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164 lines
4.5 KiB
C++
164 lines
4.5 KiB
C++
// WARNING: this sample is under construction! Use it on your own risk.
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#include "opencv2/objdetect/objdetect.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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using namespace std;
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using namespace cv;
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void help()
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{
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cout << "\nThis program demonstrates the multi cascade recognizer. It is a generalization of facedetect sample.\n\n"
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"Usage: ./multicascadeclassifier \n"
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" --cascade1=<cascade_path> this is the primary trained classifier such as frontal face\n"
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" [--cascade2=[this an optional secondary classifier such as profile face or eyes]]\n"
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" input video or image\n\n"
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"Example: ./multicascadeclassifier --cascade1=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --cascade2=\"../../data/haarcascades/haarcascade_eye.xml\"\n\n"
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"Using OpenCV version " << CV_VERSION << endl << endl;
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}
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void DetectAndDraw(Mat& img, CascadeClassifier& cascade);
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String cascadeName = "../../data/haarcascades/haarcascade_frontalface_alt.xml";
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String nestedCascadeName = "../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
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int main( int argc, const char** argv )
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{
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CvCapture* capture = 0;
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Mat frame, image;
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if (argc == 0)
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{
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help();
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return 0;
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}
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const String cascadeOpt = "--cascade1=";
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size_t cascadeOptLen = cascadeOpt.length();
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string inputName;
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for( int i = 1; i < argc; i++ )
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{
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cout << "Processing argument #" << i << ": " << argv[i] << endl;
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if( cascadeOpt.compare( 0, cascadeOptLen, argv[i], cascadeOptLen ) == 0 )
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{
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cascadeName.assign( argv[i] + cascadeOptLen );
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cout << " from which we have cascadeName= " << cascadeName << endl;
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}
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else if( argv[i][0] == '-' )
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{
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cerr << "WARNING: Unknown option " << argv[i] << endl;
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}
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else
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inputName.assign( argv[i] );
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}
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CascadeClassifier cascade;
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if( !cascade.load( cascadeName ) )
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{
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cerr << "ERROR: Could not load cascade classifier \"" << cascadeName << "\"" << endl;
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help();
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return -1;
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}
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if( inputName.size() )
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{
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image = imread( inputName, 1 );
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if( image.empty() )
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{
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capture = cvCaptureFromAVI( inputName.c_str() );
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if( !capture )
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cout << "Capture from AVI don't work" << endl;
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}
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}
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else
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{
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cout << "Please provide input file." << endl;
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return -1;
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}
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cvNamedWindow( "result", 1 );
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if( capture )
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{
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for(;;)
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{
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IplImage* iplImg = cvQueryFrame( capture );
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frame = iplImg;
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if( frame.empty() )
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break;
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DetectAndDraw( frame, cascade );
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if( waitKey( 10 ) >= 0 )
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goto _cleanup_;
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}
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waitKey(0);
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_cleanup_:
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cvReleaseCapture( &capture );
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}
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else if( !image.empty() )
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{
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DetectAndDraw( image, cascade );
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waitKey(0);
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}
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else
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{
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cout << "Please provide correct input file." << endl;
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}
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cvDestroyWindow("result");
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return 0;
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}
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void DetectAndDraw( Mat& img, CascadeClassifier& cascade)
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{
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int i = 0;
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double t = 0;
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vector<Rect> faces;
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const static Scalar colors[] = { CV_RGB(0,0,255),
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CV_RGB(0,128,255),
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CV_RGB(0,255,255),
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CV_RGB(0,255,0),
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CV_RGB(255,128,0),
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CV_RGB(255,255,0),
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CV_RGB(255,0,0),
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CV_RGB(255,0,255)} ;
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Mat gray;
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Mat frame( cvRound(img.rows), cvRound(img.cols), CV_8UC1 );
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cvtColor( img, gray, CV_BGR2GRAY );
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resize( gray, frame, frame.size(), 0, 0, INTER_LINEAR );
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equalizeHist( frame, frame );
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t = (double)cvGetTickCount();
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cascade.detectMultiScale( frame, faces,
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1.1, 2, 0
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//|CV_HAAR_FIND_BIGGEST_OBJECT
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//|CV_HAAR_DO_ROUGH_SEARCH
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|CV_HAAR_SCALE_IMAGE
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,
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Size(30, 30) );
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t = (double)cvGetTickCount() - t;
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printf( "detection time = %g ms\n", t/((double)cvGetTickFrequency()*1000.) );
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for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
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{
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Point center;
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Scalar color = colors[i%8];
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int radius;
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center.x = cvRound(r->x + r->width*0.5);
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center.y = cvRound(r->y + r->height*0.5);
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radius = (int)(cvRound(r->width + r->height)*0.25);
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circle( img, center, radius, color, 3, 8, 0 );
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}
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cv::imshow( "result", img );
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}
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