arr.shape[::-1], arr.tostring())
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return im
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print('SANE version:', sane.init())
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print('Available devices=', sane.get_devices())
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s = sane.open(sane.get_devices()[0][0])
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# Set scan parameters
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s.mode = 'gray'
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s.br_x=320. ; s.br_y=240.
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print('Device parameters:', s.get_parameters())
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s.depth=16
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arr16 = s.arr_scan()
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toImage(arr16).show()
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