Pillow/Tests/test_box_blur.py

188 lines
6.0 KiB
Python

from helper import unittest, PillowTestCase
from PIL import Image, ImageOps
sample = Image.new("L", (7, 5))
sample.putdata(sum([
[210, 50, 20, 10, 220, 230, 80],
[190, 210, 20, 180, 170, 40, 110],
[120, 210, 250, 60, 220, 0, 220],
[220, 40, 230, 80, 130, 250, 40],
[250, 0, 80, 30, 60, 20, 110],
], []))
class TestBoxBlurApi(PillowTestCase):
def test_imageops(self):
i = ImageOps.box_blur(sample, 1)
self.assertEqual(i.mode, sample.mode)
self.assertEqual(i.size, sample.size)
self.assertIsInstance(i, Image.Image)
class TestBoxBlur(PillowTestCase):
def box_blur(self, image, radius=1):
return image._new(image.im.box_blur(radius))
def assertImage(self, im, data, delta=0):
it = iter(im.getdata())
for data_row in data:
im_row = [next(it) for _ in range(im.size[0])]
if any(
abs(data_v - im_v) > delta
for data_v, im_v in zip(data_row, im_row)
):
self.assertEqual(im_row, data_row)
self.assertRaises(StopIteration, next, it)
def assertBlur(self, im, radius, data, delta=0):
# check grayscale image
self.assertImage(self.box_blur(im, radius), data, delta)
rgba = Image.merge('RGBA', (im, im, im, im))
for band in self.box_blur(rgba, radius).split():
self.assertImage(band, data, delta)
def test_color_modes(self):
self.assertRaises(ValueError, self.box_blur, sample.convert("1"))
self.assertRaises(ValueError, self.box_blur, sample.convert("P"))
self.box_blur(sample.convert("L"))
self.box_blur(sample.convert("LA"))
self.assertRaises(ValueError, self.box_blur, sample.convert("I"))
self.assertRaises(ValueError, self.box_blur, sample.convert("F"))
self.box_blur(sample.convert("RGB"))
self.box_blur(sample.convert("RGBA"))
self.box_blur(sample.convert("CMYK"))
self.assertRaises(ValueError, self.box_blur, sample.convert("YCbCr"))
def test_radius_0(self):
self.assertBlur(
sample, 0,
[
[210, 50, 20, 10, 220, 230, 80],
[190, 210, 20, 180, 170, 40, 110],
[120, 210, 250, 60, 220, 0, 220],
[220, 40, 230, 80, 130, 250, 40],
[250, 0, 80, 30, 60, 20, 110],
]
)
def test_radius_0_02(self):
self.assertBlur(
sample, 0.02,
[
[206, 55, 20, 17, 215, 223, 83],
[189, 203, 31, 171, 169, 46, 110],
[125, 206, 241, 69, 210, 13, 210],
[215, 49, 221, 82, 131, 235, 48],
[244, 7, 80, 32, 60, 27, 107],
],
delta=2,
)
def test_radius_0_05(self):
self.assertBlur(
sample, 0.05,
[
[202, 62, 22, 27, 209, 215, 88],
[188, 194, 44, 161, 168, 56, 111],
[131, 201, 229, 81, 198, 31, 198],
[209, 62, 209, 86, 133, 216, 59],
[237, 17, 80, 36, 60, 35, 103],
],
delta=2,
)
def test_radius_0_1(self):
self.assertBlur(
sample, 0.1,
[
[196, 72, 24, 40, 200, 203, 93],
[187, 183, 62, 148, 166, 68, 111],
[139, 193, 213, 96, 182, 54, 182],
[201, 78, 193, 91, 133, 191, 73],
[227, 31, 80, 42, 61, 47, 99],
],
delta=1,
)
def test_radius_0_5(self):
self.assertBlur(
sample, 0.5,
[
[176, 101, 46, 83, 163, 165, 111],
[176, 149, 108, 122, 144, 120, 117],
[164, 171, 159, 141, 134, 119, 129],
[170, 136, 133, 114, 116, 124, 109],
[184, 95, 72, 70, 69, 81, 89],
],
delta=1,
)
def test_radius_1(self):
self.assertBlur(
sample, 1,
[
[170, 109, 63, 97, 146, 153, 116],
[168, 142, 112, 128, 126, 143, 121],
[169, 166, 142, 149, 126, 131, 114],
[159, 156, 109, 127, 94, 117, 112],
[164, 128, 63, 87, 76, 89, 90],
],
delta=1,
)
def test_radius_1_5(self):
self.assertBlur(
sample, 1.5,
[
[155, 120, 105, 112, 124, 137, 130],
[160, 136, 124, 125, 127, 134, 130],
[166, 147, 130, 125, 120, 121, 119],
[168, 145, 119, 109, 103, 105, 110],
[168, 134, 96, 85, 85, 89, 97],
],
delta=1,
)
def test_radius_bigger_then_half(self):
self.assertBlur(
sample, 3,
[
[144, 145, 142, 128, 114, 115, 117],
[148, 145, 137, 122, 109, 111, 112],
[152, 145, 131, 117, 103, 107, 108],
[156, 144, 126, 111, 97, 102, 103],
[160, 144, 121, 106, 92, 98, 99],
],
delta=1,
)
def test_radius_bigger_then_width(self):
self.assertBlur(
sample, 10,
[
[158, 153, 147, 141, 135, 129, 123],
[159, 153, 147, 141, 136, 130, 124],
[159, 154, 148, 142, 136, 130, 124],
[160, 154, 148, 142, 137, 131, 125],
[160, 155, 149, 143, 137, 131, 125],
],
delta=0,
)
def test_exteme_large_radius(self):
self.assertBlur(
sample, 600,
[
[162, 162, 162, 162, 162, 162, 162],
[162, 162, 162, 162, 162, 162, 162],
[162, 162, 162, 162, 162, 162, 162],
[162, 162, 162, 162, 162, 162, 162],
[162, 162, 162, 162, 162, 162, 162],
],
delta=1,
)