ПИЭССН
Сравнение лиц по фотографии C#
Добавлено
13 апр 2024 в 19:11
Using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using FaceRecognitionDotNet;
using Emgu.CV;
using Emgu.CV.CvEnum;
using Emgu.CV.Structure;
namespace FaceDetection
{
public partial class Form1 : Form
{
public string file1, file2 = "";
private static readonlyCascadeClassifierEyeClassifier = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
private static readonlyCascadeClassifierFaceClassifier = new CascadeClassifier("haarcascade_frontalface_default.xml");
private static readonlyCascadeClassifierCatClassifier = new CascadeClassifier("haarcascade_frontalcatface_extended.xml");
private static readonlyCascadeClassifierSmileClassifier = new CascadeClassifier("haarcascade_smile.xml");
//переменныедлярасчетапараметровлиц
int eye_raz1, eye_raz2, nos1, nos2, rot1, rot2, face1, face2 = -1;
private void Button1_Click(object sender, EventArgs e)
{
eye_raz1 = 1; nos1 = 1; rot1 = 1; face1 = -1;
try
{
using (OpenFileDialogofd = new OpenFileDialog() { Multiselect = false, Filter = "Image Files (*.jpg;*.png;*.bmp;)|*.jpg;*.png;*.bmp;|All Files (*.*)|*.*;" })
{
if (ofd.ShowDialog() == DialogResult.OK)
{
Int i = 0;
Image<Bgr, byte>inputImage = new Image<Bgr, byte>(ofd.FileName);
Image<Gray, byte>grayImage = inputImage.Convert<Gray, byte>().Clone();
Rectangle[] faces = FaceClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle face in faces)
{
inputImage.Draw(face, new Bgr(113, 113, 245), 2);
CvInvoke.PutText(inputImage, "Face1", new System.Drawing.Point(face.X + 3, face.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
face1 = face.Bottom + face.X+face.Width;
}
Rectangle[] eyes = EyeClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle eye in eyes)
{
inputImage.Draw(eye, new Bgr(113, 245, 177), 2);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(eye.X + 3, eye.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
}
if (eyes.Length> 1) eye_raz1 = eyes[0].Location.X + eyes[0].Location.Y - eyes[1].Location.X + eyes[1].Location.Y;
i = 0;
Rectangle[] smiles = SmileClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle smile in smiles)
{
if (smile.Location.Y>inputImage.Height * 0.6)
{
CvInvoke.Rectangle(inputImage, smile, new Bgr(Color.Teal).MCvScalar, 2);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(smile.X + 3, smile.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
rot1 = smile.Location.X + smile.Location.Y;
}
}
i = 0;
Rectangle[] Nose = CatClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle nos in Nose)
{
CvInvoke.Rectangle(inputImage, nos, new Bgr(Color.Yellow).MCvScalar, 3);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(nos.X + 3, nos.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
nos1 = nos.Location.X + nos.Location.Y;
}
pictureBox1.Image = inputImage.AsBitmap();
file1 = ofd.FileName;
grayImage.Dispose();
inputImage.Dispose();
}
}
}
catch
{
}
}
public Form1()
{
InitializeComponent();
}
private void Button2_Click(object sender, EventArgs e)
{
eye_raz2 = 1; nos2 = 1; rot2 = 1; face2 = 1;
try
{
using (OpenFileDialogofd = new OpenFileDialog() { Multiselect = false, Filter = "Image Files (*.jpg;*.png;*.bmp;)|*.jpg;*.png;*.bmp;|All Files (*.*)|*.*;" })
{
if (ofd.ShowDialog() == DialogResult.OK)
{
inti = 0;
Image<Bgr, byte>inputImage = new Image<Bgr, byte>(ofd.FileName);
