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requirements.txt | 8 months ago | |
run_model_server.py | 1 year ago |
将文本字符串转换成二维码图片;识别二维码图片还原成原始文字。
本模型改编自GitHub开源项目: https://github.com/lincolnloop/python-qrcode 和 https://github.com/NaturalHistoryMuseum/pyzbar/tree/master/pyzbar 。
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》
本模型定义了2个API接口:
API接口1:
API端点: /api/data
HTTP方法: POST
HTTP请求体:
{
"action": "make"
"args": {
"text": <待生成二维码的文本字符串>
}
}
HTTP响应体:
{
"status": "ok"|"err",
"value": <二维码压缩图像的数据URL>|<错误描述>
}
API接口2:
API端点: /api/model
HTTP方法: POST
HTTP请求体:
{
"action": "scan"
"args": {
"img_url": <二维码压缩图像的数据URL>
}
}
HTTP响应体:
{
"status": "ok"|"err",
"value": <二维码解码后的文本>|<错误描述>
}
二维码生成和识别
Python TypeScript HTML Shell Text other
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》