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License: Other
Match coordinate lists.
License: Other
Astroalign find_transform takes both coordinate lists and images as input, while Aafitrans find_transform will only accept coordinate lists. This has to be clearly conveyed and the function should throw an appropriate error message if anyone tries to give images as input.
find_transform function with ttype='similarity'
or ttype='euclidean'
will fail or provide unexpected results in cases where there is a flip in the coordinate lists. This is due to the Umeyama algorithm for estimating similarity and Euclidean transformations. It will avoid any solution that requires reflection.
I have only tested the following scikit-image
transforms:
'euclidean'
'similarity'
'affine'
The remaining transform types are not tested.
find_transform raises the following error on coordinate lists having duplicates.
ValueError: Encountering floating point overflow. The value of p too large for this dataset; For such large p, consider using the special case p=np.inf .
Provide Astroalign article link https://doi.org/10.1016/j.ascom.2020.100384 in the README.
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