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