C#winforms实现windows窗体人脸识别

在之前我写过一篇博客，是关于javaweb实现人脸识别，包括数据库以及java源码，还有相关的jar包都已经上传了，有想要了解的可以去看看，地址是：java实现人脸识别源码
实现了之后又正好朋友开发C#，想要我顺便给写个小功能的人脸识别，于是我就打开我的笔记本就干起代码了，既然java都实现了，难不成还怕个C#实现不了？web端的已经实现了一遍，这次偶就来个高难度的，用winfroms写了一个玩玩，废话不多说，步入正题！
首先我们来先整一个数据库，我这使用的版本：
数据库：sql server2012
C#开发工具：Visual Studio2012
操作系统：win10 家庭版

一、创建一个数据库，名为TestFaceDB

里面有一张表就OK了，表名Users,表里面有几个字段我说明一下：
id——————–bigint———————-编号
name————–varchar(50)—————–用户名
phone————–varchar(50)—————-电话
password————–varchar(50)————密码
address————–varchar(50)————–地址
picture————–varchar(50)—————脸的图片
然后我吧数据库脚本放上来：

USE [master]GO/****** Object:  Database [TestFaceDB]    Script Date: 2017-11-30 22:09:36 ******/CREATE DATABASE [TestFaceDB] CONTAINMENT = NONE ON  PRIMARY ( NAME = N'TestFaceDB', FILENAME = N'E:\DB\TestFaceDB.mdf' , SIZE = 5120KB , MAXSIZE = UNLIMITED, FILEGROWTH = 1024KB ) LOG ON ( NAME = N'TestFaceDB_log', FILENAME = N'E:\DB\TestFaceDB_log.ldf' , SIZE = 2048KB , MAXSIZE = 2048GB , FILEGROWTH = 10%)GOALTER DATABASE [TestFaceDB] SET COMPATIBILITY_LEVEL = 110GOIF (1 = FULLTEXTSERVICEPROPERTY('IsFullTextInstalled'))beginEXEC [TestFaceDB].[dbo].[sp_fulltext_database] @action = 'enable'endGOALTER DATABASE [TestFaceDB] SET ANSI_NULL_DEFAULT OFF GOALTER DATABASE [TestFaceDB] SET ANSI_NULLS OFF GOALTER DATABASE [TestFaceDB] SET ANSI_PADDING OFF GOALTER DATABASE [TestFaceDB] SET ANSI_WARNINGS OFF GOALTER DATABASE [TestFaceDB] SET ARITHABORT OFF GOALTER DATABASE [TestFaceDB] SET AUTO_CLOSE OFF GOALTER DATABASE [TestFaceDB] SET AUTO_CREATE_STATISTICS ON GOALTER DATABASE [TestFaceDB] SET AUTO_SHRINK OFF GOALTER DATABASE [TestFaceDB] SET AUTO_UPDATE_STATISTICS ON GOALTER DATABASE [TestFaceDB] SET CURSOR_CLOSE_ON_COMMIT OFF GOALTER DATABASE [TestFaceDB] SET CURSOR_DEFAULT  GLOBAL GOALTER DATABASE [TestFaceDB] SET CONCAT_NULL_YIELDS_NULL OFF GOALTER DATABASE [TestFaceDB] SET NUMERIC_ROUNDABORT OFF GOALTER DATABASE [TestFaceDB] SET QUOTED_IDENTIFIER OFF GOALTER DATABASE [TestFaceDB] SET RECURSIVE_TRIGGERS OFF GOALTER DATABASE [TestFaceDB] SET  DISABLE_BROKER GOALTER DATABASE [TestFaceDB] SET AUTO_UPDATE_STATISTICS_ASYNC OFF GOALTER DATABASE [TestFaceDB] SET DATE_CORRELATION_OPTIMIZATION OFF GOALTER DATABASE [TestFaceDB] SET TRUSTWORTHY OFF GOALTER DATABASE [TestFaceDB] SET ALLOW_SNAPSHOT_ISOLATION OFF GOALTER DATABASE [TestFaceDB] SET PARAMETERIZATION SIMPLE GOALTER DATABASE [TestFaceDB] SET READ_COMMITTED_SNAPSHOT OFF GOALTER DATABASE [TestFaceDB] SET HONOR_BROKER_PRIORITY OFF GOALTER DATABASE [TestFaceDB] SET RECOVERY FULL GOALTER DATABASE [TestFaceDB] SET  MULTI_USER GOALTER DATABASE [TestFaceDB] SET PAGE_VERIFY CHECKSUM  GOALTER DATABASE [TestFaceDB] SET DB_CHAINING OFF GOALTER DATABASE [TestFaceDB] SET FILESTREAM( NON_TRANSACTED_ACCESS = OFF ) GOALTER DATABASE [TestFaceDB] SET TARGET_RECOVERY_TIME = 0 SECONDS GOEXEC sys.sp_db_vardecimal_storage_format N'TestFaceDB', N'ON'GOUSE [TestFaceDB]GO/****** Object:  Table [dbo].[Users]    Script Date: 2017-11-30 22:09:36 ******/SET ANSI_NULLS ONGOSET QUOTED_IDENTIFIER ONGOSET ANSI_PADDING ONGOCREATE TABLE [dbo].[Users](    [id] [bigint] NOT NULL,    [name] [varchar](50) NULL,    [age] [int] NULL,    [phone] [varchar](50) NULL,    [password] [varchar](50) NULL,    [address] [varchar](50) NULL,    [picture] [varchar](max) NULL, CONSTRAINT [PK_Users] PRIMARY KEY CLUSTERED (    [id] ASC)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]GOSET ANSI_PADDING OFFGOUSE [master]GOALTER DATABASE [TestFaceDB] SET  READ_WRITE GO

