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表格结构识别,即给定一张图片,检测出图中单元格的物理坐标(四个顶点)以及逻辑坐标(行号列号)。
模型来源: https://www.modelscope.cn/models/damo/cv_dla34_table-structure-recognition_cycle-centernet/summary
引用:
@inproceedings{long2021parsing,
title={Parsing table structures in the wild},
author={Long, Rujiao and Wang, Wen and Xue, Nan and Gao, Feiyu and Yang, Zhibo and Wang, Yongpan and Xia, Gui-Song},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={944--952},
year={2021}
}
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
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Python Shell Dockerfile Text
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》