# VTK =< 8
from vtk.vtkImagingCore import vtkRTAnalyticSource
# Use VTK to get some data
data_source = vtkRTAnalyticSource()
data_source.Update() # <= Execute source to produce an output
dataset = data_source.GetOutput()
# Use helper to get a volume structure that can be passed as-is to a Volume
volume_state = to_volume_state(dataset) # No need to select field
content = dash_vtk.View([
dash_vtk.VolumeRepresentation([
# GUI to control Volume Rendering
# + Setup good default at startup
dash_vtk.VolumeController(),
# Actual volume
dash_vtk.Volume(state=volume_state),
]),
])
# Dash setup
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div(
style={
"width": "100%",
"height": "400px"
},
children=[content],
# Use helper to get a volume structure that can be passed as-is to a Volume
volume_state = to_volume_state(dataset) # No need to select field
content = dash_vtk.View([
dash_vtk.VolumeRepresentation([
# GUI to control Volume Rendering
# + Setup good default at startup
dash_vtk.VolumeController(),
# Actual volume
dash_vtk.ShareDataSet([
dash_vtk.Volume(state=volume_state),
]),
]),
dash_vtk.SliceRepresentation(iSlice=10,
children=[
dash_vtk.ShareDataSet(),
]),
dash_vtk.SliceRepresentation(jSlice=10,
children=[
dash_vtk.ShareDataSet(),
]),
dash_vtk.SliceRepresentation(kSlice=10,
children=[
dash_vtk.ShareDataSet(),
]),
])
# Dash setup
app = dash.Dash(__name__)
server = app.server
vtk_view = dash_vtk.View(
id="vtk-view",
children=[
dash_vtk.GeometryRepresentation(
id="vtk-representation",
children=[
dash_vtk.PolyData(
id="vtk-polydata",
points=points,
polys=polys,
children=[
dash_vtk.PointData([
dash_vtk.DataArray(
id="vtk-array",
registration="setScalars",
name="elevation",
values=elevation,
)
])
],
)
],
colorMapPreset="erdc_blue2green_muted",
colorDataRange=color_range,
property={
"edgeVisibility": True,
},
)
],
)
content = dash_vtk.View(
[
dash_vtk.VolumeRepresentation(
[
dash_vtk.VolumeController(),
dash_vtk.ShareDataSet(
[
dash_vtk.ImageData(
dimensions=[10, 10, 10],
spacing=[1, 1, 1],
origin=[-4, -4, -4],
children=[
dash_vtk.PointData(
[
dash_vtk.DataArray(
registration="setScalars", values=field,
)
]
)
],
),
]
),
]
),
dash_vtk.SliceRepresentation(
property={"colorWindow": 500, "colorLevel": 200},
iSlice=5,
children=[dash_vtk.ShareDataSet()],
),
]
)
content = dash_vtk.View([
dash_vtk.GeometryRepresentation(
children=[
dash_vtk.PolyData(
points=[
0,0,0,
1,0,0,
0,1,0,
1,1,0,
],
lines=[3, 1, 3, 2],
polys=[3, 0, 1, 2],
children=[
dash_vtk.PointData([
dash_vtk.DataArray(
#registration='setScalars', # To activate field
name='onPoints',
values=[0, 0.33, 0.66, 1],
)
]),
dash_vtk.CellData([
dash_vtk.DataArray(
# registration='setScalars', # To activate field
name='onCells',
values=[0, 1],
)
])
],
),
],
),
])
import vtk
# Data file path
demo_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
head_vti = os.path.join(demo_dir, "data", "head.vti")
# Load dataset from dist
reader = vtk.vtkXMLImageDataReader()
reader.SetFileName(head_vti)
reader.Update()
volume_state = to_volume_state(reader.GetOutput())
vtk_view = dash_vtk.View(
dash_vtk.VolumeRepresentation(children=[
dash_vtk.VolumeController(),
dash_vtk.Volume(state=volume_state),
]))
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div(
style={
"height": "calc(100vh - 16px)",
"width": "100%"
},
children=[html.Div(vtk_view, style={
"height": "100%",
"width": "100%"
})],
import dash_vtk
from dash_vtk.utils import to_mesh_state
from vtk.vtkImagingCore import vtkRTAnalyticSource
# Use VTK to get some data
data_source = vtkRTAnalyticSource()
data_source.Update() # <= Execute source to produce an output
