mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-12-30 20:06:17 +03:00
146 lines
5.0 KiB
Python
146 lines
5.0 KiB
Python
from helper import unittest, PillowTestCase, hopper
|
|
|
|
from PIL import Image
|
|
|
|
|
|
class TestImageTransform(PillowTestCase):
|
|
|
|
def test_sanity(self):
|
|
from PIL import ImageTransform
|
|
|
|
im = Image.new("L", (100, 100))
|
|
|
|
seq = tuple(range(10))
|
|
|
|
transform = ImageTransform.AffineTransform(seq[:6])
|
|
im.transform((100, 100), transform)
|
|
transform = ImageTransform.ExtentTransform(seq[:4])
|
|
im.transform((100, 100), transform)
|
|
transform = ImageTransform.QuadTransform(seq[:8])
|
|
im.transform((100, 100), transform)
|
|
transform = ImageTransform.MeshTransform([(seq[:4], seq[:8])])
|
|
im.transform((100, 100), transform)
|
|
|
|
def test_extent(self):
|
|
im = hopper('RGB')
|
|
(w, h) = im.size
|
|
transformed = im.transform(im.size, Image.EXTENT,
|
|
(0, 0,
|
|
w//2, h//2), # ul -> lr
|
|
Image.BILINEAR)
|
|
|
|
scaled = im.resize((w*2, h*2), Image.BILINEAR).crop((0, 0, w, h))
|
|
|
|
# undone -- precision?
|
|
self.assert_image_similar(transformed, scaled, 23)
|
|
|
|
def test_quad(self):
|
|
# one simple quad transform, equivalent to scale & crop upper left quad
|
|
im = hopper('RGB')
|
|
(w, h) = im.size
|
|
transformed = im.transform(im.size, Image.QUAD,
|
|
(0, 0, 0, h//2,
|
|
# ul -> ccw around quad:
|
|
w//2, h//2, w//2, 0),
|
|
Image.BILINEAR)
|
|
|
|
scaled = im.transform((w, h), Image.AFFINE,
|
|
(.5, 0, 0, 0, .5, 0),
|
|
Image.BILINEAR)
|
|
|
|
self.assert_image_equal(transformed, scaled)
|
|
|
|
def test_mesh(self):
|
|
# this should be a checkerboard of halfsized hoppers in ul, lr
|
|
im = hopper('RGBA')
|
|
(w, h) = im.size
|
|
transformed = im.transform(im.size, Image.MESH,
|
|
[((0, 0, w//2, h//2), # box
|
|
(0, 0, 0, h,
|
|
w, h, w, 0)), # ul -> ccw around quad
|
|
((w//2, h//2, w, h), # box
|
|
(0, 0, 0, h,
|
|
w, h, w, 0))], # ul -> ccw around quad
|
|
Image.BILINEAR)
|
|
|
|
scaled = im.transform((w//2, h//2), Image.AFFINE,
|
|
(2, 0, 0, 0, 2, 0),
|
|
Image.BILINEAR)
|
|
|
|
checker = Image.new('RGBA', im.size)
|
|
checker.paste(scaled, (0, 0))
|
|
checker.paste(scaled, (w//2, h//2))
|
|
|
|
self.assert_image_equal(transformed, checker)
|
|
|
|
# now, check to see that the extra area is (0, 0, 0, 0)
|
|
blank = Image.new('RGBA', (w//2, h//2), (0, 0, 0, 0))
|
|
|
|
self.assert_image_equal(blank, transformed.crop((w//2, 0, w, h//2)))
|
|
self.assert_image_equal(blank, transformed.crop((0, h//2, w//2, h)))
|
|
|
|
def _test_alpha_premult(self, op):
|
|
# create image with half white, half black,
|
|
# with the black half transparent.
|
|
# do op,
|
|
# there should be no darkness in the white section.
|
|
im = Image.new('RGBA', (10, 10), (0, 0, 0, 0))
|
|
im2 = Image.new('RGBA', (5, 10), (255, 255, 255, 255))
|
|
im.paste(im2, (0, 0))
|
|
|
|
im = op(im, (40, 10))
|
|
im_background = Image.new('RGB', (40, 10), (255, 255, 255))
|
|
im_background.paste(im, (0, 0), im)
|
|
|
|
hist = im_background.histogram()
|
|
self.assertEqual(40*10, hist[-1])
|
|
|
|
def test_alpha_premult_resize(self):
|
|
|
|
def op(im, sz):
|
|
return im.resize(sz, Image.LINEAR)
|
|
|
|
self._test_alpha_premult(op)
|
|
|
|
def test_alpha_premult_transform(self):
|
|
|
|
def op(im, sz):
|
|
(w, h) = im.size
|
|
return im.transform(sz, Image.EXTENT,
|
|
(0, 0,
|
|
w, h),
|
|
Image.BILINEAR)
|
|
|
|
self._test_alpha_premult(op)
|
|
|
|
def test_blank_fill(self):
|
|
# attempting to hit
|
|
# https://github.com/python-pillow/Pillow/issues/254 reported
|
|
#
|
|
# issue is that transforms with transparent overflow area
|
|
# contained junk from previous images, especially on systems with
|
|
# constrained memory. So, attempt to fill up memory with a
|
|
# pattern, free it, and then run the mesh test again. Using a 1Mp
|
|
# image with 4 bands, for 4 megs of data allocated, x 64. OMM (64
|
|
# bit 12.04 VM with 512 megs available, this fails with Pillow <
|
|
# a0eaf06cc5f62a6fb6de556989ac1014ff3348ea
|
|
#
|
|
# Running by default, but I'd totally understand not doing it in
|
|
# the future
|
|
|
|
pattern = [
|
|
Image.new('RGBA', (1024, 1024), (a, a, a, a))
|
|
for a in range(1, 65)
|
|
]
|
|
|
|
# Yeah. Watch some JIT optimize this out.
|
|
pattern = None
|
|
|
|
self.test_mesh()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|
|
|
|
# End of file
|