证件照制作/检测接口

POST https://api.shiliuai.com/api/id_photo/v1

{
  "code": 0,
  "msg": "OK",
  "msg_cn": "成功",
  "id": "xxxxxx",
  "result_base64": "/9j/4AAQSkZJRgABAQAAAQABAAD...（省略）",
  "layout_base64": "/9j/4AAQSkZJRgABAQAAAQABAAD...（可选，layout==1 时返回）",
  "info": {
    "qualified": true,
    "msg": "OK",
    "msg_cn": "合规",
    "width": 295,
    "height": 413
  },
  "advanced_info": {
    "qualified": true,
    "msg": "OK",
    "msg_cn": "高级合规"
  },
  "request_id": "req_xxxxxxxx"
}

# -*- coding: utf-8 -*-
import requests
import base64
import cv2
import json
import numpy as np

api_key = '******'  # 你的API KEY
file_path = '...'  # 图片路径

with open(file_path, 'rb') as fp:
    photo_base64 = base64.b64encode(fp.read()).decode('utf8')

url = 'https://api.shiliuai.com/api/id_photo/v1'
headers = {'APIKEY': api_key, "Content-type": "application/json"}
data = {
    "base64": photo_base64,
    "bgColor": "FFFFFF",
    "dpi": 300,
    "mmHeight": 35,
    "mmWidth": 25
}

response = requests.post(url=url, headers=headers, json=data)
response = json.loads(response.content)
"""
成功：{'code': 0, 'msg': 'OK', 'msg_cn': '成功', 'id': id, 'result_base64': result_base64}
or
失败：{'code': error_code, 'msg': error_msg, 'msg_cn': 错误信息}
"""
result_base64 = response.get('result_base64', '')
img_id = response.get('id', '')
file_bytes = base64.b64decode(result_base64) if result_base64 else b''
if file_bytes:
    with open('result.jpg', 'wb') as f:
        f.write(file_bytes)

    image = np.asarray(bytearray(file_bytes), dtype=np.uint8)
    image = cv2.imdecode(image, cv2.IMREAD_COLOR)
    cv2.imshow('result', image)
    cv2.waitKey(0)

# 同一张图片，参数改变，再次请求（复用 id）
data2 = {
    "id": img_id,
    "bgColor": "FF0000",
    "dpi": 300,
    "pxHeight": 640,
    "pxWidth": 480
}
response2 = requests.post(url=url, headers=headers, json=data2)
response2 = json.loads(response2.content)

<?php
$url = "https://api.shiliuai.com/api/id_photo/v1";
$method = "POST";
$apikey = "******";
$header = array();
array_push($header, "APIKEY:" . $apikey);
array_push($header, "Content-Type:application/json");

$file_path = "...";
$handle = fopen($file_path, "r");
$photo = fread($handle, filesize($file_path));
fclose($handle);
$photo_base64 = base64_encode($photo);

$data = array(
  "base64"=> $photo_base64,
  "bgColor"=>"FFFFFF",
  "dpi"=>300,
  "mmHeight"=>35,
  "mmWidth"=>25
);
$post_data = json_encode($data);

$curl = curl_init();
curl_setopt($curl, CURLOPT_CUSTOMREQUEST, $method);
curl_setopt($curl, CURLOPT_URL, $url);
curl_setopt($curl, CURLOPT_HTTPHEADER, $header);
curl_setopt($curl, CURLOPT_POSTFIELDS, $post_data);
curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
curl_setopt($curl, CURLOPT_SSL_VERIFYHOST, false);

$response = curl_exec($curl);
var_dump($response);

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.file.Files;
import java.util.Base64;
import org.json.JSONObject;

public class IDPhotoAPIExample {

    public static void main(String[] args) {
        String apiKey = "******"; // 你的API KEY
        String filePath = "path/to/your/image.jpg"; // 图片路径

        try {
            // 读取图片并编码为 Base64
            byte[] fileBytes = Files.readAllBytes(new File(filePath).toPath());
            String photoBase64 = Base64.getEncoder().encodeToString(fileBytes);

            // API 请求的 URL
            String apiUrl = "https://api.shiliuai.com/api/id_photo/v1";

            // 请求参数 (初次请求)
            JSONObject requestData = new JSONObject();
            requestData.put("base64", photoBase64);
            requestData.put("bgColor", "FFFFFF");
            requestData.put("dpi", 300);
            requestData.put("mmHeight", 35);
            requestData.put("mmWidth", 25);

            // 发送 POST 请求
            JSONObject response = sendPostRequest(apiUrl, apiKey, requestData);

            // 检查响应是否成功
            if (response.getInt("code") == 0) {
                String resultBase64 = response.getString("result_base64");
                String id = response.getString("id");