dataset = data_source.GetOutput()
# Use helper to get a mesh structure that can be passed as-is to a Mesh
# RTData is the name of the field
mesh_state = to_mesh_state(dataset)
content = dash_vtk.View([
dash_vtk.GeometryRepresentation([dash_vtk.Mesh(state=mesh_state)]),
])
# Dash setup
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div(
style={
"width": "100%",
"height": "calc(100vh - 15px)"
},
children=[content],
)
if __name__ == "__main__":
slice_property = {"colorWindow": 4095, "colorLevel": 1000}
slice_view = dash_vtk.View(
id="slice-view",
cameraPosition=[1, 0, 0],
cameraViewUp=[0, 0, -1],
cameraParallelProjection=False,
background=[0.9, 0.9, 1],
children=[
dash_vtk.ShareDataSet(dash_vtk.Volume(state=volume_state)),
dash_vtk.SliceRepresentation(
id="slice-repr-i",
iSlice=128,
property=slice_property,
children=dash_vtk.ShareDataSet(),
),
dash_vtk.SliceRepresentation(
id="slice-repr-j",
jSlice=128,
property=slice_property,
children=dash_vtk.ShareDataSet(),
),
dash_vtk.SliceRepresentation(
id="slice-repr-k",
kSlice=47,
property=slice_property,
children=dash_vtk.ShareDataSet(),
),
],
)
volume_view = dash_vtk.View(
def initial_loading(geometry):
triggered = dash.callback_context.triggered
if triggered:
return dash.no_update
return dash_vtk.View(id="vtk-view", children=vehicle_vtk + isosurfs_vtk)
import dash_vtk
content = dash_vtk.View([
dash_vtk.GeometryRepresentation(
mapper={
'colorByArrayName': 'layer',
'scalarMode': 4,
'interpolateScalarsBeforeMapping': False,
},
colorMapPreset="jet",
colorDataRange=[0.2, 0.9],
children=[
dash_vtk.Algorithm(
vtkClass="vtkConcentricCylinderSource",
state={
'height': 0.25,
'radius': [0.2, 0.3, 0.4, 0.6, 0.7, 0.8, 0.9, 1],
'cellFields': [0, 0.2, 0.4, 0.6, 0.7, 0.8, 0.9, 1],
'mask': [1, 0, 1, 0, 1, 0, 1, 1],
'resolution': 60,
'skipInnerFaces': True,
'startTheta': 45,
'endTheta': 315,
'center': [0, 0, 0.5],
},
),
]),
])
# Dash setup
app = dash.Dash(__name__)
points = dataset.points[selection]
xyz = points.ravel()
elevation = points[:, -1].ravel()
min_elevation = np.amin(elevation)
max_elevation = np.amax(elevation)
print(f"Number of points: {points.shape}")
print(f"Elevation range: [{min_elevation}, {max_elevation}]")
# Setup VTK rendering of PointCloud
app = dash.Dash(__name__)
server = app.server
vtk_view = dash_vtk.View([
dash_vtk.PointCloudRepresentation(
xyz=xyz,
scalars=elevation,
colorDataRange=[min_elevation, max_elevation],
property={"pointSize": 2},
)
])
app.layout = html.Div(
style={"height": "calc(100vh - 16px)"},
children=[html.Div(vtk_view, style={
"height": "100%",
"width": "100%"
})],
)
if __name__ == "__main__":
app.run_server(debug=True)
import dash_core_components as dcc
from dash.dependencies import Input, Output, State
random.seed(42)
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server
vtk_view = dash_vtk.View(
id="geometry-view",
children=[
dash_vtk.GeometryRepresentation([
dash_vtk.Algorithm(
id="vtk-algorithm",
vtkClass="vtkConeSource",
state={
"capping": False,
"resolution": 60
},
)
])
],
)
controls = dbc.Card([
dbc.CardHeader("Controls"),
dbc.CardBody([
html.P("Resolution:"),
dcc.Slider(
id="slider-resolution",
min=10,
"value": 1
}],
switch=True,
value=[1])
],
width=4),
dbc.Col([
html.Div(
html.Div(style={
"width": "100%",
"height": "100%"
},
children=[
dash_vtk.View(
id=f'{APP_ID}_geom_rep',
children=None,
pickingModes=['hover'],
),
]),
style={"height": "100%"},
),
html.Div(id=f'{APP_ID}_hover_info')
]),
]),
],
fluid=True,
style={"height": "75vh"},
)
def add_dash(app):
slice_property = {"colorWindow": 4095, "colorLevel": 1000}
slice_view = dash_vtk.View(
