宏观人脸分析

描述

调用者提供图片文件或者图片 URL,进行人脸检测和人脸属性分析。

版本

2.0

图片要求

图片格式:JPG(JPEG),PNG 图片像素尺寸:最小4848像素,最大40964096像素 图片文件大小:10MB 最小人脸像素尺寸:系统能够检测到的人脸框为一个正方形,正方形边长的最小值为图像短边长度的48分之一,最小值不低于48像素。例如图片为 40963200 像素,则最小人脸像素尺寸为 6666 像素。 人脸数限制:最多10个人脸

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/Macro_facial_analysis/487163
    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[]多媒体文件列表
必选taskstring固定 /v1/Macro_facial_analysis/487163
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
必选profileobject属性信息描述

profile 参数说明

是否必选参数名类型参数说明
必选media_profilesobject媒体文件的相关属性信息描述
必选versionstring固定 v1

media_profiles 中参数说明

是否必选参数名类型参数说明
必选media_data_typestringurl 表示 URL;jpg 等类型表示 base64

params 推理参数说明

params 为 JSON 字符串,解析后的结构如下:

{
  "rsp_media_type": "url",
  "parameter": {
    "return_attributes": "gender,age,race,beauty,glasses,mustache,emotion,eyelid,poseestimation"
  }
}
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 参数说明

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年龄、性别、微笑、人种等属性,需要将需要检测的属性组织成一个用逗号分隔的字符串。属性顺序无要求,多个属性中间不要加空格。字段不存在或为空表示不检测该属性。
可选return_landmarkInt是否检测并返回人脸五官和轮廓的关键点,默认值为 0

return_attributes 可选值说明

含义
gender性别
age年龄
race人种
beauty颜值
glasses眼镜
mustache胡子
emotion情绪
eyelid眼皮
poseestimation人脸角度信息

return_landmark 可选值说明

含义
0不返回人脸关键点
1返回 106 点百分比关键点
2返回 106 点实值关键点
3返回 118 点百分比关键点
4返回 118 点实值关键点
5返回 171 点百分比关键点
6返回 171 点实值关键点

输入值示例

{
  "task": "/v1/Macro_facial_analysis/487163",
  "task_type": "formula",
  "init_images": [
    {
      "url": "https://obs.mtlab.meitu.com/public/EtRGxLI8ulQ43pGhuZfym9aYUD2PUbMP/MTcwOTE4MjgwMA==/58fdb25d-8e6f-4026-4a5e-45d9894190a4.png",
      "profile": {
        "media_profiles": {
          "media_data_type": "url"
        },
        "version": "v1"
      }
    }
  ],
  "params": "{\"rsp_media_type\":\"url\",\"parameter\":{\"return_attributes\":\"gender,age,race,beauty,glasses,mustache,emotion,eyelid,poseestimation\",\"return_landmark\":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
字段类型参数说明
request_idString请求 ID
trace_idString链路追踪 ID
codeNumberHTTP 层状态码,0 表示成功
error_codeNumber业务错误码,0 表示成功,详见 API 错误码
messageString返回信息,成功时为 success
tipsany补充提示,可为 null
dataObject返回的业务数据

data 字段说明

字段类型参数说明
statusNumber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任务处理结果
progressNumber任务进度,取值范围 0~1,1 表示完成
predict_elapsedNumber预测处理耗时,单位:毫秒
create_timeNumber任务创建时间戳,单位:毫秒
task_idString任务 ID
custom_task_idString自定义任务 ID
trace_idString跟踪 ID
client_infoString客户端信息
init_imagesArray初始输入媒体信息

result 字段说明

字段类型参数说明
idString任务唯一 ID
urlsArray输出媒体 URL 列表
parametersObject请求参数,示例:{"landmark_type":0,"version":"2.0.0"}
dataObject任务处理结果数据
imagesArray输出图像 URL 列表
mtlab_resObject原始返回结果(与 data 内容一致)
media_info_listArray媒体信息列表

media_info_list 字段说明

字段类型参数说明
media_dataString媒体数据(可为 Base64 或空)
media_extraObject媒体额外信息
media_profilesObject媒体 profile 信息,通常为空

faces 字段说明

字段类型说明
face_attributesObject人脸属性特征,具体包含的信息见下表。
face_rectangleObject人脸矩形框的位置,包括以下属性,所有数字都是百分比:
left 用图片宽的百分比,表示人脸框左上角横坐标;top 用图片高的百分比,表示人脸框左上角纵坐标;width 用图片宽的百分比,表示人脸框宽度;height 用图片高的百分比,表示人脸框高度。
face_landmarkList人脸关键点坐标数组

