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#include <iostream> |
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#include "opencv2/objdetect/objdetect.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/contrib/contrib.hpp" |
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#ifdef WIN32 |
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//#include <io.h>
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#else |
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#include <dirent.h> |
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#endif |
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#ifdef HAVE_CVCONFIG_H |
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#include <cvconfig.h> |
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#endif |
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#ifdef HAVE_TBB |
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#include "tbb/task_scheduler_init.h" |
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#endif |
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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 << "This program demonstrated the use of the latentSVM detector." << endl << |
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"It reads in a trained object models and then uses them to detect the object in an images" << endl << |
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endl << |
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"Call:" << endl << |
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"./latentsvm_multidetect <images_folder> <models_folder> [<threads_number>]" << endl << |
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"Example of models_folder is opencv_extra/testdata/cv/latentsvmdetector/models_VOC2007" << endl << |
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endl << |
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"Keys:" << endl << |
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"'n' - to go to the next image;" << endl << |
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"'esc' - to quit." << endl << |
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endl; |
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} |
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void detectAndDrawObjects( Mat& image, LatentSvmDetector& detector, const vector<Scalar>& colors, int numThreads ) |
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{ |
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vector<LatentSvmDetector::ObjectDetection> detections; |
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TickMeter tm; |
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tm.start(); |
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detector.detect( image, detections, 0.5f, numThreads); |
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tm.stop(); |
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cout << "Detection time = " << tm.getTimeSec() << " sec" << endl; |
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const vector<string> classNames = detector.getClassNames(); |
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CV_Assert( colors.size() == classNames.size() ); |
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for( size_t i = 0; i < detections.size(); i++ ) |
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{ |
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const LatentSvmDetector::ObjectDetection& od = detections[i]; |
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rectangle( image, od.rect, colors[od.classID], 2 ); |
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putText( image, classNames[od.classID], Point(od.rect.x+2,od.rect.y+9), FONT_HERSHEY_SIMPLEX, 0.35, colors[od.classID], 1 ); |
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} |
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} |
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void readDirectory( const string& directoryName, vector<string>& filenames, bool addDirectoryName=true ) |
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{ |
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filenames.clear(); |
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#ifdef WIN32 |
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// struct _finddata_t s_file;
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// string str = directoryName + "\\*.*";
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// intptr_t h_file = _findfirst( str.c_str(), &s_file );
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// if( h_file == -1L )
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// {
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// do
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// {
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// if( addDirectoryName )
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// filenames.push_back(directoryName + "/" + s_file.name);
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// else
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// filenames.push_back((string)s_file.name);
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// }
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// while( _findnext( h_file, &s_file ) == 0 );
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// }
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// _findclose( h_file );
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#else |
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DIR* dir = opendir( directoryName.c_str() ); |
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if( dir != NULL ) |
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{ |
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struct dirent* dent; |
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while( (dent = readdir(dir)) != NULL ) |
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{ |
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if( addDirectoryName ) |
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filenames.push_back( directoryName + "/" + string(dent->d_name) ); |
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else |
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filenames.push_back( string(dent->d_name) ); |
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} |
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} |
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#endif |
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sort( filenames.begin(), filenames.end() ); |
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} |
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void fillRngColors( vector<Scalar>& colors ) |
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{ |
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Mat m = Mat(colors).reshape(1,1); |
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randu( m, 0, 255 ); |
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} |
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int main(int argc, char* argv[]) |
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{ |
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help(); |
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string images_folder, models_folder; |
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int numThreads = -1; |
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if( argc > 2 ) |
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{ |
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images_folder = argv[1]; |
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models_folder = argv[2]; |
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if( argc > 3 ) numThreads = atoi(argv[3]); |
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} |
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vector<string> images_filenames, models_filenames; |
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readDirectory( images_folder, images_filenames ); |
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readDirectory( models_folder, models_filenames ); |
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LatentSvmDetector detector( models_filenames ); |
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if( detector.empty() ) |
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{ |
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cout << "Models cann't be loaded" << endl; |
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exit(-1); |
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} |
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vector<Scalar> colors( detector.getClassNames().size() ); |
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fillRngColors( colors ); |
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for( size_t i = 0; i < images_filenames.size(); i++ ) |
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{ |
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Mat image = imread( images_filenames[i] ); |
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if( image.empty() ) continue; |
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cout << "Process image " << images_filenames[i] << endl; |
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detectAndDrawObjects( image, detector, colors, numThreads ); |
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imshow( "result", image ); |
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while(1) |
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{ |
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int c = waitKey(); |
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if( (char)c == 'n') |
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break; |
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else if( (char)c == '\x1b' ) |
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exit(0); |
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} |
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} |
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return 0; |
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} |
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