U^2-Netp segmentation model — NOTICE
====================================

File: u2netp.onnx

This machine-learning model is used by WunderPaint for local, in-browser
background removal and subject selection. Inference runs entirely on the
client via onnxruntime-web; no image data is transmitted to any server.

Model
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U^2-Net / U^2-Netp ("U-square Net"), the portable (small) variant.

Original work:
  "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection"
  Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaiane,
  Martin Jagersand. Pattern Recognition, 2020.
  Project: https://github.com/xuebinqin/U-2-Net

License
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Apache License, Version 2.0. A copy of the license is provided alongside this
notice in APACHE-2.0.txt.

  Licensed under the Apache License, Version 2.0 (the "License"); you may not
  use this file except in compliance with the License. You may obtain a copy
  of the License at http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

Compatibility
-------------
WunderPaint is licensed GPL-2.0-OR-LATER. The Apache License 2.0 is
compatible with GPL version 3, so this component is redistributed under the
GPLv3 permitted by the "or later" clause.
