def test_text_widget():
interactive = False
renderer = window.Renderer()
axes = actor.axes()
window.add(renderer, axes)
renderer.ResetCamera()
show_manager = window.ShowManager(renderer, size=(900, 900))
if interactive:
show_manager.initialize()
show_manager.render()
fetch_viz_icons()
button_png = read_viz_icons(fname='home3.png')
def button_callback(obj, event):
print('Button Pressed')
button = widget.button(show_manager.iren, show_manager.ren,
button_callback, button_png, (.8, 1.2), (100, 100))
global rulez
rulez = True
def text_callback(obj, event):
global rulez
print('Text selected')
if rulez:
obj.GetTextActor().SetInput("Diffusion Imaging Rulez!!")
rulez = False
else:
obj.GetTextActor().SetInput("Diffusion Imaging in Python")
rulez = True
show_manager.render()
text = widget.text(show_manager.iren,
show_manager.ren,
text_callback,
message="Diffusion Imaging in Python",
left_down_pos=(0., 0.),
right_top_pos=(0.4, 0.05),
opacity=1.,
border=False)
if not interactive:
button.Off()
text.Off()
pass
if interactive:
show_manager.render()
show_manager.start()
arr = window.snapshot(renderer, size=(900, 900))
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 3)
def test_renderer():
ren = window.Renderer()
# background color for renderer (1, 0.5, 0)
# 0.001 added here to remove numerical errors when moving from float
# to int values
bg_float = (1, 0.501, 0)
# that will come in the image in the 0-255 uint scale
bg_color = tuple((np.round(255 * np.array(bg_float))).astype('uint8'))
ren.background(bg_float)
# window.show(ren)
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr,
bg_color=bg_color,
colors=[bg_color, (0, 127, 0)])
npt.assert_equal(report.objects, 0)
npt.assert_equal(report.colors_found, [True, False])
axes = actor.axes()
ren.add(axes)
# window.show(ren)
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 1)
ren.rm(axes)
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 0)
window.add(ren, axes)
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 1)
ren.rm_all()
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 0)
ren2 = window.renderer(bg_float)
ren2.background((0, 0, 0.))
report = window.analyze_renderer(ren2)
npt.assert_equal(report.bg_color, (0, 0, 0))
ren2.add(axes)
report = window.analyze_renderer(ren2)
npt.assert_equal(report.actors, 3)
window.rm(ren2, axes)
report = window.analyze_renderer(ren2)
npt.assert_equal(report.actors, 0)
def test_renderer():
ren = window.Renderer()
# background color for renderer (1, 0.5, 0)
# 0.001 added here to remove numerical errors when moving from float
# to int values
bg_float = (1, 0.501, 0)
# that will come in the image in the 0-255 uint scale
bg_color = tuple((np.round(255 * np.array(bg_float))).astype('uint8'))
ren.background(bg_float)
# window.show(ren)
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr,
bg_color=bg_color,
colors=[bg_color, (0, 127, 0)])
npt.assert_equal(report.objects, 0)
npt.assert_equal(report.colors_found, [True, False])
axes = actor.axes()
ren.add(axes)
# window.show(ren)
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 1)
ren.rm(axes)
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 0)
window.add(ren, axes)
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 1)
ren.rm_all()
arr = window.snapshot(ren)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 0)
ren2 = window.renderer(bg_float)
ren2.background((0, 0, 0.))
report = window.analyze_renderer(ren2)
npt.assert_equal(report.bg_color, (0, 0, 0))
ren2.add(axes)
report = window.analyze_renderer(ren2)
npt.assert_equal(report.actors, 3)
window.rm(ren2, axes)
report = window.analyze_renderer(ren2)
npt.assert_equal(report.actors, 0)
def test_streamtube_and_line_actors():
renderer = window.renderer()
line1 = np.array([[0, 0, 0], [1, 1, 1], [2, 2, 2.]])
line2 = line1 + np.array([0.5, 0., 0.])
lines = [line1, line2]
colors = np.array([[1, 0, 0], [0, 0, 1.]])
