emmm
终于敲了一遍了，到这儿教学视频的实践就结束了~， 视频质量还行，值得一看~
Record
1、常用的人脸识别方法：基于PCA变换的人脸识别（EigenFaceRecognizer）、基于Fisher变换的人脸识别（FisherFaceRecognizer）、基于局部二值模式的人脸识别（LBPHFaceRecognizer）;
2、基本步骤：①使用人脸检测类对训练图片进行提取，将训练图片归一化到相同大小；②创建PCA人脸分类器，对处理好的训练图片（必须是灰度图）进行训练；③调用predict()函数进行人脸识别；
3、训练图片的样本最好在100张以上；
Code
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.IO;
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.CvEnum;
using Emgu.Util;
using Emgu.CV.Util;
using System.Drawing;
using Emgu.CV.Face;
namespace Lesson38
{
class Program
{
static void Main(string[] args)
{
//DataSet数据格式化
//Console.WriteLine("Please enter face id: ");
//string strID = Console.ReadLine();
//Console.WriteLine("Your face id is : {0}", strID);
//Console.WriteLine("Please enter sample num: ");
//string strNum = Console.ReadLine();
//Console.WriteLine("Sample num is : {0}", strNum);
//CascadeClassifier face_cascade = new CascadeClassifier("haarcascade_frontalface_alt.xml"); //加载人脸分类器
//Mat faceImg = CvInvoke.Imread("./刘亦菲/1 (2).jpg");
//Mat gray = new Mat();
//CvInvoke.CvtColor(faceImg, gray, ColorConversion.Bgr2Gray);
CvInvoke.EqualizeHist(gray, gray); //直方图均衡化避免亮度偏暗或偏亮
//Rectangle[] facesDetect = face_cascade.DetectMultiScale(gray, 1.1, 2, new Size(50, 50));
//foreach (Rectangle face in facesDetect)
//{
// CvInvoke.Rectangle(faceImg, face, new MCvScalar(0, 255, 0), 2); //矩形标注
// Mat faceROI = new Mat(gray, face);
// CvInvoke.Resize(faceROI, faceROI, new Size(75, 75));
// string savePath = string.Format("DataSet/{0}_{1}.jpg", strID, strNum);
// CvInvoke.Imwrite(savePath, faceROI);
//}
//CvInvoke.Imshow("FaceDetect", faceImg);
//CvInvoke.WaitKey(0);
//训练样本
//批量读取无序图片
//记得添加using System.IO;
//var files = Directory.GetFiles("./DataSet", "*.jpg"); //文件夹下jpg类型文件
//foreach (var file in files)
// Console.WriteLine(file);
//DirectoryInfo dir = new DirectoryInfo("./DataSet");
//FileInfo[] afi = dir.GetFiles("*.*");
//string fileName;
//VectorOfMat images = new VectorOfMat(); //Mat图像集合
//VectorOfInt labels = new VectorOfInt(); //int类型ID标签集合
//for (int i = 0; i < afi.Length; i++)
//{
// fileName = afi[i].Name.ToLower();
// if (fileName.EndsWith(".jpg"))
// {
// //Console.WriteLine(fileName); //1_1.jpg
// //Console.WriteLine("./DataSet/" + fileName);
// string[] strArray = fileName.Split('_');
// int index = Convert.ToInt32(strArray[0]);
// Mat img = CvInvoke.Imread("./DataSet/" + fileName, 0); //以灰度模式读取
// images.Push(img); //将图像加入到图像集合
// int[] a = (index).ToString().Select(s => int.Parse(s.ToString())).ToArray(); //格式化ID
// labels.Push(a); //将ID加入到ID集合
// }
//}
//FaceRecognizer model = new EigenFaceRecognizer(); //创建人脸识别类为EigenFaceRecognizer类
//model.Train(images, labels); //人脸识别分类器训练（最少2个不同人脸ID）
//model.Write("./xml/faceData.xml"); //将训练好的分类器保存为xml文件
//Console.WriteLine("train finished!");
//人脸识别
//string xmlPath = "./xml/faceData.xml"; //训练好的xml文件路径
//FaceRecognizer model = new EigenFaceRecognizer(); //创建人脸识别类为EigenFaceRecognizer类
//model.Read(xmlPath);//加载人脸识别分类器
//CascadeClassifier face_cascade = new CascadeClassifier("haarcascade_frontalface_alt.xml"); //加载人脸分类器
//Mat faceImg = CvInvoke.Imread("./刘亦菲/1 (19).jpg");
Mat faceImg = CvInvoke.Imread("./黄晓明/1 (15).jpg");
//Mat gray = new Mat();
//CvInvoke.CvtColor(faceImg, gray, ColorConversion.Bgr2Gray);
CvInvoke.EqualizeHist(gray, gray); //直方图均衡化避免亮度偏暗或偏亮
//Rectangle[] facesDetect = face_cascade.DetectMultiScale(gray, 1.1, 2, new Size(50, 50));
//foreach (Rectangle face in facesDetect)
//{
// CvInvoke.Rectangle(faceImg, face, new MCvScalar(0, 255, 0), 2); //矩形标注
// Mat faceROI = new Mat(gray, face);
// CvInvoke.Resize(faceROI, faceROI, new Size(75, 75));
// FaceRecognizer.PredictionResult predictionResult = new FaceRecognizer.PredictionResult(); //定义识别结果类其中包含ID和相似距离
