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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 <math.h>
  17. #include <string.h>
  18. static struct prng_rand_t g_prng_rand_state;
  19. #define SRAND(seed) prng_srand(seed, &g_prng_rand_state)
  20. #define RAND() prng_rand(&g_prng_rand_state)
  21. static ncnn::Mat RandomMat(int w, int h, int elempack)
  22. {
  23. ncnn::Mat m(w, h, 1, (size_t)elempack, elempack);
  24. unsigned char* p = m;
  25. for (int i = 0; i < w * h * elempack; i++)
  26. {
  27. p[i] = RAND() % 256;
  28. }
  29. return m;
  30. }
  31. static bool NearlyEqual(float a, float b, float epsilon)
  32. {
  33. if (a == b)
  34. return true;
  35. float diff = fabs(a - b);
  36. if (diff <= epsilon)
  37. return true;
  38. // relative error
  39. return diff < epsilon * std::max(fabs(a), fabs(b));
  40. }
  41. static int Compare(const ncnn::Mat& a, const ncnn::Mat& b, float epsilon = 0.001)
  42. {
  43. #define CHECK_MEMBER(m) \
  44. if (a.m != b.m) \
  45. { \
  46. fprintf(stderr, #m " not match expect %d but got %d\n", (int)a.m, (int)b.m); \
  47. return -1; \
  48. }
  49. CHECK_MEMBER(dims)
  50. CHECK_MEMBER(w)
  51. CHECK_MEMBER(h)
  52. CHECK_MEMBER(c)
  53. CHECK_MEMBER(elemsize)
  54. CHECK_MEMBER(elempack)
  55. #undef CHECK_MEMBER
  56. for (int q = 0; q < a.c; q++)
  57. {
  58. const ncnn::Mat ma = a.channel(q);
  59. const ncnn::Mat mb = b.channel(q);
  60. for (int i = 0; i < a.h; i++)
  61. {
  62. const float* pa = ma.row(i);
  63. const float* pb = mb.row(i);
  64. for (int j = 0; j < a.w; j++)
  65. {
  66. if (!NearlyEqual(pa[j], pb[j], epsilon))
  67. {
  68. 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]);
  69. return -1;
  70. }
  71. }
  72. }
  73. }
  74. return 0;
  75. }
  76. static int test_mat_pixel_resize(int w, int h, int ch, int target_width, int target_height)
  77. {
  78. ncnn::Mat a = RandomMat(w, h, ch);
  79. ncnn::Mat b(target_width, target_height, 1, (size_t)ch, ch);
  80. if (ch == 1) resize_bilinear_c1(a, w, h, b, target_width, target_height);
  81. if (ch == 2) resize_bilinear_c2(a, w, h, b, target_width, target_height);
  82. if (ch == 3) resize_bilinear_c3(a, w, h, b, target_width, target_height);
  83. if (ch == 4) resize_bilinear_c4(a, w, h, b, target_width, target_height);
  84. ncnn::Mat a2;
  85. ncnn::convert_packing(a, a2, 1);
  86. ncnn::Mat b2;
  87. ncnn::convert_packing(b, b2, 1);
  88. for (int i = 0; i < ch; i++)
  89. {
  90. ncnn::Mat c = ncnn::Mat::from_pixels(a2.channel(i), ncnn::Mat::PIXEL_GRAY, w, h);
  91. ncnn::Mat d = ncnn::Mat::from_pixels(b2.channel(i), ncnn::Mat::PIXEL_GRAY, target_width, target_height);
  92. ncnn::Mat e;
  93. ncnn::resize_bilinear(c, e, target_width, target_height);
  94. if (Compare(e, d, 0.5) != 0)
  95. {
  96. 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);
  97. return -1;
  98. }
  99. }
  100. return 0;
  101. }
  102. 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)
  103. {
  104. 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};
  105. 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};
  106. ncnn::Mat a = RandomMat(w, h, 1);
  107. ncnn::Mat a2;
  108. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1);
  109. // FIXME enable more convert types
  110. for (int i = 0; i < 1; i++)
  111. {
  112. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  113. ncnn::Mat b2;
  114. ncnn::Mat c2;
  115. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw));
  116. ncnn::convert_packing(b2, c2, 1);
  117. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  118. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  119. {
  120. 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);
  121. return -1;
  122. }
  123. }
  124. return 0;
  125. }
  126. 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)
  127. {
  128. int pixel_type_from[4] = {ncnn::Mat::PIXEL_RGB, ncnn::Mat::PIXEL_RGB2BGR, ncnn::Mat::PIXEL_RGB2RGBA, ncnn::Mat::PIXEL_RGB2BGRA};
  129. int pixel_type_to[4] = {ncnn::Mat::PIXEL_RGB, ncnn::Mat::PIXEL_BGR2RGB, ncnn::Mat::PIXEL_RGBA2RGB, ncnn::Mat::PIXEL_BGRA2RGB};
  130. ncnn::Mat a = RandomMat(w, h, 3);
  131. ncnn::Mat a2;
  132. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1);
  133. // FIXME enable more convert types
  134. for (int i = 0; i < 2; i++)
  135. {
  136. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  137. ncnn::Mat b2;
  138. ncnn::Mat c2;
  139. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw));
  140. ncnn::convert_packing(b2, c2, 3);
