v4.51.3-SAM-HQ-preview
📦 transformersView on GitHub →
✨ 5 features🔧 2 symbols
Summary
This release introduces a preview of SAM-HQ, an enhancement to the Segment Anything Model that provides higher quality segmentation masks with minimal additional parameters.
Migration Steps
- Install the preview version using: pip install git+https://github.com/huggingface/transformers@v4.51.3-SAM-HQ-preview
✨ New Features
- Introduction of SAM-HQ (High-Quality Segment Anything Model) for improved mask prediction quality.
- High-Quality Output Token injected into the mask decoder for fine-grained segmentation.
- Global-local Feature Fusion combining early and final ViT features with mask-decoder features.
- Support for predicting high-quality masks using 2D points and/or bounding boxes.
- Ability to process custom segmentation maps alongside input images in the processor.
🔧 Affected Symbols
SamHQModelSamHQProcessor