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 "precomp.hpp"
44
45 using namespace cv;
46 using namespace cv::cuda;
47
arrGetMat(InputArray arr,Mat & buf)48 Mat cv::superres::arrGetMat(InputArray arr, Mat& buf)
49 {
50 switch (arr.kind())
51 {
52 case _InputArray::CUDA_GPU_MAT:
53 arr.getGpuMat().download(buf);
54 return buf;
55
56 case _InputArray::OPENGL_BUFFER:
57 arr.getOGlBuffer().copyTo(buf);
58 return buf;
59
60 default:
61 return arr.getMat();
62 }
63 }
64
arrGetUMat(InputArray arr,UMat & buf)65 UMat cv::superres::arrGetUMat(InputArray arr, UMat& buf)
66 {
67 switch (arr.kind())
68 {
69 case _InputArray::CUDA_GPU_MAT:
70 arr.getGpuMat().download(buf);
71 return buf;
72
73 case _InputArray::OPENGL_BUFFER:
74 arr.getOGlBuffer().copyTo(buf);
75 return buf;
76
77 default:
78 return arr.getUMat();
79 }
80 }
81
arrGetGpuMat(InputArray arr,GpuMat & buf)82 GpuMat cv::superres::arrGetGpuMat(InputArray arr, GpuMat& buf)
83 {
84 switch (arr.kind())
85 {
86 case _InputArray::CUDA_GPU_MAT:
87 return arr.getGpuMat();
88
89 case _InputArray::OPENGL_BUFFER:
90 arr.getOGlBuffer().copyTo(buf);
91 return buf;
92
93 default:
94 buf.upload(arr.getMat());
95 return buf;
96 }
97 }
98
99 namespace
100 {
mat2mat(InputArray src,OutputArray dst)101 void mat2mat(InputArray src, OutputArray dst)
102 {
103 src.getMat().copyTo(dst);
104 }
arr2buf(InputArray src,OutputArray dst)105 void arr2buf(InputArray src, OutputArray dst)
106 {
107 dst.getOGlBufferRef().copyFrom(src);
108 }
mat2gpu(InputArray src,OutputArray dst)109 void mat2gpu(InputArray src, OutputArray dst)
110 {
111 dst.getGpuMatRef().upload(src.getMat());
112 }
buf2arr(InputArray src,OutputArray dst)113 void buf2arr(InputArray src, OutputArray dst)
114 {
115 src.getOGlBuffer().copyTo(dst);
116 }
gpu2mat(InputArray src,OutputArray dst)117 void gpu2mat(InputArray src, OutputArray dst)
118 {
119 GpuMat d = src.getGpuMat();
120 dst.create(d.size(), d.type());
121 Mat m = dst.getMat();
122 d.download(m);
123 }
gpu2gpu(InputArray src,OutputArray dst)124 void gpu2gpu(InputArray src, OutputArray dst)
125 {
126 src.getGpuMat().copyTo(dst.getGpuMatRef());
127 }
128 }
129
arrCopy(InputArray src,OutputArray dst)130 void cv::superres::arrCopy(InputArray src, OutputArray dst)
131 {
132 if (dst.isUMat() || src.isUMat())
133 {
134 src.copyTo(dst);
135 return;
136 }
137
138 typedef void (*func_t)(InputArray src, OutputArray dst);
139 static const func_t funcs[10][10] =
140 {
141 { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 },
142 { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
143 { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
144 { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
145 { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
146 { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
147 { 0, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, mat2mat, arr2buf, 0, mat2gpu },
148 { 0, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, buf2arr, 0, buf2arr },
149 { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 },
150 { 0, gpu2mat, gpu2mat, gpu2mat, gpu2mat, gpu2mat, gpu2mat, arr2buf, 0 , gpu2gpu },
151 };
152
153 const int src_kind = src.kind() >> _InputArray::KIND_SHIFT;
154 const int dst_kind = dst.kind() >> _InputArray::KIND_SHIFT;
155
156 CV_Assert( src_kind >= 0 && src_kind < 10 );
157 CV_Assert( dst_kind >= 0 && dst_kind < 10 );
158
159 const func_t func = funcs[src_kind][dst_kind];
160 CV_Assert( func != 0 );
161
162 func(src, dst);
163 }
164
165 namespace
166 {
