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- #include <opencv2/objdetect/objdetect.hpp>
- #include <opencv2/highgui/highgui.hpp>
- #include <opencv2/imgproc/imgproc.hpp>
- #include <iostream>
- #include <stdio.h>
- using namespace std;
- using namespace cv;
- void help()
- {
- cout << "\nThis program demonstrates the haar cascade recognizer\n"
- "this classifier can recognize many ~rigid objects, it's most known use is for faces.\n"
- "Usage:\n"
- "./facedetect [--cascade=<cascade_path> this is the primary trained classifier such as frontal face]\n"
- " [--nested-cascade[=nested_cascade_path this an optional secondary classifier such as eyes]]\n"
- " [--scale=<image scale greater or equal to 1, try 1.3 for example>\n"
- " [filename|camera_index]\n\n"
- "see facedetect.cmd for one call:\n"
- "./facedetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"../../data/haarcascades/haarcascade_eye.xml\" --scale=1.3 \n"
- "Hit any key to quit.\n"
- "Using OpenCV version %s\n" << CV_VERSION << "\n"
- << endl;
- }
- void detectAndDraw( Mat& img,
- CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
- double scale);
- String cascadeName =
- "../../data/haarcascades/haarcascade_frontalface_alt.xml";
- String nestedCascadeName =
- "../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
- int main( int argc, const char** argv )
- {
- CvCapture* capture = 0;
- Mat frame, frameCopy, image;
- const String scaleOpt = "--scale=";
- size_t scaleOptLen = scaleOpt.length();
- const String cascadeOpt = "--cascade=";
- size_t cascadeOptLen = cascadeOpt.length();
- const String nestedCascadeOpt = "--nested-cascade";
- size_t nestedCascadeOptLen = nestedCascadeOpt.length();
- String inputName;
- help();
- CascadeClassifier cascade, nestedCascade;
- double scale = 1;
- for( int i = 1; i < argc; i++ )
- {
- cout << "Processing " << i << " " << argv[i] << endl;
- if( cascadeOpt.compare( 0, cascadeOptLen, argv[i], cascadeOptLen ) == 0 )
- {
- cascadeName.assign( argv[i] + cascadeOptLen );
- cout << " from which we have cascadeName= " << cascadeName << endl;
- }
- else if( nestedCascadeOpt.compare( 0, nestedCascadeOptLen, argv[i], nestedCascadeOptLen ) == 0 )
- {
- if( argv[i][nestedCascadeOpt.length()] == '=' )
- nestedCascadeName.assign( argv[i] + nestedCascadeOpt.length() + 1 );
- if( !nestedCascade.load( nestedCascadeName ) )
- cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
- }
- else if( scaleOpt.compare( 0, scaleOptLen, argv[i], scaleOptLen ) == 0 )
- {
- if( !sscanf( argv[i] + scaleOpt.length(), "%lf", &scale ) || scale < 1 )
- scale = 1;
- cout << " from which we read scale = " << scale << endl;
- }
- else if( argv[i][0] == '-' )
- {
- cerr << "WARNING: Unknown option %s" << argv[i] << endl;
- }
- else
- inputName.assign( argv[i] );
- }
- if( !cascade.load( cascadeName ) )
- {
- cerr << "ERROR: Could not load classifier cascade" << endl;
- cerr << "Usage: facedetect [--cascade=<cascade_path>]\n"
- " [--nested-cascade[=nested_cascade_path]]\n"
- " [--scale[=<image scale>\n"
- " [filename|camera_index]\n" << endl ;
- return -1;
- }
- if( inputName.empty() || (isdigit(inputName.c_str()[0]) && inputName.c_str()[1] == '\0') )
- {
- capture = cvCaptureFromCAM( inputName.empty() ? 0 : inputName.c_str()[0] - '0' );
- int c = inputName.empty() ? 0 : inputName.c_str()[0] - '0' ;
- if(!capture) cout << "Capture from CAM " << c << " didn't work" << endl;
- }
- else if( inputName.size() )
- {
- image = imread( inputName, 1 );
- if( image.empty() )
- {
