void faceTest()
{
String facefile = "F:\\work\\opencv\\build\\etc\\haarcascades\\haarcascade_frontalface_alt.xml";
//脸部识别分类器
CascadeClassifier faceCascader;
if (!faceCascader.load(facefile)) {
printf("无法加载脸部特征文件:%s", facefile);
return;
}
namedWindow("摄像头", CV_WINDOW_AUTOSIZE);
VideoCapture capture(0);//打开摄像头
Mat frame;
Mat gray;
vector<Rect> faces;
int sn = 0;
//实时读取摄像头的图像帧
while (capture.read(frame)) {
//图像变灰
cvtColor(frame, gray, COLOR_RGB2GRAY);
equalizeHist(gray, gray);
faceCascader.detectMultiScale(gray, faces, 1.2, 3, 0, Size(30, 30));
for (size_t faceSize = 0; faceSize < faces.size(); faceSize++)
{
Rect roi;
roi.x = faces[static_cast<int>(faceSize)].x;
roi.y = faces[static_cast<int>(faceSize)].y;
roi.width = faces[static_cast<int>(faceSize)].width;
roi.height = faces[static_cast<int>(faceSize)].height;
Mat faceROI = frame(roi);
//在人脸区域画一个矩形
rectangle(frame, faces[static_cast<int>(faceSize)], Scalar(0, 0, 255), 2, 8, 0);
sn++;
//将sn整型值转为字符串
stringstream stream;
stream << sn;
//生产一个新的文件名
String snStr = "F:\\mm\\1\\img-" + stream.str() + ".jpg";
cout << snStr << endl;
imwrite(snStr, faceROI);
}
imshow("摄像头", frame);
char key = waitKey(30);
//按ESC键退出
if (key == 27) {
break;
}
}
}
int main()
{
faceTest();
waitKey(0);
return 0;
}
在faceCascader.detectMultiScale(gray, faces, 1.2, 3, 0, Size(30, 30));这一句会报错0x00007FF9E591BFF2 (opencv_world341d.dll)处(位于 getphoto.exe 中)引发的异常: 0xC0000005: 读取位置 0x000002C90C45F000 时发生访问冲突。,哪位指点下a