Add OptiMix model files, model card and licences

LICENSE

@@ -0,0 +1,623 @@
+Licence texts for the third-party models mirrored in this repository.
+
+================================================================
+GFPGAN (TencentARC) - Apache-2.0
+Source: https://raw.githubusercontent.com/TencentARC/GFPGAN/master/LICENSE
+================================================================
+Tencent is pleased to support the open source community by making GFPGAN available.
+
+Copyright (C) 2021 THL A29 Limited, a Tencent company.  All rights reserved.
+
+GFPGAN is licensed under the Apache License Version 2.0 except for the third-party components listed below.
+
+
+Terms of the Apache License Version 2.0:
+---------------------------------------------
+Apache License
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+Version 2.0, January 2004
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+http://www.apache.org/licenses/
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+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+Other  dependencies and licenses:
+
+
+Open Source Software licensed under the Apache 2.0 license and Other Licenses of the Third-Party Components therein:
+---------------------------------------------
+1. basicsr
+Copyright 2018-2020 BasicSR Authors
+
+
+This BasicSR project is released under the Apache 2.0 license.
+
+A copy of Apache 2.0 is included in this file.
+
+StyleGAN2
+The codes are modified from the repository stylegan2-pytorch. Many thanks to the author - Kim Seonghyeon 😊 for translating from the official TensorFlow codes to PyTorch ones. Here is the license of stylegan2-pytorch.
+The official repository is https://github.com/NVlabs/stylegan2, and here is the NVIDIA license.
+DFDNet
+The codes are largely modified from the repository DFDNet. Their license is Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+Terms of the Nvidia License:
+---------------------------------------------
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+5. Limitation of Liability.
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+EXCEPT AS PROHIBITED BY APPLICABLE LAW, IN NO EVENT AND UNDER NO LEGAL
+THEORY, WHETHER IN TORT (INCLUDING NEGLIGENCE), CONTRACT, OR OTHERWISE
+SHALL ANY LICENSOR BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY DIRECT,
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+LOST PROFITS OR DATA, COMPUTER FAILURE OR MALFUNCTION, OR ANY OTHER
+COMMERCIAL DAMAGES OR LOSSES), EVEN IF THE LICENSOR HAS BEEN ADVISED OF
+THE POSSIBILITY OF SUCH DAMAGES.
+
+MIT License
+
+Copyright (c) 2019 Kim Seonghyeon
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
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+SOFTWARE.
+
+
+
+Open Source Software licensed under the BSD 3-Clause license:
+---------------------------------------------
+1. torchvision
+Copyright (c) Soumith Chintala 2016,
+All rights reserved.
+
+2. torch
+Copyright (c) 2016-     Facebook, Inc            (Adam Paszke)
+Copyright (c) 2014-     Facebook, Inc            (Soumith Chintala)
+Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
+Copyright (c) 2012-2014 Deepmind Technologies    (Koray Kavukcuoglu)
+Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
+Copyright (c) 2011-2013 NYU                      (Clement Farabet)
+Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
+Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
+Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)
+
+
+Terms of the BSD 3-Clause License:
+---------------------------------------------
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
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+
+
+
+Open Source Software licensed under the BSD 3-Clause License and Other Licenses of the Third-Party Components therein:
+---------------------------------------------
+1. numpy
+Copyright (c) 2005-2020, NumPy Developers.
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+A copy of BSD 3-Clause License is included in this file.
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+License: MIT
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+
+
+
+Open Source Software licensed under the MIT license:
+---------------------------------------------
+1. facexlib
+Copyright (c) 2020 Xintao Wang
+
+2. opencv-python
+Copyright (c) Olli-Pekka Heinisuo
+Please note that only files in cv2 package are used.
+
+
+Terms of the MIT License:
+---------------------------------------------
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+
+
+Open Source Software licensed under the MIT license and Other Licenses of the Third-Party Components therein:
+---------------------------------------------
+1. tqdm
+Copyright (c) 2013 noamraph
+
+`tqdm` is a product of collaborative work.
+Unless otherwise stated, all authors (see commit logs) retain copyright
+for their respective work, and release the work under the MIT licence
+(text below).
+
+Exceptions or notable authors are listed below
+in reverse chronological order:
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+* files: *
+  MPLv2.0 2015-2020 (c) Casper da Costa-Luis
+  [casperdcl](https://github.com/casperdcl).
+* files: tqdm/_tqdm.py
+  MIT 2016 (c) [PR #96] on behalf of Google Inc.
+* files: tqdm/_tqdm.py setup.py README.rst MANIFEST.in .gitignore
+  MIT 2013 (c) Noam Yorav-Raphael, original author.
+
+[PR #96]: https://github.com/tqdm/tqdm/pull/96
+
+
+Mozilla Public Licence (MPL) v. 2.0 - Exhibit A
+-----------------------------------------------
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+This Source Code Form is subject to the terms of the
+Mozilla Public License, v. 2.0.
+If a copy of the MPL was not distributed with this file,
+You can obtain one at https://mozilla.org/MPL/2.0/.
+
+
+MIT License (MIT)
+-----------------
+
+Copyright (c) 2013 noamraph
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of
+this software and associated documentation files (the "Software"), to deal in
+the Software without restriction, including without limitation the rights to
+use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
+the Software, and to permit persons to whom the Software is furnished to do so,
+subject to the following conditions:
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+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
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+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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+COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
+IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
+CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+================================================================
+Real-ESRGAN (xinntao) - BSD-3-Clause
+Source: https://raw.githubusercontent.com/xinntao/Real-ESRGAN/master/LICENSE
+================================================================
+BSD 3-Clause License
+
+Copyright (c) 2021, Xintao Wang
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
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+3. Neither the name of the copyright holder nor the names of its
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+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+================================================================
+U-2-Net (xuebinqin) - Apache-2.0
+Source: https://raw.githubusercontent.com/xuebinqin/U-2-Net/master/LICENSE
+================================================================
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+   1. Definitions.
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+SOFTWARE.

