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()
report = window.analyze_renderer(renderer)
npt.assert_equal(report.actors, 3)
def test_ui_image_container_2d(interactive=False):
image_test = ui.ImageContainer2D(img_path=read_viz_icons(
fname='home3.png'))
image_test.center = (300, 300)
npt.assert_equal(image_test.size, (100, 100))
image_test.scale((2, 2))
npt.assert_equal(image_test.size, (200, 200))
current_size = (600, 600)
show_manager = window.ShowManager(size=current_size, title="FURY Button")
show_manager.scene.add(image_test)
if interactive:
show_manager.start()
def main():
# reads the tractography data in trk format
# extracts streamlines and the file header. Streamlines should be in the same coordinate system as the FA map (used later).
# input example: '/home/Example_data/tracts.trk'
tractography_file = input(
"Please, specify the file with tracts that you would like to analyse. File should be in the trk format. "
)
streams, hdr = load_trk(tractography_file) # for old DIPY version
# sft = load_trk(tractography_file, tractography_file)
# streams = sft.streamlines
streams_array = np.asarray(streams)
print('imported tractography data:' + tractography_file)
# load T1fs_conform image that operates in the same coordinates as simnibs except for the fact the center of mesh
# is located at the image center
# T1fs_conform image should be generated in advance during the head meshing procedure
# input example: fname_T1='/home/Example_data/T1fs_conform.nii.gz'
fname_T1 = input(
"Please, specify the T1fs_conform image that has been generated during head meshing procedure. "
)
data_T1, affine_T1 = load_nifti(fname_T1)
# load FA image in the same coordinates as tracts
# input example:fname_FA='/home/Example_data/DTI_FA.nii'
fname_FA = input("Please, specify the FA image. ")
data_FA, affine_FA = load_nifti(fname_FA)
print('loaded T1fs_conform.nii and FA images')
# specify the head mesh file that is used later in simnibs to simulate induced electric field
# input example:'/home/Example_data/SUBJECT_MESH.msh'
global mesh_path
mesh_path = input("Please, specify the head mesh file. ")
last_slach = max([i for i, ltr in enumerate(mesh_path) if ltr == '/']) + 1
global subject_name
subject_name = mesh_path[last_slach:-4]
# specify the directory where you would like to save your simulation results
# input example:'/home/Example_data/Output'
global out_dir
out_dir = input(
"Please, specify the directory where you would like to save your simulation results. "
)
out_dir = out_dir + '/simulation_at_pos_'
# Co-registration of T1fs_conform and FA images. Performed in 4 steps.
# Step 1. Calculation of the center of mass transform. Used later as starting transform.
c_of_mass = transform_centers_of_mass(data_T1, affine_T1, data_FA,
affine_FA)
print('calculated c_of_mass transformation')
# Step 2. Calculation of a 3D translation transform. Used in the next step as starting transform.
nbins = 32
sampling_prop = None
metric = MutualInformationMetric(nbins, sampling_prop)
level_iters = [10000, 1000, 100]
sigmas = [3.0, 1.0, 0.0]
factors = [4, 2, 1]
affreg = AffineRegistration(metric=metric,
level_iters=level_iters,
sigmas=sigmas,
factors=factors)
transform = TranslationTransform3D()
params0 = None
starting_affine = c_of_mass.affine
translation = affreg.optimize(data_T1,
data_FA,
transform,
params0,
affine_T1,
affine_FA,
starting_affine=starting_affine)
print('calculated 3D translation transform')
# Step 3. Calculation of a Rigid 3D transform. Used in the next step as starting transform
transform = RigidTransform3D()
params0 = None
starting_affine = translation.affine
rigid = affreg.optimize(data_T1,
data_FA,
transform,
params0,
affine_T1,
affine_FA,
starting_affine=starting_affine)
print('calculated Rigid 3D transform')
