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I would like to add to the suite of alignment routines that sunpy offers, bringing in a function that will align data based on series of temporally local image frames. This leads to more robust alignment of image sequences, especially if there is large changes in the scene over the sequence.
I brought this up in the google group a while back.
I have this implemented in python, but would be willing to re-write to fit in with the sunpy style.
This is may first attempt at submitting to a project like this, so would appreciate some guidance on how to contribute.
Description
The text was updated successfully, but these errors were encountered:
To start off, I think we can keep it simple. If you can fork the sunpy repository and add the code to either an existing file (coalignment.py maybe?) or new file under this location: https://github.com/sunpy/sunpy/tree/master/sunpy/image file.
You can commit that and open the pull request and we can go from there.
The sunpy style is a simple script that checks for basic python PEP8 issues, otherwise it will need a test but that is all we can work on the pull request.
If you need any thing else, please don't hesitate to ask here!
I would like to add to the suite of alignment routines that sunpy offers, bringing in a function that will align data based on series of temporally local image frames. This leads to more robust alignment of image sequences, especially if there is large changes in the scene over the sequence.
I brought this up in the google group a while back.
I have this implemented in python, but would be willing to re-write to fit in with the sunpy style.
This is may first attempt at submitting to a project like this, so would appreciate some guidance on how to contribute.
Description
The text was updated successfully, but these errors were encountered: