Commit f392ab0e authored by Vladislav Vinogradov's avatar Vladislav Vinogradov

new implementation of gpu::PyrLKOpticalFlow::sparse (1.5 - 2x faster)

parent 33d9e235
......@@ -204,10 +204,7 @@ Class used for calculating an optical flow. ::
Size winSize;
int maxLevel;
int iters;
double derivLambda;
bool useInitialFlow;
float minEigThreshold;
bool getMinEigenVals;
void releaseMemory();
};
......
......@@ -1749,60 +1749,28 @@ inline GoodFeaturesToTrackDetector_GPU::GoodFeaturesToTrackDetector_GPU(int maxC
class CV_EXPORTS PyrLKOpticalFlow
{
public:
PyrLKOpticalFlow()
{
winSize = Size(21, 21);
maxLevel = 3;
iters = 30;
useInitialFlow = false;
minEigThreshold = 1e-4f;
getMinEigenVals = false;
isDeviceArch11_ = !DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
}
PyrLKOpticalFlow();
void sparse(const GpuMat& prevImg, const GpuMat& nextImg, const GpuMat& prevPts, GpuMat& nextPts,
GpuMat& status, GpuMat* err = 0);
void dense(const GpuMat& prevImg, const GpuMat& nextImg, GpuMat& u, GpuMat& v, GpuMat* err = 0);
void releaseMemory();
Size winSize;
int maxLevel;
int iters;
bool useInitialFlow;
float minEigThreshold;
bool getMinEigenVals;
void releaseMemory()
{
dx_calcBuf_.release();
dy_calcBuf_.release();
prevPyr_.clear();
nextPyr_.clear();
dx_buf_.release();
dy_buf_.release();
uPyr_.clear();
vPyr_.clear();
}
private:
void calcSharrDeriv(const GpuMat& src, GpuMat& dx, GpuMat& dy);
void buildImagePyramid(const GpuMat& img0, vector<GpuMat>& pyr, bool withBorder);
GpuMat dx_calcBuf_;
GpuMat dy_calcBuf_;
vector<GpuMat> prevPyr_;
vector<GpuMat> nextPyr_;
GpuMat dx_buf_;
GpuMat dy_buf_;
GpuMat buf_;
vector<GpuMat> uPyr_;
vector<GpuMat> vPyr_;
GpuMat uPyr_[2];
GpuMat vPyr_[2];
bool isDeviceArch11_;
};
......
......@@ -156,15 +156,19 @@ INSTANTIATE_TEST_CASE_P(Video, GoodFeaturesToTrack, testing::Combine(
IMPLEMENT_PARAM_CLASS(GraySource, bool)
IMPLEMENT_PARAM_CLASS(Points, int)
IMPLEMENT_PARAM_CLASS(WinSize, int)
IMPLEMENT_PARAM_CLASS(Levels, int)
IMPLEMENT_PARAM_CLASS(Iters, int)
GPU_PERF_TEST(PyrLKOpticalFlowSparse, cv::gpu::DeviceInfo, GraySource, Points, WinSize)
GPU_PERF_TEST(PyrLKOpticalFlowSparse, cv::gpu::DeviceInfo, GraySource, Points, WinSize, Levels, Iters)
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
bool useGray = GET_PARAM(1);
int points = GET_PARAM(2);
int win_size = GET_PARAM(3);
int winSize = GET_PARAM(3);
int levels = GET_PARAM(4);
int iters = GET_PARAM(5);
cv::Mat frame0_host = readImage("gpu/opticalflow/frame0.png", useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
ASSERT_FALSE(frame0_host.empty());
......@@ -184,7 +188,9 @@ GPU_PERF_TEST(PyrLKOpticalFlowSparse, cv::gpu::DeviceInfo, GraySource, Points, W
detector(cv::gpu::GpuMat(gray_frame), pts);
cv::gpu::PyrLKOpticalFlow pyrLK;
pyrLK.winSize = cv::Size(win_size, win_size);
pyrLK.winSize = cv::Size(winSize, winSize);
pyrLK.maxLevel = levels - 1;
pyrLK.iters = iters;
cv::gpu::GpuMat frame0(frame0_host);
cv::gpu::GpuMat frame1(frame1_host);
......@@ -203,14 +209,13 @@ INSTANTIATE_TEST_CASE_P(Video, PyrLKOpticalFlowSparse, testing::Combine(
ALL_DEVICES,
testing::Values(GraySource(true), GraySource(false)),
testing::Values(Points(1000), Points(2000), Points(4000), Points(8000)),
testing::Values(WinSize(17), WinSize(21))));
testing::Values(WinSize(9), WinSize(13), WinSize(17), WinSize(21)),
testing::Values(Levels(1), Levels(2), Levels(3)),
testing::Values(Iters(1), Iters(10), Iters(30))));
//////////////////////////////////////////////////////
// PyrLKOpticalFlowDense
IMPLEMENT_PARAM_CLASS(Levels, int)
IMPLEMENT_PARAM_CLASS(Iters, int)
GPU_PERF_TEST(PyrLKOpticalFlowDense, cv::gpu::DeviceInfo, WinSize, Levels, Iters)
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
......