c = actor.line(lines, colors, linewidth=3)
window.add(renderer, c)
c = actor.line(lines, colors, spline_subdiv=5, linewidth=3)
window.add(renderer, c)
# create streamtubes of the same lines and shift them a bit
c2 = actor.streamtube(lines, colors, linewidth=.1)
c2.SetPosition(2, 0, 0)
window.add(renderer, c2)
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr,
colors=[(255, 0, 0), (0, 0, 255)],
find_objects=True)
npt.assert_equal(report.objects, 4)
npt.assert_equal(report.colors_found, [True, True])
# as before with splines
c2 = actor.streamtube(lines, colors, spline_subdiv=5, linewidth=.1)
c2.SetPosition(2, 0, 0)
window.add(renderer, c2)
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr,
colors=[(255, 0, 0), (0, 0, 255)],
find_objects=True)
npt.assert_equal(report.objects, 4)
npt.assert_equal(report.colors_found, [True, True])
def test_streamtube_and_line_actors():
renderer = window.renderer()
line1 = np.array([[0, 0, 0], [1, 1, 1], [2, 2, 2.]])
line2 = line1 + np.array([0.5, 0., 0.])
lines = [line1, line2]
colors = np.array([[1, 0, 0], [0, 0, 1.]])
c = actor.line(lines, colors, linewidth=3)
window.add(renderer, c)
c = actor.line(lines, colors, spline_subdiv=5, linewidth=3)
window.add(renderer, c)
# create streamtubes of the same lines and shift them a bit
c2 = actor.streamtube(lines, colors, linewidth=.1)
c2.SetPosition(2, 0, 0)
window.add(renderer, c2)
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr,
colors=[(255, 0, 0), (0, 0, 255)],
find_objects=True)
npt.assert_equal(report.objects, 4)
npt.assert_equal(report.colors_found, [True, True])
# as before with splines
c2 = actor.streamtube(lines, colors, spline_subdiv=5, linewidth=.1)
c2.SetPosition(2, 0, 0)
window.add(renderer, c2)
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr,
colors=[(255, 0, 0), (0, 0, 255)],
find_objects=True)
npt.assert_equal(report.objects, 4)
npt.assert_equal(report.colors_found, [True, True])
def test_slicer():
renderer = window.renderer()
data = (255 * np.random.rand(50, 50, 50))
affine = np.eye(4)
slicer = actor.slicer(data, affine)
slicer.display(None, None, 25)
window.add(renderer, slicer)
renderer.reset_camera()
renderer.reset_clipping_range()
# window.show(renderer)
# copy pixels in numpy array directly
arr = window.snapshot(renderer, 'test_slicer.png')
import scipy
print(scipy.__version__)
print(scipy.__file__)
print(arr.sum())
print(np.sum(arr == 0))
print(np.sum(arr > 0))
print(arr.shape)
print(arr.dtype)
report = window.analyze_snapshot(arr, find_objects=True)
print(report)
npt.assert_equal(report.objects, 1)
# print(arr[..., 0])
# The slicer can cut directly a smaller part of the image
slicer.display_extent(10, 30, 10, 30, 35, 35)
renderer.ResetCamera()
window.add(renderer, slicer)
# save pixels in png file not a numpy array
with TemporaryDirectory() as tmpdir:
fname = os.path.join(tmpdir, 'slice.png')
# window.show(renderer)
arr = window.snapshot(renderer, fname)
report = window.analyze_snapshot(fname, find_objects=True)
npt.assert_equal(report.objects, 1)
npt.assert_raises(ValueError, actor.slicer, np.ones(10))
renderer.clear()
rgb = np.zeros((30, 30, 30, 3))
rgb[..., 0] = 1.
rgb_actor = actor.slicer(rgb)
renderer.add(rgb_actor)
renderer.reset_camera()
renderer.reset_clipping_range()
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr, colors=[(255, 0, 0)])
npt.assert_equal(report.objects, 1)
npt.assert_equal(report.colors_found, [True])
lut = actor.colormap_lookup_table(scale_range=(0, 255),
hue_range=(0.4, 1.),
saturation_range=(1, 1.),
value_range=(0., 1.))
