微观人脸分析

描述

调用者提供图片文件或图片 URL,进行人脸检测和人脸五官分析。

版本

1.0

图片要求

  • 图片格式:JPG(JPEG)、PNG。
  • 图片像素尺寸:最小 48 × 48 像素,最大 4096 × 4096 像素。
  • 图片文件大小:不超过 10 MB。
  • 最小人脸像素尺寸:系统能够检测到的人脸框为正方形,其边长最小为图像短边长度的 1/48,且不低于 48 像素。例如图片尺寸为 4096 × 3200 像素时,最小人脸像素尺寸为 66 × 66 像素。

调用 URL

    正式环境:https://openapi.meitu.com
    任务提交接口:https://openapi.meitu.com/api/v1/sdk/sync/push
    任务名称(task):/v1/micro_face_analysis/488097
    任务类型(task_type):formula

调用方法

POST

Content-Type: application/json

权限

开放平台接口签名

请求参数

是否必选参数名类型参数说明
必选paramsstring算法参数(JSON 字符串)
必选init_imagesobject[]图片文件列表
必选taskstring固定 /v1/micro_face_analysis/488097
必选task_typestring固定 formula
可选sync_timeoutint默认 30,同步超时时间

init_images 多媒体文件参数,结构说明如下

是否必选参数名类型参数说明
必选urlstring图片 URL 或 base64 数据;内容必须与 media_data_type 一致
必选profileobject图片属性信息描述

profile 属性信息描述

是否必选参数名类型参数说明
必选media_profilesobject媒体属性信息
必选versionstring固定 v1

media_profiles 媒体属性信息

是否必选参数名类型参数说明
必选media_data_typestringurl 表示图片 URL;jpg 表示经过 base64 编码的图片数据,默认 jpg

params 推理参数是 JSON 字符串,其结构说明如下

是否必选字段类型说明
可选rsp_media_typestring默认 urljpg 表示 base64
必选parameterobject算法核心参数对象

parameter 算法参数详情

是否必选参数名类型参数说明
可选return_attributesstring是否检测并返回根据人脸特征判断出的五官形状等属性。请求五官分析时传 facial_analysis;多个属性用英文逗号分隔且不加空格。字段不存在或值为空时不检测属性
可选versionstring算法版本,例如 1.0.02.0.0,默认 1.0.0

输入值示例

{
  "task": "/v1/micro_face_analysis/488097",
  "task_type": "formula",
  "init_images": [
    {
      "url": "https://example.com/input.jpg",
      "profile": {
        "media_profiles": {
          "media_data_type": "url"
        },
        "version": "v1"
      }
    }
  ],
  "params": "{\"rsp_media_type\":\"url\",\"parameter\":{\"return_attributes\":\"facial_analysis\",\"version\":\"1.0.0\"}}",
  "sync_timeout": 30
}

返回值说明

注意,生成的结果,会定期清理,请及时下载保存
字段类型说明
request_idstring请求标识
trace_idstring链路追踪标识
codeint业务状态码,0 表示请求受理成功
error_codeint错误码,成功时为 0
messagestring业务信息
tipsany补充提示,可为 null
dataobject任务状态和算法结果

data 中单个元素的字段说明

字段类型说明
statusint状态码:-1 未找到任务;0 创建成功;1 执行中;2 失败;9 超时,使用查询接口查询;10 成功
resultobject微观人脸分析结果;失败时包含算法错误信息
progressnumber任务进度
predict_elapsedint预计耗时,毫秒
create_timeint64创建时间戳,毫秒
task_idstring任务 ID
custom_task_idstring客户自定义任务 ID
trace_idstring链路追踪标识
client_infostring客户端信息
init_imagesobject[]/null输入媒体回显

result 中的字段说明

字段类型说明
parameterobject返回的信息说明,例如算法版本号
media_info_listobject[]每个元素包含一张图片的人脸分析结果
ErrorCodeint失败时返回的算法错误代码
ErrorMsgstring失败时返回的算法错误信息
Datastring失败时返回的具体信息

