facedetect code cleaned. added new multicascadeclassifier sample, duplicating facedetect right now.

samples/c/facedetect.cpp

@@ -10,8 +10,8 @@ using namespace cv;
 
 void help()
 {
-    cout << "\nThis program demonstrates the haar cascade recognizer\n"
+    cout << "\nThis program demonstrates the cascade recognizer. Now you can use Haar or LBP features.\n"
-    		"this classifier can recognize many ~rigid objects, it's most known use is for faces.\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"
@@ -20,18 +20,15 @@ void help()
             "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"
+            "Using OpenCV version %s\n" << CV_VERSION << "\n" << endl;
-    		<< endl;
 }
 
 void detectAndDraw( Mat& img,
                    CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
                    double scale);
 
-String cascadeName =
+String cascadeName = "../../data/haarcascades/haarcascade_frontalface_alt.xml";
-"../../data/haarcascades/haarcascade_frontalface_alt.xml";
+String nestedCascadeName = "../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
-String nestedCascadeName =
-"../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
 
 int main( int argc, const char** argv )
 {
@@ -46,6 +43,7 @@ int main( int argc, const char** argv )
     String inputName;
 
     help();
+
     CascadeClassifier cascade, nestedCascade;
     double scale = 1;
 

samples/cpp/multicascadeclassifier.cpp

@@ -0,0 +1,163 @@
+// 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;
+
+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 = cvRound(r->width + r->height)*0.25;
+        circle( img, center, radius, color, 3, 8, 0 );
+    }
+
+    cv::imshow( "result", img );
+}