MIC-DKFZ / MIC-DKFZ/nnInteractive
prompt
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 493
- Forks
- 59
- PR merge metrics
- No merged PRs in 30d
Description
Hello, I would like to know specifically how you leverage multiple prompts to guide the segmentation, and how these different prompts coordinate with each other to achieve the best performance. Could you also explain how the prompts are obtained in both the training and testing stages? Thank you.
Contributor guide
No contributing guide indexed for this repository
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 file, test, or entry point is identified in the issue. Start by reviewing the repository's existing documentation and prompt-related implementation, then trace how prompts are obtained during training and testing and how multiple prompts coordinate. Done means documenting that workflow clearly, including the role of each prompt and their interaction during segmentation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100