void FaceDetection::start_work(const cv::Mat &image)
{
in_image = image.clone();
out_image = image.clone();
cv::cvtColor(in_image, in_image, cv::COLOR_BGR2GRAY); // 转为灰度图
cv::equalizeHist(in_image, in_image); // 直方图均衡化
faces.clear();
cascade_classifier.detectMultiScale(in_image, faces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, cv::Size(30, 30));
if (!faces.empty())
{
for (int i = 0; i != faces.size(); ++i)
cv::rectangle(out_image, faces[i], cv::Scalar(0, 0, 255), 1, 8, 0); // 画出人脸部分的矩形框
if (save)
{
faces[0].y -= static_cast<int>(0.1 * faces[0].height);
faces[0].height += static_cast<int>(0.1 * faces[0].height);
cv::resize(in_image(faces[0]), in_image, cv::Size(92, 112)); // 可自己定义图片大小
save_faces(in_image);
system("cls");
std::cout << "OK，您已经保存了" << photo_numbers << "张图片了" << std::endl;
save = false;
}
if (recognize)
{
faces[0].y -= static_cast<int>(0.1 * faces[0].height);
faces[0].height += static_cast<int>(0.1 * faces[0].height);
cv::resize(in_image(faces[0]), in_image, cv::Size(92, 112));
cv::imwrite(".\\data\\me.pgm", in_image);
set_have_image(true);
}
}
cv::imshow("当前帧", out_image);
}
qsave_faces()
{
char *title;
if ((title = get_filename("save faces",
".FAC")) != NULL)
{
save_faces(title);
}
}