[1.0.0] Focal and texture
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
Start with the listed sources in xrspatial/{focal,edge_detection,bilateral,glcm}.py and compare their public surface with the README feature matrix. Review the dark-corner decisions in #2930, then run the stated accuracy deep sweep and assess security, performance, and API consistency. Done means the checklist is cleared with no CRITICAL or HIGH findings and the notebook example exists.
Written by the indexing model from the issue text.
Description
1.0.0 readiness: Focal and texture
Area: Analysis Functions: mean, sobel_x/y, prewitt_x/y, laplacian, bilateral, glcm_texture
Source: xrspatial/{focal,edge_detection,bilateral,glcm}.py
Scope
- Public surface frozen against the README feature matrix
- Dark-corner decisions resolved (see #2930)
Sweep clearance, no CRITICAL or HIGH (accuracy and security first)
- Accuracy
/deep-sweep xrspatial/focal.py - Security
- Performance
- API consistency
Last swept: none yet
Examples
- Notebook example
- (optional) standalone script
Linked bug issues
none yet
- Dominant language
- Python
- Stars
- 972
- Forks
- 92
- Avg merge
- 2d 12h
- Merged PRs (30d)
- 7
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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