Difference between revisions of "2008 Winter Project Week:PythonSupport"
From NAMIC Wiki
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* Python command line modules (advantages: easy to write, access to Python libraries, don't need a compiler to write new modules) | * Python command line modules (advantages: easy to write, access to Python libraries, don't need a compiler to write new modules) | ||
* matplotlib and scipy Python modules (they provide a matlab-like processing environment for images directly within Slicer). | * matplotlib and scipy Python modules (they provide a matlab-like processing environment for images directly within Slicer). | ||
− | * Python as Slicer's scripting language (for automating | + | * Python as Slicer's scripting language (for automating tasks, programmatically access modules - this is Dan's new baby! - enabling staged processing) |
</div> | </div> | ||
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* solve building issues, check stability on different platforms | * solve building issues, check stability on different platforms | ||
* threading issues: modifying the MRML scene from Python command line modules in a thread-safe way | * threading issues: modifying the MRML scene from Python command line modules in a thread-safe way | ||
− | * calling modules from Python | + | * stabilize calling modules from Python, write example on staged processing |
* provide a Python equivalent to ScriptedModules | * provide a Python equivalent to ScriptedModules | ||
* define what aspects will end up in the next release | * define what aspects will end up in the next release | ||
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Later on, after the meeting | Later on, after the meeting | ||
− | * command line parsing has been completed ( | + | * command line parsing has been completed |
− | * | + | * Python scripting and Python modules have been made independent of Numpy |
+ | * Python command line modules are now run in the main thread (allows interaction with MRML scene) | ||
+ | * a set of Python command line modules has been written | ||
</div> | </div> |
Revision as of 21:24, 6 January 2008
Home < 2008 Winter Project Week:PythonSupport
Key Investigators
- Mario Negri Institute: Luca Antiga
- UCSD: Bryan Smith
Objective
Python has a great potential in Slicer3. Its uses span:
- Python command line modules (advantages: easy to write, access to Python libraries, don't need a compiler to write new modules)
- matplotlib and scipy Python modules (they provide a matlab-like processing environment for images directly within Slicer).
- Python as Slicer's scripting language (for automating tasks, programmatically access modules - this is Dan's new baby! - enabling staged processing)
Approach, Plan
In the project week, we plan to
- solve building issues, check stability on different platforms
- threading issues: modifying the MRML scene from Python command line modules in a thread-safe way
- stabilize calling modules from Python, write example on staged processing
- provide a Python equivalent to ScriptedModules
- define what aspects will end up in the next release
- propose a working set of Python command line modules (interact with Sonia's breakout session on Tuesday?) to be included in the next release
- write documentation on how to write Python command line modules
Progress
June 2007 Project Week
These are the results of the MIT project week (largely Dan's work)
- Implemented Python Modules
- Add search for Python in ModuleFactory
- Can put .py files in the CommandLine Module path
- Execute Python within Slicer
- Full access to VTK, vtkTEEM, vtkITK, etc.
- If the Python module provides an XML description, and an Execute function, will be added as a CommandLine Module
- Add search for Python in ModuleFactory
- ToDo
- Check-in (needs USE_PYTHON guards)
- Progress reporting
- Simplify the API
- Automate command line parsing using XML description
Later on, after the meeting
- command line parsing has been completed
- Python scripting and Python modules have been made independent of Numpy
- Python command line modules are now run in the main thread (allows interaction with MRML scene)
- a set of Python command line modules has been written