Merge pull request #13084 from vpisarev:shuffle_optflow_algos

* moved DIS optical flow from opencv_contrib to opencv, moved TVL1 from opencv to opencv_contrib

* fixed compile warning

* TVL1 optical flow example moved to opencv_contrib

modules/video/perf/opencl/perf_dis_optflow.cpp

+// 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.
+#include "../perf_precomp.hpp"
+#include "opencv2/ts/ocl_perf.hpp"
+
+namespace opencv_test { namespace {
+
+#ifdef HAVE_OPENCL
+
+void MakeArtificialExample(UMat &dst_frame1, UMat &dst_frame2);
+
+typedef tuple<String, Size> DISParams;
+typedef TestBaseWithParam<DISParams> DenseOpticalFlow_DIS;
+
+OCL_PERF_TEST_P(DenseOpticalFlow_DIS, perf,
+                Combine(Values("PRESET_ULTRAFAST", "PRESET_FAST", "PRESET_MEDIUM"), Values(szVGA, sz720p, sz1080p)))
+{
+    DISParams params = GetParam();
+
+    // use strings to print preset names in the perf test results:
+    String preset_string = get<0>(params);
+    int preset = DISOpticalFlow::PRESET_FAST;
+    if (preset_string == "PRESET_ULTRAFAST")
+        preset = DISOpticalFlow::PRESET_ULTRAFAST;
+    else if (preset_string == "PRESET_FAST")
+        preset = DISOpticalFlow::PRESET_FAST;
+    else if (preset_string == "PRESET_MEDIUM")
+        preset = DISOpticalFlow::PRESET_MEDIUM;
+    Size sz = get<1>(params);
+
+    UMat frame1(sz, CV_8U);
+    UMat frame2(sz, CV_8U);
+    UMat flow;
+
+    MakeArtificialExample(frame1, frame2);
+
+    Ptr<DenseOpticalFlow> algo = DISOpticalFlow::create(preset);
+
+    OCL_TEST_CYCLE_N(10)
+    {
+        algo->calc(frame1, frame2, flow);
+    }
+
+    SANITY_CHECK_NOTHING();
+}
+
+void MakeArtificialExample(UMat &dst_frame1, UMat &dst_frame2)
+{
+    int src_scale = 2;
+    int OF_scale = 6;
+    double sigma = dst_frame1.cols / 300;
+
+    UMat tmp(Size(dst_frame1.cols / (1 << src_scale), dst_frame1.rows / (1 << src_scale)), CV_8U);
+    randu(tmp, 0, 255);
+    resize(tmp, dst_frame1, dst_frame1.size(), 0.0, 0.0, INTER_LINEAR_EXACT);
+    resize(tmp, dst_frame2, dst_frame2.size(), 0.0, 0.0, INTER_LINEAR_EXACT);
+
+    Mat displacement_field(Size(dst_frame1.cols / (1 << OF_scale), dst_frame1.rows / (1 << OF_scale)),
+                           CV_32FC2);
+    randn(displacement_field, 0.0, sigma);
+    resize(displacement_field, displacement_field, dst_frame2.size(), 0.0, 0.0, INTER_CUBIC);
+    for (int i = 0; i < displacement_field.rows; i++)
+        for (int j = 0; j < displacement_field.cols; j++)
+            displacement_field.at<Vec2f>(i, j) += Vec2f((float)j, (float)i);
+
+    remap(dst_frame2, dst_frame2, displacement_field, Mat(), INTER_LINEAR, BORDER_REPLICATE);
+}
+
+#endif // HAVE_OPENCL
+
+}} // namespace

