mtfyun/rapidocr
1
0 Fork 0
mirror of https://github.com/RapidAI/RapidOCR.git synced 2026-11-10 13:03:58 +08:00
Code Issues Packages Projects Releases Wiki Activity

feat(models): add multilingual model routing and licensing metadata. (issue #739)

Browse Source
This commit is contained in:
SWHL authored and GitHub committed 2026-09-08 10:37:44 +08:00
1 parent 09f4e3b185
commit 4a3070f304
4 files changed
+387 -2
Download Patch File Download Diff File Expand all files Collapse all files

No files matched your search

python/LICENSE
+203
View File
@@ -0,0 +1,203 @@
Copyright (c) 2021 RapidOCR Authors. All rights reserved.
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright (c) 2021 RapidAI. All rights reserved.
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.
See the License for the specific language governing permissions and
limitations under the License.
python/MODEL_LICENSES.md
+162
View File
@@ -0,0 +1,162 @@
# RapidOCR Model License and Attribution Notice
This document records the license, copyright attribution, provenance, and
redistribution requirements for OCR model artifacts distributed by RapidOCR.
It does not replace or modify the Apache License, Version 2.0.
## 1. Separate licensed works
RapidOCR contains two separately copyrighted categories of work:
1. **Source code and engineering components.** Copyright is held by the
RapidOCR Authors. These components are licensed under the Apache License,
Version 2.0, as described in the RapidOCR project `LICENSE` file.
2. **OCR model artifacts.** Copyright in the upstream model weights is held by
Baidu and/or the applicable PaddleOCR rights holders. RapidOCR does not
claim ownership of the upstream model weights.
Both categories are distributed under the Apache License, Version 2.0, but
their copyright ownership and provenance remain separate.
## 2. Scope of this notice
This notice applies to the model artifacts listed in Section 6. Other model
artifacts available through RapidOCR may have different upstream versions or
terms and must be reviewed against their own source records before being
redistributed.
This notice does not automatically cover third-party models, datasets, fonts,
sample images, inference runtimes, or other assets that are not derived from
official PaddleOCR models. Those works remain subject to their own applicable
terms.
## 3. Upstream attribution and licensing evidence
The models in Section 6 are released by, or derived from models released by,
the PaddleOCR project. PaddleOCR is released under the Apache License, Version
2.0. Official PaddlePaddle model cards identify the PP-OCRv6 model weights and
ONNX representations as `Apache-2.0`. PaddleOCR's official model list
identifies the legacy text angle classification model and its official
distribution source.
Upstream references:
- PaddleOCR project: <https://github.com/PaddlePaddle/PaddleOCR>
- PaddleOCR license: <https://github.com/PaddlePaddle/PaddleOCR/blob/main/LICENSE>
- PaddleOCR model list: <https://github.com/PaddlePaddle/PaddleOCR/blob/main/docs/version3.x/model_list.md>
- PaddleOCR ONNX conversion documentation: <https://paddlepaddle.github.io/PaddleOCR/latest/en/version3.x/inference_deployment/others/obtaining_onnx_models.html>
- Official PP-OCRv6 small detection ONNX model card: <https://huggingface.co/PaddlePaddle/PP-OCRv6_small_det_onnx>
- Official PP-OCRv6 small recognition ONNX model card: <https://huggingface.co/PaddlePaddle/PP-OCRv6_small_rec_onnx>
- Official legacy text angle classification model list: <https://github.com/PaddlePaddle/PaddleOCR/blob/main/docs/version2.x/ppocr/model_list.en.md>
The legacy `ch_ppocr_mobile_v2.0_cls` model predates the official Hugging Face
model hosting and is identified through PaddleOCR's official model list and
model download service.
## 4. Applicable license
The model artifacts in Section 6 are made available under the Apache License,
Version 2.0 (`Apache-2.0`). The complete license text is available at
<https://www.apache.org/licenses/LICENSE-2.0>.
Subject to the conditions of Apache-2.0, the license permits use,
reproduction, modification, preparation of derivative works, public display,
sublicensing, and distribution in source or object form. These permissions are
not restricted to non-commercial use.
The license applies only to rights that the relevant licensors are authorized
to grant. No additional model-specific restriction has been identified for the
PaddleOCR-derived artifacts covered by this notice.
## 5. Converted model artifacts
RapidOCR converts or repackages upstream PaddleOCR inference models for use
with supported inference engines. These conversions are mechanical
transformations of the model representation. Conversion does not transfer
ownership of the upstream weights to RapidOCR and does not remove the upstream
