我正在使用 Open CV 测试已经很经典的人脸检测代码,我在vector
. Rect
所以我想让获得Rects
的图像显示在图像上。
while (true) {
camera >> cameraFrame;
if (cameraFrame.empty ()) {
cerr << "Error: Could grab any frame!" << endl;
exit(2);
}
imshow("Hola mundo", cameraFrame);
cameraFrame = shrinkImage(turn2Gray(cameraFrame));
imshow("Hola mundo gris", cameraFrame);
equalizeHist(cameraFrame, equalizedImage);
imshow("Hola mundo surreal y perturbador", equalizedImage);
int flags = CASCADE_SCALE_IMAGE;
Size minFeatureSize(20,20);
float searchScaleFactor = 1.1f;
int minNeighbors = 4;
std::vector<Rect> faces;
faceDetector.detectMultiScale(equalizedImage, faces, searchScaleFactor, minNeighbors, flags, minFeatureSize);
cout << "Caras: " << faces.size() << endl;
for (i=0; i< (int) faces.size(); i++) {
rectangle( equalizedImage, faces[i], CV_RGB(0,255,0), 2, 8, 0 );
}
if (waitKey(20) == 27) {
}
}
我从来没有得到任何要显示的矩形。我的rectangle()
功能有什么问题?
我做了建议的编辑,这就是检测周期现在的样子:
while (true) {
camera >> cameraFrame;
if (cameraFrame.empty ()) {
cerr << "Error: Could grab any frame!" << endl;
exit(2);
}
imshow("Hola mundo", cameraFrame);
greyFrame = shrinkImage(turn2Gray(cameraFrame));
imshow("Hola mundo gris", greyFrame);
equalizeHist(greyFrame, equalizedImage);
imshow("Hola mundo surreal y perturbador", equalizedImage);
faceDetector.detectMultiScale(equalizedImage, faces, searchScaleFactor, minNeighbors, flags, minFeatureSize);
cout << "Caras: " << faces.size() << endl;
for (i=0; i < faces.size(); i++) {
rectangle( cameraFrame, faces[i], CV_RGB(0,255,0), 2, 8, 0 );
}
imshow("Hola Diego", cameraFrame);
if (waitKey(20) == 27) {
break;
}
}