modules/video/perf/perf_disflow.cpp

+// 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.
+#include "perf_precomp.hpp"
+
+namespace opencv_test { namespace {
+
+void MakeArtificialExample(Mat &dst_frame1, Mat &dst_frame2);
+
+typedef tuple<String, Size> DISParams;
+typedef TestBaseWithParam<DISParams> DenseOpticalFlow_DIS;
+
+PERF_TEST_P(DenseOpticalFlow_DIS, perf,
+            Combine(Values("PRESET_ULTRAFAST", "PRESET_FAST", "PRESET_MEDIUM"), Values(szVGA, sz720p, sz1080p)))
+{
+    DISParams params = GetParam();
+
+    // use strings to print preset names in the perf test results:
+    String preset_string = get<0>(params);
+    int preset = DISOpticalFlow::PRESET_FAST;
+    if (preset_string == "PRESET_ULTRAFAST")
+        preset = DISOpticalFlow::PRESET_ULTRAFAST;
+    else if (preset_string == "PRESET_FAST")
+        preset = DISOpticalFlow::PRESET_FAST;
+    else if (preset_string == "PRESET_MEDIUM")
+        preset = DISOpticalFlow::PRESET_MEDIUM;
+    Size sz = get<1>(params);
+
+    Mat frame1(sz, CV_8U);
+    Mat frame2(sz, CV_8U);
+    Mat flow;
+
+    MakeArtificialExample(frame1, frame2);
+
+    TEST_CYCLE_N(10)
+    {
+        Ptr<DenseOpticalFlow> algo = DISOpticalFlow::create(preset);
+        algo->calc(frame1, frame2, flow);
+    }
+
+    SANITY_CHECK_NOTHING();
+}
+
+void MakeArtificialExample(Mat &dst_frame1, Mat &dst_frame2)
+{
+    int src_scale = 2;
+    int OF_scale = 6;
+    double sigma = dst_frame1.cols / 300;
+
+    Mat tmp(Size(dst_frame1.cols / (1 << src_scale), dst_frame1.rows / (1 << src_scale)), CV_8U);
+    randu(tmp, 0, 255);
+    resize(tmp, dst_frame1, dst_frame1.size(), 0.0, 0.0, INTER_LINEAR_EXACT);
+    resize(tmp, dst_frame2, dst_frame2.size(), 0.0, 0.0, INTER_LINEAR_EXACT);
+
+    Mat displacement_field(Size(dst_frame1.cols / (1 << OF_scale), dst_frame1.rows / (1 << OF_scale)),
+                           CV_32FC2);
+    randn(displacement_field, 0.0, sigma);
+    resize(displacement_field, displacement_field, dst_frame2.size(), 0.0, 0.0, INTER_CUBIC);
+    for (int i = 0; i < displacement_field.rows; i++)
+        for (int j = 0; j < displacement_field.cols; j++)
+            displacement_field.at<Vec2f>(i, j) += Vec2f((float)j, (float)i);
+
+    remap(dst_frame2, dst_frame2, displacement_field, Mat(), INTER_LINEAR, BORDER_REPLICATE);
+}
+
+}} // namespace

modules/video/perf/perf_precomp.hpp

@@ -6,5 +6,11 @@
 
 #include "opencv2/ts.hpp"
 #include <opencv2/video.hpp>
+#include "opencv2/ts/ts_perf.hpp"
+
+namespace cvtest
+{
+using namespace perf;
+}
 
 #endif

modules/video/perf/perf_tvl1optflow.cpp

-#include "perf_precomp.hpp"
-
-namespace opencv_test { namespace {
-using namespace perf;
-
-typedef TestBaseWithParam< std::pair<string, string> > ImagePair;
-
-std::pair<string, string> impair(const char* im1, const char* im2)
-{
-    return std::make_pair(string(im1), string(im2));
-}
-
-PERF_TEST_P(ImagePair, OpticalFlowDual_TVL1, testing::Values(impair("cv/optflow/RubberWhale1.png", "cv/optflow/RubberWhale2.png")))
-{
-    declare.time(260);
-
-    Mat frame1 = imread(getDataPath(GetParam().first), IMREAD_GRAYSCALE);
-    Mat frame2 = imread(getDataPath(GetParam().second), IMREAD_GRAYSCALE);
-    ASSERT_FALSE(frame1.empty());
-    ASSERT_FALSE(frame2.empty());
-
-    Mat flow;
-
-    Ptr<DenseOpticalFlow> tvl1 = createOptFlow_DualTVL1();
-
-    TEST_CYCLE() tvl1->calc(frame1, frame2, flow);
-
-    SANITY_CHECK_NOTHING();
-}
-
-}} // namespace