# Step 4. Calculation of an affine transform. Used for co-registration of T1 and FA images.
transform = AffineTransform3D()
params0 = None
starting_affine = rigid.affine
affine = affreg.optimize(data_T1,
data_FA,
transform,
params0,
affine_T1,
affine_FA,
starting_affine=starting_affine)
print('calculated Affine 3D transform')
identity = np.eye(4)
inv_affine_FA = np.linalg.inv(affine_FA)
inv_affine_T1 = np.linalg.inv(affine_T1)
inv_affine = np.linalg.inv(affine.affine)
# transforming streamlines to FA space
new_streams_FA = streamline.transform_streamlines(streams, inv_affine_FA)
new_streams_FA_array = np.asarray(new_streams_FA)
T1_to_FA = np.dot(inv_affine_FA, np.dot(affine.affine, affine_T1))
FA_to_T1 = np.linalg.inv(T1_to_FA)
# transforming streamlines from FA to T1 space
new_streams_T1 = streamline.transform_streamlines(new_streams_FA, FA_to_T1)
global new_streams_T1_array
new_streams_T1_array = np.asarray(new_streams_T1)
# calculating amline derivatives along the streamlines to get the local orientation of the streamlines
global streams_array_derivative
streams_array_derivative = copy.deepcopy(new_streams_T1_array)
print('calculating amline derivatives')
for stream in range(len(new_streams_T1_array)):
my_steam = new_streams_T1_array[stream]
for t in range(len(my_steam[:, 0])):
streams_array_derivative[stream][t,
0] = my_deriv(t, my_steam[:, 0])
streams_array_derivative[stream][t,
1] = my_deriv(t, my_steam[:, 1])
streams_array_derivative[stream][t,
2] = my_deriv(t, my_steam[:, 2])
deriv_norm = np.linalg.norm(streams_array_derivative[stream][t, :])
streams_array_derivative[stream][
t, :] = streams_array_derivative[stream][t, :] / deriv_norm
# to create a torus representing a coil in an interactive window
torus = vtk.vtkParametricTorus()
torus.SetRingRadius(5)
torus.SetCrossSectionRadius(2)
torusSource = vtk.vtkParametricFunctionSource()
torusSource.SetParametricFunction(torus)
torusSource.SetScalarModeToPhase()
torusMapper = vtk.vtkPolyDataMapper()
torusMapper.SetInputConnection(torusSource.GetOutputPort())
torusMapper.SetScalarRange(0, 360)
torusActor = vtk.vtkActor()
torusActor.SetMapper(torusMapper)
torus_pos_x = 100
torus_pos_y = 129
torus_pos_z = 211
torusActor.SetPosition(torus_pos_x, torus_pos_y, torus_pos_z)
list_streams_T1 = list(new_streams_T1)
# adding one fictive bundle of length 1 with coordinates [0,0,0] to avoid some bugs with actor.line during visualization
list_streams_T1.append(np.array([0, 0, 0]))
global bundle_native
bundle_native = list_streams_T1
# generating a list of colors to visualize later the stimualtion effects
effect_max = 0.100
effect_min = -0.100
global colors
colors = [
np.random.rand(*current_streamline.shape)
for current_streamline in bundle_native
]
for my_streamline in range(len(bundle_native) - 1):
my_stream = copy.deepcopy(bundle_native[my_streamline])
for point in range(len(my_stream)):
colors[my_streamline][point] = vtkplotter.colors.colorMap(
(effect_min + effect_max) / 2,
name='jet',
vmin=effect_min,
vmax=effect_max)
colors[my_streamline + 1] = vtkplotter.colors.colorMap(effect_min,
name='jet',
vmin=effect_min,
vmax=effect_max)
# Vizualization of fibers over T1
# i_coord = 0
# j_coord = 0
# k_coord = 0
# global number_of_stimulations
number_of_stimulations = 0
actor_line_list = []
scene = window.Scene()
scene.clear()
scene.background((0.5, 0.5, 0.5))
world_coords = False
shape = data_T1.shape
lut = actor.colormap_lookup_table(scale_range=(effect_min, effect_max),
hue_range=(0.4, 1.),
saturation_range=(1, 1.))
# # the lines below is for a non-interactive demonstration run only.
# # they should remain commented unless you set "interactive" to False
# lut, colors = change_TMS_effects(torus_pos_x, torus_pos_y, torus_pos_z)
# bar = actor.scalar_bar(lut)
# bar.SetTitle("TMS effect")
# bar.SetHeight(0.3)
# bar.SetWidth(0.10)
# bar.SetPosition(0.85, 0.3)
# scene.add(bar)
actor_line_list.append(
actor.line(bundle_native,
colors,
linewidth=5,
fake_tube=True,
lookup_colormap=lut))
if not world_coords:
image_actor_z = actor.slicer(data_T1, identity)
else:
image_actor_z = actor.slicer(data_T1, identity)
slicer_opacity = 0.6
image_actor_z.opacity(slicer_opacity)
image_actor_x = image_actor_z.copy()
x_midpoint = int(np.round(shape[0] / 2))
image_actor_x.display_extent(x_midpoint, x_midpoint, 0, shape[1] - 1, 0,
shape[2] - 1)
image_actor_y = image_actor_z.copy()
y_midpoint = int(np.round(shape[1] / 2))
image_actor_y.display_extent(0, shape[0] - 1, y_midpoint, y_midpoint, 0,
shape[2] - 1)
"""
Connect the actors with the scene.
