Crikit2

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- H5 files with problematic X- or Y- assigned scales will revert to pixel units
- Upgraded to LazyHDF5 0.3.0 nuances.
- Added option to hilbertfft to return full padded results
- Bug fixes

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- Significant performance improvement to ALS-detrending (15-50%)

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- Added more unit tests
- Performance improvements (especially related to ROI-spectra)
- Bug fix: Phantom dataset now included in pip installation

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- Added more tests
- Algorithms: KK, hilbert
- KK (class) uses less memory but at a slight decrease to speed using iteration. 'no_iter' flag to disable.
- Visualize the real part of the KK in interactive mode
- Conjugate the KK (function, class, and GUI)
- Support for spectra that are high-to-low wavenumber oriented (left-to-right)
- Auto-checks for this in the KK dialog (UI), though not in interactive mode
- Crop (or some other options) m spectra every n spectra
- In preprocess.crop
- Added GUI as well (Preprocess header) -- separate for NRB and Dark
- Updated KK GUI to incorporate edge-averaging (n_edge KK parameter)

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- Added a calculate Anscombe parameters function (calc_anscombe_parameters) to crikit.preprocess.standardize
- Added an associated GUI dialog for calculating based on NRB and Dark spectra (Preprocess>Standardize submenu)
- Note: you will need to perform Dark subtraction before performing the Anscombe transform (though the calculation of parameters can handle either scenario)
- Added unittest for calculation function (not the GUI itself)
- Added Jupyter Notebook (Calculating Anscombe Parameters.ipynb) to demonstrate use of calc_anscombe_parameters
- Added a function that will take the respective RGB images + composite and de-mosaic them into TIFFs (NIST Special > DeMosaic RGB Images)
- Fixes
- Closing Mosaic tool doesn't close CRIkit UI as well

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- New toolbar ribbon setup scheme and default
- New kkrelation and hilbertfft function
- Select axis
- Performs on N-dimensional arrays (not limited to 1- or 2D)
- Removed pyFFTW support
- Set min values
- Set value to set Inf's and NaN's
- Note: Does consume more RAM during computation (user may iteratively apply)

- New KramersKronig incorporating new kkrelation/hilbertfft features
- Does not iterate through data, which can require a lot more memory

- New padding function pad_edge_mean
- Pads along specified axis with edge values
- Edge values can be a mean of n neighboring values as well
- Now the default padding function for hilbert and kkrelation

- Tweaks and bug fixes
- Fixed sign error in PhaseErrorCorrectALS that mainly affected real part of spectra