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)
renderer.add(slicer)
renderer.reset_camera()
renderer.reset_clipping_range()
# window.show(renderer)
# copy pixels in numpy array directly
arr = window.snapshot(renderer, 'test_slicer.png', offscreen=True)
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)
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()
renderer.add(slicer)
# save pixels in png file not a numpy array
with InTemporaryDirectory() as tmpdir:
fname = os.path.join(tmpdir, 'slice.png')
# window.show(renderer)
window.snapshot(renderer, fname, offscreen=True)
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, offscreen=True)
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_lut.opacity(0.5)
slicer_lut.tolerance(0.03)
slicer_lut2 = slicer_lut.copy()
npt.assert_equal(slicer_lut2.GetOpacity(), 0.5)
npt.assert_equal(slicer_lut2.picker.GetTolerance(), 0.03)
slicer_lut2.opacity(1)
slicer_lut2.tolerance(0.025)
slicer_lut2.display(None, None, 10)
renderer.add(slicer_lut2)
renderer.reset_clipping_range()
arr = window.snapshot(renderer, offscreen=True)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 1)
renderer.clear()
data = (255 * np.random.rand(50, 50, 50))
affine = np.diag([1, 3, 2, 1])
slicer = actor.slicer(data, affine, interpolation='nearest')
slicer.display(None, None, 25)
renderer.add(slicer)
renderer.reset_camera()
renderer.reset_clipping_range()
arr = window.snapshot(renderer, offscreen=True)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 1)
npt.assert_equal(data.shape, slicer.shape)
renderer.clear()
data = (255 * np.random.rand(50, 50, 50))
affine = np.diag([1, 3, 2, 1])
from dipy.align.reslice import reslice
data2, affine2 = reslice(data, affine, zooms=(1, 3, 2),
new_zooms=(1, 1, 1))
slicer = actor.slicer(data2, affine2, interpolation='linear')
slicer.display(None, None, 25)
renderer.add(slicer)
renderer.reset_camera()
renderer.reset_clipping_range()
# window.show(renderer, reset_camera=False)
arr = window.snapshot(renderer, offscreen=True)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 1)
npt.assert_array_equal([1, 3, 2] * np.array(data.shape),
np.array(slicer.shape))
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_grid(_interactive=False):
vol1 = np.zeros((100, 100, 100))
vol1[25:75, 25:75, 25:75] = 100
contour_actor1 = actor.contour_from_roi(vol1, np.eye(4), (1., 0, 0), 1.)
vol2 = np.zeros((100, 100, 100))
vol2[25:75, 25:75, 25:75] = 100
contour_actor2 = actor.contour_from_roi(vol2, np.eye(4), (1., 0.5, 0), 1.)
vol3 = np.zeros((100, 100, 100))
vol3[25:75, 25:75, 25:75] = 100
contour_actor3 = actor.contour_from_roi(vol3, np.eye(4), (1., 0.5, 0.5),
1.)
scene = window.Scene()
actors = []
texts = []
actors.append(contour_actor1)
text_actor1 = actor.text_3d('cube 1', justification='center')
texts.append(text_actor1)
actors.append(contour_actor2)
text_actor2 = actor.text_3d('cube 2', justification='center')
texts.append(text_actor2)
actors.append(contour_actor3)
text_actor3 = actor.text_3d('cube 3', justification='center')
texts.append(text_actor3)
actors.append(shallow_copy(contour_actor1))
text_actor1 = 'cube 4'
texts.append(text_actor1)
actors.append(shallow_copy(contour_actor2))
text_actor2 = 'cube 5'
texts.append(text_actor2)
actors.append(shallow_copy(contour_actor3))
text_actor3 = 'cube 6'
texts.append(text_actor3)
# show the grid without the captions
container = grid(actors=actors,
captions=None,
caption_offset=(0, -40, 0),
cell_padding=(10, 10),
dim=(2, 3))
scene.add(container)
scene.projection('orthogonal')
counter = itertools.count()
show_m = window.ShowManager(scene)
show_m.initialize()
def timer_callback(_obj, _event):
cnt = next(counter)
# show_m.scene.zoom(1)
show_m.render()
if cnt == 4:
show_m.exit()
show_m.destroy_timers()
show_m.add_timer_callback(True, 200, timer_callback)
show_m.start()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 6)
scene.rm_all()
counter = itertools.count()
show_m = window.ShowManager(scene)
show_m.initialize()
# show the grid with the captions
container = grid(actors=actors,
captions=texts,
caption_offset=(0, -50, 0),
cell_padding=(10, 10),
dim=(3, 3))
scene.add(container)
show_m.add_timer_callback(True, 200, timer_callback)
show_m.start()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects > 6, True)
def test_contour_from_roi():
# Render volume
renderer = window.renderer()
data = np.zeros((50, 50, 50))
data[20:30, 25, 25] = 1.
data[25, 20:30, 25] = 1.
affine = np.eye(4)
surface = actor.contour_from_roi(data, affine,
color=np.array([1, 0, 1]),
opacity=.5)
renderer.add(surface)
renderer.reset_camera()
renderer.reset_clipping_range()
# window.show(renderer)
# Test binarization
renderer2 = window.renderer()
data2 = np.zeros((50, 50, 50))
data2[20:30, 25, 25] = 1.
data2[35:40, 25, 25] = 1.
affine = np.eye(4)
surface2 = actor.contour_from_roi(data2, affine,
color=np.array([0, 1, 1]),
opacity=.5)
renderer2.add(surface2)
renderer2.reset_camera()
renderer2.reset_clipping_range()
# window.show(renderer2)
arr = window.snapshot(renderer, 'test_surface.png', offscreen=True)
arr2 = window.snapshot(renderer2, 'test_surface2.png', offscreen=True)
report = window.analyze_snapshot(arr, find_objects=True)
report2 = window.analyze_snapshot(arr2, find_objects=True)
npt.assert_equal(report.objects, 1)
npt.assert_equal(report2.objects, 2)
# test on real streamlines using tracking example
from dipy.data import read_stanford_labels
from dipy.reconst.shm import CsaOdfModel
from dipy.data import default_sphere
from dipy.direction import peaks_from_model
from dipy.tracking.local import ThresholdTissueClassifier
from dipy.tracking import utils
from dipy.tracking.local import LocalTracking
from fury.colormap import line_colors
hardi_img, gtab, labels_img = read_stanford_labels()
data = hardi_img.get_data()
labels = labels_img.get_data()
affine = hardi_img.affine
white_matter = (labels == 1) | (labels == 2)
csa_model = CsaOdfModel(gtab, sh_order=6)
csa_peaks = peaks_from_model(csa_model, data, default_sphere,
relative_peak_threshold=.8,
min_separation_angle=45,
mask=white_matter)
classifier = ThresholdTissueClassifier(csa_peaks.gfa, .25)
seed_mask = labels == 2
seeds = utils.seeds_from_mask(seed_mask, density=[1, 1, 1], affine=affine)
