Simple face recognition function based on ASP.NET using C #

Others 2019-07-03 03:59:12 views: null
(Blog layout of the garden Markdown is too unfriendly, right (to force forced whisper))

Case Summary

This case based on ASP.NET and Baidu cloud face database, the main achievement static face and add a static face detection function, it is the author of a little exercise Demo

Use of tools

The main use of VS 2017, MS SQL Server database and Baidu cloud face database

Realization of functions

  • Face Registration
  • Face Search

Functions and code shows

Background knowledge

Create a Baidu face database

1. Open your browser to log Baidu cloud intelligent , (Baidu account to log in)

2. Application List | create applications


3. face database management | select just created a good application

4. Create a new grouping in this application (this packet will after upload pictures to use information)

The project used in class

1.AccessToken.cs

The main function: Get the face database will be created when the API Key and Sercet Key, json string into the pass Baidu Cloud face recognition interfaces, and create your own face database to establish a connection and get connected credentials.
Return back Access_Token json string is contained in this certificate.

This class is not written by the author, it is a way to call the api documentation provided by Baidu cloud ( Click here to visit ), on the basis of this document, the author made some changes, the formation of the following classes.

using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Web.Script.Serialization;

namespace com.baidu.ai
{
    public static class AccessToken

    {
        // 调用getAccessToken()获取的 access_token建议根据expires_in 时间 设置缓存
        // 返回token示例
        public static String TOKEN = "24.adda70c11b9786206253ddb70affdc46.2592000.1493524354.282335-1234567";

        // 百度云中开通对应服务应用的 API Key 建议开通应用的时候多选服务
        private static String clientId = "*********";
        // 百度云中开通对应服务应用的 Secret Key
        private static String clientSecret = "**********";

        public static String getAccessToken()
        {
            String authHost = "https://aip.baidubce.com/oauth/2.0/token";
            HttpClient client = new HttpClient();
            List<KeyValuePair<String, String>> paraList = new List<KeyValuePair<string, string>>();
            paraList.Add(new KeyValuePair<string, string>("grant_type", "client_credentials"));
            paraList.Add(new KeyValuePair<string, string>("client_id", clientId));
            paraList.Add(new KeyValuePair<string, string>("client_secret", clientSecret));

            HttpResponseMessage response = client.PostAsync(authHost, new FormUrlEncodedContent(paraList)).Result;
            String result = response.Content.ReadAsStringAsync().Result;
            Console.WriteLine(result);


            //获取返回的字符串
            //string test = AccessToken.getAccessToken();
            //Response.Write(test + "<br/>");


            //获取返回的Access_Token
            string Access_Token = "";
            JavaScriptSerializer Jss = new JavaScriptSerializer();
            Dictionary<string, object> DicText = (Dictionary<string, object>)Jss.DeserializeObject(result);
            //如果返回值中含有access_token，则将其值赋予Access_Token，不存在则说明获取失败。
            if (!DicText.ContainsKey("access_token"))
            {
                Access_Token = "获取Access_Token失败";
            }
            else
            {
                Access_Token = DicText["access_token"].ToString();
            }

            //Session["Token"] = Access_Token;
            //Response.Write(Access_Token);
            return Access_Token;
        }
    }
}

2.FaceAdd.cs

Main features: New face in the face database, and set the number and face grouping, this class is also based Baidu cloud development documents

using System;
using System.Collections.Generic;
using System.IO;
using System.Net;
using System.Text;
using System.Web;
using System.Web.Script.Serialization;

namespace com.baidu.ai
{
    public class FaceAdd
    {
        // 人脸注册
        ///参数说明：token->之前获取的Access_Token，base64->图片数据，tel->人脸编号
        public static string add(string token,string base64,string tel)
        {
            //string token = "[调用鉴权接口获取的token]";
            string host = "https://aip.baidubce.com/rest/2.0/face/v3/faceset/user/add?access_token=" + token;
            Encoding encoding = Encoding.Default;
            HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
            request.Method = "post";
            request.KeepAlive = true;