result.parameter 中的字段说明

字段类型说明
versionstring算法版本号

result.media_info_list 中单个元素的字段说明

字段类型说明
media_extraobject图片分析结果,包含 faces 字段

media_extra 中的字段说明

字段类型说明
facesobject[]检测到的人脸数组;未检测到人脸时为空数组

faces 中单个元素的字段说明

字段类型说明
face_rectangleobject人脸矩形框的位置
face_attributesobject人脸属性特征

face_rectangle 中的字段说明

字段类型说明
leftfloat人脸框左上角横坐标,占图片宽度的比例
topfloat人脸框左上角纵坐标,占图片高度的比例
widthfloat人脸框宽度,占图片宽度的比例
heightfloat人脸框高度,占图片高度的比例

face_attributes 中的字段说明

字段类型说明
eyebrow_shapeobject眉形分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
eyebrow_concentrationobject眉毛浓度分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
eyebrow_concentration_distributionobject眉毛浓度分布分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
eye_distanceobject两眼间距结果,包含 valueconfidencevalue 的含义见五官分析代号说明
eyebrow_distanceobject眉毛间距结果,包含 valueconfidencevalue 的含义见五官分析代号说明
eye_shapeobject眼形分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
nose_shapeobject鼻形分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
mouth_thicknessobject嘴唇厚度分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
lip_peakobject唇峰分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
cheek_shapeobject颧骨形状分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
jaw_shapeobject下巴形状分析结果,包含 valueconfidencevalue 的含义见五官分析代号说明
eyebags_yesobject有眼袋的概率结果,包含 valueconfidence
eyebags_noobject无眼袋的概率结果,包含 valueconfidence
facetype_circularobject圆脸的概率结果,包含 valueconfidence
facetype_ellipticobject鹅蛋脸的概率结果,包含 valueconfidence
facetype_longobject长脸的概率结果,包含 valueconfidence
facetype_prismobject棱形脸的概率结果,包含 valueconfidence
facetype_triangleobject倒三角脸的概率结果,包含 valueconfidence
facetype_squareobject方形脸的概率结果,包含 valueconfidence
risorius_yesobject有苹果肌的概率结果,包含 valueconfidence
risorius_noobject无苹果肌的概率结果,包含 valueconfidence
temple_fullobject太阳穴饱满的概率结果,包含 valueconfidence
temple_segobject凹太阳穴的概率结果,包含 valueconfidence
confidencefloat置信度,取值范围为 0.0~1.0

face_attributes 中各 object 均包含以下字段

字段类型说明
valuestring属性代码或概率值
confidencefloat置信度,取值范围为 0.0~1.0

当前 API 特有的错误代码与信息

ErrorCodeErrorMsg说明
20001PROCESS_ERROR处理错误
20003DETECT_NOT_FACE人脸缺失

返回值示例

请求成功返回示例

{
  "request_id": "req_202608100001",
  "trace_id": "trace_202608100001",
  "code": 0,
  "error_code": 0,
  "message": "success",
  "tips": null,
  "data": {
    "status": 10,
    "result": {
      "parameter": {
        "version": "1.0.0"
      },
      "media_info_list": [
        {
          "media_extra": {
            "faces": [
              {
                "face_attributes": {
                  "cheek_shape": {"value": "ea02", "confidence": 1},
                  "eye_distance": {"value": "ad03", "confidence": 1},
                  "eye_shape": {"value": "ba01", "confidence": 1},
                  "eyebags_no": {"value": "0.999904", "confidence": 0.999904},
                  "eyebags_yes": {"value": "0.000096", "confidence": 0.000096},
                  "eyebrow_concentration": {"value": "ab02", "confidence": 1},
                  "eyebrow_concentration_distribution": {"value": "ac02", "confidence": 1},
                  "eyebrow_distance": {"value": "ae03", "confidence": 1},
                  "eyebrow_shape": {"value": "aa12", "confidence": 1},
                  "facetype_circular": {"value": "0.756924", "confidence": 0.756924},
                  "facetype_elliptic": {"value": "0.002978", "confidence": 0.002978},
                  "facetype_long": {"value": "0.060150", "confidence": 0.06015},
                  "facetype_prism": {"value": "0.000285", "confidence": 0.000285},
                  "facetype_square": {"value": "0.142799", "confidence": 0.142799},
                  "facetype_triangle": {"value": "0.036865", "confidence": 0.036865},
                  "jaw_shape": {"value": "fa03", "confidence": 1},
                  "lip_peak": {"value": "db03", "confidence": 1},
                  "mouth_thickness": {"value": "da01", "confidence": 1},
                  "nose_shape": {"value": "ca02", "confidence": 1},
                  "risorius_no": {"value": "0.025860", "confidence": 0.02586},
                  "risorius_yes": {"value": "0.974139", "confidence": 0.974139},
                  "temple_full": {"value": "0.999975", "confidence": 0.999975},
                  "temple_seg": {"value": "0.000025", "confidence": 0.000025}
                },
                "face_rectangle": {
                  "height": 0.108008,
                  "left": 0.425701,
                  "top": 0.106996,
                  "width": 0.162012
                }
              }
            ]
          }
        }
      ]
    },
    "progress": 100,
    "predict_elapsed": 120,
    "create_time": 1786320000000,
    "task_id": "task_202608100001",
    "custom_task_id": "",
    "trace_id": "trace_202608100001",
    "client_info": "",
    "init_images": null
  }
}