id="slice-view",
cameraPosition=[1, 0, 0],
cameraViewUp=[0, 0, -1],
cameraParallelProjection=False,
background=[0.9, 0.9, 1],
children=[
dash_vtk.ShareDataSet(dash_vtk.Volume(state=volume_state)),
dash_vtk.SliceRepresentation(
id="slice-repr-i",
iSlice=128,
property=slice_property,
children=dash_vtk.ShareDataSet(),
),
dash_vtk.SliceRepresentation(
id="slice-repr-j",
jSlice=128,
property=slice_property,
children=dash_vtk.ShareDataSet(),
),
dash_vtk.SliceRepresentation(
id="slice-repr-k",
kSlice=47,
property=slice_property,
children=dash_vtk.ShareDataSet(),
),
],
)
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
import dash_core_components as dcc
import dash_html_components as html
import vtk
import dash_vtk
from dash_vtk.utils import to_mesh_state
reader = vtk.vtkXMLUnstructuredGridReader()
reader.SetFileName("./data/flow_pyevtk.vtu")
reader.Update() # Needed because of GetScalarRange
output = reader.GetOutput()
mesh_state = to_mesh_state(reader.GetOutput())
vtk_view = dash_vtk.View(
id="vtk-view",
children=[
dash_vtk.GeometryRepresentation(
children=[dash_vtk.Mesh(state=mesh_state)], )
],
)
app = dash.Dash(__name__, external_stylesheets=[])
app.layout = html.Div(
style={
"height": "calc(100vh - 16px)",
"width": "100%"
},
children=[html.Div(vtk_view, style={
"height": "100%",
"width": "100%"
})],
)
import dash
import random
import dash_html_components as html
import dash_vtk
field = [random.random() * i for i in range(10 * 10 * 10)]
content = dash_vtk.View([
dash_vtk.VolumeRepresentation([
dash_vtk.VolumeController(),
dash_vtk.ImageData(
dimensions=[10, 10, 10],
spacing=[1, 1, 1],
origin=[-4, -4, -4],
children=[
dash_vtk.PointData([
dash_vtk.DataArray(
registration="setScalars",
values=field,
)
])
],
),
]),
])
# Dash setup
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div(
style={
import dash
import dash_html_components as html
import dash_vtk
content = dash_vtk.View([
dash_vtk.VolumeRepresentation([
# GUI to control Volume Rendering
# + Setup good default at startup
dash_vtk.VolumeController(),
# Actual Imagedata
dash_vtk.ImageData(
dimensions=[5, 5, 5],
origin=[-2, -2, -2],
spacing=[1, 1, 1],
children=[
dash_vtk.PointData([
dash_vtk.DataArray(
registration="setScalars",
values=list(range(5*5*5)),
)
])
],
),
]),
])
# Dash setup
app = dash.Dash(__name__)
server = app.server
vtk_view = dash_vtk.View(
id="vtk-view",
pickingModes=["hover"],
children=[
dash_vtk.GeometryRepresentation(
id="vtk-representation",
children=[
dash_vtk.PolyData(
id="vtk-polydata",
points=points,
polys=polys,
children=[
dash_vtk.PointData([
dash_vtk.DataArray(
id="vtk-array",
registration="setScalars",
name="elevation",
values=elevation,
)
])
],
)
],
colorMapPreset="erdc_blue2green_muted",
colorDataRange=color_range,
property={"edgeVisibility": True},
showCubeAxes=True,
cubeAxesStyle={"axisLabels": ["", "", "Altitude"]},
),
dash_vtk.GeometryRepresentation(
id="pick-rep",
actor={"visibility": False},
children=[
dash_vtk.Algorithm(
id="pick-sphere",
vtkClass="vtkSphereSource",
state={"radius": 100},
)
],
),
],
)
import dash
import dash_vtk
import dash_html_components as html
from dash.dependencies import Input, Output
# Get it here: https://github.com/plotly/dash-vtk/blob/master/demos/data/cow-nonormals.obj
with open("datasets/cow-nonormals.obj", 'r') as file:
txt_content = file.read()
view = dash_vtk.View(
id="click-info-view",
pickingModes=["click"],
children=[
dash_vtk.GeometryRepresentation(id="cow-geometry", children=[
dash_vtk.Reader(
vtkClass="vtkOBJReader",
parseAsText=txt_content,
),
]),
],
)
# Dash setup
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div([
