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Merge pull request #22179 from hanliutong:new-rvv

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[GSoC] New universal intrinsic backend for RVV

* Add new rvv backend (partially implemented).

* Modify the framework of Universal Intrinsic.

* Add CV_SIMD macro guards to current UI code.

* Use vlanes() instead of nlanes.

* Modify the UI test.

* Enable the new RVV (scalable) backend.

* Remove whitespace.

* Rename and some others modify.

* Update intrin.hpp but still not work on AVX/SSE

* Update conditional compilation macros.

* Use static variable for vlanes.

* Use max_nlanes for array defining.
This commit is contained in:
HAN Liutong
2022-07-20 01:02:00 +08:00
committed by GitHub
parent 3c23a44786
commit 0ef803950b
13 changed files with 1484 additions and 358 deletions
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21
modules/calib3d/src/stereosgbm.cpp
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@@ -177,7 +177,7 @@ static void calcPixelCostBT( const Mat& img1, const Mat& img2, int y,
{
int x, c, width = img1.cols, cn = img1.channels();
int minX1 = std::max(maxD, 0), maxX1 = width + std::min(minD, 0);
int D = (int)alignSize(maxD - minD, v_int16::nlanes), width1 = maxX1 - minX1;
int D = (int)alignSize(maxD - minD, VTraits<v_int16>::vlanes()), width1 = maxX1 - minX1;
//This minX1 & maxX2 correction is defining which part of calculatable line must be calculated
//That is needs of parallel algorithm
xrange_min = (xrange_min < 0) ? 0: xrange_min;
@@ -502,8 +502,8 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
int minX1 = std::max(maxD, 0), maxX1 = width + std::min(minD, 0);
const int D = params.numDisparities;
int width1 = maxX1 - minX1;
int Da = (int)alignSize(D, v_int16::nlanes);
int Dlra = Da + v_int16::nlanes;//Additional memory is necessary to store disparity values(MAX_COST) for d=-1 and d=D
int Da = (int)alignSize(D,VTraits<v_int16>::vlanes());
int Dlra = Da + VTraits<v_int16>::vlanes();//Additional memory is necessary to store disparity values(MAX_COST) for d=-1 and d=D
int INVALID_DISP = minD - 1, INVALID_DISP_SCALED = INVALID_DISP*DISP_SCALE;
int SW2 = params.calcSADWindowSize().width/2, SH2 = params.calcSADWindowSize().height/2;
int npasses = params.isFullDP() ? 2 : 1;
@@ -977,11 +977,10 @@ struct CalcVerticalSums: public ParallelLoopBody
width = img1.cols;
int minX1 = std::max(maxD, 0), maxX1 = width + std::min(minD, 0);
D = maxD - minD;
Da = (int)alignSize(D, v_int16::nlanes);
Dlra = Da + v_int16::nlanes;//Additional memory is necessary to store disparity values(MAX_COST) for d=-1 and d=D
Da = (int)alignSize(D, VTraits<v_int16>::vlanes());
Dlra = Da + VTraits<v_int16>::vlanes();//Additional memory is necessary to store disparity values(MAX_COST) for d=-1 and d=D
width1 = maxX1 - minX1;
D = params.numDisparities;
Da = (int)alignSize(D, v_int16::nlanes);
}
void operator()(const Range& range) const CV_OVERRIDE
@@ -1235,8 +1234,8 @@ struct CalcHorizontalSums: public ParallelLoopBody
INVALID_DISP = minD - 1;
INVALID_DISP_SCALED = INVALID_DISP*DISP_SCALE;
D = maxD - minD;
Da = (int)alignSize(D, v_int16::nlanes);
Dlra = Da + v_int16::nlanes;//Additional memory is necessary to store disparity values(MAX_COST) for d=-1 and d=D
Da = (int)alignSize(D, VTraits<v_int16>::vlanes());
Dlra = Da + VTraits<v_int16>::vlanes();//Additional memory is necessary to store disparity values(MAX_COST) for d=-1 and d=D
width1 = maxX1 - minX1;
}
@@ -1484,8 +1483,8 @@ static void computeDisparitySGBM_HH4( const Mat& img1, const Mat& img2,
int width = disp1.cols, height = disp1.rows;
int minX1 = std::max(maxD, 0), maxX1 = width + std::min(minD, 0);
int width1 = maxX1 - minX1;
int Da = (int)alignSize(params.numDisparities, v_int16::nlanes);
int Dlra = Da + v_int16::nlanes;//Additional memory is necessary to store disparity values(MAX_COST) for d=-1 and d=D
int Da = (int)alignSize(params.numDisparities, VTraits<v_int16>::vlanes());
int Dlra = Da + VTraits<v_int16>::vlanes();//Additional memory is necessary to store disparity values(MAX_COST) for d=-1 and d=D
int INVALID_DISP = minD - 1;
int INVALID_DISP_SCALED = INVALID_DISP*DISP_SCALE;
@@ -1630,7 +1629,7 @@ SGBM3WayMainLoop::SGBM3WayMainLoop(const Mat& _img1,
width = img1->cols; height = img1->rows;
minD = params.minDisparity; maxD = minD + params.numDisparities; D = maxD - minD;
minX1 = std::max(maxD, 0); maxX1 = width + std::min(minD, 0); width1 = maxX1 - minX1;
Da = (int)alignSize(D, v_int16::nlanes);
Da = (int)alignSize(D, VTraits<v_int16>::vlanes());
SW2 = SH2 = params.SADWindowSize > 0 ? params.SADWindowSize/2 : 1;