/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other GpuMaterials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or bpied warranties, including, but not limited to, the bpied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" using namespace cv; using namespace cv::gpu; using namespace std; #if !defined (HAVE_CUDA) void cv::gpu::transpose(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); } void cv::gpu::flip(const GpuMat&, GpuMat&, int, Stream&) { throw_nogpu(); } void cv::gpu::LUT(const GpuMat&, const Mat&, GpuMat&, Stream&) { throw_nogpu(); } void cv::gpu::exp(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); } void cv::gpu::log(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); } void cv::gpu::magnitude(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); } void cv::gpu::magnitudeSqr(const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); } void cv::gpu::magnitude(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); } void cv::gpu::magnitudeSqr(const GpuMat&, const GpuMat&, GpuMat&, Stream&) { throw_nogpu(); } void cv::gpu::phase(const GpuMat&, const GpuMat&, GpuMat&, bool, Stream&) { throw_nogpu(); } void cv::gpu::cartToPolar(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool, Stream&) { throw_nogpu(); } void cv::gpu::polarToCart(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool, Stream&) { throw_nogpu(); } #else /* !defined (HAVE_CUDA) */ //////////////////////////////////////////////////////////////////////// // transpose void cv::gpu::transpose(const GpuMat& src, GpuMat& dst, Stream& s) { CV_Assert(src.elemSize() == 1 || src.elemSize() == 4 || src.elemSize() == 8); dst.create( src.cols, src.rows, src.type() ); cudaStream_t stream = StreamAccessor::getStream(s); if (src.elemSize() == 1) { NppStreamHandler h(stream); NppiSize sz; sz.width = src.cols; sz.height = src.rows; nppSafeCall( nppiTranspose_8u_C1R(src.ptr(), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz) ); } else if (src.elemSize() == 4) { NppStStreamHandler h(stream); NcvSize32u sz; sz.width = src.cols; sz.height = src.rows; nppSafeCall( nppiStTranspose_32u_C1R(const_cast(src.ptr()), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz) ); } else // if (src.elemSize() == 8) { NppStStreamHandler h(stream); NcvSize32u sz; sz.width = src.cols; sz.height = src.rows; nppSafeCall( nppiStTranspose_64u_C1R(const_cast(src.ptr()), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz) ); } if (stream == 0) cudaSafeCall( cudaDeviceSynchronize() ); } //////////////////////////////////////////////////////////////////////// // flip void cv::gpu::flip(const GpuMat& src, GpuMat& dst, int flipCode, Stream& s) { CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC4); dst.create( src.size(), src.type() ); NppiSize sz; sz.width = src.cols; sz.height = src.rows; cudaStream_t stream = StreamAccessor::getStream(s); NppStreamHandler h(stream); if (src.type() == CV_8UC1) { nppSafeCall( nppiMirror_8u_C1R(src.ptr(), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz, (flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) ); } else { nppSafeCall( nppiMirror_8u_C4R(src.ptr(), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz, (flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) ); } if (stream == 0) cudaSafeCall( cudaDeviceSynchronize() ); } //////////////////////////////////////////////////////////////////////// // LUT void cv::gpu::LUT(const GpuMat& src, const Mat& lut, GpuMat& dst, Stream& s) { class LevelsInit { public: Npp32s pLevels[256]; const Npp32s* pLevels3[3]; int nValues3[3]; LevelsInit() { nValues3[0] = nValues3[1] = nValues3[2] = 256; for (int i = 0; i < 256; ++i) pLevels[i] = i; pLevels3[0] = pLevels3[1] = pLevels3[2] = pLevels; } }; static LevelsInit lvls; int cn = src.channels(); CV_Assert(src.type() == CV_8UC1 || src.type() == CV_8UC3); CV_Assert(lut.depth() == CV_8U && (lut.channels() == 1 || lut.channels() == cn) && lut.rows * lut.cols == 256 && lut.isContinuous()); dst.create(src.size(), CV_MAKETYPE(lut.depth(), cn)); NppiSize sz; sz.height = src.rows; sz.width = src.cols; Mat nppLut; lut.convertTo(nppLut, CV_32S); cudaStream_t stream = StreamAccessor::getStream(s); NppStreamHandler h(stream); if (src.type() == CV_8UC1) { nppSafeCall( nppiLUT_Linear_8u_C1R(src.ptr(), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz, nppLut.ptr(), lvls.pLevels, 256) ); } else { Mat nppLut3[3]; const Npp32s* pValues3[3]; if (nppLut.channels() == 1) pValues3[0] = pValues3[1] = pValues3[2] = nppLut.ptr(); else { cv::split(nppLut, nppLut3); pValues3[0] = nppLut3[0].ptr(); pValues3[1] = nppLut3[1].ptr(); pValues3[2] = nppLut3[2].ptr(); } nppSafeCall( nppiLUT_Linear_8u_C3R(src.ptr(), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz, pValues3, lvls.pLevels3, lvls.nValues3) ); } if (stream == 0) cudaSafeCall( cudaDeviceSynchronize() ); } //////////////////////////////////////////////////////////////////////// // exp void cv::gpu::exp(const GpuMat& src, GpuMat& dst, Stream& s) { CV_Assert(src.type() == CV_32FC1); dst.create(src.size(), src.type()); NppiSize sz; sz.width = src.cols; sz.height = src.rows; cudaStream_t stream = StreamAccessor::getStream(s); NppStreamHandler h(stream); nppSafeCall( nppiExp_32f_C1R(src.ptr(), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz) ); if (stream == 0) cudaSafeCall( cudaDeviceSynchronize() ); } //////////////////////////////////////////////////////////////////////// // log void cv::gpu::log(const GpuMat& src, GpuMat& dst, Stream& s) { CV_Assert(src.type() == CV_32FC1); dst.create(src.size(), src.type()); NppiSize sz; sz.width = src.cols; sz.height = src.rows; cudaStream_t stream = StreamAccessor::getStream(s); NppStreamHandler h(stream); nppSafeCall( nppiLn_32f_C1R(src.ptr(), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz) ); if (stream == 0) cudaSafeCall( cudaDeviceSynchronize() ); } //////////////////////////////////////////////////////////////////////// // NPP magnitide namespace { typedef NppStatus (*nppMagnitude_t)(const Npp32fc* pSrc, int nSrcStep, Npp32f* pDst, int nDstStep, NppiSize oSizeROI); inline void npp_magnitude(const GpuMat& src, GpuMat& dst, nppMagnitude_t func, cudaStream_t stream) { CV_Assert(src.type() == CV_32FC2); dst.create(src.size(), CV_32FC1); NppiSize sz; sz.width = src.cols; sz.height = src.rows; NppStreamHandler h(stream); nppSafeCall( func(src.ptr(), static_cast(src.step), dst.ptr(), static_cast(dst.step), sz) ); if (stream == 0) cudaSafeCall( cudaDeviceSynchronize() ); } } void cv::gpu::magnitude(const GpuMat& src, GpuMat& dst, Stream& stream) { ::npp_magnitude(src, dst, nppiMagnitude_32fc32f_C1R, StreamAccessor::getStream(stream)); } void cv::gpu::magnitudeSqr(const GpuMat& src, GpuMat& dst, Stream& stream) { ::npp_magnitude(src, dst, nppiMagnitudeSqr_32fc32f_C1R, StreamAccessor::getStream(stream)); } //////////////////////////////////////////////////////////////////////// // Polar <-> Cart namespace cv { namespace gpu { namespace mathfunc { void cartToPolar_gpu(const DevMem2Df& x, const DevMem2Df& y, const DevMem2Df& mag, bool magSqr, const DevMem2Df& angle, bool angleInDegrees, cudaStream_t stream); void polarToCart_gpu(const DevMem2Df& mag, const DevMem2Df& angle, const DevMem2Df& x, const DevMem2Df& y, bool angleInDegrees, cudaStream_t stream); }}} namespace { inline void cartToPolar_caller(const GpuMat& x, const GpuMat& y, GpuMat* mag, bool magSqr, GpuMat* angle, bool angleInDegrees, cudaStream_t stream) { CV_DbgAssert(x.size() == y.size() && x.type() == y.type()); CV_Assert(x.depth() == CV_32F); if (mag) mag->create(x.size(), x.type()); if (angle) angle->create(x.size(), x.type()); GpuMat x1cn = x.reshape(1); GpuMat y1cn = y.reshape(1); GpuMat mag1cn = mag ? mag->reshape(1) : GpuMat(); GpuMat angle1cn = angle ? angle->reshape(1) : GpuMat(); mathfunc::cartToPolar_gpu(x1cn, y1cn, mag1cn, magSqr, angle1cn, angleInDegrees, stream); } inline void polarToCart_caller(const GpuMat& mag, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees, cudaStream_t stream) { CV_DbgAssert((mag.empty() || mag.size() == angle.size()) && mag.type() == angle.type()); CV_Assert(mag.depth() == CV_32F); x.create(mag.size(), mag.type()); y.create(mag.size(), mag.type()); GpuMat mag1cn = mag.reshape(1); GpuMat angle1cn = angle.reshape(1); GpuMat x1cn = x.reshape(1); GpuMat y1cn = y.reshape(1); mathfunc::polarToCart_gpu(mag1cn, angle1cn, x1cn, y1cn, angleInDegrees, stream); } } void cv::gpu::magnitude(const GpuMat& x, const GpuMat& y, GpuMat& dst, Stream& stream) { ::cartToPolar_caller(x, y, &dst, false, 0, false, StreamAccessor::getStream(stream)); } void cv::gpu::magnitudeSqr(const GpuMat& x, const GpuMat& y, GpuMat& dst, Stream& stream) { ::cartToPolar_caller(x, y, &dst, true, 0, false, StreamAccessor::getStream(stream)); } void cv::gpu::phase(const GpuMat& x, const GpuMat& y, GpuMat& angle, bool angleInDegrees, Stream& stream) { ::cartToPolar_caller(x, y, 0, false, &angle, angleInDegrees, StreamAccessor::getStream(stream)); } void cv::gpu::cartToPolar(const GpuMat& x, const GpuMat& y, GpuMat& mag, GpuMat& angle, bool angleInDegrees, Stream& stream) { ::cartToPolar_caller(x, y, &mag, false, &angle, angleInDegrees, StreamAccessor::getStream(stream)); } void cv::gpu::polarToCart(const GpuMat& magnitude, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees, Stream& stream) { ::polarToCart_caller(magnitude, angle, x, y, angleInDegrees, StreamAccessor::getStream(stream)); } #endif /* !defined (HAVE_CUDA) */