需要查询返回示例

使用 查询接口 接口查询

Response Status:200

content-type 为 application/json; charset=utf-8

{
  "request_id": "req_202608100002",
  "trace_id": "trace_202608100002",
  "code": 0,
  "error_code": 0,
  "message": "processing",
  "tips": null,
  "data": {
    "status": 9,
    "result": {},
    "progress": 80,
    "predict_elapsed": 500,
    "create_time": 1786320000000,
    "task_id": "task_202608100002",
    "custom_task_id": "",
    "trace_id": "trace_202608100002",
    "client_info": "",
    "init_images": null
  }
}

请求失败返回示例

Response Status:400

content-type 为 application/json; charset=utf-8

{
  "request_id": "req_202608100003",
  "trace_id": "trace_202608100003",
  "code": 20003,
  "error_code": 20003,
  "message": "DETECT_NOT_FACE",
  "tips": null,
  "data": {
    "status": 2,
    "result": {
      "ErrorCode": 20003,
      "ErrorMsg": "DETECT_NOT_FACE",
      "Data": "人脸缺失"
    },
    "progress": 0,
    "predict_elapsed": 0,
    "create_time": 1786320000000,
    "task_id": "task_202608100003",
    "custom_task_id": "",
    "trace_id": "trace_202608100003",
    "client_info": "",
    "init_images": null
  }
}

通用的错误代码与信息

详见 API 错误码

SDK 调用示例

Python

import json

import requests
from sign_sdk import sign

def api_call_example():
    key = "your_api_key"
    secret = "your_api_secret"
    url = "https://openapi.meitu.com/api/v1/sdk/sync/push"
    method = "POST"

    headers = {
        "Content-Type": "application/json",
        sign.HeaderHost: "openapi.meitu.com",
    }
    inner_params = {
        "rsp_media_type": "url",
        "parameter": {
            "return_attributes": "facial_analysis",
            "version": "1.0.0",
        },
    }
    payload = {
        "task": "/v1/micro_face_analysis/488097",
        "task_type": "formula",
        "init_images": [
            {
                "url": "https://example.com/input.jpg",
                "profile": {
                    "media_profiles": {"media_data_type": "url"},
                    "version": "v1",
                },
            }
        ],
        "params": json.dumps(inner_params, ensure_ascii=False),
        "sync_timeout": 30,
    }
    body = json.dumps(payload, ensure_ascii=False)

    signer = sign.Signer(key, secret)
    signed_request = signer.sign(url, method, headers, body)
    response = requests.Session().send(signed_request)
    print(f"Status: {response.status_code}")
    print(f"Response: {response.text}")

if __name__ == "__main__":
    api_call_example()

Go

package main

import (
	"fmt"
	"io"
	"net/http"

	"github.com/mtlab/api/signer"
)

func main() {
	key := "your_api_key"
	secret := "your_api_secret"
	signObj := signer.NewSigner(key, secret)

	url := "https://openapi.meitu.com/api/v1/sdk/sync/push"
	method := http.MethodPost
	headers := make(http.Header)
	headers.Set(signer.HeaderHost, "openapi.meitu.com")
	headers.Set("Content-Type", "application/json")

	body := `{
  "task": "/v1/micro_face_analysis/488097",
  "task_type": "formula",
  "init_images": [{
    "url": "https://example.com/input.jpg",
    "profile": {
      "media_profiles": {"media_data_type": "url"},
      "version": "v1"
    }
  }],
  "params": "{\"rsp_media_type\":\"url\",\"parameter\":{\"return_attributes\":\"facial_analysis\",\"version\":\"1.0.0\"}}",
  "sync_timeout": 30
}`

	req, err := signObj.Sign(url, method, headers, body)
	if err != nil {
		fmt.Println("Failed to sign request:", err)
		return
	}

