OpenCV_4.2.0/opencv_contrib-4.2.0/modules/dpm/samples/cascade_detect_camera.cpp

145 lines
4.4 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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// Author: Jiaolong Xu <jiaolongxu AT gmail.com>
//M*/
#include <opencv2/dpm.hpp>
#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/videoio/videoio_c.h>
#include <stdio.h>
#include <iostream>
using namespace cv;
using namespace cv::dpm;
using namespace std;
static void help()
{
cout << "\nThis is a demo of \"Deformable Part-based Model (DPM) cascade detection API\" using web camera.\n"
"Call:\n"
"./example_dpm_cascade_detect_camera <model_path>\n"
<< endl;
}
void drawBoxes(Mat &frame,
vector<DPMDetector::ObjectDetection> ds,
Scalar color,
string text);
int main( int argc, char** argv )
{
const char* keys =
{
"{@model_path | | Path of the DPM cascade model}"
};
CommandLineParser parser(argc, argv, keys);
string model_path(parser.get<string>(0));
if( model_path.empty() )
{
help();
return -1;
}
cv::Ptr<DPMDetector> detector = \
DPMDetector::create(vector<string>(1, model_path));
// use web camera
VideoCapture capture(0);
capture.set(CV_CAP_PROP_FRAME_WIDTH, 320);
capture.set(CV_CAP_PROP_FRAME_HEIGHT, 240);
if ( !capture.isOpened() )
{
cerr << "Fail to open default camera (0)!" << endl;
return -1;
}
Mat frame;
namedWindow("DPM Cascade Detection", 1);
// the color of the rectangle
Scalar color(0, 255, 255); // yellow
while( capture.read(frame) )
{
vector<DPMDetector::ObjectDetection> ds;
Mat image;
frame.copyTo(image);
double t = (double) getTickCount();
// detection
detector->detect(image, ds);
// compute frame per second (fps)
t = ((double) getTickCount() - t)/getTickFrequency();//elapsed time
// draw boxes
string text = format("%0.1f fps", 1.0/t);
drawBoxes(frame, ds, color, text);
imshow("DPM Cascade Detection", frame);
if ( waitKey(30) >= 0)
break;
}
return 0;
}
void drawBoxes(Mat &frame,
vector<DPMDetector::ObjectDetection> ds,
Scalar color,
string text)
{
for (unsigned int i = 0; i < ds.size(); i++)
{
rectangle(frame, ds[i].rect, color, 2);
}
// draw text on image
Scalar textColor(0,0,250);
putText(frame, text, Point(10,50), FONT_HERSHEY_PLAIN, 2, textColor, 2);
}