lllyasviel / lllyasviel/ControlNet
About dataset
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 34.1k
- Forks
- 3k
- PR merge metrics
- No merged PRs in 30d
Description
Should I follow the following steps to preprocess my dataset with images of varying sizes:
1. Resize the image to the same size, such as 512 * 512
2. After resizing, input the image into the annotator to generate control img
3. Save the resized image and control img as training data
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 named in the issue. Start by locating any existing dataset-preparation or annotator documentation, then verify whether it explains resizing, control-image generation, and training-data storage. Done means the supported preprocessing sequence and image-size requirements are documented clearly.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100