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1 /*M///////////////////////////////////////////////////////////////////////////////////////
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3 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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9 //
10 //                           License Agreement
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 //////////////////////////////////////////////////////////////////////////////
60 // mulSpectrums
61 
62 namespace
63 {
real(const float2 & val)64     __device__ __forceinline__ float real(const float2& val)
65     {
66         return val.x;
67     }
68 
imag(const float2 & val)69     __device__ __forceinline__ float imag(const float2& val)
70     {
71         return val.y;
72     }
73 
cmul(const float2 & a,const float2 & b)74     __device__ __forceinline__ float2 cmul(const float2& a, const float2& b)
75     {
76         return make_float2((real(a) * real(b)) - (imag(a) * imag(b)),
77                            (real(a) * imag(b)) + (imag(a) * real(b)));
78     }
79 
conj(const float2 & a)80     __device__ __forceinline__ float2 conj(const float2& a)
81     {
82         return make_float2(real(a), -imag(a));
83     }
84 
85     struct comlex_mul : binary_function<float2, float2, float2>
86     {
operator ()__anona21cebd80111::comlex_mul87         __device__ __forceinline__ float2 operator ()(const float2& a, const float2& b) const
88         {
89             return cmul(a, b);
90         }
91     };
92 
93     struct comlex_mul_conj : binary_function<float2, float2, float2>
94     {
operator ()__anona21cebd80111::comlex_mul_conj95         __device__ __forceinline__ float2 operator ()(const float2& a, const float2& b) const
96         {
97             return cmul(a, conj(b));
98         }
99     };
100 
101     struct comlex_mul_scale : binary_function<float2, float2, float2>
102     {
103         float scale;
104 
operator ()__anona21cebd80111::comlex_mul_scale105         __device__ __forceinline__ float2 operator ()(const float2& a, const float2& b) const
106         {
107             return scale * cmul(a, b);
108         }
109     };
110 
111     struct comlex_mul_conj_scale : binary_function<float2, float2, float2>
112     {
113         float scale;
114 
operator ()__anona21cebd80111::comlex_mul_conj_scale115         __device__ __forceinline__ float2 operator ()(const float2& a, const float2& b) const
116         {
117             return scale * cmul(a, conj(b));
118         }
119     };
120 }
121 
mulSpectrums(InputArray _src1,InputArray _src2,OutputArray _dst,int flags,bool conjB,Stream & stream)122 void cv::cuda::mulSpectrums(InputArray _src1, InputArray _src2, OutputArray _dst, int flags, bool conjB, Stream& stream)
123 {
124     (void) flags;
125 
126     GpuMat src1 = getInputMat(_src1, stream);
127     GpuMat src2 = getInputMat(_src2, stream);
128 
129     CV_Assert( src1.type() == src2.type() && src1.type() == CV_32FC2 );
130     CV_Assert( src1.size() == src2.size() );
131 
132     GpuMat dst = getOutputMat(_dst, src1.size(), CV_32FC2, stream);
133 
134     if (conjB)
135         gridTransformBinary(globPtr<float2>(src1), globPtr<float2>(src2), globPtr<float2>(dst), comlex_mul_conj(), stream);
136     else
137         gridTransformBinary(globPtr<float2>(src1), globPtr<float2>(src2), globPtr<float2>(dst), comlex_mul(), stream);
138 
139     syncOutput(dst, _dst, stream);
140 }
141 
mulAndScaleSpectrums(InputArray _src1,InputArray _src2,OutputArray _dst,int flags,float scale,bool conjB,Stream & stream)142 void cv::cuda::mulAndScaleSpectrums(InputArray _src1, InputArray _src2, OutputArray _dst, int flags, float scale, bool conjB, Stream& stream)
143 {
144     (void) flags;
145 
146     GpuMat src1 = getInputMat(_src1, stream);
147     GpuMat src2 = getInputMat(_src2, stream);
148 
149     CV_Assert( src1.type() == src2.type() && src1.type() == CV_32FC2);
150     CV_Assert( src1.size() == src2.size() );
151 
152     GpuMat dst = getOutputMat(_dst, src1.size(), CV_32FC2, stream);
153 
154     if (conjB)
155     {
156         comlex_mul_conj_scale op;
157         op.scale = scale;
158         gridTransformBinary(globPtr<float2>(src1), globPtr<float2>(src2), globPtr<float2>(dst), op, stream);
159     }
160     else
161     {
162         comlex_mul_scale op;
163         op.scale = scale;
164         gridTransformBinary(globPtr<float2>(src1), globPtr<float2>(src2), globPtr<float2>(dst), op, stream);
165     }
166 
167     syncOutput(dst, _dst, stream);
168 }
169 
170 #endif
171