vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
commit 12022378a3
3872 changed files with 2513409 additions and 0 deletions
@@ -0,0 +1,66 @@
+// 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, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+
+#include "../test_precomp.hpp"
+#include "opencv2/ts/ocl_test.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace opencv_test { namespace {
+
+PARAM_TEST_CASE(UpdateMotionHistory, bool)
+{
+    double timestamp, duration;
+    bool use_roi;
+
+    TEST_DECLARE_INPUT_PARAMETER(silhouette);
+    TEST_DECLARE_OUTPUT_PARAMETER(mhi);
+
+    virtual void SetUp()
+    {
+        use_roi = GET_PARAM(0);
+    }
+
+    virtual void generateTestData()
+    {
+        Size roiSize = randomSize(1, MAX_VALUE);
+        Border silhouetteBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+        randomSubMat(silhouette, silhouette_roi, roiSize, silhouetteBorder, CV_8UC1, -11, 11);
+
+        Border mhiBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+        randomSubMat(mhi, mhi_roi, roiSize, mhiBorder, CV_32FC1, 0, 1);
+
+        timestamp = randomDouble(0, 1);
+        duration = randomDouble(0, 1);
+        if (timestamp < duration)
+            std::swap(timestamp, duration);
+
+        UMAT_UPLOAD_INPUT_PARAMETER(silhouette);
+        UMAT_UPLOAD_OUTPUT_PARAMETER(mhi);
+    }
+};
+
+OCL_TEST_P(UpdateMotionHistory, Mat)
+{
+    for (int j = 0; j < cvtest::ocl::test_loop_times; j++)
+    {
+        generateTestData();
+
+        OCL_OFF(cv::motempl::updateMotionHistory(silhouette_roi, mhi_roi, timestamp, duration));
+        OCL_ON(cv::motempl::updateMotionHistory(usilhouette_roi, umhi_roi, timestamp, duration));
+
+        OCL_EXPECT_MATS_NEAR(mhi, 0);
+    }
+}
+
+//////////////////////////////////////// Instantiation /////////////////////////////////////////
+
+OCL_INSTANTIATE_TEST_CASE_P(Video, UpdateMotionHistory, Values(false, true));
+
+}} // namespace
+
+#endif // HAVE_OPENCL
@@ -0,0 +1,117 @@
+/*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, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Multicoreware, 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 {
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+// Optical_flow_tvl1
+namespace
+{
+    IMPLEMENT_PARAM_CLASS(UseInitFlow, bool)
+    IMPLEMENT_PARAM_CLASS(MedianFiltering, int)
+    IMPLEMENT_PARAM_CLASS(ScaleStep, double)
+}
+
+PARAM_TEST_CASE(OpticalFlowTVL1, UseInitFlow, MedianFiltering, ScaleStep)
+{
+    bool useInitFlow;
+    int medianFiltering;
+    double scaleStep;
+    virtual void SetUp()
+    {
+        useInitFlow = GET_PARAM(0);
+        medianFiltering = GET_PARAM(1);
+        scaleStep = GET_PARAM(2);
+    }
+};
+
+OCL_TEST_P(OpticalFlowTVL1, Mat)
+{
+    Mat frame0 = readImage("optflow/RubberWhale1.png", IMREAD_GRAYSCALE);
+    ASSERT_FALSE(frame0.empty());
+
+    Mat frame1 = readImage("optflow/RubberWhale2.png", IMREAD_GRAYSCALE);
+    ASSERT_FALSE(frame1.empty());
+
+    Mat flow; UMat uflow;
+
+    //create algorithm
+    Ptr<DualTVL1OpticalFlow> alg = createOptFlow_DualTVL1();
+
+    //set parameters
+    alg->setScaleStep(scaleStep);
+    alg->setMedianFiltering(medianFiltering);
+
+    //create initial flow as result of algorithm calculation
+    if (useInitFlow)
+    {
+        OCL_ON(alg->calc(frame0, frame1, uflow));
+        uflow.copyTo(flow);
+    }
+
+    //set flag to use initial flow as it is ready to use
+    alg->setUseInitialFlow(useInitFlow);
+
+    OCL_OFF(alg->calc(frame0, frame1, flow));
+    OCL_ON(alg->calc(frame0, frame1, uflow));
+
+    EXPECT_MAT_SIMILAR(flow, uflow, 1e-2);
+}
+
+OCL_INSTANTIATE_TEST_CASE_P(Contrib, OpticalFlowTVL1,
+    Combine(
+    Values(UseInitFlow(false), UseInitFlow(true)),
+    Values(MedianFiltering(3), MedianFiltering(-1)),
+    Values(ScaleStep(0.3),ScaleStep(0.5))
+    )
+    );
+
+} } // namespace opencv_test::ocl
+
+#endif // HAVE_OPENCL