前言

#include

#include

#include

#include

#include

#include

#include

#include

#include

#include

using namespace std;

using namespace cv;

using namespace cv::face;

static Mat norm_0_255(Mat src) {

Mat dst;

switch (src.channels())

{

case 1:

normalize(src, dst, 0, 255, NORM_MINMAX, CV_8UC1);

break;

case 3:

normalize(src, dst, 0, 255, NORM_MINMAX, CV_8UC3);

default:

src.copyTo(dst);

break;

}

return dst;

}

static void read_csv(const string& filename, vector& images, vector& labels, char separator = ':') {

ifstream file(filename.c_str(), ifstream::in);

if (!file) {

string errorMessage = "没有提供有效的输入文件, 请检查给定的文件名";

CV_Error(Error::StsBadArg, errorMessage);

}

string line, path, classLabel;

while (getline(file, line)) {

stringstream liness(line);

getline(liness, path, separator);

getline(liness, classLabel);

if (!path.empty() && !classLabel.empty()) {

images.push_back(imread(path));

labels.push_back(atoi(classLabel.c_str()));

}

}

}

#if 1

static void detectHumenFrontFace(Mat& rgb, Mat& gray) {

//加载分类器

std::string cascadeFile = "D:/this.Libraries/opencv4.0.dev.64/etc/haarcascades/haarcascade_frontalface_default.xml";

auto cascade = std::make_shared(cascadeFile);

if (cascade->empty()) {

cerr << "文件读取失败..." << endl;

return;

}

std::vector<:rect> rects;

cascade->detectMultiScale(gray, rects);

rectangle(rgb,

Point(rects[0].x - 2, rects[0].y - 2),

Point(rects[0].x + rects[0].width, rects[0].y + rects[0].height),

Scalar(0, 255, 0));

}

int main(int argc, char* args[]) {

VideoCapture video;

video.open(0);

if (!video.isOpened()) {

cerr << "打开相机失败" << endl;

return 1;

}

while (true) {

Mat img;

video >> img;

Mat rgb;

cvtColor(img, rgb, COLOR_BGR2RGB);

Mat gray;

cvtColor(rgb, gray, COLOR_RGB2GRAY);

Mat graysmall2;

resize(gray, graysmall2, Size(gray.cols / 2, gray.rows / 2));

detectHumenFrontFace(rgb, gray);

imshow("image", rgb);

if (waitKey(10) == 'q')break;

}

return EXIT_SUCCESS;

}

#endif

效果图

IDE配置