README.md

@@ -0,0 +1,56 @@
+---
+license: other
+license_name: mixed-apache-2.0-bsd-3-clause
+license_link: LICENSE
+library_name: onnx
+pipeline_tag: image-to-image
+tags:
+- onnx
+- gfpgan
+- real-esrgan
+- u2net
+- face-restoration
+- super-resolution
+- background-removal
+- on-device
+---
+
+# OptiMix models
+
+ONNX model files downloaded on first use by the OptiMix Android app (`com.momoapps.optimix`, MomoApps).
+Every file is a mirror or a derivative of third-party open-source weights. All credit goes to the original authors listed below.
+Each file keeps its upstream licence. This repository adds no new licence terms.
+
+Pin a commit in your download URL (`/resolve/<commit>/<file>`) and verify the SHA-256 before loading.
+
+## Files
+
+| File | Size (bytes) | SHA-256 | Model | Upstream source | Licence |
+|---|---|---|---|---|---|
+| `gfpgan-v1.4-int8.onnx` | 85,567,123 | `9771b4b4eb9568d4458bbee4ebb59ef9380827a6f91a5814603b08bf356db91b` | GFPGAN v1.4, weight-only INT8 (default enhancer) | Built by MomoApps from the official `GFPGANv1.4.pth` ([TencentARC/GFPGAN release v1.3.0](https://github.com/TencentARC/GFPGAN/releases/tag/v1.3.0), `params_ema`) exported with the clean `GFPGANv1Clean` architecture (tag v1.3.4), then per-channel INT8-quantised (weights only, including the StyleGAN modulated-conv kernels). | Apache-2.0, © TencentARC (Xintao Wang et al.) |
+| `gfpgan-v1.4.onnx` | 170,362,246 | `6b12e9428c2a0983b2726604f09c4eec9e2e250370c79946a31b139f9befc1ea` | GFPGAN v1.4, fp16 weights / fp32 I/O (HD option) | Unmodified copy of `gfpgan14-fp16.onnx` from [sidkonduru/gfpgan-v1.4-onnx](https://huggingface.co/sidkonduru/gfpgan-v1.4-onnx) (commit `3777aaa98f90f704884e977670d8abfc15ede03f`), a conversion of the official TencentARC `GFPGANv1.4.pth` | Apache-2.0, © TencentARC (Xintao Wang et al.) |
+| `realesr-general-x4v3.onnx` | 4,866,420 | `7b10e80021ec3e0ff35017ae5022791879d93a799b2e201e1010a37510202266` | Real-ESRGAN general x4v3 (SRVGGNetCompact), fp32 | Unmodified copy of `onnx/model.onnx` from [vlad-grig/realesr-general-x4v3-onnx](https://huggingface.co/vlad-grig/realesr-general-x4v3-onnx) (commit `0e95d93e454cf6b5de9bdf5a1c9e7ec340d38231`), an export of the official `realesr-general-x4v3.pth` from [xinntao/Real-ESRGAN release v0.2.5.0](https://github.com/xinntao/Real-ESRGAN/releases/tag/v0.2.5.0) | BSD-3-Clause, © 2021 Xintao Wang |
