284 lines
10 KiB
Python
284 lines
10 KiB
Python
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from __future__ import division, print_function, absolute_import
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import os.path
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import tempfile
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import shutil
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import numpy as np
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import glob
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import pytest
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from pytest import raises as assert_raises
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from numpy.testing import (assert_equal, assert_allclose,
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assert_array_equal, assert_)
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from scipy._lib._numpy_compat import suppress_warnings
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from scipy import misc
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from numpy.ma.testutils import assert_mask_equal
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try:
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import PIL.Image
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except ImportError:
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_have_PIL = False
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else:
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_have_PIL = True
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# Function / method decorator for skipping PIL tests on import failure
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_pilskip = pytest.mark.skipif(not _have_PIL, reason='Need to import PIL for this test')
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datapath = os.path.dirname(__file__)
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@_pilskip
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class TestPILUtil(object):
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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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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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im1 = misc.imresize(im, T(1.101))
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assert_equal(im1.shape, (11, 22))
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def test_imresize2(self):
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im = np.random.random((20, 30))
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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im2 = misc.imresize(im, (30, 40), interp='bicubic')
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assert_equal(im2.shape, (30, 40))
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def test_imresize3(self):
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im = np.random.random((15, 30))
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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im2 = misc.imresize(im, (30, 60), interp='nearest')
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assert_equal(im2.shape, (30, 60))
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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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# Check that resizing by target size, float and int are the same
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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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, im3)
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assert_equal(im2, im4)
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def test_imresize5(self):
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im = np.random.random((25, 15))
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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im2 = misc.imresize(im, (30, 60), interp='lanczos')
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assert_equal(im2.shape, (30, 60))
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def test_bytescale(self):
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x = np.array([0, 1, 2], np.uint8)
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y = np.array([0, 1, 2])
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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assert_equal(misc.bytescale(x), x)
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assert_equal(misc.bytescale(y), [0, 128, 255])
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def test_bytescale_keywords(self):
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x = np.array([40, 60, 120, 200, 300, 500])
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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res_lowhigh = misc.bytescale(x, low=10, high=143)
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assert_equal(res_lowhigh, [10, 16, 33, 56, 85, 143])
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res_cmincmax = misc.bytescale(x, cmin=60, cmax=300)
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assert_equal(res_cmincmax, [0, 0, 64, 149, 255, 255])
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assert_equal(misc.bytescale(np.array([3, 3, 3]), low=4), [4, 4, 4])
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def test_bytescale_cscale_lowhigh(self):
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a = np.arange(10)
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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actual = misc.bytescale(a, cmin=3, cmax=6, low=100, high=200)
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expected = [100, 100, 100, 100, 133, 167, 200, 200, 200, 200]
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assert_equal(actual, expected)
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def test_bytescale_mask(self):
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a = np.ma.MaskedArray(data=[1, 2, 3], mask=[False, False, True])
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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actual = misc.bytescale(a)
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expected = [0, 255, 3]
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assert_equal(expected, actual)
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assert_mask_equal(a.mask, actual.mask)
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assert_(isinstance(actual, np.ma.MaskedArray))
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def test_bytescale_rounding(self):
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a = np.array([-0.5, 0.5, 1.5, 2.5, 3.5])
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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actual = misc.bytescale(a, cmin=0, cmax=10, low=0, high=10)
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expected = [0, 1, 2, 3, 4]
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assert_equal(actual, expected)
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def test_bytescale_low_greaterthan_high(self):
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with assert_raises(ValueError):
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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misc.bytescale(np.arange(3), low=10, high=5)
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def test_bytescale_low_lessthan_0(self):
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with assert_raises(ValueError):
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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misc.bytescale(np.arange(3), low=-1)
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def test_bytescale_high_greaterthan_255(self):
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with assert_raises(ValueError):
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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misc.bytescale(np.arange(3), high=256)
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def test_bytescale_low_equals_high(self):
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a = np.arange(3)
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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actual = misc.bytescale(a, low=10, high=10)
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expected = [10, 10, 10]
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assert_equal(actual, expected)
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def test_imsave(self):
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picdir = os.path.join(datapath, "data")
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for png in glob.iglob(picdir + "/*.png"):
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with suppress_warnings() as sup:
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# PIL causes a Py3k ResourceWarning
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sup.filter(message="unclosed file")
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sup.filter(DeprecationWarning)
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img = misc.imread(png)
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tmpdir = tempfile.mkdtemp()
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try:
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fn1 = os.path.join(tmpdir, 'test.png')
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fn2 = os.path.join(tmpdir, 'testimg')
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with suppress_warnings() as sup:
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# PIL causes a Py3k ResourceWarning
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sup.filter(message="unclosed file")
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sup.filter(DeprecationWarning)
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misc.imsave(fn1, img)
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misc.imsave(fn2, img, 'PNG')
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with suppress_warnings() as sup:
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# PIL causes a Py3k ResourceWarning
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sup.filter(message="unclosed file")
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sup.filter(DeprecationWarning)
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data1 = misc.imread(fn1)
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data2 = misc.imread(fn2)
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assert_allclose(data1, img)
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assert_allclose(data2, img)
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assert_equal(data1.shape, img.shape)
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assert_equal(data2.shape, img.shape)
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finally:
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shutil.rmtree(tmpdir)
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def check_fromimage(filename, irange, shape):
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fp = open(filename, "rb")
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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img = misc.fromimage(PIL.Image.open(fp))
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fp.close()
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imin, imax = irange
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assert_equal(img.min(), imin)
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assert_equal(img.max(), imax)
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assert_equal(img.shape, shape)
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@_pilskip
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def test_fromimage():
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# Test generator for parametric tests
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# Tuples in the list are (filename, (datamin, datamax), shape).
