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

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This commit is contained in:
Kirill Kornyakov 2010-12-09 15:08:32 +00:00
parent 0cc559b33c
commit 33c44fcd7a
2 changed files with 178 additions and 17 deletions
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32
samples/c/facedetect.cpp
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@ -10,28 +10,25 @@ 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;
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"
"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";
String cascadeName = "../../data/haarcascades/haarcascade_frontalface_alt.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;
@ -102,7 +100,7 @@ int main( int argc, const char** argv )
capture = cvCaptureFromAVI( inputName.c_str() );
if(!capture) cout << "Capture from AVI didn't work" << endl;
}
}
}
else
{
image = imread( "lena.jpg", 1 );

163
samples/cpp/multicascadeclassifier.cpp Normal file
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@ -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 );
}