本文介绍人脸检测与五官定位DetectFace的语法及示例。

功能描述

人脸检测与五官定位可以检测图片中的人脸并给出每张人脸定位和关键点信息。输出人脸数量、人脸矩形坐标、人脸姿态、双瞳孔中心坐标、人脸置信度列表等信息。支持检测含有多张人脸的照片。

应用场景

人脸关键点检测,是后续识别、分析和特效应用的基础。它为人脸识别、表情分析、疲劳检测、三维人脸重建、人脸美颜、换脸等人脸相关应用提供了人脸精确信息。

特色优势

  • 稠密关键点:提供105个关键点,足以应对人脸识别、姿态矫正、换脸等要求高精度人脸定位的应用。
  • 适应能力强:适应最大90度侧脸,平面360旋转人脸等情景。适用于各种应用场景。
  • 支持多人脸:支持在同张图中检测上千个人脸。

前提条件

请确保您已开通人脸人体服务,若未开通服务请立即开通

输入限制

  • 图像格式:JPEG、JPG、PNG、BMP。
  • 图像大小:不超过3M。
  • 图像分辨率:大于32×32像素,小于2048×2048像素,人脸占比不低于64×64像素。
  • URL地址中不能包含中文字符。
说明 当图像分辨率超过最大限制时,请先将图片进行缩放,调整图片大小,具体请参见图片缩放

计费说明

关于人脸检测与五官定位的计费方式及报价,请参见计费介绍

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
Action String DetectFace

要执行的操作。取值:DetectFace。

ImageURL String https://viapi-test.oss-cn-shanghai.aliyuncs.com/test-team/tiankong/6%E4%BA%BA%E8%84%B8%E5%AE%9A%E4%BD%8D%E6%A3%80%E6%B5%8B.jpg

图像URL地址。当前仅支持上海地域的OSS链接,如何生成URL请参见生成URL

返回数据

名称 类型 示例值 描述
Data Struct

返回的结果数据内容。

FaceCount Integer 1

检测出的人脸个数。

FaceProbabilityList List 0.99538141489028931

截图中包含人脸的概率,取值范围0~1。如有多个人脸,则依次返回。例如有两个人脸则返回[face_prob1, face_prob2]

FaceRectangles List [153,4,310,426]

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。例如有两个人脸则返回[left1, top1, width1, height1, left2, top2, width2, height2]

LandmarkCount Integer 105

人脸特征点数目,目前固定为105点。依次为:眉毛24点,眼睛32点,鼻子6点,嘴巴34点,外轮廓9点。

Landmarks List 179.71014404296875

人脸特征点定位结果,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。

PoseList List 0.86857914924621582

返回人脸姿态,格式为[yaw, pitch, roll]。如有多个人脸,则依次顺延。

  • yaw为左右角度,取值范围-90~90。
  • pitch为上下角度,取值范围-90~90。
  • roll为平面旋转角度,取值范围-180~180。
Pupils List 232.2469482421875

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

Qualities Struct

人脸质量情况,分数越高表示越有利于识别。

BlurList List 95.37

人脸模糊度对识别的影响分数,分数越高越有利于识别,取值范围(0,100]。如有多个人脸,则依次顺延。

FnfList List 100

人脸正确度对识别的影响分数,分数越高越有利于识别,取值范围(0,100]。如有多个人脸,则依次顺延。

GlassList List 99.75

眼镜等上半脸遮挡对识别的影响分数,分数越高越有利于识别,取值范围(0,100]。如有多个人脸,则依次顺延。

IlluList List 79.10

光照对识别的影响分数,分数越高越有利于识别,取值范围(0,100]。如有多个人脸,则依次顺延。

MaskList List 88.3

口罩等下半脸遮挡对识别的影响分数,分数越高越有利于识别,取值范围(0,100]。如有多个人脸,则依次顺延。

NoiseList List 77.39

图片噪声对识别的影响分数,分数越高越有利于识别,取值范围(0,100]。如有多个人脸,则依次顺延。

PoseList List 99.82

姿态对识别的影响分数,分数越高越有利于识别,取值范围(0,100]。如有多个人脸,则依次顺延。

ScoreList List 79.0

质量综合分数,分数越高越有利于识别,取值范围(0,100]。如有多张人脸,则依次返回。

RequestId String 765E5F87-0BAB-4553-AEF6-27CA7EC8DD14

请求ID。

示例

请求示例

http(s)://facebody.cn-shanghai.aliyuncs.com/?Action=DetectFace
&ImageURL=https://viapi-test.oss-cn-shanghai.aliyuncs.com/test-team/tiankong/6%E4%BA%BA%E8%84%B8%E5%AE%9A%E4%BD%8D%E6%A3%80%E6%B5%8B.jpg
&<公共请求参数>

正常返回示例

XML格式

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    <FaceRectangles>163</FaceRectangles>
    <FaceRectangles>240</FaceRectangles>
    <Qualities>
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        <ScoreList>85.261680603027344</ScoreList>
        <BlurList>99.984916687011719</BlurList>
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        <FnfList>99.999954223632812</FnfList>
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        <IlluList>99.910720825195312</IlluList>
    </Qualities>
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    <GenderList>1</GenderList>
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}

错误码

关于人脸检测与五官定位的错误码,详情请参见常见错误码

SDK参考

阿里云视觉AI能力支持使用SDK调用,具体可参见SDK总览下载安装。

安全声明

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