lhk229
08378e57f8
Add AnimeSegSegmenter (skytnt/anime-seg ISNet ONNX via onnxruntime, no remote
code) and a make_segmenter factory selected by SegmentationSettings.backend
("birefnet" | "anime-seg"). The ONNX output is already 0..1, so it slots into the
same soft-mask interface BiRefNetSegmenter uses.
On the anime samples anime-seg recovers more and more-coherent hair wisps than
BiRefNet (TestImage2 shoulder rescue: added px 1886 -> 3278, largest connected
component 147 -> 454), as expected from an anime-trained model. Default backend
stays birefnet.
Adds onnxruntime to requirements.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
21 lines
180 B
Plaintext
21 lines
180 B
Plaintext
opencv-python
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pillow
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numpy
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scipy
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scikit-image
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pymatting
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torch
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torchvision
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transformers
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accelerate
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safetensors
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huggingface_hub
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timm
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einops
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kornia
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onnxruntime
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tqdm
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typer
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rich
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PyYAML
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