renamed gpuimgproc -> cudaimgproc

modules/cudaimgproc/perf/perf_match_template.cpp

@@ -0,0 +1,135 @@
+/*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) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage 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 "perf_precomp.hpp"
+
+using namespace std;
+using namespace testing;
+using namespace perf;
+
+////////////////////////////////////////////////////////////////////////////////
+// MatchTemplate8U
+
+CV_ENUM(TemplateMethod, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED)
+
+DEF_PARAM_TEST(Sz_TemplateSz_Cn_Method, cv::Size, cv::Size, MatCn, TemplateMethod);
+
+PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate8U,
+            Combine(GPU_TYPICAL_MAT_SIZES,
+                    Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
+                    GPU_CHANNELS_1_3_4,
+                    TemplateMethod::all()))
+{
+    declare.time(300.0);
+
+    const cv::Size size = GET_PARAM(0);
+    const cv::Size templ_size = GET_PARAM(1);
+    const int cn = GET_PARAM(2);
+    const int method = GET_PARAM(3);
+
+    cv::Mat image(size, CV_MAKE_TYPE(CV_8U, cn));
+    cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn));
+    declare.in(image, templ, WARMUP_RNG);
+
+    if (PERF_RUN_GPU())
+    {
+        const cv::cuda::GpuMat d_image(image);
+        const cv::cuda::GpuMat d_templ(templ);
+        cv::cuda::GpuMat dst;
+
+        cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);
+
+        TEST_CYCLE() alg->match(d_image, d_templ, dst);
+
+        GPU_SANITY_CHECK(dst, 1e-5, ERROR_RELATIVE);
+    }
+    else
+    {
+        cv::Mat dst;
+
+        TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
+
+        CPU_SANITY_CHECK(dst);
+    }
+};
+
+////////////////////////////////////////////////////////////////////////////////
+// MatchTemplate32F
+
+PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate32F,
+            Combine(GPU_TYPICAL_MAT_SIZES,
+                    Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
+                    GPU_CHANNELS_1_3_4,
+                    Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))))
+{
+    declare.time(300.0);
+
+    const cv::Size size = GET_PARAM(0);
+    const cv::Size templ_size = GET_PARAM(1);
+    const int cn = GET_PARAM(2);
+    int method = GET_PARAM(3);
+
+    cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn));
+    cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn));
+    declare.in(image, templ, WARMUP_RNG);
+
+    if (PERF_RUN_GPU())
+    {
+        const cv::cuda::GpuMat d_image(image);
+        const cv::cuda::GpuMat d_templ(templ);
+        cv::cuda::GpuMat dst;
+
+        cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);
+
+        TEST_CYCLE() alg->match(d_image, d_templ, dst);
+
+        GPU_SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
+    }
+    else
+    {
+        cv::Mat dst;
+
+        TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);
+
+        CPU_SANITY_CHECK(dst);
+    }
+}