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Rework RLOF by using HAL universal instructions * * distinguish between SSE2 and SSE 4.1 support * SSE2 now implements no paralellized _blendv functiona and allows to compile with SSE2 instructions * * add interface function do enable disable M-estimator framework * bugfix blendv functions * * make use of _mm_store and _mm_load functions in blendv_ps and blendv_epi function to fix compiler error * * implement substitute of _mm_cvtepi8_epi16 and _mm_cvtepi16_epi32 when compiling with less than SSE 4.1 support * * implement substitute of _mm_abs_epi16 when compiling with less than SSE 3 support * * move _mm_abs_epi16 to SSE4 req. * * add HAL intrinsic functions for RLOF ICA * first tests are OK * * HAL intrinsic functions -> RLOF ICA is ready now * * add HAL functions for RLOF illumination model * * add HAL for PLK ILL * * add HAL functions for plk ica * * commit HAL functions for beplk ica * * add HAL functions for berlof ica * * add HAL functions for BEPLK ILL * *remove unused #ifdef * * remove white spaces and unused variables * * remove not used variables * + remove get4BitMask function which contained pure SEE instructions * * remove buffIdx which has not been used but initialized * * fix replacement of #ifdef CV_SIMD128 with #if CV_SIMD128 * rename useMEstimator to setUseMEstimator * *remove whitespace * * remove unused variable abss * * remove unused value * * rename W_BITS1 to W_BITS since they contain same value
75 lines
2.8 KiB
C++
75 lines
2.8 KiB
C++
#include "perf_precomp.hpp"
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namespace opencv_test { namespace {
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typedef tuple<std::string, std::string, bool> ST_SR_IM_Sparse_t;
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typedef TestBaseWithParam<ST_SR_IM_Sparse_t> ST_SR_IM_Sparse;
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PERF_TEST_P(ST_SR_IM_Sparse, OpticalFlow_SparseRLOF,
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testing::Combine(
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testing::Values<std::string>("ST_BILINEAR", "ST_STANDART"),
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testing::Values<std::string>("SR_CROSS", "SR_FIXED"),
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testing::Values(true, false))
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)
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{
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Mat frame1 = imread(getDataPath("cv/optflow/RubberWhale1.png"));
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Mat frame2 = imread(getDataPath("cv/optflow/RubberWhale2.png"));
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ASSERT_FALSE(frame1.empty());
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ASSERT_FALSE(frame2.empty());
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vector<Point2f> prevPts, currPts;
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for (int r = 0; r < frame1.rows; r += 10)
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{
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for (int c = 0; c < frame1.cols; c += 10)
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{
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prevPts.push_back(Point2f(static_cast<float>(c), static_cast<float>(r)));
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}
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}
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vector<uchar> status(prevPts.size());
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vector<float> err(prevPts.size());
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Ptr<RLOFOpticalFlowParameter> param = Ptr<RLOFOpticalFlowParameter>(new RLOFOpticalFlowParameter);
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if (get<0>(GetParam()) == "ST_BILINEAR")
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param->solverType = ST_BILINEAR;
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if (get<0>(GetParam()) == "ST_STANDART")
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param->solverType = ST_STANDART;
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if (get<1>(GetParam()) == "SR_CROSS")
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param->supportRegionType = SR_CROSS;
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if (get<1>(GetParam()) == "SR_FIXED")
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param->supportRegionType = SR_FIXED;
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param->useIlluminationModel = get<2>(GetParam());
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PERF_SAMPLE_BEGIN()
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calcOpticalFlowSparseRLOF(frame1, frame2, prevPts, currPts, status, err, param, 1.f);
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PERF_SAMPLE_END()
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SANITY_CHECK_NOTHING();
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}
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typedef tuple<std::string, int> INTERP_GRID_Dense_t;
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typedef TestBaseWithParam<INTERP_GRID_Dense_t> INTERP_GRID_Dense;
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PERF_TEST_P(INTERP_GRID_Dense, OpticalFlow_DenseRLOF,
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testing::Combine(
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testing::Values<std::string>("INTERP_EPIC", "INTERP_GEO", "INTERP_RIC"),
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testing::Values<int>(4,10))
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)
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{
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Mat flow;
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Mat frame1 = imread(getDataPath("cv/optflow/RubberWhale1.png"));
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Mat frame2 = imread(getDataPath("cv/optflow/RubberWhale1.png"));
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ASSERT_FALSE(frame1.empty());
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ASSERT_FALSE(frame2.empty());
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Ptr<RLOFOpticalFlowParameter> param = Ptr<RLOFOpticalFlowParameter>(new RLOFOpticalFlowParameter);;
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Ptr< DenseRLOFOpticalFlow> algo = DenseRLOFOpticalFlow::create();
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InterpolationType interp_type = INTERP_EPIC;
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if (get<0>(GetParam()) == "INTERP_EPIC")
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interp_type = INTERP_EPIC;
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if (get<0>(GetParam()) == "INTERP_GEO")
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interp_type = INTERP_GEO;
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if (get<0>(GetParam()) == "INTERP_RIC")
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interp_type = INTERP_RIC;
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PERF_SAMPLE_BEGIN()
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calcOpticalFlowDenseRLOF(frame1, frame2,flow, param, 1.0f, Size(get<1>(GetParam()), get<1>(GetParam())), interp_type);
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PERF_SAMPLE_END()
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SANITY_CHECK_NOTHING();
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}
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}} // namespace
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