Documentation/Nightly/Developers/FAQ/Python Scripting

For the latest Slicer documentation, visit the read-the-docs.

Python Scripting

How to run pip ?

The pip executable is not distributed, instead the following command should be used:

• from build tree: /path/to/Slicer-SuperBuild/python-install/bin/PythonSlicer -m pip ...
• from install tree:

 * Linux/MacOS: /path/to/Slicer-X.Y.Z-plat-arch/bin/PythonSlicer -m pip ...
 * Windows: "c:\Program Files\Slicer 4.10.0\bin\PythonSlicer.exe" -m pip ...

See this discussion for more details and background: https://discourse.slicer.org/t/slicer-python-packages-use-and-install/984/29.

How to access a scripted module from python scripts

All slicer modules are accessible in the slicer.modules namespace. For example, sampledata module can be accessed as slicer.modules.sampledata.

To access a module's widget, use widgetRepresentation() method to get the C++ base class and its self() method to get the Python class. For example, slicer.modules.sampledata.widgetRepresentation().self() returns the Python widget object of sampledata module.

How to systematically execute custom python code at startup ?

Each time Slicer starts, it will look up for a startup script file named .slicerrc.py in your HOME folder. Content of this file is executed automatically at each startup of Slicer.

You can find the path to the startup script in Slicer by opening in the menu: Edit / Application Settings. Application startup script path is shown in the General section.

The default name and location of the file can be overridden by setting an environment variable named SLICERRC that contains full path of a Python file.

How to save an image/volume using python ?

The module slicer.util provides methods allowing to save either a node or an entire scene:

• saveNode
• saveScene

For more details see:

• https://github.com/Slicer/Slicer/blob/master/Base/Python/slicer/util.py#L229-267
• https://github.com/Slicer/Slicer/blob/master/Base/Python/slicer/tests/test_slicer_util_save.py

Enable or disable compression while saving a volume

While volumes can be accessed in Slicer Python modules as vtkMRMLVolumeNode, compression preference (or any other property for that matter) should be passed to slicer.util.saveNode function. The property will be passed to Slicer's storage node. For compression set the useCompression to 0 or 1. Example script:

properties = {'useCompression': 0}; #do not compress
file_path = os.path.join(case_dir, file_name)
slicer.util.saveNode(node, file_path, properties)

How to assign a volume to a Slice view ?

Assuming the MRHead sample data has been loaded, you could do the following:

red_logic = slicer.app.layoutManager().sliceWidget("Red").sliceLogic()
red_cn = red_logic.GetSliceCompositeNode()
red_logic.GetSliceCompositeNode().SetBackgroundVolumeID(slicer.util.getNode('MRHead').GetID())

Discussion: http://slicer-devel.65872.n3.nabble.com/Assign-volumes-to-views-tt4028694.html

How to access vtkRenderer in Slicer 3D view ?

renderer = slicer.app.layoutManager().threeDWidget(0).threeDView().renderWindow().GetRenderers().GetFirstRenderer()

How to get VTK rendering backend ?

backend = slicer.app.layoutManager().threeDWidget(0).threeDView().renderWindow().GetRenderingBackend()

How to access displayable manager associated with a Slicer 2D or 3D view ?

As originally explained here, you could use the method getDisplayableManagers() available in any qMRMLThreeDView and qMRMLSliceView.

lm = slicer.app.layoutManager()
for v in range(lm.threeDViewCount):
  td = lm.threeDWidget(v)
  ms = vtk.vtkCollection()
  td.getDisplayableManagers(ms)
  for i in range(ms.GetNumberOfItems()):
   m = ms.GetItemAsObject(i)
   if m.GetClassName() == "vtkMRMLModelDisplayableManager":
     print(m)

How to center the 3D view on the scene ?

layoutManager = slicer.app.layoutManager()
threeDWidget = layoutManager.threeDWidget(0)
threeDView = threeDWidget.threeDView()
threeDView.resetFocalPoint()

Should I use 'old style' or 'new style' python classes in my scripted module ?

