mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-09-21 19:38:57 +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.
221 lines
8.3 KiB
Python
221 lines
8.3 KiB
Python
from .helper import PillowTestCase, hopper
|
|
|
|
from PIL import ImageOps
|
|
from PIL import Image
|
|
|
|
|
|
class TestImageOps(PillowTestCase):
|
|
|
|
class Deformer(object):
|
|
def getmesh(self, im):
|
|
x, y = im.size
|
|
return [((0, 0, x, y), (0, 0, x, 0, x, y, y, 0))]
|
|
|
|
deformer = Deformer()
|
|
|
|
def test_sanity(self):
|
|
|
|
ImageOps.autocontrast(hopper("L"))
|
|
ImageOps.autocontrast(hopper("RGB"))
|
|
|
|
ImageOps.autocontrast(hopper("L"), cutoff=10)
|
|
ImageOps.autocontrast(hopper("L"), ignore=[0, 255])
|
|
|
|
ImageOps.colorize(hopper("L"), (0, 0, 0), (255, 255, 255))
|
|
ImageOps.colorize(hopper("L"), "black", "white")
|
|
|
|
ImageOps.pad(hopper("L"), (128, 128))
|
|
ImageOps.pad(hopper("RGB"), (128, 128))
|
|
|
|
ImageOps.crop(hopper("L"), 1)
|
|
ImageOps.crop(hopper("RGB"), 1)
|
|
|
|
ImageOps.deform(hopper("L"), self.deformer)
|
|
ImageOps.deform(hopper("RGB"), self.deformer)
|
|
|
|
ImageOps.equalize(hopper("L"))
|
|
ImageOps.equalize(hopper("RGB"))
|
|
|
|
ImageOps.expand(hopper("L"), 1)
|
|
ImageOps.expand(hopper("RGB"), 1)
|
|
ImageOps.expand(hopper("L"), 2, "blue")
|
|
ImageOps.expand(hopper("RGB"), 2, "blue")
|
|
|
|
ImageOps.fit(hopper("L"), (128, 128))
|
|
ImageOps.fit(hopper("RGB"), (128, 128))
|
|
|
|
ImageOps.flip(hopper("L"))
|
|
ImageOps.flip(hopper("RGB"))
|
|
|
|
ImageOps.grayscale(hopper("L"))
|
|
ImageOps.grayscale(hopper("RGB"))
|
|
|
|
ImageOps.invert(hopper("L"))
|
|
ImageOps.invert(hopper("RGB"))
|
|
|
|
ImageOps.mirror(hopper("L"))
|
|
ImageOps.mirror(hopper("RGB"))
|
|
|
|
ImageOps.posterize(hopper("L"), 4)
|
|
ImageOps.posterize(hopper("RGB"), 4)
|
|
|
|
ImageOps.solarize(hopper("L"))
|
|
ImageOps.solarize(hopper("RGB"))
|
|
|
|
def test_1pxfit(self):
|
|
# Division by zero in equalize if image is 1 pixel high
|
|
newimg = ImageOps.fit(hopper("RGB").resize((1, 1)), (35, 35))
|
|
self.assertEqual(newimg.size, (35, 35))
|
|
|
|
newimg = ImageOps.fit(hopper("RGB").resize((1, 100)), (35, 35))
|
|
self.assertEqual(newimg.size, (35, 35))
|
|
|
|
newimg = ImageOps.fit(hopper("RGB").resize((100, 1)), (35, 35))
|
|
self.assertEqual(newimg.size, (35, 35))
|
|
|
|
def test_pad(self):
|
|
# Same ratio
|
|
im = hopper()
|
|
new_size = (im.width * 2, im.height * 2)
|
|
new_im = ImageOps.pad(im, new_size)
|
|
self.assertEqual(new_im.size, new_size)
|
|
|
|
for label, color, new_size in [
|
|
("h", None, (im.width * 4, im.height * 2)),
|
|
("v", "#f00", (im.width * 2, im.height * 4))
|
|
]:
|
|
for i, centering in enumerate([(0, 0), (0.5, 0.5), (1, 1)]):
|
|
new_im = ImageOps.pad(im, new_size,
|
|
color=color, centering=centering)
|
|
self.assertEqual(new_im.size, new_size)
|
|
|
|
target = Image.open(
|
|
"Tests/images/imageops_pad_"+label+"_"+str(i)+".jpg")
|
|
self.assert_image_similar(new_im, target, 6)
|
|
|
|
def test_pil163(self):
|
|
# Division by zero in equalize if < 255 pixels in image (@PIL163)
|
|
|
|
i = hopper("RGB").resize((15, 16))
|
|
|
|
ImageOps.equalize(i.convert("L"))
|
|
ImageOps.equalize(i.convert("P"))
|
|
ImageOps.equalize(i.convert("RGB"))
|
|
|
|
def test_scale(self):
|
|
# Test the scaling function
|
|
i = hopper("L").resize((50, 50))
|
|
|
|
with self.assertRaises(ValueError):
