一、项目描述
本项目通过集成百度AI人脸识别API，实现了人脸检测和识别功能。用户可以上传图片，系统将自动识别人脸并返回识别结果。
二、开发环境
- Visual Studio 2019或更高版本
- .NET Framework 4.7.2或更高版本
- AForge.NET库
- 百度AI平台人脸识别API
三、具体实现
1.界面设计
1.1所用的库
- AForge.Controls
VideoSourcePlayer- AForge.Video
VideoCaptureDevice- AForge.Video.DirectShow
FilterInfoCollectionFilterInfo- Baidu.Aip.Face
Face- BaiduAI.Common
ClassLogerJsonHelper- Newtonsoft.Json.Linq
JArrayJObject- System
- 各种基本的系统功能和类型（如
Exception,EventArgs, 等等）- System.Collections.Generic
Dictionary- System.ComponentModel
BackgroundWorker和其他组件模型支持- System.Data
- 数据处理
- System.Drawing
Image,Bitmap,Graphics,Pen,Point- System.Drawing.Imaging
ImageFormat- System.IO
- 文件操作，如
File,FileStream,MemoryStream,Path, 等等- System.Linq
- LINQ 查询
- System.Security.Policy
- 安全策略
- System.Text
StringBuilder- System.Threading
Thread,ThreadPool,WaitCallback- System.Windows.Forms
- 各种 WinForms 控件（如
Form,Button,TextBox,OpenFileDialog,MessageBox,ComboBox, 等等）- System.Windows.Interop
Imaging- System.Windows.Media.Imaging
BitmapSource,BitmapFrame,BitmapSizeOptions,JpegBitmapEncoder,PngBitmapEncoder
1.2所用到的控件
- Form1
- WinForms 窗体类
- Button
button1,button2,button3,button4,button5,button6,button7,button8,button9- TextBox
textBox1,textBox2,textBox3,textBox4,textBox5,textBox6,textBox7- ComboBox
comboBox1- OpenFileDialog
- 文件打开对话框
- MessageBox
- 信息框
- VideoSourcePlayer
- 来自 AForge.Controls，用于视频显示
- WindowsMediaPlayer
axWindowsMediaPlayer1，用于播放音频（使用 AxWindowsMediaPlayer 控件）
1.3最终设计界面显示如下：
2.代码实现
2.0初始化
首先要在百度AI官网注册账号然后再人脸识别项目中申请创建应用，就可以获得自己的APP_ID，API_KEY，SECRET_KEY。
using AForge.Controls;
using AForge.Video;
using AForge.Video.DirectShow;
using Baidu.Aip.Face;
using BaiduAI.Common;
using Newtonsoft.Json.Linq;
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;
using System.IO;
using System.Text;
using System.Threading;
using System.Windows.Forms;namespace BaiduAI
{public partial class Form1 : Form{private readonly string APP_ID = "8xxx0583";private readonly string API_KEY = "Chxxxx3evL5rPW3skOL";private readonly string SECRET_KEY = "VT2FxxxxqEH1ZYcJSw";private Face client = null;private bool IsStart = false;private FaceLocation location = null;private FilterInfoCollection videoDevices = null;private VideoCaptureDevice videoSource;public Form1(){InitializeComponent();axWindowsMediaPlayer1.uiMode = "Invisible";client = new Face(API_KEY, SECRET_KEY);}}
}
2.1人脸检测
1.下面的自己的图片文件路径替换进去的话，使用应用的时候点击按钮就会先进入这个文件夹里面找图片，如果不更改的话，系统找不到文件路径，可能会按默认的进去。
2.设置参数这里，可以去官网的人脸识别技术文档里面查看具体有哪些token可以设置，也有一些参数有默认值。
private void button1_Click(object sender, EventArgs e)
{OpenFileDialog dialog = new OpenFileDialog();dialog.InitialDirectory = "C:\\";//自己的图片文件路径dialog.Filter = "所有文件|*.*";dialog.RestoreDirectory = true;dialog.FilterIndex = 1;if (dialog.ShowDialog() == DialogResult.OK){string filename = dialog.FileName;try{Image im = Image.FromFile(filename);var image = ConvertImageToBase64(im);string imageType = "BASE64";var options = new Dictionary<string, object>{{"max_face_num", 2},{"face_field", "age,beauty"},{"face_fields", "age,qualities,beauty"}};var result = client.Detect(image, imageType, options);textBox1.Text = result.ToString();}catch (Exception ex){MessageBox.Show(ex.Message);}}
}public string ConvertImageToBase64(Image file)
{using (MemoryStream memoryStream = new MemoryStream()){file.Save(memoryStream, file.RawFormat);byte[] imageBytes = memoryStream.ToArray();return Convert.ToBase64String(imageBytes);}
