Files
scikit-image/skimage/io/tests/test_tifffile.py
T

63 lines
1.7 KiB
Python

import os
import skimage as si
import skimage.io as sio
import numpy as np
from numpy.testing import *
from numpy.testing.decorators import skipif
from tempfile import NamedTemporaryFile
try:
import skimage.io._plugins.tifffile_plugin as tf
_plugins = sio.plugin_order()
TF_available = True
sio.use_plugin('tifffile')
except ImportError:
TF_available = False
np.random.seed(0)
def teardown():
sio.reset_plugins()
@skipif(not TF_available)
def test_imread_uint16():
expected = np.load(os.path.join(si.data_dir, 'chessboard_GRAY_U8.npy'))
img = sio.imread(os.path.join(si.data_dir, 'chessboard_GRAY_U16.tif'))
assert img.dtype == np.uint16
assert_array_almost_equal(img, expected)
@skipif(not TF_available)
def test_imread_uint16_big_endian():
expected = np.load(os.path.join(si.data_dir, 'chessboard_GRAY_U8.npy'))
img = sio.imread(os.path.join(si.data_dir, 'chessboard_GRAY_U16B.tif'))
assert img.dtype == np.uint16
assert_array_almost_equal(img, expected)
class TestSave:
def roundtrip(self, dtype, x):
f = NamedTemporaryFile(suffix='.tif')
fname = f.name
f.close()
sio.imsave(fname, x)
y = sio.imread(fname)
assert_array_equal(x, y)
@skipif(not TF_available)
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 not np.issubdtype(dtype, float):
x = (x * 255).astype(dtype)
yield self.roundtrip, dtype, x
if __name__ == "__main__":
run_module_suite()