fast optical flow bm implementation
This commit is contained in:
Vladislav Vinogradov
parent
caf91ac159
commit
da017fbeb9
@ -94,13 +94,13 @@ PERF_TEST_P(Image, HoughLinesP,
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{
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cv::gpu::GpuMat d_image(image);
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cv::gpu::GpuMat d_lines;
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cv::gpu::CannyBuf d_buf;
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cv::gpu::HoughLinesBuf d_buf;
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cv::gpu::HoughLinesP(d_image, d_lines, d_buf, minLineLenght, maxLineGap);
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cv::gpu::HoughLinesP(d_image, d_lines, d_buf, rho, theta, minLineLenght, maxLineGap);
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TEST_CYCLE()
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{
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cv::gpu::HoughLinesP(d_image, d_lines, d_buf, minLineLenght, maxLineGap);
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cv::gpu::HoughLinesP(d_image, d_lines, d_buf, rho, theta, minLineLenght, maxLineGap);
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}
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}
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else
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@ -434,3 +434,56 @@ PERF_TEST_P(ImagePair_BlockSize_ShiftSize_MaxRange, OpticalFlowBM,
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SANITY_CHECK(0);
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}
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PERF_TEST_P(ImagePair_BlockSize_ShiftSize_MaxRange, FastOpticalFlowBM,
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testing::Combine(
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testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
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testing::Values(cv::Size(16, 16)),
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testing::Values(cv::Size(1, 1)),
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testing::Values(cv::Size(16, 16))
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))
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{
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declare.time(1000);
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const string_pair fileNames = std::tr1::get<0>(GetParam());
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const cv::Size block_size = std::tr1::get<1>(GetParam());
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const cv::Size shift_size = std::tr1::get<2>(GetParam());
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const cv::Size max_range = std::tr1::get<3>(GetParam());
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cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
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if (src1.empty())
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FAIL() << "Unable to load source image [" << fileNames.first << "]";
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cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
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if (src2.empty())
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FAIL() << "Unable to load source image [" << fileNames.second << "]";
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_src1(src1);
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cv::gpu::GpuMat d_src2(src2);
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cv::gpu::GpuMat d_velx, d_vely;
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cv::gpu::FastOpticalFlowBM fastBM;
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fastBM(d_src1, d_src2, d_velx, d_vely, max_range.width, block_size.width);
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TEST_CYCLE_N(10)
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{
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fastBM(d_src1, d_src2, d_velx, d_vely, max_range.width, block_size.width);
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}
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}
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else
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{
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cv::Mat velx, vely;
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calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
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TEST_CYCLE_N(10)
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{
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calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
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}
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}
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SANITY_CHECK(0);
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}
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@ -2129,6 +2129,17 @@ CV_EXPORTS void calcOpticalFlowBM(const GpuMat& prev, const GpuMat& curr,
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GpuMat& velx, GpuMat& vely, GpuMat& buf,
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Stream& stream = Stream::Null());
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class CV_EXPORTS FastOpticalFlowBM
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{
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public:
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void operator ()(const GpuMat& I0, const GpuMat& I1, GpuMat& flowx, GpuMat& flowy, int search_window = 21, int block_window = 7, Stream& s = Stream::Null());
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private:
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GpuMat buffer;
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GpuMat extended_I0;
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GpuMat extended_I1;
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};
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//! Interpolate frames (images) using provided optical flow (displacement field).
