Files
scikit-image/skimage/io/tests/test_imageio.py
T
2015-09-04 08:03:01 -05:00

79 lines
2.0 KiB
Python

import os
import os.path
import numpy as np
from numpy.testing import *
from numpy.testing.decorators import skipif
from tempfile import NamedTemporaryFile
from skimage import data_dir
from skimage.io import imread, imsave, use_plugin, reset_plugins
try:
import imageio as _imageio
except ImportError:
imageio_available = False
else:
imageio_available = True
def setup():
if imageio_available:
np.random.seed(0)
use_plugin('imageio')
def teardown():
reset_plugins()
@skipif(not imageio_available)
def test_imageio_flatten():
# a color image is flattened
img = imread(os.path.join(data_dir, 'color.png'), flatten=True)
assert img.ndim == 2
assert img.dtype == np.float64
img = imread(os.path.join(data_dir, 'camera.png'), flatten=True)
# check that flattening does not occur for an image that is grey already.
assert np.sctype2char(img.dtype) in np.typecodes['AllInteger']
@skipif(not imageio_available)
def test_imageio_palette():
img = imread(os.path.join(data_dir, 'palette_color.png'))
assert img.ndim == 3
@skipif(not imageio_available)
def test_imageio_truncated_jpg():
assert_raises((RuntimeError, ValueError),
imread,
os.path.join(data_dir, 'truncated.jpg'))
class TestSave:
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)
@skipif(not imageio_available)
def test_imsave_roundtrip(self):
dtype = np.uint8
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, float):
yield self.roundtrip, x, 255
else:
x = (x * 255).astype(dtype)
yield self.roundtrip, x
if __name__ == "__main__":
run_module_suite()