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43 
44 #include "../test_precomp.hpp"
45 #include "opencv2/ts/ocl_test.hpp"
46 
47 #ifdef HAVE_OPENCL
48 
49 namespace cvtest {
50 namespace ocl {
51 
52 /////////////////////////////////////////////////////////////////////////////////////////////////
53 // FarnebackOpticalFlow
54 namespace
55 {
56     IMPLEMENT_PARAM_CLASS(PyrScale, double)
57     IMPLEMENT_PARAM_CLASS(PolyN, int)
58     CV_FLAGS(FarnebackOptFlowFlags, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
59     IMPLEMENT_PARAM_CLASS(UseInitFlow, bool)
60 }
61 
PARAM_TEST_CASE(FarnebackOpticalFlow,PyrScale,PolyN,FarnebackOptFlowFlags,UseInitFlow)62 PARAM_TEST_CASE(FarnebackOpticalFlow, PyrScale, PolyN, FarnebackOptFlowFlags, UseInitFlow)
63 {
64     int numLevels;
65     int winSize;
66     int numIters;
67     double pyrScale;
68     int polyN;
69     int flags;
70     bool useInitFlow;
71 
72     virtual void SetUp()
73     {
74         numLevels = 5;
75         winSize = 13;
76         numIters = 10;
77         pyrScale = GET_PARAM(0);
78         polyN = GET_PARAM(1);
79         flags = GET_PARAM(2);
80         useInitFlow = GET_PARAM(3);
81     }
82 };
83 
OCL_TEST_P(FarnebackOpticalFlow,Mat)84 OCL_TEST_P(FarnebackOpticalFlow, Mat)
85 {
86     cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE);
87     ASSERT_FALSE(frame0.empty());
88 
89     cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE);
90     ASSERT_FALSE(frame1.empty());
91 
92     double polySigma = polyN <= 5 ? 1.1 : 1.5;
93 
94     cv::Mat flow; cv::UMat uflow;
95     if (useInitFlow)
96     {
97         OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
98         uflow.copyTo(flow);
99         flags |= cv::OPTFLOW_USE_INITIAL_FLOW;
100     }
101     OCL_OFF(cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
102     OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
103 
104     EXPECT_MAT_SIMILAR(flow, uflow, 0.1);
105 }
106 
107 
108 OCL_INSTANTIATE_TEST_CASE_P(Video, FarnebackOpticalFlow,
109                             Combine(
110                                 Values(PyrScale(0.3), PyrScale(0.5), PyrScale(0.8)),
111                                 Values(PolyN(5), PolyN(7)),
112                                 Values(FarnebackOptFlowFlags(0), FarnebackOptFlowFlags(cv::OPTFLOW_FARNEBACK_GAUSSIAN)),
113                                 Values(UseInitFlow(false), UseInitFlow(true))
114                                 )
115                            );
116 
117 
118 } } // namespace cvtest::ocl
119 
120 #endif // HAVE_OPENCL
121