......@@ -34,12 +34,16 @@ INSTANTIATE_TEST_CASE_P(Video, GoodFeaturesToTrack, testing::Combine(
IMPLEMENT_PARAM_CLASS(GraySource, bool)
IMPLEMENT_PARAM_CLASS(Points, int)
IMPLEMENT_PARAM_CLASS(WinSize, int)
IMPLEMENT_PARAM_CLASS(Levels, int)
IMPLEMENT_PARAM_CLASS(Iters, int)
GPU_PERF_TEST(PyrLKOpticalFlowSparse, cv::gpu::DeviceInfo, GraySource, Points, WinSize)
GPU_PERF_TEST(PyrLKOpticalFlowSparse, cv::gpu::DeviceInfo, GraySource, Points, WinSize, Levels, Iters)
{
bool useGray = GET_PARAM(1);
int points = GET_PARAM(2);
int win_size = GET_PARAM(3);
int levels = GET_PARAM(4);
int iters = GET_PARAM(5);
cv::Mat frame0 = readImage("gpu/opticalflow/frame0.png", useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
ASSERT_FALSE(frame0.empty());
......@@ -59,11 +63,17 @@ GPU_PERF_TEST(PyrLKOpticalFlowSparse, cv::gpu::DeviceInfo, GraySource, Points, W
cv::Mat nextPts;
cv::Mat status;
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, cv::noArray(), cv::Size(win_size, win_size));
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, cv::noArray(),
cv::Size(win_size, win_size), levels - 1,
cv::TermCriteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, iters, 0.01));
declare.time(20.0);
TEST_CYCLE()
{
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, cv::noArray(), cv::Size(win_size, win_size));
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, cv::noArray(),
cv::Size(win_size, win_size), levels - 1,
cv::TermCriteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, iters, 0.01));
}
}
......@@ -71,7 +81,9 @@ INSTANTIATE_TEST_CASE_P(Video, PyrLKOpticalFlowSparse, testing::Combine(
ALL_DEVICES,
testing::Values(GraySource(true), GraySource(false)),
testing::Values(Points(1000), Points(2000), Points(4000), Points(8000)),
testing::Values(WinSize(17), WinSize(21))));
testing::Values(WinSize(9), WinSize(13), WinSize(17), WinSize(21)),
testing::Values(Levels(1), Levels(2), Levels(3)),
testing::Values(Iters(1), Iters(10), Iters(30))));
//////////////////////////////////////////////////////
// FarnebackOpticalFlowTest
......@@ -100,6 +112,7 @@ GPU_PERF_TEST_1(FarnebackOpticalFlowTest, cv::gpu::DeviceInfo)
TEST_CYCLE()
{
cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
}
}
......
This diff is collapsed.
