mirror of
https://github.com/opencv/opencv.git
synced 2024-12-11 22:59:16 +08:00
230 lines
7.5 KiB
C++
230 lines
7.5 KiB
C++
//This sample is inherited from facedetect.cpp in smaple/c
|
|
|
|
#include "opencv2/objdetect/objdetect.hpp"
|
|
#include "opencv2/highgui/highgui.hpp"
|
|
#include "opencv2/imgproc/imgproc.hpp"
|
|
#include "opencv2/ocl/ocl.hpp"
|
|
#include <iostream>
|
|
#include <stdio.h>
|
|
|
|
using namespace std;
|
|
using namespace cv;
|
|
|
|
static void help()
|
|
{
|
|
cout << "\nThis program demonstrates the 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"
|
|
" [--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\" --scale=1.3 \n"
|
|
"Hit any key to quit.\n"
|
|
"Using OpenCV version " << CV_VERSION << "\n" << endl;
|
|
}
|
|
struct getRect { Rect operator ()(const CvAvgComp& e) const { return e.rect; } };
|
|
void detectAndDraw( Mat& img,
|
|
cv::ocl::OclCascadeClassifier& cascade, CascadeClassifier& nestedCascade,
|
|
double scale);
|
|
|
|
string cascadeName = "../../../data/haarcascades/haarcascade_frontalface_alt.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();
|
|
string inputName;
|
|
|
|
help();
|
|
cv::ocl::OclCascadeClassifier cascade;
|
|
CascadeClassifier 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( 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"
|
|
" [--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 );
|
|
std::vector<cv::ocl::Info> oclinfo;
|
|
int devnums = cv::ocl::getDevice(oclinfo);
|
|
if(devnums<1)
|
|
{
|
|
std::cout << "no device found\n";
|
|
return -1;
|
|
}
|
|
//if you want to use undefault device, set it here
|
|
//setDevice(oclinfo[0]);
|
|
//setBinpath(CLBINPATH);
|
|
if( capture )
|
|
{
|
|
cout << "In capture ..." << endl;
|
|
for(;;)
|
|
{
|
|
IplImage* iplImg = cvQueryFrame( capture );
|
|
frame = cv::cvarrToMat(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,
|
|
cv::ocl::OclCascadeClassifier& cascade, CascadeClassifier&,
|
|
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)} ;
|
|
cv::ocl::oclMat image(img);
|
|
cv::ocl::oclMat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );
|
|
|
|
cv::ocl::cvtColor( image, gray, CV_BGR2GRAY );
|
|
cv::ocl::resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
|
|
cv::ocl::equalizeHist( smallImg, smallImg );
|
|
|
|
CvSeq* _objects;
|
|
MemStorage storage(cvCreateMemStorage(0));
|
|
t = (double)cvGetTickCount();
|
|
_objects = cascade.oclHaarDetectObjects( smallImg, storage, 1.1,
|
|
3, 0
|
|
|CV_HAAR_SCALE_IMAGE
|
|
, Size(30,30), Size(0, 0) );
|
|
vector<CvAvgComp> vecAvgComp;
|
|
Seq<CvAvgComp>(_objects).copyTo(vecAvgComp);
|
|
faces.resize(vecAvgComp.size());
|
|
std::transform(vecAvgComp.begin(), vecAvgComp.end(), faces.begin(), getRect());
|
|
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;
|
|
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 );
|
|
}
|
|
cv::imshow( "result", img );
|
|
}
|