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) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
14 // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
15 // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
16 // Third party copyrights are property of their respective owners.
17 //
18 // @Authors
19 // Niko Li, newlife20080214@gmail.com
20 // Jia Haipeng, jiahaipeng95@gmail.com
21 // Shengen Yan, yanshengen@gmail.com
22 // Jiang Liyuan, lyuan001.good@163.com
23 // Rock Li, Rock.Li@amd.com
24 // Wu Zailong, bullet@yeah.net
25 // Xu Pang, pangxu010@163.com
26 // Sen Liu, swjtuls1987@126.com
27 //
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31 // * Redistribution's of source code must retain the above copyright notice,
32 // this list of conditions and the following disclaimer.
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34 // * Redistribution's in binary form must reproduce the above copyright notice,
35 // this list of conditions and the following disclaimer in the documentation
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52 //M*/
53
54 #include "../test_precomp.hpp"
55 #include "opencv2/ts/ocl_test.hpp"
56
57 #ifdef HAVE_OPENCL
58
59 namespace cvtest {
60 namespace ocl {
61
62 enum
63 {
64 noType = -1
65 };
66
67 /////////////////////////////////////////////////////////////////////////////////////////////////
68 // warpAffine & warpPerspective
69
PARAM_TEST_CASE(WarpTestBase,MatType,Interpolation,bool,bool)70 PARAM_TEST_CASE(WarpTestBase, MatType, Interpolation, bool, bool)
71 {
72 int type, interpolation;
73 Size dsize;
74 bool useRoi, mapInverse;
75 int depth;
76
77 TEST_DECLARE_INPUT_PARAMETER(src);
78 TEST_DECLARE_OUTPUT_PARAMETER(dst);
79
80 virtual void SetUp()
81 {
82 type = GET_PARAM(0);
83 interpolation = GET_PARAM(1);
84 mapInverse = GET_PARAM(2);
85 useRoi = GET_PARAM(3);
86 depth = CV_MAT_DEPTH(type);
87
88 if (mapInverse)
89 interpolation |= WARP_INVERSE_MAP;
90 }
91
92 void random_roi()
93 {
94 dsize = randomSize(1, MAX_VALUE);
95
96 Size roiSize = randomSize(1, MAX_VALUE);
97 Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
98 randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);
99
100 Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
101 randomSubMat(dst, dst_roi, dsize, dstBorder, type, -MAX_VALUE, MAX_VALUE);
102
103 UMAT_UPLOAD_INPUT_PARAMETER(src);
104 UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
105 }
106
107 void Near(double threshold = 0.0)
108 {
109 if (depth < CV_32F)
110 EXPECT_MAT_N_DIFF(dst_roi, udst_roi, cvRound(dst_roi.total()*threshold));
111 else
112 OCL_EXPECT_MATS_NEAR_RELATIVE(dst, threshold);
113 }
114 };
115
116 /////warpAffine
117
118 typedef WarpTestBase WarpAffine;
119
OCL_TEST_P(WarpAffine,Mat)120 OCL_TEST_P(WarpAffine, Mat)
121 {
122 for (int j = 0; j < test_loop_times; j++)
123 {
124 double eps = depth < CV_32F ? 0.04 : 0.06;
125 random_roi();
126
127 Mat M = getRotationMatrix2D(Point2f(src_roi.cols / 2.0f, src_roi.rows / 2.0f),
128 rng.uniform(-180.f, 180.f), rng.uniform(0.4f, 2.0f));
129
130 OCL_OFF(cv::warpAffine(src_roi, dst_roi, M, dsize, interpolation));
131 OCL_ON(cv::warpAffine(usrc_roi, udst_roi, M, dsize, interpolation));
132
133 Near(eps);
134 }
135 }
136
137 //// warpPerspective
138
139 typedef WarpTestBase WarpPerspective;
140
OCL_TEST_P(WarpPerspective,Mat)141 OCL_TEST_P(WarpPerspective, Mat)
142 {
143 for (int j = 0; j < test_loop_times; j++)
144 {
145 double eps = depth < CV_32F ? 0.03 : 0.06;
146 random_roi();
147
148 float cols = static_cast<float>(src_roi.cols), rows = static_cast<float>(src_roi.rows);
149 float cols2 = cols / 2.0f, rows2 = rows / 2.0f;
150 Point2f sp[] = { Point2f(0.0f, 0.0f), Point2f(cols, 0.0f), Point2f(0.0f, rows), Point2f(cols, rows) };
151 Point2f dp[] = { Point2f(rng.uniform(0.0f, cols2), rng.uniform(0.0f, rows2)),
152 Point2f(rng.uniform(cols2, cols), rng.uniform(0.0f, rows2)),
153 Point2f(rng.uniform(0.0f, cols2), rng.uniform(rows2, rows)),