......@@ -48,8 +48,10 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA)
cv::gpu::PyrLKOpticalFlow::PyrLKOpticalFlow() { throw_nogpu(); }
void cv::gpu::PyrLKOpticalFlow::sparse(const GpuMat&, const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat*) { throw_nogpu(); }
void cv::gpu::PyrLKOpticalFlow::dense(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, GpuMat*) { throw_nogpu(); }
void cv::gpu::PyrLKOpticalFlow::releaseMemory() {}
#else /* !defined (HAVE_CUDA) */
......@@ -57,13 +59,11 @@ namespace cv { namespace gpu { namespace device
{
namespace pyrlk
{
void loadConstants(int cn, float minEigThreshold, int2 winSize, int iters);
void loadConstants(int2 winSize, int iters);
void calcSharrDeriv_gpu(DevMem2Db src, DevMem2D_<short> dx_buf, DevMem2D_<short> dy_buf, DevMem2D_<short> dIdx, DevMem2D_<short> dIdy, int cn,
cudaStream_t stream = 0);
void lkSparse_gpu(DevMem2Db I, DevMem2Db J, DevMem2D_<short> dIdx, DevMem2D_<short> dIdy,
const float2* prevPts, float2* nextPts, uchar* status, float* err, bool GET_MIN_EIGENVALS, int ptcount,
void lkSparse1_gpu(DevMem2Df I, DevMem2Df J, const float2* prevPts, float2* nextPts, uchar* status, float* err, int ptcount,
int level, dim3 block, dim3 patch, cudaStream_t stream = 0);
void lkSparse4_gpu(DevMem2D_<float4> I, DevMem2D_<float4> J, const float2* prevPts, float2* nextPts, uchar* status, float* err, int ptcount,
int level, dim3 block, dim3 patch, cudaStream_t stream = 0);
void lkDense_gpu(DevMem2Db I, DevMem2Df J, DevMem2Df u, DevMem2Df v, DevMem2Df prevU, DevMem2Df prevV,
......@@ -71,65 +71,19 @@ namespace cv { namespace gpu { namespace device
}
}}}
void cv::gpu::PyrLKOpticalFlow::calcSharrDeriv(const GpuMat& src, GpuMat& dIdx, GpuMat& dIdy)
cv::gpu::PyrLKOpticalFlow::PyrLKOpticalFlow()
{
using namespace cv::gpu::device::pyrlk;
CV_Assert(src.rows > 1 && src.cols > 1);
CV_Assert(src.depth() == CV_8U);
const int cn = src.channels();
ensureSizeIsEnough(src.size(), CV_MAKETYPE(CV_16S, cn), dx_calcBuf_);
ensureSizeIsEnough(src.size(), CV_MAKETYPE(CV_16S, cn), dy_calcBuf_);
calcSharrDeriv_gpu(src, dx_calcBuf_, dy_calcBuf_, dIdx, dIdy, cn);
}
void cv::gpu::PyrLKOpticalFlow::buildImagePyramid(const GpuMat& img0, vector<GpuMat>& pyr, bool withBorder)
{
pyr.resize(maxLevel + 1);
Size sz = img0.size();
for (int level = 0; level <= maxLevel; ++level)
{
GpuMat temp;
if (withBorder)
{
temp.create(sz.height + winSize.height * 2, sz.width + winSize.width * 2, img0.type());
pyr[level] = temp(Rect(winSize.width, winSize.height, sz.width, sz.height));
}
else
{
ensureSizeIsEnough(sz, img0.type(), pyr[level]);
}
if (level == 0)
img0.copyTo(pyr[level]);
else
pyrDown(pyr[level - 1], pyr[level]);
if (withBorder)
copyMakeBorder(pyr[level], temp, winSize.height, winSize.height, winSize.width, winSize.width, BORDER_REFLECT_101);
sz = Size((sz.width + 1) / 2, (sz.height + 1) / 2);
if (sz.width <= winSize.width || sz.height <= winSize.height)
{
maxLevel = level;
break;
}
}
winSize = Size(21, 21);
maxLevel = 3;
iters = 30;
useInitialFlow = false;
isDeviceArch11_ = !DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
}
namespace
{
void calcPatchSize(cv::Size winSize, int cn, dim3& block, dim3& patch, bool isDeviceArch11)
void calcPatchSize(cv::Size winSize, dim3& block, dim3& patch, bool isDeviceArch11)
{
winSize.width *= cn;
if (winSize.width > 32 && winSize.width > 2 * winSize.height)
{
block.x = isDeviceArch11 ? 16 : 32;
......@@ -160,13 +114,13 @@ void cv::gpu::PyrLKOpticalFlow::sparse(const GpuMat& prevImg, const GpuMat& next
return;
}
const int cn = prevImg.channels();
dim3 block, patch;
calcPatchSize(winSize, cn, block, patch, isDeviceArch11_);
calcPatchSize(winSize, block, patch, isDeviceArch11_);
CV_Assert(maxLevel >= 0 && winSize.width > 2 && winSize.height > 2);
CV_Assert(prevImg.type() == CV_8UC1 || prevImg.type() == CV_8UC3 || prevImg.type() == CV_8UC4);
CV_Assert(prevImg.size() == nextImg.size() && prevImg.type() == nextImg.type());
CV_Assert(maxLevel >= 0);
CV_Assert(winSize.width > 2 && winSize.height > 2);
CV_Assert(patch.x > 0 && patch.x < 6 && patch.y > 0 && patch.y < 6);
CV_Assert(prevPts.rows == 1 && prevPts.type() == CV_32FC2);
......@@ -186,35 +140,48 @@ void cv::gpu::PyrLKOpticalFlow::sparse(const GpuMat& prevImg, const GpuMat& next
ensureSizeIsEnough(1, prevPts.cols, CV_32FC1, *err);
// build the image pyramids.