                // 解码并保存图片
                byte[] resultBytes = Base64.getDecoder().decode(resultBase64);
                try (FileOutputStream fos = new FileOutputStream("result.jpg")) {
                    fos.write(resultBytes);
                }

                System.out.println("图片生成成功，文件已保存为 result.jpg");

                // 同一张图片，参数改变，再次请求
                JSONObject newRequestData = new JSONObject();
                newRequestData.put("id", id);
                newRequestData.put("bgColor", "FF0000");
                newRequestData.put("dpi", 300);
                newRequestData.put("pxHeight", 640);
                newRequestData.put("pxWidth", 480);

                // 发送新的请求
                JSONObject newResponse = sendPostRequest(apiUrl, apiKey, newRequestData);
                if (newResponse.getInt("code") == 0) {
                    String newResultBase64 = newResponse.getString("result_base64");
                    byte[] newResultBytes = Base64.getDecoder().decode(newResultBase64);
                    try (FileOutputStream fos = new FileOutputStream("result_red_bg.jpg")) {
                        fos.write(newResultBytes);
                    }
                    System.out.println("参数改变后的图片生成成功，文件已保存为 result_red_bg.jpg");
                } else {
                    System.out.println("新的请求失败: " + newResponse.getString("msg_cn"));
                }

            } else {
                System.out.println("初次请求失败: " + response.getString("msg_cn"));
            }

        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    // 发送 POST 请求
    private static JSONObject sendPostRequest(String urlStr, String apiKey, JSONObject jsonData) throws IOException {
        URL url = new URL(urlStr);
        HttpURLConnection conn = (HttpURLConnection) url.openConnection();
        conn.setRequestMethod("POST");
        conn.setRequestProperty("APIKEY", apiKey);
        conn.setRequestProperty("Content-Type", "application/json");
        conn.setDoOutput(true);

        // 写入请求数据
        try (OutputStream os = conn.getOutputStream()) {
            byte[] input = jsonData.toString().getBytes("utf-8");
            os.write(input, 0, input.length);
        }

        // 读取响应
        StringBuilder response = new StringBuilder();
        try (BufferedReader br = new BufferedReader(new InputStreamReader(conn.getInputStream(), "utf-8"))) {
            String responseLine;
            while ((responseLine = br.readLine()) != null) {
                response.append(responseLine.trim());
            }
        }

        return new JSONObject(response.toString());
    }
}

const fs = require('fs');
const fetch = require('node-fetch'); // 需安装：npm install node-fetch

const apiKey = '******'; // 你的API KEY
const filePath = 'path/to/your/image.jpg'; // 图片路径

(async () => {
  try {
    // 读取图片并编码为 Base64
    const fileBuffer = fs.readFileSync(filePath);
    const photoBase64 = fileBuffer.toString('base64');

    // API 请求的 URL
    const apiUrl = 'https://api.shiliuai.com/api/id_photo/v1';

    // 请求参数 (初次请求)
    const requestData = {
      base64: photoBase64,
      bgColor: "FFFFFF",
      dpi: 300,
      mmHeight: 35,
      mmWidth: 25
    };

    // 发送 POST 请求
    let response = await fetch(apiUrl, {
      method: 'POST',
      headers: {
        'APIKEY': apiKey,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify(requestData)
    });

    let responseData = await response.json();

    // 检查响应是否成功
    if (responseData.code === 0) {
      const resultBase64 = responseData.result_base64;
      const id = responseData.id;

      // 解码并保存图片
      const resultBuffer = Buffer.from(resultBase64, 'base64');
      fs.writeFileSync('result.jpg', resultBuffer);
      console.log("图片生成成功，文件已保存为 result.jpg");

      // 同一张图片，参数改变，再次请求
      const newRequestData = {
        id: id,
        bgColor: "FF0000",
        dpi: 300,
        pxHeight: 640,
        pxWidth: 480
      };

      response = await fetch(apiUrl, {
        method: 'POST',
        headers: {
          'APIKEY': apiKey,
          'Content-Type': 'application/json'
        },
        body: JSON.stringify(newRequestData)
      });

      responseData = await response.json();

      if (responseData.code === 0) {
        const newResultBase64 = responseData.result_base64;
        const newResultBuffer = Buffer.from(newResultBase64, 'base64');
        fs.writeFileSync('result_red_bg.jpg', newResultBuffer);
        console.log("参数改变后的图片生成成功，文件已保存为 result_red_bg.jpg");
      } else {
        console.error("新的请求失败:", responseData.msg_cn);
      }

    } else {
      console.error("初次请求失败:", responseData.msg_cn);
    }
  } catch (error) {
    console.error("发生错误:", error);
  }
})();