证件照成品检测接口

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

{
  "code": 0,
  "msg": "OK",
  "msg_cn": "成功",
  "id": "xxxxxx",
  "info": {
    "qualified": true,
    "msg": "OK",
    "msg_cn": "普通合规",
    "width": 413,
    "height": 626
  },
  "advanced_info": {
    "qualified": true,
    "msg": "OK",
    "msg_cn": "高级合规"
  },
  "request_id": "req_xxxxxxxx"
}

# -*- coding: utf-8 -*-
import requests
import base64
import json

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/qualify'
headers = {'APIKEY': api_key, "Content-type": "application/json"}
data = {
    "base64": photo_base64,
    "qualify": 1,
    "advancedQualify": 1
}

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, 'info': info, 'advanced_info': advanced_info}
or
失败：{'code': error_code, 'msg': error_msg, 'msg_cn': 错误信息}
"""

<?php
$url = "https://api.shiliuai.com/api/id_photo/v1/qualify";
$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,
  "qualify"=> 1,
  "advancedQualify"=> 1
);
$post_data = json_encode($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 IDPhotoQualifyAPIExample {

    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/qualify";

            // 请求参数
            JSONObject requestData = new JSONObject();
            requestData.put("base64", photoBase64);
            requestData.put("qualify", 1);
            requestData.put("advancedQualify", 1);

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

            // 检查响应是否成功
            if (response.getInt("code") == 0) {
                System.out.println("检测成功");
                System.out.println("普通合规信息: " + response.getJSONObject("info").toString());
                System.out.println("高级合规信息: " + response.getJSONObject("advanced_info").toString());
            } else {
                System.out.println("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/qualify';

    // 请求参数
    const requestData = {
      base64: photoBase64,
      qualify: 1,
      advancedQualify: 1
    };

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

    const responseData = await response.json();

    // 检查响应是否成功
    if (responseData.code === 0) {
      console.log('检测成功');
      console.log('普通合规信息:', responseData.info);
      console.log('高级合规信息:', responseData.advanced_info);
    } else {
      console.error('请求失败:', responseData.msg_cn);
    }
  } catch (error) {
    console.error('发生错误:', error);
  }
})();

using System;
using System.IO;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        var apiKey = "******";
        var filePath = "path/to/your/image.jpg";
        var url = "https://api.shiliuai.com/api/id_photo/v1/qualify";

        var photoBase64 = Convert.ToBase64String(File.ReadAllBytes(filePath));
        var request = new { base64 = photoBase64, qualify = 1, advancedQualify = 1 };
        var jsonData = JsonSerializer.Serialize(request);

        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("APIKEY", apiKey);

        var res = await client.PostAsync(url, new StringContent(jsonData, Encoding.UTF8, "application/json"));
        var json = await res.Content.ReadAsStringAsync();

        using var doc = JsonDocument.Parse(json);
        var root = doc.RootElement;
        var code = root.GetProperty("code").GetInt32();

        if (code == 0)
        {
            Console.WriteLine("检测成功");
            Console.WriteLine("普通合规信息: " + root.GetProperty("info").ToString());
            Console.WriteLine("高级合规信息: " + root.GetProperty("advanced_info").ToString());
        }
        else
        {
            var msg = root.TryGetProperty("msg_cn", out var msgCn) ? msgCn.GetString() : root.GetProperty("msg").GetString();
            Console.WriteLine("请求失败: " + msg);
        }
    }
}

版本 2
.支持库 spec
.支持库 dp1

.子程序 证件照检测_API_示例
.局部变量 局_网址, 文本型
.局部变量 局_方式, 整数型
.局部变量 局_提交数据, 文本型
.局部变量 局_提交协议头, 文本型
.局部变量 局_结果, 字节集
.局部变量 局_返回, 文本型
.局部变量 图片数据, 字节集
.局部变量 base64图片, 文本型

图片数据 ＝ 读入文件 ("你的图片路径.jpg")
base64图片 ＝ 编码_BASE64编码 (图片数据)
局_提交数据 ＝ "{" ＋ #引号 ＋ "base64" ＋ #引号 ＋ ":" ＋ #引号 ＋ base64图片 ＋ #引号 ＋ "," ＋ #引号 ＋ "qualify" ＋ #引号 ＋ ":1," ＋ #引号 ＋ "advancedQualify" ＋ #引号 ＋ ":1}"
局_网址 ＝ "https://api.shiliuai.com/api/id_photo/v1/qualify"
局_方式 ＝ 1
局_提交协议头 ＝ "APIKEY: 你的APIKEY" ＋ #换行符 ＋ "Content-Type: application/json"
局_结果 ＝ 网页_访问_对象 (局_网址, 局_方式, 局_提交数据, , , 局_提交协议头, , , , , , , , , , , , , )
局_返回 ＝ 到文本 (编码_编码转换对象 (局_结果, , , ))
返回 (局_返回)

public static string Api_Qualify(Image image, string apiKey)
{
    string url = "https://api.shiliuai.com/api/id_photo/v1/qualify";
    var headers = new Dictionary
    {
        {"Authorization", "APPCODE " + appcode},
        {"Content-Type", "application/json"}
    };
    string body = "{\"base64\":\"" + CustomHelp.ImageTobase64(image) + "\",\"qualify\":1,\"advancedQualify\":1}";
    return CustomHelp.HttpPost(url, body, headers);
}