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files = [('icon.png', (0, 255), (48, 48, 4)),
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('icon_mono.png', (0, 255), (48, 48, 4)),
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('icon_mono_flat.png', (0, 255), (48, 48, 3))]
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for fn, irange, shape in files:
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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check_fromimage(os.path.join(datapath, 'data', fn), irange, shape)
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@_pilskip
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def test_imread_indexed_png():
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# The file `foo3x5x4indexed.png` was created with this array
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# (3x5 is (height)x(width)):
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data = np.array([[[127, 0, 255, 255],
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[127, 0, 255, 255],
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[127, 0, 255, 255],
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[127, 0, 255, 255],
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[127, 0, 255, 255]],
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[[192, 192, 255, 0],
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[192, 192, 255, 0],
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[0, 0, 255, 0],
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[0, 0, 255, 0],
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[0, 0, 255, 0]],
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[[0, 31, 255, 255],
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[0, 31, 255, 255],
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[0, 31, 255, 255],
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[0, 31, 255, 255],
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[0, 31, 255, 255]]], dtype=np.uint8)
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filename = os.path.join(datapath, 'data', 'foo3x5x4indexed.png')
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with open(filename, 'rb') as f:
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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im = misc.imread(f)
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assert_array_equal(im, data)
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@_pilskip
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def test_imread_1bit():
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# box1.png is a 48x48 grayscale image with bit depth 1.
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# The border pixels are 1 and the rest are 0.
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filename = os.path.join(datapath, 'data', 'box1.png')
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with open(filename, 'rb') as f:
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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im = misc.imread(f)
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assert_equal(im.dtype, np.uint8)
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expected = np.zeros((48, 48), dtype=np.uint8)
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# When scaled up from 1 bit to 8 bits, 1 becomes 255.
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expected[:, 0] = 255
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expected[:, -1] = 255
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expected[0, :] = 255
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expected[-1, :] = 255
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assert_equal(im, expected)
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@_pilskip
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def test_imread_2bit():
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# blocks2bit.png is a 12x12 grayscale image with bit depth 2.
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# The pattern is 4 square subblocks of size 6x6. Upper left
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# is all 0, upper right is all 1, lower left is all 2, lower
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# right is all 3.
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# When scaled up to 8 bits, the values become [0, 85, 170, 255].
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filename = os.path.join(datapath, 'data', 'blocks2bit.png')
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with open(filename, 'rb') as f:
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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im = misc.imread(f)
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assert_equal(im.dtype, np.uint8)
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expected = np.zeros((12, 12), dtype=np.uint8)
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expected[:6, 6:] = 85
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expected[6:, :6] = 170
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expected[6:, 6:] = 255
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assert_equal(im, expected)
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@_pilskip
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def test_imread_4bit():
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# pattern4bit.png is a 12(h) x 31(w) grayscale image with bit depth 4.
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# The value in row j and column i is maximum(j, i) % 16.
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# When scaled up to 8 bits, the values become [0, 17, 34, ..., 255].
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filename = os.path.join(datapath, 'data', 'pattern4bit.png')
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with open(filename, 'rb') as f:
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with suppress_warnings() as sup:
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sup.filter(DeprecationWarning)
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im = misc.imread(f)
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assert_equal(im.dtype, np.uint8)
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j, i = np.meshgrid(np.arange(12), np.arange(31), indexing='ij')
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expected = 17*(np.maximum(j, i) % 16).astype(np.uint8)
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assert_equal(im, expected)
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