NOTICE — Document dewarping — UVDoc (ONNX, PaddleX export)
Model id: doc-dewarp-uvdoc (v1)   Redistributed by MokshX Pvt Ltd as a downloadable component of Moksh PDF Editor.

Authors / copyright: Floor Verhoeven, Tanguy Magne, Olga Sorkine-Hornung — "UVDoc: Neural Grid-based Document Unwarping", SIGGRAPH Asia 2023; trained & exported by PaddlePaddle (PaddleX)
Licence: Apache-2.0
Licence text: https://huggingface.co/PaddlePaddle/UVDoc_onnx
Upstream: https://huggingface.co/PaddlePaddle/UVDoc_onnx
Source repository: https://github.com/tanguymagne/UVDoc

Licence evidence recorded at publish time:
  - HF model card tag: license:apache-2.0 (PaddlePaddle/UVDoc_onnx — weights trained/exported by PaddleX)
  - Original UVDoc code+model (tanguymagne/UVDoc) LICENSE: "MIT License" / "Copyright (c) 2023 Tanguy MAGNE" — https://raw.githubusercontent.com/tanguymagne/UVDoc/main/LICENSE
  - PaddleX repo LICENSE: Apache License, Version 2.0 ("Apache License / Version 2.0, January 2004 / http://www.apache.org/licenses/") — https://raw.githubusercontent.com/PaddlePaddle/PaddleX/develop/LICENSE

Files (SHA-256):
  54cab30dc2cf347b4f3d6971c833b1c3d84f5ef17280f1f6d15796bff20e63d6  inference.onnx  (31684150 bytes)
  be83d537b358f3ff87740e77e14a83ee9e9a7bb215c33d091b69e8bd5904fe39  inference.yml  (330 bytes)  [config]

Licensed under the Apache License, Version 2.0 (the "License"); you may not use these files 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. See the License for the specific language governing permissions and limitations under the License.
These weights are redistributed unmodified except where noted (e.g. a character dictionary extracted verbatim from the upstream inference.yml).

Notes: Preprocessing confirmed from PaddleX paddlex/inference/models/image_unwarping/predictor.py: ReadImage(BGR) → Normalize(mean 0, std 1, scale 1/255) → ToCHW.

Generated 2026-10-09 by scripts/publish-models.mjs