// predictionResult = model.Predict(faceROI); //人脸预测识别，返回ID和相似距离
// int ID = predictionResult.Label; //获取识别到的人脸ID，ID和DB中的姓名对应起来
// string strName = "UnKnown";
// if (ID == 1)
// strName = "Huang Xiaoming";
// else if (ID == 2)
// strName = "Liu Yifei";
// CvInvoke.PutText(faceImg, strName, new Point(face.X, face.Y), FontFace.HersheySimplex, 0.8,
// new MCvScalar(255, 0, 255), 2);
//}
//CvInvoke.Imshow("FaceDetect", faceImg);
//CvInvoke.WaitKey(0);
//中文标识姓名
Mat nameImg1 = CvInvoke.Imread("Name1.png");
Mat nameImg2 = CvInvoke.Imread("Name2.png");
Mat nameImg3 = CvInvoke.Imread("Name3.png");
string xmlPath = "./xml/faceData.xml"; //训练好的xml文件路径
FaceRecognizer model = new EigenFaceRecognizer(); //创建人脸识别类为EigenFaceRecognizer类
model.Read(xmlPath);//加载人脸识别分类器
CascadeClassifier face_cascade = new CascadeClassifier("haarcascade_frontalface_alt.xml"); //加载人脸分类器
//Mat faceImg = CvInvoke.Imread("./刘亦菲/1 (2).jpg");
Mat faceImg = CvInvoke.Imread("./黄晓明/1 (1).jpg");
//Mat faceImg = CvInvoke.Imread("1.jpg");
Mat gray = new Mat();
CvInvoke.CvtColor(faceImg, gray, ColorConversion.Bgr2Gray);
//CvInvoke.EqualizeHist(gray, gray); //直方图均衡化避免亮度偏暗或偏亮
Rectangle[] facesDetect = face_cascade.DetectMultiScale(gray, 1.1, 2, new Size(50, 50));
foreach (Rectangle face in facesDetect)
{
CvInvoke.Rectangle(faceImg, face, new MCvScalar(0, 255, 0), 2); //矩形标注
Mat faceROI = new Mat(gray, face);
CvInvoke.Resize(faceROI, faceROI, new Size(75, 75));
FaceRecognizer.PredictionResult predictionResult = new FaceRecognizer.PredictionResult(); //定义识别结果类其中包含ID和相似距离
predictionResult = model.Predict(faceROI); //人脸预测识别，返回ID和相似距离
int ID = predictionResult.Label; //获取识别到的人脸ID，ID和DB中的姓名对应起来
Mat nameROI = new Mat(faceImg, new Rectangle(face.X, face.Y - nameImg1.Rows, nameImg1.Cols, nameImg1.Rows));
if (ID == 1)
nameImg1.CopyTo(nameROI);
else if (ID == 2)
nameImg2.CopyTo(nameROI);
else
nameImg3.CopyTo(nameROI);
}
CvInvoke.Imshow("FaceDetect", faceImg);
CvInvoke.WaitKey(0);
//视频人脸识别
//VideoCapture cap = new VideoCapture(0);
//if (!cap.IsOpened)
//{
// Console.WriteLine("Open video failed!");
// return;
//}
//Mat frame = new Mat();
//Mat gray = new Mat();
//while (true)
//{
// cap.Read(frame);
// if (frame.IsEmpty)
// {
// Console.WriteLine("frame is empty ...");
// break;
// }
// Mat result = FaceRecFunc(frame);
// CvInvoke.Imshow("video", result);
// if (CvInvoke.WaitKey(30) == 27)
// break;
//}
}
static Mat FaceRecFunc(Mat faceImg)
{
Mat result = faceImg.Clone();
string xmlPath = "./xml/faceData.xml"; //训练好的xml文件路径
FaceRecognizer model = new EigenFaceRecognizer(); //创建人脸识别类为EigenFaceRecognizer类
model.Read(xmlPath);//加载人脸识别分类器
CascadeClassifier face_cascade = new CascadeClassifier("haarcascade_frontalface_alt.xml"); //加载人脸分类器
Mat gray = new Mat();
CvInvoke.CvtColor(faceImg, gray, ColorConversion.Bgr2Gray);
//CvInvoke.EqualizeHist(gray, gray); //直方图均衡化避免亮度偏暗或偏亮
try
{
Rectangle[] facesDetect = face_cascade.DetectMultiScale(gray, 1.1, 2, new Size(50, 50));
foreach (Rectangle face in facesDetect)
{
CvInvoke.Rectangle(result, face, new MCvScalar(0, 255, 0), 2); //矩形标注
Mat faceROI = new Mat(gray, face);
CvInvoke.Resize(faceROI, faceROI, new Size(75, 75));
FaceRecognizer.PredictionResult predictionResult = new FaceRecognizer.PredictionResult(); //定义识别结果类其中包含ID和相似距离
predictionResult = model.Predict(faceROI); //人脸预测识别，返回ID和相似距离
int ID = predictionResult.Label; //获取识别到的人脸ID，ID和DB中的姓名对应起来
string strName = "UnKnown";
if (ID == 1)
strName = "Huang Xiaoming";
else if (ID == 2)
strName = "Liu Yifei";
CvInvoke.PutText(result, strName, new Point(face.X, face.Y), FontFace.HersheySimplex, 0.8,
new MCvScalar(255, 0, 255), 2);
}
}
catch {
}
return result;
}
}
}
效果
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