  141. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  142. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  143. {
  144. 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);
  145. return -1;
  146. }
  147. }
  148. return 0;
  149. }
  150. 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)
  151. {
  152. int pixel_type_from[4] = {ncnn::Mat::PIXEL_BGR, ncnn::Mat::PIXEL_BGR2RGB, ncnn::Mat::PIXEL_BGR2RGBA, ncnn::Mat::PIXEL_BGR2BGRA};
  153. int pixel_type_to[4] = {ncnn::Mat::PIXEL_BGR, ncnn::Mat::PIXEL_RGB2BGR, ncnn::Mat::PIXEL_RGBA2BGR, ncnn::Mat::PIXEL_BGRA2BGR};
  154. ncnn::Mat a = RandomMat(w, h, 3);
  155. ncnn::Mat a2;
  156. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1);
  157. // FIXME enable more convert types
  158. for (int i = 0; i < 2; i++)
  159. {
  160. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  161. ncnn::Mat b2;
  162. ncnn::Mat c2;
  163. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw));
  164. ncnn::convert_packing(b2, c2, 3);
  165. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  166. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  167. {
  168. 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);
  169. return -1;
  170. }
  171. }
  172. return 0;
  173. }
  174. 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)
  175. {
  176. int pixel_type_from[2] = {ncnn::Mat::PIXEL_RGBA, ncnn::Mat::PIXEL_RGBA2BGRA};
  177. int pixel_type_to[2] = {ncnn::Mat::PIXEL_RGBA, ncnn::Mat::PIXEL_BGRA2RGBA};
  178. ncnn::Mat a = RandomMat(w, h, 4);
  179. ncnn::Mat a2;
  180. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1);
  181. for (int i = 0; i < 2; i++)
  182. {
  183. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  184. ncnn::Mat b2;
  185. ncnn::Mat c2;
  186. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw));
  187. ncnn::convert_packing(b2, c2, 4);
  188. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  189. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  190. {
  191. 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);
  192. return -1;
  193. }
  194. }
  195. return 0;
  196. }
  197. 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)
  198. {
  199. int pixel_type_from[2] = {ncnn::Mat::PIXEL_BGRA, ncnn::Mat::PIXEL_BGRA2RGBA};
  200. int pixel_type_to[2] = {ncnn::Mat::PIXEL_BGRA, ncnn::Mat::PIXEL_RGBA2BGRA};
  201. ncnn::Mat a = RandomMat(w, h, 4);
  202. ncnn::Mat a2;
  203. ncnn::convert_packing(a.reshape(w, h, 1), a2, 1);
  204. for (int i = 0; i < 2; i++)
  205. {
  206. ncnn::Mat m = ncnn::Mat::from_pixels_roi_resize(a, pixel_type_from[i], w, h, roix, roiy, roiw, roih, target_width, target_height);
  207. ncnn::Mat b2;
  208. ncnn::Mat c2;
  209. ncnn::copy_cut_border(a2, b2, roiy, h - (roiy + roih), roix, w - (roix + roiw));
  210. ncnn::convert_packing(b2, c2, 4);
  211. ncnn::Mat d2 = ncnn::Mat::from_pixels_resize(c2, pixel_type_from[i], c2.w, c2.h, target_width, target_height);
  212. if (memcmp(m, d2, target_width * target_height * d2.c) != 0)
  213. {
  214. 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);
  215. return -1;
  216. }
  217. }
  218. return 0;
  219. }
  220. static int test_mat_pixel_0()
  221. {
  222. for (int c = 1; c <= 4; c++)
  223. {
  224. int ret = 0
  225. || test_mat_pixel_resize(24, 48, c, 24, 48)
  226. || test_mat_pixel_resize(13, 17, c, 11, 14)
  227. || test_mat_pixel_resize(33, 23, c, 5, 6)
  228. || test_mat_pixel_resize(5, 4, c, 11, 16)
  229. || test_mat_pixel_resize(23, 11, c, 15, 21);
  230. if (ret != 0)
  231. return ret;
  232. }
  233. return 0;
  234. }
  235. static int test_mat_pixel_1()
  236. {
  237. return 0
  238. || test_mat_pixel_roi_resize_gray(16, 16, 1, 1, 13, 13, 10, 11)
  239. || test_mat_pixel_roi_resize_rgb(16, 16, 2, 1, 11, 11, 2, 3)
  240. || test_mat_pixel_roi_resize_bgr(16, 16, 1, 2, 11, 9, 22, 13)
  241. || test_mat_pixel_roi_resize_rgba(16, 16, 3, 2, 9, 11, 12, 4)
  242. || test_mat_pixel_roi_resize_bgra(16, 16, 2, 3, 9, 7, 7, 7);
  243. }
  244. static int test_mat_pixel_2()
  245. {
  246. return 0
  247. || test_mat_pixel_roi_resize_gray(15, 15, 2, 3, 2, 3, 2, 2)
  248. || test_mat_pixel_roi_resize_rgb(15, 15, 3, 4, 5, 4, 5, 4)
  249. || test_mat_pixel_roi_resize_bgr(15, 15, 4, 5, 6, 7, 4, 1)
  250. || test_mat_pixel_roi_resize_rgba(15, 15, 6, 6, 3, 4, 1, 3)
  251. || test_mat_pixel_roi_resize_bgra(15, 15, 7, 3, 1, 1, 1, 1);
  252. }
  253. int main()
  254. {
  255. SRAND(7767517);
  256. return test_mat_pixel_0() || test_mat_pixel_1() || test_mat_pixel_2();
  257. }