html.Div(view, style={"width": "100%", "height": "300px"}),
html.B("Output of clickInfo (try clicking on the object above):"),
html.Pre(
id="click-info-output",
import dash
import dash_html_components as html
import dash_vtk
content = dash_vtk.View(
[
dash_vtk.GeometryRepresentation(
children=[
dash_vtk.PolyData(
points=[0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0,],
lines=[3, 1, 3, 2],
polys=[3, 0, 1, 2],
),
],
),
]
)
# Dash setup
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div(
style={"width": "100%", "height": "calc(100vh - 15px)"}, children=[content],
)
if __name__ == "__main__":
app.run_server(debug=True)
def dcm_to_volume(dir_path):
itk_image = itk.imread(dir_path)
vtk_image = itk.vtk_image_from_image(itk_image)
volume_state = to_volume_state(vtk_image)
return volume_state
# Place a DICOM series (a set of per-file slices) in a directory. ITK sorts, sets spatial metadata, etc.
demo_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
volume_state = dcm_to_volume(os.path.join(demo_dir, "data", "mri_pancreas"))
app = dash.Dash(__name__)
server = app.server
vtk_view = dash_vtk.View(
dash_vtk.VolumeRepresentation(
[dash_vtk.VolumeController(), dash_vtk.Volume(state=volume_state)]
)
)
app.layout = html.Div(
style={"height": "calc(100vh - 50px)", "width": "100%"},
children=[html.Div(style={"height": "100%", "width": "100%"}, children=vtk_view)],
)
if __name__ == "__main__":
app.run_server(debug=True)
import dash
import dash_html_components as html
import dash_vtk
import random
xyz = []
for i in range(10000):
xyz.append(random.random()) # x
xyz.append(random.random()) # y
xyz.append(random.random() * 0.01) # z
content = dash_vtk.View(children=[
dash_vtk.GeometryRepresentation(
property={'pointSize': 3},
children=[dash_vtk.PolyData(points=xyz, connectivity='points')],
),
], )
# Dash setup
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div(
style={
"width": "100%",
"height": "calc(100vh - 15px)"
},
children=[content],
)
if __name__ == "__main__":
dbc.Label("Color Level"),
dcc.Slider(
min=0.01,
max=1,
value=0.5,
step=0.01,
id="color-level",
tooltip={},
),
]),
CustomSlider(data=fd.x, id="slider-slice-i", label="Slice i"),
CustomSlider(data=fd.y, id="slider-slice-j", label="Slice j"),
CustomSlider(data=fd.z, id="slider-slice-k", label="Slice k"),
]
vtk_view = dash_vtk.View(id="vtk-view")
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server # gunicorn needs this for deployment
app.layout = dbc.Container(
fluid=True,
style={"height": "100vh"},
children=[
Header("Flow Visualization with FLORIS and VTK", app),
html.Hr(),
dbc.Row([
dbc.Col(
width=4,
children=dbc.Card([
dbc.CardHeader("Controls"),
# Data file path
files = [
'cow-nonormals.obj', 'pumpkin_tall_10k.obj', 'teapot.obj', 'teddy.obj'
]
root_repo_path = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
obj_file = os.path.join(root_repo_path, "demos", "data", files[0])
txt_content = None
with open(obj_file, 'r') as file:
txt_content = file.read()
content = dash_vtk.View([
dash_vtk.GeometryRepresentation([
dash_vtk.Reader(
vtkClass="vtkOBJReader",
parseAsText=txt_content,
),
]),
])
# Dash setup
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div(
style={
"width": "100%",
"height": "calc(100vh - 15px)"
},
children=[content],
)
vtk_view = dash_vtk.View(
id="vtk-view",
children=[
dash_vtk.GeometryRepresentation(
id="bike-rep",
children=[dash_vtk.Mesh(
id="bike",
state=viz.getBikeMesh(),
)],
),
dash_vtk.GeometryRepresentation(
id="tubes-rep",
colorMapPreset="erdc_rainbow_bright",
colorDataRange=viz.getColorRange(),
children=[
dash_vtk.Mesh(
