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Models 1
Model files used by the app and the desktop builds. Not an app release.
isnet-general-use-q8.onnx: the automatic background remover.
- Weights:
isnet-general-usefrom the DIS authors (Qin et al., Highly Accurate Dichotomous Image Segmentation, ECCV 2022), https://github.com/xuebinqin/DIS, Apache-2.0. The DIS5K training dataset has its own terms of use. - ONNX conversion: rembg, https://github.com/danielgatis/rembg, MIT.
- 8-bit weight quantization:
onnxruntime.quantization.quantize_dynamic(QUInt8). - SHA-256:
1f513a69287e05c689834d7a04d10de21bd9dca43565fd5a0e962383a2d58b21
See docs/MODELS.md for the benchmark behind this choice.