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Open Source Computer Vision Library
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129 lines
4.1 KiB
129 lines
4.1 KiB
// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html |
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#include <opencv2/objdetect.hpp> |
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#include <opencv2/highgui.hpp> |
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#include <opencv2/imgproc.hpp> |
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#include <opencv2/videoio.hpp> |
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#include <iostream> |
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#include <iomanip> |
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using namespace cv; |
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using namespace std; |
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class Detector |
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{ |
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enum Mode { Default, Daimler } m; |
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HOGDescriptor hog, hog_d; |
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public: |
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Detector() : m(Default), hog(), hog_d(Size(48, 96), Size(16, 16), Size(8, 8), Size(8, 8), 9) |
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{ |
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hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector()); |
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hog_d.setSVMDetector(HOGDescriptor::getDaimlerPeopleDetector()); |
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} |
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void toggleMode() { m = (m == Default ? Daimler : Default); } |
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string modeName() const { return (m == Default ? "Default" : "Daimler"); } |
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vector<Rect> detect(InputArray img) |
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{ |
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// Run the detector with default parameters. to get a higher hit-rate |
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// (and more false alarms, respectively), decrease the hitThreshold and |
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// groupThreshold (set groupThreshold to 0 to turn off the grouping completely). |
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vector<Rect> found; |
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if (m == Default) |
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hog.detectMultiScale(img, found, 0, Size(8,8), Size(), 1.05, 2, false); |
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else if (m == Daimler) |
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hog_d.detectMultiScale(img, found, 0, Size(8,8), Size(), 1.05, 2, true); |
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return found; |
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} |
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void adjustRect(Rect & r) const |
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{ |
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// The HOG detector returns slightly larger rectangles than the real objects, |
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// so we slightly shrink the rectangles to get a nicer output. |
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r.x += cvRound(r.width*0.1); |
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r.width = cvRound(r.width*0.8); |
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r.y += cvRound(r.height*0.07); |
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r.height = cvRound(r.height*0.8); |
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} |
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}; |
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static const string keys = "{ help h | | print help message }" |
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"{ camera c | 0 | capture video from camera (device index starting from 0) }" |
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"{ video v | | use video as input }"; |
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int main(int argc, char** argv) |
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{ |
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CommandLineParser parser(argc, argv, keys); |
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parser.about("This sample demonstrates the use of the HoG descriptor."); |
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if (parser.has("help")) |
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{ |
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parser.printMessage(); |
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return 0; |
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} |
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int camera = parser.get<int>("camera"); |
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string file = parser.get<string>("video"); |
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if (!parser.check()) |
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{ |
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parser.printErrors(); |
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return 1; |
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} |
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VideoCapture cap; |
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if (file.empty()) |
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cap.open(camera); |
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else |
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{ |
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file = samples::findFileOrKeep(file); |
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cap.open(file); |
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} |
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if (!cap.isOpened()) |
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{ |
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cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl; |
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return 2; |
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} |
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cout << "Press 'q' or <ESC> to quit." << endl; |
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cout << "Press <space> to toggle between Default and Daimler detector" << endl; |
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Detector detector; |
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Mat frame; |
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for (;;) |
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{ |
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cap >> frame; |
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if (frame.empty()) |
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{ |
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cout << "Finished reading: empty frame" << endl; |
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break; |
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} |
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int64 t = getTickCount(); |
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vector<Rect> found = detector.detect(frame); |
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t = getTickCount() - t; |
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// show the window |
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{ |
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ostringstream buf; |
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buf << "Mode: " << detector.modeName() << " ||| " |
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<< "FPS: " << fixed << setprecision(1) << (getTickFrequency() / (double)t); |
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putText(frame, buf.str(), Point(10, 30), FONT_HERSHEY_PLAIN, 2.0, Scalar(0, 0, 255), 2, LINE_AA); |
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} |
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for (vector<Rect>::iterator i = found.begin(); i != found.end(); ++i) |
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{ |
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Rect &r = *i; |
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detector.adjustRect(r); |
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rectangle(frame, r.tl(), r.br(), cv::Scalar(0, 255, 0), 2); |
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} |
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imshow("People detector", frame); |
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// interact with user |
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const char key = (char)waitKey(1); |
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if (key == 27 || key == 'q') // ESC |
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{ |
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cout << "Exit requested" << endl; |
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break; |
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} |
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else if (key == ' ') |
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{ |
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detector.toggleMode(); |
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} |
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} |
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return 0; |
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}
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