def test_line_profile_dynamic():
"""Test a line profile updating after an image transform"""
image = data.coins()[:-50, :] # shave some off to make the line lower
image = skimage.img_as_float(image)
viewer = ImageViewer(image)
lp = LineProfile(limits='dtype')
viewer += lp
line = lp.get_profiles()[-1][0]
assert line.size == 129
assert_almost_equal(np.std(viewer.image), 0.208, 3)
assert_almost_equal(np.std(line), 0.229, 3)
assert_almost_equal(np.max(line) - np.min(line), 0.725, 1)
# Matplotlib 2.2.3 seems to use np.asscalar which issues a warning
# with numpy 1.16
# Matplotlib 2.2.3 is the last supported version for Python 2.7
with expected_warnings(['precision loss', r'np.asscalar|\A\Z']):
viewer.image = skimage.img_as_float(median(image,
selem=disk(radius=3)))
line = lp.get_profiles()[-1][0]
assert_almost_equal(np.std(viewer.image), 0.198, 3)
assert_almost_equal(np.std(line), 0.220, 3)
assert_almost_equal(np.max(line) - np.min(line), 0.639, 1)
def test_viewer():
astro = data.astronaut()
coins = data.coins()
view = ImageViewer(astro)
import tempfile
_, filename = tempfile.mkstemp(suffix='.png')
view.show(False)
view.close()
view.save_to_file(filename)
view.open_file(filename)
assert_equal(view.image, astro)
view.image = coins
assert_equal(view.image, coins),
view.save_to_file(filename),
view.open_file(filename),
view.reset_image(),
assert_equal(view.image, coins)
def test_viewer():
astro = data.astronaut()
coins = data.coins()
view = ImageViewer(astro)
import tempfile
_, filename = tempfile.mkstemp(suffix='.png')
view.show(False)
view.close()
view.save_to_file(filename)
view.open_file(filename)
assert_equal(view.image, astro)
view.image = coins
assert_equal(view.image, coins),
view.save_to_file(filename),
view.open_file(filename),
view.reset_image(),
assert_equal(view.image, coins)
def test_line_profile_dynamic():
"""Test a line profile updating after an image transform"""
image = data.coins()[:-50, :] # shave some off to make the line lower
image = skimage.img_as_float(image)
viewer = ImageViewer(image)
lp = LineProfile(limits='dtype')
viewer += lp
line = lp.get_profiles()[-1][0]
assert line.size == 129
assert_almost_equal(np.std(viewer.image), 0.208, 3)
assert_almost_equal(np.std(line), 0.229, 3)
assert_almost_equal(np.max(line) - np.min(line), 0.725, 1)
viewer.image = skimage.img_as_float(median(image, selem=disk(radius=3)))
line = lp.get_profiles()[-1][0]
assert_almost_equal(np.std(viewer.image), 0.198, 3)
assert_almost_equal(np.std(line), 0.220, 3)
assert_almost_equal(np.max(line) - np.min(line), 0.639, 1)
def test_line_profile_dynamic():
"""Test a line profile updating after an image transform"""
image = data.coins()[:-50, :] # shave some off to make the line lower
image = skimage.img_as_float(image)
viewer = ImageViewer(image)
lp = LineProfile(limits='dtype')
viewer += lp
line = lp.get_profiles()[-1][0]
assert line.size == 129
assert_almost_equal(np.std(viewer.image), 0.208, 3)
assert_almost_equal(np.std(line), 0.229, 3)
assert_almost_equal(np.max(line) - np.min(line), 0.725, 1)
viewer.image = skimage.img_as_float(median(image,
selem=disk(radius=3)))
line = lp.get_profiles()[-1][0]
assert_almost_equal(np.std(viewer.image), 0.198, 3)
assert_almost_equal(np.std(line), 0.220, 3)
assert_almost_equal(np.max(line) - np.min(line), 0.639, 1)