models from undowngraded data
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- Dominant language
- Python
- Stars
- 3
- Forks
- 1
- Avg merge
- 1m
- Merged PRs (30d)
- 1
Description
pre-downgrading the data is kind of annoying and has potential issues, such as ringing from the edge and worrying about consistency of sims with the undowngraded data. this would incur a penalty but only at model-building time, which seems OK.
it also causes the production of sims on downgraded geometries, which is confusing to the end user. this would naturally solve that (at the possible penalty of disk-space usage). alternatively, inpainting white noise would solve this for pre-downgraded data too.
Contributor guide
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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
Review the model-building and simulation workflow to determine where downgraded data and geometries are introduced. Compare building models from undowngraded data with the stated inpainting alternative, including the consistency, ringing, disk-space, and performance trade-offs. Done means the selected approach produces simulations on undowngraded geometries with its costs understood.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100