cellcanvas / cellcanvas/cellcanvas-prototype
Features for first release
- Dominant language
- Python
- Stars
- 12
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
This issue is to discuss the minimal features before our first "public" release (i.e., release where would be comfortable sharing with a broad audience).
- [x] Able to load custom embeddings (https://github.com/cellcanvas/cellcanvas/issues/3)
- [ ] Simple docs with example workflows
- [ ] sample data plugin so people can just get up and running to test on a small section of an image
- [ ] segmentation works well for both membranes and particles
- [ ] ability to store and load trained segmentation models (#37 )
- [x] ability to export segmentation as meshes and point annotations (star file? https://github.com/cellcanvas/cellcanvas/issues/27)
- [x] pip install (https://github.com/cellcanvas/cellcanvas/issues/13)
- [ ] separate model and view (#44 )
The broader goals and scope of CellCanvas can be discussed here: https://github.com/cellcanvas/cellcanvas/issues/24
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the broader scope in issue #24 and review the linked items (#3, #37, #27, #13, and #44) alongside each unchecked checklist entry. No file or test entry point is named; completion requires agreed, independently verifiable work for the listed documentation, sample data, segmentation, model storage, and model/view goals.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100