text: #!/usr/bin/env python
  
  #
  # Shows how to scan a 16 bit grayscale image into a numarray object
  #
  
  from __future__ import print_function
  
  # 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.frombytes('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.frombytes('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()
  