在人脸检测基础上,识别各个检测人脸的性别、年龄、表情、眼镜四种属性。返回人脸的1024维深度学习特征,基于这个特征并按照特征比较规则,用户可实现高性能的人脸识别。

图片限制

  • 请求格式:JPEG、JPG、PNG、BMP。
  • 图像大小:图像大小小于等于3M。
  • 图像分辨率:图片大小要求5x5像素以上,人脸的尺寸建议大于64x64像素。

调试

您可以在OpenAPI Explorer中直接运行该接口,免去您计算签名的困扰。运行成功后,OpenAPI Explorer可以自动生成SDK代码示例。

请求参数

名称 类型 是否必选 示例值 描述
ImageURL String http://vigen-invi.oss-cn-shanghai.aliyuncs.com/demo/test.jpg

图片url地址(http/https)。

返回数据

名称 类型 示例值 描述
RequestId String 0898E8C2-4608-401B-9FA2-53276FA59807

当前请求的request id。

Data Struct

返回的数据内容。

FaceCount Integer 1

检测出来的人脸个数。

LandmarkCount Integer 105

特征点数目,目前固定为105点(顺序:眉毛24点,眼睛32点,鼻子6点,嘴巴34点,外轮廓9点)。

DenseFeatureLength Integer 1024

人脸识别返回特征维度,目前固定为1024。

FaceRectangles List 266

返回人脸矩形框,分别是[left, top, width, height]。如有多个人脸,则依次顺延,返回矩形框。如有两个人脸则返回[left1, top1, width1, height1, left2, top2, width2, height2]

FaceProbabilityList List 1.0

返回人脸概率,取值范围0~1。如有多个人脸,则依次顺延。如有两个人脸则返回[face_prob1, face_prob2]

PoseList List -11.423143

返回人脸姿态[yaw, pitch, roll]

  • yaw为左右角度,取值[-90,90]
  • pitch为上下角度,取值[-90,90]
  • roll为平面旋转角度,取值[-180,180]

如有多个人脸,则依次顺延。

Landmarks List 266.182

特征点定位结果,每个人脸返回一组特征点位置,表示方式为(x0, y0, x1, y1, ……);如有多个人脸,则依次顺延,返回定位浮点数。

Pupils List 277.91675

左右两个瞳孔的中心点坐标和半径,每个人脸6个浮点数,顺序是[left_iris_cenpt.x, left_iris_cenpt.y, left_iris_radius, right_iris_cenpt.x, right_iris_cenpt.y, right_iris_radis]

GenderList List 0
  • 0:女性。
  • 1:男性,

如有多个人脸,则依次返回性别。

AgeList List 28

年龄0~100,如有多个人脸,依次返回年龄。

Expressions List 0

2种表情。

  • 0:中性。
  • 1:微笑。
Glasses List 0

是否佩戴眼镜。

  • 0:无眼镜。
  • 1:有眼镜。
DenseFeatures List 0.034110907465219498

人脸识别返回特征。如有多个人脸,则依次顺延,返回特征。

示例

请求示例

https://facebody.cn-shanghai.aliyuncs.com/?Action=RecognizeFace&<公共请求参数>

正常返回示例

JSON 格式

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错误码

具体请参见常见错误码