When python classes have no superclass specified they are 'old style' as described here [1].

In general it doesn't matter for the classes in a scripted module, since they won't be subclassed either old or new style should be the same.

For other python code in slicer where you might be subclassing, it's better to use new style classes. See the class hierarchies in the EditorLib and the DICOMLib for examples.

How to harden a transform ?

>>> n = getNode('Bone')
>>> logic = slicer.vtkSlicerTransformLogic()
>>> logic.hardenTransform(n)

Discussion: http://slicer-devel.65872.n3.nabble.com/Scripting-hardened-transforms-tt4029456.html

Where can I find example scripts?

Have a look at Documentation/Nightly/ScriptRepository.

How can I use a visual debugger for step-by-step debugging

Debugging using PyCharm or PyDev

Visual debugging (setting breakpoints, execute code step-by-step, view variables, stack, etc.) of Python scripted module is possible by using PyCharm or PyDev by using the Python debugger module Debugging tools extension.

See detailed instructions at the Debugging tools extension page.

Visual debugging of Python modules in Slicer

Debugging using Visual Studio

On Windows, Python Tools for Visual Studio (PTVS) enables debugging Python inside Visual Studio. Its remote debugging capability allows attaching the debugger to Slicer's embedded Python environment.

See Debugging Python in Visual Studio for details.

Debugging using remote-pdb

A command line debugging session with a pdb interface can be achieved with python-remote-pdb.

Install python-remote-pdb into Slicer's Python:

 git clone https://github.com/ionelmc/python-remote-pdb.git
 cd python-remote-pdb
 /path/to/Slicer-build/Slicer-build/Slicer ./setup.py install

Then, call set_trace() where you want to start the debugger.

 from remote_pdb import set_trace; set_trace()

In the console where Slicer was started, a message like the following will be printed:

 RemotePdb session open at 127.0.0.1:1234, waiting for connection

In another terminal, connect with telnet:

 telnet 127.0.0.1 1234

or socat (has history, readline support):

 socat readline tcp:127.0.0.1:1234

Why can't I access my C++ Qt class from python

• Python wrapping of a Qt class requires a Qt style constructor with QObject as argument (it can be defaulted to null though), which is public. If one of these are missing, python wrapping will fail for that class
• You cannot access your custom C++ Qt classes from python outside of the scope of your instantiated python class. These will not work:

BarIDRole = slicer.qFooItemDelegate.LastRole + 1

class BarTableWidget(qt.QTableWidget, VTKObservationMixin):

    def __init__(self, *args, **kwargs):
        [...]

class BarTableWidget(qt.QTableWidget, VTKObservationMixin):

    BarIDRole = slicer.qFooItemDelegate.LastRole + 1

    def __init__(self, *args, **kwargs):
        [...]

Instead, do:

class BarTableWidget(qt.QTableWidget, VTKObservationMixin):

    def __init__(self, *args, **kwargs):
        self.BarIDRole = slicer.qFooItemDelegate.LastRole + 1
        [...]

• [Other reasons go here]

Can I use factory method like CreateNodeByClass or GetNodesByClass ?

See Documentation/Nightly/Developers/Tutorials/MemoryManagement#Factory_methods

How can I access callData argument in a VTK object observer callback function

To get notification about an event emitted by a VTK object you can simply use the AddObserver method, for example:

def sceneModifiedCallback(caller, eventId):
  print("Scene modified")
  print("There are {0} nodes in the scene". format(slicer.mrmlScene.GetNumberOfNodes()))

sceneModifiedObserverTag = slicer.mrmlScene.AddObserver(vtk.vtkCommand.ModifiedEvent, sceneModifiedCallback)

If an event also contains additional information as CallData then the type of this argument has to be specified as well, for example:

@vtk.calldata_type(vtk.VTK_OBJECT)
def nodeAddedCallback(caller, eventId, callData):
  print("Node added")
  print("New node: {0}".format(callData.GetName()))

nodeAddedModifiedObserverTag = slicer.mrmlScene.AddObserver(slicer.vtkMRMLScene.NodeAddedEvent, nodeAddedCallback)

Note: @vtk.calldata_type is a Python decorator, which modifies properties of a function that is declared right after the decorator. The decorator is defined in VTK (in Wrapping\Python\vtk\util\misc.py).

