generic-library/opencv
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minor refactoring of GPU module and GPU tests

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added gpu compare version for CMP_NE operation
This commit is contained in:
Vladislav Vinogradov 2010-09-20 10:34:46 +00:00
parent 73b58ad0ef
commit a2f8817df1
15 changed files with 529 additions and 286 deletions
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2
modules/gpu/include/opencv2/gpu/gpu.hpp
View File

@ -364,7 +364,7 @@ namespace cv
//! applies fixed threshold to the image.
//! Now supports only THRESH_TRUNC threshold type and one channels float source.
CV_EXPORTS double threshold(const GpuMat& src, GpuMat& dst, double thresh, double maxVal, int thresholdType);
CV_EXPORTS double threshold(const GpuMat& src, GpuMat& dst, double thresh);
//! compares elements of two arrays (c = a <cmpop> b)
//! Now doesn't support CMP_NE.

263
modules/gpu/src/arithm.cpp
View File

@ -57,7 +57,7 @@ void cv::gpu::transpose(const GpuMat&, GpuMat&) { throw_nogpu(); }
void cv::gpu::absdiff(const GpuMat&, const GpuMat&, GpuMat&) { throw_nogpu(); }
double cv::gpu::threshold(const GpuMat&, GpuMat&, double, double, int) { throw_nogpu(); return 0.0; }
double cv::gpu::threshold(const GpuMat&, GpuMat&, double) { throw_nogpu(); return 0.0; }
void cv::gpu::compare(const GpuMat&, const GpuMat&, GpuMat&, int) { throw_nogpu(); }
@ -85,27 +85,14 @@ void cv::gpu::rotate(const GpuMat&, GpuMat&, Size, double, double, double, int)
#else /* !defined (HAVE_CUDA) */
namespace
{
typedef NppStatus (*npp_warp_8u_t)(const Npp8u* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp8u* pDst,
int dstStep, NppiRect dstRoi, const double coeffs[][3],
int interpolation);
typedef NppStatus (*npp_warp_16u_t)(const Npp16u* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp16u* pDst,
int dstStep, NppiRect dstRoi, const double coeffs[][3],
int interpolation);
typedef NppStatus (*npp_warp_32s_t)(const Npp32s* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp32s* pDst,
int dstStep, NppiRect dstRoi, const double coeffs[][3],
int interpolation);
typedef NppStatus (*npp_warp_32f_t)(const Npp32f* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp32f* pDst,
int dstStep, NppiRect dstRoi, const double coeffs[][3],
int interpolation);
typedef NppStatus (*npp_binary_func_8u_scale_t)(const Npp8u* pSrc1, int nSrc1Step, const Npp8u* pSrc2, int nSrc2Step, Npp8u* pDst, int nDstStep,
NppiSize oSizeROI, int nScaleFactor);
typedef NppStatus (*npp_binary_func_32f_t)(const Npp32f* pSrc1, int nSrc1Step, const Npp32f* pSrc2, int nSrc2Step, Npp32f* pDst,
int nDstStep, NppiSize oSizeROI);
{
typedef NppStatus (*npp_arithm_8u_t)(const Npp8u* pSrc1, int nSrc1Step, const Npp8u* pSrc2, int nSrc2Step, Npp8u* pDst, int nDstStep,
NppiSize oSizeROI, int nScaleFactor);
typedef NppStatus (*npp_arithm_32f_t)(const Npp32f* pSrc1, int nSrc1Step, const Npp32f* pSrc2, int nSrc2Step, Npp32f* pDst,
int nDstStep, NppiSize oSizeROI);
void nppFuncCaller(const GpuMat& src1, const GpuMat& src2, GpuMat& dst,
npp_binary_func_8u_scale_t npp_func_8uc1, npp_binary_func_8u_scale_t npp_func_8uc4, npp_binary_func_32f_t npp_func_32fc1)
npp_arithm_8u_t npp_func_8uc1, npp_arithm_8u_t npp_func_8uc4, npp_arithm_32f_t npp_func_32fc1)
{
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
@ -117,27 +104,26 @@ namespace
sz.width = src1.cols;
sz.height = src1.rows;
if (src1.depth() == CV_8U)
{
if (src1.channels() == 1)
{
nppSafeCall( npp_func_8uc1((const Npp8u*)src1.ptr<char>(), src1.step,
(const Npp8u*)src2.ptr<char>(), src2.step,
(Npp8u*)dst.ptr<char>(), dst.step, sz, 0) );
}
else
{
nppSafeCall( npp_func_8uc4((const Npp8u*)src1.ptr<char>(), src1.step,
(const Npp8u*)src2.ptr<char>(), src2.step,
(Npp8u*)dst.ptr<char>(), dst.step, sz, 0) );
}
}
else //if (src1.depth() == CV_32F)
{
nppSafeCall( npp_func_32fc1((const Npp32f*)src1.ptr<float>(), src1.step,
(const Npp32f*)src2.ptr<float>(), src2.step,
(Npp32f*)dst.ptr<float>(), dst.step, sz) );
}
switch (src1.type())
{
case CV_8UC1:
nppSafeCall( npp_func_8uc1(src1.ptr<Npp8u>(), src1.step,
src2.ptr<Npp8u>(), src2.step,
dst.ptr<Npp8u>(), dst.step, sz, 0) );
break;
case CV_8UC4:
nppSafeCall( npp_func_8uc4(src1.ptr<Npp8u>(), src1.step,
src2.ptr<Npp8u>(), src2.step,
dst.ptr<Npp8u>(), dst.step, sz, 0) );
break;
case CV_32FC1:
nppSafeCall( npp_func_32fc1(src1.ptr<Npp32f>(), src1.step,
src2.ptr<Npp32f>(), src2.step,
dst.ptr<Npp32f>(), dst.step, sz) );
break;
default:
CV_Assert(!"Unsupported source type");
}
}
}
@ -171,14 +157,14 @@ void cv::gpu::transpose(const GpuMat& src, GpuMat& dst)
sz.width = src.cols;
sz.height = src.rows;
nppSafeCall( nppiTranspose_8u_C1R((const Npp8u*)src.ptr<char>(), src.step, (Npp8u*)dst.ptr<char>(), dst.step, sz) );
nppSafeCall( nppiTranspose_8u_C1R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, sz) );
}
void cv::gpu::absdiff(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
{
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
CV_Assert((src1.depth() == CV_8U || src1.depth() == CV_32F) && src1.channels() == 1);
CV_Assert(src1.type() == CV_8UC1 || src1.type() == CV_32FC1);
dst.create( src1.size(), src1.type() );
@ -186,23 +172,23 @@ void cv::gpu::absdiff(const GpuMat& src1, const GpuMat& src2, GpuMat& dst)
sz.width = src1.cols;
sz.height = src1.rows;
if (src1.depth() == CV_8U)
if (src1.type() == CV_8UC1)
{
nppSafeCall( nppiAbsDiff_8u_C1R((const Npp8u*)src1.ptr<char>(), src1.step,
(const Npp8u*)src2.ptr<char>(), src2.step,
(Npp8u*)dst.ptr<char>(), dst.step, sz) );
nppSafeCall( nppiAbsDiff_8u_C1R(src1.ptr<Npp8u>(), src1.step,
src2.ptr<Npp8u>(), src2.step,
dst.ptr<Npp8u>(), dst.step, sz) );
}
else //if (src1.depth() == CV_32F)
else
{
nppSafeCall( nppiAbsDiff_32f_C1R((const Npp32f*)src1.ptr<float>(), src1.step,
(const Npp32f*)src2.ptr<float>(), src2.step,
(Npp32f*)dst.ptr<float>(), dst.step, sz) );
nppSafeCall( nppiAbsDiff_32f_C1R(src1.ptr<Npp32f>(), src1.step,
src2.ptr<Npp32f>(), src2.step,
dst.ptr<Npp32f>(), dst.step, sz) );
}
}
double cv::gpu::threshold(const GpuMat& src, GpuMat& dst, double thresh, double /*maxVal*/, int thresholdType)
