lllyasviel / lllyasviel/ControlNet
Cropping vs. Letterboxing for training sets
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Description
How are other people dealing with training sets that are landscape images?
- Anyone have luck with just letterboxing? Does transparent letterboxing work?
- Center crop - easy but losing a lot of information...
- Crop left + crop right + crop center - not sure if this would generate too much redundant training images.
- Smart crop - anyone know of a good library for non-face/non-people images?
Just all around curious what others have had success with.
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Research direction
The issue discusses landscape training images and compares letterboxing, transparent padding, center and multi-position crops, and smart cropping. No files, tests, implementation entry point, or completion criterion are provided; first seek clarification on whether a concrete preprocessing feature is wanted and how success should be evaluated.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100