以上就是准备工作的数据库

二、在VS里面写代码之前我们需要引入一个AForgeDLL文件库

，下载地址：
C#处理视频dll库AForge下载安装版

三、在vs里面新建个项目，名称是：Camtest

新建完项目之后我们在新建个sqlhelper，这个文件是用来操作数据库的，主要是人脸注册和认证以及登陆的时候用。源码在这里：
C#人脸识别——————SqlHelper
新建一个实体类，名称就随便起个吧，我们命名为：Users，源码在这里：
C#人脸识别——————Users

四、人脸检测

接下来我们就开始写窗体，一步一步的来，接着往下看，我们先来整一个人脸检测的玩玩练练手吧：

这个是人脸检测的运行结果图！我们不注重界面的美化，我们只注重功能的实现。接下来我们分析一下这个窗体是由哪些控件组成的！
序号对应控件说明：
1——————–videoSourcePlayer，所在的dll是Aforge.Controls.Video这个里面，名称是videoSourcePlayer1
2——————–groupBox控件，名称是groupBox1
3——————–comboBox控件，名称是comboBoxCameras和picsize
4——————–button控件，名称是button2和close
5——————–label控件，名称是（左边从上到下）label3，label6，label8，label10，label12，label14。右边从上到下：label4，label5，label7，label9，label11，label13
6——————–窗体，名称是facedetection
接着我们看一下这个窗体内部的实现代码：
1.首先引入AForge的命名空间：、

using AForge;using AForge.Controls;using AForge.Imaging;using AForge.Video;using AForge.Video.DirectShow;

2.加载窗体的时候先检测一遍我们的摄像头：

 // 刷新可用相机的列表            videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice);            comboBoxCameras.Items.Clear();            for (int i = 0; i < videoDevices.Count; i++)            {                comboBoxCameras.Items.Add(videoDevices[i].Name.ToString());            }            if (comboBoxCameras.Items.Count > 0)                comboBoxCameras.SelectedIndex = 0;            picsize.SelectedIndex = 0;