154 Point2f(rng.uniform(cols2, cols), rng.uniform(rows2, rows)) };
155 Mat M = getPerspectiveTransform(sp, dp);
156
157 OCL_OFF(cv::warpPerspective(src_roi, dst_roi, M, dsize, interpolation));
158 OCL_ON(cv::warpPerspective(usrc_roi, udst_roi, M, dsize, interpolation));
159
160 Near(eps);
161 }
162 }
163
164
165 /////////////////////////////////////////////////////////////////////////////////////////////////
166 //// resize
167
PARAM_TEST_CASE(Resize,MatType,double,double,Interpolation,bool,int)168 PARAM_TEST_CASE(Resize, MatType, double, double, Interpolation, bool, int)
169 {
170 int type, interpolation;
171 int widthMultiple;
172 double fx, fy;
173 bool useRoi;
174
175 TEST_DECLARE_INPUT_PARAMETER(src);
176 TEST_DECLARE_OUTPUT_PARAMETER(dst);
177
178 virtual void SetUp()
179 {
180 type = GET_PARAM(0);
181 fx = GET_PARAM(1);
182 fy = GET_PARAM(2);
183 interpolation = GET_PARAM(3);
184 useRoi = GET_PARAM(4);
185 widthMultiple = GET_PARAM(5);
186 }
187
188 void random_roi()
189 {
190 CV_Assert(fx > 0 && fy > 0);
191
192 Size srcRoiSize = randomSize(10, MAX_VALUE), dstRoiSize;
193 // Make sure the width is a multiple of the requested value, and no more
194 srcRoiSize.width += widthMultiple - 1 - (srcRoiSize.width - 1) % widthMultiple;
195 dstRoiSize.width = cvRound(srcRoiSize.width * fx);
196 dstRoiSize.height = cvRound(srcRoiSize.height * fy);
197
198 if (dstRoiSize.area() == 0)
199 {
200 random_roi();
201 return;
202 }
203
204 Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
205 randomSubMat(src, src_roi, srcRoiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE);
206
207 Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
208 randomSubMat(dst, dst_roi, dstRoiSize, dstBorder, type, -MAX_VALUE, MAX_VALUE);
209
210 UMAT_UPLOAD_INPUT_PARAMETER(src);
211 UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
212 }
213
214 void Near(double threshold = 0.0)
215 {
216 OCL_EXPECT_MATS_NEAR(dst, threshold);
217 }
218 };
219
OCL_TEST_P(Resize,Mat)220 OCL_TEST_P(Resize, Mat)
221 {
222 for (int j = 0; j < test_loop_times; j++)
223 {
224 int depth = CV_MAT_DEPTH(type);
225 double eps = depth <= CV_32S ? 1 : 5e-2;
226
227 random_roi();
228
229 OCL_OFF(cv::resize(src_roi, dst_roi, Size(), fx, fy, interpolation));
230 OCL_ON(cv::resize(usrc_roi, udst_roi, Size(), fx, fy, interpolation));
231
232 Near(eps);
233 }
234 }
235
236 /////////////////////////////////////////////////////////////////////////////////////////////////
237 // remap
238
PARAM_TEST_CASE(Remap,MatDepth,Channels,std::pair<MatType,MatType>,BorderType,bool)239 PARAM_TEST_CASE(Remap, MatDepth, Channels, std::pair<MatType, MatType>, BorderType, bool)
240 {
241 int srcType, map1Type, map2Type;
242 int borderType;
243 bool useRoi;
244
245 Scalar val;
246
247 TEST_DECLARE_INPUT_PARAMETER(src);
248 TEST_DECLARE_INPUT_PARAMETER(map1);
249 TEST_DECLARE_INPUT_PARAMETER(map2);
250 TEST_DECLARE_OUTPUT_PARAMETER(dst);
251
252 virtual void SetUp()
253 {
254 srcType = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1));
255 map1Type = GET_PARAM(2).first;
256 map2Type = GET_PARAM(2).second;
257 borderType = GET_PARAM(3);
258 useRoi = GET_PARAM(4);
259 }
260
261 void random_roi()
262 {
263 val = randomScalar(-MAX_VALUE, MAX_VALUE);
264 Size srcROISize = randomSize(1, MAX_VALUE);
265 Size dstROISize = randomSize(1, MAX_VALUE);
266
267 Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
268 randomSubMat(src, src_roi, srcROISize, srcBorder, srcType, 5, 256);
269
270 Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
271 randomSubMat(dst, dst_roi, dstROISize, dstBorder, srcType, -MAX_VALUE, MAX_VALUE);
272
273 int mapMaxValue = MAX_VALUE << 2;
274 Border map1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
275 randomSubMat(map1, map1_roi, dstROISize, map1Border, map1Type, -mapMaxValue, mapMaxValue);
276
277 Border map2Border = randomBorder(0, useRoi ? MAX_VALUE + 1 : 0);
278 if (map2Type != noType)
279 {
280 int mapMinValue = -mapMaxValue;