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//! frame0 - frame 0 (32-bit floating point images, single channel)
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@ -512,6 +512,55 @@ PERF_TEST_P(ImagePair, Video_OpticalFlowBM,
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}
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}
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PERF_TEST_P(ImagePair, Video_FastOpticalFlowBM,
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Values<pair_string>(make_pair("gpu/opticalflow/frame0.png", "gpu/opticalflow/frame1.png")))
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{
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declare.time(400);
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cv::Mat frame0 = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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cv::Mat frame1 = readImage(GetParam().second, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty());
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cv::Size block_size(16, 16);
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cv::Size shift_size(1, 1);
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cv::Size max_range(16, 16);
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat d_frame0(frame0);
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cv::gpu::GpuMat d_frame1(frame1);
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cv::gpu::GpuMat d_velx, d_vely;
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cv::gpu::FastOpticalFlowBM fastBM;
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fastBM(d_frame0, d_frame1, d_velx, d_vely, max_range.width, block_size.width);
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TEST_CYCLE()
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{
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fastBM(d_frame0, d_frame1, d_velx, d_vely, max_range.width, block_size.width);
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}
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GPU_SANITY_CHECK(d_velx);
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GPU_SANITY_CHECK(d_vely);
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}
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else
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{
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cv::Mat velx, vely;
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calcOpticalFlowBM(frame0, frame1, block_size, shift_size, max_range, false, velx, vely);
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TEST_CYCLE()
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{
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calcOpticalFlowBM(frame0, frame1, block_size, shift_size, max_range, false, velx, vely);
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}
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CPU_SANITY_CHECK(velx);
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CPU_SANITY_CHECK(vely);
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}
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}
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//////////////////////////////////////////////////////
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// FGDStatModel
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@ -44,6 +44,8 @@
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#include "opencv2/gpu/device/common.hpp"
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#include "opencv2/gpu/device/limits.hpp"
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#include "opencv2/gpu/device/functional.hpp"
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#include "opencv2/gpu/device/reduce.hpp"
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using namespace cv::gpu;
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using namespace cv::gpu::device;
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@ -164,4 +166,249 @@ namespace optflowbm
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}
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}
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/////////////////////////////////////////////////////////
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// Fast approximate version
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namespace optflowbm_fast
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{
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enum
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{
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CTA_SIZE = 128,
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TILE_COLS = 128,
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TILE_ROWS = 32,
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STRIDE = CTA_SIZE
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};
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template <typename T> __device__ __forceinline__ int calcDist(T a, T b)
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{
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return ::abs(a - b);
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}
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template <class T> struct FastOptFlowBM
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{
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int search_radius;
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int block_radius;
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int search_window;
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int block_window;
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PtrStepSz<T> I0;
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PtrStep<T> I1;
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mutable PtrStepi buffer;
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FastOptFlowBM(int search_window_, int block_window_,
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PtrStepSz<T> I0_, PtrStepSz<T> I1_,
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PtrStepi buffer_) :