            //将数据写入json字符串中
            Dictionary<String, String> dic = new Dictionary<string, string>();
            dic.Add("image", base64);
            dic.Add("image_type", "BASE64");
            //人脸库里的分组名
            dic.Add("group_id", "Users");
            //这个人脸的编号
            dic.Add("user_id", tel);
            //图片质量检测，Low表示可以接受较低画质的人脸数据
            dic.Add("quality_control", "LOW");
            //活体检测，这里只是一个小Demo，所以没有添加活体检测的功能
            dic.Add("liveness_control", "NONE");
            JavaScriptSerializer js = new JavaScriptSerializer();
            String str = js.Serialize(dic);
            
            byte[] buffer = encoding.GetBytes(str);
            request.ContentLength = buffer.Length;
            request.GetRequestStream().Write(buffer, 0, buffer.Length);
            HttpWebResponse response = (HttpWebResponse)request.GetResponse();
            StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.Default);
            string result = reader.ReadToEnd();
            Console.WriteLine("人脸注册:");
            Console.WriteLine(result);
            return result;
        }
    }
}

3.FaceSearch.cs

The main function: get from the front face of the Base64 format picture information and face database already face comparison, matching the number and degree of match (percentile), refer to Baidu cloud face search .

using System;
using System.Collections.Generic;
using System.IO;
using System.Net;
using System.Text;
using System.Web;
using System.Web.Script.Serialization;

namespace com.baidu.ai
{
    public class FaceSearch
    {
        // 人脸搜索
        public static string Search(string token, string strbase64)
        {
            //服务器地址，Access_Token作为凭证
            string host = "https://aip.baidubce.com/rest/2.0/face/v3/search?access_token=" + token;
            Encoding encoding = Encoding.Default;
            HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
            request.Method = "post";
            request.KeepAlive = true;
            //序列化，生成json字符串
            Dictionary<String, String> dic = new Dictionary<string, string>();
            dic.Add("image", strbase64);
            dic.Add("image_type", "BASE64");
            dic.Add("group_id_list", "Users");
            dic.Add("quality_control", "LOW");
            dic.Add("liveness_control", "NONE");
            JavaScriptSerializer js = new JavaScriptSerializer();
            String str = js.Serialize(dic);

            byte[] buffer = encoding.GetBytes(str);
            request.ContentLength = buffer.Length;
            request.GetRequestStream().Write(buffer, 0, buffer.Length);
            HttpWebResponse response = (HttpWebResponse)request.GetResponse();
            StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.Default);
            string result = reader.ReadToEnd();
            Console.WriteLine("人脸搜索:");
            Console.WriteLine(result);
            return result;
        }
    }
}

The main class is actually above three categories, but for convenience json string values ​​from the above three classes and returned judgment, the author adds two more classes

4.SearchReturn.cs

主要功能：实现json的反序列化，这个类文件中的几个类定义了一个数据类型，用于存放FaceSearch返回的json字符串转换成的变量。
其关系是 SearchReturn>Result>User_List

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;

/// <summary>
/// SearchReturn 的摘要说明
/// </summary>
namespace com.baidu.ai
{
    public class SearchReturn
    {
        public int error_code { get; set; }
        public string error_msg { get; set; }
        public long log_id { get; set; }
        public int timestamp { get; set; }
        public int cached { get; set; }
        public Result result { get; set; }
    }

    public class Result
    {
        public string face_token { get; set; }
        public User_List[] user_list { get; set; }
    }

    public class User_List
    {
        public string group_id { get; set; }
        public string user_id { get; set; }
        public string user_info { get; set; }
        public float score { get; set; }
    }
}

5.ReturnResultDetect.cs

主要功能：基于FaceAdd和FaceSearch返回的json字符串，获取相应的值并返回相应的标记以帮助业务代码的实现。

（*需要在Nuget中添加Newtonsoft包）

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.Script.Serialization;
using Newtonsoft.Json.Linq;
using com.baidu.ai;
using Newtonsoft.Json;

/// <summary>
/// ReturnResultDetect 的摘要说明
/// </summary>
namespace com.baidu.ai
{
    public static class ReturnResultDetect
    {
        public static int GetFaceAddReturnResult(string strjson)
        {
            int BackResult = 0;
            SearchReturn feedback = JsonConvert.DeserializeObject<SearchReturn>(strjson);
            if (feedback.result==null)
            {
                BackResult = 0;
            }
            else
            {
                BackResult = 1;
            }
            return BackResult;
        }
        public static string GetFaceSearchReturnResult(string strjson)
        {
            string BackResult ="";
            int score = 0;
            //将收到的json字符串转化成SearchReturn类型的变量，即反序列化
            SearchReturn feedback = JsonConvert.DeserializeObject<SearchReturn>(strjson);
            if (feedback.result==null)
            {
                BackResult = "_0";   //未检测到人脸
            }
            else
            {
                score = Convert.ToInt32(feedback.result.user_list[0].score);
                if (score<80)
                {
                    BackResult = "_1";   //人脸不匹配
                }
                else
                {
                    BackResult = feedback.result.user_list[0].user_id;
                }
            }
            return BackResult;
        }
    }
}

