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