- capture = cvCaptureFromAVI( inputName.c_str() );
- if(!capture) cout << "Capture from AVI didn't work" << endl;
- }
- }
- else
- {
- image = imread( "lena.jpg", 1 );
- if(image.empty()) cout << "Couldn't read lena.jpg" << endl;
- }
- cvNamedWindow( "result", 1 );
- if( capture )
- {
- cout << "In capture ..." << endl;
- for(;;)
- {
- IplImage* iplImg = cvQueryFrame( capture );
- frame = iplImg;
- if( frame.empty() )
- break;
- if( iplImg->origin == IPL_ORIGIN_TL )
- frame.copyTo( frameCopy );
- else
- flip( frame, frameCopy, 0 );
- detectAndDraw( frameCopy, cascade, nestedCascade, scale );
- if( waitKey( 10 ) >= 0 )
- goto _cleanup_;
- }
- waitKey(0);
- _cleanup_:
- cvReleaseCapture( &capture );
- }
- else
- {
- cout << "In image read" << endl;
- if( !image.empty() )
- {
- detectAndDraw( image, cascade, nestedCascade, scale );
- waitKey(0);
- }
- else if( !inputName.empty() )
- {
- /* assume it is a text file containing the
- list of the image filenames to be processed - one per line */
- FILE* f = fopen( inputName.c_str(), "rt" );
- if( f )
- {
- char buf[1000+1];
- while( fgets( buf, 1000, f ) )
- {
- int len = (int)strlen(buf), c;
- while( len > 0 && isspace(buf[len-1]) )
- len--;
- buf[len] = '\0';
- cout << "file " << buf << endl;
- image = imread( buf, 1 );
- if( !image.empty() )
- {
- detectAndDraw( image, cascade, nestedCascade, scale );
- c = waitKey(0);
- if( c == 27 || c == 'q' || c == 'Q' )
- break;
- }
- else
- {
- cerr << "Aw snap, couldn't read image " << buf << endl;
- }
- }
- fclose(f);
- }
- }
- }
- cvDestroyWindow("result");
- return 0;
- }
- void detectAndDraw( Mat& img,
- CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
- double scale)
- {
- int i = 0;
- double t = 0;
- vector<Rect> faces;
- const static Scalar colors[] = { CV_RGB(0,0,255),
- CV_RGB(0,128,255),
- CV_RGB(0,255,255),
- CV_RGB(0,255,0),
- CV_RGB(255,128,0),
- CV_RGB(255,255,0),
- CV_RGB(255,0,0),
- CV_RGB(255,0,255)} ;
- Mat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );
- cvtColor( img, gray, CV_BGR2GRAY );
- resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
- equalizeHist( smallImg, smallImg );
- t = (double)cvGetTickCount();
- cascade.detectMultiScale( smallImg, faces,
- 1.1, 2, 0
- //|CV_HAAR_FIND_BIGGEST_OBJECT
- //|CV_HAAR_DO_ROUGH_SEARCH
- |CV_HAAR_SCALE_IMAGE
- ,
- Size(30, 30) );
- t = (double)cvGetTickCount() - t;
- printf( "detection time = %g ms\n", t/((double)cvGetTickFrequency()*1000.) );
- for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
- {
- Mat smallImgROI;
- vector<Rect> nestedObjects;
- Point center;
- Scalar color = colors[i%8];
- int radius;
- center.x = cvRound((r->x + r->width*0.5)*scale);
- center.y = cvRound((r->y + r->height*0.5)*scale);
- radius = cvRound((r->width + r->height)*0.25*scale);
- circle( img, center, radius, color, 3, 8, 0 );
- if( nestedCascade.empty() )
- continue;
- smallImgROI = smallImg(*r);
- nestedCascade.detectMultiScale( smallImgROI, nestedObjects,
- 1.1, 2, 0
- //|CV_HAAR_FIND_BIGGEST_OBJECT
- //|CV_HAAR_DO_ROUGH_SEARCH
- //|CV_HAAR_DO_CANNY_PRUNING
- |CV_HAAR_SCALE_IMAGE
- ,
- Size(30, 30) );
- for( vector<Rect>::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++ )
- {
- center.x = cvRound((r->x + nr->x + nr->width*0.5)*scale);
- center.y = cvRound((r->y + nr->y + nr->height*0.5)*scale);
- radius = cvRound((nr->width + nr->height)*0.25*scale);
- circle( img, center, radius, color, 3, 8, 0 );
- }
- }
- cv::imshow( "result", img );
- }
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