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huolongshe 2ee147a892 | 2 months ago | |
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app | 11 months ago | |
demo_data | 1 year ago | |
docs | 1 year ago | |
webapp | 11 months ago | |
.gitignore | 2 years ago | |
Dockerfile | 1 year ago | |
LICENSE | 2 years ago | |
README.md | 2 months ago | |
application.yml | 11 months ago | |
build-docker.sh | 1 year ago | |
pack_model.py | 1 year ago | |
pip-install-reqs.sh | 11 months ago | |
requirements.txt | 9 months ago | |
run_model_server.py | 1 year ago |
该模型对图像分辨率进行四倍上采样增强,以生成照片般逼真的细节。宽/高最多放大至2000像素。如果原图宽/高超过2000像素,则保持不变。
本模型改编自GitHub开源项目:
参考文献
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3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": <图像分辨率增强图像的base64编码URL字符串>
}
API接口2:
API端点: /api/stream/predict
HTTP方法: POST
HTTP请求体:
<二进制编码的压缩图像字节流>
HTTP响应体:
{
"status": "ok"|"err",
"value": <图像分辨率增强图像的base64编码URL字符串>
}
API接口3:
API端点: /api/file/predict
HTTP方法: POST
HTTP请求体:
<用于HTTP文件上传的XHR格式请求体>
HTTP响应体:
{
"status": "ok"|"err",
"value": <图像分辨率增强图像的base64编码URL字符串>
}
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》