opencv人脸识别特征脸训练部分出错 求懂得老师大神解决。

在b站上学习贾志刚老师的opencv人脸识别教程 用vs2019和opencv3.2.0做人脸识别的时候 在训练特征脸的时候 程序老是出现LNK2019错误 求懂得大神解决

#include <opencv2/opencv.hpp>
#include <opencv2/face.hpp>
#include <iostream>

using namespace cv;
using namespace cv::face;
using namespace std;

int main(int argc, char** argv) {
    string filename = string("D:/outface/orl_faces/s1");
    ifstream file(filename.c_str(), ifstream::in);
    if (!file) {
        printf("could not load file correctly...\n");
        return -1;
    }

    string line, path, classlabel;
    vector<Mat> images;
    vector<int> labels;
    char separator = ';';
    while (getline(file, line)) {
        stringstream liness(line);
        getline(liness, path, separator);
        getline(liness, classlabel);
        if (!path.empty() && !classlabel.empty()) {
            //printf("path : %s\n", path.c_str());
            images.push_back(imread(path, 0));
            labels.push_back(atoi(classlabel.c_str()));
        }
    }

    if (images.size() < 1 || labels.size() < 1) {
        printf("invalid image path...\n");
        return -1;
    }

    int height = images[0].rows;
    int width = images[0].cols;
    printf("height : %d, width : %d\n", height, width);

    Mat testSample = images[images.size() - 1];
    int testLabel = labels[labels.size() - 1];
    images.pop_back();
    labels.pop_back();

    // train it
    Ptr<BasicFaceRecognizer> model = createEigenFaceRecognizer();
    model->train(images, labels);

    // recognition face
    int predictedLabel = model->predict(testSample);
    printf("actual label : %d, predict label :  %d\n", testLabel, predictedLabel);

    Mat eigenvalues = model->getEigenValues();
    Mat W = model->getEigenVectors();
    Mat mean = model->getMean();
    Mat meanFace = mean.reshape(1, height);
    Mat dst;
    if (meanFace.channels() == 1) {
        normalize(meanFace, dst, 0, 255, NORM_MINMAX, CV_8UC1);
    }
    else if (meanFace.channels() == 3) {
        normalize(meanFace, dst, 0, 255, NORM_MINMAX, CV_8UC3);
    }
    imshow("Mean Face", dst);

    // show eigen faces
    for (int i = 0; i < min(10, W.cols); i++) {
        Mat ev = W.col(i).clone();
        Mat grayscale;
        Mat eigenFace = ev.reshape(1, height);
        if (eigenFace.channels() == 1) {
            normalize(eigenFace, grayscale, 0, 255, NORM_MINMAX, CV_8UC1);
        }
        else if (eigenFace.channels() == 3) {
            normalize(eigenFace, grayscale, 0, 255, NORM_MINMAX, CV_8UC3);
        }
        Mat colorface;
        applyColorMap(grayscale, colorface, COLORMAP_JET);
        char* winTitle = new char[128];
        sprintf(winTitle, "eigenface_%d", i);
        imshow(winTitle, colorface);
    }

    // 重建人脸
    for (int num = min(10, W.cols); num < min(W.cols, 300); num += 15) {
        Mat evs = Mat(W, Range::all(), Range(0, num));
        Mat projection = LDA::subspaceProject(evs, mean, images[0].reshape(1, 1));
        Mat reconstruction = LDA::subspaceReconstruct(evs, mean, projection);

        Mat result = reconstruction.reshape(1, height);
        if (result.channels() == 1) {
            normalize(result, reconstruction, 0, 255, NORM_MINMAX, CV_8UC1);
        }
        else if (result.channels() == 3) {
            normalize(result, reconstruction, 0, 255, NORM_MINMAX, CV_8UC3);
        }
        char* winTitle = new char[128];
        sprintf(winTitle, "recon_face_%d", num);
        imshow(winTitle, reconstruction);
    }

    waitKey(0);
    return 0;
}

我记得应该是create函数要写成eigenface：：create