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search_radius(search_window_ / 2), block_radius(block_window_ / 2),
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search_window(search_window_), block_window(block_window_),
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I0(I0_), I1(I1_),
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buffer(buffer_)
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{
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}
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__device__ void initSums_BruteForce(int i, int j, int* dist_sums, PtrStepi& col_sums, PtrStepi& up_col_sums) const
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{
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for (int index = threadIdx.x; index < search_window * search_window; index += STRIDE)
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{
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dist_sums[index] = 0;
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for (int tx = 0; tx < block_window; ++tx)
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col_sums(tx, index) = 0;
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int y = index / search_window;
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int x = index - y * search_window;
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int ay = i;
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int ax = j;
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int by = i + y - search_radius;
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int bx = j + x - search_radius;
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for (int tx = -block_radius; tx <= block_radius; ++tx)
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{
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int col_sum = 0;
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for (int ty = -block_radius; ty <= block_radius; ++ty)
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{
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int dist = calcDist(I0(ay + ty, ax + tx), I1(by + ty, bx + tx));
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dist_sums[index] += dist;
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col_sum += dist;
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}
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col_sums(tx + block_radius, index) = col_sum;
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}
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up_col_sums(j, index) = col_sums(block_window - 1, index);
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}
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}
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__device__ void shiftRight_FirstRow(int i, int j, int first, int* dist_sums, PtrStepi& col_sums, PtrStepi& up_col_sums) const
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{
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for (int index = threadIdx.x; index < search_window * search_window; index += STRIDE)
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{
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int y = index / search_window;
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int x = index - y * search_window;
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int ay = i;
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int ax = j + block_radius;
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int by = i + y - search_radius;
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int bx = j + x - search_radius + block_radius;
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int col_sum = 0;
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for (int ty = -block_radius; ty <= block_radius; ++ty)
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col_sum += calcDist(I0(ay + ty, ax), I1(by + ty, bx));
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dist_sums[index] += col_sum - col_sums(first, index);
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col_sums(first, index) = col_sum;
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up_col_sums(j, index) = col_sum;
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}
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}
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__device__ void shiftRight_UpSums(int i, int j, int first, int* dist_sums, PtrStepi& col_sums, PtrStepi& up_col_sums) const
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{
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int ay = i;
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int ax = j + block_radius;
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T a_up = I0(ay - block_radius - 1, ax);
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T a_down = I0(ay + block_radius, ax);
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for(int index = threadIdx.x; index < search_window * search_window; index += STRIDE)
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{
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int y = index / search_window;
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int x = index - y * search_window;
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int by = i + y - search_radius;
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int bx = j + x - search_radius + block_radius;
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T b_up = I1(by - block_radius - 1, bx);
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T b_down = I1(by + block_radius, bx);
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int col_sum = up_col_sums(j, index) + calcDist(a_down, b_down) - calcDist(a_up, b_up);
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dist_sums[index] += col_sum - col_sums(first, index);
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col_sums(first, index) = col_sum;
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up_col_sums(j, index) = col_sum;
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}
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}