3.打开摄像头的方法：

 /// <summary>        /// 打开摄像头        /// </summary>        public void openCan()        {            selectedPICIndex = picsize.SelectedIndex;            selectedDeviceIndex = comboBoxCameras.SelectedIndex;            //连接摄像头。            videoSource = new VideoCaptureDevice(videoDevices[selectedDeviceIndex].MonikerString);            videoSource.VideoResolution = videoSource.VideoCapabilities[selectedDeviceIndex];            // 枚举所有摄像头支持的像素，设置拍照为1920*1080            foreach (VideoCapabilities capab in videoSource.VideoCapabilities)            {                if (selectedPICIndex == 0)                {                    if (capab.FrameSize.Width == 1920 && capab.FrameSize.Height == 1080)                    {                        videoSource.VideoResolution = capab;                        break;                    }                    if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720)                    {                        videoSource.VideoResolution = capab;                        break;                    }                }                else                {                    if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720)                    {                        videoSource.VideoResolution = capab;                        break;                    }                }            }            videoSourcePlayer1.VideoSource = videoSource;            // set NewFrame event handler            videoSourcePlayer1.Start();        }

4.保存人脸成一张图片，顺便调用人脸检测库：

//保存图片        private void button2_Click(object sender, EventArgs e)        {            if (videoSource == null)                return;            Bitmap bitmap = videoSourcePlayer1.GetCurrentVideoFrame();            //图片名称，年月日时分秒毫秒.jpg            string fileName = DateTime.Now.ToString("yyyyMMddHHmmssff") + ".jpg";            //获取项目的根目录            String path = AppDomain.CurrentDomain.BaseDirectory;            //将图片保存在服务器里面            bitmap.Save(path + "\\picture\\" + fileName, ImageFormat.Jpeg);            bitmap.Dispose();            //进行面部特征识别            facemodel facem = face_test.FaceDetect(path + "\\picture\\" + fileName);            this.label4.Text = facem.age;      //年龄            this.label5.Text = facem.beauty;  //漂亮度            string expression = facem.expression;//表情            if (expression.Equals("0"))            {                this.label7.Text = "不笑";            }            else if (expression.Equals("1"))            {                this.label7.Text = "微笑";            }            else if (expression.Equals("2"))            {                this.label7.Text = "大笑";            }            string gender = facem.gender;//性别            if (gender.Equals("male"))            {                this.label9.Text = "男";            }            else            {                this.label9.Text = "女";            }            string glasses = facem.glasses;//是否戴眼镜            if (glasses.Equals("0"))            {                this.label11.Text = "无眼镜";            }            else if (glasses.Equals("1"))            {                this.label11.Text = "普通眼镜";            }            else            {                this.label11.Text = "墨镜";            }            string race = facem.race;//人种            if (race.Equals("yellow"))            {                this.label13.Text = "黄人";            }            else if (race.Equals("white"))            {                this.label13.Text = "白人";            }            else if (race.Equals("black"))            {                this.label13.Text = "黑人";            }            else if (race.Equals("arabs"))            {                this.label13.Text = "棕人";            }        }

在上面的这个方法里面我们需要一个解析json的类，类的源码在：
人脸检测解析json的工具类face_test
还有一个model类，类的源码在：
人脸检测的model类facemodel
这就是我们主要的功能实现，整个窗体的源码请移步到这里面看：
人脸检测源码facedetection
最后完美运行。

五、人脸注册

1.新建一个窗体，名称是：faceregiste
下面是运行结果：

至于控件什么的我就不说的那么详细了，大家一看就知道用的什么控件了。
2.由于调用的是百度的API，所以需要Api_Key和Secret_Key，关于这两个，大家可以自行百度。所以先声明一下：

        //Api_Key        public static string Api_Key = "这里是你的Api_Key";        //Secret_Key        public static string Secret_Key = "这里是你的Secret_Key ";

3.刷新可用摄像头列表

  //加载项目        private void faceregiste_Load(object sender, EventArgs e)        {            // 刷新可用相机的列表            videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice);            comboBoxCameras.Items.Clear();            for (int i = 0; i < videoDevices.Count; i++)            {                comboBoxCameras.Items.Add(videoDevices[i].Name.ToString());            }            if (comboBoxCameras.Items.Count > 0)                comboBoxCameras.SelectedIndex = 0;            picsize.SelectedIndex = 0;            //打开摄像头            openCamera();        }

