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[moved from opencv] Fix Farneback Optical Flow Algorithm
- Before this PR, following tests failed on some platform.
CUDA_OptFlow/FarnebackOpticalFlow.Accuracy/19
CUDA_OptFlow/FarnebackOpticalFlow.Accuracy/23
- The algorithm now recognizes the OPTFLOW_USE_INITIAL_FLOW flag.
Previously, when the flag was set, it did not use the flow data
passed as input, instead used some garbage data in memory.
- More strict test limit.
original commit: 4366c8734f
This commit is contained in:
@@ -165,10 +165,29 @@ namespace
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{
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const GpuMat frame0 = _frame0.getGpuMat();
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const GpuMat frame1 = _frame1.getGpuMat();
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GpuMat flow = _flow.getGpuMat();
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BufferPool pool(stream);
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GpuMat flowx = pool.getBuffer(frame0.size(), CV_32FC1);
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GpuMat flowy = pool.getBuffer(frame0.size(), CV_32FC1);
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CV_Assert(frame0.channels() == 1 && frame1.channels() == 1);
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CV_Assert(frame0.size() == frame1.size());
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GpuMat flowx, flowy;
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// If flag is set, check for integrity; if not set, allocate memory space
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if (flags_ & OPTFLOW_USE_INITIAL_FLOW)
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{
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CV_Assert(flow.size() == frame0.size() && flow.channels() == 2 &&
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flow.depth() == CV_32F);
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std::vector<cuda::GpuMat> _flows(2);
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cuda::split(flow, _flows, stream);
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flowx = _flows[0];
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flowy = _flows[1];
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}
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else
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{
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flowx.create(frame0.size(), CV_32FC1);
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flowy.create(frame0.size(), CV_32FC1);
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}
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calcImpl(frame0, frame1, flowx, flowy, stream);
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@@ -291,8 +310,6 @@ namespace
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void FarnebackOpticalFlowImpl::calcImpl(const GpuMat &frame0, const GpuMat &frame1, GpuMat &flowx, GpuMat &flowy, Stream &stream)
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{
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CV_Assert(frame0.channels() == 1 && frame1.channels() == 1);
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CV_Assert(frame0.size() == frame1.size());
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CV_Assert(polyN_ == 5 || polyN_ == 7);
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CV_Assert(!fastPyramids_ || std::abs(pyrScale_ - 0.5) < 1e-6);
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@@ -303,8 +320,6 @@ namespace
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Size size = frame0.size();
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GpuMat prevFlowX, prevFlowY, curFlowX, curFlowY;
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flowx.create(size, CV_32F);
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flowy.create(size, CV_32F);
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GpuMat flowx0 = flowx;
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GpuMat flowy0 = flowy;
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@@ -337,7 +337,15 @@ CUDA_TEST_P(FarnebackOpticalFlow, Accuracy)
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frame0, frame1, flow, farn->getPyrScale(), farn->getNumLevels(), farn->getWinSize(),
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farn->getNumIters(), farn->getPolyN(), farn->getPolySigma(), farn->getFlags());
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EXPECT_MAT_SIMILAR(flow, d_flow, 0.1);
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// Relax test limit when the flag is set
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if (farn->getFlags() & cv::OPTFLOW_FARNEBACK_GAUSSIAN)
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{
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EXPECT_MAT_SIMILAR(flow, d_flow, 2e-2);
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}
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else
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{
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EXPECT_MAT_SIMILAR(flow, d_flow, 1e-4);
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}
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}
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INSTANTIATE_TEST_CASE_P(CUDA_OptFlow, FarnebackOpticalFlow, testing::Combine(
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