环境：win10，VS,

1.利用C++实现OpenCV和haarcascade人脸检测

1.1.下载一张有人脸的照片

1.2.下载haarcascade_frontalface_default.xml

下载地址：opencv/haarcascade_frontalface_default.xml at master · opencv/opencv · GitHub

1.3.实现代码

#include <opencv2/imgcodecs.hpp>#include <opencv2/highgui.hpp>#include <opencv2/imgproc.hpp>#include <opencv2/objdetect.hpp>#include <iostream>using namespace cv;using namespace std;int main(){string path = "D:\\VSProjectFile\\cv\\lina.jpg";Mat img = imread(path);CascadeClassifier faceCascade;faceCascade.load("haarcascade_frontalface_default.xml");if (faceCascade.empty()) { cout << "XML file not loaded" << endl; }vector<Rect> faces;faceCascade.detectMultiScale(img, faces, 1.1, 10);for (int i = 0; i < faces.size(); i++){rectangle(img, faces[i].tl(), faces[i].br(), Scalar(255, 0, 255), 3);}imshow("Image", img);waitKey(0);return 0;}

2.利用C++实现dlib实现人脸检测

用opencv加载图像，然后调用dlib进行人脸检测，得到人脸所在区域以及特征点，最后还是用opencv描绘人脸特征点.