更新业务代码

更新业务代码
删除写入csv部分

Co-Authored-By: Chris Kong <609027949@qq.com>

README.md

@@ -4,6 +4,22 @@ MTCNN-FaceNet-light with c++
 
 只用opencv实现MTCNN和FaceNet
 
+运行环境：
+
+Windows下 Clion VS OpenCV
+
+Opencv配置环境变量
+
+```
+OpenCV_DIR D:/opencv/build/
+```
+
+VS无需特殊配置
+
+Clion将解释器设置成VS的
+
+项目导入Clion，reload CMakeLists.txt，run
+
 2019-12-06 修改多处bug，卷积初始化后直接进行卷积
 
 2019-12-24 添加BN层

src/pikaqiu.cpp

@@ -26,56 +26,6 @@ Mat RS(Mat &src) {
     return dst;
 }
 
-/**
- * 加载csv中的emb
- * @param num csv的个数
- * @param vecVec 将emb参数存在二维vector中，外层定位某个人，内层定位某个emb值
- */
-void load_emb_csv(int num, vector<vector<mydataFmt>> &vecVec) {
-    for (int i = 0; i < num; ++i) {
-        ifstream inFile("../emb_csv/" + to_string(i) + ".csv", ios::in);
-        string lineStr;
-//                vector<vector<mydataFmt>> strArray;
-        vector<mydataFmt> lineArray;
-        while (getline(inFile, lineStr)) {
-            // 打印整行字符串
-//                    cout << lineStr << endl;
-            // 存成二维表结构
-            stringstream ss(lineStr);
-            string str;
-//                    vector<mydataFmt> lineArray;
-            // 按照逗号分隔
-//                    mydataFmt nnn = 0;
-            while (getline(ss, str, ',')) {
-                lineArray.push_back(atof(str.c_str()));
-//                        cout << str << endl;
-            }
-//                    strArray.push_back(lineArray);
-        }
-        vecVec.push_back(lineArray);
-    }
-}
-
-/**
- * 预处理，保存emb值到csv中
- * @param o 保存一个人的emb值
- * @param num 第几个人，确定文件名
- */
-void write_emb_csv(vector<mydataFmt> &o, int num) {
-    ofstream outFile;
-    outFile.open("../emb_csv/" + to_string(num) + ".csv", ios::out); // 打开模式可省略
-    for (int l = 0; l < Num; ++l) {
-//            cout << o[l] << endl;
-        if (l == Num - 1) {
-            outFile << o[l];
-        } else {
-            outFile << o[l] << ',';
-        }
-    }
-    outFile << endl;
-    outFile.close();
-    cout << "write over!" << endl;
-}
 
 /**
  * 对比两个人的emb值，计算空间欧氏距离
@@ -113,98 +63,6 @@ void run_mtcnn(Mat &image, vector<Rect> &vecRect, vector<Point> &vecPoint) {
 //    }
 }
 