Note: The available types are listed in Wrapping\Python\vtkmodules\util\vtkConstants.py.

Usage from a class requires an extra step of creating the callback in the class __init__ function, as Python2 by default does some extra wrapping (http://stackoverflow.com/questions/9523370/adding-attributes-to-instance-methods-in-python):

class MyClass:
  def __init__(self):
    from functools import partial
    def nodeAddedCallback(self, caller, eventId, callData):
      print("Node added")
      print("New node: {0}".format(callData.GetName()))
    self.nodeAddedCallback = partial(nodeAddedCallback, self)
    self.nodeAddedCallback.CallDataType = vtk.VTK_OBJECT
  def registerCallbacks(self):
    self.nodeAddedModifiedObserverTag = slicer.mrmlScene.AddObserver(slicer.vtkMRMLScene.NodeAddedEvent, self.nodeAddedCallback)
  def unregisterCallbacks(self):
    slicer.mrmlScene.RemoveObserver(self.nodeAddedModifiedObserverTag)
        
myObject = MyClass()
myObject.registerCallbacks()

Allowed CallDataType values: VTK_STRING, VTK_OBJECT, VTK_INT, VTK_LONG, VTK_DOUBLE, VTK_FLOAT, "string0". See more information here: https://github.com/Kitware/VTK/blob/master/Wrapping/PythonCore/vtkPythonCommand.cxx

For a simplified syntax, see #How_to_manage_VTK_object_connections_.3F

How to manage VTK object connections ?

The VTKObservationMixin is a Python mix-in that allows adding a set of methods to a class by inheritance. It includes the following methods defined in Base/Python/slicer/util.py:

• addObserver
• hasObserver
• observer
• removeObserver
• removeObservers

The following illustrates how to observe the slicer.vtkMRMLScene.NodeAddedEvent:

from slicer.util import VTKObservationMixin

class MyClass(VTKObservationMixin):
  def __init__(self):
    VTKObservationMixin.__init__(self)
    self.addObserver(slicer.mrmlScene, slicer.vtkMRMLScene.NodeAddedEvent, self.nodeAddedCallback)
  
  @vtk.calldata_type(vtk.VTK_OBJECT)
  def nodeAddedCallback(self, caller, eventId, callData):
    print("Node added")
    print("New node: {0}".format(callData.GetName()))

myObject = MyClass()

For additional examples of usage, see test_slicer_util_VTKObservationMixin.py

Slicer crashes if I try to access a non-existing item in an array

For example, this code makes Slicer crash:

s = vtk.vtkStringArray()
s.GetValue(0)

This behavior is expected, as all VTK objects are implemented in C++ that offers much faster operation but developers have to take care of addressing only valid array elements, for example by checking the number of elements in the array:

if itemIndex < 0 or itemIndex >= s.GetNumberOfValues()
  raise IndexError("index out of bounds")

How to run CLI module from Python?

See here.

How can I run slicer operations from a batch script?

Slicer --no-main-window --python-script /tmp/test.py

Contents of /tmp/test.py

# use a slicer scripted module logic
from SampleData import SampleDataLogic
SampleDataLogic().downloadMRHead()
head = slicer.util.getNode('MRHead')

# use a vtk class
threshold = vtk.vtkImageThreshold()
threshold.SetInputData(head.GetImageData())
threshold.ThresholdBetween(100, 200)
threshold.SetInValue(255)
threshold.SetOutValue(0)

#  use a slicer-specific C++ class
erode = slicer.vtkImageErode()
erode.SetInputConnection(threshold.GetOutputPort())
erode.SetNeighborTo4()  
erode.Update()          

head.SetAndObserveImageData(erode.GetOutputDataObject(0))

slicer.util.saveNode(head, "/tmp/eroded.nrrd")

exit()

How can I run Slicer on a headless compute node?

