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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()