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test_mat_pixel_resize.cpp 12 kB

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  1. // Tencent is pleased to support the open source community by making ncnn available.
  2. //
  3. // Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
  4. //
  5. // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
  6. // in compliance with the License. You may obtain a copy of the License at
  7. //
  8. // https://opensource.org/licenses/BSD-3-Clause
  9. //
  10. // Unless required by applicable law or agreed to in writing, software distributed
  11. // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
  12. // CONDITIONS OF ANY KIND, either express or implied. See the License for the
  13. // specific language governing permissions and limitations under the License.
  14. #include "mat.h"
  15. #include "prng.h"
  16. #include <string.h>
  17. static struct prng_rand_t g_prng_rand_state;
  18. #define SRAND(seed) prng_srand(seed, &g_prng_rand_state)
  19. #define RAND() prng_rand(&g_prng_rand_state)
  20. static ncnn::Mat RandomMat(int w, int h, int elempack)
  21. {
  22. ncnn::Mat m(w, h, 1, (size_t)elempack, elempack);
  23. unsigned char* p = m;
  24. for (int i = 0; i < w * h * elempack; i++)
  25. {
  26. p[i] = RAND() % 256;
  27. }
  28. return m;
  29. }
  30. static bool NearlyEqual(float a, float b, float epsilon)
  31. {
  32. if (a == b)
  33. return true;
  34. float diff = fabs(a - b);
  35. if (diff <= epsilon)
  36. return true;
  37. // relative error
  38. return diff < epsilon * std::max(fabs(a), fabs(b));
  39. }
  40. static int Compare(const ncnn::Mat& a, const ncnn::Mat& b, float epsilon = 0.001)
  41. {
  42. #define CHECK_MEMBER(m) \
  43. if (a.m != b.m) \
  44. { \
  45. fprintf(stderr, #m " not match expect %d but got %d\n", (int)a.m, (int)b.m); \
  46. return -1; \
  47. }
  48. CHECK_MEMBER(dims)
  49. CHECK_MEMBER(w)
  50. CHECK_MEMBER(h)
  51. CHECK_MEMBER(c)
  52. CHECK_MEMBER(elemsize)
  53. CHECK_MEMBER(elempack)
  54. #undef CHECK_MEMBER
  55. for (int q = 0; q < a.c; q++)
  56. {
  57. const ncnn::Mat ma = a.channel(q);
  58. const ncnn::Mat mb = b.channel(q);
  59. for (int i = 0; i < a.h; i++)
  60. {
  61. const float* pa = ma.row(i);
  62. const float* pb = mb.row(i);
  63. for (int j = 0; j < a.w; j++)
  64. {
  65. if (!NearlyEqual(pa[j], pb[j], epsilon))
  66. {
  67. fprintf(stderr, "value not match at c:%d h:%d w:%d expect %f but got %f\n", q, i, j, pa[j], pb[j]);
  68. return -1;
  69. }
  70. }
  71. }
  72. }
  73. return 0;
  74. }
  75. static int test_mat_pixel_resize(int w, int h, int ch, int target_width, int target_height)
  76. {
  77. ncnn::Option opt;
  78. opt.num_threads = 1;
  79. ncnn::Mat a = RandomMat(w, h, ch);
  80. ncnn::Mat b(target_width, target_height, 1, (size_t)ch, ch);
  81. if (ch == 1) resize_bilinear_c1(a, w, h, b, target_width, target_height);
  82. if (ch == 2) resize_bilinear_c2(a, w, h, b, target_width, target_height);
  83. if (ch == 3) resize_bilinear_c3(a, w, h, b, target_width, target_height);
  84. if (ch == 4) resize_bilinear_c4(a, w, h, b, target_width, target_height);
  85. ncnn::Mat a2;
  86. ncnn::convert_packing(a, a2, 1, opt);
  87. ncnn::Mat b2;
  88. ncnn::convert_packing(b, b2, 1, opt);
  89. for (int i = 0; i < ch; i++)
  90. {
  91. ncnn::Mat c = ncnn::Mat::from_pixels(a2.channel(i), ncnn::Mat::PIXEL_GRAY, w, h);
  92. ncnn::Mat d = ncnn::Mat::from_pixels(b2.channel(i), ncnn::Mat::PIXEL_GRAY, target_width, target_height);
  93. ncnn::Mat e;
  94. ncnn::resize_bilinear(c, e, target_width, target_height, opt);
  95. if (Compare(e, d, 0.5) != 0)
  96. {
  97. fprintf(stderr, "test_mat_pixel_resize failed w=%d h=%d ch=%d target_width=%d target_height=%d\n", w, h, ch, target_width, target_height);
  98. return -1;
  99. }
