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