double cv::gpu::threshold(const GpuMat& src, GpuMat& dst, double thresh)
{
CV_Assert(src.type() == CV_32FC1 && thresholdType == THRESH_TRUNC);
CV_Assert(src.type() == CV_32FC1)
dst.create( src.size(), src.type() );
@ -210,17 +196,23 @@ double cv::gpu::threshold(const GpuMat& src, GpuMat& dst, double thresh, double
sz.width = src.cols;
sz.height = src.rows;
nppSafeCall( nppiThreshold_32f_C1R((const Npp32f*)src.ptr<float>(), src.step,
(Npp32f*)dst.ptr<float>(), dst.step, sz, (Npp32f)thresh, NPP_CMP_GREATER) );
nppSafeCall( nppiThreshold_32f_C1R(src.ptr<Npp32f>(), src.step,
dst.ptr<Npp32f>(), dst.step, sz, static_cast<Npp32f>(thresh), NPP_CMP_GREATER) );
return thresh;
}
namespace cv { namespace gpu { namespace matrix_operations
{
void compare_ne_8u(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst);
void compare_ne_32f(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst);
}}}
void cv::gpu::compare(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, int cmpop)
{
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
CV_Assert((src1.type() == CV_8UC4 || src1.type() == CV_32FC1) && cmpop != CMP_NE);
CV_Assert(src1.type() == CV_8UC4 || src1.type() == CV_32FC1);
dst.create( src1.size(), CV_8UC1 );
@ -230,17 +222,31 @@ void cv::gpu::compare(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, int c
sz.width = src1.cols;
sz.height = src1.rows;
if (src1.depth() == CV_8U)
if (src1.type() == CV_8UC4)
{
nppSafeCall( nppiCompare_8u_C4R((const Npp8u*)src1.ptr<char>(), src1.step,
(const Npp8u*)src2.ptr<char>(), src2.step,
(Npp8u*)dst.ptr<char>(), dst.step, sz, nppCmpOp[cmpop]) );
if (cmpop != CMP_NE)
{
nppSafeCall( nppiCompare_8u_C4R(src1.ptr<Npp8u>(), src1.step,
src2.ptr<Npp8u>(), src2.step,
dst.ptr<Npp8u>(), dst.step, sz, nppCmpOp[cmpop]) );
}
else
{
matrix_operations::compare_ne_8u(src1, src2, dst);
}
}
else //if (src1.depth() == CV_32F)
else
{
nppSafeCall( nppiCompare_32f_C1R((const Npp32f*)src1.ptr<float>(), src1.step,
(const Npp32f*)src2.ptr<float>(), src2.step,
(Npp8u*)dst.ptr<char>(), dst.step, sz, nppCmpOp[cmpop]) );
if (cmpop != CMP_NE)
{
nppSafeCall( nppiCompare_32f_C1R(src1.ptr<Npp32f>(), src1.step,
src2.ptr<Npp32f>(), src2.step,
dst.ptr<Npp8u>(), dst.step, sz, nppCmpOp[cmpop]) );
}
else
{
matrix_operations::compare_ne_32f(src1, src2, dst);
}
}
}
@ -252,7 +258,7 @@ void cv::gpu::meanStdDev(const GpuMat& src, Scalar& mean, Scalar& stddev)
sz.width = src.cols;
sz.height = src.rows;
nppSafeCall( nppiMean_StdDev_8u_C1R((const Npp8u*)src.ptr<char>(), src.step, sz, mean.val, stddev.val) );
nppSafeCall( nppiMean_StdDev_8u_C1R(src.ptr<Npp8u>(), src.step, sz, mean.val, stddev.val) );
}
double cv::gpu::norm(const GpuMat& src1, int normType)
@ -264,7 +270,8 @@ double cv::gpu::norm(const GpuMat& src1, const GpuMat& src2, int normType)
{
CV_DbgAssert(src1.size() == src2.size() && src1.type() == src2.type());
CV_Assert((src1.type() == CV_8UC1) && (normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2));
CV_Assert(src1.type() == CV_8UC1);
CV_Assert(normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2);
typedef NppStatus (*npp_norm_diff_func_t)(const Npp8u* pSrc1, int nSrcStep1, const Npp8u* pSrc2, int nSrcStep2,
NppiSize oSizeROI, Npp64f* pRetVal);
@ -278,8 +285,8 @@ double cv::gpu::norm(const GpuMat& src1, const GpuMat& src2, int normType)
int funcIdx = normType >> 1;
Scalar retVal;
nppSafeCall( npp_norm_diff_func[funcIdx]((const Npp8u*)src1.ptr<char>(), src1.step,
(const Npp8u*)src2.ptr<char>(), src2.step,
nppSafeCall( npp_norm_diff_func[funcIdx](src1.ptr<Npp8u>(), src1.step,
src2.ptr<Npp8u>(), src2.step,
sz, retVal.val) );
return retVal[0];
@ -295,16 +302,16 @@ void cv::gpu::flip(const GpuMat& src, GpuMat& dst, int flipCode)
sz.width = src.cols;
sz.height = src.rows;
if (src.channels() == 1)
if (src.type() == CV_8UC1)
{
nppSafeCall( nppiMirror_8u_C1R((const Npp8u*)src.ptr<char>(), src.step,
(Npp8u*)dst.ptr<char>(), dst.step, sz,
nppSafeCall( nppiMirror_8u_C1R(src.ptr<Npp8u>(), src.step,
dst.ptr<Npp8u>(), dst.step, sz,
(flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) );
}
else
{
nppSafeCall( nppiMirror_8u_C4R((const Npp8u*)src.ptr<char>(), src.step,
(Npp8u*)dst.ptr<char>(), dst.step, sz,
nppSafeCall( nppiMirror_8u_C4R(src.ptr<Npp8u>(), src.step,
dst.ptr<Npp8u>(), dst.step, sz,
(flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) );
}
}
@ -313,11 +320,12 @@ void cv::gpu::resize(const GpuMat& src, GpuMat& dst, Size dsize, double fx, doub
{
static const int npp_inter[] = {NPPI_INTER_NN, NPPI_INTER_LINEAR, NPPI_INTER_CUBIC, 0, NPPI_INTER_LANCZOS};
CV_Assert((src.type() == CV_8UC1 || src.type() == CV_8UC4) &&
(interpolation == INTER_NEAREST || interpolation == INTER_LINEAR || interpolation == INTER_CUBIC || interpolation == INTER_LANCZOS4));
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
CV_Assert(interpolation == INTER_NEAREST || interpolation == INTER_LINEAR || interpolation == INTER_CUBIC || interpolation == INTER_LANCZOS4);
CV_Assert( src.size().area() > 0 );
CV_Assert( !(dsize == Size()) || (fx > 0 && fy > 0) );
if( dsize == Size() )
{
dsize = Size(saturate_cast<int>(src.cols * fx), saturate_cast<int>(src.rows * fy));
@ -327,6 +335,7 @@ void cv::gpu::resize(const GpuMat& src, GpuMat& dst, Size dsize, double fx, doub
fx = (double)dsize.width / src.cols;
fy = (double)dsize.height / src.rows;
}
dst.create(dsize, src.type());
NppiSize srcsz;
@ -340,15 +349,15 @@ void cv::gpu::resize(const GpuMat& src, GpuMat& dst, Size dsize, double fx, doub
dstsz.width = dst.cols;
dstsz.height = dst.rows;
if (src.channels() == 1)
if (src.type() == CV_8UC1)
{
nppSafeCall( nppiResize_8u_C1R((const Npp8u*)src.ptr<char>(), srcsz, src.step, srcrect,
(Npp8u*)dst.ptr<char>(), dst.step, dstsz, fx, fy, npp_inter[interpolation]) );
nppSafeCall( nppiResize_8u_C1R(src.ptr<Npp8u>(), srcsz, src.step, srcrect,
dst.ptr<Npp8u>(), dst.step, dstsz, fx, fy, npp_inter[interpolation]) );
}
else
{
nppSafeCall( nppiResize_8u_C4R((const Npp8u*)src.ptr<char>(), srcsz, src.step, srcrect,
(Npp8u*)dst.ptr<char>(), dst.step, dstsz, fx, fy, npp_inter[interpolation]) );
