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requirements.txt | 9 months ago | |
run_model_server.py | 11 months ago |
本模型封装自魔搭(ModelScope)社区项目: 万物识别。本模型是对包含主体物体的图像进行标签识别,无需任何额外输入,输出主体物体的类别标签,目前已经覆盖了5W多类的物体类别。模型采用resnest101结构.
https://modelscope.cn/models/damo/cv_resnest101_general_recognition/summary
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》
本模型提供了1个API接口:
API接口1:
API端点: /api/data
HTTP方法: POST
HTTP请求体:
{
"action": "predict"
"args": {
"img": <压缩图像的base64编码字符串(或其Data URL表示)>,
}
}
HTTP响应体:
{
"status": "ok"|"err",
"value": [], <图像的base64编码URL字符串>
}
No Description
Python Shell Text Dockerfile
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》