mirror of
https://github.com/opencv/opencv.git
synced 2026-07-29 15:23:05 +04:00
added gpu version of LUT, integral, boxFilter and cvtColor (RGB <-> YCrCb), based on NPP.
minor refactoring of GPU module and GPU tests, split arithm and imgproc parts.
This commit is contained in:
Vladislav Vinogradov
@@ -55,6 +55,14 @@ void cv::gpu::reprojectImageTo3D(const GpuMat&, GpuMat&, const Mat&) { throw_nog
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void cv::gpu::reprojectImageTo3D(const GpuMat&, GpuMat&, const Mat&, const Stream&) { throw_nogpu(); }
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void cv::gpu::cvtColor(const GpuMat&, GpuMat&, int, int) { throw_nogpu(); }
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void cv::gpu::cvtColor(const GpuMat&, GpuMat&, int, int, const Stream&) { throw_nogpu(); }
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double cv::gpu::threshold(const GpuMat&, GpuMat&, double) { throw_nogpu(); return 0.0; }
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void cv::gpu::resize(const GpuMat&, GpuMat&, Size, double, double, int) { throw_nogpu(); }
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void cv::gpu::copyMakeBorder(const GpuMat&, GpuMat&, int, int, int, int, const Scalar&) { throw_nogpu(); }
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void cv::gpu::warpAffine(const GpuMat&, GpuMat&, const Mat&, Size, int) { throw_nogpu(); }
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void cv::gpu::warpPerspective(const GpuMat&, GpuMat&, const Mat&, Size, int) { throw_nogpu(); }
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void cv::gpu::rotate(const GpuMat&, GpuMat&, Size, double, double, double, int) { throw_nogpu(); }
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void cv::gpu::integral(GpuMat&, GpuMat&, GpuMat&) { throw_nogpu(); }
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void cv::gpu::boxFilter(const GpuMat&, GpuMat&, Size, Point) { throw_nogpu(); }
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#else /* !defined (HAVE_CUDA) */
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@@ -73,6 +81,10 @@ namespace cv { namespace gpu
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void reprojectImageTo3D_gpu(const DevMem2D& disp, const DevMem2Df& xyzw, const float* q, const cudaStream_t& stream);
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void reprojectImageTo3D_gpu(const DevMem2D_<short>& disp, const DevMem2Df& xyzw, const float* q, const cudaStream_t& stream);
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void swapChannels_gpu(const DevMem2D& src, const DevMem2D& dst, int cn, const int* coeffs, cudaStream_t stream);
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void swapChannels_gpu(const DevMem2D_<ushort>& src, const DevMem2D_<ushort>& dst, int cn, const int* coeffs, cudaStream_t stream);
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void swapChannels_gpu(const DevMem2Df& src, const DevMem2Df& dst, int cn, const int* coeffs, cudaStream_t stream);
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void RGB2RGB_gpu(const DevMem2D& src, int srccn, const DevMem2D& dst, int dstcn, int bidx, cudaStream_t stream);
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void RGB2RGB_gpu(const DevMem2D_<ushort>& src, int srccn, const DevMem2D_<ushort>& dst, int dstcn, int bidx, cudaStream_t stream);
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void RGB2RGB_gpu(const DevMem2Df& src, int srccn, const DevMem2Df& dst, int dstcn, int bidx, cudaStream_t stream);
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@@ -218,6 +230,10 @@ namespace
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if (dst.data != src.data)
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out = dst;
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NppiSize nppsz;
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nppsz.height = src.rows;
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nppsz.width = src.cols;
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switch (code)
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{
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case CV_BGR2BGRA: case CV_RGB2BGRA: case CV_BGRA2BGR:
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@@ -305,6 +321,31 @@ namespace
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// CvtColorLoop(src, dst, Gray2RGB5x5(code == CV_GRAY2BGR565 ? 6 : 5));
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// break;
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case CV_RGB2YCrCb:
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CV_Assert(scn == 3 && depth == CV_8U);
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out.create(sz, CV_MAKETYPE(depth, 3));
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nppSafeCall( nppiRGBToYCbCr_8u_C3R(src.ptr<Npp8u>(), src.step, out.ptr<Npp8u>(), out.step, nppsz) );
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{
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static int coeffs[] = {0, 2, 1};
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improc::swapChannels_gpu((DevMem2D)out, (DevMem2D)out, 3, coeffs, 0);
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}
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break;
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case CV_YCrCb2RGB:
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CV_Assert(scn == 3 && depth == CV_8U);
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out.create(sz, CV_MAKETYPE(depth, 3));
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{
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static int coeffs[] = {0, 2, 1};
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GpuMat src1(src.size(), src.type());
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improc::swapChannels_gpu((DevMem2D)src, (DevMem2D)src1, 3, coeffs, 0);
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nppSafeCall( nppiYCbCrToRGB_8u_C3R(src1.ptr<Npp8u>(), src1.step, out.ptr<Npp8u>(), out.step, nppsz) );
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}
