Files
scikit-image/skimage/io/tests/test_tifffile.py
T
2015-05-12 21:10:23 -05:00

64 lines
1.7 KiB
Python

import os
from ... import data_dir
from .. import imread, imsave, use_plugin, reset_plugins
import numpy as np
from numpy.testing import (
assert_array_equal, assert_array_almost_equal, run_module_suite)
from tempfile import NamedTemporaryFile
def setup():
use_plugin('tifffile')
np.random.seed(0)
def teardown():
reset_plugins()
def test_imread_uint16():
expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
img = imread(os.path.join(data_dir, 'chessboard_GRAY_U16.tif'))
assert img.dtype == np.uint16
assert_array_almost_equal(img, expected)
def test_imread_uint16_big_endian():
expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
img = imread(os.path.join(data_dir, 'chessboard_GRAY_U16B.tif'))
assert img.dtype == np.uint16
assert_array_almost_equal(img, expected)
def test_imread_multipage_rgb_tif():
img = imread(os.path.join(data_dir, 'multipage_rgb.tif'))
assert img.shape == (2, 10, 10, 3), img.shape
class TestSave:
def roundtrip(self, dtype, x):
f = NamedTemporaryFile(suffix='.tif')
fname = f.name
f.close()
imsave(fname, x)
y = imread(fname)
assert_array_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.int16,
np.float64):
x = np.random.rand(*shape)
if not np.issubdtype(dtype, float):
x = (x * np.iinfo(dtype).max).astype(dtype)
else:
x = x.astype(dtype)
yield self.roundtrip, dtype, x
if __name__ == "__main__":
run_module_suite()