opencv/modules/ocl/perf/perf_haar.cpp
2014-03-20 22:22:55 +04:00

151 lines
5.8 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// License Agreement
// For Open Source Computer Vision Library
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
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#include "perf_precomp.hpp"
using namespace perf;
using namespace std;
using namespace cv;
using std::tr1::make_tuple;
using std::tr1::get;
///////////// Haar ////////////////////////
PERF_TEST(HaarFixture, Haar)
{
vector<Rect> faces;
Mat img = imread(getDataPath("gpu/haarcascade/basketball1.png"), CV_LOAD_IMAGE_GRAYSCALE);
ASSERT_TRUE(!img.empty()) << "can't open basketball1.png";
declare.in(img);
if (RUN_PLAIN_IMPL)
{
CascadeClassifier faceCascade;
ASSERT_TRUE(faceCascade.load(getDataPath("gpu/haarcascade/haarcascade_frontalface_alt.xml")))
<< "can't load haarcascade_frontalface_alt.xml";
TEST_CYCLE() faceCascade.detectMultiScale(img, faces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
SANITY_CHECK(faces, 4 + 1e-4);
}
else if (RUN_OCL_IMPL)
{
ocl::OclCascadeClassifier faceCascade;
ocl::oclMat oclImg(img);
ASSERT_TRUE(faceCascade.load(getDataPath("gpu/haarcascade/haarcascade_frontalface_alt.xml")))
<< "can't load haarcascade_frontalface_alt.xml";
OCL_TEST_CYCLE() faceCascade.detectMultiScale(oclImg, faces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
SANITY_CHECK(faces, 4 + 1e-4);
}
else
OCL_PERF_ELSE
}
typedef std::tr1::tuple<std::string, std::string, int> Cascade_Image_MinSize_t;
typedef perf::TestBaseWithParam<Cascade_Image_MinSize_t> Cascade_Image_MinSize;
OCL_PERF_TEST_P(Cascade_Image_MinSize, CascadeClassifier,
testing::Combine(testing::Values( string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt.xml"),
string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt2.xml") ),
testing::Values( string("cv/shared/lena.png"),
string("cv/cascadeandhog/images/bttf301.png"),
string("cv/cascadeandhog/images/class57.png") ),
testing::Values(30, 64, 90)))
{
const string cascasePath = get<0>(GetParam());
const string imagePath = get<1>(GetParam());
const int min_size = get<2>(GetParam());
Size minSize(min_size, min_size);
vector<Rect> faces;
Mat img = imread(getDataPath(imagePath), IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty()) << "Can't load source image: " << getDataPath(imagePath);
equalizeHist(img, img);
declare.in(img);
if (RUN_PLAIN_IMPL)
{
CascadeClassifier cc;
ASSERT_TRUE(cc.load(getDataPath(cascasePath))) << "Can't load cascade file: " << getDataPath(cascasePath);
while (next())
{
faces.clear();
startTimer();
cc.detectMultiScale(img, faces, 1.1, 3, CV_HAAR_SCALE_IMAGE, minSize);
stopTimer();
}
}
else if (RUN_OCL_IMPL)
{
ocl::oclMat uimg(img);
ocl::OclCascadeClassifier cc;
ASSERT_TRUE(cc.load(getDataPath(cascasePath))) << "Can't load cascade file: " << getDataPath(cascasePath);
while (next())
{
faces.clear();
ocl::finish();
startTimer();
cc.detectMultiScale(uimg, faces, 1.1, 3, CV_HAAR_SCALE_IMAGE, minSize);
stopTimer();
}
}
else
OCL_PERF_ELSE
//sort(faces.begin(), faces.end(), comparators::RectLess());
SANITY_CHECK_NOTHING();//(faces, min_size/5);
// using SANITY_CHECK_NOTHING() since OCL and PLAIN version may find different faces number
}