"""
scene.add(actor_line_list[0])
scene.add(image_actor_z)
scene.add(image_actor_x)
scene.add(image_actor_y)
show_m = window.ShowManager(scene, size=(1200, 900))
show_m.initialize()
"""
Create sliders to move the slices and change their opacity.
"""
line_slider_z = ui.LineSlider2D(min_value=0,
max_value=shape[2] - 1,
initial_value=shape[2] / 2,
text_template="{value:.0f}",
length=140)
line_slider_x = ui.LineSlider2D(min_value=0,
max_value=shape[0] - 1,
initial_value=shape[0] / 2,
text_template="{value:.0f}",
length=140)
line_slider_y = ui.LineSlider2D(min_value=0,
max_value=shape[1] - 1,
initial_value=shape[1] / 2,
text_template="{value:.0f}",
length=140)
opacity_slider = ui.LineSlider2D(min_value=0.0,
max_value=1.0,
initial_value=slicer_opacity,
length=140)
"""
Сallbacks for the sliders.
"""
def change_slice_z(slider):
z = int(np.round(slider.value))
image_actor_z.display_extent(0, shape[0] - 1, 0, shape[1] - 1, z, z)
def change_slice_x(slider):
x = int(np.round(slider.value))
image_actor_x.display_extent(x, x, 0, shape[1] - 1, 0, shape[2] - 1)
def change_slice_y(slider):
y = int(np.round(slider.value))
image_actor_y.display_extent(0, shape[0] - 1, y, y, 0, shape[2] - 1)
def change_opacity(slider):
slicer_opacity = slider.value
image_actor_z.opacity(slicer_opacity)
image_actor_x.opacity(slicer_opacity)
image_actor_y.opacity(slicer_opacity)
line_slider_z.on_change = change_slice_z
line_slider_x.on_change = change_slice_x
line_slider_y.on_change = change_slice_y
opacity_slider.on_change = change_opacity
"""
Сreate text labels to identify the sliders.
"""
def build_label(text):
label = ui.TextBlock2D()
label.message = text
label.font_size = 18
label.font_family = 'Arial'
label.justification = 'left'
label.bold = False
label.italic = False
label.shadow = False
label.background = (0, 0, 0)
label.color = (1, 1, 1)
return label
line_slider_label_z = build_label(text="Z Slice")
line_slider_label_x = build_label(text="X Slice")
line_slider_label_y = build_label(text="Y Slice")
opacity_slider_label = build_label(text="Opacity")
"""
Create a ``panel`` to contain the sliders and labels.
"""
panel = ui.Panel2D(size=(300, 200),
color=(1, 1, 1),
opacity=0.1,
align="right")
panel.center = (1030, 120)
panel.add_element(line_slider_label_x, (0.1, 0.75))
panel.add_element(line_slider_x, (0.38, 0.75))
panel.add_element(line_slider_label_y, (0.1, 0.55))
panel.add_element(line_slider_y, (0.38, 0.55))
panel.add_element(line_slider_label_z, (0.1, 0.35))
panel.add_element(line_slider_z, (0.38, 0.35))
panel.add_element(opacity_slider_label, (0.1, 0.15))
panel.add_element(opacity_slider, (0.38, 0.15))
scene.add(panel)
"""
Create a ``panel`` to show the value of a picked voxel.
