這裡用到了大名鼎鼎於仕琪老師的開源庫，下面附上於老師的專案下載連結

https://github.com/ShiqiYu/libfacedetection

然後就是環境的配置，具體見連結

#include <opencv.hpp>
#include <facedetect-dll.h>
using namespace cv;
using namespace std;

//定義緩衝區大小。不要改變尺寸!
#define DETECT_BUFFER_SIZE 0x20000

int main()
{
    int * pResults = NULL;
    //在檢測函式中使用了pBuffer。
    //如果你呼叫多個執行緒中的函式，請為每個執行緒建立一個緩衝區!
    unsigned char * pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);
    if (!pBuffer)
    {
        fprintf(stderr, "Can not alloc buffer.\n");
        return -1;
    }
    Mat src = imread("keliamoniz1.jpg");
    Mat gray;
    cvtColor(src, gray, CV_BGR2GRAY);
    int doLandmark = 1;// do landmark detection
    pResults = facedetect_multiview_reinforce(pBuffer, (unsigned char*)(gray.ptr(0)), gray.cols, gray.rows, (int)gray.step,
        1.2f, 2, 48, 0, doLandmark);
    //列印檢測結果
    for (int i = 0; i < (pResults ? *pResults : 0); i++)
    {
        short * p = ((short*)(pResults + 1)) + 142 * i;
        rectangle(src, Rect(p[0], p[1], p[2], p[3]), Scalar(0, 255, 0), 2);
        if (doLandmark)
        {
            for (int j = 0; j < 68; j++)
                circle(src, Point((int)p[6 + 2 * j], (int)p[6 + 2 * j + 1]), 1, Scalar(0, 0, 255),2);
        }
    }
    imshow("Show", src);
    waitKey(0);
}
 

毫秒級，速度比藉助dlib快非常多