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application.yml | 10 months ago | |
build-docker.sh | 10 months ago | |
pack_model.py | 10 months ago | |
pip-install-reqs.sh | 10 months ago | |
requirements.txt | 2 months ago | |
run_model_server.py | 10 months ago |
在实人认证、文档电子化等场景中需要自动化提取卡证的信息,以便进一步做录入处理。这类场景通常存在两类问题,一是识别卡证类型时易受背景干扰,二是卡证拍摄角度造成的文字畸变影响OCR准确率。鉴于证件类数据的敏感性,采用大量合成卡证数据做训练, 并改造人脸检测SOTA方法SCRFD训练了卡证检测矫正模型,可以对各类国际常见卡证(如,身份证、护照、驾照等)进行检测、定位及矫正,得到去除背景的正视角卡证图像,便于后续卡证分类或OCR内容提取。
目前只支持GPU推理。
本模型基于 ServiceBoot微服务引擎 开发,参见: 《CubeAI模型开发指南》 。
本模型可发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》 。
本模型还可直接基于git源代码在本机进行部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder 。
更多CubeAI模型样例请参见: 《CubeAI模型示范库》 。
测试和演示本模型时,如果需要用到视频流媒体服务,其环境搭建可参见:
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》