C# 年会捕获头像的表情程序
1、安装依赖库
Install-Package Emgu.CV
Install-Package Emgu.CV.UI
Install-Package Emgu.CV.Bitmap
2、需要创建一个Windows Forms应用程序，并在设计器中添加一个名为pictureBox的PictureBox控件，用来显示摄像头捕获的图像
using System;
using System.Drawing;
using System.Windows.Forms;
using Emgu.CV;
using Emgu.CV.CvEnum;
using Emgu.CV.Structure;
using Emgu.CV.UI;namespace FaceExpressionCapture
{public partial class MainForm : Form{private Capture capture;private HaarCascade faceCascade;public MainForm(){InitializeComponent();capture = new Capture(); // Use default camerafaceCascade = new HaarCascade("haarcascade_frontalface_default.xml"); // You need to provide this XML file}private void MainForm_Load(object sender, EventArgs e){Application.Idle += ProcessFrame;}private void ProcessFrame(object sender, EventArgs e){var frame = new Mat();capture.Read(frame);if (frame.Empty){return;}var grayFrame = new Mat();CvInvoke.CvtColor(frame, grayFrame, ColorConversion.Bgr2Gray);var faces = faceCascade.DetectMultiScale(grayFrame, 1.1, 4, HaarDetectionType.ScaleImage);foreach (var face in faces){var faceRegion = grayFrame.ROI(face);// Here you would typically call a method to analyze the faceRegion and detect the expression// For simplicity, we'll just draw a rectangle around the faceCvInvoke.Rectangle(frame, face, new MCvScalar(0, 255, 0), 2);// Example: Detect Smile (you need to implement or use an existing library for this)var expression = DetectExpression(faceRegion);CvInvoke.PutText(frame, expression, new Point(face.X, face.Y - 10), FontFace.HersheySimplex, 0.5, new MCvScalar(0, 0, 255));}pictureBox.Image = frame.Bitmap;}private string DetectExpression(Mat faceRegion){// Placeholder for your expression detection logic// You can use a pre-trained model or a machine learning library for thisreturn "Smile :)";}protected override void OnFormClosing(FormClosingEventArgs e){if (capture != null){capture.Dispose();}base.OnFormClosing(e);}}
}3、注意事项：
1）、HaarCascade XML 文件：你需要下载OpenCV的haarcascade_frontalface_default.xml文件，并将其放置在你的项目目录中，或者指定其路径。
2）、表情检测：示例中的DetectExpression方法只是一个占位符。
4、运行程序：
1)、运行程序后，它将打开默认摄像头并开始捕获视频流。
2)、程序会检测每一帧中的人脸，并在其上绘制矩形框。
3)、DetectExpression方法可以用来实现具体的表情检测逻辑。