# Initialization of LocalTracking.
# The computation happens in the next step.
streamlines = LocalTracking(csa_peaks, classifier, seeds, affine,
step_size=2)
# Compute streamlines and store as a list.
streamlines = list(streamlines)
# Prepare the display objects.
streamlines_actor = actor.line(streamlines, line_colors(streamlines))
seedroi_actor = actor.contour_from_roi(seed_mask, affine, [0, 1, 1], 0.5)
# Create the 3d display.
r = window.Renderer()
r2 = window.Renderer()
r.add(streamlines_actor)
arr3 = window.snapshot(r, 'test_surface3.png', offscreen=True)
report3 = window.analyze_snapshot(arr3, find_objects=True)
r2.add(streamlines_actor)
r2.add(seedroi_actor)
arr4 = window.snapshot(r2, 'test_surface4.png', offscreen=True)
report4 = window.analyze_snapshot(arr4, find_objects=True)
# assert that the seed ROI rendering is not far
# away from the streamlines (affine error)
npt.assert_equal(report3.objects, report4.objects)
def test_scene():
scene = window.Scene()
# Scene size test
npt.assert_equal(scene.size(), (0, 0))
# Color background test
# Background color for scene (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'))
scene.background(bg_float)
arr = window.snapshot(scene)
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])
# Add actor to scene to test the remove actor function by analyzing a
# snapshot
axes = actor.axes()
scene.add(axes)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 1)
# Test remove actor function by analyzing a snapshot
scene.rm(axes)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 0)
# Add actor to scene to test the remove all actors function by analyzing a
# snapshot
scene.add(axes)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 1)
# Test remove all actors function by analyzing a snapshot
scene.rm_all()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 0)
# Test change background color from scene by analyzing the scene
ren2 = window.Scene(bg_float)
ren2.background((0, 0, 0.))
report = window.analyze_scene(ren2)
npt.assert_equal(report.bg_color, (0, 0, 0))
# Add actor to scene to test the remove actor function by analyzing the
# scene
ren2.add(axes)
report = window.analyze_scene(ren2)
npt.assert_equal(report.actors, 1)
# Test remove actor function by analyzing the scene
ren2.rm(axes)
report = window.analyze_scene(ren2)
npt.assert_equal(report.actors, 0)
# Test camera information retrieving
with captured_output() as (out, err):
scene.camera_info()
npt.assert_equal(out.getvalue().strip(),
'# Active Camera\n '
'Position (0.00, 0.00, 1.00)\n '
'Focal Point (0.00, 0.00, 0.00)\n '
'View Up (0.00, 1.00, 0.00)')
npt.assert_equal(err.getvalue().strip(), '')
# Test skybox
scene = window.Scene()
npt.assert_equal(scene.GetUseImageBasedLighting(), False)
npt.assert_equal(scene.GetAutomaticLightCreation(), 1)
npt.assert_equal(scene.GetSphericalHarmonics(), None)
npt.assert_equal(scene.GetEnvironmentTexture(), None)
test_tex = Texture()
scene = window.Scene(skybox=test_tex)
npt.assert_equal(scene.GetUseImageBasedLighting(), True)
npt.assert_equal(scene.GetAutomaticLightCreation(), 0)
npt.assert_equal(scene.GetSphericalHarmonics(), None)
npt.assert_equal(scene.GetEnvironmentTexture(), test_tex)
# Test automatically shown skybox
test_tex = Texture()
test_tex.CubeMapOn()
checker_arr = np.array([[1, 0], [0, 1]], dtype=np.uint8) * 255
for i in range(6):
vtk_img = ImageData()
vtk_img.SetDimensions(2, 2, 1)
img_arr = np.zeros((2, 2, 3), dtype=np.uint8)
img_arr[:, :, i // 2] = checker_arr
vtk_arr = numpy_support.numpy_to_vtk(img_arr.reshape((-1, 3),
order='F'))
vtk_arr.SetName('Image')
img_point_data = vtk_img.GetPointData()
img_point_data.AddArray(vtk_arr)
img_point_data.SetActiveScalars('Image')
test_tex.SetInputDataObject(i, vtk_img)
scene = window.Scene(skybox=test_tex)
report = window.analyze_scene(scene)
npt.assert_equal(report.actors, 1)
ss = window.snapshot(scene)
npt.assert_array_equal(ss[75, 75, :], [0, 0, 255])
npt.assert_array_equal(ss[75, 225, :], [0, 0, 0])
scene.yaw(90)
ss = window.snapshot(scene)
npt.assert_array_equal(ss[75, 75, :], [255, 0, 0])
npt.assert_array_equal(ss[75, 225, :], [0, 0, 0])
scene.pitch(90)
ss = window.snapshot(scene)
npt.assert_array_equal(ss[75, 75, :], [0, 0, 0])
npt.assert_array_equal(ss[75, 225, :], [0, 255, 0])
def test_scene():
scene = window.Scene()
npt.assert_equal(scene.size(), (0, 0))
# background color for scene (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'))
scene.background(bg_float)
# window.show(scene)
arr = window.snapshot(scene)
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()
scene.add(axes)
# window.show(scene)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 1)
scene.rm(axes)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 0)
scene.add(axes)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 1)
scene.rm_all()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, bg_color)
npt.assert_equal(report.objects, 0)
ren2 = window.Scene(bg_float)
ren2.background((0, 0, 0.))
report = window.analyze_scene(ren2)
npt.assert_equal(report.bg_color, (0, 0, 0))
ren2.add(axes)
report = window.analyze_scene(ren2)
npt.assert_equal(report.actors, 3)
ren2.rm(axes)
report = window.analyze_scene(ren2)
npt.assert_equal(report.actors, 0)
with captured_output() as (out, err):
scene.camera_info()
npt.assert_equal(
out.getvalue().strip(), '# Active Camera\n '
'Position (0.00, 0.00, 1.00)\n '
'Focal Point (0.00, 0.00, 0.00)\n '
'View Up (0.00, 1.00, 0.00)')
npt.assert_equal(err.getvalue().strip(), '')
def test_grid_ui(interactive=False):
vol1 = np.zeros((100, 100, 100))
vol1[25:75, 25:75, 25:75] = 100
colors = distinguishable_colormap(nb_colors=3)
contour_actor1 = actor.contour_from_roi(vol1, np.eye(4), colors[0], 1.)
