Pillow/Tests/test_imageops_usm.py
Jon Dufresne 4de5477b61 Remove unnecessary unittest.main() boilerplate from test files
With the introduction and use of pytest, it is simple and easy to
execute specific tests in isolation through documented command line
arguments. Either by specifying the module path or through the `-k
EXPRESSION` argument. There is no longer any need to provide the
boilerplate:

    if __name__ == '__main__':
        unittest.main()

To every test file. It is simply noise.

The pattern remains in test files that aren't named with `test_*` as
those files are not discovered and executed by pytest by default.
2019-02-03 10:10:16 -08:00

76 lines
2.8 KiB
Python

from .helper import PillowTestCase
from PIL import Image
from PIL import ImageFilter
im = Image.open("Tests/images/hopper.ppm")
snakes = Image.open("Tests/images/color_snakes.png")
class TestImageOpsUsm(PillowTestCase):
def test_filter_api(self):
test_filter = ImageFilter.GaussianBlur(2.0)
i = im.filter(test_filter)
self.assertEqual(i.mode, "RGB")
self.assertEqual(i.size, (128, 128))
test_filter = ImageFilter.UnsharpMask(2.0, 125, 8)
i = im.filter(test_filter)
self.assertEqual(i.mode, "RGB")
self.assertEqual(i.size, (128, 128))
def test_usm_formats(self):
usm = ImageFilter.UnsharpMask
self.assertRaises(ValueError, im.convert("1").filter, usm)
im.convert("L").filter(usm)
self.assertRaises(ValueError, im.convert("I").filter, usm)
self.assertRaises(ValueError, im.convert("F").filter, usm)
im.convert("RGB").filter(usm)
im.convert("RGBA").filter(usm)
im.convert("CMYK").filter(usm)
self.assertRaises(ValueError, im.convert("YCbCr").filter, usm)
def test_blur_formats(self):
blur = ImageFilter.GaussianBlur
self.assertRaises(ValueError, im.convert("1").filter, blur)
blur(im.convert("L"))
self.assertRaises(ValueError, im.convert("I").filter, blur)
self.assertRaises(ValueError, im.convert("F").filter, blur)
im.convert("RGB").filter(blur)
im.convert("RGBA").filter(blur)
im.convert("CMYK").filter(blur)
self.assertRaises(ValueError, im.convert("YCbCr").filter, blur)
def test_usm_accuracy(self):
src = snakes.convert('RGB')
i = src.filter(ImageFilter.UnsharpMask(5, 1024, 0))
# Image should not be changed because it have only 0 and 255 levels.
self.assertEqual(i.tobytes(), src.tobytes())
def test_blur_accuracy(self):
i = snakes.filter(ImageFilter.GaussianBlur(.4))
# These pixels surrounded with pixels with 255 intensity.
# They must be very close to 255.
for x, y, c in [(1, 0, 1), (2, 0, 1), (7, 8, 1), (8, 8, 1), (2, 9, 1),
(7, 3, 0), (8, 3, 0), (5, 8, 0), (5, 9, 0), (1, 3, 0),
(4, 3, 2), (4, 2, 2)]:
self.assertGreaterEqual(i.im.getpixel((x, y))[c], 250)
# Fuzzy match.
def gp(x, y):
return i.im.getpixel((x, y))
self.assertTrue(236 <= gp(7, 4)[0] <= 239)
self.assertTrue(236 <= gp(7, 5)[2] <= 239)
self.assertTrue(236 <= gp(7, 6)[2] <= 239)
self.assertTrue(236 <= gp(7, 7)[1] <= 239)
self.assertTrue(236 <= gp(8, 4)[0] <= 239)
self.assertTrue(236 <= gp(8, 5)[2] <= 239)
self.assertTrue(236 <= gp(8, 6)[2] <= 239)
self.assertTrue(236 <= gp(8, 7)[1] <= 239)