Pillow/Tests/test_image_convert.py

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from helper import unittest, PillowTestCase, hopper
from PIL import Image
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class TestImageConvert(PillowTestCase):
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def test_sanity(self):
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def convert(im, mode):
out = im.convert(mode)
self.assertEqual(out.mode, mode)
self.assertEqual(out.size, im.size)
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modes = "1", "L", "I", "F", "RGB", "RGBA", "RGBX", "CMYK", "YCbCr"
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for mode in modes:
im = hopper(mode)
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for mode in modes:
convert(im, mode)
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# Check 0
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im = Image.new(mode, (0, 0))
for mode in modes:
convert(im, mode)
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def test_default(self):
im = hopper("P")
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self.assert_image(im, "P", im.size)
im = im.convert()
self.assert_image(im, "RGB", im.size)
im = im.convert()
self.assert_image(im, "RGB", im.size)
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# ref https://github.com/python-pillow/Pillow/issues/274
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def _test_float_conversion(self, im):
orig = im.getpixel((5, 5))
converted = im.convert('F').getpixel((5, 5))
self.assertEqual(orig, converted)
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def test_8bit(self):
im = Image.open('Tests/images/hopper.jpg')
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self._test_float_conversion(im.convert('L'))
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def test_16bit(self):
im = Image.open('Tests/images/16bit.cropped.tif')
self._test_float_conversion(im)
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def test_16bit_workaround(self):
im = Image.open('Tests/images/16bit.cropped.tif')
self._test_float_conversion(im.convert('I'))
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def test_rgba_p(self):
im = hopper('RGBA')
im.putalpha(hopper('L'))
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converted = im.convert('P')
comparable = converted.convert('RGBA')
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self.assert_image_similar(im, comparable, 20)
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def test_trns_p(self):
im = hopper('P')
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im.info['transparency'] = 0
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f = self.tempfile('temp.png')
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l = im.convert('L')
self.assertEqual(l.info['transparency'], 0) # undone
l.save(f)
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rgb = im.convert('RGB')
self.assertEqual(rgb.info['transparency'], (0, 0, 0)) # undone
rgb.save(f)
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# ref https://github.com/python-pillow/Pillow/issues/664
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def test_trns_p_rgba(self):
# Arrange
im = hopper('P')
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im.info['transparency'] = 128
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# Act
rgba = im.convert('RGBA')
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# Assert
self.assertNotIn('transparency', rgba.info)
# https://github.com/python-pillow/Pillow/issues/2702
self.assertEqual(rgba.palette, None)
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def test_trns_l(self):
im = hopper('L')
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im.info['transparency'] = 128
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f = self.tempfile('temp.png')
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rgb = im.convert('RGB')
self.assertEqual(rgb.info['transparency'], (128, 128, 128)) # undone
rgb.save(f)
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p = im.convert('P')
self.assertIn('transparency', p.info)
p.save(f)
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p = self.assert_warning(
UserWarning,
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im.convert, 'P', palette=Image.ADAPTIVE)
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self.assertNotIn('transparency', p.info)
p.save(f)
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def test_trns_RGB(self):
im = hopper('RGB')
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im.info['transparency'] = im.getpixel((0, 0))
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f = self.tempfile('temp.png')
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l = im.convert('L')
self.assertEqual(l.info['transparency'], l.getpixel((0, 0))) # undone
l.save(f)
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p = im.convert('P')
self.assertIn('transparency', p.info)
p.save(f)
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p = im.convert('RGBA')
self.assertNotIn('transparency', p.info)
p.save(f)
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p = self.assert_warning(
UserWarning,
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im.convert, 'P', palette=Image.ADAPTIVE)
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self.assertNotIn('transparency', p.info)
p.save(f)
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def test_p_la(self):
im = hopper('RGBA')
alpha = hopper('L')
im.putalpha(alpha)
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comparable = im.convert('P').convert('LA').getchannel('A')
self.assert_image_similar(alpha, comparable, 5)
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def test_matrix_illegal_conversion(self):
# Arrange
im = hopper('CMYK')
matrix = (
0.412453, 0.357580, 0.180423, 0,
0.212671, 0.715160, 0.072169, 0,
0.019334, 0.119193, 0.950227, 0)
self.assertNotEqual(im.mode, 'RGB')
# Act / Assert
self.assertRaises(ValueError,
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im.convert, mode='CMYK', matrix=matrix)
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def test_matrix_wrong_mode(self):
# Arrange
im = hopper('L')
matrix = (
0.412453, 0.357580, 0.180423, 0,
0.212671, 0.715160, 0.072169, 0,
0.019334, 0.119193, 0.950227, 0)
self.assertEqual(im.mode, 'L')
# Act / Assert
self.assertRaises(ValueError,
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im.convert, mode='L', matrix=matrix)
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def test_matrix_xyz(self):
def matrix_convert(mode):
# Arrange
im = hopper('RGB')
matrix = (
0.412453, 0.357580, 0.180423, 0,
0.212671, 0.715160, 0.072169, 0,
0.019334, 0.119193, 0.950227, 0)
self.assertEqual(im.mode, 'RGB')
# Act
# Convert an RGB image to the CIE XYZ colour space
converted_im = im.convert(mode=mode, matrix=matrix)
# Assert
self.assertEqual(converted_im.mode, mode)
self.assertEqual(converted_im.size, im.size)
target = Image.open('Tests/images/hopper-XYZ.png')
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if converted_im.mode == 'RGB':
self.assert_image_similar(converted_im, target, 3)
else:
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self.assert_image_similar(converted_im, target.getchannel(0), 1)
matrix_convert('RGB')
matrix_convert('L')
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def test_matrix_identity(self):
# Arrange
im = hopper('RGB')
identity_matrix = (
1, 0, 0, 0,
0, 1, 0, 0,
0, 0, 1, 0)
self.assertEqual(im.mode, 'RGB')
# Act
# Convert with an identity matrix
converted_im = im.convert(mode='RGB', matrix=identity_matrix)
# Assert
# No change
self.assert_image_equal(converted_im, im)
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if __name__ == '__main__':
unittest.main()