281 if (map2Type == CV_16UC1 || map2Type == CV_16SC1)
282 mapMinValue = 0, mapMaxValue = INTER_TAB_SIZE2;
283 randomSubMat(map2, map2_roi, dstROISize, map2Border, map2Type, mapMinValue, mapMaxValue);
284 }
285
286 UMAT_UPLOAD_INPUT_PARAMETER(src);
287 UMAT_UPLOAD_INPUT_PARAMETER(map1);
288 UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
289 if (noType != map2Type)
290 UMAT_UPLOAD_INPUT_PARAMETER(map2);
291 }
292
293 void Near(double threshold = 0.0)
294 {
295 OCL_EXPECT_MATS_NEAR(dst, threshold);
296 }
297 };
298
299 typedef Remap Remap_INTER_NEAREST;
300
OCL_TEST_P(Remap_INTER_NEAREST,Mat)301 OCL_TEST_P(Remap_INTER_NEAREST, Mat)
302 {
303 for (int j = 0; j < test_loop_times; j++)
304 {
305 random_roi();
306
307 OCL_OFF(cv::remap(src_roi, dst_roi, map1_roi, map2_roi, INTER_NEAREST, borderType, val));
308 OCL_ON(cv::remap(usrc_roi, udst_roi, umap1_roi, umap2_roi, INTER_NEAREST, borderType, val));
309
310 Near(1.0);
311 }
312 }
313
314 typedef Remap Remap_INTER_LINEAR;
315
OCL_TEST_P(Remap_INTER_LINEAR,Mat)316 OCL_TEST_P(Remap_INTER_LINEAR, Mat)
317 {
318 for (int j = 0; j < test_loop_times; j++)
319 {
320 random_roi();
321
322 double eps = 2.0;
323 #ifdef ANDROID
324 // TODO investigate accuracy
325 if (cv::ocl::Device::getDefault().isNVidia())
326 eps = 8.0;
327 #endif
328
329 OCL_OFF(cv::remap(src_roi, dst_roi, map1_roi, map2_roi, INTER_LINEAR, borderType, val));
330 OCL_ON(cv::remap(usrc_roi, udst_roi, umap1_roi, umap2_roi, INTER_LINEAR, borderType, val));
331
332 Near(eps);
333 }
334 }
335
336 /////////////////////////////////////////////////////////////////////////////////////
337
338 OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, WarpAffine, Combine(
339 Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
340 Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR, (Interpolation)INTER_CUBIC),
341 Bool(),
342 Bool()));
343
344 OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, WarpPerspective, Combine(
345 Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
346 Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR, (Interpolation)INTER_CUBIC),
347 Bool(),
348 Bool()));
349
350 OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, Resize, Combine(
351 Values(CV_8UC1, CV_8UC4, CV_16UC2, CV_32FC1, CV_32FC4),
352 Values(0.5, 1.5, 2.0, 0.2),
353 Values(0.5, 1.5, 2.0, 0.2),
354 Values((Interpolation)INTER_NEAREST, (Interpolation)INTER_LINEAR),
355 Bool(),
356 Values(1, 16)));
357
358 OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarpResizeArea, Resize, Combine(
359 Values((MatType)CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
360 Values(0.7, 0.4, 0.5),
361 Values(0.3, 0.6, 0.5),
362 Values((Interpolation)INTER_AREA),
363 Bool(),
364 Values(1, 16)));
365
366 OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, Remap_INTER_LINEAR, Combine(
367 Values(CV_8U, CV_16U, CV_32F),
368 Values(1, 3, 4),
369 Values(std::pair<MatType, MatType>((MatType)CV_32FC1, (MatType)CV_32FC1),
370 std::pair<MatType, MatType>((MatType)CV_16SC2, (MatType)CV_16UC1),
371 std::pair<MatType, MatType>((MatType)CV_32FC2, noType)),
372 Values((BorderType)BORDER_CONSTANT,
373 (BorderType)BORDER_REPLICATE,
374 (BorderType)BORDER_WRAP,
375 (BorderType)BORDER_REFLECT,
376 (BorderType)BORDER_REFLECT_101),
377 Bool()));
378
379 OCL_INSTANTIATE_TEST_CASE_P(ImgprocWarp, Remap_INTER_NEAREST, Combine(
380 Values(CV_8U, CV_16U, CV_32F),
381 Values(1, 3, 4),
382 Values(std::pair<MatType, MatType>((MatType)CV_32FC1, (MatType)CV_32FC1),
383 std::pair<MatType, MatType>((MatType)CV_32FC2, noType),
384 std::pair<MatType, MatType>((MatType)CV_16SC2, (MatType)CV_16UC1),
385 std::pair<MatType, MatType>((MatType)CV_16SC2, noType)),
386 Values((BorderType)BORDER_CONSTANT,
387 (BorderType)BORDER_REPLICATE,
388 (BorderType)BORDER_WRAP,
389 (BorderType)BORDER_REFLECT,
390 (BorderType)BORDER_REFLECT_101),
391 Bool()));
392
393 } } // namespace cvtest::ocl
394
395 #endif // HAVE_OPENCL
396