Merge pull request #1616 from myhloli/dev

docs(readme): update changelog for v1.1.0 release

README.md

@@ -48,9 +48,12 @@ Easier to use: Just grab MinerU Desktop. No coding, no login, just a simple inte
 
 # Changelog
 - 2025/01/22 1.1.0 released. In this version we have focused on improving parsing accuracy and efficiency:
-  - Upgraded to the latest doclayout_yolo(2501) model, enhancing layout recognition accuracy.
-  - Upgraded to the latest unimernet(2501) model, improving formula recognition accuracy.
+  - Model capability upgrade (requires re-executing the [model download process](docs/how_to_download_models_en.md) to obtain incremental updates of model files)
+    - The layout recognition model has been upgraded to the latest `doclayout_yolo(2501)` model, improving layout recognition accuracy.
+    - The formula parsing model has been upgraded to the latest `unimernet(2501)` model, improving formula recognition accuracy.
+  - Performance optimization
     - On devices that meet certain configuration requirements (16GB+ VRAM), by optimizing resource usage and restructuring the processing pipeline, overall parsing speed has been increased by more than 50%.
+  - Parsing effect optimization
     - Added a new heading classification feature (testing version, enabled by default) to the online demo, which supports hierarchical classification of headings, thereby enhancing document structuring.
 - 2025/01/10 1.0.1 released. This is our first official release, where we have introduced a completely new API interface and enhanced compatibility through extensive refactoring, as well as a brand new automatic language identification feature:
   - New API Interface

README_zh-CN.md

@@ -47,10 +47,13 @@
 
 # 更新记录
 - 2025/01/22 1.1.0 发布，在这个版本我们重点提升了解析的精度与效率：
-  - 升级了最新版的doclayout_yolo(2501)模型，提升了layout识别精度
-  - 升级了最新版的unimernet(2501)模型，提升了公式识别精度
+  - 模型能力升级（需重新执行[模型下载流程](docs/how_to_download_models_zh_cn.md)以获得模型文件的增量更新） 
+    - 布局识别模型升级到最新的`doclayout_yolo(2501)`模型，提升了layout识别精度
+    - 公式解析模型升级到最新的`unimernet(2501)`模型，提升了公式识别精度
+  - 性能优化
     - 在配置满足一定条件（显存16GB+）的设备上，通过优化资源占用和重构处理流水线，整体解析速度提升50%以上
-  - 在线demo上新增标题分级功能（测试版本，默认开启），支持对标题进行分级，提升文档结构化程度
+  - 解析效果优化
+    - 在线demo（mineru.net/huggingface/modelscope）上新增标题分级功能（测试版本，默认开启），支持对标题进行分级，提升文档结构化程度
 - 2025/01/10 1.0.1 发布，这是我们的第一个正式版本，在这个版本中，我们通过大量重构带来了全新的API接口和更广泛的兼容性，以及全新的自动语言识别功能：
   - 全新API接口 
     - 对于数据侧API，我们引入了Dataset类，旨在提供一个强大而灵活的数据处理框架。该框架当前支持包括图像（.jpg及.png）、PDF、Word（.doc及.docx）、以及PowerPoint（.ppt及.pptx）在内的多种文档格式，确保了从简单到复杂的数据处理任务都能得到有效的支持。