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Merge pull request #2058 from matthew-brett/fix-numpy-bit-conversion
BF: fix conversion of bit images to numpy arrays
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commit
9cd131c8bb
26
PIL/Image.py
26
PIL/Image.py
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@ -246,7 +246,7 @@ else:
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_MODE_CONV = {
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# official modes
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"1": ('|b1', None), # broken
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"1": ('|b1', None), # Bits need to be extended to bytes
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"L": ('|u1', None),
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"LA": ('|u1', 2),
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"I": (_ENDIAN + 'i4', None),
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@ -615,17 +615,21 @@ class Image(object):
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self.save(b, 'PNG')
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return b.getvalue()
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def __getattr__(self, name):
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if name == "__array_interface__":
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# numpy array interface support
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new = {}
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shape, typestr = _conv_type_shape(self)
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new['shape'] = shape
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new['typestr'] = typestr
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@property
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def __array_interface__(self):
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# numpy array interface support
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new = {}
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shape, typestr = _conv_type_shape(self)
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new['shape'] = shape
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new['typestr'] = typestr
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new['version'] = 3
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if self.mode == '1':
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# Binary images need to be extended from bits to bytes
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# See: https://github.com/python-pillow/Pillow/issues/350
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new['data'] = self.tobytes('raw', 'L')
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else:
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new['data'] = self.tobytes()
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new['version'] = 3
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return new
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raise AttributeError(name)
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return new
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def __getstate__(self):
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return [
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@ -25,13 +25,26 @@ class TestImageArray(PillowTestCase):
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self.assertEqual(test("RGBX"), (3, (100, 128, 4), '|u1', 51200))
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def test_fromarray(self):
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class Wrapper(object):
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""" Class with API matching Image.fromarray """
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def __init__(self, img, arr_params):
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self.img = img
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self.__array_interface__ = arr_params
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def tobytes(self):
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return self.img.tobytes()
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def test(mode):
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i = im.convert(mode)
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a = i.__array_interface__
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a["strides"] = 1 # pretend it's non-contiguous
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i.__array_interface__ = a # patch in new version of attribute
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out = Image.fromarray(i)
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a["strides"] = 1 # pretend it's non-contigous
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# Make wrapper instance for image, new array interface
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wrapped = Wrapper(i, a)
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out = Image.fromarray(wrapped)
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return out.mode, out.size, list(i.getdata()) == list(out.getdata())
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# self.assertEqual(test("1"), ("1", (128, 100), True))
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self.assertEqual(test("L"), ("L", (128, 100), True))
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self.assertEqual(test("I"), ("I", (128, 100), True))
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@ -117,6 +117,15 @@ class TestNumpy(PillowTestCase):
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self._test_img_equals_nparray(img, np_img)
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self.assertEqual(np_img.dtype, numpy.dtype('<u2'))
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def test_1bit(self):
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# Test that 1-bit arrays convert to numpy and back
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# See: https://github.com/python-pillow/Pillow/issues/350
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arr = numpy.array([[1, 0, 0, 1, 0], [0, 1, 0, 0, 0]], 'u1')
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img = Image.fromarray(arr * 255).convert('1')
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self.assertEqual(img.mode, '1')
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arr_back = numpy.array(img)
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numpy.testing.assert_array_equal(arr, arr_back)
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def test_save_tiff_uint16(self):
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'''
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Open a single-channel uint16 greyscale image and verify that it can be saved without
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