opencv/modules/ocl/perf/perf_haar.cpp

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// @Authors
//    Jia Haipeng, jiahaipeng95@gmail.com
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#include "opencv2/objdetect/objdetect.hpp"
#include "precomp.hpp"

#ifdef HAVE_OPENCL

using namespace cvtest;
using namespace testing;
using namespace std;
using namespace cv;

struct getRect { Rect operator ()(const CvAvgComp& e) const { return e.rect; } };

PARAM_TEST_CASE(HaarTestBase, int, int)
{
	//std::vector<cv::ocl::Info> oclinfo;
	cv::ocl::OclCascadeClassifier cascade, nestedCascade;
	cv::CascadeClassifier cpucascade, cpunestedCascade;
	//    Mat img;

	double scale;
	int index;

	virtual void SetUp()
	{
		scale = 1.0;
		index=0;
		string cascadeName="../../../data/haarcascades/haarcascade_frontalface_alt.xml";

		if( (!cascade.load( cascadeName )) || (!cpucascade.load(cascadeName)))
		{
			cout << "ERROR: Could not load classifier cascade" << endl;
			cout << "Usage: facedetect [--cascade=<cascade_path>]\n"
				"   [--scale[=<image scale>\n"
				"   [filename|camera_index]\n" << endl ;
			return;
		}
		//int devnums = getDevice(oclinfo);
		//CV_Assert(devnums>0);
		////if you want to use undefault device, set it here
		////setDevice(oclinfo[0]);
		//cv::ocl::setBinpath("E:\\");
	}
};

////////////////////////////////faceDetect/////////////////////////////////////////////////

struct Haar : HaarTestBase {};

TEST_F(Haar, FaceDetect) 
{    
	string imgName = "../../../samples/c/lena.jpg";
	Mat img = imread( imgName, 1 );

	if(img.empty())
	{ 
		std::cout << "Couldn't read test" << index <<".jpg" << std::endl;
		return ;
	}

	int i = 0;
	double t = 0;
	vector<Rect> faces, oclfaces;

	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 );
	MemStorage storage(cvCreateMemStorage(0));
	cvtColor( img, gray, CV_BGR2GRAY );
	resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
	equalizeHist( smallImg, smallImg );

	t = (double)cvGetTickCount();
	for(int k= 0; k<LOOP_TIMES; k++)
	{
		cpucascade.detectMultiScale( smallImg, faces,  1.1,
			3, 0
			|CV_HAAR_SCALE_IMAGE
			, Size(30,30), Size(0, 0) );
	}
	t = (double)cvGetTickCount() - t ;
	printf( "cpudetection time = %g ms\n", t/(LOOP_TIMES*(double)cvGetTickFrequency()*1000.) );

	cv::ocl::oclMat image;
	CvSeq* _objects;
	t = (double)cvGetTickCount();
	for(int k= 0; k<LOOP_TIMES; k++)
	{
		image.upload(smallImg);
		_objects = cascade.oclHaarDetectObjects( image, storage, 1.1,
			3, 0
			|CV_HAAR_SCALE_IMAGE
			, Size(30,30), Size(0, 0) );
	}
	t = (double)cvGetTickCount() - t ;
	printf( "ocldetection time = %g ms\n", t/(LOOP_TIMES*(double)cvGetTickFrequency()*1000.) );
	vector<CvAvgComp> vecAvgComp;
	Seq<CvAvgComp>(_objects).copyTo(vecAvgComp);
	oclfaces.resize(vecAvgComp.size());
	std::transform(vecAvgComp.begin(), vecAvgComp.end(), oclfaces.begin(), getRect());

	//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 );
	//}  
	//namedWindow("result");
	//imshow("result",img);
	//waitKey(0);
	//destroyAllWindows();

}
#endif // HAVE_OPENCL