def test_save_buttons():
viewer = get_image_viewer()
sv = SaveButtons()
viewer.plugins[0] += sv
import tempfile
fid, filename = tempfile.mkstemp(suffix='.png')
os.close(fid)
timer = QtCore.QTimer()
timer.singleShot(100, QtGui.QApplication.quit)
# exercise the button clicks
sv.save_stack.click()
sv.save_file.click()
# call the save functions directly
sv.save_to_stack()
with expected_warnings(['precision loss']):
sv.save_to_file(filename)
img = data.imread(filename)
with expected_warnings(['precision loss']):
assert_almost_equal(img, img_as_uint(viewer.image))
img = io.pop()
assert_almost_equal(img, viewer.image)
os.remove(filename)
def test_save_buttons():
viewer = get_image_viewer()
sv = SaveButtons()
viewer.plugins[0] += sv
import tempfile
_, filename = tempfile.mkstemp(suffix='.png')
os.remove(filename)
timer = QtCore.QTimer()
timer.singleShot(100, lambda: QtGui.QApplication.quit())
sv.save_to_stack()
sv.save_to_file(filename)
img = img_as_float(data.imread(filename))
assert_almost_equal(img, viewer.image)
img = io.pop()
assert_almost_equal(img, viewer.image)
def test_save_buttons():
viewer = get_image_viewer()
sv = SaveButtons()
viewer.plugins[0] += sv
import tempfile
fid, filename = tempfile.mkstemp(suffix='.png')
os.close(fid)
timer = QtCore.QTimer()
timer.singleShot(100, QtWidgets.QApplication.quit)
# exercise the button clicks
sv.save_stack.click()
sv.save_file.click()
# call the save functions directly
sv.save_to_stack()
with expected_warnings(['precision loss']):
sv.save_to_file(filename)
img = data.imread(filename)
with expected_warnings(['precision loss']):
assert_almost_equal(img, img_as_uint(viewer.image))
img = io.pop()
assert_almost_equal(img, viewer.image)
os.remove(filename)
def test_save_buttons():
viewer = get_image_viewer()
sv = SaveButtons()
viewer.plugins[0] += sv
import tempfile
_, filename = tempfile.mkstemp(suffix='.png')
os.remove(filename)
timer = QtCore.QTimer()
timer.singleShot(100, lambda: QtGui.QApplication.quit())
sv.save_to_stack()
sv.save_to_file(filename)
img = img_as_float(data.imread(filename))
assert_almost_equal(img, viewer.image)
img = io.pop()
assert_almost_equal(img, viewer.image)
from skimage import data
from skimage.restoration import denoise_tv_chambolle
from skimage.util import img_as_float
from numpy import random, clip
from skimage.viewer import ImageViewer
from skimage.viewer.widgets import (Slider, CheckBox, OKCancelButtons,
SaveButtons)
from skimage.viewer.plugins.base import Plugin
image = img_as_float(data.chelsea())
sigma = 30 / 255.
image = image + random.normal(loc=0, scale=sigma, size=image.shape)
image = clip(image, 0, 1)
viewer = ImageViewer(image)
plugin = Plugin(image_filter=denoise_tv_chambolle)
plugin += Slider('weight', 0.01, 5, value=0.3, value_type='float')
plugin += Slider('n_iter_max', 1, 100, value=20, value_type='int')
plugin += CheckBox('multichannel', value=True)
plugin += SaveButtons()
plugin += OKCancelButtons()
viewer += plugin
viewer.show()
def __init__(self, maxdist=10, **kwargs):
super(Crop, self).__init__(**kwargs)
self.maxdist = maxdist
self.add_widget(SaveButtons())
print(self.help())