face_attributes 字段说明

字段类型说明
genderObject"gender": {"value": 1} 性别分析结果,value的值为1代表男性,0代表女性
ageObject "age": {"value": 21} 年龄分析结果,value的值为一个非负整数,标识估计的年龄
raceObject"race":{"value": 0} 人种分析结果,value的值为0代表白人,1代表亚洲人,2代表黑人,3代表印度北方人,4代表印度南方人,5代表东南亚人
beauty_scoreObject"beauty_score":{"value": 90} 颜值分析,数值0-100
emotionObject"emotion":{"value": 0} 情绪分析结果,value的值为 0代表伤心,1代表平静,2代表微笑,3代表大笑,4代表惊讶,5代表恐惧,6代表愤怒,7代表厌恶
right_eyelidObject"right_eyelid":{"value": 0} 右眼皮分析结果,value的值为0代表右眼单眼皮,1代表右眼双眼皮,2代表右眼内双眼皮
left_eyelidObject"left_eyelid":{"value": 0} 左眼皮分析结果,value的值为0代表左眼单眼皮,1代表左眼双眼皮,2代表左眼内双眼皮
glasses_typeObject"glasses_type":{"value": 0} 眼镜类型分析结果,value的值为0代表无眼镜,1代表普通眼镜,2代表太阳眼镜
glasses_thickObject"glasses_thick":{"value": 0} 眼镜框粗细分析结果,value的值为0代表无眼镜,1代表细的眼镜框,2代表粗的眼镜框
glasses_sizeObject"glasses_size":{"value": 0} 眼镜框大小分析结果,value的值为0代表无眼镜,1代表大的眼镜框,2代表小的眼镜框
glasses_frameObject"glasses_frame":{"value": 0} 全框/半框/无框眼镜分析结果,value的值为0代表无眼镜,1代表无边框,2代表全框,3代表半框
glasses_shapeObject"glasses_shape":{"value": 0} 框的形状分析结果,value的值为0代表无眼镜,1代表其他形状,2代表方形框,3代表圆形框
mustache_typeObject"mustache_type":{"value": 0} 胡子类型分析结果,value的值为0代表无胡须,1代表胡渣,2代表胡须
mustache_lengthObject"mustache_length":{"value": 0} 胡子长度分析结果,value的值为0代表无胡须,1代表短胡,2代表中胡,3代表长胡
mustache_shapeObject"mustache_shape":{"value": 0} 胡子形状分析结果,value的值为0代表无胡须,1代表半山羊,2代表全山羊,3代表八字胡,4代表全胡须,5代表络腮胡
mustache_thickObject"mustache_thick":{"value": 0} 胡子浓密分析结果,value的值为0代表无胡须,1代表稀疏,2代表浓密
roll_angleObject"roll_angle": {"value": 1.1601325273513794} 人脸左右转角,value的值为人脸左右转角度值
yaw_angleObject"yaw_angle": {"value": 6.59846305847168} 人脸旋转角,value的值为人脸旋转角度值
pitch_angleObject"pitch_angle": {"value": 13.970479011535645} 人脸俯仰角,value的值为人脸俯仰角度值
translate_xObject"translate_x": {"value": -10.500459671020508} 人脸X轴平移量,value的值为人脸X轴平移量
translate_yObject"translate_y": {"value": 1.797804832458496} 人脸Y轴平移量,value的值为人脸Y轴平移量
translate_zObject"translate_z": {"value": 417.212646484375} 人脸Z轴平移量,value的值为人脸Z轴平移量

备注:欧拉角是以中心为点,立体坐标系以左上角为点。

face_rectangle 字段说明

字段类型参数说明
leftFloat人脸框左上角 X 坐标(图片宽的百分比)
topFloat人脸框左上角 Y 坐标(图片高的百分比)
widthFloat人脸框宽度(图片宽的百分比)
heightFloat人脸框高度(图片高的百分比)

return_landmark 可选值说明

含义
0不返回人脸关键点
1返回 106 点百分比关键点
2返回 106 点实值关键点
3返回 118 点百分比关键点
4返回 118 点实值关键点
5返回 171 点百分比关键点
6返回 171 点实值关键点