}
2.2人脸对比
通过选择两张图片，调用百度AI的人脸比对接口，比较两张图片中的人脸。
private void button2_Click(object sender, EventArgs e)
{if (string.IsNullOrEmpty(textBox2.Text) || string.IsNullOrEmpty(textBox3.Text)){MessageBox.Show("请选择要对比的人脸图片");return;}try{string path1 = textBox2.Text;string path2 = textBox3.Text;var faces = new JArray{new JObject{{"image", ReadImg(path1)},{"image_type", "BASE64"},{"face_type", "LIVE"},{"quality_control", "LOW"},{"liveness_control", "NONE"},},new JObject{{"image", ReadImg(path2)},{"image_type", "BASE64"},{"face_type", "LIVE"},{"quality_control", "LOW"},{"liveness_control", "NONE"},}};var result = client.Match(faces);textBox1.Text = result.ToString();}catch (Exception ex){MessageBox.Show(ex.Message);}
}public string ReadImg(string img)
{return Convert.ToBase64String(File.ReadAllBytes(img));
}
2.3获取系统摄像头
通过AForge库获取摄像头设备，并显示实时视频。
private void Form1_Load(object sender, EventArgs e)
{videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice);if (videoDevices != null && videoDevices.Count > 0){foreach (FilterInfo device in videoDevices){comboBox1.Items.Add(device.Name);}comboBox1.SelectedIndex = 0;}videoSourcePlayer1.NewFrame += VideoSourcePlayer1_NewFrame;ThreadPool.QueueUserWorkItem(new WaitCallback(p =>{while (true){IsStart = true;Thread.Sleep(500);}}));
}private void VideoSourcePlayer1_NewFrame(object sender, ref Bitmap image)
{if (IsStart){IsStart = false;ThreadPool.QueueUserWorkItem(new WaitCallback(this.Detect), image.Clone());}if (location != null){try{Graphics g = Graphics.FromImage(image);g.DrawLine(new Pen(Color.Black), new Point(location.left, location.top), new Point(location.left + location.width, location.top));g.DrawLine(new Pen(Color.Black), new Point(location.left, location.top), new Point(location.left, location.top + location.height));g.DrawLine(new Pen(Color.Black), new Point(location.left, location.top + location.height), new Point(location.left + location.width, location.top + location.height));g.DrawLine(new Pen(Color.Black), new Point(location.left + location.width, location.top), new Point(location.left + location.width, location.top + location.height));g.Dispose();}catch (Exception ex){MessageBox.Show("绘制方框出错：" + ex.Message);}}
}
2.4摄像头拍照
实现拍照功能，并保存图像到本地。
private void button5_Click(object sender, EventArgs e)
{if (comboBox1.Items.Count <= 0){MessageBox.Show("请插入视频设备");return;}try{if (videoSourcePlayer1.IsRunning){BitmapSource bitmapSource = System.Windows.Interop.Imaging.CreateBitmapSourceFromHBitmap(videoSourcePlayer1.GetCurrentVideoFrame().GetHbitmap(),IntPtr.Zero,Int32Rect.Empty,BitmapSizeOptions.FromEmptyOptions());PngBitmapEncoder pE = new PngBitmapEncoder();pE.Frames.Add(BitmapFrame.Create(bitmapSource));string picName = GetImagePath() + "\\" + DateTime.Now.ToFileTime() + ".jpg";if (File.Exists(picName)){File.Delete(picName);}using (Stream stream = File.Create(picName)){pE.Save(stream);}//拍照完成后刷新界面，不关闭窗体if (videoSourcePlayer1 != null && videoSourcePlayer1.IsRunning){videoSourcePlayer1.SignalToStop();videoSourcePlayer1.WaitForStop();}MessageBox.Show("拍照成功，请进行人脸注册！");}}catch (Exception ex){MessageBox.Show("摄像头异常：" + ex.Message);}
}
三、结果
人脸检测:
人脸对比：
四、结语
通过以上步骤，我们成功实现了一个使用百度AI进行人脸识别的项目。该项目包括人脸检测、人脸比对、摄像头拍照、人脸注册和人脸登录等功能，展示了如何结合百度AI平台和AForge库实现实用的人脸识别应用。希望本博客能对你有所帮助。