人脸注册

人脸注册的图像获取主要是通过HTML5的Video标签和Canvas标签，原理是将前置摄像头的视频内容放到video中显示，然后通过点击按钮获取点击时刻的video截图，将图片信息放入canvas中保存，并且将图片内容编码为Base64再通过Hiddenfield控件传给后端，实现后端对图片信息的获取。

前端代码

/*<%@ Page Language="C#" AutoEventWireup="true" CodeFile="User_Face_Signup.aspx.cs" Inherits="User_Face_Signup" %>

<!DOCTYPE html>

<html xmlns="http://www.w3.org/1999/xhtml">
<head runat="server">
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
    <meta charset='UTF-8' />
    <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0,user-scalable=no">
    <title>人脸注册</title>
    <meta name="renderer" content="webkit">
    <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
    <meta name="viewport" content="width=device-width,user-scalable=yes, minimum-scale=0.4, initial-scale=0.8,target-densitydpi=low-dpi" />
    <link rel="stylesheet" href="./css/font.css">
    <link rel="stylesheet" href="./css/xadmin.css">
    <script type="text/javascript" src="https://cdn.bootcss.com/jquery/3.2.1/jquery.min.js"></script>
    <script type="text/javascript" src="./lib/layui/layui.js" charset="utf-8"></script>
    <script type="text/javascript" src="./js/xadmin.js"></script>
    <script type="text/javascript" src="./js/cookie.js"></script>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
</head>
<body>
    <form id="form1" runat="server">
        <div>
            <div>
                <%--<div></div>--%>
                <div style="margin-top: 80px; margin-left: 20%; width: 30%; padding: 10px" class="layui-bg-green">人脸注册</div>
                <div style="margin-left: 20%; margin-top: 20px">
                    <video id="video" autoplay="" style="width: 70%;"></video>
                </div>
                <div style="margin-top: 10px; margin-left: 20%; width: 70%">
                    <asp:Label ID="Label1" runat="server" Text="Label"></asp:Label>
                </div>
                    
                <div style="margin-top: 10px; margin-left: 20%; width: 30%">
                    <asp:Button ID="capture" runat="server" Text="提交并注册" OnClick="capture_Click" class="layui-btn" />
                </div>
                <%--<div style="margin-left: 20%; width: 70%">
                    <span style="color: #f00; font-size: smaller">
                        <asp:Label ID="Label1" runat="server" Text=""></asp:Label>
                    </span>
                </div>--%>

            </div>
           
        </div>*/
        <!-- 显示MediaStream视频流 -->
        <div>


            <asp:HiddenField ID="HiddenField1" runat="server" />
        </div>
        <div style="display: none">
            <canvas id="canvas" width="480" height="320"></canvas>
        </div>

        <script type="text/javascript">


            // 访问用户媒体设备的兼容方法
            function getUserMedia(constraints, success, error) {
                if (navigator.mediaDevices.getUserMedia) {
                    // 最新的标准API
                    navigator.mediaDevices.getUserMedia(constraints)
                        .then(success).catch(error);
                } else if (navigator.webkitGetUserMedia) {
                    // Webkit核心浏览器
                    navigator.webkitGetUserMedia(constraints, success, error);
                } else
                    if (navigator.mozGetUserMedia) {
                        // Firefox浏览器
                        navigator.mozGetUserMedia(constraints, success, error);
                    } else if (navigator.getUserMedia) {
                        // 旧版API
                        navigator.getUserMedia(constraints, success, error);
                    }
            }
            var video = document.getElementById("video");// video元素
            var canvas = document.getElementById("canvas");// canvas元素
            var context = canvas.getContext("2d");

            // 成功的回调函数
            function success(stream) {
                var CompatibleURL = window.URL || window.webkitURL
                video.src = CompatibleURL.createObjectURL(stream);//将视频流设置为video元素的源
                video.play();// 播放视频
            }