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break;
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//case CV_BGR2YCrCb: case CV_RGB2YCrCb:
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//case CV_BGR2YUV: case CV_RGB2YUV:
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// {
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@@ -526,4 +567,366 @@ void cv::gpu::cvtColor(const GpuMat& src, GpuMat& dst, int code, int dcn, const
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cvtColor_caller(src, dst, code, dcn, StreamAccessor::getStream(stream));
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}
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////////////////////////////////////////////////////////////////////////
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// threshold
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double cv::gpu::threshold(const GpuMat& src, GpuMat& dst, double thresh)
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{
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CV_Assert(src.type() == CV_32FC1)
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dst.create( src.size(), src.type() );
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NppiSize sz;
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sz.width = src.cols;
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sz.height = src.rows;
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nppSafeCall( nppiThreshold_32f_C1R(src.ptr<Npp32f>(), src.step,
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dst.ptr<Npp32f>(), dst.step, sz, static_cast<Npp32f>(thresh), NPP_CMP_GREATER) );
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return thresh;
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}
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////////////////////////////////////////////////////////////////////////
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// resize
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void cv::gpu::resize(const GpuMat& src, GpuMat& dst, Size dsize, double fx, double fy, int interpolation)
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{
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static const int npp_inter[] = {NPPI_INTER_NN, NPPI_INTER_LINEAR, NPPI_INTER_CUBIC, 0, NPPI_INTER_LANCZOS};
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CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
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CV_Assert(interpolation == INTER_NEAREST || interpolation == INTER_LINEAR || interpolation == INTER_CUBIC || interpolation == INTER_LANCZOS4);
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CV_Assert( src.size().area() > 0 );
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CV_Assert( !(dsize == Size()) || (fx > 0 && fy > 0) );
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if( dsize == Size() )
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{
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dsize = Size(saturate_cast<int>(src.cols * fx), saturate_cast<int>(src.rows * fy));
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}
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else
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{
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fx = (double)dsize.width / src.cols;
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fy = (double)dsize.height / src.rows;
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}
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dst.create(dsize, src.type());
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NppiSize srcsz;
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srcsz.width = src.cols;
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srcsz.height = src.rows;
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NppiRect srcrect;
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srcrect.x = srcrect.y = 0;
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srcrect.width = src.cols;
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srcrect.height = src.rows;
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NppiSize dstsz;
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dstsz.width = dst.cols;
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dstsz.height = dst.rows;
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if (src.type() == CV_8UC1)
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{
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nppSafeCall( nppiResize_8u_C1R(src.ptr<Npp8u>(), srcsz, src.step, srcrect,
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dst.ptr<Npp8u>(), dst.step, dstsz, fx, fy, npp_inter[interpolation]) );
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}
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else
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{
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nppSafeCall( nppiResize_8u_C4R(src.ptr<Npp8u>(), srcsz, src.step, srcrect,
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dst.ptr<Npp8u>(), dst.step, dstsz, fx, fy, npp_inter[interpolation]) );
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}
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}
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////////////////////////////////////////////////////////////////////////
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// copyMakeBorder
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void cv::gpu::copyMakeBorder(const GpuMat& src, GpuMat& dst, int top, int bottom, int left, int right, const Scalar& value)
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{
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CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4 || src.type() == CV_32SC1);
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dst.create(src.rows + top + bottom, src.cols + left + right, src.type());
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NppiSize srcsz;
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srcsz.width = src.cols;