失败返回值说明

字段类型说明
dataString返回的内容
messageString错误信息
error_codeNumber错误代码

当前API特有的错误代码与信息

ErrorCode状态代码错误信息说明
20001 PROCESS_ERROR处理错误 

返回值示例

请求成功返回示例

{
  "request_id": "",
  "trace_id": "",
  "code": 0,
  "error_code": 0,
  "message": "success",
  "tips": null,
  "data": {
    "status": 10,
    "result": {
      "id": "t_mt1a3i5n7b2e53ffab-xxxx-4802-a5ff-dc812744ffa7",
      "media_info_list": [
        {
          "media_data": "",
          "media_extra": {
            "faces": [
              {
                "face_attributes": {
                  "age": {"value": 17},
                  "gender": {"value": 0}
                },
                "face_rectangle": {
                  "height": 0.052405804,
                  "left": 0.37931174,
                  "top": 0.26455134,
                  "width": 0.069874406
                }
              }
            ]
          },
          "media_profiles": null
        }
      ]
    },
    "progress": 1,
    "predict_elapsed": 10000,
    "create_time": 1770290367382,
    "task_id": "t_mt1a3i5n7b2e53ffab-xxxx-4802-a5ff-dc812744ffa7",
    "custom_task_id": "",
    "trace_id": "",
    "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": "",
  "trace_id": "",
  "code": 0,
  "error_code": 0,
  "message": "success",
  "tips": null,
  "data": {
    "status": 9,
    "result": {
      "id": "t_mt1a3i5n7b2e53ffab-xxxx-4802-a5ff-dc812744ffa7"
    },
    "progress": 0,
    "predict_elapsed": 10000,
    "create_time": 1770290367382,
    "task_id": "t_mt1a3i5n7b2e53ffab-xxxx-4802-a5ff-dc812744ffa7",
    "custom_task_id": "",
    "trace_id": "e3642be0-xxxx-41ba-af05-92098703fd58",
    "client_info": "",
    "init_images": null
  }
}