copyright or attribution.
RapidOCR distributes the converted artifacts in Section 6 under the same
Apache-2.0 terms that apply to the corresponding upstream PaddleOCR models. The
conversion and packaging scripts, configuration, and RapidOCR-authored
metadata are separately copyrighted by the RapidOCR Authors and licensed under
Apache-2.0 as part of the RapidOCR source code.
A RapidOCR-converted artifact may not be byte-for-byte identical to an ONNX or
other representation hosted by PaddlePaddle. Artifact identity must therefore
be established using its source record and cryptographic hash rather than its
filename alone.
## 6. Bundled model artifacts
The following artifacts are covered by this notice and are distributed with
RapidOCR's default ONNX Runtime configuration:
| RapidOCR artifact | Upstream model | SHA-256 | RapidOCR source |
| --- | --- | --- | --- |
| `PP-OCRv6_det_small.onnx` | `PP-OCRv6_small_det` | `090f04abcd9d9a7498bc4ebf677e4cb9bdce1fe4197ddb7e529f1ef44e1ff94f` | [ModelScope](https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.9.2/onnx/PP-OCRv6/det/PP-OCRv6_det_small.onnx) |
| `PP-OCRv6_rec_small.onnx` | `PP-OCRv6_small_rec` | `6f327246b50388f3c176ae304bd95767ea6dc0c9ae92153ef8cbe210b3c14884` | [ModelScope](https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.9.2/onnx/PP-OCRv6/rec/PP-OCRv6_rec_small.onnx) |
| `ch_ppocr_mobile_v2.0_cls_mobile.onnx` | `ch_ppocr_mobile_v2.0_cls` | `e47acedf663230f8863ff1ab0e64dd2d82b838fceb5957146dab185a89d6215c` | [ModelScope](https://www.modelscope.cn/models/RapidAI/RapidOCR/resolve/v3.9.2/onnx/PP-OCRv4/cls/ch_ppocr_mobile_v2.0_cls_mobile.onnx) |
The model registry in `rapidocr/default_models.yaml` is the authoritative
release record for the source URL and SHA-256 value of each supported model
artifact.
## 7. Redistribution requirements
When redistributing a covered model artifact, or a modified or converted form
of one, comply with Section 4 of Apache-2.0. In particular, you must:
1. Give recipients a copy of the Apache License, Version 2.0.
2. Cause modified files to carry prominent notices stating that you changed
them.
3. Retain applicable copyright, patent, trademark, and attribution notices
from the upstream work, except notices that do not pertain to the
redistributed work.
4. If an upstream distribution contains a `NOTICE` file, include the relevant
contents of that notice in a permitted form.
At the time of publication, RapidOCR has not identified an additional
model-specific `NOTICE` file for the artifacts listed in Section 6. If a future
upstream release supplies one, its applicable contents must be retained.
For converted files, an appropriate modification notice is:
> Converted from an official PaddleOCR model to the indicated inference format
> and packaged for use with RapidOCR. The upstream model weights are copyright
> Baidu and/or the applicable PaddleOCR rights holders and are licensed under
> the Apache License, Version 2.0.
## 8. Trademarks and endorsement
Apache-2.0 does not grant permission to use the trade names, trademarks,
service marks, or product names of Baidu, PaddlePaddle, PaddleOCR, or RapidOCR,
except as required for reasonable and customary description of the origin of
the model artifacts. Redistribution must not imply endorsement, sponsorship,
or affiliation without separate permission.
## 9. Disclaimer
Unless required by applicable law or agreed to in writing, the model artifacts
are provided on an **AS IS** basis, without warranties or conditions of any
kind. The warranty disclaimer and limitation of liability in Apache-2.0 apply.
Model accuracy, fitness, security, and regulatory suitability remain the
responsibility of the user and downstream distributor. RapidOCR is not a
medical device, and neither the model license nor this notice represents a
certification or guarantee for medical, safety-critical, or regulated use.
## 10. Release maintenance
When a RapidOCR release adds or changes a model artifact, maintainers should:
1. Verify the upstream model and its applicable license.
2. Record the upstream source and immutable version or revision where
available.
3. Record the conversion tool, tool version, model format, and conversion
options where available.
4. Record and verify the artifact SHA-256 value.
5. Preserve any applicable upstream copyright, attribution, and `NOTICE`
material.
6. Update this notice when the covered model families or applicable terms
change.
python/pyproject.toml
+1
View File
@@ -13,6 +13,7 @@ description = "Awesome OCR Library"
readme = { file = "README.md", content-type = "text/markdown" }
requires-python = ">=3.8,<4"
license = "Apache-2.0"
license-files = ["LICENSE", "MODEL_LICENSES.md"]
authors = [
{ name = "SWHL", email = "liekkaskono@163.com" },
]