用opencv和VS实现人脸识别代码

好的，下面是实现人脸识别的代码：

1.引入opencv库和头文件：

#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/face.hpp>
#include <iostream>
#include <fstream>
#include <sstream>
#include <vector>

2.定义人脸检测器和识别器：

cv::CascadeClassifier face_detector("路径/haarcascade_frontalface_alt.xml");
cv::Ptr<cv::face::FaceRecognizer> face_recognizer;
face_recognizer = cv::face::LBPHFaceRecognizer::create();

3.加载训练好的模型：

face_recognizer->read("路径/模型名称.xml");

4.读入测试图片：

cv::Mat test_image = cv::imread("路径/测试图片.jpg", cv::IMREAD_GRAYSCALE);

5.检测人脸并进行识别：

std::vector<cv::Rect> faces;
face_detector.detectMultiScale(test_image, faces);

for (int i = 0; i < faces.size(); i++)
{
    cv::Rect face = faces[i];
    cv::Mat face_roi = test_image(face);
    cv::resize(face_roi, face_roi, cv::Size(100, 100));

    int predicted_label = -1;
    double predicted_confidence = 0.0;
    face_recognizer->predict(face_roi, predicted_label, predicted_confidence);

    std::cout << "Predicted label = " << predicted_label << "\tConfidence = " << predicted_confidence << std::endl;

    cv::rectangle(test_image, face, cv::Scalar(255, 0, 0), 2);
    cv::putText(test_image, "Person " + std::to_string(predicted_label), cv::Point(face.x, face.y - 10), cv::FONT_HERSHEY_PLAIN, 1, cv::Scalar(0, 255, 0), 2);
}

6.显示结果：

cv::imshow("Test Image", test_image);
cv::waitKey(0);

希望这份代码可以帮到你。