/*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::gpu; #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) void cv::gpu::cornerHarris(const GpuMat&, GpuMat&, int, int, double, int) { throw_no_cuda(); } void cv::gpu::cornerHarris(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, double, int) { throw_no_cuda(); } void cv::gpu::cornerHarris(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, double, int, Stream&) { throw_no_cuda(); } void cv::gpu::cornerMinEigenVal(const GpuMat&, GpuMat&, int, int, int) { throw_no_cuda(); } void cv::gpu::cornerMinEigenVal(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, int) { throw_no_cuda(); } void cv::gpu::cornerMinEigenVal(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, int, Stream&) { throw_no_cuda(); } #else /* !defined (HAVE_CUDA) */ namespace cv { namespace gpu { namespace cudev { 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 { void extractCovData(const GpuMat& src, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, int borderType, Stream& stream) { double scale = static_cast(1 << ((ksize > 0 ? ksize : 3) - 1)) * blockSize; if (ksize < 0) scale *= 2.; if (src.depth() == CV_8U) scale *= 255.; scale = 1./scale; Dx.create(src.size(), CV_32F); Dy.create(src.size(), CV_32F); if (ksize > 0) { Sobel(src, Dx, CV_32F, 1, 0, buf, ksize, scale, borderType, -1, stream); Sobel(src, Dy, CV_32F, 0, 1, buf, ksize, scale, borderType, -1, stream); } else { Scharr(src, Dx, CV_32F, 1, 0, buf, scale, borderType, -1, stream); Scharr(src, Dy, CV_32F, 0, 1, buf, scale, borderType, -1, stream); } } } void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, double k, int borderType) { GpuMat Dx, Dy; cornerHarris(src, dst, Dx, Dy, blockSize, ksize, k, borderType); } void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, double k, int borderType) { GpuMat buf; cornerHarris(src, dst, Dx, Dy, buf, blockSize, ksize, k, borderType); } void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, double k, int borderType, Stream& stream) { using namespace cv::gpu::cudev::imgproc; CV_Assert(borderType == cv::BORDER_REFLECT101 || borderType == cv::BORDER_REPLICATE || borderType == cv::BORDER_REFLECT); extractCovData(src, Dx, Dy, buf, blockSize, ksize, borderType, stream); dst.create(src.size(), CV_32F); cornerHarris_gpu(blockSize, static_cast(k), Dx, Dy, dst, borderType, StreamAccessor::getStream(stream)); } void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType) { GpuMat Dx, Dy; cornerMinEigenVal(src, dst, Dx, Dy, blockSize, ksize, borderType); } void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, int borderType) { GpuMat buf; cornerMinEigenVal(src, dst, Dx, Dy, buf, blockSize, ksize, borderType); } void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, int borderType, Stream& stream) { using namespace ::cv::gpu::cudev::imgproc; CV_Assert(borderType == cv::BORDER_REFLECT101 || borderType == cv::BORDER_REPLICATE || borderType == cv::BORDER_REFLECT); extractCovData(src, Dx, Dy, buf, blockSize, ksize, borderType, stream); dst.create(src.size(), CV_32F); cornerMinEigenVal_gpu(blockSize, Dx, Dy, dst, borderType, StreamAccessor::getStream(stream)); } #endif /* !defined (HAVE_CUDA) */