id="tubes-mesh",
state=viz.getTubesMesh("p"),
)
],
),
dash_vtk.GeometryRepresentation(
id="seed-rep",
property={
"color": [0.8, 0, 0],
"representation": 0,
"pointSize": 8,
},
children=[
dash_vtk.Algorithm(
id="seed-line",
vtkClass="vtkLineSource",
state=viz.getSeedState(),
)
],
),
],
)
import random
import dash
import dash_vtk
import dash_html_components as html
random.seed(42)
app = dash.Dash(__name__)
server = app.server
volume_view = dash_vtk.View(children=dash_vtk.VolumeDataRepresentation(
spacing=[1, 1, 1],
dimensions=[10, 10, 10],
origin=[0, 0, 0],
scalars=[random.random() for _ in range(1000)],
rescaleColorMap=False,
))
app.layout = html.Div(
style={"height": "calc(100vh - 16px)"},
children=[
html.Div(children=volume_view,
style={
"height": "100%",
"width": "100%"
})
],
)
if __name__ == "__main__":
import dash_vtk
content = dash_vtk.View([
dash_vtk.GeometryRepresentation(
mapper={
"colorByArrayName": "layer",
"scalarMode": 4,
"interpolateScalarsBeforeMapping": False,
},
colorMapPreset="jet",
colorDataRange=[0.2, 0.9],
children=[
dash_vtk.Algorithm(
vtkClass="vtkConcentricCylinderSource",
state={
"height": 0.25,
"radius": [0.2, 0.3, 0.4, 0.6, 0.7, 0.8, 0.9, 1],
"cellFields": [0, 0.2, 0.4, 0.6, 0.7, 0.8, 0.9, 1],
"mask": [1, 0, 1, 0, 1, 0, 1, 1],
"resolution": 60,
"skipInnerFaces": True,
"startTheta": 45,
"endTheta": 315,
"center": [0, 0, 0.5],
},
),
],
),
])
# Dash setup
repo_path = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
head_vti = os.path.join(repo_path, 'demos', 'data', 'head.vti')
# Load dataset from dist
reader = vtk.vtkXMLImageDataReader()
reader.SetFileName(head_vti)
reader.Update()
# Get mesh to dash_vtk
volume_state = to_volume_state(reader.GetOutput())
content = dash_vtk.View([
dash_vtk.VolumeRepresentation(
[dash_vtk.VolumeController(),
dash_vtk.Volume(state=volume_state)]),
])
# Dash setup
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div(
style={
"width": "100%",
"height": "calc(100vh - 15px)"
},
children=[content],
)
if __name__ == "__main__":
id=f"{surf_name}-rep",
property={"color": [1, 0, 0]},
actor={"visibility": 0},
children=[dash_vtk.Mesh(
id=f"{surf_name}-mesh",
state=mesh,
)],
)
isosurfs_vtk.append(child)
# -----------------------------------------------------------------------------
# 3D Viz
# -----------------------------------------------------------------------------
vtk_view = dash_vtk.View(id="vtk-view", children=vehicle_vtk + isosurfs_vtk)
# -----------------------------------------------------------------------------
# Control UI
# -----------------------------------------------------------------------------
controls = [
dbc.Card([
dbc.CardHeader("Geometry"),
dbc.CardBody([
dcc.Checklist(
id="geometry",
options=[
{
"label": " body",
"value": "body"
colorDataRange=[0, 100],
mapper={"scalarVisibility": False},
children=[dash_vtk.Mesh(state=mesh, )],
)
vehicle_vtk.append(child)
cone_pointer = dash_vtk.GeometryRepresentation(
property={"color": [1, 0, 0]},
children=[dash_vtk.Algorithm(id="pointer", vtkClass="vtkConeSource")])
# -----------------------------------------------------------------------------
# 3D Viz
# -----------------------------------------------------------------------------
vtk_view = dash_vtk.View(id="vtk-view",
pickingModes=['hover'],
children=vehicle_vtk + [cone_pointer])
# -----------------------------------------------------------------------------
# App UI
# -----------------------------------------------------------------------------
app.layout = dbc.Container(
fluid=True,
children=[
dbc.Row(
[
dbc.Col(
width=6,
children=[
html.H2("Vehicle Geometry with OpenFOAM"),