Project-MONAI / Project-MONAI/tutorials
Question about condition embedding in the MAISI project
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 2.5k
- Forks
- 803
- Avg merge
- 6d 22h
- Merged PRs (30d)
- 3
Description
Hello,
First of all, thank you for sharing this amazing open-source project! I have a question regarding the diff_model_train script in the scripts folder. Specifically, I noticed that the spacing and top_region_index values are multiplied by 100. Could you please explain the reasoning behind this?
Thank you for your time and help!
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
Start by locating the diff_model_train script in the scripts folder and reading the MAISI condition-embedding setup around spacing and top_region_index. Trace where those values are prepared and consumed, then document the reason for the multiplication by 100 and confirm the explanation against the relevant training behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, pytorch
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100