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__device__ void convolve_window(int i, int j, const int* dist_sums, float& velx, float& vely) const
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{
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int bestDist = numeric_limits<int>::max();
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int bestInd = -1;
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for (int index = threadIdx.x; index < search_window * search_window; index += STRIDE)
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{
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int curDist = dist_sums[index];
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if (curDist < bestDist)
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{
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bestDist = curDist;
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bestInd = index;
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}
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}
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__shared__ int cta_dist_buffer[CTA_SIZE];
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__shared__ int cta_ind_buffer[CTA_SIZE];
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reduceKeyVal<CTA_SIZE>(cta_dist_buffer, bestDist, cta_ind_buffer, bestInd, threadIdx.x, less<int>());
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if (threadIdx.x == 0)
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{
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int y = bestInd / search_window;
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int x = bestInd - y * search_window;
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velx = x - search_radius;
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vely = y - search_radius;
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}
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}
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__device__ void operator()(PtrStepf velx, PtrStepf vely) const
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{
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int tbx = blockIdx.x * TILE_COLS;
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int tby = blockIdx.y * TILE_ROWS;
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int tex = ::min(tbx + TILE_COLS, I0.cols);
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int tey = ::min(tby + TILE_ROWS, I0.rows);
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PtrStepi col_sums;
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col_sums.data = buffer.ptr(I0.cols + blockIdx.x * block_window) + blockIdx.y * search_window * search_window;
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col_sums.step = buffer.step;
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PtrStepi up_col_sums;
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up_col_sums.data = buffer.data + blockIdx.y * search_window * search_window;
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up_col_sums.step = buffer.step;
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extern __shared__ int dist_sums[]; //search_window * search_window
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int first = 0;
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for (int i = tby; i < tey; ++i)
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{
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for (int j = tbx; j < tex; ++j)
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{
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__syncthreads();
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if (j == tbx)
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{
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initSums_BruteForce(i, j, dist_sums, col_sums, up_col_sums);
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first = 0;
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}
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else
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{
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if (i == tby)
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shiftRight_FirstRow(i, j, first, dist_sums, col_sums, up_col_sums);
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else
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shiftRight_UpSums(i, j, first, dist_sums, col_sums, up_col_sums);
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first = (first + 1) % block_window;
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}
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__syncthreads();
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convolve_window(i, j, dist_sums, velx(i, j), vely(i, j));
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}
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}
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}
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};
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template<typename T> __global__ void optflowbm_fast_kernel(const FastOptFlowBM<T> fbm, PtrStepf velx, PtrStepf vely)
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{
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fbm(velx, vely);
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}
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void get_buffer_size(int src_cols, int src_rows, int search_window, int block_window, int& buffer_cols, int& buffer_rows)
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{
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dim3 grid(divUp(src_cols, TILE_COLS), divUp(src_rows, TILE_ROWS));
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buffer_cols = search_window * search_window * grid.y;
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buffer_rows = src_cols + block_window * grid.x;
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}
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template <typename T>
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void calc(PtrStepSzb I0, PtrStepSzb I1, PtrStepSzf velx, PtrStepSzf vely, PtrStepi buffer, int search_window, int block_window, cudaStream_t stream)
