1 | initial version |
I have addedd template<typename T> void graphArray
into my code below , where double data[15784];
is saving double values , 15784 is the number of frames in the video file . The code compiles witout error , when
I run , it shows the plot window but it is empty and became unresponsive after a while .
#include <dlib/opencv.h>
#include <opencv2/highgui/highgui.hpp>
#include <dlib/image_processing/frontal_face_detector.h>
#include <dlib/image_processing/render_face_detections.h>
#include <dlib/image_processing.h>
#include <dlib/gui_widgets.h>
using namespace dlib;
using namespace std;
using namespace cv;
template<typename T> void graphArray(const char *title,T* data, int n, int height,bool cont)
{
Mat img(height+1,n,CV_8UC3);
img.setTo(Scalar(255,255,255));
T max=0;
for(int x=0;x<n;x++)
if(data[x]>max)max=data[x];
if(!cont){
for(int x=0;x<n;x++)
img.at<Vec3b>((int)(height-data[x]*height/max),x)=Vec3b(255,0,0);
} else
{
int si,si1,inc;
for(int x=0;x<n-1;x++){
si=data[x]*height/max;si1=data[x+1]*height/max;
if(si1>si)inc=1;else inc=-1;
for(int v=si;v!=si1+inc;v+=inc)
img.at<Vec3b>(height-v,x)=Vec3b(255,0,0);
}
}
namedWindow(title,WINDOW_FREERATIO);
imshow(title,img);
}
int main()
{
try
{
cv::VideoCapture cap("1.avi");
if (!cap.isOpened())
{
cerr << "Unable to connect to camera" << endl;
return 1;
}
image_window win;
frontal_face_detector detector = get_frontal_face_detector();
shape_predictor pose_model;
deserialize("shape_predictor_68_face_landmarks.dat") >> pose_model;
double data[15784];
while(!win.is_closed())
{
// Grab a frame
cv::Mat temp;
cap >> temp;
if ( temp.empty())
{
// reach to the end of the video file
break;
}
cv_image<bgr_pixel> cimg(temp);
std::vector<rectangle> faces = detector(cimg);
std::vector<full_object_detection> shapes;
for (unsigned long i = 0; i < faces.size(); ++i)
{
full_object_detection shape = pose_model(cimg, faces[i]);
double P37_41_x = shape.part(37).x() - shape.part(41).x();
double P37_41_y= shape.part(37).y() -shape.part(41).y() ;
double output=sqrt((P37_41_x * P37_41_x) + (P37_41_y * P37_41_y));
data[i]=output;
graphArray<double>("Plot",data,10,255,true);
shapes.push_back(pose_model(cimg, faces[i]));
const full_object_detection& d = shapes[0];
}
win.clear_overlay();
win.set_image(cimg);
win.add_overlay(render_face_detections(shapes));
}
}
catch(serialization_error& e)
{
cout << "You need dlib's default face landmarking model file to run this example." << endl;
cout << "You can get it from the following URL: " << endl;
cout << " http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2" << endl;
cout << endl << e.what() << endl;
}
catch(exception& e)
{
cout << e.what() << endl;
}
}