Added performance test for OCL version of HoughLines and HoughLinesP

diff --git a/modules/imgproc/perf/opencl/perf_houghLines.cpp b/modules/imgproc/perf/opencl/perf_houghLines.cpp
new file mode 100644 (file)
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+++ b/modules/imgproc/perf/opencl/perf_houghLines.cpp
@@ -0,0 +1,91 @@
+// 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
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