modules/video/perf/perf_variational_refinement.cpp

+// 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.
+#include "perf_precomp.hpp"
+
+namespace opencv_test { namespace {
+
+typedef tuple<Size, int, int> VarRefParams;
+typedef TestBaseWithParam<VarRefParams> DenseOpticalFlow_VariationalRefinement;
+
+PERF_TEST_P(DenseOpticalFlow_VariationalRefinement, perf, Combine(Values(szQVGA, szVGA), Values(5, 10), Values(5, 10)))
+{
+    VarRefParams params = GetParam();
+    Size sz = get<0>(params);
+    int sorIter = get<1>(params);
+    int fixedPointIter = get<2>(params);
+
+    Mat frame1(sz, CV_8U);
+    Mat frame2(sz, CV_8U);
+    Mat flow(sz, CV_32FC2);
+
+    randu(frame1, 0, 255);
+    randu(frame2, 0, 255);
+    flow.setTo(0.0f);
+
+    TEST_CYCLE_N(10)
+    {
+        Ptr<VariationalRefinement> var = VariationalRefinement::create();
+        var->setAlpha(20.0f);
+        var->setGamma(10.0f);
+        var->setDelta(5.0f);
+        var->setSorIterations(sorIter);
+        var->setFixedPointIterations(fixedPointIter);
+        var->calc(frame1, frame2, flow);
+    }
+
+    SANITY_CHECK_NOTHING();
+}
+
+}} // namespace

modules/video/perf/opencl/perf_optflow_dualTVL1.cpp → modules/video/src/optical_flow_io.cpp

@@ -10,14 +10,10 @@
 //                           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.
+// 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.
 //
-// @Authors
-//    Fangfang Bai, fangfang@multicorewareinc.com
-//    Jin Ma,       jin@multicorewareinc.com
-//
 // Redistribution and use in source and binary forms, with or without modification,
 // are permitted provided that the following conditions are met:
 //
@@ -31,7 +27,7 @@
 //   * 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
+// 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,
@@ -43,69 +39,91 @@
 // the use of this software, even if advised of the possibility of such damage.
 //
 //M*/
+#include "precomp.hpp"
+#include<iostream>
+#include<fstream>
 
-#include "../perf_precomp.hpp"
-#include "opencv2/ts/ocl_perf.hpp"
+namespace cv {
 
-#ifdef HAVE_OPENCL
+const float FLOW_TAG_FLOAT = 202021.25f;
+const char *FLOW_TAG_STRING = "PIEH";
+CV_EXPORTS_W Mat readOpticalFlow( const String& path )
+{
+    Mat_<Point2f> flow;
+    std::ifstream file(path.c_str(), std::ios_base::binary);
+    if ( !file.good() )
+        return flow; // no file - return empty matrix
 
-namespace opencv_test {
-namespace ocl {
+    float tag;
+    file.read((char*) &tag, sizeof(float));
+    if ( tag != FLOW_TAG_FLOAT )
+        return flow;
 
-///////////// OpticalFlow Dual TVL1 ////////////////////////
-typedef tuple< tuple<int, double>, bool> OpticalFlowDualTVL1Params;
-typedef TestBaseWithParam<OpticalFlowDualTVL1Params> OpticalFlowDualTVL1Fixture;
+    int width, height;
 
-OCL_PERF_TEST_P(OpticalFlowDualTVL1Fixture, OpticalFlowDualTVL1,
-            ::testing::Combine(
-                        ::testing::Values(make_tuple<int, double>(-1, 0.3),
-                                          make_tuple<int, double>(3, 0.5)),
-                        ::testing::Bool()
-                                )
-            )
-    {
-        Mat frame0 = imread(getDataPath("cv/optflow/RubberWhale1.png"), cv::IMREAD_GRAYSCALE);
-        ASSERT_FALSE(frame0.empty()) << "can't load RubberWhale1.png";
+    file.read((char*) &width, 4);
+    file.read((char*) &height, 4);
 
-        Mat frame1 = imread(getDataPath("cv/optflow/RubberWhale2.png"), cv::IMREAD_GRAYSCALE);
-        ASSERT_FALSE(frame1.empty()) << "can't load RubberWhale2.png";
+    flow.create(height, width);
 
-        const Size srcSize = frame0.size();
+    for ( int i = 0; i < flow.rows; ++i )
+    {
+        for ( int j = 0; j < flow.cols; ++j )
+        {
+            Point2f u;
+            file.read((char*) &u.x, sizeof(float));
+            file.read((char*) &u.y, sizeof(float));
+            if ( !file.good() )
+            {
+                flow.release();
+                return flow;
+            }
 
-        const OpticalFlowDualTVL1Params params = GetParam();
-        const tuple<int, double> filteringScale = get<0>(params);
-            const int medianFiltering = get<0>(filteringScale);
-            const double scaleStep = get<1>(filteringScale);
-        const bool useInitFlow = get<1>(params);
-        double eps = 0.9;
+            flow(i, j) = u;
+        }
+    }
+    file.close();
+    return flow;
+}
 