"""
label_position = ui.TextBlock2D(text='Position:')
label_value = ui.TextBlock2D(text='Value:')
result_position = ui.TextBlock2D(text='')
result_value = ui.TextBlock2D(text='')
text2 = ui.TextBlock2D(text='Calculate')
panel_picking = ui.Panel2D(size=(250, 125),
color=(1, 1, 1),
opacity=0.1,
align="left")
panel_picking.center = (200, 120)
panel_picking.add_element(label_position, (0.1, 0.75))
panel_picking.add_element(label_value, (0.1, 0.45))
panel_picking.add_element(result_position, (0.45, 0.75))
panel_picking.add_element(result_value, (0.45, 0.45))
panel_picking.add_element(text2, (0.1, 0.15))
icon_files = []
icon_files.append(('left', read_viz_icons(fname='circle-left.png')))
button_example = ui.Button2D(icon_fnames=icon_files, size=(100, 30))
panel_picking.add_element(button_example, (0.5, 0.1))
def change_text_callback(i_ren, obj, button):
text2.message = str(i_coord) + ' ' + str(j_coord) + ' ' + str(k_coord)
torusActor.SetPosition(i_coord, j_coord, k_coord)
print(i_coord, j_coord, k_coord)
lut, colors = change_TMS_effects(i_coord, j_coord, k_coord)
scene.rm(actor_line_list[0])
actor_line_list.append(
actor.line(bundle_native,
colors,
linewidth=5,
fake_tube=True,
lookup_colormap=lut))
scene.add(actor_line_list[1])
nonlocal number_of_stimulations
global bar
if number_of_stimulations > 0:
scene.rm(bar)
else:
number_of_stimulations = number_of_stimulations + 1
bar = actor.scalar_bar(lut)
bar.SetTitle("TMS effect")
bar.SetHeight(0.3)
bar.SetWidth(0.10) # the width is set first
bar.SetPosition(0.85, 0.3)
scene.add(bar)
actor_line_list.pop(0)
i_ren.force_render()
button_example.on_left_mouse_button_clicked = change_text_callback
scene.add(panel_picking)
scene.add(torusActor)
def left_click_callback(obj, ev):
"""Get the value of the clicked voxel and show it in the panel."""
event_pos = show_m.iren.GetEventPosition()
obj.picker.Pick(event_pos[0], event_pos[1], 0, scene)
global i_coord, j_coord, k_coord
i_coord, j_coord, k_coord = obj.picker.GetPointIJK()
print(i_coord, j_coord, k_coord)
result_position.message = '({}, {}, {})'.format(
str(i_coord), str(j_coord), str(k_coord))
result_value.message = '%.8f' % data_T1[i_coord, j_coord, k_coord]
torusActor.SetPosition(i_coord, j_coord, k_coord)
image_actor_z.AddObserver('LeftButtonPressEvent', left_click_callback, 1.0)
global size
size = scene.GetSize()
def win_callback(obj, event):
global size
if size != obj.GetSize():
size_old = size
size = obj.GetSize()
size_change = [size[0] - size_old[0], 0]
panel.re_align(size_change)
show_m.initialize()
"""
Set the following variable to ``True`` to interact with the datasets in 3D.
"""
interactive = True
scene.zoom(2.0)
scene.reset_clipping_range()
scene.set_camera(position=(-642.07, 495.40, 148.49),
focal_point=(127.50, 127.50, 127.50),
view_up=(0.02, -0.01, 1.00))
if interactive:
show_m.add_window_callback(win_callback)
show_m.render()
show_m.start()
else:
window.record(scene,
out_path=out_dir + '/bundles_and_effects.png',
size=(1200, 900),
reset_camera=True)
ring = ui.Disk2D(outer_radius=50, inner_radius=45, center=(500, 300),
color=(0, 1, 1))
###############################################################################
# Image
# =====
#
# Now let's display an image. First we need to fetch some icons that are
# included in DIPY.
fetch_viz_icons()
###############################################################################
# Now we can create an image container.
img = ui.ImageContainer2D(img_path=read_viz_icons(fname='home3.png'),
position=(450, 350))
###############################################################################
# Panel with buttons and text
# ===========================
#
# Let's create some buttons and text and put them in a panel. First we'll
# make the panel.
panel = ui.Panel2D(size=(300, 150), color=(1, 1, 1), align="right")
panel.center = (500, 400)