nppSafeCall( nppiResize_8u_C4R(src.ptr<Npp8u>(), srcsz, src.step, srcrect,
dst.ptr<Npp8u>(), dst.step, dstsz, fx, fy, npp_inter[interpolation]) );
}
}
@ -362,13 +371,13 @@ Scalar cv::gpu::sum(const GpuMat& src)
sz.width = src.cols;
sz.height = src.rows;
if (src.channels() == 1)
if (src.type() == CV_8UC1)
{
nppSafeCall( nppiSum_8u_C1R((const Npp8u*)src.ptr<char>(), src.step, sz, res.val) );
nppSafeCall( nppiSum_8u_C1R(src.ptr<Npp8u>(), src.step, sz, res.val) );
}
else
{
nppSafeCall( nppiSum_8u_C4R((const Npp8u*)src.ptr<char>(), src.step, sz, res.val) );
nppSafeCall( nppiSum_8u_C4R(src.ptr<Npp8u>(), src.step, sz, res.val) );
}
return res;
@ -384,7 +393,7 @@ void cv::gpu::minMax(const GpuMat& src, double* minVal, double* maxVal)
Npp8u min_res, max_res;
nppSafeCall( nppiMinMax_8u_C1R((const Npp8u*)src.ptr<char>(), src.step, sz, &min_res, &max_res) );
nppSafeCall( nppiMinMax_8u_C1R(src.ptr<Npp8u>(), src.step, sz, &min_res, &max_res) );
if (minVal)
*minVal = min_res;
@ -406,31 +415,49 @@ void cv::gpu::copyMakeBorder(const GpuMat& src, GpuMat& dst, int top, int bottom
dstsz.width = dst.cols;
dstsz.height = dst.rows;
if (src.depth() == CV_8U)
{
if (src.channels() == 1)
switch (src.type())
{
case CV_8UC1:
{
Npp8u nVal = (Npp8u)value[0];
nppSafeCall( nppiCopyConstBorder_8u_C1R((const Npp8u*)src.ptr<char>(), src.step, srcsz,
(Npp8u*)dst.ptr<char>(), dst.step, dstsz, top, left, nVal) );
Npp8u nVal = static_cast<Npp8u>(value[0]);
nppSafeCall( nppiCopyConstBorder_8u_C1R(src.ptr<Npp8u>(), src.step, srcsz,
dst.ptr<Npp8u>(), dst.step, dstsz, top, left, nVal) );
break;
}
else
case CV_8UC4:
{
Npp8u nVal[] = {(Npp8u)value[0], (Npp8u)value[1], (Npp8u)value[2], (Npp8u)value[3]};
nppSafeCall( nppiCopyConstBorder_8u_C4R((const Npp8u*)src.ptr<char>(), src.step, srcsz,
(Npp8u*)dst.ptr<char>(), dst.step, dstsz, top, left, nVal) );
}
}
else //if (src.depth() == CV_32S)
{
Npp32s nVal = (Npp32s)value[0];
nppSafeCall( nppiCopyConstBorder_32s_C1R((const Npp32s*)src.ptr<char>(), src.step, srcsz,
(Npp32s*)dst.ptr<char>(), dst.step, dstsz, top, left, nVal) );
}
Npp8u nVal[] = {static_cast<Npp8u>(value[0]), static_cast<Npp8u>(value[1]), static_cast<Npp8u>(value[2]), static_cast<Npp8u>(value[3])};
nppSafeCall( nppiCopyConstBorder_8u_C4R(src.ptr<Npp8u>(), src.step, srcsz,
dst.ptr<Npp8u>(), dst.step, dstsz, top, left, nVal) );
break;
}
case CV_32SC1:
{
Npp32s nVal = static_cast<Npp32s>(value[0]);
nppSafeCall( nppiCopyConstBorder_32s_C1R(src.ptr<Npp32s>(), src.step, srcsz,
dst.ptr<Npp32s>(), dst.step, dstsz, top, left, nVal) );
break;
}
default:
CV_Assert(!"Unsupported source type");
}
}
namespace
{
{
typedef NppStatus (*npp_warp_8u_t)(const Npp8u* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp8u* pDst,
int dstStep, NppiRect dstRoi, const double coeffs[][3],
int interpolation);
typedef NppStatus (*npp_warp_16u_t)(const Npp16u* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp16u* pDst,
int dstStep, NppiRect dstRoi, const double coeffs[][3],
int interpolation);
typedef NppStatus (*npp_warp_32s_t)(const Npp32s* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp32s* pDst,
int dstStep, NppiRect dstRoi, const double coeffs[][3],
int interpolation);
typedef NppStatus (*npp_warp_32f_t)(const Npp32f* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp32f* pDst,
int dstStep, NppiRect dstRoi, const double coeffs[][3],
int interpolation);
void nppWarpCaller(const GpuMat& src, GpuMat& dst, double coeffs[][3], const Size& dsize, int flags,
npp_warp_8u_t npp_warp_8u[][2], npp_warp_16u_t npp_warp_16u[][2],
npp_warp_32s_t npp_warp_32s[][2], npp_warp_32f_t npp_warp_32f[][2])
@ -461,20 +488,20 @@ namespace
switch (src.depth())
{
case CV_8U:
nppSafeCall( npp_warp_8u[src.channels()][warpInd]((const Npp8u*)src.ptr<char>(), srcsz, src.step, srcroi,
(Npp8u*)dst.ptr<char>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
nppSafeCall( npp_warp_8u[src.channels()][warpInd](src.ptr<Npp8u>(), srcsz, src.step, srcroi,
dst.ptr<Npp8u>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
break;
case CV_16U:
nppSafeCall( npp_warp_16u[src.channels()][warpInd]((const Npp16u*)src.ptr<char>(), srcsz, src.step, srcroi,
(Npp16u*)dst.ptr<char>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
nppSafeCall( npp_warp_16u[src.channels()][warpInd](src.ptr<Npp16u>(), srcsz, src.step, srcroi,
dst.ptr<Npp16u>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
break;
case CV_32SC1:
nppSafeCall( npp_warp_32s[src.channels()][warpInd]((const Npp32s*)src.ptr<char>(), srcsz, src.step, srcroi,
(Npp32s*)dst.ptr<char>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
case CV_32S:
nppSafeCall( npp_warp_32s[src.channels()][warpInd](src.ptr<Npp32s>(), srcsz, src.step, srcroi,
dst.ptr<Npp32s>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
break;
case CV_32FC1:
nppSafeCall( npp_warp_32f[src.channels()][warpInd]((const Npp32f*)src.ptr<char>(), srcsz, src.step, srcroi,
(Npp32f*)dst.ptr<char>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
case CV_32F:
nppSafeCall( npp_warp_32f[src.channels()][warpInd](src.ptr<Npp32f>(), srcsz, src.step, srcroi,
dst.ptr<Npp32f>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
break;
default:
CV_Assert(!"Unsupported source type");
@ -591,15 +618,15 @@ void cv::gpu::rotate(const GpuMat& src, GpuMat& dst, Size dsize, double angle, d
dstroi.height = dst.rows;
dstroi.width = dst.cols;
if (src.channels() == 1)
if (src.type() == CV_8UC1)
{
nppSafeCall( nppiRotate_8u_C1R((const Npp8u*)src.ptr<char>(), srcsz, src.step, srcroi,
(Npp8u*)dst.ptr<char>(), dst.step, dstroi, angle, xShift, yShift, npp_inter[interpolation]) );
nppSafeCall( nppiRotate_8u_C1R(src.ptr<Npp8u>(), srcsz, src.step, srcroi,
dst.ptr<Npp8u>(), dst.step, dstroi, angle, xShift, yShift, npp_inter[interpolation]) );
}
else
{
nppSafeCall( nppiRotate_8u_C4R((const Npp8u*)src.ptr<char>(), srcsz, src.step, srcroi,
(Npp8u*)dst.ptr<char>(), dst.step, dstroi, angle, xShift, yShift, npp_inter[interpolation]) );
nppSafeCall( nppiRotate_8u_C4R(src.ptr<Npp8u>(), srcsz, src.step, srcroi,
dst.ptr<Npp8u>(), dst.step, dstroi, angle, xShift, yShift, npp_inter[interpolation]) );
}
}

