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Rect Facerecognizer(Mat now_frame)
{
Mat prev, next;
cvtColor(now_frame, next, CV_BGR2GRAY);
equalizeHist(next,next);
Point center_of_frame(now_frame.size().width/2,now_frame.size().height/2);
circle(now_frame, center_of_frame, 1, CV_RGB(0,255,255),8,8,0);
String face_cascade_XML = "/Users/x/Downloads/opencv-master/data/haarcascades/haarcascade_frontalface_alt2.xml";
CascadeClassifier face_cascade;
vector<Rect> faces(1);
if( !face_cascade.load( face_cascade_XML ) ){
cout << "Cascade Error" << endl;
};
face_cascade.detectMultiScale( now_frame, faces, 1.1, 2, CASCADE_DO_CANNY_PRUNING, Size(300, 300) );
if (!faces.empty()) {
for( auto faces : faces)
{
Point center_position_of_face((faces.br().x+faces.tl().x)/2,(faces.tl().y+faces.br().y)/2);
Point corner_1(faces.br().x,faces.tl().y);
Point corner_2 = faces.tl();
Point corner_3 = faces.br();
Point corner_4(faces.tl().x,faces.br().y);
rectangle(now_frame, faces, CV_RGB(0,255,0),4,8,0);
circle(now_frame, center_position_of_face, 8, CV_RGB(128,128,128),8,8,0);
circle(now_frame, corner_1, 1, CV_RGB(128,128,128),8,8,0);
circle(now_frame, corner_2, 1, CV_RGB(128,128,128),8,8,0);
circle(now_frame, corner_3, 1, CV_RGB(128,128,128),8,8,0);
circle(now_frame, corner_4, 1, CV_RGB(128,128,128),8,8,0);
line(now_frame, center_position_of_face, center_of_frame, CV_RGB(0,200,0),1,8);
}
}
flip(now_frame, now_frame, 1);
imshow( "Facerecognizer", now_frame );
return faces.back(); // return a rect of where the face was detected.
}
int main( int argc, char** argv )
{
VideoCapture cap(0);
TermCriteria termcrit(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS, 20, 0.01);
Size subPixWinSize(10,10), winSize(31,31);
if( !cap.isOpened() )
{
cout << "Could not initialize capturing...\n";
return 0;
}
Mat gray, prevGray, image,test;
//vector<Point2f> points[2];
Rect face;
while (waitKey(1) != 'y') {
cap >> test;
face = Facerecognizer(test);
}
destroyWindow("Facerecognizer");
while (1) { // tracking state
Mat frame;
cap >> frame;
if( frame.empty() )
break;
frame.copyTo(image);
cvtColor(image, gray, COLOR_BGR2GRAY);
Mat mask(frame.size(),CV_8UC1,Scalar(0));
mask(face).setTo(Scalar(255));
bool reinit;
static uint64_t c;
if (c++ == 0 || reinit == true) //detect good feature for tracking of face
{
cout << "automatic initialization" << endl;
goodFeaturesToTrack(gray, points[1], MAX_COUNT, 0.01, 10, mask, 3, 0, 0.04);
cornerSubPix(gray, points[1], subPixWinSize, Size(-1,-1), termcrit);
reinit = false;
}
if( !points[0].empty() )
{
// cout << "i am here" << endl;
vector<uchar> status;
vector<float> err;
if(prevGray.empty())
{
gray.copyTo(prevGray);
}
calcOpticalFlowPyrLK(prevGray, gray, points[0], points[1], status, err, winSize,3, termcrit, 0, quality level); // track points
//RotatedRect ka = fitEllipse(points[1]);
//rectangle(image, ka.boundingRect(), CV_RGB(0, 0, 255));
size_t i, k;
//outlier_point();
for( i = k = 0; i < points[1].size(); i++ )
{
if( !status[i] )
{
cout << " point removed " << endl;
circle( image, points[1][i],11, Scalar(255,0,0), -1, 8);
continue;
}
points[1][k++] = points[1][i];
circle( image, points[1][i], 3, Scalar(0,255,0), -1, 8);
}
cout << "k: " << k << endl;
points[1].resize(k);
}
if( points[1].size() < (size_t)MAX_COUNT )
{
vector<Point2f> tmp;
tmp.push_back(point);
cornerSubPix( gray, tmp, winSize, cvSize(-1,-1), termcrit);
points[1].push_back(tmp[0]);
}
flip(image, image, 1);
imshow("LK Demo", image);
std::swap(points[1], points[0]);
cv::swap(prevGray, gray);
cout << "new - point: "<<points[1].size() << endl;
cout << "old - point: " << points[0].size() << endl;
if(points[1].size() < 100 ) // problem occurring when i reach this if state - No points to track.
{
destroyWindow("LK Demo");
face = Facerecognizer(frame);
destroyWindow("Facerecognizer");
reinit = true;
}
}
return 0;
}
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