5.打开摄像头：

//打开摄像头        public void openCamera() {            selectedPICIndex = picsize.SelectedIndex;            selectedDeviceIndex = comboBoxCameras.SelectedIndex;            //连接摄像头。            videoSource = new VideoCaptureDevice(videoDevices[selectedDeviceIndex].MonikerString);            videoSource.VideoResolution = videoSource.VideoCapabilities[selectedDeviceIndex];            // 枚举所有摄像头支持的像素，设置拍照为1920*1080            foreach (VideoCapabilities capab in videoSource.VideoCapabilities)            {                if (selectedPICIndex == 0)                {                    if (capab.FrameSize.Width == 1920 && capab.FrameSize.Height == 1080)                    {                        videoSource.VideoResolution = capab;                        break;                    }                    if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720)                    {                        videoSource.VideoResolution = capab;                        break;                    }                }                else                {                    if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720)                    {                        videoSource.VideoResolution = capab;                        break;                    }                }            }            videoSourcePlayer1.VideoSource = videoSource;            // set NewFrame event handler            videoSourcePlayer1.Start();        }

6.点击注册执行的方法：

 //注册的按钮        private void register_Click(object sender, EventArgs e)        {            Users user = new Users();            user.name = this.name.Text;            user.id = DateTime.Now.Ticks / 10000;            user.password = this.password.Text;            user.phone = this.phone.Text;            user.age =(int)this.age.Value;            user.address = this.address.Text;            user.picture = SavePicture() ;            //注册人脸通过的话进去            if (FaceRegister(user))            {                int rel = AddUsers(user);//添加信息                if (rel > 0)                {                    MessageBox.Show("注册成功", "提示信息");                }                else                {                    MessageBox.Show("添加失败", "提示信息");                }            }        }

7.保存图片的方法：

/// <summary>        /// 保存图片        /// </summary>        public string SavePicture() {            if (videoSource == null)            {                return null;            }            Bitmap bitmap = videoSourcePlayer1.GetCurrentVideoFrame();            //图片名称，年月日时分秒毫秒.jpg            string fileName = DateTime.Now.ToString("yyyyMMddHHmmssff") + ".jpg";            //获取项目的根目录            string path = AppDomain.CurrentDomain.BaseDirectory;            string picture = path + "\\picture\\" + fileName;            //将图片保存在服务器里面            bitmap.Save(picture, ImageFormat.Jpeg);            bitmap.Dispose();            return picture;        }

8.取消按钮的方法：

 //取消的按钮        private void close_Click(object sender, EventArgs e)        {            //停止摄像头            videoSourcePlayer1.Stop();            this.Close();            welcome we = new welcome();            we.Show();        }

10.用户注册的方法：

/// <summary>        /// 用户注册        /// </summary>        /// <param name="users"></param>        /// <returns></returns>        public int AddUsers(Users users)        {            int rel = 0;            string sql = "insert INTO Users VALUES(@id,@name,@age,@phone,@password,@address,@picture)";            SqlParameter[] param = {                                        new SqlParameter("@id",users.id),                                        new SqlParameter("@name",users.name),                                        new SqlParameter("@age",users.age),                                        new SqlParameter("@phone",users.phone),                                        new SqlParameter("@password",users.password),                                        new SqlParameter("@address",users.address),                                        new SqlParameter("@picture",users.picture)                                   };            rel = SqlHelper.ExecuteNonQuery(sql, CommandType.Text, param);            return rel;        }

11.人脸注册的方法：

 /// <summary>        /// 人脸注册        /// </summary>        /// <param name="picture"></param>        public static bool FaceRegister(Users user)        {            var client = new Baidu.Aip.Face.Face(Api_Key, Secret_Key);            //当前毫秒数可能是负数，取绝对值            var image1 = File.ReadAllBytes(user.picture);            var result = client.User.Register(image1, user.id.ToString(), user.name, new[] { "gr_test" });            //得到根节点            JObject jo_result = (JObject)JsonConvert.DeserializeObject(result.ToString());            if ((string)jo_result["error_msg"] != null)            {                MessageBox.Show("对不起，请把脸放上！","提示",MessageBoxButtons.OK,MessageBoxIcon.Stop);                return false;            }            return true;        }

