chore: import upstream snapshot with attribution

2026-07-13 12:06:04 +08:00
commit 86c9b1c39f
7743 changed files with 3316339 additions and 0 deletions
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+/*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"
+
+#ifdef HAVE_OPENCL
+
+namespace opencv_test {
+namespace ocl {
+
+///////////////////////////////////////////// matchTemplate //////////////////////////////////////////////////////////
+
+CV_ENUM(MatchTemplType, cv::TM_CCORR, cv::TM_CCORR_NORMED, cv::TM_SQDIFF, cv::TM_SQDIFF_NORMED, cv::TM_CCOEFF, cv::TM_CCOEFF_NORMED)
+
+PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, 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);
+    }
+
+    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_32FC1, -upValue, upValue);
+
+        UMAT_UPLOAD_INPUT_PARAMETER(image);
+        UMAT_UPLOAD_INPUT_PARAMETER(templ);
+        UMAT_UPLOAD_OUTPUT_PARAMETER(result);
+    }
+
+    void Near()
+    {
+        bool isNormed =
+        method == TM_CCORR_NORMED ||
+        method == TM_SQDIFF_NORMED ||
+        method == TM_CCOEFF_NORMED;
+
+        if (isNormed)
+            OCL_EXPECT_MATS_NEAR(result, 3e-2);
+        else
+            OCL_EXPECT_MATS_NEAR_RELATIVE_SPARSE(result, 1.5e-2);
+    }
+};
+
+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));
+
+        Near();
+    }
+}
+
+OCL_INSTANTIATE_TEST_CASE_P(ImageProc, MatchTemplate, Combine(
+                                Values(CV_8U, CV_32F),
+                                Values(1, 2, 3, 4),
+                                MatchTemplType::all(),
+                                Bool())
+                           );
+} } // namespace opencv_test::ocl
+
+#endif