如何快糙好猛的使用libfacedetection庫【最新版】

前言

最近已經很少看CSDN了。這一年多準備考研,基本上怕是不會再怎麼上了。以前有一個http://blog.csdn.net/mr_curry/article/details/51804072 如何快糙好猛的使用Shiqi.Yu老師的公開人臉檢測庫(附源碼)的BLOG,因爲於老師的庫已經更新了,所以重新寫一下吧。
PS:這個庫越來越強了,已經可以做人臉關鍵點檢測了。關鍵點檢測可以用於矯正人臉,再也不要用慢的要死的dlib啦~~

配置

五張圖帶你解決問題:(X64,Debug)
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然後你需要把opencv的屬性表也引進來:
這裏寫圖片描述

兩個方法,加系統變量或者放到和exe同一個文件夾下。加了系統變量後重啓一次才生效,所以這裏就直接放咯
這裏寫圖片描述

代碼

我們直接用FDDB上評測效果最好的函數:facedetect_multiview_reinforce
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#include <opencv.hpp>
#include <facedetect-dll.h>
using namespace cv;
using namespace std;

//define the buffer size. Do not change the size!
#define DETECT_BUFFER_SIZE 0x20000

int main()
{
    int * pResults = NULL;
    //pBuffer is used in the detection functions.
    //If you call functions in multiple threads, please create one buffer for each thread!
    unsigned char * pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);
    if (!pBuffer)
    {
        fprintf(stderr, "Can not alloc buffer.\n");
        return -1;
    }
    Mat src = imread("img.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);
    //print the detection results
    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);
}

效果還是很贊:
這裏寫圖片描述

視頻流中的人臉檢測代碼就是用VideoCapture解析爲Mat然後循環檢測啊:

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

//define the buffer size. Do not change the size!
#define DETECT_BUFFER_SIZE 0x20000

int main()
{
    int * pResults = NULL;
    //pBuffer is used in the detection functions.
    //If you call functions in multiple threads, please create one buffer for each thread!
    unsigned char * pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);
    if (!pBuffer)
    {
        fprintf(stderr, "Can not alloc buffer.\n");
        return -1;
    }
    int doLandmark = 1;// do landmark detection
    VideoCapture cap(0);
    if (!cap.isOpened()){
        cout << "Please check your USB camera's interface num." << endl;
        return 0;
    }
    Mat src;
    while (true)
    {
        cap >> src;
        if (!src.empty()){
            Mat gray;
            cvtColor(src, gray, CV_BGR2GRAY);
            pResults = facedetect_multiview_reinforce(pBuffer, (unsigned char*)(gray.ptr(0)), gray.cols, gray.rows, (int)gray.step,
                1.2f, 2, 48, 0, 1);
            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(1);
        }

    }
}
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