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srcsz.height = src.rows;
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NppiSize dstsz;
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dstsz.width = dst.cols;
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dstsz.height = dst.rows;
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switch (src.type())
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{
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case CV_8UC1:
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{
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Npp8u nVal = static_cast<Npp8u>(value[0]);
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nppSafeCall( nppiCopyConstBorder_8u_C1R(src.ptr<Npp8u>(), src.step, srcsz,
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dst.ptr<Npp8u>(), dst.step, dstsz, top, left, nVal) );
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break;
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}
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case CV_8UC4:
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{
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Npp8u nVal[] = {static_cast<Npp8u>(value[0]), static_cast<Npp8u>(value[1]), static_cast<Npp8u>(value[2]), static_cast<Npp8u>(value[3])};
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nppSafeCall( nppiCopyConstBorder_8u_C4R(src.ptr<Npp8u>(), src.step, srcsz,
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dst.ptr<Npp8u>(), dst.step, dstsz, top, left, nVal) );
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break;
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}
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case CV_32SC1:
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{
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Npp32s nVal = static_cast<Npp32s>(value[0]);
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nppSafeCall( nppiCopyConstBorder_32s_C1R(src.ptr<Npp32s>(), src.step, srcsz,
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dst.ptr<Npp32s>(), dst.step, dstsz, top, left, nVal) );
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break;
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}
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default:
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CV_Assert(!"Unsupported source type");
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}
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}
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////////////////////////////////////////////////////////////////////////
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// warp
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namespace
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{
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typedef NppStatus (*npp_warp_8u_t)(const Npp8u* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp8u* pDst,
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int dstStep, NppiRect dstRoi, const double coeffs[][3],
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int interpolation);
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typedef NppStatus (*npp_warp_16u_t)(const Npp16u* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp16u* pDst,
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int dstStep, NppiRect dstRoi, const double coeffs[][3],
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int interpolation);
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typedef NppStatus (*npp_warp_32s_t)(const Npp32s* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp32s* pDst,
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int dstStep, NppiRect dstRoi, const double coeffs[][3],
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int interpolation);
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typedef NppStatus (*npp_warp_32f_t)(const Npp32f* pSrc, NppiSize srcSize, int srcStep, NppiRect srcRoi, Npp32f* pDst,
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int dstStep, NppiRect dstRoi, const double coeffs[][3],
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int interpolation);
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void nppWarpCaller(const GpuMat& src, GpuMat& dst, double coeffs[][3], const Size& dsize, int flags,
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npp_warp_8u_t npp_warp_8u[][2], npp_warp_16u_t npp_warp_16u[][2],
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npp_warp_32s_t npp_warp_32s[][2], npp_warp_32f_t npp_warp_32f[][2])
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{
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static const int npp_inter[] = {NPPI_INTER_NN, NPPI_INTER_LINEAR, NPPI_INTER_CUBIC};
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int interpolation = flags & INTER_MAX;
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CV_Assert((src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32S || src.depth() == CV_32F) && src.channels() != 2);
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CV_Assert(interpolation == INTER_NEAREST || interpolation == INTER_LINEAR || interpolation == INTER_CUBIC);
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dst.create(dsize, src.type());
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NppiSize srcsz;
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srcsz.height = src.rows;
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srcsz.width = src.cols;
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NppiRect srcroi;
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srcroi.x = srcroi.y = 0;
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srcroi.height = src.rows;
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srcroi.width = src.cols;
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NppiRect dstroi;
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dstroi.x = dstroi.y = 0;
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dstroi.height = dst.rows;
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dstroi.width = dst.cols;