完整算法成功返回示例

Response Status:200 content-type 为 application/json; charset=utf-8

{
  "request_id": "",
  "trace_id": "",
  "code": 0,
  "error_code": 0,
  "message": "success",
  "tips": null,
  "data": {
    "status": 10,
    "result": {
      "id": "t_mt1a3i5n7b2e53ffab-xxxx-4802-a5ff-dc812744ffa7",
      "urls": [
        ""
      ],
      "parameters": {
        "landmark_type": 0,
        "version": "2.0.0"
      },
      "data": {
        "ErrorCode": 0,
        "ErrorMsg": "",
        "error_code": 0,
        "error_msg": "",
        "media_info_list": [
          {
            "media_data": "",
            "media_extra": {
              "faces": [
                {
                  "face_attributes": {
                    "age": {
                      "value": 17
                    },
                    "beauty_score": {
                      "value": 87
                    },
                    "emotion": {
                      "value": 1
                    },
                    "gender": {
                      "value": 0
                    },
                    "glasses_frame": {
                      "value": 0
                    },
                    "glasses_shape": {
                      "value": 0
                    },
                    "glasses_size": {
                      "value": 0
                    },
                    "glasses_thick": {
                      "value": 0
                    },
                    "glasses_type": {
                      "value": 0
                    },
                    "left_eyelid": {
                      "value": 1
                    },
                    "mustache_length": {
                      "value": 0
                    },
                    "mustache_shape": {
                      "value": 0
                    },
                    "mustache_thick": {
                      "value": 0
                    },
                    "mustache_type": {
                      "value": 0
                    },
                    "pitch_angle": {
                      "value": -2.675837516784668
                    },
                    "race": {
                      "value": 1
                    },
                    "right_eyelid": {
                      "value": 2
                    },
                    "roll_angle": {
                      "value": -7.028405666351318
                    },
                    "translate_x": {
                      "value": -118.0142822265625
                    },
                    "translate_y": {
                      "value": -418.3360595703125
                    },
                    "translate_z": {
                      "value": 2067.922119140625
                    },
                    "yaw_angle": {
                      "value": -27.13144302368164
                    }
                  },
                  "face_rectangle": {
                    "height": 0.052405804,
                    "left": 0.37931174,
                    "top": 0.26455134,
                    "width": 0.069874406
                  }
                }
              ]
            },
            "media_profiles": null
          }
        ],
        "msg_id": "",
        "parameter": {
          "landmark_type": 0,
          "version": "2.0.0"
        }
      },
      "images": [
        ""
      ],
      "mtlab_res": {
        "ErrorCode": 0,
        "ErrorMsg": "",
        "error_code": 0,
        "error_msg": "",
        "media_info_list": [
          {
            "media_data": "",
            "media_extra": {
              "faces": [
                {
                  "face_attributes": {
                    "age": {
                      "value": 17
                    },
                    "beauty_score": {
                      "value": 87
                    },
                    "emotion": {
                      "value": 1
                    },
                    "gender": {
                      "value": 0
                    },
                    "glasses_frame": {
                      "value": 0
                    },
                    "glasses_shape": {
                      "value": 0
                    },
                    "glasses_size": {
                      "value": 0
                    },
                    "glasses_thick": {
                      "value": 0
                    },
                    "glasses_type": {
                      "value": 0
                    },
                    "left_eyelid": {
                      "value": 1
                    },
                    "mustache_length": {
                      "value": 0
                    },
                    "mustache_shape": {
                      "value": 0
                    },
                    "mustache_thick": {
                      "value": 0
                    },
                    "mustache_type": {
                      "value": 0
                    },
                    "pitch_angle": {
                      "value": -2.675837516784668
                    },
                    "race": {
                      "value": 1
                    },
                    "right_eyelid": {
                      "value": 2
                    },
                    "roll_angle": {
                      "value": -7.028405666351318
                    },
                    "translate_x": {
                      "value": -118.0142822265625
                    },
                    "translate_y": {
                      "value": -418.3360595703125
                    },
                    "translate_z": {
                      "value": 2067.922119140625
                    },
                    "yaw_angle": {
                      "value": -27.13144302368164
                    }
                  },
                  "face_rectangle": {
                    "height": 0.052405804,
                    "left": 0.37931174,
                    "top": 0.26455134,
                    "width": 0.069874406
                  }
                }
              ]
            },
            "media_profiles": null
          }
        ],
        "msg_id": "",
        "parameter": {
          "landmark_type": 0,
          "version": "2.0.0"
        }
      },
      "media_info_list": [
        {
          "media_data": "",
          "media_extra": {
            "faces": [
              {
                "face_attributes": {
                  "age": {
                    "value": 17
                  },
                  "beauty_score": {
                    "value": 87
                  },
                  "emotion": {
                    "value": 1
                  },
                  "gender": {
                    "value": 0
                  },
                  "glasses_frame": {
                    "value": 0
                  },
                  "glasses_shape": {
                    "value": 0
                  },
                  "glasses_size": {
                    "value": 0
                  },
                  "glasses_thick": {
                    "value": 0
                  },
                  "glasses_type": {
                    "value": 0
                  },
                  "left_eyelid": {
                    "value": 1
                  },
                  "mustache_length": {
                    "value": 0
                  },
                  "mustache_shape": {
                    "value": 0
                  },
                  "mustache_thick": {
                    "value": 0
                  },
                  "mustache_type": {
                    "value": 0
                  },
                  "pitch_angle": {
                    "value": -2.675837516784668
                  },
                  "race": {
                    "value": 1
                  },
                  "right_eyelid": {
                    "value": 2
                  },
                  "roll_angle": {
                    "value": -7.028405666351318
                  },
                  "translate_x": {
                    "value": -118.0142822265625
                  },
                  "translate_y": {
                    "value": -418.3360595703125
                  },
                  "translate_z": {
                    "value": 2067.922119140625
                  },
                  "yaw_angle": {
                    "value": -27.13144302368164
                  }
                },
                "face_rectangle": {
                  "height": 0.052405804,
                  "left": 0.37931174,
                  "top": 0.26455134,
                  "width": 0.069874406
                }
              }
            ]
          },
          "media_profiles": null
        }
      ]
    },
    "progress": 0,
    "predict_elapsed": 10000,
    "create_time": 1770290367382,
    "task_id": "t_mt1a3i5n7b2e53ffab-xxxx-4802-a5ff-dc812744ffa7",
    "custom_task_id": "",
    "trace_id": "",
    "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": "",
  "trace_id": "",
  "code": 0,
  "error_code": 20001,
  "message": "PROCESS_ERROR",
  "tips": null,
  "data": {
    "status": 2,
    "result": {
      "error_code": 20001,
      "error_msg": "PROCESS_ERROR"
    },
    "progress": 0,
    "predict_elapsed": 0,
    "create_time": 1770290367382,
    "task_id": "t_mt1a3i5n7b2e53ffab-xxxx-4802-a5ff-dc812744ffa7",
    "custom_task_id": "",
    "trace_id": "",
    "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": "gender,age,race,beauty,glasses,mustache,emotion,eyelid,poseestimation",
            "return_landmark": 0,
        },
    }
    payload = {
        "task": "/v1/Macro_facial_analysis/487163",
        "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/Macro_facial_analysis/487163",
  "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\":\"gender,age,race,beauty,glasses,mustache,emotion,eyelid,poseestimation\",\"return_landmark\":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' => 'gender,age,race,beauty,glasses,mustache,emotion,eyelid,poseestimation',
        'return_landmark' => 0,
    ],
]);

$body = json_encode([
    'task' => '/v1/Macro_facial_analysis/487163',
    '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/Macro_facial_analysis/487163\",\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\\\":\\\"gender,age,race,beauty,glasses,mustache,emotion,eyelid,poseestimation\\\",\\\"return_landmark\\\":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);
        }
    }
}