vol2 = np.zeros((100, 100, 100))
vol2[25:75, 25:75, 25:75] = 100
contour_actor2 = actor.contour_from_roi(vol2, np.eye(4), colors[1], 1.)
vol3 = np.zeros((100, 100, 100))
vol3[25:75, 25:75, 25:75] = 100
contour_actor3 = actor.contour_from_roi(vol3, np.eye(4), colors[2], 1.)
scene = window.Scene()
actors = []
texts = []
actors.append(contour_actor1)
text_actor1 = actor.text_3d('cube 1', justification='center')
texts.append(text_actor1)
actors.append(contour_actor2)
text_actor2 = actor.text_3d('cube 2', justification='center')
texts.append(text_actor2)
actors.append(contour_actor3)
text_actor3 = actor.text_3d('cube 3', justification='center')
texts.append(text_actor3)
actors.append(shallow_copy(contour_actor1))
text_actor1 = actor.text_3d('cube 4', justification='center')
texts.append(text_actor1)
actors.append(shallow_copy(contour_actor2))
text_actor2 = actor.text_3d('cube 5', justification='center')
texts.append(text_actor2)
actors.append(shallow_copy(contour_actor3))
text_actor3 = actor.text_3d('cube 6', justification='center')
texts.append(text_actor3)
actors.append(shallow_copy(contour_actor1))
text_actor1 = actor.text_3d('cube 7', justification='center')
texts.append(text_actor1)
actors.append(shallow_copy(contour_actor2))
text_actor2 = actor.text_3d('cube 8', justification='center')
texts.append(text_actor2)
actors.append(shallow_copy(contour_actor3))
text_actor3 = actor.text_3d('cube 9', justification='center')
texts.append(text_actor3)
counter = itertools.count()
show_m = window.ShowManager(scene)
show_m.initialize()
def timer_callback(_obj, _event):
cnt = next(counter)
show_m.scene.zoom(1)
show_m.render()
if cnt == 10:
show_m.exit()
# show the grid with the captions
grid_ui = ui.GridUI(actors=actors,
captions=texts,
caption_offset=(0, -50, 0),
cell_padding=(60, 60),
dim=(3, 3),
rotation_axis=(1, 0, 0))
scene.add(grid_ui)
show_m.add_timer_callback(True, 200, timer_callback)
show_m.start()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects > 9, True)
# this needs to happen automatically when start() ends.
for act in actors:
act.RemoveAllObservers()
filename = "test_grid_ui"
recording_filename = pjoin(DATA_DIR, filename + ".log.gz")
expected_events_counts_filename = pjoin(DATA_DIR, filename + ".pkl")
current_size = (900, 600)
scene = window.Scene()
show_manager = window.ShowManager(scene,
size=current_size,
title="FURY GridUI")
show_manager.initialize()
grid_ui2 = ui.GridUI(actors=actors,
captions=texts,
caption_offset=(0, -50, 0),
cell_padding=(60, 60),
dim=(3, 3),
rotation_axis=None)
scene.add(grid_ui2)
event_counter = EventCounter()
event_counter.monitor(grid_ui2)
if interactive:
show_manager.start()
recording = False
if recording:
# Record the following events
# 1. Left click on top left box (will rotate the box)
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)
def test_active_camera():
renderer = window.Renderer()
renderer.add(actor.axes(scale=(1, 1, 1)))
renderer.reset_camera()
renderer.reset_clipping_range()
direction = renderer.camera_direction()
position, focal_point, view_up = renderer.get_camera()
renderer.set_camera((0., 0., 1.), (0., 0., 0), view_up)
position, focal_point, view_up = renderer.get_camera()
npt.assert_almost_equal(np.dot(direction, position), -1)
renderer.zoom(1.5)
new_position, _, _ = renderer.get_camera()
npt.assert_array_almost_equal(position, new_position)
renderer.zoom(1)
# rotate around focal point
renderer.azimuth(90)
position, _, _ = renderer.get_camera()
npt.assert_almost_equal(position, (1.0, 0.0, 0))
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr, colors=[(255, 0, 0)])
npt.assert_equal(report.colors_found, [True])
# rotate around camera's center
renderer.yaw(90)
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr, colors=[(0, 0, 0)])
npt.assert_equal(report.colors_found, [True])
renderer.yaw(-90)
renderer.elevation(90)
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr, colors=(0, 255, 0))
npt.assert_equal(report.colors_found, [True])
renderer.set_camera((0., 0., 1.), (0., 0., 0), view_up)
# vertical rotation of the camera around the focal point
renderer.pitch(10)
renderer.pitch(-10)
# rotate around the direction of projection
renderer.roll(90)
# inverted normalized distance from focal point along the direction
# of the camera
position, _, _ = renderer.get_camera()
renderer.dolly(0.5)
new_position, _, _ = renderer.get_camera()
npt.assert_almost_equal(position[2], 0.5 * new_position[2])
def test_sdf_actor(interactive=False):
scene = window.Scene()
scene.background((1, 1, 1))
centers = np.array([[2, 0, 0], [0, 2, 0], [0, 0, 0], [2, 2, 0]]) * 11
colors = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 1, 0]])
directions = np.array([[0, 1, 0], [1, 0, 0], [0, 0, 1], [1, 1, 0]])
scales = [1, 2, 3, 4]
primitive = ['sphere', 'ellipsoid', 'torus', 'capsule']
sdf_actor = actor.sdf(centers, directions,
colors, primitive, scales)
scene.add(sdf_actor)
scene.add(actor.axes())
if interactive:
window.show(scene)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, colors=colors)
npt.assert_equal(report.objects, 4)
# Draw 3 spheres as the primitive type is str
scene.clear()
primitive = 'sphere'
sdf_actor = actor.sdf(centers, directions,
colors, primitive, scales)
scene.add(sdf_actor)
scene.add(actor.axes())
if interactive:
window.show(scene)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, colors=colors)
npt.assert_equal(report.objects, 4)
# A sphere and default back to two torus
# as the primitive type is list
scene.clear()
primitive = ['sphere']
with npt.assert_warns(UserWarning):
sdf_actor = actor.sdf(centers, directions, colors,
primitive, scales)
scene.add(sdf_actor)
scene.add(actor.axes())
if interactive:
window.show(scene)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, colors=colors)
npt.assert_equal(report.objects, 4)
# One sphere and ellipsoid each
# Default to torus
scene.clear()
primitive = ['sphere', 'ellipsoid']
with npt.assert_warns(UserWarning):