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int warpInd = (flags & WARP_INVERSE_MAP) >> 4;
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switch (src.depth())
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{
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case CV_8U:
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nppSafeCall( npp_warp_8u[src.channels()][warpInd](src.ptr<Npp8u>(), srcsz, src.step, srcroi,
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dst.ptr<Npp8u>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
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break;
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case CV_16U:
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nppSafeCall( npp_warp_16u[src.channels()][warpInd](src.ptr<Npp16u>(), srcsz, src.step, srcroi,
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dst.ptr<Npp16u>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
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break;
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case CV_32S:
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nppSafeCall( npp_warp_32s[src.channels()][warpInd](src.ptr<Npp32s>(), srcsz, src.step, srcroi,
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dst.ptr<Npp32s>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
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break;
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case CV_32F:
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nppSafeCall( npp_warp_32f[src.channels()][warpInd](src.ptr<Npp32f>(), srcsz, src.step, srcroi,
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dst.ptr<Npp32f>(), dst.step, dstroi, coeffs, npp_inter[interpolation]) );
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break;
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default:
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CV_Assert(!"Unsupported source type");
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}
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}
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}
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void cv::gpu::warpAffine(const GpuMat& src, GpuMat& dst, const Mat& M, Size dsize, int flags)
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{
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static npp_warp_8u_t npp_warpAffine_8u[][2] =
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{
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{0, 0},
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{nppiWarpAffine_8u_C1R, nppiWarpAffineBack_8u_C1R},
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{0, 0},
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{nppiWarpAffine_8u_C3R, nppiWarpAffineBack_8u_C3R},
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{nppiWarpAffine_8u_C4R, nppiWarpAffineBack_8u_C4R}
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};
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static npp_warp_16u_t npp_warpAffine_16u[][2] =
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{
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{0, 0},
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{nppiWarpAffine_16u_C1R, nppiWarpAffineBack_16u_C1R},
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{0, 0},
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{nppiWarpAffine_16u_C3R, nppiWarpAffineBack_16u_C3R},
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{nppiWarpAffine_16u_C4R, nppiWarpAffineBack_16u_C4R}
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};
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static npp_warp_32s_t npp_warpAffine_32s[][2] =
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{
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{0, 0},
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{nppiWarpAffine_32s_C1R, nppiWarpAffineBack_32s_C1R},
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{0, 0},
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{nppiWarpAffine_32s_C3R, nppiWarpAffineBack_32s_C3R},
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{nppiWarpAffine_32s_C4R, nppiWarpAffineBack_32s_C4R}
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};
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static npp_warp_32f_t npp_warpAffine_32f[][2] =
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{
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{0, 0},
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{nppiWarpAffine_32f_C1R, nppiWarpAffineBack_32f_C1R},
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{0, 0},
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{nppiWarpAffine_32f_C3R, nppiWarpAffineBack_32f_C3R},
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{nppiWarpAffine_32f_C4R, nppiWarpAffineBack_32f_C4R}
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};
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CV_Assert(M.rows == 2 && M.cols == 3);
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double coeffs[2][3];
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Mat coeffsMat(2, 3, CV_64F, (void*)coeffs);
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M.convertTo(coeffsMat, coeffsMat.type());
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nppWarpCaller(src, dst, coeffs, dsize, flags, npp_warpAffine_8u, npp_warpAffine_16u, npp_warpAffine_32s, npp_warpAffine_32f);
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}
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void cv::gpu::warpPerspective(const GpuMat& src, GpuMat& dst, const Mat& M, Size dsize, int flags)
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{
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static npp_warp_8u_t npp_warpPerspective_8u[][2] =
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{
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{0, 0},
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{nppiWarpPerspective_8u_C1R, nppiWarpPerspectiveBack_8u_C1R},
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{0, 0},