            // 异常的回调函数
            function error(error) {
                console.log('访问用户媒体设备失败：', error.name, error.message);
            }

            if (navigator.mediaDevices.getUserMedia || navigator.getUserMedia ||
                navigator.webkitGetUserMedia || navigator.mozGetUserMedia) {
                // 调用用户媒体设备，访问摄像头
                getUserMedia({ video: { width: 480, height: 320 } }, success, error);
            } else {
                alert('您的浏览器不支持访问用户媒体设备！');
            }

            // 绑定拍照按钮的点击事件
            document.getElementById("capture").addEventListener("click", function () {
                context.drawImage(video, 0, 0, 480, 320);
                // 将video画面在canvas上绘制出来
                var data = canvas.toDataURL('image/png', 1);    
                //将当前显示的图像传到Base64编码的字符串里
                document.getElementById('HiddenField1').value = data;  
                //将上面转换好的Base64编码传到C#的HiddenField里，方便后端取值
            });
            </script>

    </form>
</body>
</html>

后端代码

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;
using com.baidu.ai;
using System.Data;
using System.Data.Sql;
using System.Data.SqlClient;


public partial class User_Face_Signup : System.Web.UI.Page
{
    protected void Page_Load(object sender, EventArgs e)
    {
        Label1.Text= "<span style='color: #c2c2c2; font-size: x-small'>**请在光线充足的地方录入人脸以提高刷脸登录准确度！**<br />**准备好后点击下方按钮即可录入人脸！**</ span > ";
    }

    protected void capture_Click(object sender, EventArgs e)
    {
        //下面几个从session传过来的值是笔者这个项目里前一个页面的值，可以不看，但是为了保证程序完整性笔者还是将其放了上来
        string name = Session["UserName"].ToString();
        string tel = Session["UserTel"].ToString();
        string password = Session["UserPass"].ToString();
        string email = Session["UserMail"].ToString();

        string PreBase64 = HiddenField1.Value;
        string Base64 = "";
        
        //兼容各种不同的图片格式
        if (PreBase64.Contains("data:image/png;base64,"))
        {
            Base64 = PreBase64.Replace("data:image/png;base64,", "");
        }
        if(PreBase64.Contains("data:image/jpg; base64,"))
        {
            Base64 = PreBase64.Replace("data:image/jpg;base64,", "");
        }
        if (PreBase64.Contains("data:image/jpeg; base64,"))
        {
            Base64 = PreBase64.Replace("data:image/jpeg;base64,", "");
        }
        
        //调用类AccessToken中的getAccessToken方法，获取返回值Access_Token
        //注：Access_Token其实每次取值都可以保留一段时间，但是为了减少不必要的麻烦，笔者这里还是每次都获取新的Access_Token，代价是每次都要多连接一次人脸库，浪费时间
        string Access_Token = AccessToken.getAccessToken();
        //将图片信息和对应人脸编号传入，上传到服务器
        string Face_Add_Return = FaceAdd.add(Access_Token, Base64, tel);
        //获取人脸添加的返回值，1表示添加成功，否则为失败
        int Face_Add_Result = ReturnResultDetect.GetFaceAddReturnResult(Face_Add_Return);
        
        if (Face_Add_Result==1)
        {
            SqlConnection conn = new SqlConnection();
            conn.ConnectionString = System.Configuration.ConfigurationManager.ConnectionStrings["ConnectionStringProManage"].ConnectionString;
            try
            {
                conn.Open();
                string SQL = "insert into Users (uername,password,usertype,name,tel,email) values (@tel,@password,2,@name,@tel,@email)";

                SqlCommand cmd = new SqlCommand();
                cmd.Connection = conn;
                cmd.CommandType = CommandType.Text;
                cmd.CommandText = SQL;