12.关闭窗体的方法：

 //关闭窗体        private void faceregiste_FormClosing(object sender, FormClosingEventArgs e)        {            DialogResult r = MessageBox.Show("确定要退出程序?", "操作提示", MessageBoxButtons.OKCancel, MessageBoxIcon.Question);            if (r != DialogResult.OK)            {                e.Cancel = true;            }            videoSourcePlayer1.Stop();//停止摄像头            videoSourcePlayer1.Dispose();        }

源码请到这里来看：
人脸注册源码faceregiste

六、人脸认证

1.新建一个窗体，名称为faceIdentify，其运行结果是：



这些控件的名称我也不多说，基本都能知道，下面我们来介绍一下代码：
2.窗体加载刷新摄像头列表：

 //窗体加载        private void faceIdentify_Load(object sender, EventArgs e)        {           //显示为正在检测            this.label1.Text = this.label2.Text = this.label6.Text = this.label9.Text = "正在识别";            // 刷新可用相机的列表            videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice);            comboBoxCameras.Items.Clear();            for (int i = 0; i < videoDevices.Count; i++)            {                comboBoxCameras.Items.Add(videoDevices[i].Name.ToString());            }            if (comboBoxCameras.Items.Count > 0)                comboBoxCameras.SelectedIndex = 0;            picsize.SelectedIndex = 0;            //打开摄像头            openCamera();        }

3.打开摄像头：

//打开摄像头        public void openCamera()        {            selectedPICIndex = picsize.SelectedIndex;            selectedDeviceIndex = comboBoxCameras.SelectedIndex;            //连接摄像头。            videoSource = new VideoCaptureDevice(videoDevices[selectedDeviceIndex].MonikerString);            videoSource.VideoResolution = videoSource.VideoCapabilities[selectedDeviceIndex];            // 枚举所有摄像头支持的像素，设置拍照为1920*1080            foreach (VideoCapabilities capab in videoSource.VideoCapabilities)            {                if (selectedPICIndex == 0)                {                    if (capab.FrameSize.Width == 1920 && capab.FrameSize.Height == 1080)                    {                        videoSource.VideoResolution = capab;                        break;                    }                    if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720)                    {                        videoSource.VideoResolution = capab;                        break;                    }                }                else                {                    if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720)                    {                        videoSource.VideoResolution = capab;                        break;                    }                }            }            videoSourcePlayer1.VideoSource = videoSource;            // set NewFrame event handler            videoSourcePlayer1.Start();        }

4.签到的按钮：

/// <summary>        /// 签到的按钮        /// 先保存图片，然后进行比较，获取的id，查询        /// </summary>        /// <param name="sender"></param>        /// <param name="e"></param>        private void qiandao_Click(object sender, EventArgs e)        {            Users users = FaceIdentifys(SavePicture());            this.label1.Text = users.age.ToString();            this.label2.Text = users.name;            this.label6.Text = users.phone;            this.label9.Text = users.address;            if (users.picture != null)            {                this.pictureBox1.Image = Image.FromFile(users.picture, false);            }        }

