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7 Commits

Author SHA1 Message Date
Xiaomeng Zhao
d775f76eec Merge pull request #3435 from myhloli/dev
feat: add new models to download list
2025-09-08 10:51:52 +08:00
myhloli
5dd73dbcca Merge remote-tracking branch 'origin/dev' into dev 2025-09-08 10:46:08 +08:00
myhloli
3eda0d10a0 feat: add new models to download list and update changelog for version 2.2.1 2025-09-08 10:45:21 +08:00
Xiaomeng Zhao
e0c3cbb34a Merge pull request #3429 from opendatalab/master
master->dev
2025-09-05 19:23:07 +08:00
myhloli
d2fcdd0fa4 Update version.py with new version 2025-09-05 11:21:16 +00:00
Xiaomeng Zhao
af887d63c0 Merge pull request #3428 from opendatalab/release-2.2.0
Release 2.2.0
2025-09-05 19:19:42 +08:00
Xiaomeng Zhao
a9f28b4436 Merge pull request #3425 from opendatalab/release-2.2.0
Release 2.2.0
2025-09-05 19:10:08 +08:00
4 changed files with 11 additions and 2 deletions

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@@ -44,6 +44,9 @@
# Changelog
- 2025/09/08 2.2.1 Released
- Fixed the issue where some newly added models were not downloaded when using the model download command.
- 2025/09/05 2.2.0 Released
- Major Updates
- In this version, we focused on improving table parsing accuracy by introducing a new [wired table recognition model](https://github.com/RapidAI/TableStructureRec) and a brand-new hybrid table structure parsing algorithm, significantly enhancing the table recognition capabilities of the `pipeline` backend.

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@@ -44,6 +44,9 @@
# 更新记录
- 2025/09/08 2.2.1 发布
- 修复使用模型下载命令时,部分新增模型未下载的问题
- 2025/09/05 2.2.0 发布
- 主要更新
- 在这个版本我们重点提升了表格的解析精度,通过引入新的[有线表识别模型](https://github.com/RapidAI/TableStructureRec)和全新的混合表格结构解析算法,显著提升了`pipeline`后端的表格识别能力。

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@@ -66,7 +66,10 @@ def download_pipeline_models():
ModelPath.unimernet_small,
ModelPath.pytorch_paddle,
ModelPath.layout_reader,
ModelPath.slanet_plus
ModelPath.slanet_plus,
ModelPath.unet_structure,
ModelPath.paddle_table_cls,
ModelPath.paddle_orientation_classification,
]
download_finish_path = ""
for model_path in model_paths:

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@@ -1 +1 @@
__version__ = "2.1.11"
__version__ = "2.2.0"