-        UMat uFrame0; frame0.copyTo(uFrame0);
-        UMat uFrame1; frame1.copyTo(uFrame1);
-        UMat uFlow(srcSize, CV_32FC2);
-        declare.in(uFrame0, uFrame1, WARMUP_READ).out(uFlow, WARMUP_READ);
+CV_EXPORTS_W bool writeOpticalFlow( const String& path, InputArray flow )
+{
+    const int nChannels = 2;
 
-        //create algorithm
-        cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1();
+    Mat input = flow.getMat();
+    if ( input.channels() != nChannels || input.depth() != CV_32F || path.length() == 0 )
+        return false;
 
-        //set parameters
-        alg->setScaleStep(scaleStep);
-        alg->setMedianFiltering(medianFiltering);
+    std::ofstream file(path.c_str(), std::ofstream::binary);
+    if ( !file.good() )
+        return false;
 
-        if (useInitFlow)
-        {
-            //calculate initial flow as result of optical flow
-            alg->calc(uFrame0, uFrame1, uFlow);
-        }
+    int nRows, nCols;
+
+    nRows = (int) input.size().height;
+    nCols = (int) input.size().width;
 
-        //set flag to use initial flow
-        alg->setUseInitialFlow(useInitFlow);
-        OCL_TEST_CYCLE()
-            alg->calc(uFrame0, uFrame1, uFlow);
+    const int headerSize = 12;
+    char header[headerSize];
+    memcpy(header, FLOW_TAG_STRING, 4);
+    // size of ints is known - has been asserted in the current function
+    memcpy(header + 4, reinterpret_cast<const char*>(&nCols), sizeof(nCols));
+    memcpy(header + 8, reinterpret_cast<const char*>(&nRows), sizeof(nRows));
+    file.write(header, headerSize);
+    if ( !file.good() )
+        return false;
 
-        SANITY_CHECK(uFlow, eps, ERROR_RELATIVE);
+    int row;
+    char* p;
+    for ( row = 0; row < nRows; row++ )
+    {
+        p = input.ptr<char>(row);
+        file.write(p, nCols * nChannels * sizeof(float));
+        if ( !file.good() )
+            return false;
     }
+    file.close();
+    return true;
 }
 
-} // namespace opencv_test::ocl
-
-#endif // HAVE_OPENCL
+}

modules/video/test/ocl/test_optflow_tvl1flow.cpp → modules/video/test/ocl/test_dis.cpp

@@ -7,12 +7,10 @@
 //  copy or use the software.
 //
 //
-//                           License Agreement
+//                        Intel 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.
+// Copyright (C) 2000, Intel Corporation, all rights reserved.
 // Third party copyrights are property of their respective owners.
 //
 // Redistribution and use in source and binary forms, with or without modification,
@@ -25,7 +23,7 @@
 //     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
+//   * The name of Intel Corporation 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
@@ -46,72 +44,53 @@
 
 #ifdef HAVE_OPENCL
 
-namespace opencv_test {
-namespace ocl {
+namespace opencv_test { namespace {
 
-/////////////////////////////////////////////////////////////////////////////////////////////////
-// Optical_flow_tvl1
-namespace
+PARAM_TEST_CASE(OCL_DenseOpticalFlow_DIS, int)
 {
-    IMPLEMENT_PARAM_CLASS(UseInitFlow, bool)
-    IMPLEMENT_PARAM_CLASS(MedianFiltering, int)
-    IMPLEMENT_PARAM_CLASS(ScaleStep, double)
-}
+    int preset;
 
-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);
+        preset = GET_PARAM(0);
     }
 };
 
-OCL_TEST_P(OpticalFlowTVL1, Mat)
+OCL_TEST_P(OCL_DenseOpticalFlow_DIS, Mat)
 {
-    cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(frame0.empty());
+    Mat frame1, frame2, GT;
 
-    cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(frame1.empty());
+    frame1 = imread(TS::ptr()->get_data_path() + "optflow/RubberWhale1.png");
+    frame2 = imread(TS::ptr()->get_data_path() + "optflow/RubberWhale2.png");
 
-    cv::Mat flow; cv::UMat uflow;
+    CV_Assert(!frame1.empty() && !frame2.empty());
 