renderer.clear()
slicer_lut = actor.slicer(data, lookup_colormap=lut)
slicer_lut.display(10, None, None)
slicer_lut.display(None, 10, None)
slicer_lut.display(None, None, 10)
slicer_lut2 = slicer_lut.copy()
slicer_lut2.display(None, None, 10)
renderer.add(slicer_lut2)
renderer.reset_clipping_range()
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 1)
def test_bundle_maps():
renderer = window.renderer()
bundle = fornix_streamlines()
bundle, shift = center_streamlines(bundle)
mat = np.array([[1, 0, 0, 100],
[0, 1, 0, 100],
[0, 0, 1, 100],
[0, 0, 0, 1.]])
bundle = transform_streamlines(bundle, mat)
# metric = np.random.rand(*(200, 200, 200))
metric = 100 * np.ones((200, 200, 200))
# add lower values
metric[100, :, :] = 100 * 0.5
# create a nice orange-red colormap
lut = actor.colormap_lookup_table(scale_range=(0., 100.),
hue_range=(0., 0.1),
saturation_range=(1, 1),
value_range=(1., 1))
line = actor.line(bundle, metric, linewidth=0.1, lookup_colormap=lut)
window.add(renderer, line)
window.add(renderer, actor.scalar_bar(lut, ' '))
report = window.analyze_renderer(renderer)
npt.assert_almost_equal(report.actors, 1)
# window.show(renderer)
renderer.clear()
nb_points = np.sum([len(b) for b in bundle])
values = 100 * np.random.rand(nb_points)
# values[:nb_points/2] = 0
line = actor.streamtube(bundle, values, linewidth=0.1, lookup_colormap=lut)
renderer.add(line)
# window.show(renderer)
report = window.analyze_renderer(renderer)
npt.assert_equal(report.actors_classnames[0], 'vtkLODActor')
renderer.clear()
colors = np.random.rand(nb_points, 3)
# values[:nb_points/2] = 0
line = actor.line(bundle, colors, linewidth=2)
renderer.add(line)
# window.show(renderer)
report = window.analyze_renderer(renderer)
npt.assert_equal(report.actors_classnames[0], 'vtkLODActor')
# window.show(renderer)
arr = window.snapshot(renderer)
report2 = window.analyze_snapshot(arr)
npt.assert_equal(report2.objects, 1)
# try other input options for colors
renderer.clear()
actor.line(bundle, (1., 0.5, 0))
actor.line(bundle, np.arange(len(bundle)))
actor.line(bundle)
colors = [np.random.rand(*b.shape) for b in bundle]
actor.line(bundle, colors=colors)
def test_text_widget():
interactive = False
renderer = window.Renderer()
axes = fvtk.axes()
window.add(renderer, axes)
renderer.ResetCamera()
show_manager = window.ShowManager(renderer, size=(900, 900))
if interactive:
show_manager.initialize()
show_manager.render()
fetch_viz_icons()
button_png = read_viz_icons(fname='home3.png')
def button_callback(obj, event):
print('Button Pressed')
button = widget.button(show_manager.iren,
show_manager.ren,
button_callback,
button_png, (.8, 1.2), (100, 100))
global rulez
rulez = True
def text_callback(obj, event):
global rulez
print('Text selected')
if rulez:
obj.GetTextActor().SetInput("Diffusion Imaging Rulez!!")
rulez = False
else:
obj.GetTextActor().SetInput("Diffusion Imaging in Python")
rulez = True
show_manager.render()
text = widget.text(show_manager.iren,
show_manager.ren,
text_callback,
message="Diffusion Imaging in Python",
left_down_pos=(0., 0.),
right_top_pos=(0.4, 0.05),
opacity=1.,
border=False)
if not interactive:
button.Off()
text.Off()
pass
if interactive:
show_manager.render()
show_manager.start()
arr = window.snapshot(renderer, size=(900, 900))
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 3)
def test_slicer():
renderer = window.renderer()
data = (255 * np.random.rand(50, 50, 50))
affine = np.eye(4)
slicer = actor.slicer(data, affine)
slicer.display(None, None, 25)
window.add(renderer, slicer)
renderer.reset_camera()
renderer.reset_clipping_range()
# window.show(renderer)
# copy pixels in numpy array directly
arr = window.snapshot(renderer, 'test_slicer.png')
import scipy
print(scipy.__version__)
print(scipy.__file__)
print(arr.sum())
print(np.sum(arr == 0))
print(np.sum(arr > 0))
print(arr.shape)
print(arr.dtype)
report = window.analyze_snapshot(arr, find_objects=True)
print(report)
npt.assert_equal(report.objects, 1)
# print(arr[..., 0])
# The slicer can cut directly a smaller part of the image
slicer.display_extent(10, 30, 10, 30, 35, 35)
renderer.ResetCamera()
window.add(renderer, slicer)
# save pixels in png file not a numpy array
with TemporaryDirectory() as tmpdir:
fname = os.path.join(tmpdir, 'slice.png')
# window.show(renderer)
arr = window.snapshot(renderer, fname)
report = window.analyze_snapshot(fname, find_objects=True)
npt.assert_equal(report.objects, 1)
npt.assert_raises(ValueError, actor.slicer, np.ones(10))
renderer.clear()
rgb = np.zeros((30, 30, 30, 3))
rgb[..., 0] = 1.
rgb_actor = actor.slicer(rgb)
renderer.add(rgb_actor)
renderer.reset_camera()
renderer.reset_clipping_range()
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr, colors=[(255, 0, 0)])
npt.assert_equal(report.objects, 1)
npt.assert_equal(report.colors_found, [True])
lut = actor.colormap_lookup_table(scale_range=(0, 255),
hue_range=(0.4, 1.),
saturation_range=(1, 1.),
value_range=(0., 1.))
renderer.clear()
slicer_lut = actor.slicer(data, lookup_colormap=lut)
slicer_lut.display(10, None, None)
slicer_lut.display(None, 10, None)
slicer_lut.display(None, None, 10)
slicer_lut2 = slicer_lut.copy()
slicer_lut2.display(None, None, 10)
renderer.add(slicer_lut2)
renderer.reset_clipping_range()
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 1)
def test_bundle_maps():
renderer = window.renderer()
bundle = fornix_streamlines()
bundle, shift = center_streamlines(bundle)
mat = np.array([[1, 0, 0, 100], [0, 1, 0, 100], [0, 0, 1, 100],
[0, 0, 0, 1.]])
bundle = transform_streamlines(bundle, mat)
# metric = np.random.rand(*(200, 200, 200))
metric = 100 * np.ones((200, 200, 200))
# add lower values
metric[100, :, :] = 100 * 0.5
# create a nice orange-red colormap
lut = actor.colormap_lookup_table(scale_range=(0., 100.),
hue_range=(0., 0.1),
saturation_range=(1, 1),
value_range=(1., 1))
line = actor.line(bundle, metric, linewidth=0.1, lookup_colormap=lut)
window.add(renderer, line)
window.add(renderer, actor.scalar_bar(lut, ' '))
report = window.analyze_renderer(renderer)
npt.assert_almost_equal(report.actors, 1)
# window.show(renderer)
renderer.clear()
nb_points = np.sum([len(b) for b in bundle])
values = 100 * np.random.rand(nb_points)
# values[:nb_points/2] = 0
line = actor.streamtube(bundle, values, linewidth=0.1, lookup_colormap=lut)
renderer.add(line)
# window.show(renderer)
report = window.analyze_renderer(renderer)
npt.assert_equal(report.actors_classnames[0], 'vtkLODActor')
renderer.clear()
colors = np.random.rand(nb_points, 3)
# values[:nb_points/2] = 0
line = actor.line(bundle, colors, linewidth=2)
renderer.add(line)
# window.show(renderer)
report = window.analyze_renderer(renderer)
npt.assert_equal(report.actors_classnames[0], 'vtkLODActor')
# window.show(renderer)
arr = window.snapshot(renderer)
report2 = window.analyze_snapshot(arr)
npt.assert_equal(report2.objects, 1)
# try other input options for colors
renderer.clear()
actor.line(bundle, (1., 0.5, 0))
actor.line(bundle, np.arange(len(bundle)))
actor.line(bundle)
colors = [np.random.rand(*b.shape) for b in bundle]
actor.line(bundle, colors=colors)
