/*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 materials 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 implied warranties, including, but not limited to, the implied // 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::cuda; #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || !defined(HAVE_OPENCV_CUDAFILTERS) Ptr cv::cuda::createHarrisCorner(int, int, int, double, int) { throw_no_cuda(); return Ptr(); } Ptr cv::cuda::createMinEigenValCorner(int, int, int, int) { throw_no_cuda(); return Ptr(); } #else /* !defined (HAVE_CUDA) */ namespace cv { namespace cuda { namespace device { namespace imgproc { void cornerHarris_gpu(int block_size, float k, PtrStepSzf Dx, PtrStepSzf Dy, PtrStepSzf dst, int border_type, cudaStream_t stream); void cornerMinEigenVal_gpu(int block_size, PtrStepSzf Dx, PtrStepSzf Dy, PtrStepSzf dst, int border_type, cudaStream_t stream); } }}} namespace { class CornerBase : public CornernessCriteria { protected: CornerBase(int srcType, int blockSize, int ksize, int borderType); void extractCovData(const GpuMat& src, Stream& stream); int srcType_; int blockSize_; int ksize_; int borderType_; GpuMat Dx_, Dy_; private: Ptr filterDx_, filterDy_; }; CornerBase::CornerBase(int srcType, int blockSize, int ksize, int borderType) : srcType_(srcType), blockSize_(blockSize), ksize_(ksize), borderType_(borderType) { CV_Assert( borderType_ == BORDER_REFLECT101 || borderType_ == BORDER_REPLICATE || borderType_ == BORDER_REFLECT ); const int sdepth = CV_MAT_DEPTH(srcType_); const int cn = CV_MAT_CN(srcType_); CV_Assert( cn == 1 ); double scale = static_cast(1 << ((ksize_ > 0 ? ksize_ : 3) - 1)) * blockSize_; if (ksize_ < 0) scale *= 2.; if (sdepth == CV_8U) scale *= 255.; scale = 1./scale; if (ksize_ > 0) { filterDx_ = cuda::createSobelFilter(srcType, CV_32F, 1, 0, ksize_, scale, borderType_); filterDy_ = cuda::createSobelFilter(srcType, CV_32F, 0, 1, ksize_, scale, borderType_); } else { filterDx_ = cuda::createScharrFilter(srcType, CV_32F, 1, 0, scale, borderType_); filterDy_ = cuda::createScharrFilter(srcType, CV_32F, 0, 1, scale, borderType_); } } void CornerBase::extractCovData(const GpuMat& src, Stream& stream) { CV_Assert( src.type() == srcType_ ); filterDx_->apply(src, Dx_, stream); filterDy_->apply(src, Dy_, stream); } class Harris : public CornerBase { public: Harris(int srcType, int blockSize, int ksize, double k, int borderType) : CornerBase(srcType, blockSize, ksize, borderType), k_(static_cast(k)) { } void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null()); private: float k_; }; void Harris::compute(InputArray _src, OutputArray _dst, Stream& stream) { using namespace cv::cuda::device::imgproc; GpuMat src = _src.getGpuMat(); extractCovData(src, stream); _dst.create(src.size(), CV_32FC1); GpuMat dst = _dst.getGpuMat(); cornerHarris_gpu(blockSize_, k_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream)); } class MinEigenVal : public CornerBase { public: MinEigenVal(int srcType, int blockSize, int ksize, int borderType) : CornerBase(srcType, blockSize, ksize, borderType) { } void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null()); private: float k_; }; void MinEigenVal::compute(InputArray _src, OutputArray _dst, Stream& stream) { using namespace cv::cuda::device::imgproc; GpuMat src = _src.getGpuMat(); extractCovData(src, stream); _dst.create(src.size(), CV_32FC1); GpuMat dst = _dst.getGpuMat(); cornerMinEigenVal_gpu(blockSize_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream)); } } Ptr cv::cuda::createHarrisCorner(int srcType, int blockSize, int ksize, double k, int borderType) { return makePtr(srcType, blockSize, ksize, k, borderType); } Ptr cv::cuda::createMinEigenValCorner(int srcType, int blockSize, int ksize, int borderType) { return makePtr(srcType, blockSize, ksize, borderType); } #endif /* !defined (HAVE_CUDA) */