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https://github.com/opencv/opencv.git
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4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
184 lines
5.2 KiB
C++
184 lines
5.2 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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// Copyright (C) 2014, Itseez, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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#include "../test_precomp.hpp"
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#include "opencv2/ts/ocl_test.hpp"
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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namespace ocl {
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struct Vec2fComparator
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{
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bool operator()(const Vec2f& a, const Vec2f b) const
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{
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if(a[0] != b[0]) return a[0] < b[0];
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else return a[1] < b[1];
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}
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};
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/////////////////////////////// HoughLines ////////////////////////////////////
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PARAM_TEST_CASE(HoughLines, double, double, int)
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{
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double rhoStep, thetaStep;
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int threshold;
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Size src_size;
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Mat src, dst;
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UMat usrc, udst;
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virtual void SetUp()
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{
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rhoStep = GET_PARAM(0);
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thetaStep = GET_PARAM(1);
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threshold = GET_PARAM(2);
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}
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void generateTestData()
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{
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src_size = randomSize(500, 1920);
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src.create(src_size, CV_8UC1);
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src.setTo(Scalar::all(0));
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line(src, Point(0, 100), Point(100, 100), Scalar::all(255), 1);
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line(src, Point(0, 200), Point(100, 200), Scalar::all(255), 1);
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line(src, Point(0, 400), Point(100, 400), Scalar::all(255), 1);
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line(src, Point(100, 0), Point(100, 200), Scalar::all(255), 1);
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line(src, Point(200, 0), Point(200, 200), Scalar::all(255), 1);
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line(src, Point(400, 0), Point(400, 200), Scalar::all(255), 1);
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src.copyTo(usrc);
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}
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void readRealTestData()
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{
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Mat img = readImage("shared/pic5.png", IMREAD_GRAYSCALE);
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Canny(img, src, 100, 150, 3);
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src.copyTo(usrc);
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}
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void Near(double eps = 0.)
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{
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EXPECT_EQ(dst.size(), udst.size());
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if (dst.total() > 0)
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{
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Mat lines_cpu, lines_gpu;
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dst.copyTo(lines_cpu);
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udst.copyTo(lines_gpu);
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std::sort(lines_cpu.begin<Vec2f>(), lines_cpu.end<Vec2f>(), Vec2fComparator());
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std::sort(lines_gpu.begin<Vec2f>(), lines_gpu.end<Vec2f>(), Vec2fComparator());
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EXPECT_LE(TestUtils::checkNorm2(lines_cpu, lines_gpu), eps);
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}
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}
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};
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OCL_TEST_P(HoughLines, RealImage)
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{
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readRealTestData();
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OCL_OFF(cv::HoughLines(src, dst, rhoStep, thetaStep, threshold));
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OCL_ON(cv::HoughLines(usrc, udst, rhoStep, thetaStep, threshold));
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Near(1e-5);
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}
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OCL_TEST_P(HoughLines, GeneratedImage)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::HoughLines(src, dst, rhoStep, thetaStep, threshold));
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OCL_ON(cv::HoughLines(usrc, udst, rhoStep, thetaStep, threshold));
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Near(1e-5);
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}
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}
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/////////////////////////////// HoughLinesP ///////////////////////////////////
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PARAM_TEST_CASE(HoughLinesP, int, double, double)
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{
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double rhoStep, thetaStep, minLineLength, maxGap;
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int threshold;
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Size src_size;
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Mat src, dst;
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UMat usrc, udst;
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virtual void SetUp()
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{
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rhoStep = 1.0;
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thetaStep = CV_PI / 180;
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threshold = GET_PARAM(0);
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minLineLength = GET_PARAM(1);
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maxGap = GET_PARAM(2);
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}
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void readRealTestData()
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{
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Mat img = readImage("shared/pic5.png", IMREAD_GRAYSCALE);
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Canny(img, src, 50, 200, 3);
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src.copyTo(usrc);
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}
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void Near(double eps = 0.)
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{
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Mat lines_gpu = udst.getMat(ACCESS_READ);
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if (dst.total() > 0 && lines_gpu.total() > 0)
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{
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Mat result_cpu(src.size(), CV_8UC1, Scalar::all(0));
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Mat result_gpu(src.size(), CV_8UC1, Scalar::all(0));
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MatConstIterator_<Vec4i> it = dst.begin<Vec4i>(), end = dst.end<Vec4i>();
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for ( ; it != end; it++)
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{
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Vec4i p = *it;
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line(result_cpu, Point(p[0], p[1]), Point(p[2], p[3]), Scalar(255));
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}
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it = lines_gpu.begin<Vec4i>(), end = lines_gpu.end<Vec4i>();
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for ( ; it != end; it++)
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{
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Vec4i p = *it;
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line(result_gpu, Point(p[0], p[1]), Point(p[2], p[3]), Scalar(255));
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}
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EXPECT_MAT_SIMILAR(result_cpu, result_gpu, eps);
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}
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}
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};
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OCL_TEST_P(HoughLinesP, RealImage)
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{
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readRealTestData();
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OCL_OFF(cv::HoughLinesP(src, dst, rhoStep, thetaStep, threshold, minLineLength, maxGap));
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OCL_ON(cv::HoughLinesP(usrc, udst, rhoStep, thetaStep, threshold, minLineLength, maxGap));
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Near(0.25);
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}
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OCL_INSTANTIATE_TEST_CASE_P(Imgproc, HoughLines, Combine(Values(1, 0.5), // rhoStep
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Values(CV_PI / 180.0, CV_PI / 360.0), // thetaStep
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Values(80, 150))); // threshold
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OCL_INSTANTIATE_TEST_CASE_P(Imgproc, HoughLinesP, Combine(Values(100, 150), // threshold
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Values(50, 100), // minLineLength
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Values(5, 10))); // maxLineGap
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} } // namespace opencv_test::ocl
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#endif // HAVE_OPENCL
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