Image<Gray, byte>grayImage = inputImage.Convert<Gray, byte>().Clone();
Rectangle[] faces = FaceClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle face in faces)
{
inputImage.Draw(face, new Bgr(113, 113, 245), 2);
CvInvoke.PutText(inputImage, "Face2", new System.Drawing.Point(face.X + 3, face.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
face2 = face.Bottom + face.X+face.Width;
}
Rectangle[] eyes = EyeClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle eye in eyes)
{
inputImage.Draw(eye, new Bgr(113, 245, 177), 2);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(eye.X + 3, eye.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
}
i = 0;
if (eyes.Length> 1) eye_raz2 = eyes[0].Location.X + eyes[0].Location.Y - eyes[1].Location.X + eyes[1].Location.Y;
Rectangle[] smiles = SmileClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle smile in smiles)
{
if (smile.Location.Y>inputImage.Height * 0.6)
{
CvInvoke.Rectangle(inputImage, smile, new Bgr(Color.Teal).MCvScalar, 2);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(smile.X + 3, smile.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
rot2 = smile.Location.X + smile.Location.Y;
}
}
i = 0;
Rectangle[] Nose = CatClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle nos in Nose)
{
CvInvoke.Rectangle(inputImage, nos, new Bgr(Color.Yellow).MCvScalar, 3);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(nos.X + 3, nos.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
nos2 = nos.Location.X + nos.Location.Y;
}
pictureBox2.Image = inputImage.AsBitmap();
file2 = ofd.FileName;
grayImage.Dispose();
inputImage.Dispose();
}
}
}
catch
{
MessageBox.Show("Something went wrong.");
}
}
private void Button3_Click(object sender, EventArgs e)
{
try
{
string currentDirectory = Environment.CurrentDirectory + "\\models";
FaceRecognitionfr;
fr = FaceRecognition.Create(currentDirectory);
varrecog = FaceRecognition.LoadImageFile(file1);
varenToCompare = fr.FaceEncodings(recog).First();
var recog2 = FaceRecognition.LoadImageFile(file2);
var enToCompare2 = fr.FaceEncodings(recog2).First();
//MessageBox.Show("Похоже, что это один человек!", "Результат", MessageBoxButtons.OK);
Graf();
}
catch
{
// MessageBox.Show("Это два разных человека!", "Результат", MessageBoxButtons.OK, MessageBoxIcon.Error);
Graf();
}
}
privatevoidGraf()
{
//расчет главного процента совпадения
double FACE =
(((face1 > face2 ? (1 - Convert.ToDouble(face1 - face2) / face1) : (1 - Convert.ToDouble(face2 - face1) / face2)) * 100)
+
((eye_raz1 > eye_raz2 ? (1 - Convert.ToDouble(eye_raz1 - eye_raz2) / eye_raz1) : (1 - Convert.ToDouble(eye_raz2 - eye_raz1) / eye_raz2)) * 100)
+
((nos1 > nos2 ? (1 - Convert.ToDouble(nos1 - nos2) / nos1) : (1 - Convert.ToDouble(nos2 - nos1) / nos2)) * 100)
+
((rot1 > rot2 ? (1 - Convert.ToDouble(rot1 - rot2) / rot1) : (1 - Convert.ToDouble(rot2 - rot1) / rot2)) * 100)) /4;
pego1.Visible = true;
pego1.PeString.MainTitle = "Процентсовпадения " + FACE + " %";
pego1.PeString.SubTitle = "";
pego1.PeData.Subsets = 2;
pego1.PeData.Points = 4;
pego1.PeData.Y[0, 0] = face1;
pego1.PeData.Y[0, 1] = eye_raz1;
pego1.PeData.Y[0, 2] = nos1;
pego1.PeData.Y[0, 3] = rot1;
pego1.PeData.Y[1, 0] = face2;
pego1.PeData.Y[1, 1] = eye_raz2;
pego1.PeData.Y[1, 2] = nos2;
pego1.PeData.Y[1, 3] = rot2;
pego1.PeString.PointLabels[0] = "Лицо";
pego1.PeString.PointLabels[1] = "Глаза";
pego1.PeString.PointLabels[2] = "Нос";
pego1.PeString.PointLabels[3] = "Рот";
pego1.PeString.SubsetLabels[0] = "Человек #1";
pego1.PeString.SubsetLabels[1] = "Человек #2";
pego1.PeString.YAxisLabel = "Разницамеждуточкамилица";
pego1.PeColor.SubsetColors[0] = Color.FromArgb(60, 0, 180, 0);
pego1.PeColor.SubsetColors[1] = Color.FromArgb(180, 0, 0, 130);
pego1.PeColor.BitmapGradientMode = false;
pego1.PeColor.QuickStyle = Gigasoft.ProEssentials.Enums.QuickStyle.LightShadow;
pego1.PeTable.Show = Gigasoft.ProEssentials.Enums.GraphPlusTable.Both;
pego1.PeData.Precision = Gigasoft.ProEssentials.Enums.DataPrecision.NoDecimals;
pego1.PeFont.Label.Bold = true;
pego1.PePlot.Method = Gigasoft.ProEssentials.Enums.GraphPlottingMethod.Bar;
pego1.PePlot.Option.GradientBars = 8;
pego1.PePlot.Option.BarGlassEffect = true;
pego1.PeLegend.Location = Gigasoft.ProEssentials.Enums.LegendLocation.Left;
pego1.PePlot.DataShadows = Gigasoft.ProEssentials.Enums.DataShadows.ThreeDimensional;
pego1.PeFont.FontSize = Gigasoft.ProEssentials.Enums.FontSize.Large;
pego1.PePlot.SubsetLineTypes[0] = Gigasoft.ProEssentials.Enums.LineType.MediumSolid;
pego1.PePlot.SubsetLineTypes[1] = Gigasoft.ProEssentials.Enums.LineType.MediumDash;
pego1.PeUserInterface.HotSpot.Data = true;
pego1.PeConfigure.RenderEngine = Gigasoft.ProEssentials.Enums.RenderEngine.Direct2D;
pego1.PeConfigure.PrepareImages = true;
pego1.PeConfigure.CacheBmp = true;
pego1.PeConfigure.AntiAliasGraphics = true;
pego1.PeConfigure.AntiAliasText = true;
pego1.PeFunction.ReinitializeResetImage();
pego1.Refresh();
pego1.Visible = true;
}
}
}
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using FaceRecognitionDotNet;
using Emgu.CV;
using Emgu.CV.CvEnum;
using Emgu.CV.Structure;
namespace FaceDetection
{
public partial class Form1 : Form
{
public string file1, file2 = "";
private static readonlyCascadeClassifierEyeClassifier = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
private static readonlyCascadeClassifierFaceClassifier = new CascadeClassifier("haarcascade_frontalface_default.xml");
private static readonlyCascadeClassifierCatClassifier = new CascadeClassifier("haarcascade_frontalcatface_extended.xml");
private static readonlyCascadeClassifierSmileClassifier = new CascadeClassifier("haarcascade_smile.xml");
//переменныедлярасчетапараметровлиц
int eye_raz1, eye_raz2, nos1, nos2, rot1, rot2, face1, face2 = -1;
private void Button1_Click(object sender, EventArgs e)
{
eye_raz1 = 1; nos1 = 1; rot1 = 1; face1 = -1;
try
{
using (OpenFileDialogofd = new OpenFileDialog() { Multiselect = false, Filter = "Image Files (*.jpg;*.png;*.bmp;)|*.jpg;*.png;*.bmp;|All Files (*.*)|*.*;" })
{
if (ofd.ShowDialog() == DialogResult.OK)
{
Int i = 0;
Image<Bgr, byte>inputImage = new Image<Bgr, byte>(ofd.FileName);
Image<Gray, byte>grayImage = inputImage.Convert<Gray, byte>().Clone();
Rectangle[] faces = FaceClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle face in faces)
{
inputImage.Draw(face, new Bgr(113, 113, 245), 2);
CvInvoke.PutText(inputImage, "Face1", new System.Drawing.Point(face.X + 3, face.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
face1 = face.Bottom + face.X+face.Width;
}
Rectangle[] eyes = EyeClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle eye in eyes)
{
inputImage.Draw(eye, new Bgr(113, 245, 177), 2);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(eye.X + 3, eye.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
}
if (eyes.Length> 1) eye_raz1 = eyes[0].Location.X + eyes[0].Location.Y - eyes[1].Location.X + eyes[1].Location.Y;
i = 0;
Rectangle[] smiles = SmileClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle smile in smiles)
{
if (smile.Location.Y>inputImage.Height * 0.6)
{
CvInvoke.Rectangle(inputImage, smile, new Bgr(Color.Teal).MCvScalar, 2);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(smile.X + 3, smile.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
rot1 = smile.Location.X + smile.Location.Y;
}
}
i = 0;
Rectangle[] Nose = CatClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle nos in Nose)
{
CvInvoke.Rectangle(inputImage, nos, new Bgr(Color.Yellow).MCvScalar, 3);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(nos.X + 3, nos.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
nos1 = nos.Location.X + nos.Location.Y;
}
pictureBox1.Image = inputImage.AsBitmap();
file1 = ofd.FileName;
grayImage.Dispose();
inputImage.Dispose();
}
}
}
catch
{
}
}
public Form1()
{
InitializeComponent();
}
private void Button2_Click(object sender, EventArgs e)
{
eye_raz2 = 1; nos2 = 1; rot2 = 1; face2 = 1;
try
{
using (OpenFileDialogofd = new OpenFileDialog() { Multiselect = false, Filter = "Image Files (*.jpg;*.png;*.bmp;)|*.jpg;*.png;*.bmp;|All Files (*.*)|*.*;" })
{
if (ofd.ShowDialog() == DialogResult.OK)
{
inti = 0;
Image<Bgr, byte>inputImage = new Image<Bgr, byte>(ofd.FileName);
Image<Gray, byte>grayImage = inputImage.Convert<Gray, byte>().Clone();
Rectangle[] faces = FaceClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle face in faces)
{
inputImage.Draw(face, new Bgr(113, 113, 245), 2);
CvInvoke.PutText(inputImage, "Face2", new System.Drawing.Point(face.X + 3, face.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
face2 = face.Bottom + face.X+face.Width;
}
Rectangle[] eyes = EyeClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle eye in eyes)
{
inputImage.Draw(eye, new Bgr(113, 245, 177), 2);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(eye.X + 3, eye.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
}
i = 0;
if (eyes.Length> 1) eye_raz2 = eyes[0].Location.X + eyes[0].Location.Y - eyes[1].Location.X + eyes[1].Location.Y;
Rectangle[] smiles = SmileClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle smile in smiles)
{
if (smile.Location.Y>inputImage.Height * 0.6)
{
CvInvoke.Rectangle(inputImage, smile, new Bgr(Color.Teal).MCvScalar, 2);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(smile.X + 3, smile.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
rot2 = smile.Location.X + smile.Location.Y;
}
}
i = 0;
Rectangle[] Nose = CatClassifier.DetectMultiScale(grayImage, 1.05, 3);
foreach (Rectangle nos in Nose)
{
CvInvoke.Rectangle(inputImage, nos, new Bgr(Color.Yellow).MCvScalar, 3);
CvInvoke.PutText(inputImage, "" + i++, new System.Drawing.Point(nos.X + 3, nos.Y + 13), FontFace.HersheySimplex, 0.4, new Bgr(Color.Black).MCvScalar);
nos2 = nos.Location.X + nos.Location.Y;
}
pictureBox2.Image = inputImage.AsBitmap();
file2 = ofd.FileName;
grayImage.Dispose();
inputImage.Dispose();
}
}
}
catch
{
