cellcanvas / cellcanvas/cellcanvas-prototype

Features for first release

Open
#26 8 comments 0 reactions 0 assignees View on GitHub
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

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