sdf_actor = actor.sdf(centers, directions,
colors, primitive, scales)
scene.add(sdf_actor)
scene.add(actor.axes())
if interactive:
window.show(scene)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, colors=colors)
npt.assert_equal(report.objects, 4)
def test_odf_slicer(interactive=False):
# Prepare our data
sphere = get_sphere('repulsion100')
shape = (11, 11, 11, sphere.vertices.shape[0])
odfs = np.ones(shape)
affine = np.array([[2.0, 0.0, 0.0, 3.0],
[0.0, 2.0, 0.0, 3.0],
[0.0, 0.0, 2.0, 1.0],
[0.0, 0.0, 0.0, 1.0]])
mask = np.ones(odfs.shape[:3], bool)
mask[:4, :4, :4] = False
# Test that affine and mask work
odf_actor = actor.odf_slicer(odfs, sphere=sphere, affine=affine, mask=mask,
scale=.25, colormap='blues')
k = 2
I, J, _ = odfs.shape[:3]
odf_actor.display_extent(0, I - 1, 0, J - 1, k, k)
scene = window.Scene()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene, reset_camera=False)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 11 * 11 - 16)
# Test that global colormap works
odf_actor = actor.odf_slicer(odfs, sphere=sphere, mask=mask, scale=.25,
colormap='blues', norm=False, global_cm=True)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# Test that the most basic odf_slicer instanciation works
odf_actor = actor.odf_slicer(odfs)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# Test that odf_slicer.display works properly
scene.clear()
scene.add(odf_actor)
scene.add(actor.axes((11, 11, 11)))
for i in range(11):
odf_actor.display(i, None, None)
if interactive:
window.show(scene)
for j in range(11):
odf_actor.display(None, j, None)
if interactive:
window.show(scene)
# With mask equal to zero everything should be black
mask = np.zeros(odfs.shape[:3])
odf_actor = actor.odf_slicer(odfs, sphere=sphere, mask=mask,
scale=.25, colormap='blues',
norm=False, global_cm=True)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# global_cm=True with colormap=None should raise an error
npt.assert_raises(IOError, actor.odf_slicer, odfs, sphere=sphere,
mask=None, scale=.25, colormap=None, norm=False,
global_cm=True)
# Dimension mismatch between sphere vertices and number
# of SF coefficients will raise an error.
npt.assert_raises(ValueError, actor.odf_slicer, odfs, mask=None,
sphere=get_sphere('repulsion200'), scale=.25)
# colormap=None and global_cm=False results in directionally encoded colors
odf_actor = actor.odf_slicer(odfs, sphere=sphere, mask=None,
scale=.25, colormap=None,
norm=False, global_cm=False)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# Test that SH coefficients input works
B = sh_to_sf_matrix(sphere, sh_order=4, return_inv=False)
odfs = np.zeros((11, 11, 11, B.shape[0]))
odfs[..., 0] = 1.0
odf_actor = actor.odf_slicer(odfs, sphere=sphere, B_matrix=B)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# Dimension mismatch between sphere vertices and dimension of
# B matrix will raise an error.
npt.assert_raises(ValueError, actor.odf_slicer, odfs, mask=None,
sphere=get_sphere('repulsion200'))
# Test that constant colormap color works. Also test that sphere
# normals are oriented correctly. Will show purple spheres with
# a white contour.
odf_contour = actor.odf_slicer(odfs, sphere=sphere, B_matrix=B,
colormap=(255, 255, 255))
odf_contour.GetProperty().SetAmbient(1.0)
odf_contour.GetProperty().SetFrontfaceCulling(True)
odf_actor = actor.odf_slicer(odfs, sphere=sphere, B_matrix=B,
colormap=(255, 0, 255), scale=0.4)
scene.clear()
scene.add(odf_contour)
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# Test that we can change the sphere on an active actor
new_sphere = get_sphere('symmetric362')
new_B = sh_to_sf_matrix(new_sphere, sh_order=4, return_inv=False)
odf_actor.update_sphere(new_sphere.vertices, new_sphere.faces, new_B)
if interactive:
window.show(scene)
del odf_actor
del odfs
def test_odf_slicer(interactive=False):
# TODO: we should change the odf_slicer to work directly
# vertices and faces of a sphere rather that needing
# a specific type of sphere. We can use prim_sphere
# as an alternative to get_sphere.
vertices, faces = prim_sphere('repulsion100', True)
sphere = Sphere()
sphere.vertices = vertices
sphere.faces = faces
shape = (11, 11, 11, 100)
odfs = np.ones(shape)
affine = np.array([[2.0, 0.0, 0.0, 3.0],
[0.0, 2.0, 0.0, 3.0],
[0.0, 0.0, 2.0, 1.0],
[0.0, 0.0, 0.0, 1.0]])
mask = np.ones(odfs.shape[:3], bool)
mask[:4, :4, :4] = False
# Test that affine and mask work
odf_actor = actor.odf_slicer(odfs, sphere=sphere, affine=affine, mask=mask,
scale=.25, colormap='blues')
k = 2
I, J, _ = odfs.shape[:3]
odf_actor.display_extent(0, I - 1, 0, J - 1, k, k)
scene = window.Scene()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene, reset_camera=False)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 11 * 11 - 16)
# Test that global colormap works
odf_actor = actor.odf_slicer(odfs, sphere=sphere, mask=mask, scale=.25,
colormap='blues', norm=False, global_cm=True)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# Test that the most basic odf_slicer instanciation works
odf_actor = actor.odf_slicer(odfs)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# Test that odf_slicer.display works properly
scene.clear()
scene.add(odf_actor)
scene.add(actor.axes((11, 11, 11)))
for i in range(11):
odf_actor.display(i, None, None)
if interactive:
window.show(scene)
for j in range(11):
odf_actor.display(None, j, None)
if interactive:
window.show(scene)
# With mask equal to zero everything should be black
mask = np.zeros(odfs.shape[:3])
odf_actor = actor.odf_slicer(odfs, sphere=sphere, mask=mask,
scale=.25, colormap='blues',
norm=False, global_cm=True)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
# global_cm=True with colormap=None should raise an error
npt.assert_raises(IOError, actor.odf_slicer, odfs, sphere=None,
mask=None, scale=.25, colormap=None, norm=False,
global_cm=True)
vertices2, faces2 = prim_sphere('repulsion200', True)
sphere2 = Sphere()