-    //create algorithm
-    cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1();
+    cvtColor(frame1, frame1, COLOR_BGR2GRAY);
+    cvtColor(frame2, frame2, COLOR_BGR2GRAY);
 
-    //set parameters
-    alg->setScaleStep(scaleStep);
-    alg->setMedianFiltering(medianFiltering);
+    Ptr<DenseOpticalFlow> algo;
 
-    //create initial flow as result of algorithm calculation
-    if (useInitFlow)
+    // iterate over presets:
+    for (int i = 0; i < cvtest::ocl::test_loop_times; i++)
     {
-        OCL_ON(alg->calc(frame0, frame1, uflow));
-        uflow.copyTo(flow);
-    }
+        Mat flow;
+        UMat ocl_flow;
 
-    //set flag to use initial flow as it is ready to use
-    alg->setUseInitialFlow(useInitFlow);
+        algo = DISOpticalFlow::create(preset);
+        OCL_OFF(algo->calc(frame1, frame2, flow));
+        OCL_ON(algo->calc(frame1, frame2, ocl_flow));
+        ASSERT_EQ(flow.rows, ocl_flow.rows);
+        ASSERT_EQ(flow.cols, ocl_flow.cols);
 
-    OCL_OFF(alg->calc(frame0, frame1, flow));
-    OCL_ON(alg->calc(frame0, frame1, uflow));
-
-    EXPECT_MAT_SIMILAR(flow, uflow, 1e-2);
+        EXPECT_MAT_SIMILAR(flow, ocl_flow, 6e-3);
+    }
 }
 
-OCL_INSTANTIATE_TEST_CASE_P(Video, OpticalFlowTVL1,
-    Combine(
-    Values(UseInitFlow(false), UseInitFlow(true)),
-    Values(MedianFiltering(3), MedianFiltering(-1)),
-    Values(ScaleStep(0.3),ScaleStep(0.5))
-    )
-    );
+OCL_INSTANTIATE_TEST_CASE_P(Video, OCL_DenseOpticalFlow_DIS,
+                            Values(DISOpticalFlow::PRESET_ULTRAFAST,
+                                   DISOpticalFlow::PRESET_FAST,
+                                   DISOpticalFlow::PRESET_MEDIUM));
 
-} } // namespace opencv_test::ocl
+}} // namespace
 
 #endif // HAVE_OPENCL

modules/video/test/test_tvl1optflow.cpp → modules/video/test/test_OF_accuracy.cpp

@@ -43,131 +43,105 @@
 
 namespace opencv_test { namespace {
 
-//#define DUMP
+static string getDataDir() { return TS::ptr()->get_data_path(); }
 
-    // first four bytes, should be the same in little endian
-    const float FLO_TAG_FLOAT = 202021.25f;  // check for this when READING the file
+static string getRubberWhaleFrame1() { return getDataDir() + "optflow/RubberWhale1.png"; }
 
-#ifdef DUMP
-    // binary file format for flow data specified here:
-    // http://vision.middlebury.edu/flow/data/
-    void writeOpticalFlowToFile(const Mat_<Point2f>& flow, const string& fileName)
-    {
-        const char FLO_TAG_STRING[] = "PIEH";    // use this when WRITING the file
-        ofstream file(fileName.c_str(), ios_base::binary);
-
-        file << FLO_TAG_STRING;
-
-        file.write((const char*) &flow.cols, sizeof(int));
-        file.write((const char*) &flow.rows, sizeof(int));
-
-        for (int i = 0; i < flow.rows; ++i)
-        {
-            for (int j = 0; j < flow.cols; ++j)
-            {
-                const Point2f u = flow(i, j);
+static string getRubberWhaleFrame2() { return getDataDir() + "optflow/RubberWhale2.png"; }
 
-                file.write((const char*) &u.x, sizeof(float));
-                file.write((const char*) &u.y, sizeof(float));
-            }
-        }
-    }
-#endif
+static string getRubberWhaleGroundTruth() { return getDataDir() + "optflow/RubberWhale.flo"; }
 
-    // binary file format for flow data specified here:
-    // http://vision.middlebury.edu/flow/data/
-    void readOpticalFlowFromFile(Mat_<Point2f>& flow, const string& fileName)
-    {
-        std::ifstream file(fileName.c_str(), std::ios_base::binary);
+static bool isFlowCorrect(float u) { return !cvIsNaN(u) && (fabs(u) < 1e9); }
 