###############################################################################
# Then we'll make two text labels and place them on the panel.
# Note that we specifiy the position with integer numbers of pixels.
def test_ui_button_panel(recording=False):
filename = "test_ui_button_panel"
recording_filename = pjoin(DATA_DIR, filename + ".log.gz")
expected_events_counts_filename = pjoin(DATA_DIR, filename + ".json")
# Rectangle
rectangle_test = ui.Rectangle2D(size=(10, 10))
another_rectangle_test = ui.Rectangle2D(size=(1, 1))
# Button
fetch_viz_icons()
icon_files = []
icon_files.append(('stop', read_viz_icons(fname='stop2.png')))
icon_files.append(('play', read_viz_icons(fname='play3.png')))
button_test = ui.Button2D(icon_fnames=icon_files)
button_test.center = (20, 20)
def make_invisible(i_ren, _obj, button):
# i_ren: CustomInteractorStyle
# obj: vtkActor picked
# button: Button2D
button.set_visibility(False)
i_ren.force_render()
i_ren.event.abort()
def modify_button_callback(i_ren, _obj, button):
# i_ren: CustomInteractorStyle
# obj: vtkActor picked
# button: Button2D
button.next_icon()
i_ren.force_render()
button_test.on_right_mouse_button_pressed = make_invisible
button_test.on_left_mouse_button_pressed = modify_button_callback
button_test.scale((2, 2))
button_color = button_test.color
button_test.color = button_color
# TextBlock
text_block_test = ui.TextBlock2D()
text_block_test.message = 'TextBlock'
text_block_test.color = (0, 0, 0)
# Panel
panel = ui.Panel2D(size=(300, 150),
position=(290, 15),
color=(1, 1, 1), align="right")
panel.add_element(rectangle_test, (290, 135))
panel.add_element(button_test, (0.1, 0.1))
panel.add_element(text_block_test, (0.7, 0.7))
npt.assert_raises(ValueError, panel.add_element, another_rectangle_test,
(10., 0.5))
npt.assert_raises(ValueError, panel.add_element, another_rectangle_test,
(-0.5, 0.5))
# Assign the counter callback to every possible event.
event_counter = EventCounter()
event_counter.monitor(button_test)
event_counter.monitor(panel.background)
current_size = (600, 600)
show_manager = window.ShowManager(size=current_size, title="FURY Button")
show_manager.scene.add(panel)
if recording:
show_manager.record_events_to_file(recording_filename)
print(list(event_counter.events_counts.items()))
event_counter.save(expected_events_counts_filename)
else:
show_manager.play_events_from_file(recording_filename)
expected = EventCounter.load(expected_events_counts_filename)
event_counter.check_counts(expected)
from fury import ui, window
from fury.data import read_viz_icons, fetch_viz_icons
textbox1 = ui.TextBox2D(50,
20,
position=(330, 300),
text="Element 1" + " " * 8)
button_right = ui.Button2D(icon_fnames=[
('square', read_viz_icons(fname='circle-right.png'))
],
position=(295, 295),
size=(30, 30))
textbox2 = ui.TextBox2D(50,
20,
position=(330, 270),
text="Element 2" + " " * 8)
button_down = ui.Button2D(icon_fnames=[
('square', read_viz_icons(fname='circle-down.png'))
],
position=(295, 265),
size=(30, 30))
content = ui.Panel2D(size=(170, 100), color=(1, 1, 1), align="left")
content.center = (330, 330)
textbox = ui.TextBox2D(50, 10, text="Hello World!!")
content.add_element(textbox, (20, 50))
elements = [textbox1, button_right, button_down, content, textbox2, textbox]
def test_button_and_slider_widgets():
recording = False
filename = "test_button_and_slider_widgets.log.gz"
recording_filename = pjoin(DATA_DIR, filename)
renderer = window.Renderer()
# create some minimalistic streamlines
lines = [
np.array([[-1, 0, 0.], [1, 0, 0.]]),
np.array([[-1, 1, 0.], [1, 1, 0.]])
]
colors = np.array([[1., 0., 0.], [0.3, 0.7, 0.]])
stream_actor = actor.streamtube(lines, colors)
states = {
'camera_button_count': 0,
'plus_button_count': 0,
'minus_button_count': 0,
'slider_moved_count': 0,
}
renderer.add(stream_actor)
# the show manager allows to break the rendering process
# in steps so that the widgets can be added properly
show_manager = window.ShowManager(renderer, size=(800, 800))
if recording:
show_manager.initialize()
show_manager.render()
def button_callback(obj, event):
# print('Camera pressed')
states['camera_button_count'] += 1
def button_plus_callback(obj, event):
# print('+ pressed')
states['plus_button_count'] += 1
def button_minus_callback(obj, event):
# print('- pressed')
states['minus_button_count'] += 1
fetch_viz_icons()
button_png = read_viz_icons(fname='camera.png')
button = widget.button(show_manager.iren, show_manager.ren,
button_callback, button_png, (.98, 1.), (80, 50))
button_png_plus = read_viz_icons(fname='plus.png')
button_plus = widget.button(show_manager.iren, show_manager.ren,
button_plus_callback, button_png_plus,
(.98, .9), (120, 50))
button_png_minus = read_viz_icons(fname='minus.png')
button_minus = widget.button(show_manager.iren, show_manager.ren,
button_minus_callback, button_png_minus,
(.98, .9), (50, 50))
def print_status(obj, event):
rep = obj.GetRepresentation()
stream_actor.SetPosition((rep.GetValue(), 0, 0))
states['slider_moved_count'] += 1
slider = widget.slider(show_manager.iren,
show_manager.ren,
callback=print_status,
min_value=-1,
max_value=1,
value=0.,
label="X",
right_normalized_pos=(.98, 0.6),
size=(120, 0),
label_format="%0.2lf")
