lllyasviel / lllyasviel/ControlNet
The scribble model dataset
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- Dominant language
- Python
- Stars
- 34.1k
- Forks
- 3k
- PR merge metrics
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Description
"First of all, thank you very much for your excellent code. The scribble model was trained on 500,000 scribble-image and caption pairs. The scribble images were generated using HED boundary detection along with a set of data augmentations, including thresholds, masking, morphological transformations, and non-maximum suppression. May I ask if it is possible to make the processed dataset public? Thank you very much!"
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 files, tests, or entry points are named. Start by reviewing the scribble model's dataset-generation context, including HED boundary detection and the listed augmentations, then determine whether the processed dataset can be made public. Done means a documented decision or an available dataset location.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100