-        float tag;
-        file.read((char*) &tag, sizeof(float));
-        CV_Assert( tag == FLO_TAG_FLOAT );
-
-        Size size;
-
-        file.read((char*) &size.width, sizeof(int));
-        file.read((char*) &size.height, sizeof(int));
-
-        flow.create(size);
+static float calcRMSE(Mat flow1, Mat flow2)
+{
+    float sum = 0;
+    int counter = 0;
+    const int rows = flow1.rows;
+    const int cols = flow1.cols;
 
-        for (int i = 0; i < flow.rows; ++i)
+    for (int y = 0; y < rows; ++y)
     {
-            for (int j = 0; j < flow.cols; ++j)
+        for (int x = 0; x < cols; ++x)
         {
-                Point2f u;
+            Vec2f flow1_at_point = flow1.at<Vec2f>(y, x);
+            Vec2f flow2_at_point = flow2.at<Vec2f>(y, x);
 
-                file.read((char*) &u.x, sizeof(float));
-                file.read((char*) &u.y, sizeof(float));
+            float u1 = flow1_at_point[0];
+            float v1 = flow1_at_point[1];
+            float u2 = flow2_at_point[0];
+            float v2 = flow2_at_point[1];
 
-                flow(i, j) = u;
-            }
+            if (isFlowCorrect(u1) && isFlowCorrect(u2) && isFlowCorrect(v1) && isFlowCorrect(v2))
+            {
+                sum += (u1 - u2) * (u1 - u2) + (v1 - v2) * (v1 - v2);
+                counter++;
             }
-        file.close();
         }
-
-    bool isFlowCorrect(Point2f u)
-    {
-        return !cvIsNaN(u.x) && !cvIsNaN(u.y) && (fabs(u.x) < 1e9) && (fabs(u.y) < 1e9);
     }
+    return (float)sqrt(sum / (1e-9 + counter));
+}
 
-    void check(const Mat_<Point2f>& gold, const Mat_<Point2f>& flow, double threshold = 0.1, double expectedAccuracy = 0.95)
-    {
-        threshold = threshold*threshold;
+bool readRubberWhale(Mat &dst_frame_1, Mat &dst_frame_2, Mat &dst_GT)
+{
+    const string frame1_path = getRubberWhaleFrame1();
+    const string frame2_path = getRubberWhaleFrame2();
+    const string gt_flow_path = getRubberWhaleGroundTruth();
+
+    dst_frame_1 = imread(frame1_path);
+    dst_frame_2 = imread(frame2_path);
+    dst_GT = readOpticalFlow(gt_flow_path);
+
+    if (dst_frame_1.empty() || dst_frame_2.empty() || dst_GT.empty())
+        return false;
+    else
+        return true;
+}
 
-        size_t gold_counter = 0;
-        size_t valid_counter = 0;
+TEST(DenseOpticalFlow_DIS, ReferenceAccuracy)
+{
+    Mat frame1, frame2, GT;
+    ASSERT_TRUE(readRubberWhale(frame1, frame2, GT));
+    int presets[] = {DISOpticalFlow::PRESET_ULTRAFAST, DISOpticalFlow::PRESET_FAST, DISOpticalFlow::PRESET_MEDIUM};
+    float target_RMSE[] = {0.86f, 0.74f, 0.49f};
+    cvtColor(frame1, frame1, COLOR_BGR2GRAY);
+    cvtColor(frame2, frame2, COLOR_BGR2GRAY);
 
-        for (int i = 0; i < gold.rows; ++i)
-        {
-            for (int j = 0; j < gold.cols; ++j)
-            {
-                const Point2f u1 = gold(i, j);
-                const Point2f u2 = flow(i, j);
+    Ptr<DenseOpticalFlow> algo;
 
-                if (isFlowCorrect(u1))
-                {
-                    gold_counter++;
-                    if (isFlowCorrect(u2))
+    // iterate over presets:
+    for (int i = 0; i < 3; i++)
     {
-                        const Point2f diff = u1 - u2;
-                        double err = diff.ddot(diff);
-                        if (err <= threshold)
-                            valid_counter++;
-                    }
-                }
-            }
-        }
-        EXPECT_GE(valid_counter, expectedAccuracy * gold_counter);
+        Mat flow;
+        algo = DISOpticalFlow::create(presets[i]);
+        algo->calc(frame1, frame2, flow);
+        ASSERT_EQ(GT.rows, flow.rows);
+        ASSERT_EQ(GT.cols, flow.cols);
+        EXPECT_LE(calcRMSE(GT, flow), target_RMSE[i]);
     }
+}
 