  100. }
  101. return 0;
  102. }
  103. static int test_mat_pixel_roi_resize_gray(int w, int h, int roix, int roiy, int roiw, int roih, int target_width, int target_height)
  104. {
  105. ncnn::Option opt;
  106. opt.num_threads = 1;
  107. int pixel_type_from[5] = {ncnn::Mat::PIXEL_GRAY, ncnn::Mat::PIXEL_GRAY2RGB, ncnn::Mat::PIXEL_GRAY2BGR, ncnn::Mat::PIXEL_GRAY2RGBA, ncnn::Mat::PIXEL_GRAY2BGRA};
  108. int pixel_type_to[5] = {ncnn::Mat::PIXEL_GRAY, ncnn::Mat::PIXEL_RGB2GRAY, ncnn::Mat::PIXEL_BGR2GRAY, ncnn::Mat::PIXEL_RGBA2GRAY, ncnn::Mat::PIXEL_BGRA2GRAY};
  109. ncnn::Mat a = RandomMat(w, h, 1);
  110. ncnn::Mat a2;
  111. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1, opt);
  112. // FIXME enable more convert types
  113. for (int i = 0; i < 1; i++)
  114. {
  115. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  116. ncnn::Mat b2;
  117. ncnn::Mat c2;
  118. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw), opt);
  119. ncnn::convert_packing(b2, c2, 1, opt);
  120. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  121. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  122. {
  123. fprintf(stderr, "test_mat_pixel_roi_resize_gray failed w=%d h=%d roi=[%d %d %d %d] target_width=%d target_height=%d pixel_type=%d\n", w, h, roix, roiy, roiw, roih, target_width, target_height, i);
  124. return -1;
  125. }
  126. }
  127. return 0;
  128. }
  129. static int test_mat_pixel_roi_resize_rgb(int w, int h, int roix, int roiy, int roiw, int roih, int target_width, int target_height)
  130. {
  131. ncnn::Option opt;
  132. opt.num_threads = 1;
  133. int pixel_type_from[4] = {ncnn::Mat::PIXEL_RGB, ncnn::Mat::PIXEL_RGB2BGR, ncnn::Mat::PIXEL_RGB2RGBA, ncnn::Mat::PIXEL_RGB2BGRA};
  134. int pixel_type_to[4] = {ncnn::Mat::PIXEL_RGB, ncnn::Mat::PIXEL_BGR2RGB, ncnn::Mat::PIXEL_RGBA2RGB, ncnn::Mat::PIXEL_BGRA2RGB};
  135. ncnn::Mat a = RandomMat(w, h, 3);
  136. ncnn::Mat a2;
  137. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1, opt);
  138. // FIXME enable more convert types
  139. for (int i = 0; i < 2; i++)
  140. {
  141. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  142. ncnn::Mat b2;
  143. ncnn::Mat c2;
  144. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw), opt);
  145. ncnn::convert_packing(b2, c2, 3, opt);
  146. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  147. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  148. {
  149. fprintf(stderr, "test_mat_pixel_roi_resize_rgb failed w=%d h=%d roi=[%d %d %d %d] target_width=%d target_height=%d pixel_type=%d\n", w, h, roix, roiy, roiw, roih, target_width, target_height, i);
  150. return -1;
  151. }
  152. }
  153. return 0;
  154. }
  155. static int test_mat_pixel_roi_resize_bgr(int w, int h, int roix, int roiy, int roiw, int roih, int target_width, int target_height)
  156. {
  157. ncnn::Option opt;
  158. opt.num_threads = 1;
  159. int pixel_type_from[4] = {ncnn::Mat::PIXEL_BGR, ncnn::Mat::PIXEL_BGR2RGB, ncnn::Mat::PIXEL_BGR2RGBA, ncnn::Mat::PIXEL_BGR2BGRA};
  160. int pixel_type_to[4] = {ncnn::Mat::PIXEL_BGR, ncnn::Mat::PIXEL_RGB2BGR, ncnn::Mat::PIXEL_RGBA2BGR, ncnn::Mat::PIXEL_BGRA2BGR};
  161. ncnn::Mat a = RandomMat(w, h, 3);
  162. ncnn::Mat a2;
  163. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1, opt);
  164. // FIXME enable more convert types
  165. for (int i = 0; i < 2; i++)
  166. {
  167. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  168. ncnn::Mat b2;
  169. ncnn::Mat c2;
  170. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw), opt);
  171. ncnn::convert_packing(b2, c2, 3, opt);
  172. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  173. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  174. {
  175. fprintf(stderr, "test_mat_pixel_roi_resize_bgr failed w=%d h=%d roi=[%d %d %d %d] target_width=%d target_height=%d pixel_type=%d\n", w, h, roix, roiy, roiw, roih, target_width, target_height, i);
