这篇文章主要为大家详细介绍了人脸认证源码faceIdentify的相关代码,具有一定的参考价值,感兴趣的小伙伴们可以参考一下
本文实例为大家分享了人脸认证源码faceIdentify的具体代码,供大家参考,具体内容如下
人脸认证:
using AForge.Video.DirectShow;
using face;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Data.SqlClient;
using System.Drawing;
using System.Drawing.Imaging;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
namespace Camtest
{
public partial class faceIdentify : Form
{
public faceIdentify()
{
InitializeComponent();
//启动默认在屏幕中间
this.StartPosition = System.Windows.Forms.FormStartPosition.CenterScreen;
}
//Api_Key
public static string Api_Key = "OVYw5Ok0y9U8n6CfVPYt0wfZ";
//Secret_Key
public static string Secret_Key = "aCN3lupCarq3rC9G8Rylqz1d36Towp8G";
FilterInfoCollection videoDevices;
VideoCaptureDevice videoSource;
public int selectedDeviceIndex = 0;
public int selectedPICIndex = 0;
//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();
}
//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();
}
/// <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);
}
}
//关闭窗口
private void faceIdentify_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();
}
/// <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;
}
/// <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;
}
/// <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;
}
//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();
}
}
}
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持编程学习网。
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本文标题为:人脸认证源码faceIdentify详解
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