                //依次添加每个字段的值
                SqlParameter ptel = new SqlParameter("@tel", SqlDbType.VarChar, 11);
                ptel.Value = tel;
                cmd.Parameters.Add(ptel);
                SqlParameter ppassword = new SqlParameter("@password", SqlDbType.VarChar, 20);
                ppassword.Value = password;
                cmd.Parameters.Add(ppassword);
                SqlParameter pname = new SqlParameter("@name", SqlDbType.NVarChar, 10);
                pname.Value = name;
                cmd.Parameters.Add(pname);
                SqlParameter pemail = new SqlParameter("@email", SqlDbType.NVarChar, 30);
                pemail.Value = email;
                cmd.Parameters.Add(pemail);

                int R = cmd.ExecuteNonQuery();  //R 的值就是返回影响表的行数
                if (R > 0)
                {
                    Session["ReturnPath"] = "Move_login.aspx";
                    Session["Message"] = "恭喜，注册成功！";
                    Response.Redirect("Success.aspx");
                }
                else
                {
                    Session["Message"] = "插入失败，请检查您的操作！";
                    Response.Redirect("Error.aspx");
                }
                //Session["ReturnPath"] = "Admin_Add.aspx";
                //Response.Redirect("Mid.aspx");
            }
            finally
            {
                conn.Close();
            }
        }
        else
        {
            Label1.Text = "<span style='color: #f00; font-size: smaller'>**未检测到人脸，请重试！**</span> ";
        }
        
    }
}

人脸搜索

人脸搜索和人脸注册的实现方式是类似的，只不过一个是写（注册），一个是读（搜索）。注册是把人脸信息录入人脸库，并给其分配一个唯一标识号——人脸编号，而搜索就是一个相反的过程，通过上传的人脸与数据库中的人脸对比，返回这个人脸编号和相似度。

前端代码

<%--和人脸注册的代码基本一致-->
<%@ Page Language="C#" AutoEventWireup="true" CodeFile="User_Face_Login.aspx.cs" Inherits="User_Face_Login" %>

<!DOCTYPE html>

<html xmlns="http://www.w3.org/1999/xhtml">
<head runat="server">
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
    <meta charset='UTF-8' />
    <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0,user-scalable=no"/>
    <title>刷脸登录</title>
    <meta name="renderer" content="webkit"/>
    <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"/>
    <meta name="viewport" content="width=device-width,user-scalable=yes, minimum-scale=0.4, initial-scale=0.8,target-densitydpi=low-dpi" />
    <link rel="stylesheet" href="./css/font.css"/>
    <link rel="stylesheet" href="./css/xadmin.css"/>
    <script type="text/javascript" src="https://cdn.bootcss.com/jquery/3.2.1/jquery.min.js"></script>
    <script type="text/javascript" src="./lib/layui/layui.js" charset="utf-8"></script>
    <script type="text/javascript" src="./js/xadmin.js"></script>
    <script type="text/javascript" src="./js/cookie.js"></script>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
</head>
<body>
    <form id="form1" runat="server">
        <div>
            <div>
                <%--<div></div>--%>
                <div style="margin-top: 80px; margin-left: 20%; width: 30%; padding: 10px" class="layui-bg-green">刷脸登录</div>
                <div style="margin-left: 20%; margin-top: 20px">
                    <video id="video" autoplay="" style="width: 70%;"></video>
                </div>
                <div style="margin-top: 10px; margin-left: 20%; width: 70%">
                    <asp:Label ID="Label1" runat="server" Text=""></asp:Label>
                </div>
                    
                <div style="margin-top: 10px; margin-left: 20%; width: 30%">
                    <asp:Button ID="capture" runat="server" Text="登录" OnClick="capture_Click" class="layui-btn" />
                </div>
                <%--<div style="margin-left: 20%; width: 70%">
                    <span style="color: #f00; font-size: smaller">
                        <asp:Label ID="Label1" runat="server" Text=""></asp:Label>
                    </span>
                </div>--%>

            </div>
           
        </div>
        <!-- 显示MediaStream视频流 -->
        <div>


            <asp:HiddenField ID="HiddenField1" runat="server" />
        </div>
        <div style="display: none">
            <canvas id="canvas" width="480" height="320"></canvas>
        </div>

        <script type="text/javascript">


            // 访问用户媒体设备的兼容方法
            function getUserMedia(constraints, success, error) {
                if (navigator.mediaDevices.getUserMedia) {
                    // 最新的标准API
                    navigator.mediaDevices.getUserMedia(constraints)
                        .then(success).catch(error);
                } else if (navigator.webkitGetUserMedia) {
                    // Webkit核心浏览器
                    navigator.webkitGetUserMedia(constraints, success, error);
                } else
                    if (navigator.mozGetUserMedia) {
                        // Firefox浏览器
                        navigator.mozGetUserMedia(constraints, success, error);
                    } else if (navigator.getUserMedia) {
                        // 旧版API
                        navigator.getUserMedia(constraints, success, error);
                    }
            }
            var video = document.getElementById("video");// video元素
            var canvas = document.getElementById("canvas");// canvas元素
            var context = canvas.getContext("2d");