42
modules/gpu/src/cuda/matrix_operations.cu
View File

@ -255,6 +255,24 @@ namespace mat_operators
}
}
///////////////////////////////////////////////////////////////////////////
/////////////////////////////// compare_ne ////////////////////////////////
///////////////////////////////////////////////////////////////////////////
template <typename T>
__global__ void kernel_compare_ne(uchar* src1, size_t src1_step, uchar* src2, size_t src2_step, uchar* dst, size_t dst_step, int cols, int rows)
{
const size_t x = threadIdx.x + blockIdx.x * blockDim.x;
const size_t y = threadIdx.y + blockIdx.y * blockDim.y;
if (x < cols && y < rows)
{
T src1_pix = ((T*)(src1 + y * src1_step))[x];
T src2_pix = ((T*)(src2 + y * src2_step))[x];
uchar res = (uchar)(src1_pix != src2_pix) * 255;
((dst + y * dst_step))[x] = res;
}
}
} // namespace mat_operators
namespace cv
@ -460,6 +478,28 @@ namespace cv
cv::gpu::error("Unsupported convert operation", __FILE__, __LINE__);
func(src, dst, src.cols * channels, src.rows, alpha, beta, stream);
}
} // namespace impl
///////////////////////////////////////////////////////////////////////////
/////////////////////////////// compare_ne ////////////////////////////////
///////////////////////////////////////////////////////////////////////////
void compare_ne_8u(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst)
{
dim3 block(32, 8);
dim3 grid(divUp(src1.cols, block.x), divUp(src1.rows, block.y));
mat_operators::kernel_compare_ne<uint><<<grid, block>>>(src1.ptr, src1.step, src2.ptr, src2.step, dst.ptr, dst.step, src1.cols, src1.rows);
cudaSafeCall( cudaThreadSynchronize() );
}
void compare_ne_32f(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst)
{
dim3 block(32, 8);
dim3 grid(divUp(src1.cols, block.x), divUp(src1.rows, block.y));
mat_operators::kernel_compare_ne<float><<<grid, block>>>(src1.ptr, src1.step, src2.ptr, src2.step, dst.ptr, dst.step, src1.cols, src1.rows);
cudaSafeCall( cudaThreadSynchronize() );
}
} // namespace matrix_operations
} // namespace gpu
} // namespace cv