sphere2.vertices = vertices2
sphere2.faces = faces2
# Dimension mismatch between sphere vertices and number
# of SF coefficients will raise an error.
npt.assert_raises(ValueError, actor.odf_slicer, odfs, mask=None,
sphere=sphere2, scale=.25)
# colormap=None and global_cm=False results in directionally encoded colors
odf_actor = actor.odf_slicer(odfs, sphere=None, mask=None,
scale=.25, colormap=None,
norm=False, global_cm=False)
scene.clear()
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
del odf_actor
del odfs
def test_slicer(verbose=False):
scene = window.Scene()
data = (255 * np.random.rand(50, 50, 50))
affine = np.eye(4)
slicer = actor.slicer(data, affine, value_range=[data.min(), data.max()])
slicer.display(None, None, 25)
scene.add(slicer)
scene.reset_camera()
scene.reset_clipping_range()
# window.show(scene)
# copy pixels in numpy array directly
arr = window.snapshot(scene, 'test_slicer.png', offscreen=True)
if verbose:
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)
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)
scene.ResetCamera()
scene.add(slicer)
# save pixels in png file not a numpy array
with InTemporaryDirectory() as tmpdir:
fname = os.path.join(tmpdir, 'slice.png')
window.snapshot(scene, fname, offscreen=True)
report = window.analyze_snapshot(fname, find_objects=True)
npt.assert_equal(report.objects, 1)
# Test Errors
data_4d = (255 * np.random.rand(50, 50, 50, 50))
npt.assert_raises(ValueError, actor.slicer, data_4d)
npt.assert_raises(ValueError, actor.slicer, np.ones(10))
scene.clear()
rgb = np.zeros((30, 30, 30, 3), dtype='f8')
rgb[..., 0] = 255
rgb_actor = actor.slicer(rgb)
scene.add(rgb_actor)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene, offscreen=True)
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.))
scene.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_lut.opacity(0.5)
slicer_lut.tolerance(0.03)
slicer_lut2 = slicer_lut.copy()
npt.assert_equal(slicer_lut2.GetOpacity(), 0.5)
npt.assert_equal(slicer_lut2.picker.GetTolerance(), 0.03)
slicer_lut2.opacity(1)
slicer_lut2.tolerance(0.025)
slicer_lut2.display(None, None, 10)
scene.add(slicer_lut2)
scene.reset_clipping_range()
arr = window.snapshot(scene, offscreen=True)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 1)
scene.clear()
data = (255 * np.random.rand(50, 50, 50))
affine = np.diag([1, 3, 2, 1])
slicer = actor.slicer(data, affine, interpolation='nearest')
slicer.display(None, None, 25)
scene.add(slicer)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene, offscreen=True)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 1)
npt.assert_equal(data.shape, slicer.shape)
slicer2 = slicer.copy()
npt.assert_equal(slicer2.shape, slicer.shape)
def test_bundle_maps():
scene = window.Scene()
bundle = simulated_bundle(no_streamlines=10, waves=False)
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)
scene.add(line)
scene.add(actor.scalar_bar(lut, ' '))
report = window.analyze_scene(scene)
npt.assert_almost_equal(report.actors, 1)
# window.show(scene)
scene.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)
scene.add(line)
# window.show(scene)
report = window.analyze_scene(scene)
npt.assert_equal(report.actors_classnames[0], 'vtkLODActor')
scene.clear()
colors = np.random.rand(nb_points, 3)
# values[:nb_points/2] = 0
line = actor.line(bundle, colors, linewidth=2)
scene.add(line)
# window.show(scene)
report = window.analyze_scene(scene)
npt.assert_equal(report.actors_classnames[0], 'vtkLODActor')
# window.show(scene)
arr = window.snapshot(scene)
report2 = window.analyze_snapshot(arr)
npt.assert_equal(report2.objects, 1)
# try other input options for colors
scene.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_odf_slicer(interactive=False):
sphere = get_sphere('symmetric362')
shape = (11, 11, 11, sphere.vertices.shape[0])
fid, fname = mkstemp(suffix='_odf_slicer.mmap')
print(fid)
print(fname)
odfs = np.memmap(fname, dtype=np.float64, mode='w+',
shape=shape)
odfs[:] = 1
affine = np.eye(4)
renderer = window.Renderer()
mask = np.ones(odfs.shape[:3])
mask[:4, :4, :4] = 0
odfs[..., 0] = 1
odf_actor = actor.odf_slicer(odfs, affine,
mask=mask, sphere=sphere, scale=.25,
colormap='plasma')
fa = 0. * np.zeros(odfs.shape[:3])
fa[:, 0, :] = 1.
fa[:, -1, :] = 1.
fa[0, :, :] = 1.
fa[-1, :, :] = 1.
fa[5, 5, 5] = 1
k = 5
I, J, K = odfs.shape[:3]
fa_actor = actor.slicer(fa, affine)
fa_actor.display_extent(0, I, 0, J, k, k)
renderer.add(odf_actor)
renderer.reset_camera()
renderer.reset_clipping_range()
odf_actor.display_extent(0, I, 0, J, k, k)
odf_actor.GetProperty().SetOpacity(1.0)
if interactive:
window.show(renderer, reset_camera=False)
arr = window.snapshot(renderer)
report = window.analyze_snapshot(arr, find_objects=True)
npt.assert_equal(report.objects, 11 * 11)
renderer.clear()
renderer.add(fa_actor)
renderer.reset_camera()
renderer.reset_clipping_range()
if interactive:
window.show(renderer)
mask[:] = 0
mask[5, 5, 5] = 1
fa[5, 5, 5] = 0
fa_actor = actor.slicer(fa, None)
fa_actor.display(None, None, 5)
odf_actor = actor.odf_slicer(odfs, None, mask=mask,
sphere=sphere, scale=.25,
colormap='plasma',
norm=False, global_cm=True)
renderer.clear()
renderer.add(fa_actor)
renderer.add(odf_actor)
renderer.reset_camera()
renderer.reset_clipping_range()
if interactive:
window.show(renderer)
renderer.clear()
renderer.add(odf_actor)
renderer.add(fa_actor)
odfs[:, :, :] = 1
mask = np.ones(odfs.shape[:3])
odf_actor = actor.odf_slicer(odfs, None, mask=mask,
sphere=sphere, scale=.25,
colormap='plasma',
norm=False, global_cm=True)
renderer.clear()
renderer.add(odf_actor)
renderer.add(fa_actor)
renderer.add(actor.axes((11, 11, 11)))
for i in range(11):
odf_actor.display(i, None, None)
fa_actor.display(i, None, None)
if interactive:
window.show(renderer)
for j in range(11):
odf_actor.display(None, j, None)
fa_actor.display(None, j, None)
if interactive:
window.show(renderer)
# with mask equal to zero everything should be black
mask = np.zeros(odfs.shape[:3])
odf_actor = actor.odf_slicer(odfs, None, mask=mask,
sphere=sphere, scale=.25,
colormap='plasma',
norm=False, global_cm=True)
renderer.clear()
renderer.add(odf_actor)
renderer.reset_camera()
renderer.reset_clipping_range()
if interactive:
window.show(renderer)
report = window.analyze_renderer(renderer)
npt.assert_equal(report.actors, 1)
npt.assert_equal(report.actors_classnames[0], 'vtkLODActor')
del odf_actor
odfs._mmap.close()
del odfs
os.close(fid)
os.remove(fname)
def test_manifest_standard(interactive=False):
scene = window.Scene() # Setup scene
# Setup surface
surface_actor = _generate_surface()
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(surface_actor)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 1)
scene.clear() # Reset scene
# Contour from roi setup
data = np.zeros((50, 50, 50))
data[20:30, 25, 25] = 1.
