Open Source Computer Vision Library https://opencv.org/
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#include "precomp.hpp"
#include "opencv2/videostab/wobble_suppression.hpp"
#include "opencv2/videostab/ring_buffer.hpp"
#ifdef HAVE_OPENCV_CUDAWARPING
# include "opencv2/cudawarping.hpp"
#endif
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
namespace cv { namespace cuda {
static void calcWobbleSuppressionMaps(int, int, int, Size, const Mat&, const Mat&, GpuMat&, GpuMat&) { throw_no_cuda(); }
}}
#else
namespace cv { namespace cuda { namespace device { namespace globmotion {
void calcWobbleSuppressionMaps(
int left, int idx, int right, int width, int height,
const float *ml, const float *mr, PtrStepSzf mapx, PtrStepSzf mapy);
}}}}
namespace cv { namespace cuda {
static void calcWobbleSuppressionMaps(
int left, int idx, int right, Size size, const Mat &ml, const Mat &mr,
GpuMat &mapx, GpuMat &mapy)
{
CV_Assert(ml.size() == Size(3, 3) && ml.type() == CV_32F && ml.isContinuous());
CV_Assert(mr.size() == Size(3, 3) && mr.type() == CV_32F && mr.isContinuous());
mapx.create(size, CV_32F);
mapy.create(size, CV_32F);
cv::cuda::device::globmotion::calcWobbleSuppressionMaps(
left, idx, right, size.width, size.height,
ml.ptr<float>(), mr.ptr<float>(), mapx, mapy);
}
}}
#endif
namespace cv
{
namespace videostab
{
WobbleSuppressorBase::WobbleSuppressorBase() : motions_(0), stabilizationMotions_(0)
{
setMotionEstimator(makePtr<KeypointBasedMotionEstimator>(makePtr<MotionEstimatorRansacL2>(MM_HOMOGRAPHY)));
}
void NullWobbleSuppressor::suppress(int /*idx*/, const Mat &frame, Mat &result)
{
result = frame;
}
void MoreAccurateMotionWobbleSuppressor::suppress(int idx, const Mat &frame, Mat &result)
{
CV_Assert(motions_ && stabilizationMotions_);
if (idx % period_ == 0)
{
result = frame;
return;
}
int k1 = idx / period_ * period_;
int k2 = std::min(k1 + period_, frameCount_ - 1);
Mat S1 = (*stabilizationMotions_)[idx];
Mat_<float> ML = S1 * getMotion(k1, idx, *motions2_) * getMotion(k1, idx, *motions_).inv() * S1.inv();
Mat_<float> MR = S1 * getMotion(idx, k2, *motions2_).inv() * getMotion(idx, k2, *motions_) * S1.inv();
mapx_.create(frame.size());
mapy_.create(frame.size());
float xl, yl, zl, wl;
float xr, yr, zr, wr;
for (int y = 0; y < frame.rows; ++y)
{
for (int x = 0; x < frame.cols; ++x)
{
xl = ML(0,0)*x + ML(0,1)*y + ML(0,2);
yl = ML(1,0)*x + ML(1,1)*y + ML(1,2);
zl = ML(2,0)*x + ML(2,1)*y + ML(2,2);
xl /= zl; yl /= zl;
wl = float(idx - k1);
xr = MR(0,0)*x + MR(0,1)*y + MR(0,2);
yr = MR(1,0)*x + MR(1,1)*y + MR(1,2);
zr = MR(2,0)*x + MR(2,1)*y + MR(2,2);
xr /= zr; yr /= zr;
wr = float(k2 - idx);
mapx_(y,x) = (wr * xl + wl * xr) / (wl + wr);
mapy_(y,x) = (wr * yl + wl * yr) / (wl + wr);
}
}
if (result.data == frame.data)
result = Mat(frame.size(), frame.type());
remap(frame, result, mapx_, mapy_, INTER_LINEAR, BORDER_REPLICATE);
}
#if defined(HAVE_OPENCV_CUDAWARPING)
void MoreAccurateMotionWobbleSuppressorGpu::suppress(int idx, const cuda::GpuMat &frame, cuda::GpuMat &result)
{
CV_Assert(motions_ && stabilizationMotions_);
if (idx % period_ == 0)
{
result = frame;
return;
}
int k1 = idx / period_ * period_;
int k2 = std::min(k1 + period_, frameCount_ - 1);
Mat S1 = (*stabilizationMotions_)[idx];
Mat ML = S1 * getMotion(k1, idx, *motions2_) * getMotion(k1, idx, *motions_).inv() * S1.inv();
Mat MR = S1 * getMotion(idx, k2, *motions2_).inv() * getMotion(idx, k2, *motions_) * S1.inv();
cuda::calcWobbleSuppressionMaps(k1, idx, k2, frame.size(), ML, MR, mapx_, mapy_);
if (result.data == frame.data)
result = cuda::GpuMat(frame.size(), frame.type());
cuda::remap(frame, result, mapx_, mapy_, INTER_LINEAR, BORDER_REPLICATE);
}
void MoreAccurateMotionWobbleSuppressorGpu::suppress(int idx, const Mat &frame, Mat &result)
{
frameDevice_.upload(frame);
suppress(idx, frameDevice_, resultDevice_);
resultDevice_.download(result);
}
#endif
} // namespace videostab
} // namespace cv