-/**
- * 执行facenet网络（一张图与数据库里的多个人脸做比对）
- * @param image 图片
- * @param vecRect 人脸框
- * @param csv_num csv数量 缺省 0 写csv模式
- */
-void run_facenet(Mat &image, vector<Rect> &vecRect, int csv_num = 0) {
-    for (int i = 0; i < vecRect.size(); ++i) {
-        Mat fourthImage;
-        resize(image(vecRect[i]), fourthImage, Size(160, 160), 0, 0, cv::INTER_LINEAR);
-        facenet ggg;
-//        mydataFmt *o = new mydataFmt[Num];
-        vector<mydataFmt> n;
-        vector<vector<mydataFmt>> o;
-        ggg.run(fourthImage, n, i);
-
-//        write_emb_csv(n, i);
-//        return;
-        if (csv_num != 0) {
-            load_emb_csv(csv_num, o);
-            for (int j = 0; j < o.size(); ++j) {
-                float result = compare(n, o[j]);
-                cout << "-------------------" << endl;
-                cout << result << endl;
-                if (result < 0.45)
-                    cout << "it's me" << endl;
-                else
-                    cout << "unknow" << endl;
-                cout << j << endl;
-            }
-        } else {
-            imwrite("../emb_img/" + to_string(i) + ".jpg", fourthImage);
-            write_emb_csv(n, i);
-        }
-    }
-}
-
-/**
- * 执行run_mtcnn和run_facenet
- * 一张图，通过run_mtcnn找到n个人脸
- * n个人脸通过run_facenet与数据库里的m个人脸数据做匹配，看看这n个人分别是谁
- */
-void run() {
-    int b = 0;
-    if (b == 0) {
-
-        Mat image = imread("../test_img/zhangjie0.jpeg");
-
-        clock_t start;
-        start = clock();
-        vector<Rect> vecRect;
-        vector<Point> vecPoint;
-        run_mtcnn(image, vecRect, vecPoint);
-
-        run_facenet(image, vecRect, 13);// 第三个参数csv数量，如果为0，则是保存emb到csv功能
-
-        imshow("result", image);
-        imwrite("../test_img/result.jpg", image);
-        start = clock() - start;
-        //    cout<<"time is  "<<start/10e3<<endl;
-        cout << "time is " << (double) start / CLOCKS_PER_SEC * 1000 << "ms" << endl;
-        waitKey(5000);
-        image.release();
-    } else {
-        Mat image;
-        VideoCapture cap(0);
-        if (!cap.isOpened())
-            cout << "fail to open!" << endl;
-        cap >> image;
-        if (!image.data) {
-            cout << "读取视频失败" << endl;
-        }
-
-        mtcnn find(image.rows, image.cols);
-        clock_t start;
-        int stop = 1200;
-        //while (stop--) {
-        while (true) {
-            start = clock();
-            cap >> image;
-            vector<Rect> vecRect;
-            vector<Point> vecPoint;
-            find.findFace(image, vecRect, vecPoint);
-            imshow("result", image);
-            if (waitKey(1) >= 0) break;
-            start = clock() - start;
-            cout << "time is " << (double) start / CLOCKS_PER_SEC * 1000 << "ms" << endl;
-        }
-        waitKey(0);
-        image.release();
-    }
-}
 
 /**
  * 执行单次单人的facenet网络
@@ -212,7 +70,7 @@ void run() {
  * @param vecRect 人脸框
  * @param n emb值
  */
-void test_facenet(Mat &image, vector<Rect> &vecRect, vector<mydataFmt> &n) {
+void run_facenet(Mat &image, vector<Rect> &vecRect, vector<mydataFmt> &n) {
     Mat fourthImage;
     resize(image(vecRect[0]), fourthImage, Size(160, 160), 0, 0, cv::INTER_LINEAR);
     facenet ggg;
@@ -225,9 +83,10 @@ void test_facenet(Mat &image, vector<Rect> &vecRect, vector<mydataFmt> &n) {
 /**
  * 对比两张图两个人的emb
  */
-void test() {
-    Mat image0 = imread("../test_img/tom1.jpeg");
-    Mat image1 = imread("../test_img/tom0.jpeg");
+void run() {
+    Mat image0 = imread("../test_img/tom0.jpeg");
+    Mat image1 = imread("../test_img/tom1.jpeg");
+    //缩放一下图像
     image0 = RS(image0);
     image1 = RS(image1);
 
@@ -237,9 +96,9 @@ void test() {
     vector<mydataFmt> n0, n1;
     vector<Point> vecPoint0, vecPoint1;
     run_mtcnn(image0, vecRect0, vecPoint0);
-    test_facenet(image0, vecRect0, n0);
+    run_facenet(image0, vecRect0, n0);
     run_mtcnn(image1, vecRect1, vecPoint1);
-    test_facenet(image1, vecRect1, n1);
+    run_facenet(image1, vecRect1, n1);
 
     for (int i = 0; i < vecRect0.size(); ++i) {
         rectangle(image0, vecPoint0[7 * i + 0], vecPoint0[7 * i + 1], Scalar(0, 0, 255), 2, 8, 0);
@@ -270,7 +129,7 @@ void test() {
     start = clock() - start;
     //    cout<<"time is  "<<start/10e3<<endl;
     cout << "time is " << (double) start / CLOCKS_PER_SEC * 1000 << "ms" << endl;
-    waitKey(5000);
+    waitKey(0);
     image0.release();
     image1.release();
 }
@@ -281,7 +140,7 @@ void test() {
  */
 int main() {
     for (int i = 0; i < 1; ++i) {
-        test();
+        run();
         cout << "==============================" << endl;
     }
     return 0;