6
modules/gpu/src/filtering_npp.cpp
View File

@ -48,9 +48,9 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA)
void cv::gpu::erode( const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations) { throw_nogpu(); }
void cv::gpu::dilate( const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations) { throw_nogpu(); }
void morphologyEx( const GpuMat& src, GpuMat& dst, int op, const Mat& kernel, Point anchor, int iterations) { throw_nogpu(); }
void cv::gpu::erode( const GpuMat&, GpuMat&, const Mat&, Point, int) { throw_nogpu(); }
void cv::gpu::dilate( const GpuMat&, GpuMat&, const Mat&, Point, int) { throw_nogpu(); }
void morphologyEx( const GpuMat&, GpuMat&, int, const Mat&, Point, int) { throw_nogpu(); }
#else

42
tests/gpu/src/meanshift.cpp
View File

@ -60,21 +60,23 @@ CV_GpuMeanShiftTest::CV_GpuMeanShiftTest(): CvTest( "GPU-MeanShift", "MeanShift"
void CV_GpuMeanShiftTest::run(int)
{
int spatialRad = 30;
int colorRad = 30;
int spatialRad = 30;
int colorRad = 30;
cv::Mat img = cv::imread(std::string(ts->get_data_path()) + "meanshift/cones.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "meanshift/con_result.png");
cv::Mat img = cv::imread(std::string(ts->get_data_path()) + "meanshift/cones.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "meanshift/con_result.png");
if (img.empty() || img_template.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
if (img.empty() || img_template.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
cv::Mat rgba;
cvtColor(img, rgba, CV_BGR2BGRA);
cv::Mat rgba;
cvtColor(img, rgba, CV_BGR2BGRA);
try
{
cv::gpu::GpuMat res;
cv::gpu::meanShiftFiltering( cv::gpu::GpuMat(rgba), res, spatialRad, colorRad );
if (res.type() != CV_8UC4)
@ -98,15 +100,27 @@ void CV_GpuMeanShiftTest::run(int)
{
const uchar& ch1 = res_line[result.channels()*i + k];
const uchar& ch2 = ref_line[img_template.channels()*i + k];
uchar diff = abs(ch1 - ch2);
uchar diff = static_cast<uchar>(abs(ch1 - ch2));
if (maxDiff < diff)
maxDiff = diff;
}
}
}
if (maxDiff > 0)
{
ts->printf(CvTS::CONSOLE, "\nMeanShift maxDiff = %d\n", maxDiff);
ts->set_failed_test_info((maxDiff == 0) ? CvTS::OK : CvTS::FAIL_GENERIC);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
CV_GpuMeanShiftTest CV_GpuMeanShift_test;
CV_GpuMeanShiftTest CV_GpuMeanShift_test;

6
tests/gpu/src/morf_filters.cpp
View File

@ -81,7 +81,7 @@ protected:
if (res < std::numeric_limits<double>::epsilon())
return CvTS::OK;
ts->printf(CvTS::LOG, "\nNorm: %f\n", res);
ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", res);
return CvTS::FAIL_GENERIC;
}
};
@ -116,7 +116,8 @@ void CV_GpuNppMorphogyTest::run( int )
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
@ -174,7 +175,6 @@ protected:
CV_GpuDilateTest CV_GpuDilate_test;
////////////////////////////////////////////////////////////////////////////////
// Dilate
class CV_GpuMorphExTest : public CV_GpuNppMorphogyTest

