Micro-level facial analysis

    Production environment: https://openapi.meitu.com
    Task submission endpoint: https://openapi.meitu.com/api/v1/sdk/sync/push
    Task name (task): /v1/micro_face_analysis/488097
    Task type (task_type): formula

{
  "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
}

{
  "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
  }
}

{
  "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
  }
}

{
  "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": "Face missing"
    },
    "progress": 0,
    "predict_elapsed": 0,
    "create_time": 1786320000000,
    "task_id": "task_202608100003",
    "custom_task_id": "",
    "trace_id": "trace_202608100003",
    "client_info": "",
    "init_images": null
  }
}

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()

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
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);
?>

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);
        }
    }
}