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_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)
def setup_line_profile(image, limits='image'):
viewer = ImageViewer(skimage.img_as_float(image))
plugin = LineProfile(limits=limits)
viewer += plugin
return plugin