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{
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FastOptFlowBM<T> fbm(search_window, block_window, I0, I1, buffer);
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dim3 block(CTA_SIZE, 1);
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dim3 grid(divUp(I0.cols, TILE_COLS), divUp(I0.rows, TILE_ROWS));
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size_t smem = search_window * search_window * sizeof(int);
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optflowbm_fast_kernel<<<grid, block, smem, stream>>>(fbm, velx, vely);
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cudaSafeCall ( cudaGetLastError () );
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if (stream == 0)
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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template void calc<uchar>(PtrStepSzb I0, PtrStepSzb I1, PtrStepSzf velx, PtrStepSzf vely, PtrStepi buffer, int search_window, int block_window, cudaStream_t stream);
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}
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#endif // !defined CUDA_DISABLER
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@ -50,6 +50,8 @@ using namespace cv::gpu;
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void cv::gpu::calcOpticalFlowBM(const GpuMat&, const GpuMat&, Size, Size, Size, bool, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
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void cv::gpu::FastOpticalFlowBM::operator ()(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, int, int, Stream&) { throw_nogpu(); }
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#else // HAVE_CUDA
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namespace optflowbm
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@ -202,4 +204,40 @@ void cv::gpu::calcOpticalFlowBM(const GpuMat& prev, const GpuMat& curr, Size blo
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maxX, maxY, acceptLevel, escapeLevel, buf.ptr<short2>(), ssCount, stream);
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}
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namespace optflowbm_fast
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{
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void get_buffer_size(int src_cols, int src_rows, int search_window, int block_window, int& buffer_cols, int& buffer_rows);
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template <typename T>
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void calc(PtrStepSzb I0, PtrStepSzb I1, PtrStepSzf velx, PtrStepSzf vely, PtrStepi buffer, int search_window, int block_window, cudaStream_t stream);
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}
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void cv::gpu::FastOpticalFlowBM::operator ()(const GpuMat& I0, const GpuMat& I1, GpuMat& flowx, GpuMat& flowy, int search_window, int block_window, Stream& stream)
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{
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CV_Assert( I0.type() == CV_8UC1 );
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CV_Assert( I1.size() == I0.size() && I1.type() == I0.type() );
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int border_size = search_window / 2 + block_window / 2;
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Size esize = I0.size() + Size(border_size, border_size) * 2;
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ensureSizeIsEnough(esize, I0.type(), extended_I0);
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ensureSizeIsEnough(esize, I0.type(), extended_I1);
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copyMakeBorder(I0, extended_I0, border_size, border_size, border_size, border_size, cv::BORDER_DEFAULT, Scalar(), stream);
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copyMakeBorder(I1, extended_I1, border_size, border_size, border_size, border_size, cv::BORDER_DEFAULT, Scalar(), stream);
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|
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GpuMat I0_hdr = extended_I0(Rect(Point2i(border_size, border_size), I0.size()));
|
||||
GpuMat I1_hdr = extended_I1(Rect(Point2i(border_size, border_size), I0.size()));
|
||||
|
||||
int bcols, brows;
|
||||
optflowbm_fast::get_buffer_size(I0.cols, I0.rows, search_window, block_window, bcols, brows);
|
||||
|
||||
ensureSizeIsEnough(brows, bcols, CV_32SC1, buffer);
|
||||
|
||||
flowx.create(I0.size(), CV_32FC1);
|
||||
flowy.create(I0.size(), CV_32FC1);
|
||||
|
||||
optflowbm_fast::calc<uchar>(I0_hdr, I1_hdr, flowx, flowy, buffer, search_window, block_window, StreamAccessor::getStream(stream));
|
||||
}
|
||||
|
||||
#endif // HAVE_CUDA
|
||||
|
||||
@ -513,6 +513,121 @@ TEST_P(OpticalFlowBM, Accuracy)
|
||||
|
||||
INSTANTIATE_TEST_CASE_P(GPU_Video, OpticalFlowBM, ALL_DEVICES);
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// FastOpticalFlowBM
|
||||
|
||||
static void FastOpticalFlowBM_gold(const cv::Mat_<uchar>& I0, const cv::Mat_<uchar>& I1, cv::Mat_<float>& velx, cv::Mat_<float>& vely, int search_window, int block_window)
|
||||
{
|
||||
velx.create(I0.size());
|
||||
vely.create(I0.size());
|
||||
|
||||
int search_radius = search_window / 2;
|
||||
int block_radius = block_window / 2;
|
||||
|
||||
for (int y = 0; y < I0.rows; ++y)
|
||||
{
|
||||
for (int x = 0; x < I0.cols; ++x)
|
||||
{
|
||||
int bestDist = std::numeric_limits<int>::max();
|
||||
int bestDx = 0;
|
||||
int bestDy = 0;
|
||||
|
||||
for (int dy = -search_radius; dy <= search_radius; ++dy)
|
||||
{
|
||||
for (int dx = -search_radius; dx <= search_radius; ++dx)
|
||||
{
|
||||
int dist = 0;
|
||||
|
||||
for (int by = -block_radius; by <= block_radius; ++by)
|
||||
{
|
||||
for (int bx = -block_radius; bx <= block_radius; ++bx)
|
||||
{
|
||||
int I0_val = I0(cv::borderInterpolate(y + by, I0.rows, cv::BORDER_DEFAULT), cv::borderInterpolate(x + bx, I0.cols, cv::BORDER_DEFAULT));
|
||||
