New image alignment function
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- computer-vision
Research direction
Start by reviewing the existing alignment routines in sunkit-image and the reporter's Python implementation for temporally local image frames. Clarify the intended API and integration with the project's style before proceeding. Done means the new alignment function is integrated into the alignment suite and handles sequences with large scene changes.
Written by the indexing model from the issue text.
Description
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
- Dominant language
- Python
- Stars
- 39
- Forks
- 50
- Avg merge
- 15h 27m
- Merged PRs (30d)
- 3
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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