data[25, 20:30, 25] = 1.
affine = np.eye(4)
surface = actor.contour_from_roi(data, affine, color=np.array([1, 0, 1]))
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(surface)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 1)
scene.clear() # Reset scene
# Contour from label setup
data = np.zeros((50, 50, 50))
data[5:15, 1:10, 25] = 1.
data[25:35, 1:10, 25] = 2.
data[40:49, 1:10, 25] = 3.
color = np.array([[255, 0, 0],
[0, 255, 0],
[0, 0, 255]])
surface = actor.contour_from_label(data, color=color)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(surface)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 3)
scene.clear() # Reset scene
# Streamtube setup
data1 = np.array([[0, 0, 0], [1, 1, 1], [2, 2, 2.]])
data2 = data1 + np.array([0.5, 0., 0.])
data = [data1, data2]
colors = np.array([[1, 0, 0], [0, 0, 1.]])
tubes = actor.streamtube(data, colors, linewidth=.1)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(tubes)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 2)
scene.clear() # Reset scene
# ODF slicer setup
if have_dipy:
from dipy.data import get_sphere
from tempfile import mkstemp
sphere = get_sphere('symmetric362')
shape = (11, 11, 11, sphere.vertices.shape[0])
fid, fname = mkstemp(suffix='_odf_slicer.mmap')
odfs = np.memmap(fname, dtype=np.float64, mode='w+', shape=shape)
odfs[:] = 1
affine = np.eye(4)
mask = np.ones(odfs.shape[:3])
mask[:4, :4, :4] = 0
odfs[..., 0] = 1
odf_actor = actor.odf_slicer(odfs, affine, mask=mask, sphere=sphere,
scale=.25, colormap='blues')
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
k = 5
I, J, _ = odfs.shape[:3]
odf_actor.display_extent(0, I, 0, J, k, k)
odf_actor.GetProperty().SetOpacity(1.0)
scene.add(odf_actor)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 11 * 11)
scene.clear() # Reset scene
# Tensor slicer setup
if have_dipy:
from dipy.data import get_sphere
sphere = get_sphere('symmetric724')
evals = np.array([1.4, .35, .35]) * 10 ** (-3)
evecs = np.eye(3)
mevals = np.zeros((3, 2, 4, 3))
mevecs = np.zeros((3, 2, 4, 3, 3))
mevals[..., :] = evals
mevecs[..., :, :] = evecs
affine = np.eye(4)
scene = window.Scene()
tensor_actor = actor.tensor_slicer(mevals, mevecs, affine=affine,
sphere=sphere, scale=.3)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
_, J, K = mevals.shape[:3]
tensor_actor.display_extent(0, 1, 0, J, 0, K)
scene.add(tensor_actor)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 4)
scene.clear() # Reset scene
# Point setup
points = np.array([[0, 0, 0], [0, 1, 0], [1, 0, 0]])
colors = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
opacity = 0.5
points_actor = actor.point(points, colors, opacity=opacity)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(points_actor)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 3)
scene.clear() # Reset scene
# Sphere setup
xyzr = np.array([[0, 0, 0, 10], [100, 0, 0, 25], [200, 0, 0, 50]])
colors = np.array([[1, 0, 0, 0.3], [0, 1, 0, 0.4], [0, 0, 1., 0.99]])
opacity = 0.5
sphere_actor = actor.sphere(centers=xyzr[:, :3], colors=colors[:],
radii=xyzr[:, 3], opacity=opacity)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(sphere_actor)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 3)
scene.clear() # Reset scene
# Advanced geometry actors setup (Arrow, cone, cylinder)
xyz = np.array([[0, 0, 0], [50, 0, 0], [100, 0, 0]])
dirs = np.array([[0, 1, 0], [1, 0, 0], [0, 0.5, 0.5]])
colors = np.array([[1, 0, 0, 0.3], [0, 1, 0, 0.4], [1, 1, 0, 1]])
heights = np.array([5, 7, 10])
actor_list = [[actor.cone, {'directions': dirs, 'resolution': 8}],
[actor.arrow, {'directions': dirs, 'resolution': 9}],
[actor.cylinder, {'directions': dirs}]]
for act_func, extra_args in actor_list:
aga_actor = act_func(centers=xyz, colors=colors[:], heights=heights,
**extra_args)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(aga_actor)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 3)
scene.clear()
# Basic geometry actors (Box, cube, frustum, octagonalprism, rectangle,
# square)
centers = np.array([[4, 0, 0], [0, 4, 0], [0, 0, 0]])
colors = np.array([[1, 0, 0, 0.4], [0, 1, 0, 0.8], [0, 0, 1, 0.5]])
directions = np.array([[1, 1, 0]])
scale_list = [1, 2, (1, 1, 1), [3, 2, 1], np.array([1, 2, 3]),
np.array([[1, 2, 3], [1, 3, 2], [3, 1, 2]])]
actor_list = [[actor.box, {}], [actor.cube, {}], [actor.frustum, {}],
[actor.octagonalprism, {}], [actor.rectangle, {}],
[actor.square, {}]]
for act_func, extra_args in actor_list:
for scale in scale_list:
scene = window.Scene()
bga_actor = act_func(centers=centers, directions=directions,
colors=colors, scales=scale, **extra_args)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(bga_actor)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
msg = 'Failed with {}, scale={}'.format(act_func.__name__, scale)
npt.assert_equal(report.objects, 3, err_msg=msg)
scene.clear()
# Cone setup using vertices
centers = np.array([[0, 0, 0], [20, 0, 0], [40, 0, 0]])
directions = np.array([[0, 1, 0], [1, 0, 0], [0, 0, 1]])
colors = np.array([[1, 0, 0, 0.3], [0, 1, 0, 0.4], [0, 0, 1., 0.99]])
vertices = np.array([[0.0, 0.0, 0.0], [0.0, 10.0, 0.0],
[10.0, 0.0, 0.0], [0.0, 0.0, 10.0]])
faces = np.array([[0, 1, 3], [0, 1, 2]])
cone_actor = actor.cone(centers=centers, directions=directions,
colors=colors[:], vertices=vertices, faces=faces)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(cone_actor)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 3)
scene.clear() # Reset scene
# Superquadric setup
centers = np.array([[8, 0, 0], [0, 8, 0], [0, 0, 0]])
colors = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
directions = np.random.rand(3, 3)
scales = [1, 2, 3]
roundness = np.array([[1, 1], [1, 2], [2, 1]])
sq_actor = actor.superquadric(centers, roundness=roundness,
directions=directions,
colors=colors.astype(np.uint8),
scales=scales)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(sq_actor)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
ft.assert_greater_equal(report.objects, 3)
scene.clear() # Reset scene
# Label setup
text_actor = actor.label("Hello")
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(text_actor)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 5)
scene.clear() # Reset scene
# Texture setup
arr = (255 * np.ones((512, 212, 4))).astype('uint8')
arr[20:40, 20:40, :] = np.array([255, 0, 0, 255], dtype='uint8')
tp2 = actor.texture(arr)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(tp2)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 1)
scene.clear() # Reset scene
# Texture on sphere setup
arr = 255 * np.ones((810, 1620, 3), dtype='uint8')
rows, cols, _ = arr.shape
rs = rows // 2
cs = cols // 2
w = 150 // 2
arr[rs - w: rs + w, cs - 10 * w: cs + 10 * w] = np.array([255, 127, 0])
tsa = actor.texture_on_sphere(arr)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(tsa)
scene.reset_camera()
scene.reset_clipping_range()
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 1)
# NOTE: From this point on, these actors don't have full support for PBR
# interpolation. This is, the test passes but there is no evidence of the
# desired effect.
"""
# Setup slicer
data = (255 * np.random.rand(50, 50, 50))
affine = np.eye(4)
slicer = actor.slicer(data, affine, value_range=[data.min(), data.max()])
slicer.display(None, None, 25)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(slicer)
"""
"""
# Line setup
data1 = np.array([[0, 0, 0], [1, 1, 1], [2, 2, 2.]])
data2 = data1 + np.array([0.5, 0., 0.])
data = [data1, data2]
colors = np.array([[1, 0, 0], [0, 0, 1.]])
lines = actor.line(data, colors, linewidth=5)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(lines)
"""
"""
# Scalar bar setup
lut = actor.colormap_lookup_table(
scale_range=(0., 100.), hue_range=(0., 0.1), saturation_range=(1, 1),
value_range=(1., 1))
sb_actor = actor.scalar_bar(lut, ' ')
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(sb_actor)
"""
"""
# Axes setup
axes = actor.axes()
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(axes)
"""
"""
# Peak slicer setup
_peak_dirs = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]], dtype='f4')
# peak_dirs.shape = (1, 1, 1) + peak_dirs.shape
peak_dirs = np.zeros((11, 11, 11, 3, 3))
peak_dirs[:, :, :] = _peak_dirs
peak_actor = actor.peak_slicer(peak_dirs)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(peak_actor)
"""
"""
# Dots setup
points = np.array([[0, 0, 0], [0, 1, 0], [1, 0, 0]])
dots_actor = actor.dots(points, color=(0, 255, 0))
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(dots_actor)
"""
"""
# Text3D setup
msg = 'I \nlove\n FURY'
txt_actor = actor.text_3d(msg)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(txt_actor)
"""
"""
# Figure setup
arr = (255 * np.ones((512, 212, 4))).astype('uint8')
arr[20:40, 20:40, 3] = 0
tp = actor.figure(arr)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(tp)
"""
"""
# SDF setup
centers = np.array([[2, 0, 0], [0, 2, 0], [0, 0, 0]]) * 11
colors = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
directions = np.array([[0, 1, 0], [1, 0, 0], [0, 0, 1]])
scales = [1, 2, 3]
primitive = ['sphere', 'ellipsoid', 'torus']
sdf_actor = actor.sdf(centers, directions=directions, colors=colors,
primitives=primitive, scales=scales)
material.manifest_standard(surface_actor, ambient_level=.3,
diffuse_level=.25)
scene.add(sdf_actor)
"""