Import "Encrypt.dll"
VBSBegin
Function Base64Encode(filePath)
    Set inStream = CreateObject("ADODB.Stream")
    inStream.Type = 1
    inStream.Open
    inStream.LoadFromFile filePath
    inStream.Position = 0
    Set dom = CreateObject("MSXML2.DOMDocument")
    Set elem = dom.createElement("tmp")
    elem.dataType = "bin.base64"
    elem.nodeTypedValue = inStream.Read
    Base64Encode = elem.Text
    inStream.Close
End Function

Function api_qualify(apiKey, imgPath)
    url = "https://api.shiliuai.com/api/id_photo/v1/qualify"
    jsonBody = "{""base64"":""" & Base64Encode(imgPath) & """,""qualify"":1,""advancedQualify"":1}"
    Set http = CreateObject("MSXML2.XMLHTTP")
    http.Open "POST", url, False
    http.setRequestHeader "APIKEY", apiKey
    http.setRequestHeader "Content-Type", "application/json"
    http.send jsonBody
    api_qualify = http.responseText
End Function
VBSEnd

apiKey = "你的APIKEY"
res = api_qualify(apiKey, "你的图片路径.jpg")
TracePrint res

Import "yd.luae"
Import "zm.luae"

Dim imagePath = "/sdcard/Pictures/test.png"
SnapShotEx imagePath

Function api_qualify(apiKey, imagePath)
    Dim url = "https://api.shiliuai.com/api/id_photo/v1/qualify"
    Dim body = "{""base64"":""" & yd.Base64EncodeFile(imagePath) & """,""qualify"":1,""advancedQualify"":1}"
    Dim headers = {null}
    headers["APIKEY"] = apiKey
    headers["Content-Type"] = "application/json"
    Dim res = yd.HttpPost(url, body, headers)
    api_qualify = yd.JsonDecode(res)
End Function

Dim apiKey = "你的APIKEY"
Dim res = api_qualify(apiKey, imagePath)
TracePrint res["code"]

require("tsnet")
require "TSLib"
local ts = require("ts")
local json = ts.json

function readFileBase64(path)
    local f = io.open(path,"rb")
    if not f then return nil end
    local bytes = f:read("*all")
    f:close()
    return bytes:base64_encode()
end

function api_qualify(apiKey, imagePath)
    local url = "https://api.shiliuai.com/api/id_photo/v1/qualify"
    local body = json.encode({ base64 = readFileBase64(imagePath), qualify = 1, advancedQualify = 1 })
    local headers = {}
    headers["APIKEY"] = apiKey
    headers["Content-Type"] = "application/json"
    local resp = httpPost(url, body, { headers = headers })
    return json.decode(resp)
end

function api_qualify(apiKey, imagePath)
    local url = "https://api.shiliuai.com/api/id_photo/v1/qualify"
    local body = jsonLib.encode({ base64 = getFileBase64(imagePath), qualify = 1, advancedQualify = 1 })
    local headers = {}
    headers["APIKEY"] = apiKey
    headers["Content-Type"] = "application/json"
    local resp = httpPost(url, body, { headers = headers })
    return jsonLib.decode(resp)
end

function main()
    local request = image.requestScreenCapture(10000, 0)
    if not request then
        request = image.requestScreenCapture(10000, 0)
    end
    local apiKey = "你的APIKEY"
    local img = image.captureFullScreenEx()
    console.time("t")
    local res = api_qualify(apiKey, img)
    logd(console.timeEnd("t"))
    logd(res.code)
end

function api_qualify(apiKey, img)
    local url = "https://api.shiliuai.com/api/id_photo/v1/qualify"
    local imgBase64 = image.toBase64Format(img, "jpg", 100)
    image.recycle(img)
    local body = JSON.stringify({ base64 = imgBase64, qualify = 1, advancedQualify = 1 })
    local params = {
        url = url,
        method = "POST",
        headers = {
            ["APIKEY"] = apiKey,
            ["Content-Type"] = "application/json"
        },
        requestBody = body
    }
    local res = http.request(params)
    return JSON.parse(res.body)
end