  176. return -1;
  177. }
  178. }
  179. return 0;
  180. }
  181. static int test_mat_pixel_roi_resize_rgba(int w, int h, int roix, int roiy, int roiw, int roih, int target_width, int target_height)
  182. {
  183. ncnn::Option opt;
  184. opt.num_threads = 1;
  185. int pixel_type_from[2] = {ncnn::Mat::PIXEL_RGBA, ncnn::Mat::PIXEL_RGBA2BGRA};
  186. int pixel_type_to[2] = {ncnn::Mat::PIXEL_RGBA, ncnn::Mat::PIXEL_BGRA2RGBA};
  187. ncnn::Mat a = RandomMat(w, h, 4);
  188. ncnn::Mat a2;
  189. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1, opt);
  190. for (int i = 0; i < 2; i++)
  191. {
  192. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  193. ncnn::Mat b2;
  194. ncnn::Mat c2;
  195. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw), opt);
  196. ncnn::convert_packing(b2, c2, 4, opt);
  197. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  198. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  199. {
  200. fprintf(stderr, "test_mat_pixel_roi_resize_rgba failed w=%d h=%d roi=[%d %d %d %d] target_width=%d target_height=%d pixel_type=%d\n", w, h, roix, roiy, roiw, roih, target_width, target_height, i);
  201. return -1;
  202. }
  203. }
  204. return 0;
  205. }
  206. static int test_mat_pixel_roi_resize_bgra(int w, int h, int roix, int roiy, int roiw, int roih, int target_width, int target_height)
  207. {
  208. ncnn::Option opt;
  209. opt.num_threads = 1;
  210. int pixel_type_from[2] = {ncnn::Mat::PIXEL_BGRA, ncnn::Mat::PIXEL_BGRA2RGBA};
  211. int pixel_type_to[2] = {ncnn::Mat::PIXEL_BGRA, ncnn::Mat::PIXEL_RGBA2BGRA};
  212. ncnn::Mat a = RandomMat(w, h, 4);
  213. ncnn::Mat a2;
  214. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1, opt);
  215. for (int i = 0; i < 2; i++)
  216. {
  217. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  218. ncnn::Mat b2;
  219. ncnn::Mat c2;
  220. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw), opt);
  221. ncnn::convert_packing(b2, c2, 4, opt);
  222. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  223. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  224. {
  225. fprintf(stderr, "test_mat_pixel_roi_resize_bgra failed w=%d h=%d roi=[%d %d %d %d] target_width=%d target_height=%d pixel_type=%d\n", w, h, roix, roiy, roiw, roih, target_width, target_height, i);
  226. return -1;
  227. }
  228. }
  229. return 0;
  230. }
  231. static int test_mat_pixel_0()
  232. {
  233. for (int c = 1; c <= 4; c++)
  234. {
  235. int ret = 0
  236. || test_mat_pixel_resize(24, 48, c, 24, 48)
  237. || test_mat_pixel_resize(13, 17, c, 11, 14)
  238. || test_mat_pixel_resize(33, 23, c, 5, 6)
  239. || test_mat_pixel_resize(5, 4, c, 11, 16)
  240. || test_mat_pixel_resize(23, 11, c, 15, 21);
  241. if (ret != 0)
  242. return ret;
  243. }
  244. return 0;
  245. }
  246. static int test_mat_pixel_1()
  247. {
  248. return 0
  249. || test_mat_pixel_roi_resize_gray(16, 16, 1, 1, 13, 13, 10, 11)
  250. || test_mat_pixel_roi_resize_rgb(16, 16, 2, 1, 11, 11, 2, 3)
  251. || test_mat_pixel_roi_resize_bgr(16, 16, 1, 2, 11, 9, 22, 13)
  252. || test_mat_pixel_roi_resize_rgba(16, 16, 3, 2, 9, 11, 12, 4)
  253. || test_mat_pixel_roi_resize_bgra(16, 16, 2, 3, 9, 7, 7, 7);
  254. }
  255. static int test_mat_pixel_2()
  256. {
  257. return 0
  258. || test_mat_pixel_roi_resize_gray(15, 15, 2, 3, 2, 3, 2, 2)
  259. || test_mat_pixel_roi_resize_rgb(15, 15, 3, 4, 5, 4, 5, 4)
  260. || test_mat_pixel_roi_resize_bgr(15, 15, 4, 5, 6, 7, 4, 1)
  261. || test_mat_pixel_roi_resize_rgba(15, 15, 6, 6, 3, 4, 1, 3)
  262. || test_mat_pixel_roi_resize_bgra(15, 15, 7, 3, 1, 1, 1, 1);
  263. }
  264. int main()
  265. {
  266. SRAND(7767517);
  267. return test_mat_pixel_0() || test_mat_pixel_1() || test_mat_pixel_2();
  268. }