Many cluster nodes are installed with minimal linux systems that don't include X servers. X servers, particularly those with hardware acceleration traditionally needed to be installed with root privileges, making it impossible to run applications that rendered using X or OpenGL.

But there is a workaround which allows everything in slicer to work normally so you could even do headless rendering.

You can use a modern version of X that supports running a dummy framebuffer. This can be installed in user mode so you don't even need to have root on the system.

See [2] for details.

There's a thread here with more discussion: [3]

Here is a working example of the approach running on a headless compute node running CTK tests (which also use Qt and VTK)

[4]

How to save user's selection of parameters and nodes in the scene?

It is preferable to save all the parameter values and nodes selections that the user made on the user interface into the MRML scene. This allows the user to load a scene and continue from where he left off. These information can be saved in a slicer.vtkMRMLScriptedModuleNode() node.

For example:

parameterNode=slicer.vtkMRMLScriptedModuleNode()

# Save parameter values and node references to parameter node

alpha = 5.0
beta = "abc"
inputNode = slicer.util.getNode("InputNode")

parameterNode.SetParameter("Alpha",str(alpha))
parameterNode.SetParameter("Beta", beta)
parameterNode.SetNodeReferenceID("InputNode", inputNode.GetID())

# Retrieve parameter values and node references from parameter node

alpha = float(parameterNode.GetParameter("Alpha"))
beta = parameterNode.GetParameter("Beta")
inputNode = parameterNode.GetNodeReference("InputNode")

Scripted module's logic class have a helper function, getParameterNode, which returns a parameter node that is unique for a specific module. The function creates the parameter node if it has not been created yet. By default, the parameter node is a singleton node, which means that there is only a single instance of the node in the scene. If it is preferable to allow multiple instances of the parameter node, set isSingletonParameterNode member of the logic object to False.

How to load a UI file ?

See Documentation/Nightly/Developers/Tutorials/PythonAndUIFile

How to update progress bar in scripted (Python, or other) CLI modules

As detailed in the Execution Model documentation, Slicer parses specifically-formatted XML commands printed on stdout, to allow any out-of-process CLI program to report progress back to the main Slicer application (which will causing the progress bar to update). However, it is very important to note that the output must be flushed after each print statement, or else Slicer will not parse the progress sections until the process ends. See the calls to

sys.stdout.flush()

in the example Python CLI shown below:

#!/usr/bin/env python-real

if __name__ == '__main__':
  import time
  import sys
  
  print("""<filter-start><filter-name>TestFilter</filter-name><filter-comment>ibid</filter-comment></filter-start>""")
  sys.stdout.flush()

  for i in range(0,10):
      print("""<filter-progress>{}</filter-progress>""".format(i/10.0))
      sys.stdout.flush()
      time.sleep(0.5)

  print("""<filter-end><filter-name>TestFilter</filter-name><filter-time>10</filter-time></filter-end>""")
  sys.stdout.flush()

How to run Python script using a non-Slicer Python environment

If you need to run Python scripts using not Slicer's embedded interpreter but using a different environment (Python3, Anaconda, etc.) then you need to run the Python executable using a default startup environment. Starting from Slicer's environment would cause loading of Slicer's Python libraries, which are expected to be binary incompatible with the external environment and therefore would make the external application crash.

Example of running python code using system Python3 in Linux from Slicer:

command_line = ["/usr/bin/python3", "-c", "print('hola')"]
from subprocess import check_output
command_result = check_output(command_line, env=slicer.util.startupEnvironment())
print(command_result)

This example script just prints 'hola' and exits, but the code can be replaced by more complex instructions or launching of a Python script.

Example of running python code using Anaconda using environment named 'workspace-gpu' on Windows from Slicer:

command_line = [r"c:\Users\msliv\Miniconda3\envs\workspace-gpu\python.exe", "-c", "print('hola')"]
from subprocess import check_output
command_result = check_output(command_line, env=slicer.util.startupEnvironment())
print(command_result)