5.人脸识别：

/// <summary>        /// 人脸识别        /// </summary>        /// <param name="filename"></param>        public static Users FaceIdentifys(string filename)        {            long id = 0;            string ids = "";            double scores_num = 0;            Users user = new Users();            var client = new Baidu.Aip.Face.Face(Api_Key, Secret_Key);            var image1 = File.ReadAllBytes(filename);            var result = client.User.Identify(image1, new[] { "gr_test" }, 1, 1);            //先判断脸是不是在上面，在继续看有匹配的没，否则提示放上脸            //得到根节点            JObject jo_result = (JObject)JsonConvert.DeserializeObject(result.ToString());            if ((string)jo_result["error_msg"] != null)            {                MessageBox.Show("对不起，请把脸放上！", "提示", MessageBoxButtons.OK, MessageBoxIcon.Stop);            }            else            {                //检测到脸                //得到result节点                JArray jo_age = (JArray)JsonConvert.DeserializeObject(jo_result["result"].ToString());                foreach (var val in jo_age)                {                    id = long.Parse(((JObject)val)["uid"].ToString());  //获取uid                    string scores = ((JObject)val)["scores"].ToString();//获取scores                    int num1 = scores.IndexOf("\n") + 2;                    int num2 = scores.LastIndexOf("]")-8;                    ids = scores.Substring(num1, num2);                    scores_num =double.Parse(ids);                }                if (scores_num > 80)                {                    user = QueryUsersById(id);                    if (user.id != 0)                    {                        MessageBox.Show("签到成功，已检测到您的信息", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Information);                    }                    else                    {                        MessageBox.Show("对不起，系统根据您的脸未检测到信息", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Stop);                    }                }                else {                    MessageBox.Show("对不起，系统根据您的脸未检测到信息", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Stop);                }            }            return user;        }

6.保存图片：

 /// <summary>        /// 保存图片        /// </summary>        public string SavePicture()        {            if (videoSource == null)            {                return null;            }            Bitmap bitmap = videoSourcePlayer1.GetCurrentVideoFrame();            //图片名称，年月日时分秒毫秒.jpg            string fileName = DateTime.Now.ToString("yyyyMMddHHmmssff") + ".jpg";            //获取项目的根目录            string path = AppDomain.CurrentDomain.BaseDirectory;            string picture = path + "\\picture\\" + fileName;            //将图片保存在服务器里面            bitmap.Save(picture, ImageFormat.Jpeg);            bitmap.Dispose();            return picture;        }

7.根据编号查询用户信息：

/// <summary>        /// 根据编号查询用户信息        /// </summary>        /// <param name="id"></param>        /// <returns></returns>        public static Users QueryUsersById(long id)        {            Users user = new Users();            string sql = "select * from users where id = @id";            using (SqlDataReader reader = SqlHelper.ExcuteReader(sql, CommandType.Text, new SqlParameter("@id", id)))            {                if (reader.Read())                {                    user.id = long.Parse(reader[0].ToString());                    user.name = reader[1].ToString();                    user.age = Convert.ToInt32(reader[2]);                    user.phone = reader[3].ToString();                    user.password = reader[4].ToString();                    user.address = reader[5].ToString();                    user.picture = reader[6].ToString();                }            }            return user;        }

源码请在这里面看：
人脸认证源码faceIdentify

七、人脸登陆

1.新建一个窗体，参考如下：


2.窗体加载刷新摄像头列表：

//窗体加载        private void faceIdentify_Load(object sender, EventArgs e)        {           //显示为正在检测            this.label1.Text = this.label2.Text = this.label6.Text = this.label9.Text = "正在识别";            // 刷新可用相机的列表            videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice);            comboBoxCameras.Items.Clear();            for (int i = 0; i < videoDevices.Count; i++)            {                comboBoxCameras.Items.Add(videoDevices[i].Name.ToString());            }            if (comboBoxCameras.Items.Count > 0)                comboBoxCameras.SelectedIndex = 0;            picsize.SelectedIndex = 0;            //打开摄像头            openCamera();        }

3.打开摄像头：

//打开摄像头        public void openCamera()        {            selectedPICIndex = picsize.SelectedIndex;            selectedDeviceIndex = comboBoxCameras.SelectedIndex;            //连接摄像头。            videoSource = new VideoCaptureDevice(videoDevices[selectedDeviceIndex].MonikerString);            videoSource.VideoResolution = videoSource.VideoCapabilities[selectedDeviceIndex];            // 枚举所有摄像头支持的像素，设置拍照为1920*1080            foreach (VideoCapabilities capab in videoSource.VideoCapabilities)            {                if (selectedPICIndex == 0)                {                    if (capab.FrameSize.Width == 1920 && capab.FrameSize.Height == 1080)                    {                        videoSource.VideoResolution = capab;                        break;                    }                    if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720)                    {                        videoSource.VideoResolution = capab;                        break;                    }                }                else                {                    if (capab.FrameSize.Width == 1280 && capab.FrameSize.Height == 720)                    {                        videoSource.VideoResolution = capab;                        break;                    }                }            }            videoSourcePlayer1.VideoSource = videoSource;            // set NewFrame event handler            videoSourcePlayer1.Start();        }

