OpenCV4.9.0、C++版本的人脸定位与马赛克加密DEMO

#include <iostream> #include <opencv2/opencv.hpp> #include <opencv2/face.hpp> //用摄像头获取图像，定位人脸和关键点 //用人脸关键点进行人脸交换 //在人脸区域打上马赛克 void Fun_LandMark() { //载入正脸检测模型 //载入人脸关键点检测模型 //打开摄像头 //进入取图循环 //检测图像出现的人脸 //对人脸区域进行关键点提取 //绘制关键点 //显示 //人脸 cv::CascadeClassifier faceCascade; faceCascade.load("..\\FaceSwap\\haarcascade_frontalface_alt2.xml"); //关键点 cv::Ptr<cv::face::Facemark> facemark = cv::face::FacemarkLBF::create(); facemark->loadModel("..\\FaceSwap\\lbfmodel.yaml"); //摄像头 cv::VideoCapture cap(0); if (!cap.isOpened()) { printf("无法打开摄像头!\r\n"); return; } //取图 while (1) { cv::Mat frame; cap >> frame; //检测图像是否存在人脸 cv::Mat detImg; cv::cvtColor(frame, detImg, cv::COLOR_BGR2GRAY); std::vector<cv::Rect> faces; faceCascade.detectMultiScale(detImg, faces, 1.1f, 3, 0, cv::Size(80, 80)); if (!faces.empty()) { std::vector<std::vector<cv::Point2f>> landmark; //拟合关键点区域 if (facemark->fit(frame, faces, landmark)) { for (int i = 0; i < landmark.size(); i++) { cv::face::drawFacemarks(frame, landmark[i], cv::Scalar(0, 255, 0)); } } //绘制人脸 for (int i = 0; i < faces.size(); i++) { cv::rectangle(frame, faces[i], cv::Scalar(0, 0, 255)); printf("人脸%d，位置(%d, %d, %d, %d)\r\n", i, faces[i].x, faces[i].y, faces[i].width, faces[i].height); } cv::imshow("face", frame); } else { printf("不存在人脸!\r\n"); } //监听ESC按键事件 if (27 == cv::waitKey(10)) break; } } void Fun_FaceSwap() { //载入人脸检测模型 //载入关键点检测模型 //载入测试图像 //检测图像中的人脸（两个以上的人脸 //提取人脸关键点 //对这两个人脸进行最小外接矩形拟合 //图像融合，交换两个区域 //显示 //人脸 cv::CascadeClassifier faceCascade; faceCascade.load("..\\FaceSwap\\haarcascade_frontalface_alt2.xml"); //关键点 cv::Ptr<cv::face::Facemark> facemark = cv::face::FacemarkLBF::create(); facemark->loadModel("..\\FaceSwap\\lbfmodel.yaml"); //图像 cv::Mat img = cv::imread("..\\FaceSwap\\TestPic\\face.jpg", cv::IMREAD_COLOR); cv::Mat swapImg = img.clone(); //检测图像是否存在人脸 cv::Mat detImg; cv::cvtColor(img, detImg, cv::COLOR_BGR2GRAY); std::vector<cv::Rect> faces; faceCascade.detectMultiScale(detImg, faces, 1.1f, 3, 0, cv::Size(80, 80)); if (!faces.empty()) { std::vector<std::vector<cv::Point2f>> landmark; if (facemark->fit(img, faces, landmark)) { if (landmark.size() >= 2) { std::vector<cv::Point> landmark1, landmark2; for (int i = 0; i < landmark[0].size(); ++i) { landmark1.push_back(cv::Point(landmark[0][i].x, landmark[0][i].y)); landmark2.push_back(cv::Point(landmark[1][i].x, landmark[1][i].y)); } //对点集拟合最小外界矩形 cv::Rect roi1 = cv::boundingRect(landmark1); cv::Rect roi2 = cv::boundingRect(landmark2); //交换人脸 cv::Mat mask1 = cv::Mat(img.size(), CV_8UC1, cv::Scalar(0)); cv::Mat mask2 = cv::Mat(img.size(), CV_8UC1, cv::Scalar(0)); cv::rectangle(mask1, roi1, cv::Scalar(255), -1);//线宽-1表示填充 cv::rectangle(mask2, roi2, cv::Scalar(255), -1);//线宽-1表示填充 cv::Mat out1, out2; cv::Point pt1 = cv::Point(roi1.x + roi1.width / 2, roi1.y + roi1.height / 2); cv::Point pt2 = cv::Point(roi2.x + roi2.width / 2, roi2.y + roi2.height / 2); cv::seamlessClone(swapImg, swapImg, mask2, pt1, out1, cv::MIXED_CLONE); cv::seamlessClone(swapImg, swapImg, mask1, pt2, out2, cv::MIXED_CLONE); cv::imshow("out1", out1); cv::imshow("out2", out2); //cv::seamlessClone } /*for (int i = 0; i < landmark.size(); i++) { cv::face::drawFacemarks(frame, landmark[i], cv::Scalar(0, 255, 0)); }*/ } } cv::imshow("srcImg", img); cv::waitKey(0); } void Fun_FaceMSK() { //载入正脸模型 //打开相机 //进入取图流程 //检测人脸 //对人脸进行马赛克处理 //显示 //人脸 cv::CascadeClassifier faceCascade; faceCascade.load("..\\FaceSwap\\haarcascade_frontalface_alt2.xml"); //相机 cv::VideoCapture cap(0); if (!cap.isOpened()) { printf("无法打开摄像头!\r\n"); return; } //取图 while (1) { cv::Mat frame; cap >> frame; //检测图像是否存在人脸 cv::Mat detImg; cv::cvtColor(frame, detImg, cv::COLOR_BGR2GRAY); std::vector<cv::Rect> faces; faceCascade.detectMultiScale(detImg, faces, 1.1f, 3, 0, cv::Size(80, 80)); printf("已对图像检测人脸是否存在...\r\n"); if (!faces.empty()) { printf("当前存在人脸...\r\n"); //马赛克 int step = 10; for (int i = 0; i < faces.size(); ++i) { cv::rectangle(frame, faces[i], cv::Scalar(0, 0, 255)); //人脸信息提取 int x = faces[i].x; int y = faces[i].y; int width = faces[i].width; int height = faces[i].height; printf("第%d个人脸,ROI信息(%d,%d,%d,%d)...\r\n", x, y, width, height); //只对人脸区域进行处理 //每次只对10*10区域进行处理 for (int r = y; r < (y + height); r += step)//高 { for (int c = x; c < (x + width); c += step)//宽 { //进入区域位置 for (int k = r; k < (step + r); k++) { for (int m = c; m < (step + c); m++) for (int d = 0; d < 3; d++) { //该10*10区域的每个像素的每个通道值，都等于左上角像素的值 frame.at<cv::Vec3b>(k, m)[d] = frame.at<cv::Vec3b>(r, c)[d];//d表示对应通道的索引 } } } } } printf("已对人脸添加马赛克...\r\n"); } cv::imshow("MSK", frame); if (27 == cv::waitKey(10)) break; } } int mainFaceMark() { //Fun_LandMark(); //Fun_FaceSwap(); Fun_FaceMSK(); return 0; }