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huolongshe 0c0eca850a | 2 months ago | |
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app | 11 months ago | |
demo_data | 11 months ago | |
docs | 1 year ago | |
webapp | 11 months 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 | 1 year ago | |
requirements.txt | 9 months ago | |
run_model_server.py | 1 year ago |
基于 PP-ShiTuV2 中的预训练模型开发的卡通识别应用。
用到的预训练模型如下:
飞桨图像识别套件 PaddleClas 是飞桨为工业界和学术界所准备的一个图像识别和图像分类任务的工具集,助力使用者训练出更好的视觉模型和应用落地。
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4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": [<results>, <带目标检测标注的base64编码压缩图像URL>]
}
API接口2:
API端点: /api/data
HTTP方法: POST
HTTP请求体:
{
"action": "predict_video",
"args": {
"url": <云端视频流媒体URL, 例如: rtmp://localhost/live/ch1>
}
}
HTTP响应体:
{
"status": "ok"|"err",
"value": <(流媒体当前帧图像)带目标检测标注的base64编码压缩图像URL>
}
API接口3:
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: 同API接口1
API接口4:
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: 同API接口1
No Description
TypeScript Python HTML Text Shell 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》