257
tests/gpu/src/npp_image_arithm.cpp
View File

@ -132,7 +132,7 @@ int CV_GpuNppImageArithmTest::CheckNorm(const Mat& m1, const Mat& m2)
}
else
{
ts->printf(CvTS::LOG, "\nNorm: %f\n", ret);
ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", ret);
return CvTS::FAIL_GENERIC;
}
}
@ -154,7 +154,7 @@ int CV_GpuNppImageArithmTest::CheckNorm(double d1, double d2)
}
else
{
ts->printf(CvTS::LOG, "\nNorm: %f\n", ret);
ts->printf(CvTS::CONSOLE, "\nNorm: %f\n", ret);
return CvTS::FAIL_GENERIC;
}
}
@ -165,8 +165,14 @@ void CV_GpuNppImageArithmTest::run( int )
//cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-L.png");
//cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-R.png");
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-L.png");
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-R.png");
//cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-L.png");
//cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-R.png");
cv::RNG rng(*ts->get_rng());
cv::Size sz(200, 200);
cv::Mat img_l(sz, CV_8UC3), img_r(sz, CV_8UC3);
rng.fill(img_l, cv::RNG::UNIFORM, cv::Scalar::all(10), cv::Scalar::all(100));
rng.fill(img_r, cv::RNG::UNIFORM, cv::Scalar::all(10), cv::Scalar::all(100));
if (img_l.empty() || img_r.empty())
{
@ -174,32 +180,41 @@ void CV_GpuNppImageArithmTest::run( int )
return;
}
//run tests
int testResult = test8UC1(img_l, img_r);
if (testResult != CvTS::OK)
try
{
ts->set_failed_test_info(testResult);
return;
}
//run tests
int testResult = test8UC1(img_l, img_r);
if (testResult != CvTS::OK)
{
ts->set_failed_test_info(testResult);
return;
}
testResult = test8UC4(img_l, img_r);
if (testResult != CvTS::OK)
{
ts->set_failed_test_info(testResult);
return;
}
testResult = test8UC4(img_l, img_r);
if (testResult != CvTS::OK)
{
ts->set_failed_test_info(testResult);
return;
}
testResult = test32SC1(img_l, img_r);
if (testResult != CvTS::OK)
{
ts->set_failed_test_info(testResult);
return;
}
testResult = test32SC1(img_l, img_r);
if (testResult != CvTS::OK)
{
ts->set_failed_test_info(testResult);
return;
}
testResult = test32FC1(img_l, img_r);
if (testResult != CvTS::OK)
testResult = test32FC1(img_l, img_r);
if (testResult != CvTS::OK)
{
ts->set_failed_test_info(testResult);
return;
}
}
catch(const cv::Exception& e)
{
ts->set_failed_test_info(testResult);
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
@ -423,15 +438,15 @@ int CV_GpuNppImageThresholdTest::test( const Mat& cpu1, const Mat& )
if (cpu1.type() != CV_32FC1)
return CvTS::OK;
const double thresh = 0.5;
const double maxval = 0.0;
cv::RNG rng(*ts->get_rng());
const double thresh = rng;
cv::Mat cpuRes;
cv::threshold(cpu1, cpuRes, thresh, maxval, THRESH_TRUNC);
cv::threshold(cpu1, cpuRes, thresh, 0.0, THRESH_TRUNC);
GpuMat gpu1(cpu1);
GpuMat gpuRes;
cv::gpu::threshold(gpu1, gpuRes, thresh, maxval, THRESH_TRUNC);
cv::gpu::threshold(gpu1, gpuRes, thresh);
return CheckNorm(cpuRes, gpuRes);
}
@ -458,15 +473,30 @@ int CV_GpuNppImageCompareTest::test( const Mat& cpu1, const Mat& cpu2 )
if (cpu1.type() != CV_32FC1)
return CvTS::OK;
cv::Mat cpuRes;
cv::compare(cpu1, cpu2, cpuRes, CMP_GT);
int cmp_codes[] = {CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE};
const char* cmp_str[] = {"CMP_EQ", "CMP_GT", "CMP_GE", "CMP_LT", "CMP_LE", "CMP_NE"};
int cmp_num = sizeof(cmp_codes) / sizeof(int);
GpuMat gpu1(cpu1);
GpuMat gpu2(cpu2);
GpuMat gpuRes;
cv::gpu::compare(gpu1, gpu2, gpuRes, CMP_GT);
int test_res = CvTS::OK;
return CheckNorm(cpuRes, gpuRes);
for (int i = 0; i < cmp_num; ++i)
{
cv::Mat cpuRes;
cv::compare(cpu1, cpu2, cpuRes, cmp_codes[i]);
GpuMat gpu1(cpu1);
GpuMat gpu2(cpu2);
GpuMat gpuRes;
cv::gpu::compare(gpu1, gpu2, gpuRes, cmp_codes[i]);
if (CheckNorm(cpuRes, gpuRes) != CvTS::OK)
{
ts->printf(CvTS::CONSOLE, "\nCompare operation: %s\n", cmp_str[i]);
test_res = CvTS::FAIL_GENERIC;
}
}
return test_res;
}
CV_GpuNppImageCompareTest CV_GpuNppImageCompare_test;
@ -525,19 +555,28 @@ int CV_GpuNppImageNormTest::test( const Mat& cpu1, const Mat& cpu2 )
if (cpu1.type() != CV_8UC1)
return CvTS::OK;
double cpu_norm_inf = cv::norm(cpu1, cpu2, NORM_INF);
double cpu_norm_L1 = cv::norm(cpu1, cpu2, NORM_L1);
double cpu_norm_L2 = cv::norm(cpu1, cpu2, NORM_L2);
int norms[] = {NORM_INF, NORM_L1, NORM_L2};
const char* norms_str[] = {"NORM_INF", "NORM_L1", "NORM_L2"};
int norms_num = sizeof(norms) / sizeof(int);
GpuMat gpu1(cpu1);
GpuMat gpu2(cpu2);
double gpu_norm_inf = cv::gpu::norm(gpu1, gpu2, NORM_INF);
double gpu_norm_L1 = cv::gpu::norm(gpu1, gpu2, NORM_L1);
double gpu_norm_L2 = cv::gpu::norm(gpu1, gpu2, NORM_L2);
int test_res = CvTS::OK;
return (CheckNorm(cpu_norm_inf, gpu_norm_inf) == CvTS::OK
&& CheckNorm(cpu_norm_L1, gpu_norm_L1) == CvTS::OK
&& CheckNorm(cpu_norm_L2, gpu_norm_L2) == CvTS::OK) ? CvTS::OK : CvTS::FAIL_GENERIC;
for (int i = 0; i < norms_num; ++i)
{
double cpu_norm = cv::norm(cpu1, cpu2, norms[i]);
GpuMat gpu1(cpu1);
GpuMat gpu2(cpu2);
double gpu_norm = cv::gpu::norm(gpu1, gpu2, norms[i]);
if (CheckNorm(cpu_norm, gpu_norm) != CvTS::OK)
{
ts->printf(CvTS::CONSOLE, "\nNorm type: %s\n", norms_str[i]);
test_res = CvTS::FAIL_GENERIC;
}
}
return test_res;
}
CV_GpuNppImageNormTest CV_GpuNppImageNorm_test;
@ -562,20 +601,29 @@ int CV_GpuNppImageFlipTest::test( const Mat& cpu1, const Mat& )
