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Added performance test for OCL version of HoughLines and HoughLinesP

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Alexander Karsakov 2014-09-29 13:03:07 +04:00
parent e6f653af44
commit 4880dd0cd6
1 changed files with 91 additions and 0 deletions
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modules/imgproc/perf/opencl/perf_houghLines.cpp Normal file
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// Copyright (C) 2014, Itseez, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////// HoughLines //////////////////////
struct Vec2fComparator
{
bool operator()(const Vec2f& a, const Vec2f b) const
{
if(a[0] != b[0]) return a[0] < b[0];
else return a[1] < b[1];
}
};
typedef std::tr1::tuple<Size, double, double> ImageSize_RhoStep_ThetaStep_t;
typedef TestBaseWithParam<ImageSize_RhoStep_ThetaStep_t> HoughLinesFixture;
OCL_PERF_TEST_P(HoughLinesFixture, HoughLines, Combine(OCL_TEST_SIZES,
Values( 0.1, 1 ),
Values( CV_PI / 180.0, 0.1 )))
{
const Size srcSize = get<0>(GetParam());
double rhoStep = get<1>(GetParam());
double thetaStep = get<2>(GetParam());
int threshold = 250;
UMat usrc(srcSize, CV_8UC1), lines(1, 1, CV_32FC2);
Mat src(srcSize, CV_8UC1);
src.setTo(Scalar::all(0));
line(src, Point(0, 100), Point(src.cols, 100), Scalar::all(255), 1);
line(src, Point(0, 200), Point(src.cols, 200), Scalar::all(255), 1);
line(src, Point(0, 400), Point(src.cols, 400), Scalar::all(255), 1);
line(src, Point(100, 0), Point(100, src.rows), Scalar::all(255), 1);
line(src, Point(200, 0), Point(200, src.rows), Scalar::all(255), 1);
line(src, Point(400, 0), Point(400, src.rows), Scalar::all(255), 1);
src.copyTo(usrc);
declare.in(usrc).out(lines);
OCL_TEST_CYCLE() cv::HoughLines(usrc, lines, rhoStep, thetaStep, threshold);
Mat result;
lines.copyTo(result);
std::sort(result.begin<Vec2f>(), result.end<Vec2f>(), Vec2fComparator());
SANITY_CHECK(result, 1e-6);
}
///////////// HoughLinesP /////////////////////
typedef std::tr1::tuple<string, double, double> Image_RhoStep_ThetaStep_t;
typedef TestBaseWithParam<Image_RhoStep_ThetaStep_t> HoughLinesPFixture;
OCL_PERF_TEST_P(HoughLinesPFixture, HoughLinesP, Combine(Values("cv/shared/pic5.png", "stitching/a1.png"),
Values( 0.1, 1 ),
Values( CV_PI / 180.0, 0.1 )))
{
string filename = get<0>(GetParam());
double rhoStep = get<1>(GetParam());
double thetaStep = get<2>(GetParam());
int threshold = 100;
double minLineLength = 50, maxGap = 5;
Mat image = imread(getDataPath(filename), IMREAD_GRAYSCALE);
Canny(image, image, 50, 200, 3);
UMat usrc, lines(1, 1, CV_32SC4);
image.copyTo(usrc);
declare.in(usrc).out(lines);
OCL_TEST_CYCLE() cv::HoughLinesP(usrc, lines, rhoStep, thetaStep, threshold, minLineLength, maxGap);
EXPECT_NE((int) lines.total(), 0);
SANITY_CHECK_NOTHING();
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL