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43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
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from helper import PillowTestCase
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try:
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import numpy as np
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from numpy.testing import assert_equal
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from scipy import misc
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HAS_SCIPY = True
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except:
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HAS_SCIPY = False
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class Test_scipy_resize(PillowTestCase):
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""" Tests for scipy regression in 2.6.0 """
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def setUp(self):
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if not HAS_SCIPY:
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self.skipTest("Scipy Required")
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def test_imresize(self):
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im = np.random.random((10,20))
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for T in np.sctypes['float'] + [float]:
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# 1.1 rounds to below 1.1 for float16, 1.101 works
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im1 = misc.imresize(im,T(1.101))
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self.assertEqual(im1.shape,(11,22))
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def test_imresize4(self):
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im = np.array([[1,2],
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[3,4]])
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res = np.array([[ 1. , 1. , 1.5, 2. ],
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[ 1. , 1. , 1.5, 2. ],
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[ 2. , 2. , 2.5, 3. ],
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[ 3. , 3. , 3.5, 4. ]], dtype=np.float32)
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# Check that resizing by target size, float and int are the same
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im2 = misc.imresize(im, (4,4), mode='F') # output size
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im3 = misc.imresize(im, 2., mode='F') # fraction
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im4 = misc.imresize(im, 200, mode='F') # percentage
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assert_equal(im2, res)
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assert_equal(im3, res)
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assert_equal(im4, res)
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