if (cpu1.type() != CV_8UC1 && cpu1.type() != CV_8UC4)
return CvTS::OK;
Mat cpux, cpuy, cpub;
cv::flip(cpu1, cpux, 0);
cv::flip(cpu1, cpuy, 1);
cv::flip(cpu1, cpub, -1);
int flip_codes[] = {0, 1, -1};
const char* flip_axis[] = {"X", "Y", "Both"};
int flip_codes_num = sizeof(flip_codes) / sizeof(int);
GpuMat gpu1(cpu1);
GpuMat gpux, gpuy, gpub;
cv::gpu::flip(gpu1, gpux, 0);
cv::gpu::flip(gpu1, gpuy, 1);
cv::gpu::flip(gpu1, gpub, -1);
int test_res = CvTS::OK;
return (CheckNorm(cpux, gpux) == CvTS::OK &&
CheckNorm(cpuy, gpuy) == CvTS::OK &&
CheckNorm(cpub, gpub) == CvTS::OK) ? CvTS::OK : CvTS::FAIL_GENERIC;
for (int i = 0; i < flip_codes_num; ++i)
{
Mat cpu_res;
cv::flip(cpu1, cpu_res, flip_codes[i]);
GpuMat gpu1(cpu1);
GpuMat gpu_res;
cv::gpu::flip(gpu1, gpu_res, flip_codes[i]);
if (CheckNorm(cpu_res, gpu_res) != CvTS::OK)
{
ts->printf(CvTS::CONSOLE, "\nFlip Axis: %s\n", flip_axis[i]);
test_res = CvTS::FAIL_GENERIC;
}
}
return test_res;
}
CV_GpuNppImageFlipTest CV_GpuNppImageFlip_test;
@ -600,25 +648,28 @@ int CV_GpuNppImageResizeTest::test( const Mat& cpu1, const Mat& )
if (cpu1.type() != CV_8UC1 && cpu1.type() != CV_8UC4)
return CvTS::OK;
Mat cpunn, cpulin, cpucub, cpulanc;
cv::resize(cpu1, cpunn, Size(), 0.5, 0.5, INTER_NEAREST);
cv::resize(cpu1, cpulin, Size(), 0.5, 0.5, INTER_LINEAR);
cv::resize(cpu1, cpucub, Size(), 0.5, 0.5, INTER_CUBIC);
cv::resize(cpu1, cpulanc, Size(), 0.5, 0.5, INTER_LANCZOS4);
int interpolations[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_LANCZOS4};
const char* interpolations_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_LANCZOS4"};
int interpolations_num = sizeof(interpolations) / sizeof(int);
GpuMat gpu1(cpu1);
GpuMat gpunn, gpulin, gpucub, gpulanc;
cv::gpu::resize(gpu1, gpunn, Size(), 0.5, 0.5, INTER_NEAREST);
cv::gpu::resize(gpu1, gpulin, Size(), 0.5, 0.5, INTER_LINEAR);
cv::gpu::resize(gpu1, gpucub, Size(), 0.5, 0.5, INTER_CUBIC);
cv::gpu::resize(gpu1, gpulanc, Size(), 0.5, 0.5, INTER_LANCZOS4);
int test_res = CvTS::OK;
int nnres =CheckNorm(cpunn, gpunn);
int linres = CheckNorm(cpulin, gpulin);
int cubres = CheckNorm(cpucub, gpucub);
int lancres = CheckNorm(cpulanc, gpulanc);
for (int i = 0; i < interpolations_num; ++i)
{
Mat cpu_res;
cv::resize(cpu1, cpu_res, Size(), 0.5, 0.5, interpolations[i]);
return (nnres == CvTS::OK && linres == CvTS::OK && cubres == CvTS::OK && lancres == CvTS::OK) ? CvTS::OK : CvTS::FAIL_GENERIC;
GpuMat gpu1(cpu1), gpu_res;
cv::gpu::resize(gpu1, gpu_res, Size(), 0.5, 0.5, interpolations[i]);
if (CheckNorm(cpu_res, gpu_res) != CvTS::OK)
{
ts->printf(CvTS::CONSOLE, "\nInterpolation type: %s\n", interpolations_str[i]);
test_res = CvTS::FAIL_GENERIC;
}
}
return test_res;
}
CV_GpuNppImageResizeTest CV_GpuNppImageResize_test;
@ -744,14 +795,29 @@ int CV_GpuNppImageWarpAffineTest::test( const Mat& cpu1, const Mat& )
if (cpu1.type() == CV_32SC1)
return CvTS::OK;
Mat cpudst;
cv::warpAffine(cpu1, cpudst, M, cpu1.size(), INTER_CUBIC | WARP_INVERSE_MAP);
int flags[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_NEAREST | WARP_INVERSE_MAP, INTER_LINEAR | WARP_INVERSE_MAP, INTER_CUBIC | WARP_INVERSE_MAP};
const char* flags_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_NEAREST | WARP_INVERSE_MAP", "INTER_LINEAR | WARP_INVERSE_MAP", "INTER_CUBIC | WARP_INVERSE_MAP"};
int flags_num = sizeof(flags) / sizeof(int);
GpuMat gpu1(cpu1);
GpuMat gpudst;
cv::gpu::warpAffine(gpu1, gpudst, M, gpu1.size(), INTER_CUBIC | WARP_INVERSE_MAP);
int test_res = CvTS::OK;
return CheckNorm(cpudst, gpudst);
for (int i = 0; i < flags_num; ++i)
{
Mat cpudst;
cv::warpAffine(cpu1, cpudst, M, cpu1.size(), flags[i]);
GpuMat gpu1(cpu1);
GpuMat gpudst;
cv::gpu::warpAffine(gpu1, gpudst, M, gpu1.size(), flags[i]);
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
{
ts->printf(CvTS::CONSOLE, "\nFlags: %s\n", flags_str[i]);
test_res = CvTS::FAIL_GENERIC;
}
}
return test_res;
}
CV_GpuNppImageWarpAffineTest CV_GpuNppImageWarpAffine_test;
@ -784,14 +850,29 @@ int CV_GpuNppImageWarpPerspectiveTest::test( const Mat& cpu1, const Mat& )
if (cpu1.type() == CV_32SC1)
return CvTS::OK;
Mat cpudst;
cv::warpPerspective(cpu1, cpudst, M, cpu1.size(), INTER_CUBIC | WARP_INVERSE_MAP);
int flags[] = {INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_NEAREST | WARP_INVERSE_MAP, INTER_LINEAR | WARP_INVERSE_MAP, INTER_CUBIC | WARP_INVERSE_MAP};
const char* flags_str[] = {"INTER_NEAREST", "INTER_LINEAR", "INTER_CUBIC", "INTER_NEAREST | WARP_INVERSE_MAP", "INTER_LINEAR | WARP_INVERSE_MAP", "INTER_CUBIC | WARP_INVERSE_MAP"};
int flags_num = sizeof(flags) / sizeof(int);
GpuMat gpu1(cpu1);
GpuMat gpudst;
cv::gpu::warpPerspective(gpu1, gpudst, M, gpu1.size(), INTER_CUBIC | WARP_INVERSE_MAP);
int test_res = CvTS::OK;
return CheckNorm(cpudst, gpudst);
for (int i = 0; i < flags_num; ++i)
{
Mat cpudst;
cv::warpPerspective(cpu1, cpudst, M, cpu1.size(), flags[i]);
GpuMat gpu1(cpu1);
GpuMat gpudst;
cv::gpu::warpPerspective(gpu1, gpudst, M, gpu1.size(), flags[i]);
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
{
ts->printf(CvTS::CONSOLE, "\nFlags: %s\n", flags_str[i]);
test_res = CvTS::FAIL_GENERIC;
}
}
return test_res;
}
CV_GpuNppImageWarpPerspectiveTest CV_GpuNppImageWarpPerspective_test;
CV_GpuNppImageWarpPerspectiveTest CV_GpuNppImageWarpPerspective_test;

