InsightSoftwareConsortium / InsightSoftwareConsortium/ITKSphinxExamples
Expand "Optimizersv4" Documentation
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- Jupyter Notebook
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- 1d 15h
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Description
Possible classes to highlight:
- [`GradientDescentOptimizerv4`](https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Numerics/Optimizersv4/include/itkGradientDescentOptimizerv4.h)
- [`LBFGSBOptimizerv4`](https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Numerics/Optimizersv4/include/itkLBFGSBOptimizerv4.h)
- [`RegistrationParameterScalesFromPhysicalShift`](https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Numerics/Optimizersv4/include/itkRegistrationParameterScalesFromPhysicalShift.h)
- [`RegistrationParameterScalesFromIndexShift`](https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Numerics/Optimizersv4/include/itkRegistrationParameterScalesFromIndexShift.h)
Could be demonstrated independently as with [Amoeba Optimizer](https://examples.itk.org/src/numerics/optimizers/amoebaoptimizer/documentation) or in the context of registration as in [PlotExhaustiveOptimizer](https://examples.itk.org/src/numerics/optimizers/exhaustiveoptimizer/plotexhaustiveoptimizer).
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the linked Optimizersv4 headers and the Amoeba Optimizer and PlotExhaustiveOptimizer example documentation. Determine how the four listed classes should be demonstrated independently or within registration examples. Done means the Optimizersv4 documentation includes useful examples covering the proposed classes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100