convertToCn(InputArray src,OutputArray dst,int cn)167 void convertToCn(InputArray src, OutputArray dst, int cn)
168 {
169 int scn = src.channels();
170 CV_Assert( scn == 1 || scn == 3 || scn == 4 );
171 CV_Assert( cn == 1 || cn == 3 || cn == 4 );
172
173 static const int codes[5][5] =
174 {
175 { -1, -1, -1, -1, -1 },
176 { -1, -1, -1, COLOR_GRAY2BGR, COLOR_GRAY2BGRA },
177 { -1, -1, -1, -1, -1 },
178 { -1, COLOR_BGR2GRAY, -1, -1, COLOR_BGR2BGRA },
179 { -1, COLOR_BGRA2GRAY, -1, COLOR_BGRA2BGR, -1 }
180 };
181
182 const int code = codes[scn][cn];
183 CV_Assert( code >= 0 );
184
185 switch (src.kind())
186 {
187 case _InputArray::CUDA_GPU_MAT:
188 #ifdef HAVE_OPENCV_CUDAIMGPROC
189 cuda::cvtColor(src.getGpuMat(), dst.getGpuMatRef(), code, cn);
190 #else
191 CV_Error(cv::Error::StsNotImplemented, "The called functionality is disabled for current build or platform");
192 #endif
193 break;
194
195 default:
196 cv::cvtColor(src, dst, code, cn);
197 break;
198 }
199 }
200
convertToDepth(InputArray src,OutputArray dst,int depth)201 void convertToDepth(InputArray src, OutputArray dst, int depth)
202 {
203 CV_Assert( src.depth() <= CV_64F );
204 CV_Assert( depth == CV_8U || depth == CV_32F );
205
206 static const double maxVals[] =
207 {
208 std::numeric_limits<uchar>::max(),
209 std::numeric_limits<schar>::max(),
210 std::numeric_limits<ushort>::max(),
211 std::numeric_limits<short>::max(),
212 std::numeric_limits<int>::max(),
213 1.0,
214 1.0,
215 };
216
217 const double scale = maxVals[depth] / maxVals[src.depth()];
218
219 switch (src.kind())
220 {
221 case _InputArray::CUDA_GPU_MAT:
222 src.getGpuMat().convertTo(dst.getGpuMatRef(), depth, scale);
223 break;
224
225 case _InputArray::UMAT:
226 src.getUMat().convertTo(dst, depth, scale);
227 break;
228
229 default:
230 src.getMat().convertTo(dst, depth, scale);
231 break;
232 }
233 }
234 }
235
convertToType(const Mat & src,int type,Mat & buf0,Mat & buf1)236 Mat cv::superres::convertToType(const Mat& src, int type, Mat& buf0, Mat& buf1)
237 {
238 if (src.type() == type)
239 return src;
240
241 const int depth = CV_MAT_DEPTH(type);
242 const int cn = CV_MAT_CN(type);
243
244 if (src.depth() == depth)
245 {
246 convertToCn(src, buf0, cn);
247 return buf0;
248 }
249
250 if (src.channels() == cn)
251 {
252 convertToDepth(src, buf1, depth);
253 return buf1;
254 }
255
256 convertToCn(src, buf0, cn);
257 convertToDepth(buf0, buf1, depth);
258 return buf1;
259 }
260
convertToType(const UMat & src,int type,UMat & buf0,UMat & buf1)261 UMat cv::superres::convertToType(const UMat& src, int type, UMat& buf0, UMat& buf1)
262 {
263 if (src.type() == type)
264 return src;
265
266 const int depth = CV_MAT_DEPTH(type);
267 const int cn = CV_MAT_CN(type);
268
269 if (src.depth() == depth)
270 {
271 convertToCn(src, buf0, cn);
272 return buf0;
273 }
274
275 if (src.channels() == cn)
276 {
277 convertToDepth(src, buf1, depth);
278 return buf1;
279 }
280
281 convertToCn(src, buf0, cn);
282 convertToDepth(buf0, buf1, depth);
283 return buf1;
284 }
285
convertToType(const GpuMat & src,int type,GpuMat & buf0,GpuMat & buf1)286 GpuMat cv::superres::convertToType(const GpuMat& src, int type, GpuMat& buf0, GpuMat& buf1)
287 {
288 if (src.type() == type)
289 return src;
290
291 const int depth = CV_MAT_DEPTH(type);
292 const int cn = CV_MAT_CN(type);
293
294 if (src.depth() == depth)
295 {
296 convertToCn(src, buf0, cn);
297 return buf0;
298 }
299
300 if (src.channels() == cn)
301 {
302 convertToDepth(src, buf1, depth);
303 return buf1;
304 }
305
306 convertToCn(src, buf0, cn);
307 convertToDepth(buf0, buf1, depth);
308 return buf1;
309 }
310