mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-11-11 04:07:21 +03:00
4de5477b61
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.
76 lines
2.8 KiB
Python
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)
|