13
tests/gpu/src/operator_async_call.cpp
View File

@ -143,7 +143,16 @@ void CV_GpuMatAsyncCallTest::run( int /* start_from */)
Mat cpumat(rows, cols, CV_8U);
cpumat.setTo(Scalar::all(127));
is_test_good &= compare_matrix(cpumat);
try
{
is_test_good &= compare_matrix(cpumat);
}
catch(cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
if (is_test_good == true)
ts->set_failed_test_info(CvTS::OK);
@ -151,4 +160,4 @@ void CV_GpuMatAsyncCallTest::run( int /* start_from */)
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
}
CV_GpuMatAsyncCallTest CV_GpuMatAsyncCall_test;
//CV_GpuMatAsyncCallTest CV_GpuMatAsyncCall_test;

6
tests/gpu/src/operator_convert_to.cpp
View File

@ -115,10 +115,12 @@ void CV_GpuMatOpConvertToTest::run(int /* start_from */)
}
catch(cv::Exception& e)
{
ts->printf(CvTS::CONSOLE, "\nERROR: %s\n", e.what());
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(passed ? CvTS::OK : CvTS::FAIL_GENERIC);
}
CV_GpuMatOpConvertToTest CV_GpuMatOpConvertToTest_test;

19
tests/gpu/src/operator_copy_to.cpp
View File

@ -136,14 +136,23 @@ void CV_GpuMatOpCopyToTest::run( int /* start_from */)
{
bool is_test_good = true;
for (int i = 0 ; i < 7; i++)
try
{
Mat cpumat(rows, cols, i);
cpumat.setTo(Scalar::all(127));
for (int i = 0 ; i < 7; i++)
{
Mat cpumat(rows, cols, i);
cpumat.setTo(Scalar::all(127));
GpuMat gpumat(cpumat);
GpuMat gpumat(cpumat);
is_test_good &= compare_matrix(cpumat, gpumat);
is_test_good &= compare_matrix(cpumat, gpumat);
}
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
if (is_test_good == true)

17
tests/gpu/src/operator_set_to.cpp
View File

@ -132,11 +132,20 @@ void CV_GpuMatOpSetToTest::run( int /* start_from */)
{
bool is_test_good = true;
for (int i = 0; i < 7; i++)
try
{
Mat cpumat(rows, cols, i, Scalar::all(0));
GpuMat gpumat(cpumat);
is_test_good &= compare_matrix(cpumat, gpumat);
for (int i = 0; i < 7; i++)
{
Mat cpumat(rows, cols, i, Scalar::all(0));
GpuMat gpumat(cpumat);
is_test_good &= compare_matrix(cpumat, gpumat);
}
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
if (is_test_good == true)

32
tests/gpu/src/stereo_bm.cpp
View File

@ -70,18 +70,30 @@ void CV_GpuStereoBMTest::run(int )
return;
}
cv::gpu::GpuMat disp;
cv::gpu::StereoBM_GPU bm(0, 128, 19);
bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBM_GPU bm(0, 128, 19);
bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
disp.convertTo(disp, img_reference.type());
double norm = cv::norm(disp, img_reference, cv::NORM_INF);
disp.convertTo(disp, img_reference.type());
double norm = cv::norm(disp, img_reference, cv::NORM_INF);
if (norm >= 100)
ts->printf(CvTS::CONSOLE, "\nStereoBM norm = %f\n", norm);
ts->set_failed_test_info((norm < 100) ? CvTS::OK : CvTS::FAIL_GENERIC);
if (norm >= 100)
{
ts->printf(CvTS::CONSOLE, "\nStereoBM norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
CV_GpuStereoBMTest CV_GpuStereoBM_test;

39
tests/gpu/src/stereo_bm_async.cpp
View File

@ -74,24 +74,37 @@ void CV_GpuMatAsyncCallStereoBMTest::run( int /* start_from */)
return;
}
cv::gpu::GpuMat disp;
cv::gpu::StereoBM_GPU bm(0, 128, 19);
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBM_GPU bm(0, 128, 19);
cv::gpu::Stream stream;
cv::gpu::Stream stream;
for (size_t i = 0; i < 50; i++)
{
bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp, stream);
}
for (size_t i = 0; i < 50; i++)
{
bm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp, stream);
}
stream.waitForCompletion();
disp.convertTo(disp, img_reference.type());
double norm = cv::norm(disp, img_reference, cv::NORM_INF);
stream.waitForCompletion();
disp.convertTo(disp, img_reference.type());
double norm = cv::norm(disp, img_reference, cv::NORM_INF);
if (norm >= 100)
ts->printf(CvTS::CONSOLE, "\nStereoBM norm = %f\n", norm);
ts->set_failed_test_info((norm < 100) ? CvTS::OK : CvTS::FAIL_GENERIC);
if (norm >= 100)
{
ts->printf(CvTS::CONSOLE, "\nStereoBM norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
CV_GpuMatAsyncCallStereoBMTest CV_GpuMatAsyncCallStereoBMTest_test;

35
tests/gpu/src/stereo_bp.cpp
View File

@ -69,20 +69,33 @@ void CV_GpuStereoBPTest::run(int )
return;
}
cv::gpu::GpuMat disp;
cv::gpu::StereoBeliefPropagation bpm(64, 8, 2, 25, 0.1f, 15, 1, CV_16S);
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoBeliefPropagation bpm(64, 8, 2, 25, 0.1f, 15, 1, CV_16S);
bpm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
bpm(cv::gpu::GpuMat(img_l), cv::gpu::GpuMat(img_r), disp);
//cv::imwrite(std::string(ts->get_data_path()) + "stereobp/aloe-disp.png", disp);
//cv::imwrite(std::string(ts->get_data_path()) + "stereobp/aloe-disp.png", disp);
disp.convertTo(disp, img_template.type());
disp.convertTo(disp, img_template.type());
double norm = cv::norm(disp, img_template, cv::NORM_INF);
if (norm >= 0.5)
ts->printf(CvTS::CONSOLE, "\nStereoBP norm = %f\n", norm);
ts->set_failed_test_info((norm < 0.5) ? CvTS::OK : CvTS::FAIL_GENERIC);
double norm = cv::norm(disp, img_template, cv::NORM_INF);
if (norm >= 0.5)
{
ts->printf(CvTS::CONSOLE, "\nStereoBP norm = %f\n", norm);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
CV_GpuStereoBPTest CV_GpuStereoBP_test;
CV_GpuStereoBPTest CV_GpuStereoBP_test;

36
tests/gpu/src/stereo_csbp.cpp
View File

@ -59,16 +59,18 @@ CV_GpuStereoCSBPTest::CV_GpuStereoCSBPTest(): CvTest( "GPU-StereoCSBP", "Constan
void CV_GpuStereoCSBPTest::run(int )
{
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-L.png");
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-R.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-disp.png", 0);
cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-L.png");
cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-R.png");
cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "csstereobp/aloe-disp.png", 0);
if (img_l.empty() || img_r.empty() || img_template.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
if (img_l.empty() || img_r.empty() || img_template.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
try
{
cv::gpu::GpuMat disp;
cv::gpu::StereoConstantSpaceBP bpm(128, 16, 4, 4);
@ -79,9 +81,21 @@ void CV_GpuStereoCSBPTest::run(int )
disp.convertTo(disp, img_template.type());
double norm = cv::norm(disp, img_template, cv::NORM_INF);
if (norm >= 0.5)
if (norm >= 0.5)
{
ts->printf(CvTS::CONSOLE, "\nConstantSpaceStereoBP norm = %f\n", norm);
ts->set_failed_test_info((norm < 0.5) ? CvTS::OK : CvTS::FAIL_GENERIC);
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
CV_GpuStereoCSBPTest CV_GpuCSStereoBP_test;
CV_GpuStereoCSBPTest CV_GpuCSStereoBP_test;