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{nppiWarpPerspective_8u_C3R, nppiWarpPerspectiveBack_8u_C3R},
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{nppiWarpPerspective_8u_C4R, nppiWarpPerspectiveBack_8u_C4R}
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};
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static npp_warp_16u_t npp_warpPerspective_16u[][2] =
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{
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{0, 0},
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{nppiWarpPerspective_16u_C1R, nppiWarpPerspectiveBack_16u_C1R},
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{0, 0},
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{nppiWarpPerspective_16u_C3R, nppiWarpPerspectiveBack_16u_C3R},
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{nppiWarpPerspective_16u_C4R, nppiWarpPerspectiveBack_16u_C4R}
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};
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static npp_warp_32s_t npp_warpPerspective_32s[][2] =
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{
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{0, 0},
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{nppiWarpPerspective_32s_C1R, nppiWarpPerspectiveBack_32s_C1R},
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{0, 0},
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{nppiWarpPerspective_32s_C3R, nppiWarpPerspectiveBack_32s_C3R},
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{nppiWarpPerspective_32s_C4R, nppiWarpPerspectiveBack_32s_C4R}
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};
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static npp_warp_32f_t npp_warpPerspective_32f[][2] =
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{
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{0, 0},
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{nppiWarpPerspective_32f_C1R, nppiWarpPerspectiveBack_32f_C1R},
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{0, 0},
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{nppiWarpPerspective_32f_C3R, nppiWarpPerspectiveBack_32f_C3R},
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{nppiWarpPerspective_32f_C4R, nppiWarpPerspectiveBack_32f_C4R}
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};
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CV_Assert(M.rows == 3 && M.cols == 3);
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double coeffs[3][3];
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Mat coeffsMat(3, 3, CV_64F, (void*)coeffs);
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M.convertTo(coeffsMat, coeffsMat.type());
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nppWarpCaller(src, dst, coeffs, dsize, flags, npp_warpPerspective_8u, npp_warpPerspective_16u, npp_warpPerspective_32s, npp_warpPerspective_32f);
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}
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////////////////////////////////////////////////////////////////////////
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// rotate
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void cv::gpu::rotate(const GpuMat& src, GpuMat& dst, Size dsize, double angle, double xShift, double yShift, int interpolation)
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||||
{
|
||||
static const int npp_inter[] = {NPPI_INTER_NN, NPPI_INTER_LINEAR, NPPI_INTER_CUBIC};
|
||||
|
||||
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
|
||||
CV_Assert(interpolation == INTER_NEAREST || interpolation == INTER_LINEAR || interpolation == INTER_CUBIC);
|
||||
|
||||
dst.create(dsize, src.type());
|
||||
|
||||
NppiSize srcsz;
|
||||
srcsz.height = src.rows;
|
||||
srcsz.width = src.cols;
|
||||
NppiRect srcroi;
|
||||
srcroi.x = srcroi.y = 0;
|
||||
srcroi.height = src.rows;
|
||||
srcroi.width = src.cols;
|
||||
NppiRect dstroi;
|
||||
dstroi.x = dstroi.y = 0;
|
||||
dstroi.height = dst.rows;
|
||||
dstroi.width = dst.cols;
|
||||
|
||||
if (src.type() == CV_8UC1)
|
||||
{
|
||||
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(src.ptr<Npp8u>(), srcsz, src.step, srcroi,
|
||||
dst.ptr<Npp8u>(), dst.step, dstroi, angle, xShift, yShift, npp_inter[interpolation]) );
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// integral
|
||||
|
||||
void cv::gpu::integral(GpuMat& src, GpuMat& sum, GpuMat& sqsum)
|
||||
{
|
||||
CV_Assert(src.type() == CV_8UC1);
|
||||
|
||||
int w = src.cols + 1, h = src.rows + 1;
|
||||
|
||||
sum.create(h, w, CV_32S);
|
||||
sqsum.create(h, w, CV_32F);
|
||||
|
||||
NppiSize sz;
|
||||
sz.width = src.cols;
|
||||
sz.height = src.rows;
|
||||
|
||||
nppSafeCall( nppiSqrIntegral_8u32s32f_C1R(src.ptr<Npp8u>(), src.step, sum.ptr<Npp32s>(),
|
||||
sum.step, sqsum.ptr<Npp32f>(), sqsum.step, sz, 0, 0.0f, h) );
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// boxFilter
|
||||
|
||||
void cv::gpu::boxFilter(const GpuMat& src, GpuMat& dst, Size ksize, Point anchor)
|
||||
{
|
||||
CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4);
|
||||
CV_Assert(ksize.height == 3 || ksize.height == 5 || ksize.height == 7);
|
||||
CV_Assert(ksize.height == ksize.width);
|
||||
|
||||
if (anchor.x == -1)
|
||||
anchor.x = 0;
|
||||
if (anchor.y == -1)
|
||||
anchor.y = 0;
|
||||
|
||||
CV_Assert(anchor.x == 0 && anchor.y == 0);
|
||||
|
||||
dst.create(src.size(), src.type());
|
||||
|
||||
NppiSize srcsz;
|
||||
srcsz.height = src.rows;
|
||||
srcsz.width = src.cols;
|
||||
NppiSize masksz;
|
||||
masksz.height = ksize.height;
|
||||
masksz.width = ksize.width;
|
||||
NppiPoint anc;
|
||||
anc.x = anchor.x;
|
||||
anc.y = anchor.y;
|
||||
|
||||
if (src.type() == CV_8UC1)
|
||||
{
|
||||
nppSafeCall( nppiFilterBox_8u_C1R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, srcsz, masksz, anc) );
|
||||
}
|
||||
else
|
||||
{
|
||||
nppSafeCall( nppiFilterBox_8u_C4R(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, srcsz, masksz, anc) );
|
||||
}
|
||||
}
|
||||
|
||||
#endif /* !defined (HAVE_CUDA) */
|
||||
|
||||
Reference in New Issue
Block a user