1 /*M/////////////////////////////////////////////////////////////////////////////////////// 2 // 3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. 4 // 5 // By downloading, copying, installing or using the software you agree to this license. 6 // If you do not agree to this license, do not download, install, 7 // copy or use the software. 8 // 9 // 10 // License Agreement 11 // For Open Source Computer Vision Library 12 // 13 // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. 14 // Copyright (C) 2009, Willow Garage Inc., all rights reserved. 15 // Third party copyrights are property of their respective owners. 16 // 17 // Redistribution and use in source and binary forms, with or without modification, 18 // are permitted provided that the following conditions are met: 19 // 20 // * Redistribution's of source code must retain the above copyright notice, 21 // this list of conditions and the following disclaimer. 22 // 23 // * Redistribution's in binary form must reproduce the above copyright notice, 24 // this list of conditions and the following disclaimer in the documentation 25 // and/or other materials provided with the distribution. 26 // 27 // * The name of the copyright holders may not be used to endorse or promote products 28 // derived from this software without specific prior written permission. 29 // 30 // This software is provided by the copyright holders and contributors "as is" and 31 // any express or implied warranties, including, but not limited to, the implied 32 // warranties of merchantability and fitness for a particular purpose are disclaimed. 33 // In no event shall the Intel Corporation or contributors be liable for any direct, 34 // indirect, incidental, special, exemplary, or consequential damages 35 // (including, but not limited to, procurement of substitute goods or services; 36 // loss of use, data, or profits; or business interruption) however caused 37 // and on any theory of liability, whether in contract, strict liability, 38 // or tort (including negligence or otherwise) arising in any way out of 39 // the use of this software, even if advised of the possibility of such damage. 40 // 41 //M*/ 42 43 #include "opencv2/opencv_modules.hpp" 44 45 #ifndef HAVE_OPENCV_CUDEV 46 47 #error "opencv_cudev is required" 48 49 #else 50 51 #include "opencv2/cudaarithm.hpp" 52 #include "opencv2/cudev.hpp" 53 #include "opencv2/core/private.cuda.hpp" 54 55 using namespace cv; 56 using namespace cv::cuda; 57 using namespace cv::cudev; 58 59 namespace 60 { 61 template <typename T, typename R> 62 void minMaxImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _dst, Stream& stream) 63 { 64 const GpuMat_<T>& src = (const GpuMat_<T>&) _src; 65 GpuMat_<R>& dst = (GpuMat_<R>&) _dst; 66 67 if (mask.empty()) 68 gridFindMinMaxVal(src, dst, stream); 69 else 70 gridFindMinMaxVal(src, dst, globPtr<uchar>(mask), stream); 71 } 72 73 template <typename T, typename R> 74 void minMaxImpl(const GpuMat& src, const GpuMat& mask, double* minVal, double* maxVal) 75 { 76 BufferPool pool(Stream::Null()); 77 GpuMat buf(pool.getBuffer(1, 2, DataType<R>::type)); 78 79 minMaxImpl<T, R>(src, mask, buf, Stream::Null()); 80 81 R data[2]; 82 buf.download(Mat(1, 2, buf.type(), data)); 83 84 } 85 } 86 87 void cv::cuda::findMinMax(InputArray _src, OutputArray _dst, InputArray _mask, Stream& stream) 88 { 89 typedef void (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _dst, Stream& stream); 90 static const func_t funcs[] = 91 { 92 minMaxImpl<uchar, int>, 93 minMaxImpl<schar, int>, 94 minMaxImpl<ushort, int>, 95 minMaxImpl<short, int>, 96 minMaxImpl<int, int>, 97 minMaxImpl<float, float>, 98 minMaxImpl<double, double> 99 }; 100 101 const GpuMat src = getInputMat(_src, stream); 102 const GpuMat mask = getInputMat(_mask, stream); 103 104 CV_Assert( src.channels() == 1 ); 105 CV_Assert( mask.empty() || (mask.size() == src.size() && mask.type() == CV_8U) ); 106 107 const int src_depth = src.depth(); 108 const int dst_depth = src_depth < CV_32F ? CV_32S : src_depth; 109 110 GpuMat dst = getOutputMat(_dst, 1, 2, dst_depth, stream); 111 112 const func_t func = funcs[src.depth()]; 113 func(src, mask, dst, stream); 114 115 syncOutput(dst, _dst, stream); 116 } 117 118 void cv::cuda::minMax(InputArray _src, double* minVal, double* maxVal, InputArray _mask) 119 { 120 Stream& stream = Stream::Null(); 121 122 HostMem dst; 123 findMinMax(_src, dst, _mask, stream); 124 125 stream.waitForCompletion(); 126 127 double vals[2]; 128 dst.createMatHeader().convertTo(Mat(1, 2, CV_64FC1, &vals[0]), CV_64F); 129 130 if (minVal) 131 *minVal = vals[0]; 132 133 if (maxVal) 134 *maxVal = vals[1]; 135 } 136 137 namespace cv { namespace cuda { namespace device { 138 139 void findMaxAbs(InputArray _src, OutputArray _dst, InputArray _mask, Stream& stream); 140 141 }}} 142 143 namespace 144 { 145 template <typename T, typename R> 146 void findMaxAbsImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _dst, Stream& stream) 147 { 148 const GpuMat_<T>& src = (const GpuMat_<T>&) _src; 149 GpuMat_<R>& dst = (GpuMat_<R>&) _dst; 150 151 if (mask.empty()) 152 gridFindMaxVal(abs_(src), dst, stream); 153 else 154 gridFindMaxVal(abs_(src), dst, globPtr<uchar>(mask), stream); 155 } 156 } 157 158 void cv::cuda::device::findMaxAbs(InputArray _src, OutputArray _dst, InputArray _mask, Stream& stream) 159 { 160 typedef void (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _dst, Stream& stream); 161 static const func_t funcs[] = 162 { 163 findMaxAbsImpl<uchar, int>, 164 findMaxAbsImpl<schar, int>, 165 findMaxAbsImpl<ushort, int>, 166 findMaxAbsImpl<short, int>, 167 findMaxAbsImpl<int, int>, 168 findMaxAbsImpl<float, float>, 169 findMaxAbsImpl<double, double> 170 }; 171 172 const GpuMat src = getInputMat(_src, stream); 173 const GpuMat mask = getInputMat(_mask, stream); 174 175 CV_Assert( src.channels() == 1 ); 176 CV_Assert( mask.empty() || (mask.size() == src.size() && mask.type() == CV_8U) ); 177 178 const int src_depth = src.depth(); 179 const int dst_depth = src_depth < CV_32F ? CV_32S : src_depth; 180 181 GpuMat dst = getOutputMat(_dst, 1, 1, dst_depth, stream); 182 183 const func_t func = funcs[src.depth()]; 184 func(src, mask, dst, stream); 185 186 syncOutput(dst, _dst, stream); 187 } 188 189 #endif 190