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10 //                           License Agreement
11 //                For Open Source Computer Vision Library
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42 
43 #include "precomp.hpp"
44 
45 using namespace cv;
46 using namespace cv::cuda;
47 
48 #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || !defined(HAVE_OPENCV_CUDAFILTERS)
49 
createHarrisCorner(int,int,int,double,int)50 Ptr<cuda::CornernessCriteria> cv::cuda::createHarrisCorner(int, int, int, double, int) { throw_no_cuda(); return Ptr<cuda::CornernessCriteria>(); }
createMinEigenValCorner(int,int,int,int)51 Ptr<cuda::CornernessCriteria> cv::cuda::createMinEigenValCorner(int, int, int, int) { throw_no_cuda(); return Ptr<cuda::CornernessCriteria>(); }
52 
53 #else /* !defined (HAVE_CUDA) */
54 
55 namespace cv { namespace cuda { namespace device
56 {
57     namespace imgproc
58     {
59         void cornerHarris_gpu(int block_size, float k, PtrStepSzf Dx, PtrStepSzf Dy, PtrStepSzf dst, int border_type, cudaStream_t stream);
60         void cornerMinEigenVal_gpu(int block_size, PtrStepSzf Dx, PtrStepSzf Dy, PtrStepSzf dst, int border_type, cudaStream_t stream);
61     }
62 }}}
63 
64 namespace
65 {
66     class CornerBase : public CornernessCriteria
67     {
68     protected:
69         CornerBase(int srcType, int blockSize, int ksize, int borderType);
70 
71         void extractCovData(const GpuMat& src, Stream& stream);
72 
73         int srcType_;
74         int blockSize_;
75         int ksize_;
76         int borderType_;
77         GpuMat Dx_, Dy_;
78 
79     private:
80         Ptr<cuda::Filter> filterDx_, filterDy_;
81     };
82 
CornerBase(int srcType,int blockSize,int ksize,int borderType)83     CornerBase::CornerBase(int srcType, int blockSize, int ksize, int borderType) :
84         srcType_(srcType), blockSize_(blockSize), ksize_(ksize), borderType_(borderType)
85     {
86         CV_Assert( borderType_ == BORDER_REFLECT101 || borderType_ == BORDER_REPLICATE || borderType_ == BORDER_REFLECT );
87 
88         const int sdepth = CV_MAT_DEPTH(srcType_);
89         const int cn = CV_MAT_CN(srcType_);
90 
91         CV_Assert( cn == 1 );
92 
93         double scale = static_cast<double>(1 << ((ksize_ > 0 ? ksize_ : 3) - 1)) * blockSize_;
94 
95         if (ksize_ < 0)
96             scale *= 2.;
97 
98         if (sdepth == CV_8U)
99             scale *= 255.;
100 
101         scale = 1./scale;
102 
103         if (ksize_ > 0)
104         {
105             filterDx_ = cuda::createSobelFilter(srcType, CV_32F, 1, 0, ksize_, scale, borderType_);
106             filterDy_ = cuda::createSobelFilter(srcType, CV_32F, 0, 1, ksize_, scale, borderType_);
107         }
108         else
109         {
110             filterDx_ = cuda::createScharrFilter(srcType, CV_32F, 1, 0, scale, borderType_);
111             filterDy_ = cuda::createScharrFilter(srcType, CV_32F, 0, 1, scale, borderType_);
112         }
113     }
114 
extractCovData(const GpuMat & src,Stream & stream)115     void CornerBase::extractCovData(const GpuMat& src, Stream& stream)
116     {
117         CV_Assert( src.type() == srcType_ );
118         filterDx_->apply(src, Dx_, stream);
119         filterDy_->apply(src, Dy_, stream);
120     }
121 
122     class Harris : public CornerBase
123     {
124     public:
Harris(int srcType,int blockSize,int ksize,double k,int borderType)125         Harris(int srcType, int blockSize, int ksize, double k, int borderType) :
126             CornerBase(srcType, blockSize, ksize, borderType), k_(static_cast<float>(k))
127         {
128         }
129 
130         void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
131 
132     private:
133         float k_;
134     };
135 
compute(InputArray _src,OutputArray _dst,Stream & stream)136     void Harris::compute(InputArray _src, OutputArray _dst, Stream& stream)
137     {
138         using namespace cv::cuda::device::imgproc;
139 
140         GpuMat src = _src.getGpuMat();
141 
142         extractCovData(src, stream);
143 
144         _dst.create(src.size(), CV_32FC1);
145         GpuMat dst = _dst.getGpuMat();
146 
147         cornerHarris_gpu(blockSize_, k_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream));
148     }
149 
150     class MinEigenVal : public CornerBase
151     {
152     public:
MinEigenVal(int srcType,int blockSize,int ksize,int borderType)153         MinEigenVal(int srcType, int blockSize, int ksize, int borderType) :
154             CornerBase(srcType, blockSize, ksize, borderType)
155         {
156         }
157 
158         void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
159 
160     private:
161         float k_;
162     };
163 
compute(InputArray _src,OutputArray _dst,Stream & stream)164     void MinEigenVal::compute(InputArray _src, OutputArray _dst, Stream& stream)
165     {
166         using namespace cv::cuda::device::imgproc;
167 
168         GpuMat src = _src.getGpuMat();
169 
170         extractCovData(src, stream);
171 
172         _dst.create(src.size(), CV_32FC1);
173         GpuMat dst = _dst.getGpuMat();
174 
175         cornerMinEigenVal_gpu(blockSize_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream));
176     }
177 }
178 
createHarrisCorner(int srcType,int blockSize,int ksize,double k,int borderType)179 Ptr<cuda::CornernessCriteria> cv::cuda::createHarrisCorner(int srcType, int blockSize, int ksize, double k, int borderType)
180 {
181     return makePtr<Harris>(srcType, blockSize, ksize, k, borderType);
182 }
183 
createMinEigenValCorner(int srcType,int blockSize,int ksize,int borderType)184 Ptr<cuda::CornernessCriteria> cv::cuda::createMinEigenValCorner(int srcType, int blockSize, int ksize, int borderType)
185 {
186     return makePtr<MinEigenVal>(srcType, blockSize, ksize, borderType);
187 }
188 
189 #endif /* !defined (HAVE_CUDA) */
190