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|
#!/usr/bin/env python
import sane
import numpy
from PIL import Image
#
# Change these for 16bit / grayscale scans
#
depth = 8
mode = 'color'
#
# Initialize sane
#
ver = sane.init()
print('SANE version:', ver)
#
# Get devices
#
devices = sane.get_devices()
print('Available devices:', devices)
#
# Open first device
#
dev = sane.open(devices[0][0])
#
# Set some options
#
params = dev.get_parameters()
try:
dev.depth = depth
except Exception:
print('Cannot set depth, defaulting to %d' % params[3])
try:
dev.mode = mode
except Exception:
print('Cannot set mode, defaulting to %s' % params[0])
try:
dev.br_x = 320.
dev.br_y = 240.
except Exception:
print('Cannot set scan area, using default')
params = dev.get_parameters()
print(
'Device parameters:', params,
'\n Resolutions %d, x %d, y %d '
% (dev.resolution, dev.x_resolution, dev.y_resolution)
)
#
# Start a scan and get a PIL.Image object
#
dev.start()
im = dev.snap()
im.save('test_pil.png')
#
# Start another scan and get a numpy array object
#
# Initiate the scan and get a numpy array
dev.start()
arr = dev.arr_snap()
print("Array shape: %s, size: %d, type: %s, range: %d-%d, mean: %.1f, stddev: "
"%.1f" % (repr(arr.shape), arr.size, arr.dtype, arr.min(), arr.max(),
arr.mean(), arr.std()))
if arr.dtype == numpy.uint16:
arr = (arr / 255).astype(numpy.uint8)
# reshape needed by PIL library
arr = arr.reshape(arr.shape[2], arr.shape[1], arr.shape[0])
if params[0] == 'color':
im = Image.frombytes('RGB', arr.shape[1:], arr.tostring(), 'raw', 'RGB', 0,
1)
else:
im = Image.frombytes('L', arr.shape[1:], arr.tostring(), 'raw', 'L', 0, 1)
im.save('test_numpy.png')
#
# Close the device
#
dev.close()
|
