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本模型检测输入图像中的人脸,然后从8种情绪类别中预测人类的情绪状态。
本模型改编自GitHub开源项目: https://github.com/onnx/models/tree/master/emotion_ferplus
参考文献
本模型基于 ServiceBoot微服务引擎 开发,参见: 《CubeAI模型开发指南》 。
本模型可发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》 。
本模型还可直接基于git源代码在本机进行部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder 。
更多CubeAI模型样例请参见: 《CubeAI模型示范库》 。
测试和演示本模型时,如果需要用到视频流媒体服务,其环境搭建可参见:
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": [<识别结果>, <带人脸表情标注的base64编码压缩图像URL>]
}
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": [<识别结果>, <带年脸表情标注的base64编码图像URL>]
}
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": [<识别结果>, <带脸表情标注的base64编码图像URL>]
}
人脸表情识别
TypeScript Python HTML Text Dockerfile other
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