mirror of
https://github.com/opencv/opencv.git
synced 2025-08-06 14:36:36 +08:00
parent
6630eac813
commit
cdfa58dde0
@ -415,7 +415,7 @@ namespace pyrlk
|
||||
|
||||
I_patch[i][j] = Tex_I<cn, T>::read(x, y);
|
||||
|
||||
// Sharr Deriv
|
||||
// Scharr Deriv
|
||||
|
||||
work_type dIdx = 3.0f * Tex_I<cn,T>::read(x+1, y-1) + 10.0f * Tex_I<cn, T>::read(x+1, y) + 3.0f * Tex_I<cn,T>::read(x+1, y+1) -
|
||||
(3.0f * Tex_I<cn,T>::read(x-1, y-1) + 10.0f * Tex_I<cn, T>::read(x-1, y) + 3.0f * Tex_I<cn,T>::read(x-1, y+1));
|
||||
@ -608,7 +608,7 @@ namespace pyrlk
|
||||
|
||||
I_patch[i][j] = ToFloat<T>(I(y, x));
|
||||
|
||||
// Sharr Deriv
|
||||
// Scharr Deriv
|
||||
|
||||
work_type dIdx = 3.0f * I(y - 1, x + 1) + 10.0f * I(y, x + 1) + 3.0f * I(y + 1, x + 1) -
|
||||
(3.0f * I(y - 1, x - 1) + 10.0f * I(y, x - 1) + 3.0f * I(y + 1 , x - 1));
|
||||
@ -927,7 +927,7 @@ namespace pyrlk
|
||||
|
||||
I_patch[i * patchWidth + j] = tex2D(tex_If, x, y);
|
||||
|
||||
// Sharr Deriv
|
||||
// Scharr Deriv
|
||||
|
||||
dIdx_patch[i * patchWidth + j] = 3 * tex2D(tex_If, x+1, y-1) + 10 * tex2D(tex_If, x+1, y) + 3 * tex2D(tex_If, x+1, y+1) -
|
||||
(3 * tex2D(tex_If, x-1, y-1) + 10 * tex2D(tex_If, x-1, y) + 3 * tex2D(tex_If, x-1, y+1));
|
||||
|
@ -52,19 +52,19 @@
|
||||
|
||||
namespace
|
||||
{
|
||||
static void calcSharrDeriv(const cv::Mat& src, cv::Mat& dst)
|
||||
static void calcScharrDeriv(const cv::Mat& src, cv::Mat& dst)
|
||||
{
|
||||
using namespace cv;
|
||||
using cv::detail::deriv_type;
|
||||
int rows = src.rows, cols = src.cols, cn = src.channels(), depth = src.depth();
|
||||
CV_Assert(depth == CV_8U);
|
||||
dst.create(rows, cols, CV_MAKETYPE(DataType<deriv_type>::depth, cn*2));
|
||||
parallel_for_(Range(0, rows), cv::detail::SharrDerivInvoker(src, dst), cv::getNumThreads());
|
||||
parallel_for_(Range(0, rows), cv::detail::ScharrDerivInvoker(src, dst), cv::getNumThreads());
|
||||
}
|
||||
|
||||
}//namespace
|
||||
|
||||
void cv::detail::SharrDerivInvoker::operator()(const Range& range) const
|
||||
void cv::detail::ScharrDerivInvoker::operator()(const Range& range) const
|
||||
{
|
||||
using cv::detail::deriv_type;
|
||||
int rows = src.rows, cols = src.cols, cn = src.channels(), colsn = cols*cn;
|
||||
@ -803,7 +803,7 @@ int cv::buildOpticalFlowPyramid(InputArray _img, OutputArrayOfArrays pyramid, Si
|
||||
deriv.create(sz.height + winSize.height*2, sz.width + winSize.width*2, derivType);
|
||||
|
||||
Mat derivI = deriv(Rect(winSize.width, winSize.height, sz.width, sz.height));
|
||||
calcSharrDeriv(thisLevel, derivI);
|
||||
calcScharrDeriv(thisLevel, derivI);
|
||||
|
||||
if(derivBorder != BORDER_TRANSPARENT)
|
||||
copyMakeBorder(derivI, deriv, winSize.height, winSize.height, winSize.width, winSize.width, derivBorder|BORDER_ISOLATED);
|
||||
@ -1384,7 +1384,7 @@ void SparsePyrLKOpticalFlowImpl::calc( InputArray _prevImg, InputArray _nextImg,
|
||||
Mat _derivI( imgSize.height + winSize.height*2,
|
||||
imgSize.width + winSize.width*2, derivIBuf.type(), derivIBuf.ptr() );
|
||||
derivI = _derivI(Rect(winSize.width, winSize.height, imgSize.width, imgSize.height));
|
||||
calcSharrDeriv(prevPyr[level * lvlStep1], derivI);
|
||||
calcScharrDeriv(prevPyr[level * lvlStep1], derivI);
|
||||
copyMakeBorder(derivI, _derivI, winSize.height, winSize.height, winSize.width, winSize.width, BORDER_CONSTANT|BORDER_ISOLATED);
|
||||
}
|
||||
else
|
||||
|
@ -7,9 +7,9 @@ namespace detail
|
||||
|
||||
typedef short deriv_type;
|
||||
|
||||
struct SharrDerivInvoker : ParallelLoopBody
|
||||
struct ScharrDerivInvoker : ParallelLoopBody
|
||||
{
|
||||
SharrDerivInvoker(const Mat& _src, const Mat& _dst)
|
||||
ScharrDerivInvoker(const Mat& _src, const Mat& _dst)
|
||||
: src(_src), dst(_dst)
|
||||
{ }
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user