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d50445ff30
Similar to the recent adoption of Black. isort is a Python utility to sort imports alphabetically and automatically separate into sections. By using isort, contributors can quickly and automatically conform to the projects style without thinking. Just let the tool do it. Uses the configuration recommended by the Black to avoid conflicts of style. Rewrite TestImageQt.test_deprecated to no rely on import order.
86 lines
2.9 KiB
Python
86 lines
2.9 KiB
Python
from PIL import Image, ImageFilter
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from .helper import PillowTestCase
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im = Image.open("Tests/images/hopper.ppm")
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snakes = Image.open("Tests/images/color_snakes.png")
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class TestImageOpsUsm(PillowTestCase):
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def test_filter_api(self):
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test_filter = ImageFilter.GaussianBlur(2.0)
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i = im.filter(test_filter)
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self.assertEqual(i.mode, "RGB")
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self.assertEqual(i.size, (128, 128))
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test_filter = ImageFilter.UnsharpMask(2.0, 125, 8)
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i = im.filter(test_filter)
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self.assertEqual(i.mode, "RGB")
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self.assertEqual(i.size, (128, 128))
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def test_usm_formats(self):
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usm = ImageFilter.UnsharpMask
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self.assertRaises(ValueError, im.convert("1").filter, usm)
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im.convert("L").filter(usm)
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self.assertRaises(ValueError, im.convert("I").filter, usm)
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self.assertRaises(ValueError, im.convert("F").filter, usm)
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im.convert("RGB").filter(usm)
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im.convert("RGBA").filter(usm)
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im.convert("CMYK").filter(usm)
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self.assertRaises(ValueError, im.convert("YCbCr").filter, usm)
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def test_blur_formats(self):
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blur = ImageFilter.GaussianBlur
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self.assertRaises(ValueError, im.convert("1").filter, blur)
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blur(im.convert("L"))
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self.assertRaises(ValueError, im.convert("I").filter, blur)
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self.assertRaises(ValueError, im.convert("F").filter, blur)
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im.convert("RGB").filter(blur)
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im.convert("RGBA").filter(blur)
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im.convert("CMYK").filter(blur)
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self.assertRaises(ValueError, im.convert("YCbCr").filter, blur)
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def test_usm_accuracy(self):
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src = snakes.convert("RGB")
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i = src.filter(ImageFilter.UnsharpMask(5, 1024, 0))
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# Image should not be changed because it have only 0 and 255 levels.
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self.assertEqual(i.tobytes(), src.tobytes())
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def test_blur_accuracy(self):
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i = snakes.filter(ImageFilter.GaussianBlur(0.4))
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# These pixels surrounded with pixels with 255 intensity.
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# They must be very close to 255.
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for x, y, c in [
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(1, 0, 1),
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(2, 0, 1),
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(7, 8, 1),
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(8, 8, 1),
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(2, 9, 1),
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(7, 3, 0),
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(8, 3, 0),
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(5, 8, 0),
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(5, 9, 0),
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(1, 3, 0),
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(4, 3, 2),
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(4, 2, 2),
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]:
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self.assertGreaterEqual(i.im.getpixel((x, y))[c], 250)
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# Fuzzy match.
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def gp(x, y):
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return i.im.getpixel((x, y))
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self.assertTrue(236 <= gp(7, 4)[0] <= 239)
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self.assertTrue(236 <= gp(7, 5)[2] <= 239)
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self.assertTrue(236 <= gp(7, 6)[2] <= 239)
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self.assertTrue(236 <= gp(7, 7)[1] <= 239)
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self.assertTrue(236 <= gp(8, 4)[0] <= 239)
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self.assertTrue(236 <= gp(8, 5)[2] <= 239)
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self.assertTrue(236 <= gp(8, 6)[2] <= 239)
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self.assertTrue(236 <= gp(8, 7)[1] <= 239)
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