dimensionalOS / dimensionalOS/dimos
VQA Generation for Semantic Perception - use mem2 new perception stuff
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.5k
- Forks
- 808
- Avg merge
- 3d 5h
- Merged PRs (30d)
- 233
Description
Synced from DIM-1525 by stash
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
The issue names no repository files, tests, or entry point. Start by reviewing the linked DIM-1525 specification, then locate the relevant semantic-perception and VQA components in the repository. The work is complete only when that specification provides explicit implementation and validation criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100