[Future Requirement] Spatial stitching diagnostics/correction of multiple images.
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1
- Forks
- 3
- Avg merge
- 2d 11h
- Merged PRs (30d)
- 17
Description
Note that it's basically a same thing as image feature detection/alignment
Executive summary
Spatial stitching of multiple images.
Context and background knowledge
Odin will have multiple detectors facing different space
Inputs
Multiple images of different space.
Methodology
It might have to either correct/diagnose the overlapping region of images or interpolate the gap between images.
Outputs
Corrected single image containing multiple images from different spaces.
Which interfaces are required?
Python module / function
Test cases
Not provided yet.
Comments
It's not priority yet.
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.
Research direction
No implementation files, entry points, or test cases are identified; start by locating the Python image feature detection or alignment code, if present. Clarify whether the goal is overlap correction, diagnostics, or gap interpolation, and define tests for producing one corrected image from multiple detector images.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100