opecv人脸检测 c++

以下是使用OpenCV和dlib库进行人脸检测的C++代码示例：

#include <opencv2/opencv.hpp>
#include <dlib/opencv.h>
#include <dlib/image_processing/frontal_face_detector.h>
#include <dlib/image_processing.h>

using namespace cv;
using namespace dlib;

int main()
{
    // 加载图像
    Mat img1 = imread("1.jpg");
    Mat img2 = imread("2.jpg");

    // 初始化人脸检测器
    frontal_face_detector detector = get_frontal_face_detector();
    shape_predictor predictor;
    deserialize("shape_predictor_68_face_landmarks.dat") >> predictor;

    // 将OpenCV图像转换为dlib图像
    cv_image<bgr_pixel> dlib_img1(img1);
    cv_image<bgr_pixel> dlib_img2(img2);

    // 检测人脸并标记关键点
    std::vector<rectangle> dets1 = detector(dlib_img1);
    std::vector<rectangle> dets2 = detector(dlib_img2);
    std::vector<full_object_detection> shapes1, shapes2;
    for (unsigned long i = 0; i < dets1.size(); ++i)
        shapes1.push_back(predictor(dlib_img1, dets1[i]));
    for (unsigned long i = 0; i < dets2.size(); ++i)
        shapes2.push_back(predictor(dlib_img2, dets2[i]));

    // 将dlib图像转换回OpenCV图像
    Mat img1_landmarks = img1.clone();
    Mat img2_landmarks = img2.clone();
    for (unsigned long i = 0; i < shapes1.size(); ++i)
        for (unsigned long j = 0; j < 68; ++j)
            circle(img1_landmarks, Point(shapes1[i].part(j).x(), shapes1[i].part(j).y()), 2, Scalar(0, 255, 0), -1);
    for (unsigned long i = 0; i < shapes2.size(); ++i)
        for (unsigned long j = 0; j < 68; ++j)
            circle(img2_landmarks, Point(shapes2[i].part(j).x(), shapes2[i].part(j).y()), 2, Scalar(0, 255, 0), -1);

    // 显示结果
    imshow("img1 with landmarks", img1_landmarks);
    imshow("img2 with landmarks", img2_landmarks);
    waitKey(0);

    return 0;
}

上述代码使用了dlib库中的人脸检测器和关键点检测器，将OpenCV图像转换为dlib图像进行处理，最后再将dlib图像转换回OpenCV图像进行显示。你可以根据自己的需求对代码进行修改。