Difference between revisions of "2013 Project Week Breakout Session:Slicer4Python"
From NAMIC Wiki
| Line 1: | Line 1: | ||
[[2013_Summer_Project_Week#Agenda|Back to Summer project week Agenda]] | [[2013_Summer_Project_Week#Agenda|Back to Summer project week Agenda]] | ||
| − | + | =Goals= | |
| − | Demonstrate the development of a python scripted slicer module | + | Demonstrate the development of a python scripted slicer module. Also provide "A Guide to Python in Slicer for the Casual Power User". This walkthrough of the features of slicer should give you an idea how to make a custom module that helps organize and automate your processing. This can be useful for your own research or you can create helper modules that simplify the work for users who are exploring an algorithm or working with a large set of studies. |
| − | + | ||
| − | + | =Topics= | |
| − | + | ==Creating module from template with ModuleWizard== | |
| − | + | == Configuring slicer to use the module== | |
| − | + | == Basic Development Cycle== | |
| − | + | === Edit / Reload the code=== | |
| − | + | == Develop self-tests == | |
| − | + | == Refine functionality == | |
| − | + | == Document == | |
| − | + | = Package as extension = | |
| − | + | = The hard parts = | |
| − | + | == building the GUI == | |
| − | + | == finding the right slicer class/calls to implement what you want == | |
| − | + | == debugging == | |
| − | + | == optimizing performance == | |
| − | + | = Special Topics = | |
| − | + | == The slicer architecture == | |
| − | + | === the qSlicerApplication === | |
| − | + | === the vtkSlicerApplicationLogic=== | |
| − | + | === the vtkMRMLScene=== | |
| − | + | === slicer.modules=== | |
| − | + | === slicer.util=== | |
| + | == Manipulating the slicer session via python == | ||
| + | == Working with python modules that are not bundled with slicer's binary distribution == | ||
Revision as of 14:48, 12 June 2013
Home < 2013 Project Week Breakout Session:Slicer4PythonBack to Summer project week Agenda
Goals
Demonstrate the development of a python scripted slicer module. Also provide "A Guide to Python in Slicer for the Casual Power User". This walkthrough of the features of slicer should give you an idea how to make a custom module that helps organize and automate your processing. This can be useful for your own research or you can create helper modules that simplify the work for users who are exploring an algorithm or working with a large set of studies.
