88 lines
2.5 KiB
Python
88 lines
2.5 KiB
Python
|
import os.path
|
||
|
|
import numpy as np
|
||
|
|
import unittest
|
||
|
|
|
||
|
|
from tempfile import NamedTemporaryFile
|
||
|
|
|
||
|
|
from skimage import data
|
||
|
|
from skimage.io import imread, imsave, use_plugin, reset_plugins
|
||
|
|
from skimage._shared import testing
|
||
|
|
|
||
|
|
from pytest import importorskip
|
||
|
|
|
||
|
|
importorskip('SimpleITK')
|
||
|
|
|
||
|
|
np.random.seed(0)
|
||
|
|
|
||
|
|
def teardown():
|
||
|
|
reset_plugins()
|
||
|
|
|
||
|
|
|
||
|
|
def setup_module(self):
|
||
|
|
"""The effect of the `plugin.use` call may be overridden by later imports.
|
||
|
|
Call `use_plugin` directly before the tests to ensure that SimpleITK is
|
||
|
|
used.
|
||
|
|
|
||
|
|
"""
|
||
|
|
use_plugin('simpleitk')
|
||
|
|
|
||
|
|
|
||
|
|
def test_imread_as_gray():
|
||
|
|
img = imread(testing.fetch('data/color.png'), as_gray=True)
|
||
|
|
assert img.ndim == 2
|
||
|
|
assert img.dtype == np.float64
|
||
|
|
img = imread(testing.fetch('data/camera.png'), as_gray=True)
|
||
|
|
# check that conversion does not happen for a gray image
|
||
|
|
assert np.sctype2char(img.dtype) in np.typecodes['AllInteger']
|
||
|
|
|
||
|
|
|
||
|
|
def test_bilevel():
|
||
|
|
expected = np.zeros((10, 10))
|
||
|
|
expected[::2] = 255
|
||
|
|
|
||
|
|
img = imread(testing.fetch('data/checker_bilevel.png'))
|
||
|
|
np.testing.assert_array_equal(img, expected)
|
||
|
|
|
||
|
|
"""
|
||
|
|
#TODO: This test causes a Segmentation fault
|
||
|
|
def test_imread_truncated_jpg():
|
||
|
|
assert_raises((RuntimeError, ValueError),
|
||
|
|
imread,
|
||
|
|
testing.fetch('data/truncated.jpg'))
|
||
|
|
"""
|
||
|
|
|
||
|
|
|
||
|
|
def test_imread_uint16():
|
||
|
|
expected = np.load(testing.fetch('data/chessboard_GRAY_U8.npy'))
|
||
|
|
img = imread(testing.fetch('data/chessboard_GRAY_U16.tif'))
|
||
|
|
assert np.issubdtype(img.dtype, np.uint16)
|
||
|
|
np.testing.assert_array_almost_equal(img, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_imread_uint16_big_endian():
|
||
|
|
expected = np.load(testing.fetch('data/chessboard_GRAY_U8.npy'))
|
||
|
|
img = imread(testing.fetch('data/chessboard_GRAY_U16B.tif'))
|
||
|
|
np.testing.assert_array_almost_equal(img, expected)
|
||
|
|
|
||
|
|
|
||
|
|
class TestSave(unittest.TestCase):
|
||
|
|
def roundtrip(self, dtype, x):
|
||
|
|
f = NamedTemporaryFile(suffix='.mha')
|
||
|
|
fname = f.name
|
||
|
|
f.close()
|
||
|
|
imsave(fname, x)
|
||
|
|
y = imread(fname)
|
||
|
|
|
||
|
|
np.testing.assert_array_almost_equal(x, y)
|
||
|
|
|
||
|
|
def test_imsave_roundtrip(self):
|
||
|
|
for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
|
||
|
|
for dtype in (np.uint8, np.uint16, np.float32, np.float64):
|
||
|
|
x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
|
||
|
|
|
||
|
|
if np.issubdtype(dtype, np.floating):
|
||
|
|
yield self.roundtrip, dtype, x
|
||
|
|
else:
|
||
|
|
x = (x * 255).astype(dtype)
|
||
|
|
yield self.roundtrip, dtype, x
|