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11 // For Open Source Computer Vision Library
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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>
minMaxLocImpl(const GpuMat & _src,const GpuMat & mask,GpuMat & _valBuf,GpuMat & _locBuf,Stream & stream)62 void minMaxLocImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _valBuf, GpuMat& _locBuf, Stream& stream)
63 {
64 const GpuMat_<T>& src = (const GpuMat_<T>&) _src;
65 GpuMat_<R>& valBuf = (GpuMat_<R>&) _valBuf;
66 GpuMat_<int>& locBuf = (GpuMat_<int>&) _locBuf;
67
68 if (mask.empty())
69 gridMinMaxLoc(src, valBuf, locBuf, stream);
70 else
71 gridMinMaxLoc(src, valBuf, locBuf, globPtr<uchar>(mask), stream);
72 }
73 }
74
findMinMaxLoc(InputArray _src,OutputArray _minMaxVals,OutputArray _loc,InputArray _mask,Stream & stream)75 void cv::cuda::findMinMaxLoc(InputArray _src, OutputArray _minMaxVals, OutputArray _loc, InputArray _mask, Stream& stream)
76 {
77 typedef void (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _valBuf, GpuMat& _locBuf, Stream& stream);
78 static const func_t funcs[] =
79 {
80 minMaxLocImpl<uchar, int>,
81 minMaxLocImpl<schar, int>,
82 minMaxLocImpl<ushort, int>,
83 minMaxLocImpl<short, int>,
84 minMaxLocImpl<int, int>,
85 minMaxLocImpl<float, float>,
86 minMaxLocImpl<double, double>
87 };
88
89 const GpuMat src = getInputMat(_src, stream);
90 const GpuMat mask = getInputMat(_mask, stream);
91
92 CV_Assert( src.channels() == 1 );
93 CV_Assert( mask.empty() || (mask.size() == src.size() && mask.type() == CV_8U) );
94
95 const int src_depth = src.depth();
96
97 BufferPool pool(stream);
98 GpuMat valBuf(pool.getAllocator());
99 GpuMat locBuf(pool.getAllocator());
100
101 const func_t func = funcs[src_depth];
102 func(src, mask, valBuf, locBuf, stream);
103
104 GpuMat minMaxVals = valBuf.colRange(0, 1);
105 GpuMat loc = locBuf.colRange(0, 1);
106
107 if (_minMaxVals.kind() == _InputArray::CUDA_GPU_MAT)
108 {
109 minMaxVals.copyTo(_minMaxVals, stream);
110 }
111 else
112 {
113 minMaxVals.download(_minMaxVals, stream);
114 }
115
116 if (_loc.kind() == _InputArray::CUDA_GPU_MAT)
117 {
118 loc.copyTo(_loc, stream);
119 }
120 else
121 {
122 loc.download(_loc, stream);
123 }
124 }
125
minMaxLoc(InputArray _src,double * minVal,double * maxVal,Point * minLoc,Point * maxLoc,InputArray _mask)126 void cv::cuda::minMaxLoc(InputArray _src, double* minVal, double* maxVal, Point* minLoc, Point* maxLoc, InputArray _mask)
127 {
128 Stream& stream = Stream::Null();
129
130 HostMem minMaxVals, locVals;
131 findMinMaxLoc(_src, minMaxVals, locVals, _mask, stream);
132
133 stream.waitForCompletion();
134
135 double vals[2];
136 minMaxVals.createMatHeader().convertTo(Mat(minMaxVals.size(), CV_64FC1, &vals[0]), CV_64F);
137
138 int locs[2];
139 locVals.createMatHeader().copyTo(Mat(locVals.size(), CV_32SC1, &locs[0]));
140 Size size = _src.size();
141 cv::Point locs2D[] = {
142 cv::Point(locs[0] % size.width, locs[0] / size.width),
143 cv::Point(locs[1] % size.width, locs[1] / size.width),
144 };
145
146 if (minVal)
147 *minVal = vals[0];
148
149 if (maxVal)
150 *maxVal = vals[1];
151
152 if (minLoc)
153 *minLoc = locs2D[0];
154
155 if (maxLoc)
156 *maxLoc = locs2D[1];
157 }
158
159 #endif
160