ENH: Add tifffile tests and improve freeimage tests

This commit is contained in:
Zach Pincus
2012-02-21 18:14:59 -05:00
parent a6b154f5b5
commit e2d4261c6d
2 changed files with 95 additions and 3 deletions
+41 -3
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@@ -6,18 +6,56 @@ from numpy.testing import *
from numpy.testing.decorators import skipif
try:
import skimage.io._plugins.freeimage_plugin as fi
import skimage.io._plugins.freeimage as fi
FI_available = True
sio.use_plugin('freeimage')
except OSError:
FI_available = False
@skipif(not FI_available)
def test_read():
sio.use_plugin('freeimage', 'imread')
def test_imread():
img = sio.imread(os.path.join(si.data_dir, 'color.png'))
assert img.shape == (370, 371, 3)
assert all(img[274,135] == [0, 130, 253])
@skipif(not FI_available)
def test_imread_uint16():
expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
img = sio.imread(os.path.join(data_dir, 'chessboard_GRAY_U16.tif'))
assert img.dtype == np.uint16
assert_array_almost_equal(img, expected)
@skipif(not FI_available)
def test_imread_uint16_big_endian():
expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
img = sio.imread(os.path.join(data_dir, 'chessboard_GRAY_U16B.tif'))
assert img.dtype == np.dtype('>u2')
assert_array_almost_equal(img, expected)
class TestSave:
def roundtrip(self, dtype, x, scaling=1):
f = NamedTemporaryFile(suffix='.tif')
fname = f.name
f.close()
sio.imsave(fname, x)
y = sio.imread(fname)
assert_array_almost_equal((x * scaling).astype(np.int32), y)
@skipif(not FI_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.random(shape)
if np.issubdtype(dtype, float):
yield self.roundtrip, dtype, x, 255
else:
x = (x * 255).astype(dtype)
yield self.roundtrip, dtype, x
@skipif(not FI_available)
def test_metadata():
meta = fi.read_metadata(os.path.join(si.data_dir, 'multipage.tif'))
+54
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@@ -0,0 +1,54 @@
import os
import skimage as si
import skimage.io as sio
from numpy.testing import *
from numpy.testing.decorators import skipif
try:
import skimage.io._plugins.tifffile as tf
TF_available = True
sio.use_plugin('tifffile')
except OSError:
TF_available = False
@skipif(not TF_available)
def test_imread_uint16():
expected = np.load(os.path.join(data_dir, 'chessboard_GRAY_U8.npy'))
img = sio.imread(os.path.join(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(data_dir, 'chessboard_GRAY_U8.npy'))
img = sio.imread(os.path.join(data_dir, 'chessboard_GRAY_U16B.tif'))
assert img.dtype == np.dtype('>u2')
assert_array_almost_equal(img, expected)
class TestSave:
def roundtrip(self, dtype, x, scaling=1):
f = NamedTemporaryFile(suffix='.tif')
fname = f.name
f.close()
sio.imsave(fname, x)
y = sio.imread(fname)
assert_array_almost_equal((x * scaling).astype(np.int32), 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.random(shape)
if np.issubdtype(dtype, float):
yield self.roundtrip, dtype, x, 255
else:
x = (x * 255).astype(dtype)
yield self.roundtrip, dtype, x
if __name__ == "__main__":
run_module_suite()