mirror of
https://github.com/python-pillow/Pillow.git
synced 2025-10-31 16:07:30 +03:00
a7e3b2e47b
There are two main issues fixed with this commit: * bytes vs. str: All file, image, and palette data are now handled as bytes. A new _binary module consolidates the hacks needed to do this across Python versions. tostring/fromstring methods have been renamed to tobytes/frombytes, but the Python 2.6/2.7 versions alias them to the old names for compatibility. Users should move to tobytes/frombytes. One other potentially-breaking change is that text data in image files (such as tags, comments) are now explicitly handled with a specific character encoding in mind. This works well with the Unicode str in Python 3, but may trip up old code expecting a straight byte-for-byte translation to a Python string. This also required a change to Gohlke's tags tests (in Tests/test_file_png.py) to expect Unicode strings from the code. * True div vs. floor div: Many division operations used the "/" operator to do floor division, which is now the "//" operator in Python 3. These were fixed. As of this commit, on the first pass, I have one failing test (improper handling of a slice object in a C module, test_imagepath.py) in Python 3, and three that that I haven't tried running yet (test_imagegl, test_imagegrab, and test_imageqt). I also haven't tested anything on Windows. All but the three skipped tests run flawlessly against Pythons 2.6 and 2.7.
42 lines
1.0 KiB
Python
42 lines
1.0 KiB
Python
#!/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()
|