-TEST(Video_calcOpticalFlowDual_TVL1, Regression)
+TEST(DenseOpticalFlow_VariationalRefinement, ReferenceAccuracy)
 {
-    const string frame1_path = TS::ptr()->get_data_path() + "optflow/RubberWhale1.png";
-    const string frame2_path = TS::ptr()->get_data_path() + "optflow/RubberWhale2.png";
-    const string gold_flow_path = TS::ptr()->get_data_path() + "optflow/tvl1_flow.flo";
-
-    Mat frame1 = imread(frame1_path, IMREAD_GRAYSCALE);
-    Mat frame2 = imread(frame2_path, IMREAD_GRAYSCALE);
-    ASSERT_FALSE(frame1.empty());
-    ASSERT_FALSE(frame2.empty());
-
-    Mat_<Point2f> flow;
-    Ptr<DualTVL1OpticalFlow> tvl1 = cv::DualTVL1OpticalFlow::create();
-
-    tvl1->calc(frame1, frame2, flow);
-
-#ifdef DUMP
-    writeOpticalFlowToFile(flow, gold_flow_path);
-#else
-    Mat_<Point2f> gold;
-    readOpticalFlowFromFile(gold, gold_flow_path);
-
-    ASSERT_EQ(gold.rows, flow.rows);
-    ASSERT_EQ(gold.cols, flow.cols);
-
-    check(gold, flow);
-#endif
+    Mat frame1, frame2, GT;
+    ASSERT_TRUE(readRubberWhale(frame1, frame2, GT));
+    float target_RMSE = 0.86f;
+    cvtColor(frame1, frame1, COLOR_BGR2GRAY);
+    cvtColor(frame2, frame2, COLOR_BGR2GRAY);
+
+    Ptr<VariationalRefinement> var_ref;
+    var_ref = VariationalRefinement::create();
+    var_ref->setAlpha(20.0f);
+    var_ref->setDelta(5.0f);
+    var_ref->setGamma(10.0f);
+    var_ref->setSorIterations(25);
+    var_ref->setFixedPointIterations(25);
+    Mat flow(frame1.size(), CV_32FC2);
+    flow.setTo(0.0f);
+    var_ref->calc(frame1, frame2, flow);
+    ASSERT_EQ(GT.rows, flow.rows);
+    ASSERT_EQ(GT.cols, flow.cols);
+    EXPECT_LE(calcRMSE(GT, flow), target_RMSE);
 }
 
 }} // namespace

modules/video/test/test_precomp.hpp

@@ -6,5 +6,10 @@
 
 #include "opencv2/ts.hpp"
 #include "opencv2/video.hpp"
+#include <opencv2/ts/ts_perf.hpp>
+
+namespace opencv_test {
+using namespace perf;
+}
 
 #endif

samples/tapi/dense_optical_flow.cpp

@@ -50,7 +50,7 @@ int main(int argc, const char* argv[])
     const char* keys =
             "{ h help     |     | print help message }"
             "{ c camera   | 0   | capture video from camera (device index starting from 0) }"
-            "{ a algorithm | fb | algorithm (supported: 'fb', 'tvl')}"
+            "{ a algorithm | fb | algorithm (supported: 'fb', 'dis')}"
             "{ m cpu      |     | run without OpenCL }"
             "{ v video    |     | use video as input }"
             "{ o original |     | use original frame size (do not resize to 640x480)}"
@@ -84,11 +84,11 @@ int main(int argc, const char* argv[])
         return 2;
     }
 
-    cv::Ptr<cv::DenseOpticalFlow> alg;
+    Ptr<DenseOpticalFlow> alg;
     if (algorithm == "fb")
-        alg = cv::FarnebackOpticalFlow::create();
-    else if (algorithm == "tvl")
-        alg = cv::DualTVL1OpticalFlow::create();
+        alg = FarnebackOpticalFlow::create();
+    else if (algorithm == "dis")
+        alg = DISOpticalFlow::create(DISOpticalFlow::PRESET_FAST);
     else
     {
         cout << "Invalid algorithm: " << algorithm << endl;