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@tommfr38 tommfr38 released this 22 Oct 13:57
· 7 commits to main since this release

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-use from 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.