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complete tests for supported modes
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Tests/images/radial_gradients.png
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Tests/images/radial_gradients.png
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@ -1,6 +1,6 @@
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from PIL import Image
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from PIL import Image, ImageMode, ImageMath
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from .helper import PillowTestCase, hopper
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from .helper import PillowTestCase, hopper, convert_to_comparable
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class TestImageReduce(PillowTestCase):
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@ -10,11 +10,16 @@ class TestImageReduce(PillowTestCase):
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(1, 2), (1, 3), (1, 4), # 1xN implementation
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(2, 1), (3, 1), (4, 1), # Nx1 implementation
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# general implementation with different paths
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(4, 6), (5, 6), (4, 7), (5, 7),
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(4, 6), (5, 6), (4, 7), (5, 7), (19, 17),
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]
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@classmethod
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def setUpClass(cls):
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cls.gradients_image = Image.open("Tests/images/radial_gradients.png")
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cls.gradients_image.load()
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def test_args(self):
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im = Image.new('L', (10, 10))
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im = Image.new("L", (10, 10))
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self.assertEqual((4, 4), im.reduce(3).size)
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self.assertEqual((4, 10), im.reduce((3, 1)).size)
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@ -27,35 +32,114 @@ class TestImageReduce(PillowTestCase):
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with self.assertRaises(ValueError):
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im.reduce((0, 10))
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def check_correctness(self, im, factor):
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def get_image(self, mode):
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bands = [self.gradients_image]
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for _ in ImageMode.getmode(mode).bands[1:]:
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# rotate previous image
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band = bands[-1].transpose(Image.ROTATE_90)
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bands.append(band)
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# Correct alpha channel to exclude completely transparent pixels.
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# Low alpha values also emphasize error after alpha multiplication.
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if mode.endswith('A'):
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bands[-1] = bands[-1].point(lambda x: int(85 + x / 1.5))
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return Image.merge(mode, bands)
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def compare_reduce_with_reference(self, im, factor, average_diff=0.4, max_diff=1):
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"""Image.reduce() should look very similar to Image.resize(BOX).
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A reference image is compiled from a large source area
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and possible last column and last row.
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+-----------+
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|..........c|
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|..........c|
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|..........c|
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|rrrrrrrrrrp|
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+-----------+
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"""
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reduced = im.reduce(factor)
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if not isinstance(factor, (list, tuple)):
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factor = (factor, factor)
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# Image.reduce() should works very similar to Image.resize(BOX)
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# when image size is dividable by the factor.
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desired_size = (im.width // factor[0], im.height // factor[1])
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im = im.crop((0, 0, desired_size[0] * factor[0], desired_size[1] * factor[1]))
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reference = Image.new(im.mode, reduced.size)
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area_size = (im.size[0] // factor[0], im.size[1] // factor[1])
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area_box = (0, 0, area_size[0] * factor[0], area_size[1] * factor[1])
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area = im.resize(area_size, Image.BOX, area_box)
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reference.paste(area, (0, 0))
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reduced = im.reduce(factor)
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resized = im.resize(desired_size, Image.BOX)
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if area_size[0] < reduced.size[0]:
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self.assertEqual(reduced.size[0] - area_size[0], 1)
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last_column_box = (area_box[2], 0, im.size[0], area_box[3])
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last_column = im.resize((1, area_size[1]), Image.BOX, last_column_box)
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reference.paste(last_column, (area_size[0], 0))
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epsilon = 0.5 * len(reduced.getbands())
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self.assert_image_similar(reduced, resized, epsilon)
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if area_size[1] < reduced.size[1]:
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self.assertEqual(reduced.size[1] - area_size[1], 1)
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last_row_box = (0, area_box[3], area_box[2], im.size[1])
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last_row = im.resize((area_size[0], 1), Image.BOX, last_row_box)
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reference.paste(last_row, (0, area_size[1]))
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def test_mode_RGB(self):
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im = hopper('RGB')
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for factor in self.remarkable_factors:
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self.check_correctness(im, factor)
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if area_size[0] < reduced.size[0]:
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last_pixel_box = (area_box[2], area_box[3], im.size[0], im.size[1])
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last_pixel = im.resize((1, 1), Image.BOX, last_pixel_box)
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reference.paste(last_pixel, area_size)
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self.assert_compare_images(reduced, reference, average_diff, max_diff)
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def assert_compare_images(self, a, b, max_average_diff, max_diff=255):
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self.assertEqual(
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a.mode, b.mode, "got mode %r, expected %r" % (a.mode, b.mode))
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self.assertEqual(
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a.size, b.size, "got size %r, expected %r" % (a.size, b.size))
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a, b = convert_to_comparable(a, b)
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bands = ImageMode.getmode(a.mode).bands
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for band, ach, bch in zip(bands, a.split(), b.split()):
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ch_diff = ImageMath.eval("convert(abs(a - b), 'L')", a=ach, b=bch)
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ch_hist = ch_diff.histogram()
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average_diff = (sum(i * num for i, num in enumerate(ch_hist))
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/ float(a.size[0] * a.size[1]))
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self.assertGreaterEqual(
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max_average_diff, average_diff,
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("average pixel value difference {:.4f} > expected {:.4f} "
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"for '{}' band").format(average_diff, max_average_diff, band),
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)
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last_diff = [i for i, num in enumerate(ch_hist) if num > 0][-1]
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self.assertGreaterEqual(
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max_diff, last_diff,
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"max pixel value difference {} > expected {} for '{}' band"
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.format(last_diff, max_diff, band),
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)
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def test_mode_LA(self):
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im = Image.open("Tests/images/transparent.png").convert('LA')
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im = self.get_image("LA")
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for factor in self.remarkable_factors:
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print(factor)
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self.check_correctness(im, factor)
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self.compare_reduce_with_reference(im, factor, 0.8, 5)
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# With opaque alpha, error should be way smaller
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im.putalpha(Image.new('L', im.size, 255))
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for factor in self.remarkable_factors:
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self.compare_reduce_with_reference(im, factor)
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def test_mode_RGB(self):
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im = self.get_image("RGB")
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for factor in self.remarkable_factors:
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self.compare_reduce_with_reference(im, factor)
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def test_mode_RGBA(self):
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im = Image.open("Tests/images/transparent.png").convert('RGBA')
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im = self.get_image("RGBA")
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for factor in self.remarkable_factors:
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print(factor)
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self.check_correctness(im, factor)
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self.compare_reduce_with_reference(im, factor, 0.8, 5)
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# With opaque alpha, error should be way smaller
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im.putalpha(Image.new('L', im.size, 255))
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for factor in self.remarkable_factors:
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self.compare_reduce_with_reference(im, factor)
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def test_mode_CMYK(self):
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im = self.get_image("CMYK")
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for factor in self.remarkable_factors:
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self.compare_reduce_with_reference(im, factor)
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