int I1_val = I1(cv::borderInterpolate(y + dy + by, I0.rows, cv::BORDER_DEFAULT), cv::borderInterpolate(x + dx + bx, I0.cols, cv::BORDER_DEFAULT));
|
||||
|
||||
dist += std::abs(I0_val - I1_val);
|
||||
}
|
||||
}
|
||||
|
||||
if (dist < bestDist)
|
||||
{
|
||||
bestDist = dist;
|
||||
bestDx = dx;
|
||||
bestDy = dy;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
velx(y, x) = bestDx;
|
||||
vely(y, x) = bestDy;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
static double calc_rmse(const cv::Mat_<float>& flow1, const cv::Mat_<float>& flow2)
|
||||
{
|
||||
double sum = 0.0;
|
||||
|
||||
for (int y = 0; y < flow1.rows; ++y)
|
||||
{
|
||||
for (int x = 0; x < flow1.cols; ++x)
|
||||
{
|
||||
double diff = flow1(y, x) - flow2(y, x);
|
||||
sum += diff * diff;
|
||||
}
|
||||
}
|
||||
|
||||
return std::sqrt(sum / flow1.size().area());
|
||||
}
|
||||
|
||||
struct FastOpticalFlowBM : testing::TestWithParam<cv::gpu::DeviceInfo>
|
||||
{
|
||||
};
|
||||
|
||||
TEST_P(FastOpticalFlowBM, Accuracy)
|
||||
{
|
||||
const double MAX_RMSE = 0.6;
|
||||
|
||||
int search_window = 15;
|
||||
int block_window = 5;
|
||||
|
||||
cv::gpu::DeviceInfo devInfo = GetParam();
|
||||
cv::gpu::setDevice(devInfo.deviceID());
|
||||
|
||||
cv::Mat frame0 = readImage("opticalflow/rubberwhale1.png", cv::IMREAD_GRAYSCALE);
|
||||
ASSERT_FALSE(frame0.empty());
|
||||
|
||||
cv::Mat frame1 = readImage("opticalflow/rubberwhale2.png", cv::IMREAD_GRAYSCALE);
|
||||
ASSERT_FALSE(frame1.empty());
|
||||
|
||||
cv::Size smallSize(320, 240);
|
||||
cv::Mat frame0_small;
|
||||
cv::Mat frame1_small;
|
||||
|
||||
cv::resize(frame0, frame0_small, smallSize);
|
||||
cv::resize(frame1, frame1_small, smallSize);
|
||||
|
||||
cv::gpu::GpuMat d_flowx;
|
||||
cv::gpu::GpuMat d_flowy;
|
||||
cv::gpu::FastOpticalFlowBM fastBM;
|
||||
|
||||
fastBM(loadMat(frame0_small), loadMat(frame1_small), d_flowx, d_flowy, search_window, block_window);
|
||||
|
||||
cv::Mat_<float> flowx;
|
||||
cv::Mat_<float> flowy;
|
||||
FastOpticalFlowBM_gold(frame0_small, frame1_small, flowx, flowy, search_window, block_window);
|
||||
|
||||
double err;
|
||||
|
||||
err = calc_rmse(flowx, cv::Mat(d_flowx));
|
||||
EXPECT_LE(err, MAX_RMSE);
|
||||
|
||||
err = calc_rmse(flowy, cv::Mat(d_flowy));
|
||||
EXPECT_LE(err, MAX_RMSE);
|
||||
}
|
||||
|
||||
INSTANTIATE_TEST_CASE_P(GPU_Video, FastOpticalFlowBM, ALL_DEVICES);
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// FGDStatModel
|
||||
|
||||
|
||||
@ -121,6 +121,17 @@ static void drawOpticalFlow(const Mat_<float>& flowx, const Mat_<float>& flowy,
|
||||
}
|
||||
}
|
||||
|
||||
static void showFlow(const char* name, const GpuMat& d_flowx, const GpuMat& d_flowy)
|
||||
{
|
||||
Mat flowx(d_flowx);
|
||||
Mat flowy(d_flowy);
|
||||
|
||||
Mat out;
|
||||
drawOpticalFlow(flowx, flowy, out, 10);
|
||||
|
||||
imshow(name, out);
|
||||
}
|
||||
|
||||
int main(int argc, const char* argv[])
|
||||
{
|
||||
if (argc < 3)
|
||||
@ -152,20 +163,90 @@ int main(int argc, const char* argv[])
|
||||
GpuMat d_frame0(frame0);
|
||||
GpuMat d_frame1(frame1);
|
||||
|
||||
GpuMat d_flowx, d_flowy;
|
||||
GpuMat d_flowx(frame0.size(), CV_32FC1);
|
||||
GpuMat d_flowy(frame0.size(), CV_32FC1);
|
||||
|
||||
BroxOpticalFlow brox(0.197, 50.0, 0.8, 10, 77, 10);
|
||||
PyrLKOpticalFlow lk; lk.winSize = Size(7, 7);
|
||||
FarnebackOpticalFlow farn;
|
||||
OpticalFlowDual_TVL1_GPU tvl1;
|
||||
FastOpticalFlowBM fastBM;
|
||||
|
||||
const double start = getTickCount();
|
||||
tvl1(d_frame0, d_frame1, d_flowx, d_flowy);
|
||||
const double timeSec = (getTickCount() - start) / getTickFrequency();
|
||||
cout << "Time : " << timeSec << " sec" << endl;
|
||||
{
|
||||
GpuMat d_frame0f;
|
||||
GpuMat d_frame1f;
|
||||
|
||||
Mat flowx(d_flowx);
|
||||
Mat flowy(d_flowy);
|
||||
Mat out;
|
||||
drawOpticalFlow(flowx, flowy, out);
|
||||
d_frame0.convertTo(d_frame0f, CV_32F, 1.0 / 255.0);
|
||||
d_frame1.convertTo(d_frame1f, CV_32F, 1.0 / 255.0);
|
||||
|
||||
imshow("Flow", out);
|
||||
const double start = getTickCount();
|
||||
|
||||
brox(d_frame0f, d_frame1f, d_flowx, d_flowy);
|
||||
|
||||
const double timeSec = (getTickCount() - start) / getTickFrequency();
|
||||
cout << "Brox : " << timeSec << " sec" << endl;
|
||||
|
||||
showFlow("Brox", d_flowx, d_flowy);
|
||||
}
|
||||
|
||||
{
|
||||
const double start = getTickCount();
|
||||
|
||||
lk.dense(d_frame0, d_frame1, d_flowx, d_flowy);
|
||||
|
||||
const double timeSec = (getTickCount() - start) / getTickFrequency();
|
||||
cout << "LK : " << timeSec << " sec" << endl;
|
||||
|
||||
showFlow("LK", d_flowx, d_flowy);
|
||||
}
|
||||
|
||||
{
|
||||
const double start = getTickCount();
|
||||
|
||||
farn(d_frame0, d_frame1, d_flowx, d_flowy);
|
||||
|
||||
const double timeSec = (getTickCount() - start) / getTickFrequency();
|
||||
cout << "Farn : " << timeSec << " sec" << endl;
|
||||
|
||||
showFlow("Farn", d_flowx, d_flowy);
|
||||
}
|
||||
|
||||
{
|
||||
const double start = getTickCount();
|
||||
|
||||
tvl1(d_frame0, d_frame1, d_flowx, d_flowy);
|
||||
|
||||
const double timeSec = (getTickCount() - start) / getTickFrequency();
|
||||
cout << "TVL1 : " << timeSec << " sec" << endl;
|
||||
|
||||
showFlow("TVL1", d_flowx, d_flowy);
|
||||
}
|
||||
|
||||
{
|
||||
const double start = getTickCount();
|
||||
|
||||
GpuMat buf;
|
||||
calcOpticalFlowBM(d_frame0, d_frame1, Size(7, 7), Size(1, 1), Size(21, 21), false, d_flowx, d_flowy, buf);
|
||||
|
||||
const double timeSec = (getTickCount() - start) / getTickFrequency();
|
||||
cout << "BM : " << timeSec << " sec" << endl;
|
||||
|
||||
showFlow("BM", d_flowx, d_flowy);
|
||||
}
|
||||
|
||||
{
|
||||
const double start = getTickCount();
|
||||
|
||||
fastBM(d_frame0, d_frame1, d_flowx, d_flowy);
|
||||
|
||||
const double timeSec = (getTickCount() - start) / getTickFrequency();
|
||||
cout << "Fast BM : " << timeSec << " sec" << endl;
|
||||
|
||||
showFlow("Fast BM", d_flowx, d_flowy);
|
||||
}
|
||||
|
||||
imshow("Frame 0", frame0);
|
||||
imshow("Frame 1", frame1);
|
||||
waitKey();
|
||||
|
||||
return 0;
|
||||
Loading…
x
Reference in New Issue
Block a user