4.点击确定的按钮，（人脸登陆）：

/// <summary>        /// 点击确定的按钮        /// </summary>        /// <param name="sender"></param>        /// <param name="e"></param>        private void button2_Click(object sender, EventArgs e)        {            //先获取用户名            //然后在提取图片            //先查询用户名，看看有没有该用户名            //有该用户名的话继续判断人脸对应不，没有的话提示没有该用户            string name = this.textBox1.Text;            Users user = QueryUsersByName(name);            if (((string)(user.name))!="")            {                //有该用户，判断摄入的人脸和人脸库中的对比                FaceVerify(SavePicture(),user);            }            else {                 //说明没有该用户，提示用户重新输入用户名                MessageBox.Show("对不起，检测到没有该用户，请重新输入", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Stop);            }        }

5.人脸认证【登陆】：

/// <summary>        /// 人脸认证【登陆】        /// </summary>        public  void FaceVerify(string filename,Users users)        {            var client = new Baidu.Aip.Face.Face(Api_Key ,Secret_Key);            var image1 = File.ReadAllBytes(filename);            var result = client.User.Verify(image1,(users.id).ToString(), new[] { "gr_test" }, 1);            //先判断脸是不是在上面，在继续看有匹配的没，否则提示放上脸            //得到根节点            JObject jo_result = (JObject)JsonConvert.DeserializeObject(result.ToString());            if ((string)jo_result["error_msg"] != null)            {                MessageBox.Show("对不起，请把脸放上！", "提示", MessageBoxButtons.OK, MessageBoxIcon.Stop);            }            else            {                //检测到脸                //得到result节点                JArray jo_age = (JArray)JsonConvert.DeserializeObject(jo_result["result"].ToString());                string resu = jo_age.ToString();                int num1 = resu.IndexOf("\n") + 2;                int num2 = resu.LastIndexOf("]") - 8;                string ids = resu.Substring(num1, num2);                if (ids != null || !ids.Equals(""))                {                    double scores_num = double.Parse(ids);                    if (scores_num > 80)                    {                        MessageBox.Show("登陆成功，已检测到您的信息", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Information);                    }                    else                    {                        MessageBox.Show("对不起，脸与账户不对应，请换张脸试试", "操作提示", MessageBoxButtons.OK, MessageBoxIcon.Stop);                    }                }            }        }

6.根据编号查询用户信息：

/// <summary>        /// 根据编号查询用户信息        /// </summary>        /// <param name="id"></param>        /// <returns></returns>        public static Users QueryUsersByName(string name)        {            Users user = new Users();            string sql = "select * from users where name = @name";            using (SqlDataReader reader = SqlHelper.ExcuteReader(sql, CommandType.Text, new SqlParameter("@name", name)))            {                if (reader.Read())                {                    user.id = long.Parse(reader[0].ToString());                    user.name = reader[1].ToString();                    user.age = Convert.ToInt32(reader[2]);                    user.phone = reader[3].ToString();                    user.password = reader[4].ToString();                    user.address = reader[5].ToString();                    user.picture = reader[6].ToString();                }            }            return user;        }

7.保存图片：

  /// <summary>        /// 保存图片        /// </summary>        public string SavePicture()        {            if (videoSource == null)            {                return null;            }            Bitmap bitmap = videoSourcePlayer1.GetCurrentVideoFrame();            //图片名称，年月日时分秒毫秒.jpg            string fileName = DateTime.Now.ToString("yyyyMMddHHmmssff") + ".jpg";            //获取项目的根目录            string path = AppDomain.CurrentDomain.BaseDirectory;            string picture = path + "\\picture\\" + fileName;            //将图片保存在服务器里面            bitmap.Save(picture, ImageFormat.Jpeg);            bitmap.Dispose();            return picture;        }

源码请在这里看：
人脸登陆facelogin