MessageBox.Show("Something went wrong.");
}
}
private void Button3_Click(object sender, EventArgs e)
{
try
{
string currentDirectory = Environment.CurrentDirectory + "\\models";
FaceRecognitionfr;
fr = FaceRecognition.Create(currentDirectory);
varrecog = FaceRecognition.LoadImageFile(file1);
varenToCompare = fr.FaceEncodings(recog).First();
var recog2 = FaceRecognition.LoadImageFile(file2);
var enToCompare2 = fr.FaceEncodings(recog2).First();
//MessageBox.Show("Похоже, что это один человек!", "Результат", MessageBoxButtons.OK);
Graf();
}
catch
{
// MessageBox.Show("Это два разных человека!", "Результат", MessageBoxButtons.OK, MessageBoxIcon.Error);
Graf();
}
}
privatevoidGraf()
{
//расчет главного процента совпадения
double FACE =
(((face1 > face2 ? (1 - Convert.ToDouble(face1 - face2) / face1) : (1 - Convert.ToDouble(face2 - face1) / face2)) * 100)
+
((eye_raz1 > eye_raz2 ? (1 - Convert.ToDouble(eye_raz1 - eye_raz2) / eye_raz1) : (1 - Convert.ToDouble(eye_raz2 - eye_raz1) / eye_raz2)) * 100)
+
((nos1 > nos2 ? (1 - Convert.ToDouble(nos1 - nos2) / nos1) : (1 - Convert.ToDouble(nos2 - nos1) / nos2)) * 100)
+
((rot1 > rot2 ? (1 - Convert.ToDouble(rot1 - rot2) / rot1) : (1 - Convert.ToDouble(rot2 - rot1) / rot2)) * 100)) /4;
pego1.Visible = true;
pego1.PeString.MainTitle = "Процентсовпадения " + FACE + " %";
pego1.PeString.SubTitle = "";
pego1.PeData.Subsets = 2;
pego1.PeData.Points = 4;
pego1.PeData.Y[0, 0] = face1;
pego1.PeData.Y[0, 1] = eye_raz1;
pego1.PeData.Y[0, 2] = nos1;
pego1.PeData.Y[0, 3] = rot1;
pego1.PeData.Y[1, 0] = face2;
pego1.PeData.Y[1, 1] = eye_raz2;
pego1.PeData.Y[1, 2] = nos2;
pego1.PeData.Y[1, 3] = rot2;
pego1.PeString.PointLabels[0] = "Лицо";
pego1.PeString.PointLabels[1] = "Глаза";
pego1.PeString.PointLabels[2] = "Нос";
pego1.PeString.PointLabels[3] = "Рот";
pego1.PeString.SubsetLabels[0] = "Человек #1";
pego1.PeString.SubsetLabels[1] = "Человек #2";
pego1.PeString.YAxisLabel = "Разницамеждуточкамилица";
pego1.PeColor.SubsetColors[0] = Color.FromArgb(60, 0, 180, 0);
pego1.PeColor.SubsetColors[1] = Color.FromArgb(180, 0, 0, 130);
pego1.PeColor.BitmapGradientMode = false;
pego1.PeColor.QuickStyle = Gigasoft.ProEssentials.Enums.QuickStyle.LightShadow;
pego1.PeTable.Show = Gigasoft.ProEssentials.Enums.GraphPlusTable.Both;
pego1.PeData.Precision = Gigasoft.ProEssentials.Enums.DataPrecision.NoDecimals;
pego1.PeFont.Label.Bold = true;
pego1.PePlot.Method = Gigasoft.ProEssentials.Enums.GraphPlottingMethod.Bar;
pego1.PePlot.Option.GradientBars = 8;
pego1.PePlot.Option.BarGlassEffect = true;
pego1.PeLegend.Location = Gigasoft.ProEssentials.Enums.LegendLocation.Left;
pego1.PePlot.DataShadows = Gigasoft.ProEssentials.Enums.DataShadows.ThreeDimensional;
pego1.PeFont.FontSize = Gigasoft.ProEssentials.Enums.FontSize.Large;
pego1.PePlot.SubsetLineTypes[0] = Gigasoft.ProEssentials.Enums.LineType.MediumSolid;
pego1.PePlot.SubsetLineTypes[1] = Gigasoft.ProEssentials.Enums.LineType.MediumDash;
pego1.PeUserInterface.HotSpot.Data = true;
pego1.PeConfigure.RenderEngine = Gigasoft.ProEssentials.Enums.RenderEngine.Direct2D;
pego1.PeConfigure.PrepareImages = true;
pego1.PeConfigure.CacheBmp = true;
pego1.PeConfigure.AntiAliasGraphics = true;
pego1.PeConfigure.AntiAliasText = true;
pego1.PeFunction.ReinitializeResetImage();
pego1.Refresh();
pego1.Visible = true;
}
}
}
