Scikit-ued

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* Fixed an issue where :func:`gaussian` would trip on a full-width at half-maximum of 0.
* Fixed an issue where the first stage of the dual-tree complex wavelet transform was not shifted properly (36).

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* Releases are now automatically performed using Github Actions
* It is now possible to install all the dependencies required to use :func:`diffshow` using the following installation option: ``pip install scikit-ued[diffshow]``.

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* Increased the reliability of :func:`bragg_peaks` to distinguish between noise and Bragg peaks.

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* Added the function :func:`bragg_peaks` to determine the location of single-crystal diffraction peaks in an image.
* Fixed deprecation warnings regarding NumPy's dtypes.

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* Improved :func:`autocenter` for diffraction patterns with large Ewald sphere walkoff.
* :func:`diffread` now supports NumPy's ``*.npy`` format.
* Speedup of all routines that use the Fast Fourier transform (:func:`autocenter`, :func:`align`, :func:`ialign`, :func:`itrack_peak`, and :func:`kinematicsim`) by 50%.

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* Added the :func:`autocenter` routine, to automatically find the center of diffraction patterns. This works for both single-crystal and polycrystalline patterns.
* `Support for Python 3.6 and NumPy<1.17 has been dropped <https://numpy.org/neps/nep-0029-deprecation_policy.html>`_