# This callback is used to update the buttons/sliders' position
# so they can stay on the right side of the window when the window
# is being resized.
global size
size = renderer.GetSize()
if recording:
show_manager.record_events_to_file(recording_filename)
print(states)
else:
show_manager.play_events_from_file(recording_filename)
npt.assert_equal(states["camera_button_count"], 7)
npt.assert_equal(states["plus_button_count"], 3)
npt.assert_equal(states["minus_button_count"], 4)
npt.assert_equal(states["slider_moved_count"], 116)
if not recording:
button.Off()
slider.Off()
# Uncomment below to test the slider and button with analyze
# button.place(renderer)
# slider.place(renderer)
report = window.analyze_renderer(renderer)
# import pylab as plt
# plt.imshow(report.labels, origin='lower')
# plt.show()
npt.assert_equal(report.actors, 1)
report = window.analyze_renderer(renderer)
npt.assert_equal(report.actors, 1)
from fury import window, actor, utils, io, ui
import itertools
from fury.data import read_viz_textures, fetch_viz_textures, read_viz_icons
##############################################################################
# Create a scene to start.
scene = window.Scene()
# Create a panel and the start/pause buttons
panel = ui.Panel2D(size=(300, 100), color=(1, 1, 1), align="right")
panel.center = (400, 50)
pause_button = ui.Button2D(icon_fnames=[("square",
read_viz_icons(fname="pause2.png"))])
start_button = ui.Button2D(icon_fnames=[("square",
read_viz_icons(fname="play3.png"))])
# Add the buttons on the panel
panel.add_element(pause_button, (0.25, 0.33))
panel.add_element(start_button, (0.66, 0.33))
##############################################################################
# Define information relevant for each planet actor including its
# texture name, relative position, and scale.
planets_data = [{
'filename': '8k_mercury.jpg',
'position': 7,
# Then we'll make two text labels and place them on the panel.
# Note that we specifiy the position with integer numbers of pixels.
text = ui.TextBlock2D(text="Click me")
text2 = ui.TextBlock2D(text="Me too")
panel.add_element(text, (50, 100))
panel.add_element(text2, (180, 100))
###############################################################################
# Then we'll create two buttons and add them to the panel.
#
# Note that here we specify the positions with floats. In this case, these are
# percentages of the panel size.
button_example = ui.Button2D(icon_fnames=[("square",
read_viz_icons(fname="stop2.png"))])
icon_files = []
icon_files.append(("down", read_viz_icons(fname="circle-down.png")))
icon_files.append(("left", read_viz_icons(fname="circle-left.png")))
icon_files.append(("up", read_viz_icons(fname="circle-up.png")))
icon_files.append(("right", read_viz_icons(fname="circle-right.png")))
second_button_example = ui.Button2D(icon_fnames=icon_files)
panel.add_element(button_example, (0.25, 0.33))
panel.add_element(second_button_example, (0.66, 0.33))
###############################################################################
# We can add a callback to each button to perform some action.
from fury import ui, window
from fury.data import read_viz_icons, fetch_viz_icons
textbox = ui.TextBox2D(50, 20, position=(300, 400), text=" "*8 + "23")
button_up = ui.Button2D(icon_fnames=[('square', read_viz_icons(fname='circle-up.png'))], position=(365,408), size=(15,15))
button_down = ui.Button2D(icon_fnames=[('square', read_viz_icons(fname='circle-down.png'))], position=(365,394), size=(15,15))
current_size = (800, 800)
show_manager = window.ShowManager(size=current_size, title="Spinner UI Example")
show_manager.scene.add(textbox)
show_manager.scene.add(button_up)
show_manager.scene.add(button_down)
show_manager.start()
from fury.data import read_viz_icons
from fury import ui, window
button_example = ui.Button2D(icon_fnames=[
('Up', read_viz_icons(fname='circle-up.png'))
],
position=(50, 50),
size=(30, 30))
current_size = (100, 100)
show_manager = window.ShowManager(size=current_size,
title="Inverted Image BUG")
show_manager.scene.add(button_example)
show_manager.start()