|
|
ImageOps.scale(i, -1)
|
|
|
|
newimg = ImageOps.scale(i, 1)
|
|
self.assertEqual(newimg.size, (50, 50))
|
|
|
|
newimg = ImageOps.scale(i, 2)
|
|
self.assertEqual(newimg.size, (100, 100))
|
|
|
|
newimg = ImageOps.scale(i, 0.5)
|
|
self.assertEqual(newimg.size, (25, 25))
|
|
|
|
def test_colorize_2color(self):
|
|
# Test the colorizing function with 2-color functionality
|
|
|
|
# Open test image (256px by 10px, black to white)
|
|
im = Image.open("Tests/images/bw_gradient.png")
|
|
im = im.convert("L")
|
|
|
|
# Create image with original 2-color functionality
|
|
im_test = ImageOps.colorize(im, 'red', 'green')
|
|
|
|
# Test output image (2-color)
|
|
left = (0, 1)
|
|
middle = (127, 1)
|
|
right = (255, 1)
|
|
self.assert_tuple_approx_equal(im_test.getpixel(left),
|
|
(255, 0, 0),
|
|
threshold=1,
|
|
msg='black test pixel incorrect')
|
|
self.assert_tuple_approx_equal(im_test.getpixel(middle),
|
|
(127, 63, 0),
|
|
threshold=1,
|
|
msg='mid test pixel incorrect')
|
|
self.assert_tuple_approx_equal(im_test.getpixel(right),
|
|
(0, 127, 0),
|
|
threshold=1,
|
|
msg='white test pixel incorrect')
|
|
|
|
def test_colorize_2color_offset(self):
|
|
# Test the colorizing function with 2-color functionality and offset
|
|
|
|
# Open test image (256px by 10px, black to white)
|
|
im = Image.open("Tests/images/bw_gradient.png")
|
|
im = im.convert("L")
|
|
|
|
# Create image with original 2-color functionality with offsets
|
|
im_test = ImageOps.colorize(im,
|
|
black='red',
|
|
white='green',
|
|
blackpoint=50,
|
|
whitepoint=100)
|
|
|
|
# Test output image (2-color) with offsets
|
|
left = (25, 1)
|
|
middle = (75, 1)
|
|
right = (125, 1)
|
|
self.assert_tuple_approx_equal(im_test.getpixel(left),
|
|
(255, 0, 0),
|
|
threshold=1,
|
|
msg='black test pixel incorrect')
|
|
self.assert_tuple_approx_equal(im_test.getpixel(middle),
|
|
(127, 63, 0),
|
|
threshold=1,
|
|
msg='mid test pixel incorrect')
|
|
self.assert_tuple_approx_equal(im_test.getpixel(right),
|
|
(0, 127, 0),
|
|
threshold=1,
|
|
msg='white test pixel incorrect')
|
|
|
|
def test_colorize_3color_offset(self):
|
|
# Test the colorizing function with 3-color functionality and offset
|
|
|
|
# Open test image (256px by 10px, black to white)
|
|
im = Image.open("Tests/images/bw_gradient.png")
|
|
im = im.convert("L")
|
|
|
|
# Create image with new three color functionality with offsets
|
|
im_test = ImageOps.colorize(im,
|
|
black='red',
|
|
white='green',
|
|
mid='blue',
|
|
blackpoint=50,
|
|
whitepoint=200,
|
|
midpoint=100)
|
|
|
|
# Test output image (3-color) with offsets
|
|
left = (25, 1)
|
|
left_middle = (75, 1)
|
|
middle = (100, 1)
|
|
right_middle = (150, 1)
|
|
right = (225, 1)
|
|
self.assert_tuple_approx_equal(im_test.getpixel(left),
|
|
(255, 0, 0),
|
|
threshold=1,
|
|
msg='black test pixel incorrect')
|
|
self.assert_tuple_approx_equal(im_test.getpixel(left_middle),
|
|
(127, 0, 127),
|
|
threshold=1,
|
|
msg='low-mid test pixel incorrect')
|
|
self.assert_tuple_approx_equal(im_test.getpixel(middle),
|
|
(0, 0, 255),
|
|
threshold=1,
|
|
msg='mid incorrect')
|
|
self.assert_tuple_approx_equal(im_test.getpixel(right_middle),
|
|
(0, 63, 127),
|
|
threshold=1,
|
|
msg='high-mid test pixel incorrect')
|
|
self.assert_tuple_approx_equal(im_test.getpixel(right),
|
|
(0, 127, 0),
|
|
threshold=1,
|
|
msg='white test pixel incorrect')
|