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154 lines
4.6 KiB
154 lines
4.6 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2015, Itseez Inc, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Itseez Inc or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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// Author: Jiaolong Xu <jiaolongxu AT gmail.com> |
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//M*/ |
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#include <opencv2/dpm.hpp> |
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#include <opencv2/core.hpp> |
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#include <opencv2/imgproc.hpp> |
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#include <opencv2/highgui.hpp> |
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#include <opencv2/videoio.hpp> |
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#include <opencv2/videoio/videoio_c.h> |
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#include <stdio.h> |
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#include <iostream> |
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using namespace cv; |
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using namespace cv::dpm; |
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using namespace std; |
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static void help() |
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{ |
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cout << "\nThis is a demo of \"Deformable Part-based Model (DPM) cascade detection API\" using web camera.\n" |
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"Call:\n" |
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"./example_dpm_cascade_detect_camera <model_path>\n" |
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<< endl; |
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} |
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void drawBoxes(Mat &frame, |
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vector<DPMDetector::ObjectDetection> ds, |
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Scalar color, |
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string text); |
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int main( int argc, char** argv ) |
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{ |
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const char* keys = |
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{ |
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"{@model_path | | Path of the DPM cascade model}" |
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}; |
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CommandLineParser parser(argc, argv, keys); |
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string model_path(parser.get<string>(0)); |
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if( model_path.empty() ) |
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{ |
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help(); |
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return -1; |
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} |
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cv::Ptr<DPMDetector> detector = \ |
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DPMDetector::create(vector<string>(1, model_path)); |
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// use web camera |
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VideoCapture capture(0); |
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capture.set(CV_CAP_PROP_FRAME_WIDTH, 320); |
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capture.set(CV_CAP_PROP_FRAME_HEIGHT, 240); |
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if ( !capture.isOpened() ) |
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{ |
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cerr << "Fail to open default camera (0)!" << endl; |
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return -1; |
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} |
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#ifdef HAVE_TBB |
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cout << "Running with TBB" << endl; |
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#else |
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#ifdef _OPENMP |
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cout << "Running with OpenMP" << endl; |
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#else |
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cout << "Running without OpenMP and without TBB" << endl; |
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#endif |
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#endif |
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Mat frame; |
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namedWindow("DPM Cascade Detection", 1); |
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// the color of the rectangle |
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Scalar color(0, 255, 255); // yellow |
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while( capture.read(frame) ) |
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{ |
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vector<DPMDetector::ObjectDetection> ds; |
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Mat image; |
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frame.copyTo(image); |
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double t = (double) getTickCount(); |
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// detection |
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detector->detect(image, ds); |
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// compute frame per second (fps) |
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t = ((double) getTickCount() - t)/getTickFrequency();//elapsed time |
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// draw boxes |
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string text = format("%0.1f fps", 1.0/t); |
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drawBoxes(frame, ds, color, text); |
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imshow("DPM Cascade Detection", frame); |
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if ( waitKey(30) >= 0) |
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break; |
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} |
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return 0; |
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} |
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void drawBoxes(Mat &frame, |
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vector<DPMDetector::ObjectDetection> ds, |
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Scalar color, |
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string text) |
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{ |
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for (unsigned int i = 0; i < ds.size(); i++) |
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{ |
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rectangle(frame, ds[i].rect, color, 2); |
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} |
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// draw text on image |
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Scalar textColor(0,0,250); |
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putText(frame, text, Point(10,50), FONT_HERSHEY_PLAIN, 2, textColor, 2); |
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}
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