// we pad each level with +/-winSize.{width|height}
// pixels to simplify the further patch extraction.
buildImagePyramid(prevImg, prevPyr_, true);
buildImagePyramid(nextImg, nextPyr_, true);
prevPyr_.resize(maxLevel + 1);
nextPyr_.resize(maxLevel + 1);
// dI/dx ~ Ix, dI/dy ~ Iy
int cn = prevImg.channels();
ensureSizeIsEnough(prevImg.rows + winSize.height * 2, prevImg.cols + winSize.width * 2, CV_MAKETYPE(CV_16S, cn), dx_buf_);
ensureSizeIsEnough(prevImg.rows + winSize.height * 2, prevImg.cols + winSize.width * 2, CV_MAKETYPE(CV_16S, cn), dy_buf_);
if (cn == 1 || cn == 4)
{
prevImg.convertTo(prevPyr_[0], CV_32F);
nextImg.convertTo(nextPyr_[0], CV_32F);
}
else
{
cvtColor(prevImg, buf_, COLOR_BGR2BGRA);
buf_.convertTo(prevPyr_[0], CV_32F);
loadConstants(cn, minEigThreshold, make_int2(winSize.width, winSize.height), iters);
cvtColor(nextImg, buf_, COLOR_BGR2BGRA);
buf_.convertTo(nextPyr_[0], CV_32F);
}
for (int level = maxLevel; level >= 0; level--)
for (int level = 1; level <= maxLevel; ++level)
{
Size imgSize = prevPyr_[level].size();
GpuMat dxWhole(imgSize.height + winSize.height * 2, imgSize.width + winSize.width * 2, dx_buf_.type(), dx_buf_.data, dx_buf_.step);
GpuMat dyWhole(imgSize.height + winSize.height * 2, imgSize.width + winSize.width * 2, dy_buf_.type(), dy_buf_.data, dy_buf_.step);
dxWhole.setTo(Scalar::all(0));
dyWhole.setTo(Scalar::all(0));
GpuMat dIdx = dxWhole(Rect(winSize.width, winSize.height, imgSize.width, imgSize.height));
GpuMat dIdy = dyWhole(Rect(winSize.width, winSize.height, imgSize.width, imgSize.height));
pyrDown(prevPyr_[level - 1], prevPyr_[level]);
pyrDown(nextPyr_[level - 1], nextPyr_[level]);
}
calcSharrDeriv(prevPyr_[level], dIdx, dIdy);
loadConstants(make_int2(winSize.width, winSize.height), iters);
lkSparse_gpu(prevPyr_[level], nextPyr_[level], dIdx, dIdy,
prevPts.ptr<float2>(), nextPts.ptr<float2>(), status.ptr(), level == 0 && err ? err->ptr<float>() : 0, getMinEigenVals, prevPts.cols,
level, block, patch);
for (int level = maxLevel; level >= 0; level--)
{
if (cn == 1)
{
lkSparse1_gpu(prevPyr_[level], nextPyr_[level],
prevPts.ptr<float2>(), nextPts.ptr<float2>(), status.ptr(), level == 0 && err ? err->ptr<float>() : 0, prevPts.cols,
level, block, patch);
}
else
{
lkSparse4_gpu(prevPyr_[level], nextPyr_[level],
prevPts.ptr<float2>(), nextPts.ptr<float2>(), status.ptr(), level == 0 && err ? err->ptr<float>() : 0, prevPts.cols,
level, block, patch);
}
}
}
......@@ -232,15 +199,17 @@ void cv::gpu::PyrLKOpticalFlow::dense(const GpuMat& prevImg, const GpuMat& nextI
// build the image pyramids.
