libfacedetection

libfacedetection测试

#include <stdio.h>
#include <opencv2/opencv.hpp>
#include <facedetect-dll.h>

//define the buffer size. Do not change the size!
//定义缓冲区大小 不要改变大小！
#define DETECT_BUFFER_SIZE 0x20000
using namespace cv;

unsigned char * pBuffer;

void facedetect_frontal_surveillance1(Mat image);

int main()
{
    VideoCapture video1();
    Mat image;
    while ()
    {
        pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);
        if (!pBuffer)
        {
            fprintf(stderr, "Can not alloc buffer.\n");
            return -;
        }

        //load an image and convert it to gray (single-channel)
        //加载图像并将其转换为灰色（单通道）
        //Mat image = imread("E:\\libfacedetection\\libfacedetection_install\\images\\keliamoniz1.jpg");
        video1.read(image);
        //Mat image = imread("E:\\libfacedetection\\libfacedetection_install\\images\\1.jpg");
        if (image.empty())
        {
            return -;
        }
        facedetect_frontal_surveillance1(image);

        //waitKey();
        char c1 = waitKey();
        if (c1 == )
        {
            break;
        }

        free(pBuffer);
    }

    //release the buffer

    return ;
}

void facedetect_frontal_surveillance1(Mat image)
{
    int w1 = image.cols;
    int h1 = image.rows;

    Mat gray;
    cvtColor(image, gray, CV_BGR2GRAY);

    int min_obj_width = ;
    float scale1 = 1.1f;
    int min_neightbors1 = ;

    int * pResults = NULL;
    //pBuffer is used in the detection functions.
    //pBuffer指针用于检测函数。
    //If you call functions in multiple threads, please create one buffer for each thread!
    //如果您在多个线程中调用函数，请为每个线程创建一个缓冲区！

    int doLandmark = ;

    ///////////////////////////////////////////
    // frontal face detection designed for video surveillance / 68 landmark detection
    //正面人脸检测专为视频监控/ 68标志性检测而设计
    // it can detect faces with bad illumination.
    //它可以检测到不良照明的面部。
    //////////////////////////////////////////
    //!!! The input image must be a gray one (single-channel)
    //!!! DO NOT RELEASE pResults !!!
    pResults = facedetect_frontal_surveillance(pBuffer, (unsigned char*)(gray.ptr()), gray.cols, gray.rows, (int)gray.step,
        scale1, min_neightbors1, min_obj_width, , doLandmark);
    //printf("%d faces detected.\n", (pResults ? *pResults : 0));
    Mat result_frontal_surveillance = image.clone();;
    //print the detection results
    for (int i = ; i < (pResults ? *pResults : ); i++)
    {
        short * p = ((short*)(pResults + )) +  * i;
        int x = p[];
        int y = p[];
        int w = p[];
        int h = p[];
        int neighbors = p[];
        int angle = p[];

        printf("face_rect=[%d, %d, %d, %d], neighbors=%d, angle=%d\n", x, y, w, h, neighbors, angle);
        rectangle(result_frontal_surveillance, Rect(x, y, w, h), Scalar(, , ), );
        if (doLandmark)
        {
            for (int j = ; j < ; j++)
                circle(result_frontal_surveillance, Point((int)p[ +  * j], (int)p[ +  * j + ]), , Scalar(, , ));
        }
    }

    if (w1>)
    {
        resize(result_frontal_surveillance, result_frontal_surveillance, Size(w1 / , h1 / ));
    }

    imshow("Results_frontal_surveillance", result_frontal_surveillance);

}