            // 成功的回调函数
            function success(stream) {
                var CompatibleURL = window.URL || window.webkitURL
                video.src = CompatibleURL.createObjectURL(stream);//将视频流设置为video元素的源
                video.play();// 播放视频
            }

            // 异常的回调函数
            function error(error) {
                console.log('访问用户媒体设备失败：', error.name, error.message);
            }

            if (navigator.mediaDevices.getUserMedia || navigator.getUserMedia ||
                navigator.webkitGetUserMedia || navigator.mozGetUserMedia) {
                // 调用用户媒体设备，访问摄像头
                getUserMedia({ video: { width: 480, height: 320 } }, success, error);
            } else {
                alert('您的浏览器不支持访问用户媒体设备！');
            }

            // 绑定拍照按钮的点击事件
            document.getElementById("capture").addEventListener("click", function () {
                context.drawImage(video, 0, 0, 480, 320);// 将video画面在canvas上绘制出来
                var data = canvas.toDataURL('image/png', 1);
                document.getElementById('HiddenField1').value = data;
            });
            </script>

    </form>
</body>
</html>

后端代码

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;
using com.baidu.ai;

public partial class User_Face_Login : System.Web.UI.Page
{
    protected void Page_Load(object sender, EventArgs e)
    {
        Label1.Text = "<span style='color: #c2c2c2; font-size: x-small'>**请保持环境光线充足以提高刷脸登录准确度！**<br />**准备好后点击下方按钮即可登录！**</ span > ";
    }

    protected void capture_Click(object sender, EventArgs e)
    {
        //与上面类似的，获取前端传过来的Base64格式的图片编码
        string PreBase64 = HiddenField1.Value;
        string Base64 = "";
        if (PreBase64.Contains("data:image/png;base64,"))
        {
            Base64 = PreBase64.Replace("data:image/png;base64,", "");
        }
        if (PreBase64.Contains("data:image/jpg; base64,"))
        {
            Base64 = PreBase64.Replace("data:image/jpg;base64,", "");
        }
        if (PreBase64.Contains("data:image/jpeg; base64,"))
        {
            Base64 = PreBase64.Replace("data:image/jpeg;base64,", "");
        }
        //获取Access_Token，同上
        string Access_Token = AccessToken.getAccessToken();
        //获取返回的json字符串
        string feedback = FaceSearch.Search(Access_Token, Base64);
        //从返回的字符串中取值，并根据值给出相应的判断
        string backid = ReturnResultDetect.GetFaceSearchReturnResult(feedback);
        if (backid=="_0")
        {
            Label1.Text = "<span style='color: #f00; font-size: smaller'>**未检测到人脸，请重试！**</span> ";
        }
        else if (backid == "_1")
        {
            Label1.Text = "<span style='color: #f00; font-size: smaller'>**您尚未注册，请注册后登录**</span> ";
            Response.Redirect("Faca_Login_error.aspx");
        }
        else
        {
            Session["Move_Name"] = backid;
            Session["Move_Islogin"] = 2;
            Response.Redirect("Move_User.aspx");
        }
        
    }
}

本文是小弟在学习过程中做的一个小Demo，如有错误或者不当之处还请各位大佬斧正。

转载请注明原文链接。

Guess you like

Origin www.cnblogs.com/begonias/p/11122682.html
Recommended
微软回应中国区AI团队“打包赴美”传闻
Ranking
How to use ChatGPT to write 100,000+ hot articles for public accounts (includes prompt words)
sudo echo command execution Permission denied
ADO: Using Transactions to Operate Oracle Database
[Java] [Class and Object] equals, hashCode, clone methods
Linux virtual host function
Порт управления rabbitmq открыт
on,where
jQuery WeUI
How can there be a weed pilot in Hangzhou?
tcp / ip model four
Daily
More
2024-05-15(5)
2024-05-14(9)
2024-05-13(8)
2024-05-12(28)
2024-05-11(32)
2024-05-10(34)
2024-05-09(32)
2024-05-08(18)
2024-05-07(34)
2024-05-06(6)

Code World

© 2018 codetd.com