cascade frontal and profile face
hi i'm woundering if i there exist a xml file to detected both frontal and profile insted of use two files and cascade (detectMultiScale) two times ?
hi i'm woundering if i there exist a xml file to detected both frontal and profile insted of use two files and cascade (detectMultiScale) two times ?
try the face detection dnn, it's much more versatile wrt. pose:
#include "opencv2/opencv.hpp"
#include "opencv2/dnn.hpp"
using namespace cv;
using namespace std;
void drawPred(int classId, float conf, int left, int top, int right, int bottom, Mat& frame)
{
rectangle(frame, Point(left, top), Point(right, bottom), Scalar(0, 255, 0));
std::string label = format("%.2f %d", conf, classId);
int baseLine;
Size labelSize = getTextSize(label, FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);
top = max(top, labelSize.height);
rectangle(frame, Point(left, top - labelSize.height),
Point(left + labelSize.width, top + baseLine), Scalar::all(255), FILLED);
putText(frame, label, Point(left, top), FONT_HERSHEY_SIMPLEX, 0.5, Scalar());
}
int main(int argc, char** argv)
{
float confThreshold = 0.25;
dnn::Net net = dnn::readNetFromCaffe(
"c:/data/mdl/face_detector.prototxt",
"c:/data/mdl/res10_300x300_ssd_iter_140000_fp16.caffemodel");
VideoCapture cap(0);
while(1) {
Mat f;
cap.read(f);
Mat blob = dnn::blobFromImage(f, 1, Size(128,96), Scalar(104, 177, 123, 0), false, false);
net.setInput(blob);
Mat res = net.forward("detection_out");
Mat faces(res.size[2],res.size[3], CV_32F, res.ptr<float>());
//cout << res.size << " " << faces.size() << endl;
//cout << faces << endl;
for (int i=0; i<faces.rows; i++)
{
float *data = faces.ptr<float>(i);
float confidence = data[2];
if (confidence > confThreshold)
{
int left = (int)(data[3] * f.cols);
int top = (int)(data[4] * f.rows);
int right = (int)(data[5] * f.cols);
int bottom = (int)(data[6] * f.rows);
int classId = (int)(data[1]) - 1; // Skip 0th background class id.
drawPred(classId, confidence, left, top, right, bottom, f);
cout << classId<< " " << confidence<< " " << left<< " " << top<< " " << right<< " " << bottom<< endl;
}
}
imshow("F",f);
int k = waitKey(19);
if (k>0) break;
}
return 0;
}
Asked: 2018-06-04 11:21:11 -0600
Seen: 2,364 times
Last updated: Jun 06 '18
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no, there isn't. CascadeClassifiers are not pose invariant.
(and you'd actually have to call it 3 times: frontal and 2 flipped profile images)
try the face detection dnn, it's much more versatile wrt. pose
any tutorial?