+| `u2netp.onnx` | 4,574,861 | `309c8469258dda742793dce0ebea8e6dd393174f89934733ecc8b14c76f4ddd8` | U²-Netp (small) salient-object matte (default background model) | Unmodified copy of `u2netp.onnx` from [danielgatis/rembg release v0.0.0](https://github.com/danielgatis/rembg/releases/tag/v0.0.0) (rembg is MIT), converted from the weights of [xuebinqin/U-2-Net](https://github.com/xuebinqin/U-2-Net) | Apache-2.0, © Xuebin Qin et al. |
+| `u2net.onnx` | 175,997,641 | `8d10d2f3bb75ae3b6d527c77944fc5e7dcd94b29809d47a739a7a728a912b491` | U²-Net (full) salient-object matte (HD option) | Unmodified copy of `u2net.onnx` from [danielgatis/rembg release v0.0.0](https://github.com/danielgatis/rembg/releases/tag/v0.0.0) (rembg is MIT), converted from the weights of [xuebinqin/U-2-Net](https://github.com/xuebinqin/U-2-Net) | Apache-2.0, © Xuebin Qin et al. |
+
+## Input and output contracts
+
+- **GFPGAN (both files):** input `input`, float32 `[1,3,512,512]` RGB in −1..1 (one aligned face crop). Output `output`, the same shape and range.
+- **Real-ESRGAN general x4v3:** input `input`, float32 `[1,3,H,W]` RGB in 0..1, with dynamic H and W. Output `output`, `[1,3,4H,4W]`. Clamp the output to 0..1.
+- **U²-Net / U²-Netp:** input `input.1`, float32 `[1,3,320,320]` RGB, with ImageNet normalisation applied after dividing by the peak pixel. The first output is the matte.
+
+## Training data note: FFHQ
+
+GFPGAN was trained on the [FFHQ](https://github.com/NVlabs/ffhq-dataset) face dataset. FFHQ's images are published under a
+**non-commercial** dataset licence (Creative Commons BY-NC-SA 4.0 for the dataset compilation, plus per-image licences).
+The GFPGAN code and weights are released under Apache-2.0. Whether the dataset's terms carry over to the trained weights is legally unsettled.
+Commercial users of the GFPGAN files should make their own assessment.
+
+## Attribution and citations
+
+- GFPGAN: Xintao Wang, Yu Li, Honglun Zhang, Ying Shan. *Towards Real-World Blind Face Restoration with Generative Facial Prior.* CVPR 2021. https://github.com/TencentARC/GFPGAN (Apache-2.0)
+- Real-ESRGAN: Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan. *Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data.* ICCVW 2021. https://github.com/xinntao/Real-ESRGAN (BSD-3-Clause)
+- U²-Net: Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaiane, Martin Jagersand. *U²-Net: Going Deeper with Nested U-Structure for Salient Object Detection.* Pattern Recognition 2020. https://github.com/xuebinqin/U-2-Net (Apache-2.0)
+- ONNX conversions: rembg by Daniel Gatis (MIT), sidkonduru/gfpgan-v1.4-onnx, vlad-grig/realesr-general-x4v3-onnx.
+
+See `LICENSE` for the full licence texts.

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