Notes

* form1.cs

using Emgu.CV;
using Emgu.CV.CvEnum;
using Emgu.CV.Structure;

namespace CameraNVRDVRfaceRecognition
{
public partial class Form1 : Form
{
public VideoCapture _capture;
public CascadeClassifier _faceCascade;
public bool _isProcessing;
public int _frameCounter;

public Form1()
{
InitializeComponent();
}

public void Form1_Load(object sender, EventArgs e)
{
// Load the Haar Cascade classifier
string faceCascadePath = "haarcascade_frontalface_default.xml";
_faceCascade = new CascadeClassifier(faceCascadePath);
}

public void btnStart_Click(object sender, EventArgs e)
{
if (!_isProcessing)
{
// Replace with your local .mp4 file path
string videoFilePath = "path_to_your_video_file.mp4";
_capture = new VideoCapture(videoFilePath);

if (!_capture.IsOpened)
{
MessageBox.Show("Failed to open the video file");
return;
}

_isProcessing = true;
btnStart.Text = "Stop";
_frameCounter = 0;

// Start processing frames
Application.Idle += ProcessFrame;
}
else
{
_isProcessing = false;
btnStart.Text = "Start";
_capture.Stop();
_capture.Dispose();
Application.Idle -= ProcessFrame;
}
}

public void ProcessFrame(object sender, EventArgs e)
{
Mat frame = _capture.QueryFrame();

if (frame == null)
{
// Stop processing when no frames are available
_isProcessing = false;
btnStart.Text = "Start";
_capture.Stop();
_capture.Dispose();
Application.Idle -= ProcessFrame;
return;
}

_frameCounter++;

// Convert the captured frame to grayscale for face detection
using (UMat ugray = new UMat())
{
CvInvoke.CvtColor(frame, ugray, ColorConversion.Bgr2Gray);

// Detect faces in the grayscale frame
Rectangle[] faces = _faceCascade.DetectMultiScale(ugray, 1.1, 5, Size.Empty);

// Draw rectangles around the detected faces
foreach (Rectangle faceRect in faces)
{
CvInvoke.Rectangle(frame, faceRect, new MCvScalar(0, 0, 255), 2);

// Crop the detected face region from the frame
using (Mat faceROI = new Mat(frame, faceRect))
{
// Example: Save the cropped face image
string faceFilename = $"frame_{_frameCounter}_face_{faces.Length}.jpg";
faceROI.Save(faceFilename);
Console.WriteLine($"Cropped face saved as {faceFilename}");
}
}

// Display the processed frame with rectangles around faces in the PictureBox
pictureBox.Image = frame.ToBitmap();
}
}

private void InitializeComponent()
{

}
}
}



* form1.designer.cs


using System.ComponentModel;

namespace FaceRecognitionDVRNVRCameraSystem
{
partial class Form1
{
private Button btnStart; // Declare your button and picture box here
private PictureBox pictureBox;

public Container components { get; private set; }
public object Controls { get; private set; }

private AutoScaleMode AutoScaleMode;

public Size ClientSize { get; private set; }

private void InitializeComponent()
{
this.btnStart = new System.Windows.Forms.Button();
this.pictureBox = new System.Windows.Forms.PictureBox();
((System.ComponentModel.ISupportInitialize)(this.pictureBox)).BeginInit();
this.SuspendLayout();
//
// btnStart
//
this.btnStart.Location = new System.Drawing.Point(12, 12);
this.btnStart.Name = "btnStart";
this.btnStart.Size = new System.Drawing.Size(75, 23);
this.btnStart.TabIndex = 0;
this.btnStart.Text = "Start";
this.btnStart.UseVisualStyleBackColor = true;
this.btnStart.Click += new System.EventHandler(this.btnStart_Click); // Make sure to wire up the Click event handler
//
// pictureBox
//
this.pictureBox.Location = new System.Drawing.Point(12, 41);
this.pictureBox.Name = "pictureBox";
this.pictureBox.Size = new System.Drawing.Size(640, 480);
this.pictureBox.SizeMode = System.Windows.Forms.PictureBoxSizeMode.StretchImage;
this.pictureBox.TabIndex = 1;
this.pictureBox.TabStop = false;
//
// Form1
//
this.components = new System.ComponentModel.Container();
this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
this.ClientSize = new System.Drawing.Size(664, 533);
((System.ComponentModel.ISupportInitialize)(this.pictureBox)).EndInit();
}

private void btnStart_Click(object sender, EventArgs e)
{
throw new NotImplementedException();
}

private void SuspendLayout()
{
throw new NotImplementedException();
}
}
}