80 lines
2.1 KiB
Python
80 lines
2.1 KiB
Python
|
from tempfile import NamedTemporaryFile
|
||
|
|
|
||
|
|
import pytest
|
||
|
|
import numpy as np
|
||
|
|
from skimage.io import imread, imsave, use_plugin, reset_plugins
|
||
|
|
|
||
|
|
from skimage._shared import testing
|
||
|
|
from skimage._shared.testing import assert_array_almost_equal, TestCase, fetch
|
||
|
|
from skimage._shared._warnings import expected_warnings
|
||
|
|
|
||
|
|
|
||
|
|
def setup():
|
||
|
|
use_plugin('imageio')
|
||
|
|
|
||
|
|
|
||
|
|
def teardown():
|
||
|
|
reset_plugins()
|
||
|
|
|
||
|
|
|
||
|
|
def test_imageio_as_gray():
|
||
|
|
|
||
|
|
img = imread(fetch('data/color.png'), as_gray=True)
|
||
|
|
assert img.ndim == 2
|
||
|
|
assert img.dtype == np.float64
|
||
|
|
img = imread(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_imageio_palette():
|
||
|
|
img = imread(fetch('data/palette_color.png'))
|
||
|
|
assert img.ndim == 3
|
||
|
|
|
||
|
|
|
||
|
|
def test_imageio_truncated_jpg():
|
||
|
|
# imageio>2.0 uses Pillow / PIL to try and load the file.
|
||
|
|
# Oddly, PIL explicitly raises a SyntaxError when the file read fails.
|
||
|
|
with testing.raises(SyntaxError):
|
||
|
|
imread(fetch('data/truncated.jpg'))
|
||
|
|
|
||
|
|
|
||
|
|
class TestSave(TestCase):
|
||
|
|
|
||
|
|
def roundtrip(self, x, scaling=1):
|
||
|
|
f = NamedTemporaryFile(suffix='.png')
|
||
|
|
fname = f.name
|
||
|
|
f.close()
|
||
|
|
imsave(fname, x)
|
||
|
|
y = imread(fname)
|
||
|
|
|
||
|
|
assert_array_almost_equal((x * scaling).astype(np.int32), y)
|
||
|
|
|
||
|
|
def test_imsave_roundtrip(self):
|
||
|
|
dtype = np.uint8
|
||
|
|
np.random.seed(0)
|
||
|
|
for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
|
||
|
|
x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
|
||
|
|
|
||
|
|
if np.issubdtype(dtype, np.floating):
|
||
|
|
yield self.roundtrip, x, 255
|
||
|
|
else:
|
||
|
|
x = (x * 255).astype(dtype)
|
||
|
|
yield self.roundtrip, x
|
||
|
|
|
||
|
|
def test_bool_array_save(self):
|
||
|
|
f = NamedTemporaryFile(suffix='.png')
|
||
|
|
fname = f.name
|
||
|
|
f.close()
|
||
|
|
with expected_warnings(['.* is a boolean image']):
|
||
|
|
a = np.zeros((5, 5), bool)
|
||
|
|
a[2, 2] = True
|
||
|
|
imsave(fname, a)
|
||
|
|
|
||
|
|
|
||
|
|
def test_return_class():
|
||
|
|
testing.assert_equal(
|
||
|
|
type(imread(fetch('data/color.png'))),
|
||
|
|
np.ndarray
|
||
|
|
)
|