From 73f0530d1630c2a31d3471fabc45401858aea104 Mon Sep 17 00:00:00 2001 From: myhloli Date: Sat, 24 May 2025 15:47:31 +0800 Subject: [PATCH] feat(docs): update changelog for PP-OCRv5 model support and handwritten document recognition enhancements --- README.md | 14 ++++++++++++++ README_zh-CN.md | 14 ++++++++++++++ 2 files changed, 28 insertions(+) diff --git a/README.md b/README.md index d4382b44..09bdd782 100644 --- a/README.md +++ b/README.md @@ -48,6 +48,20 @@ Easier to use: Just grab MinerU Desktop. No coding, no login, just a simple inte # Changelog +- 2025/05/24 1.3.12 Released + - Added support for ppocrv5 model, updated `ch_server` model to `PP-OCRv5_rec_server` and `ch_lite` model to `PP-OCRv5_rec_mobile` (model update required) + - In testing, we found that ppocrv5(server) shows some improvement for handwritten documents, but slightly lower accuracy than v4_server_doc for other document types. Therefore, the default ch model remains unchanged as `PP-OCRv4_server_rec_doc`. + - Since ppocrv5 enhances recognition capabilities for handwritten text and special characters, you can manually select ppocrv5 models for Japanese, traditional Chinese mixed scenarios and handwritten document scenarios + - You can select the appropriate model through the lang parameter `lang='ch_server'` (python api) or `--lang ch_server` (command line): + - `ch`: `PP-OCRv4_rec_server_doc` (default) (Chinese, English, Japanese, Traditional Chinese mixed/15k dictionary) + - `ch_server`: `PP-OCRv5_rec_server` (Chinese, English, Japanese, Traditional Chinese mixed + handwriting/18k dictionary) + - `ch_lite`: `PP-OCRv5_rec_mobile` (Chinese, English, Japanese, Traditional Chinese mixed + handwriting/18k dictionary) + - `ch_server_v4`: `PP-OCRv4_rec_server` (Chinese, English mixed/6k dictionary) + - `ch_lite_v4`: `PP-OCRv4_rec_mobile` (Chinese, English mixed/6k dictionary) + - Added support for handwritten documents by optimizing layout recognition of handwritten text areas + - This feature is supported by default, no additional configuration needed + - You can refer to the instructions above to manually select ppocrv5 model for better handwritten document parsing + - The demos on `huggingface` and `modelscope` have been updated to support handwriting recognition and ppocrv5 models, which you can experience online - 2025/04/29 1.3.10 Released - Support for custom formula delimiters can be achieved by modifying the `latex-delimiter-config` item in the `magic-pdf.json` file under the user directory. - 2025/04/27 1.3.9 Released diff --git a/README_zh-CN.md b/README_zh-CN.md index a3552952..69512ae2 100644 --- a/README_zh-CN.md +++ b/README_zh-CN.md @@ -47,6 +47,20 @@ # 更新记录 +- 2025/05/24 1.3.12 发布 + - 增加ppocrv5模型的支持，将`ch_server`模型更新为`PP-OCRv5_rec_server`，`ch_lite`模型更新为`PP-OCRv5_rec_mobile`（需更新模型） + - 在测试中，发现ppocrv5(server)对手写文档效果有一定提升，但在其余类别文档的精度略差于v4_server_doc，因此默认的ch模型保持不变，仍为`PP-OCRv4_server_rec_doc`。 + - 由于ppocrv5强化了手写场景和特殊字符的识别能力，因此您可以在日繁混合场景以及手写文档场景下手动选择使用ppocrv5模型 + - 您可通过lang参数`lang='ch_server'`(python api)或`--lang ch_server`(命令行)自行选择相应的模型： + - `ch` ：`PP-OCRv4_rec_server_doc`（默认）（中英日繁混合/1.5w字典） + - `ch_server` ：`PP-OCRv5_rec_server`（中英日繁混合+手写场景/1.8w字典） + - `ch_lite` ：`PP-OCRv5_rec_mobile`（中英日繁混合+手写场景/1.8w字典） + - `ch_server_v4` ：`PP-OCRv4_rec_server`（中英混合/6k字典） + - `ch_lite_v4` ：`PP-OCRv4_rec_mobile`（中英混合/6k字典） + - 增加手写文档的支持，通过优化layout对手写文本区域的识别，现已支持手写文档的解析 + - 默认支持此功能，无需额外配置 + - 可以参考上述说明，手动选择ppocrv5模型以获得更好的手写文档解析效果 + - `huggingface`和`modelscope`的demo已更新为支持手写识别和ppocrv5模型的版本，可自行在线体验 - 2025/04/29 1.3.10 发布 - 支持使用自定义公式标识符，可通过修改用户目录下的`magic-pdf.json`文件中的`latex-delimiter-config`项实现。 - 2025/04/27 1.3.9 发布