	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		fmt.Println("Failed to send request:", err)
		return
	}
	defer resp.Body.Close()

	responseBody, err := io.ReadAll(resp.Body)
	if err != nil {
		fmt.Println("Read response failed:", err)
		return
	}
	fmt.Println("Response:", resp.StatusCode, string(responseBody))
}

PHP

<?php
require 'signer.php';

$key = 'your_api_key';
$secret = 'your_api_secret';
$signer = new Signer($key, $secret);

$url = 'https://openapi.meitu.com/api/v1/sdk/sync/push';
$method = 'POST';
$headers = ['Content-Type' => 'application/json'];

$innerParams = json_encode([
    'rsp_media_type' => 'url',
    'parameter' => [
        'return_attributes' => 'facial_analysis',
        'version' => '1.0.0',
    ],
]);

$body = json_encode([
    'task' => '/v1/micro_face_analysis/488097',
    'task_type' => 'formula',
    'init_images' => [
        [
            'url' => 'https://example.com/input.jpg',
            'profile' => [
                'media_profiles' => ['media_data_type' => 'url'],
                'version' => 'v1',
            ],
        ],
    ],
    'params' => $innerParams,
    'sync_timeout' => 30,
]);

$curl = $signer->sign($url, $method, $headers, $body);
$response = curl_exec($curl);
$status = curl_getinfo($curl, CURLINFO_HTTP_CODE);

if ($status === 0) {
    echo 'Error: ' . curl_error($curl);
} else {
    echo "Status: {$status}\n";
    echo "Response: {$response}\n";
}
curl_close($curl);
?>

Java

package com.meitu.openai.common;

import java.io.BufferedReader;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;

public class Main {
    public static void main(String[] args) throws Exception {
        Signer signer = new Signer("your_api_key", "your_api_secret");
        String url = "https://openapi.meitu.com/api/v1/sdk/sync/push";
        String method = "POST";

        Map<String, String> headers = new HashMap<>();
        headers.put("Content-Type", "application/json");
        headers.put(Signer.HeaderHost, "openapi.meitu.com");

        String body = "{\n" +
                "  \"task\": \"/v1/micro_face_analysis/488097\",\n" +
                "  \"task_type\": \"formula\",\n" +
                "  \"init_images\": [{\n" +
                "    \"url\": \"https://example.com/input.jpg\",\n" +
                "    \"profile\": {\n" +
                "      \"media_profiles\": {\"media_data_type\": \"url\"},\n" +
                "      \"version\": \"v1\"\n" +
                "    }\n" +
                "  }],\n" +
                "  \"params\": \"{\\\"rsp_media_type\\\":\\\"url\\\",\\\"parameter\\\":{\\\"return_attributes\\\":\\\"facial_analysis\\\",\\\"version\\\":\\\"1.0.0\\\"}}\",\n" +
                "  \"sync_timeout\": 30\n" +
                "}";

        Map<String, String> signedHeaders = signer.sign(url, method, headers, body);
        HttpURLConnection connection = (HttpURLConnection) new URL(url).openConnection();
        connection.setRequestMethod(method);
        for (Map.Entry<String, String> entry : signedHeaders.entrySet()) {
            connection.setRequestProperty(entry.getKey(), entry.getValue());
        }
        connection.setDoOutput(true);
        connection.getOutputStream().write(body.getBytes(StandardCharsets.UTF_8));

        int status = connection.getResponseCode();
        InputStream stream = status >= 400
                ? connection.getErrorStream()
                : connection.getInputStream();
        try (BufferedReader reader = new BufferedReader(new InputStreamReader(stream))) {
            StringBuilder response = new StringBuilder();
            String line;
            while ((line = reader.readLine()) != null) {
                response.append(line);
            }
            System.out.println("Response: " + status + " " + response);
        }
    }
}