removed duplicated sample (for facedetect)

diff --git a/samples/cpp/multicascadeclassifier.cpp b/samples/cpp/multicascadeclassifier.cpp
deleted file mode 100644 (file)
index c5a6830..0000000
--- a/samples/cpp/multicascadeclassifier.cpp
+++ /dev/null
@@ -1,163 +0,0 @@
-// WARNING: this sample is under construction! Use it on your own risk.
-
-#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;
-
-static void help()
-{
-    cout << "\nThis program demonstrates the multi cascade recognizer. It is a generalization of facedetect sample.\n\n"
-            "Usage: ./multicascadeclassifier \n"
-               "   --cascade1=<cascade_path> this is the primary trained classifier such as frontal face\n"
-               "   [--cascade2=[this an optional secondary classifier such as profile face or eyes]]\n"
-               "   input video or image\n\n"
-            "Example: ./multicascadeclassifier --cascade1=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --cascade2=\"../../data/haarcascades/haarcascade_eye.xml\"\n\n"
-            "Using OpenCV version " << CV_VERSION << endl << endl;
-}
-
-void DetectAndDraw(Mat& img, CascadeClassifier& cascade);
-
-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, image;
-
-    if (argc == 0)
-    {
-        help();
-        return 0;
-    }
-
-    const String cascadeOpt = "--cascade1=";
-    size_t cascadeOptLen = cascadeOpt.length();
-    string inputName;
-    for( int i = 1; i < argc; i++ )
-    {
-        cout << "Processing argument #" << 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( argv[i][0] == '-' )
-        {
-            cerr << "WARNING: Unknown option " << argv[i] << endl;
-        }
-        else
-            inputName.assign( argv[i] );
-    }
-
-    CascadeClassifier cascade;
-    if( !cascade.load( cascadeName ) )
-    {
-        cerr << "ERROR: Could not load cascade classifier \"" << cascadeName << "\"" << endl;
-        help();
-
-        return -1;
-    }
-
-    if( inputName.size() )
-    {
-        image = imread( inputName, 1 );
-        if( image.empty() )
-        {
-            capture = cvCaptureFromAVI( inputName.c_str() );
-            if( !capture )
-                cout << "Capture from AVI don't work" << endl;
-        }
-    }
-    else
-    {
-        cout << "Please provide input file." << endl;
-        return -1;
-    }
-
-    cvNamedWindow( "result", 1 );
-
-    if( capture )
-    {
-        for(;;)
-        {
-            IplImage* iplImg = cvQueryFrame( capture );
-            frame = iplImg;
-            if( frame.empty() )
-                break;
-
-            DetectAndDraw( frame, cascade );
-
-            if( waitKey( 10 ) >= 0 )
-                goto _cleanup_;
-        }
-
-        waitKey(0);
-_cleanup_:
-        cvReleaseCapture( &capture );
-    }
-    else if( !image.empty() )
-    {
-        DetectAndDraw( image, cascade );
-        waitKey(0);
-    }
-    else
-    {
-        cout << "Please provide correct input file." << endl;
-    }
-
-    cvDestroyWindow("result");
-
-    return 0;
-}
-
-void DetectAndDraw( Mat& img, CascadeClassifier& cascade)
-{
-    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;
-    Mat frame( cvRound(img.rows), cvRound(img.cols), CV_8UC1 );
-
-    cvtColor( img, gray, CV_BGR2GRAY );
-    resize( gray, frame, frame.size(), 0, 0, INTER_LINEAR );
-    equalizeHist( frame, frame );
-
-    t = (double)cvGetTickCount();
-    cascade.detectMultiScale( frame, 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++ )
-    {
-        Point center;
-        Scalar color = colors[i%8];
-        int radius;
-        center.x = cvRound(r->x + r->width*0.5);
-        center.y = cvRound(r->y + r->height*0.5);
-        radius = (int)(cvRound(r->width + r->height)*0.25);
-        circle( img, center, radius, color, 3, 8, 0 );
-    }
-
-    cv::imshow( "result", img );
-}