# NOTE: For these last set of actors, there is not support for PBR
# interpolation at all.
"""
# Billboard setup
centers = np.array([[0, 0, 0], [5, -5, 5], [-7, 7, -7], [10, 10, 10],
[10.5, 11.5, 11.5], [12, -12, -12], [-17, 17, 17],
[-22, -22, 22]])
colors = np.array([[1, 1, 0], [0, 0, 0], [1, 0, 1], [0, 0, 1], [1, 1, 1],
[1, 0, 0], [0, 1, 0], [0, 1, 1]])
scales = [6, .4, 1.2, 1, .2, .7, 3, 2]
"""
fake_sphere = \
"""
float len = length(point);
float radius = 1.;
if (len > radius)
discard;
vec3 normalizedPoint = normalize(vec3(point.xy, sqrt(1. - len)));
vec3 direction = normalize(vec3(1., 1., 1.));
float df_1 = max(0, dot(direction, normalizedPoint));
float sf_1 = pow(df_1, 24);
fragOutput0 = vec4(max(df_1 * color, sf_1 * vec3(1)), 1);
"""
"""
billboard_actor = actor.billboard(centers, colors=colors, scales=scales,
fs_impl=fake_sphere)
material.manifest_pbr(billboard_actor)
scene.add(billboard_actor)
"""
if interactive:
window.show(scene)
def test_renderer():
ren = window.Renderer()
npt.assert_equal(ren.size(), (0, 0))
# 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_active_camera():
scene = window.Scene()
scene.add(actor.axes(scale=(1, 1, 1)))
scene.reset_camera()
scene.reset_clipping_range()
direction = scene.camera_direction()
position, focal_point, view_up = scene.get_camera()
scene.set_camera((0., 0., 1.), (0., 0., 0), view_up)
position, focal_point, view_up = scene.get_camera()
npt.assert_almost_equal(np.dot(direction, position), -1)
scene.zoom(1.5)
new_position, _, _ = scene.get_camera()
npt.assert_array_almost_equal(position, new_position)
scene.zoom(1)
# rotate around focal point
scene.azimuth(90)
position, _, _ = scene.get_camera()
npt.assert_almost_equal(position, (1.0, 0.0, 0))
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, colors=[(255, 0, 0)])
npt.assert_equal(report.colors_found, [True])
# rotate around camera's center
scene.yaw(90)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, colors=[(0, 0, 0)])
npt.assert_equal(report.colors_found, [True])
scene.yaw(-90)
scene.elevation(90)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, colors=(0, 255, 0))
npt.assert_equal(report.colors_found, [True])
scene.set_camera((0., 0., 1.), (0., 0., 0), view_up)
# vertical rotation of the camera around the focal point
scene.pitch(10)
scene.pitch(-10)
# rotate around the direction of projection
scene.roll(90)
# inverted normalized distance from focal point along the direction
# of the camera
position, _, _ = scene.get_camera()
scene.dolly(0.5)
new_position, focal_point, view_up = scene.get_camera()
npt.assert_almost_equal(position[2], 0.5 * new_position[2])
cam = scene.camera()
npt.assert_equal(new_position, cam.GetPosition())
npt.assert_equal(focal_point, cam.GetFocalPoint())
npt.assert_equal(view_up, cam.GetViewUp())
def test_ribbon(interactive=False):
scene = window.Scene()
# Testing if helices and sheets are rendered properly
atom_coords = np.array([[31.726, 105.084, 71.456],
[31.477, 105.680, 70.156],
[32.599, 106.655, 69.845],
[32.634, 107.264, 68.776],
[30.135, 106.407, 70.163],
[29.053, 105.662, 70.913],
[28.118, 106.591, 71.657],
[28.461, 107.741, 71.938],
[26.928, 106.097, 71.983],
[33.507, 106.802, 70.804],
[34.635, 107.689, 70.622],
[35.687, 107.018, 69.765],
[36.530, 107.689, 69.174],
[35.631, 105.690, 69.688],
[36.594, 104.921, 68.903],
[36.061, 104.498, 67.534],
[36.601, 103.580, 66.916],
[37.047, 103.645, 69.660],
[35.907, 102.828, 69.957],
[37.751, 104.014, 70.958]])
elements = np.array([7, 6, 6, 8, 6, 6, 6, 8, 7, 7, 6, 6, 8, 7, 6, 6, 8, 6,
8, 6])
atom_names = np.array(['N', 'CA', 'C', 'O', 'CB', 'CG', 'CD', 'OE1', 'NE2',
'N', 'CA', 'C', 'O', 'N', 'CA', 'C', 'O', 'CB',
'OG1', 'OG2'])
model = np.ones(20)
chain = np.ones(20)*65
residue_seq = np.ones(20)
residue_seq[9:13] = 2
residue_seq[13:] = 3
residue_seq[6] = 4
is_hetatm = np.zeros(20, dtype=bool)
secondary_structure = np.array([[65, 1, 65, 3]])
colors = np.array([[240/255, 0, 128/255], [1, 1, 0]])
for i, color in enumerate(colors):
if i:
helix = []
sheet = secondary_structure
else:
helix = secondary_structure
sheet = []
molecule = mol.Molecule(elements, atom_coords, atom_names, model,
residue_seq, chain, sheet, helix, is_hetatm)
test_actor = mol.ribbon(molecule)
scene.set_camera((28, 113, 74), (34, 106, 70), (-0.37, 0.29, -0.88))
scene.add(test_actor)
scene.reset_camera()
scene.reset_clipping_range()
if interactive:
window.show(scene)
npt.assert_equal(scene.GetActors().GetNumberOfItems(), 1)
arr = window.snapshot(scene)
report = window.analyze_snapshot(arr, colors=[color])
npt.assert_equal(report.objects, 1)
scene.clear()
def test_add_shader_callback():
cube = generate_cube_with_effect()
showm = window.ShowManager()
showm.scene.add(cube)
class Timer(object):
idx = 0.0
timer = Timer()
def timer_callback(obj, event):
# nonlocal timer, showm
timer.idx += 1.0
showm.render()
if timer.idx > 90:
showm.exit()
def my_cbk(_caller, _event, calldata=None):
program = calldata
if program is not None:
try:
program.SetUniformf("time", timer.idx)
except ValueError:
pass
add_shader_callback(cube, my_cbk)
showm.initialize()
showm.add_timer_callback(True, 100, timer_callback)
showm.start()
arr = window.snapshot(showm.scene, offscreen=True)
report = window.analyze_snapshot(arr)
npt.assert_equal(report.objects, 1)
cone_actor = actor.cone(np.array([[0, 0, 0]]), np.array([[0, 1, 0]]),
(0, 0, 1))
test_values = []
def callbackLow(_caller, _event, calldata=None):
program = calldata
if program is not None:
test_values.append(0)
id_observer = add_shader_callback(cone_actor, callbackLow, 0)
with pytest.raises(Exception):
add_shader_callback(cone_actor, callbackLow, priority='str')
mapper = cone_actor.GetMapper()
mapper.RemoveObserver(id_observer)
scene = window.Scene()
scene.add(cone_actor)
arr1 = window.snapshot(scene, size=(200, 200))
assert len(test_values) == 0
test_values = []
def callbackHigh(_caller, _event, calldata=None):
program = calldata
if program is not None:
test_values.append(999)
def callbackMean(_caller, _event, calldata=None):
program = calldata
if program is not None:
test_values.append(500)
add_shader_callback(cone_actor, callbackHigh, 999)
add_shader_callback(cone_actor, callbackLow, 0)
id_mean = add_shader_callback(cone_actor, callbackMean, 500)
# check the priority of each call
arr2 = window.snapshot(scene, size=(200, 200))
assert np.abs(
[test_values[0] - 999, test_values[1] - 500,
test_values[2] - 0]).sum() == 0
# check if the correct observer was removed
mapper.RemoveObserver(id_mean)
test_values = []
arr3 = window.snapshot(scene, size=(200, 200))
assert np.abs([test_values[0] - 999, test_values[1] - 0]).sum() == 0
