如何快糙好猛的使用libfacedetection库【最新版】

前言

最近已经很少看CSDN了。这一年多准备考研，基本上怕是不会再怎么上了。以前有一个http://blog.csdn.net/mr_curry/article/details/51804072 如何快糙好猛的使用Shiqi.Yu老师的公开人脸检测库（附源码）的BLOG，因为于老师的库已经更新了，所以重新写一下吧。

PS：这个库越来越强了，已经可以做人脸关键点检测了。关键点检测可以用于矫正人脸，再也不要用慢的要死的dlib啦~~

配置

五张图带你解决问题：（X64，Debug）

然后你需要把opencv的属性表也引进来：

两个方法，加系统变量或者放到和exe同一个文件夹下。加了系统变量后重启一次才生效，所以这里就直接放咯

代码

我们直接用FDDB上评测效果最好的函数：facedetect_multiview_reinforce

#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);

}

效果还是很赞：

视频流中的人脸检测代码就是用VideoCapture解析为Mat然后循环检测啊：

#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);

        }

    }

}

巴特西

如何快糙好猛的使用libfacedetection库【最新版】

前言

配置

代码

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