python-pillow/Pillow
1
1
Fork 0
mirror of https://github.com/python-pillow/Pillow.git synced 2024-12-25 17:36:18 +03:00
Code Issues Packages Projects Releases Wiki Activity

tests for 90 degree transformation

Browse Source
This commit is contained in:
homm 2016-07-10 14:59:36 +03:00
parent 5232361718
commit 2522101ed7
1 changed files with 54 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

55
Tests/test_image_transform.py
View File

@ -98,7 +98,7 @@ class TestImageTransform(PillowTestCase):
def test_alpha_premult_resize(self): def test_alpha_premult_resize(self):
def op(im, sz): def op(im, sz):
return im.resize(sz, Image.LINEAR) return im.resize(sz, Image.BILINEAR)
self._test_alpha_premult(op) self._test_alpha_premult(op)
@ -139,6 +139,59 @@ class TestImageTransform(PillowTestCase):
self.test_mesh() self.test_mesh()
class TestImageTransformAffine(PillowTestCase):
def _test_image(self):
im = hopper('RGB')
return im.crop((10, 20, im.width - 10, im.height - 20))
def test_rotate_0_deg(self):
im = self._test_image()
transform_data = [
1, 0, 0,
0, 1, 0,
]
for resample in [Image.NEAREST, Image.BILINEAR, Image.BICUBIC]:
transformed = im.transform(im.size, Image.AFFINE,
transform_data, resample)
self.assert_image_equal(im, transformed)
def test_rotate_90_deg(self):
im = self._test_image()
transform_data = [
0, -1, im.width,
1, 0, 0,
]
transposed = im.transpose(Image.ROTATE_90)
for resample in [Image.NEAREST, Image.BILINEAR, Image.BICUBIC]:
transformed = im.transform(transposed.size, Image.AFFINE,
transform_data, resample)
self.assert_image_equal(transposed, transformed)
def test_rotate_180_deg(self):
im = self._test_image()
transform_data = [
-1, 0, im.width,
0, -1, im.height,
]
transposed = im.transpose(Image.ROTATE_180)
for resample in [Image.NEAREST, Image.BILINEAR, Image.BICUBIC]:
transformed = im.transform(transposed.size, Image.AFFINE,
transform_data, resample)
self.assert_image_equal(transposed, transformed)
def test_rotate_270_deg(self):
im = self._test_image()
transform_data = [
0, 1, 0,
-1, 0, im.height,
]
transposed = im.transpose(Image.ROTATE_270)
for resample in [Image.NEAREST, Image.BILINEAR, Image.BICUBIC]:
transformed = im.transform(transposed.size, Image.AFFINE,
transform_data, resample)
self.assert_image_equal(transposed, transformed)
if __name__ == '__main__': if __name__ == '__main__':
unittest.main() unittest.main()