/*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 "opencv2/opencv_modules.hpp" #ifndef HAVE_OPENCV_CUDEV #error "opencv_cudev is required" #else #include "opencv2/cudaarithm.hpp" #include "opencv2/cudev.hpp" #include "opencv2/core/private.cuda.hpp" using namespace cv; using namespace cv::cuda; using namespace cv::cudev; namespace { template <typename T, typename R> void minMaxImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _dst, Stream& stream) { const GpuMat_<T>& src = (const GpuMat_<T>&) _src; GpuMat_<R>& dst = (GpuMat_<R>&) _dst; if (mask.empty()) gridFindMinMaxVal(src, dst, stream); else gridFindMinMaxVal(src, dst, globPtr<uchar>(mask), stream); } template <typename T, typename R> void minMaxImpl(const GpuMat& src, const GpuMat& mask, double* minVal, double* maxVal) { BufferPool pool(Stream::Null()); GpuMat buf(pool.getBuffer(1, 2, DataType<R>::type)); minMaxImpl<T, R>(src, mask, buf, Stream::Null()); R data[2]; buf.download(Mat(1, 2, buf.type(), data)); } } void cv::cuda::findMinMax(InputArray _src, OutputArray _dst, InputArray _mask, Stream& stream) { typedef void (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _dst, Stream& stream); static const func_t funcs[] = { minMaxImpl<uchar, int>, minMaxImpl<schar, int>, minMaxImpl<ushort, int>, minMaxImpl<short, int>, minMaxImpl<int, int>, minMaxImpl<float, float>, minMaxImpl<double, double> }; const GpuMat src = getInputMat(_src, stream); const GpuMat mask = getInputMat(_mask, stream); CV_Assert( src.channels() == 1 ); CV_Assert( mask.empty() || (mask.size() == src.size() && mask.type() == CV_8U) ); const int src_depth = src.depth(); const int dst_depth = src_depth < CV_32F ? CV_32S : src_depth; GpuMat dst = getOutputMat(_dst, 1, 2, dst_depth, stream); const func_t func = funcs[src.depth()]; func(src, mask, dst, stream); syncOutput(dst, _dst, stream); } void cv::cuda::minMax(InputArray _src, double* minVal, double* maxVal, InputArray _mask) { Stream& stream = Stream::Null(); HostMem dst; findMinMax(_src, dst, _mask, stream); stream.waitForCompletion(); double vals[2]; dst.createMatHeader().convertTo(Mat(1, 2, CV_64FC1, &vals[0]), CV_64F); if (minVal) *minVal = vals[0]; if (maxVal) *maxVal = vals[1]; } namespace cv { namespace cuda { namespace device { void findMaxAbs(InputArray _src, OutputArray _dst, InputArray _mask, Stream& stream); }}} namespace { template <typename T, typename R> void findMaxAbsImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _dst, Stream& stream) { const GpuMat_<T>& src = (const GpuMat_<T>&) _src; GpuMat_<R>& dst = (GpuMat_<R>&) _dst; if (mask.empty()) gridFindMaxVal(abs_(src), dst, stream); else gridFindMaxVal(abs_(src), dst, globPtr<uchar>(mask), stream); } } void cv::cuda::device::findMaxAbs(InputArray _src, OutputArray _dst, InputArray _mask, Stream& stream) { typedef void (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _dst, Stream& stream); static const func_t funcs[] = { findMaxAbsImpl<uchar, int>, findMaxAbsImpl<schar, int>, findMaxAbsImpl<ushort, int>, findMaxAbsImpl<short, int>, findMaxAbsImpl<int, int>, findMaxAbsImpl<float, float>, findMaxAbsImpl<double, double> }; const GpuMat src = getInputMat(_src, stream); const GpuMat mask = getInputMat(_mask, stream); CV_Assert( src.channels() == 1 ); CV_Assert( mask.empty() || (mask.size() == src.size() && mask.type() == CV_8U) ); const int src_depth = src.depth(); const int dst_depth = src_depth < CV_32F ? CV_32S : src_depth; GpuMat dst = getOutputMat(_dst, 1, 1, dst_depth, stream); const func_t func = funcs[src.depth()]; func(src, mask, dst, stream); syncOutput(dst, _dst, stream); } #endif