Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
huolongshe 30575781cd | 2 months ago | |
---|---|---|
app | 10 months ago | |
demo_data | 11 months ago | |
docs | 1 year ago | |
.gitignore | 1 year ago | |
Dockerfile | 1 year ago | |
LICENSE | 1 year 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 |
本模型封装自魔搭(ModelScope)社区项目: DCT-Net人像卡通化-素描风。输入一张人物图像,实现端到端全图卡通化转换,生成素描风格虚拟形象,返回风格化后的结果图像。该任务采用一种全新的域校准图像翻译模型DCT-Net(Domain-Calibrated Translation),利用小样本的风格数据,即可得到高保真、强鲁棒、易拓展的人像风格转换模型,并通过端到端推理快速得到风格转换结果。
https://www.modelscope.cn/models/damo/cv_unet_person-image-cartoon-sketch_compound-models/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": [], <卡通图像的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》