buildImagePyramid(prevImg, prevPyr_, false);
prevPyr_.resize(maxLevel + 1);
nextPyr_.resize(maxLevel + 1);
prevPyr_[0] = prevImg;
nextImg.convertTo(nextPyr_[0], CV_32F);
for (int level = 1; level <= maxLevel; ++level)
{
pyrDown(prevPyr_[level - 1], prevPyr_[level]);
pyrDown(nextPyr_[level - 1], nextPyr_[level]);
uPyr_.resize(2);
vPyr_.resize(2);
}
ensureSizeIsEnough(prevImg.size(), CV_32FC1, uPyr_[0]);
ensureSizeIsEnough(prevImg.size(), CV_32FC1, vPyr_[0]);
......@@ -250,7 +219,7 @@ void cv::gpu::PyrLKOpticalFlow::dense(const GpuMat& prevImg, const GpuMat& nextI
vPyr_[1].setTo(Scalar::all(0));
int2 winSize2i = make_int2(winSize.width, winSize.height);
loadConstants(1, minEigThreshold, winSize2i, iters);
loadConstants(winSize2i, iters);
DevMem2Df derr = err ? *err : DevMem2Df();
......@@ -271,4 +240,18 @@ void cv::gpu::PyrLKOpticalFlow::dense(const GpuMat& prevImg, const GpuMat& nextI
vPyr_[idx].copyTo(v);
}
void cv::gpu::PyrLKOpticalFlow::releaseMemory()
{
prevPyr_.clear();
nextPyr_.clear();
buf_.release();
uPyr_[0].release();
vPyr_[0].release();
uPyr_[1].release();
vPyr_[1].release();
}
#endif /* !defined (HAVE_CUDA) */
......@@ -249,8 +249,7 @@ TEST_P(PyrLKOpticalFlow, Sparse)
cv::gpu::GpuMat d_nextPts;
cv::gpu::GpuMat d_status;
cv::gpu::GpuMat d_err;
pyrLK.sparse(loadMat(frame0), loadMat(frame1), d_pts, d_nextPts, d_status, &d_err);
pyrLK.sparse(loadMat(frame0), loadMat(frame1), d_pts, d_nextPts, d_status);
std::vector<cv::Point2f> nextPts(d_nextPts.cols);
cv::Mat nextPts_mat(1, d_nextPts.cols, CV_32FC2, (void*)&nextPts[0]);
......@@ -260,22 +259,19 @@ TEST_P(PyrLKOpticalFlow, Sparse)
cv::Mat status_mat(1, d_status.cols, CV_8UC1, (void*)&status[0]);
d_status.download(status_mat);
std::vector<float> err(d_err.cols);
cv::Mat err_mat(1, d_err.cols, CV_32FC1, (void*)&err[0]);
d_err.download(err_mat);
std::vector<cv::Point2f> nextPts_gold;
std::vector<unsigned char> status_gold;
std::vector<float> err_gold;
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts_gold, status_gold, err_gold);
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts_gold, status_gold, cv::noArray());
ASSERT_EQ(nextPts_gold.size(), nextPts.size());
ASSERT_EQ(status_gold.size(), status.size());
ASSERT_EQ(err_gold.size(), err.size());
size_t mistmatch = 0;
for (size_t i = 0; i < nextPts.size(); ++i)
{
cv::Point2i a = nextPts[i];
cv::Point2i b = nextPts_gold[i];
if (status[i] != status_gold[i])
{
++mistmatch;
......@@ -284,13 +280,9 @@ TEST_P(PyrLKOpticalFlow, Sparse)
if (status[i])
{
cv::Point2i a = nextPts[i];
cv::Point2i b = nextPts_gold[i];
bool eq = std::abs(a.x - b.x) <= 1 && std::abs(a.y - b.y) <= 1;
bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1;
float errdiff = std::abs(err[i] - err_gold[i]);
if (!eq || errdiff > 1e-1)
if (!eq)
++mistmatch;
}
}
......
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