Merge pull request #2149 from ElenaGvozdeva:ocl_matchTemplate

modules/imgproc/perf/opencl/perf_matchTemplate.cpp

+#include "perf_precomp.hpp"
+#include "opencv2/ts/ocl_perf.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace cvtest {
+
+namespace ocl {
+
+    CV_ENUM(MethodType, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED)
+
+    typedef std::tr1::tuple<Size, Size, MethodType> ImgSize_TmplSize_Method_t;
+    typedef TestBaseWithParam<ImgSize_TmplSize_Method_t> ImgSize_TmplSize_Method;
+
+    OCL_PERF_TEST_P(ImgSize_TmplSize_Method, MatchTemplate,
+            ::testing::Combine(
+                testing::Values(szSmall128, cv::Size(320, 240),
+                                cv::Size(640, 480), cv::Size(800, 600),
+                                cv::Size(1024, 768), cv::Size(1280, 1024)),
+                testing::Values(cv::Size(12, 12), cv::Size(28, 9),
+                                cv::Size(8, 30), cv::Size(16, 16)),
+                MethodType::all()
+                )
+            )
+    {
+        Size imgSz = get<0>(GetParam());
+        Size tmplSz = get<1>(GetParam());
+        int method = get<2>(GetParam());
+
+        UMat img(imgSz, CV_8UC1);
+        UMat tmpl(tmplSz, CV_8UC1);
+        UMat result(imgSz - tmplSz + Size(1,1), CV_32F);
+
+        declare
+            .in(img, WARMUP_RNG)
+            .in(tmpl, WARMUP_RNG)
+            .out(result)
+            .time(30);
+
+        OCL_TEST_CYCLE() matchTemplate(img, tmpl, result, method);
+
+        bool isNormed =
+            method == TM_CCORR_NORMED ||
+            method == TM_SQDIFF_NORMED ||
+            method == TM_CCOEFF_NORMED;
+        double eps = isNormed ? 3e-2
+            : 255 * 255 * tmpl.total() * 1e-4;
+
+        if (isNormed)
+            SANITY_CHECK(result,eps,ERROR_RELATIVE);
+        else
+            SANITY_CHECK(result, eps);
+    }
+}
+}
+
+#endif // HAVE_OPENCL
\ No newline at end of file

modules/imgproc/test/ocl/test_match_template.cpp

+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors as is and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "test_precomp.hpp"
+#include "opencv2/ts/ocl_test.hpp"
+#include "iostream"
+#include "fstream"
+
+#ifdef HAVE_OPENCL
+
+namespace cvtest {
+namespace ocl {
+
+/////////////////////////////////////////////matchTemplate//////////////////////////////////////////////////////////
+
+PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, int, bool)
+{
+    int type;
+    int depth;
+    int method;
+    bool use_roi;
+
+    TEST_DECLARE_INPUT_PARAMETER(image)
+    TEST_DECLARE_INPUT_PARAMETER(templ)
+    TEST_DECLARE_OUTPUT_PARAMETER(result)
+
+    virtual void SetUp()
+    {
+        type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1));
+        depth = GET_PARAM(0);
+        method = GET_PARAM(2);
+        use_roi = GET_PARAM(3);
+    }
+
+    virtual void generateTestData()
+    {
+        Size image_roiSize = randomSize(2, 100);
+        Size templ_roiSize = Size(randomInt(1, image_roiSize.width), randomInt(1, image_roiSize.height));
+        Size result_roiSize = Size(image_roiSize.width - templ_roiSize.width + 1,
+                                   image_roiSize.height - templ_roiSize.height + 1);
+
+        const double upValue = 256;
+
+        Border imageBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+        randomSubMat(image, image_roi, image_roiSize, imageBorder, type, -upValue, upValue);
+
+        Border templBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+        randomSubMat(templ, templ_roi, templ_roiSize, templBorder, type, -upValue, upValue);
+
+        Border resultBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+        randomSubMat(result, result_roi, result_roiSize, resultBorder, CV_32F, -upValue, upValue);
+
+        UMAT_UPLOAD_INPUT_PARAMETER(image)
+        UMAT_UPLOAD_INPUT_PARAMETER(templ)
+        UMAT_UPLOAD_OUTPUT_PARAMETER(result)
+    }
+
+    void Near(double threshold = 0.0)
+    {
+        OCL_EXPECT_MATS_NEAR(result,threshold);
+    }
+};
+
+OCL_TEST_P(MatchTemplate, Mat)
+{
+    for (int j = 0; j < test_loop_times; j++)
+    {
+        generateTestData();
+
+        OCL_OFF(cv::matchTemplate(image_roi,templ_roi,result_roi, method));
+        OCL_ON(cv::matchTemplate(uimage_roi,utempl_roi,uresult_roi, method));
+
+       if (method == 0)
+           Near(10.0f);
+       else
+           Near(method % 2 == 1 ? 0.001f : 1.0f);
+    }
+}
+
+OCL_INSTANTIATE_TEST_CASE_P(ImageProc, MatchTemplate, Combine(
+                                Values(CV_8U, CV_32F),
+                                Values(1, 2, 4),
+                                Values(0,1,2,3,4,5),
+                                Bool())
+                           );
+} } // namespace cvtest::ocl
+
+#endif
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