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nginx
OpenCV 4.11.0
Open Source Computer Vision
BEGIN_CUSTOM_MATHJAX // END_CUSTOM_MATHJAX
samples/cpp/peopledetect.cpp
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
#include <iostream>
#include <iomanip>
using namespace cv;
using namespace std;
class Detector
{
enum Mode { Default, Daimler } m;
HOGDescriptor hog, hog_d;
public:
Detector() : m(Default), hog(), hog_d(Size(48, 96), Size(16, 16), Size(8, 8), Size(8, 8), 9)
{
hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());
hog_d.setSVMDetector(HOGDescriptor::getDaimlerPeopleDetector());
}
void toggleMode() { m = (m == Default ? Daimler : Default); }
string modeName() const { return (m == Default ? "Default" : "Daimler"); }
vector<Rect> detect(InputArray img)
{
// Run the detector with default parameters. to get a higher hit-rate
// (and more false alarms, respectively), decrease the hitThreshold and
// groupThreshold (set groupThreshold to 0 to turn off the grouping completely).
vector<Rect> found;
if (m == Default)
hog.detectMultiScale(img, found, 0, Size(8,8), Size(), 1.05, 2, false);
else if (m == Daimler)
hog_d.detectMultiScale(img, found, 0, Size(8,8), Size(), 1.05, 2, true);
return found;
}
void adjustRect(Rect & r) const
{
// The HOG detector returns slightly larger rectangles than the real objects,
// so we slightly shrink the rectangles to get a nicer output.
r.x += cvRound(r.width*0.1);
r.width = cvRound(r.width*0.8);
r.y += cvRound(r.height*0.07);
r.height = cvRound(r.height*0.8);
}
};
static const string keys = "{ help h | | print help message }"
"{ camera c | 0 | capture video from camera (device index starting from 0) }"
"{ video v | | use video as input }";
int main(int argc, char** argv)
{
CommandLineParser parser(argc, argv, keys);
parser.about("This sample demonstrates the use of the HoG descriptor.");
if (parser.has("help"))
{
parser.printMessage();
return 0;
}
int camera = parser.get<int>("camera");
string file = parser.get<string>("video");
if (!parser.check())
{
parser.printErrors();
return 1;
}
VideoCapture cap;
if (file.empty())
cap.open(camera);
else
{
cap.open(file);
}
if (!cap.isOpened())
{
cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl;
return 2;
}
cout << "Press 'q' or <ESC> to quit." << endl;
cout << "Press <space> to toggle between Default and Daimler detector" << endl;
Detector detector;
Mat frame;
for (;;)
{
cap >> frame;
if (frame.empty())
{
cout << "Finished reading: empty frame" << endl;
break;
}
vector<Rect> found = detector.detect(frame);
t = getTickCount() - t;
// show the window
{
ostringstream buf;
buf << "Mode: " << detector.modeName() << " ||| "
<< "FPS: " << fixed << setprecision(1) << (getTickFrequency() / (double)t);
putText(frame, buf.str(), Point(10, 30), FONT_HERSHEY_PLAIN, 2.0, Scalar(0, 0, 255), 2, LINE_AA);
}
for (vector<Rect>::iterator i = found.begin(); i != found.end(); ++i)
{
Rect &r = *i;
detector.adjustRect(r);
rectangle(frame, r.tl(), r.br(), cv::Scalar(0, 255, 0), 2);
}
imshow("People detector", frame);
// interact with user
const char key = (char)waitKey(1);
if (key == 27 || key == 'q') // ESC
{
cout << "Exit requested" << endl;
break;
}
else if (key == ' ')
{
detector.toggleMode();
}
}
return 0;
}
Rect2i Rect
Definition: modules/core/include/opencv2/core/types.hpp:496
Point2i Point
Definition: modules/core/include/opencv2/core/types.hpp:209
Size2i Size
Definition: modules/core/include/opencv2/core/types.hpp:370
const _InputArray & InputArray
Definition: core/include/opencv2/core/mat.hpp:443
Scalar_< double > Scalar
Definition: modules/core/include/opencv2/core/types.hpp:709
int64_t int64
Definition: core/include/opencv2/core/hal/interface.h:61
cv::String findFileOrKeep(const cv::String &relative_path, bool silentMode=false)
Definition: utility.hpp:1257
int cvRound(double value)
Rounds floating-point number to the nearest integer.
Definition: fast_math.hpp:200
double getTickFrequency()
Returns the number of ticks per second.
int64 getTickCount()
Returns the number of ticks.
void imshow(const String &winname, InputArray mat)
Displays an image in the specified window.
int waitKey(int delay=0)
Waits for a pressed key.
void rectangle(InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
Draws a simple, thick, or filled up-right rectangle.
void putText(InputOutputArray img, const String &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=LINE_8, bool bottomLeftOrigin=false)
Draws a text string.
@ FONT_HERSHEY_PLAIN
small size sans-serif font
Definition: imgproc/include/opencv2/imgproc.hpp:902
@ LINE_AA
antialiased line
Definition: imgproc/include/opencv2/imgproc.hpp:894
int main(int argc, char *argv[])
Definition: highgui_qt.cpp:3
Definition: core/include/opencv2/core.hpp:107
STL namespace.