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92 lines
3.1 KiB
Python
92 lines
3.1 KiB
Python
from helper import unittest, PillowTestCase
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from PIL import Image
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from PIL import ImageOps
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from PIL import ImageFilter
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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_ops_api(self):
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i = ImageOps.gaussian_blur(im, 2.0)
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self.assertEqual(i.mode, "RGB")
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self.assertEqual(i.size, (128, 128))
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# i.save("blur.bmp")
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i = ImageOps.unsharp_mask(im, 2.0, 125, 8)
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self.assertEqual(i.mode, "RGB")
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self.assertEqual(i.size, (128, 128))
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# i.save("usm.bmp")
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def test_filter_api(self):
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filter = ImageFilter.GaussianBlur(2.0)
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i = im.filter(filter)
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self.assertEqual(i.mode, "RGB")
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self.assertEqual(i.size, (128, 128))
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filter = ImageFilter.UnsharpMask(2.0, 125, 8)
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i = im.filter(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 = ImageOps.unsharp_mask
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self.assertRaises(ValueError, lambda: usm(im.convert("1")))
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usm(im.convert("L"))
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self.assertRaises(ValueError, lambda: usm(im.convert("I")))
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self.assertRaises(ValueError, lambda: usm(im.convert("F")))
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usm(im.convert("RGB"))
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usm(im.convert("RGBA"))
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usm(im.convert("CMYK"))
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self.assertRaises(ValueError, lambda: usm(im.convert("YCbCr")))
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def test_blur_formats(self):
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blur = ImageOps.gaussian_blur
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self.assertRaises(ValueError, lambda: blur(im.convert("1")))
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blur(im.convert("L"))
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self.assertRaises(ValueError, lambda: blur(im.convert("I")))
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self.assertRaises(ValueError, lambda: blur(im.convert("F")))
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blur(im.convert("RGB"))
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blur(im.convert("RGBA"))
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blur(im.convert("CMYK"))
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self.assertRaises(ValueError, lambda: blur(im.convert("YCbCr")))
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def test_usm_accuracy(self):
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src = snakes.convert('RGB')
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i = src._new(ImageOps.unsharp_mask(src, 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._new(ImageOps.gaussian_blur(snakes, .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 [(1, 0, 1), (2, 0, 1), (7, 8, 1), (8, 8, 1), (2, 9, 1),
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(7, 3, 0), (8, 3, 0), (5, 8, 0), (5, 9, 0), (1, 3, 0),
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(4, 3, 2), (4, 2, 2)]:
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self.assertGreaterEqual(i.im.getpixel((x, y))[c], 250)
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# Fuzzy match.
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gp = lambda x, y: 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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if __name__ == '__main__':
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unittest.main()
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# End of file
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